Prediction of Loan Default
Group 4
2024-01-13
Group Members:
1. Nicolas Sia Zheng Lim 23056541
2. Chiam Wei Wei 23054196
3. Seh Chia Shin 17202838
4. Ong Xi Yan 22099603
5. Phua Jia Yi 23051517
Data Source: https://tianchi.aliyun.com/competition/entrance/531830/information?lang=en-us.
Obtain - Data Collection
# Import datasets
df <- read.csv("Dataset/train.csv")# Load the packages
library(ggplot2)
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
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## filter, lag## The following objects are masked from 'package:base':
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## intersect, setdiff, setequal, unionlibrary(scales)
library(kableExtra)##
## Attaching package: 'kableExtra'## The following object is masked from 'package:dplyr':
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## group_rowslibrary(glmnet)## Loading required package: Matrix## Loaded glmnet 4.1-8library(randomForest)## randomForest 4.7-1.1## Type rfNews() to see new features/changes/bug fixes.##
## Attaching package: 'randomForest'## The following object is masked from 'package:dplyr':
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## combine## The following object is masked from 'package:ggplot2':
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## marginlibrary(lightgbm)##
## Attaching package: 'lightgbm'## The following object is masked from 'package:dplyr':
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## slicelibrary(xgboost)##
## Attaching package: 'xgboost'## The following object is masked from 'package:lightgbm':
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## slice## The following object is masked from 'package:dplyr':
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## slicelibrary(pROC)## Type 'citation("pROC")' for a citation.##
## Attaching package: 'pROC'## The following objects are masked from 'package:stats':
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## cov, smooth, varlibrary(caret)## Loading required package: latticelibrary(ROSE)## Loaded ROSE 0.0-4# Drop anonymized features n0-n14
df <- subset(df, select = 1:(ncol(df)-15))Scrub - Data Cleaning
# Understand Datasets
print(dim(df))## [1] 800000 32print(colnames(df))## [1] "id" "loanAmnt" "term"
## [4] "interestRate" "installment" "grade"
## [7] "subGrade" "employmentTitle" "employmentLength"
## [10] "homeOwnership" "annualIncome" "verificationStatus"
## [13] "issueDate" "isDefault" "purpose"
## [16] "postCode" "regionCode" "dti"
## [19] "delinquency_2years" "ficoRangeLow" "ficoRangeHigh"
## [22] "openAcc" "pubRec" "pubRecBankruptcies"
## [25] "revolBal" "revolUtil" "totalAcc"
## [28] "initialListStatus" "applicationType" "earliesCreditLine"
## [31] "title" "policyCode"Summary of missing value
comprehensive_summary <- function(data) {
col_info <- sapply(data, class)
missing_counts <- colSums(is.na(data))
non_null_counts <- colSums(!is.na(data))
summary_data <- data.frame(
DataType = col_info,
NonNullCount = non_null_counts,
MissingCount = missing_counts
)
return(summary_data)
}
comprehensive_summary(df)## DataType NonNullCount MissingCount
## id integer 800000 0
## loanAmnt numeric 800000 0
## term integer 800000 0
## interestRate numeric 800000 0
## installment numeric 800000 0
## grade character 800000 0
## subGrade character 800000 0
## employmentTitle numeric 799999 1
## employmentLength character 800000 0
## homeOwnership integer 800000 0
## annualIncome numeric 800000 0
## verificationStatus integer 800000 0
## issueDate character 800000 0
## isDefault integer 800000 0
## purpose integer 800000 0
## postCode numeric 799999 1
## regionCode integer 800000 0
## dti numeric 799761 239
## delinquency_2years numeric 800000 0
## ficoRangeLow numeric 800000 0
## ficoRangeHigh numeric 800000 0
## openAcc numeric 800000 0
## pubRec numeric 800000 0
## pubRecBankruptcies numeric 799595 405
## revolBal numeric 800000 0
## revolUtil numeric 799469 531
## totalAcc numeric 800000 0
## initialListStatus integer 800000 0
## applicationType integer 800000 0
## earliesCreditLine character 800000 0
## title numeric 799999 1
## policyCode numeric 800000 0Summary statistics
numeric_summary <- summary(df)
print(numeric_summary)## id loanAmnt term interestRate
## Min. :0e+00 Min. : 500 Min. :3.000 Min. : 5.31
## 1st Qu.:2e+05 1st Qu.: 8000 1st Qu.:3.000 1st Qu.: 9.75
## Median :4e+05 Median :12000 Median :3.000 Median :12.74
## Mean :4e+05 Mean :14417 Mean :3.483 Mean :13.24
## 3rd Qu.:6e+05 3rd Qu.:20000 3rd Qu.:3.000 3rd Qu.:15.99
## Max. :8e+05 Max. :40000 Max. :5.000 Max. :30.99
##
## installment grade subGrade employmentTitle
## Min. : 15.69 Length:800000 Length:800000 Min. : 0
## 1st Qu.: 248.45 Class :character Class :character 1st Qu.: 427
## Median : 375.13 Mode :character Mode :character Median : 7755
## Mean : 437.95 Mean : 72005
## 3rd Qu.: 580.71 3rd Qu.:117664
## Max. :1715.42 Max. :378351
## NA's :1
## employmentLength homeOwnership annualIncome verificationStatus
## Length:800000 Min. :0.0000 Min. : 0 Min. :0.00
## Class :character 1st Qu.:0.0000 1st Qu.: 45600 1st Qu.:0.00
## Mode :character Median :1.0000 Median : 65000 Median :1.00
## Mean :0.6142 Mean : 76134 Mean :1.01
## 3rd Qu.:1.0000 3rd Qu.: 90000 3rd Qu.:2.00
## Max. :5.0000 Max. :10999200 Max. :2.00
##
## issueDate isDefault purpose postCode
## Length:800000 Min. :0.0000 Min. : 0.000 Min. : 0.0
## Class :character 1st Qu.:0.0000 1st Qu.: 0.000 1st Qu.:103.0
## Mode :character Median :0.0000 Median : 0.000 Median :203.0
## Mean :0.1995 Mean : 1.746 Mean :258.5
## 3rd Qu.:0.0000 3rd Qu.: 4.000 3rd Qu.:395.0
## Max. :1.0000 Max. :13.000 Max. :940.0
## NA's :1
## regionCode dti delinquency_2years ficoRangeLow
## Min. : 0.00 Min. : -1.00 Min. : 0.0000 Min. :630.0
## 1st Qu.: 8.00 1st Qu.: 11.79 1st Qu.: 0.0000 1st Qu.:670.0
## Median :14.00 Median : 17.61 Median : 0.0000 Median :690.0
## Mean :16.39 Mean : 18.28 Mean : 0.3182 Mean :696.2
## 3rd Qu.:22.00 3rd Qu.: 24.06 3rd Qu.: 0.0000 3rd Qu.:710.0
## Max. :50.00 Max. :999.00 Max. :39.0000 Max. :845.0
## NA's :239
## ficoRangeHigh openAcc pubRec pubRecBankruptcies
## Min. :634.0 Min. : 0.0 Min. : 0.0000 Min. : 0.0000
## 1st Qu.:674.0 1st Qu.: 8.0 1st Qu.: 0.0000 1st Qu.: 0.0000
## Median :694.0 Median :11.0 Median : 0.0000 Median : 0.0000
## Mean :700.2 Mean :11.6 Mean : 0.2149 Mean : 0.1342
## 3rd Qu.:714.0 3rd Qu.:14.0 3rd Qu.: 0.0000 3rd Qu.: 0.0000
## Max. :850.0 Max. :86.0 Max. :86.0000 Max. :12.0000
## NA's :405
## revolBal revolUtil totalAcc initialListStatus
## Min. : 0 Min. : 0.00 Min. : 2 Min. :0.000
## 1st Qu.: 5944 1st Qu.: 33.40 1st Qu.: 16 1st Qu.:0.000
## Median : 11132 Median : 52.10 Median : 23 Median :0.000
## Mean : 16229 Mean : 51.79 Mean : 25 Mean :0.417
## 3rd Qu.: 19734 3rd Qu.: 70.70 3rd Qu.: 32 3rd Qu.:1.000
## Max. :2904836 Max. :892.30 Max. :162 Max. :1.000
## NA's :531
## applicationType earliesCreditLine title policyCode
## Min. :0.00000 Length:800000 Min. : 0 Min. :1
## 1st Qu.:0.00000 Class :character 1st Qu.: 0 1st Qu.:1
## Median :0.00000 Mode :character Median : 1 Median :1
## Mean :0.01927 Mean : 1754 Mean :1
## 3rd Qu.:0.00000 3rd Qu.: 5 3rd Qu.:1
## Max. :1.00000 Max. :61680 Max. :1
## NA's :1combined_rows <- rbind(head(df, 5), tail(df, 5))
print(combined_rows)## id loanAmnt term interestRate installment grade subGrade
## 1 0 35000 5 19.52 917.97 E E2
## 2 1 18000 5 18.49 461.90 D D2
## 3 2 12000 5 16.99 298.17 D D3
## 4 3 11000 3 7.26 340.96 A A4
## 5 4 3000 3 12.99 101.07 C C2
## 799996 799995 25000 3 14.49 860.41 C C4
## 799997 799996 17000 3 7.90 531.94 A A4
## 799998 799997 6000 3 13.33 203.12 C C3
## 799999 799998 19200 3 6.92 592.14 A A4
## 800000 799999 9000 3 11.06 294.91 B B3
## employmentTitle employmentLength homeOwnership annualIncome
## 1 320 2 years 2 110000
## 2 219843 5 years 0 46000
## 3 31698 8 years 0 74000
## 4 46854 10+ years 1 118000
## 5 54 1 29000
## 799996 2659 7 years 1 72000
## 799997 29205 10+ years 0 99000
## 799998 2582 10+ years 1 65000
## 799999 151 10+ years 0 96000
## 800000 13 5 years 0 120000
## verificationStatus issueDate isDefault purpose postCode regionCode
## 1 2 2014-07-01 1 1 137 32
## 2 2 2012-08-01 0 0 156 18
## 3 2 2015-10-01 0 0 337 14
## 4 1 2015-08-01 0 4 148 11
## 5 2 2016-03-01 0 10 301 21
## 799996 0 2016-07-01 0 0 242 8
## 799997 2 2013-04-01 0 4 563 10
## 799998 2 2015-10-01 1 0 47 17
## 799999 2 2015-02-01 0 4 34 18
## 800000 0 2018-08-01 0 4 62 13
## dti delinquency_2years ficoRangeLow ficoRangeHigh openAcc pubRec
## 1 17.05 0 730 734 7 0
## 2 27.83 0 700 704 13 0
## 3 22.77 0 675 679 11 0
## 4 17.21 0 685 689 9 0
## 5 32.16 0 690 694 12 0
## 799996 19.03 0 710 714 14 0
## 799997 15.72 1 720 724 7 0
## 799998 12.11 1 670 674 5 0
## 799999 29.25 0 675 679 16 0
## 800000 8.99 0 695 699 7 0
## pubRecBankruptcies revolBal revolUtil totalAcc initialListStatus
## 1 0 24178 48.9 27 0
## 2 0 15096 38.9 18 1
## 3 0 4606 51.8 27 0
## 4 0 9948 52.6 28 1
## 5 0 2942 32.0 27 0
## 799996 0 9933 46.4 15 1
## 799997 0 20472 98.4 42 0
## 799998 0 6381 51.9 36 1
## 799999 0 69702 61.3 37 1
## 800000 0 8420 72.6 13 0
## applicationType earliesCreditLine title policyCode
## 1 0 Aug-2001 1 1
## 2 0 May-2002 1723 1
## 3 0 May-2006 0 1
## 4 0 May-1999 4 1
## 5 0 Aug-1977 11 1
## 799996 0 Aug-2011 0 1
## 799997 0 May-1989 33369 1
## 799998 0 Jul-2002 0 1
## 799999 0 Jan-1994 4 1
## 800000 0 Feb-2002 4 1Data Preprocessing
Handle Missing Data
# Columns differentiate to Numerical and Categorical
numerical_fea <- colnames(df)[sapply(df, is.numeric)]
category_fea <- colnames(df)[!colnames(df) %in% numerical_fea]
label <- 'isDefault'# Remove the label column from the list of numerical features
numerical_fea <- numerical_fea[numerical_fea != label]# Check for missing values count
missing_counts <- colSums(is.na(df))
print(missing_counts)## id loanAmnt term interestRate
## 0 0 0 0
## installment grade subGrade employmentTitle
## 0 0 0 1
## employmentLength homeOwnership annualIncome verificationStatus
## 0 0 0 0
## issueDate isDefault purpose postCode
## 0 0 0 1
## regionCode dti delinquency_2years ficoRangeLow
## 0 239 0 0
## ficoRangeHigh openAcc pubRec pubRecBankruptcies
## 0 0 0 405
## revolBal revolUtil totalAcc initialListStatus
## 0 531 0 0
## applicationType earliesCreditLine title policyCode
## 0 0 1 0Fill out missing values by data type
# Fill missing values in numerical features with the median
df <- df %>%
mutate(across(all_of(numerical_fea), ~ifelse(is.na(.), median(., na.rm = TRUE), .)))# Fill missing values in categorical features with the mode
df <- df %>%
mutate(across(all_of(category_fea), ~ifelse(is.na(.), as.character(stats::mode(.)), .)))# Check for missing values count
print(colSums(is.na(df)))## id loanAmnt term interestRate
## 0 0 0 0
## installment grade subGrade employmentTitle
## 0 0 0 0
## employmentLength homeOwnership annualIncome verificationStatus
## 0 0 0 0
## issueDate isDefault purpose postCode
## 0 0 0 0
## regionCode dti delinquency_2years ficoRangeLow
## 0 0 0 0
## ficoRangeHigh openAcc pubRec pubRecBankruptcies
## 0 0 0 0
## revolBal revolUtil totalAcc initialListStatus
## 0 0 0 0
## applicationType earliesCreditLine title policyCode
## 0 0 0 0Data Transformation
#issueDate: Convert to Date format
df$issueDate <- as.Date(df$issueDate, format = "%Y-%m-%d")EmploymentLength: Covert to numerical values
# Custom function to convert employment length to integers
employmentLength_to_int <- function(s) {
if (is.na(s)) {
return(s)
} else {
return(as.integer(unlist(strsplit(s, " "))[1]))
}
}# Display the counts before conversion
employment_length_counts_before <- table(df$employmentLength, useNA = "ifany")
print(employment_length_counts_before)##
## < 1 year 1 year 10+ years 2 years 3 years 4 years 5 years
## 46799 64237 52489 262753 72358 64152 47985 50102
## 6 years 7 years 8 years 9 years
## 37254 35407 36192 30272# Replace specific values in the 'employmentLength' column
replace_values <- function(data) {
data$employmentLength[data$employmentLength == "10+ years"] <- "10 years"
data$employmentLength[data$employmentLength == "< 1 year"] <- "0 years"
data$employmentLength <- sapply(data$employmentLength, employmentLength_to_int)
return(data)
}
df <- replace_values(df)# Display the counts after conversion
employment_length_counts_after <- table(df$employmentLength, useNA = "ifany")
print(employment_length_counts_after)##
## 0 1 2 3 4 5 6 7 8 9 10
## 64237 52489 72358 64152 47985 50102 37254 35407 36192 30272 262753
## <NA>
## 46799EarliesCreditLine: Extract only year values
values_earliesCreditLine <- df[sample(nrow(df), 5), 'earliesCreditLine']
print(values_earliesCreditLine)## [1] "Sep-2006" "Oct-1991" "Dec-2009" "Sep-1976" "Nov-1989"# Extract last 4 characters and convert to integer
extract_last_4_and_convert <- function(s) {
as.integer(substr(s, nchar(s) - 3, nchar(s)))
}
df$earliesCreditLine <- sapply(df$earliesCreditLine, extract_last_4_and_convert)Encode Categorical Data
# Categorical features
cate_features <- c('grade', 'subGrade', 'employmentTitle', 'homeOwnership', 'verificationStatus', 'purpose', 'postCode', 'regionCode',
'applicationType', 'initialListStatus', 'title', 'policyCode')
for (f in cate_features) {
num_unique <- length(unique(df[[f]]))
cat(f, ":" ,num_unique, "\n")
}## grade : 7
## subGrade : 35
## employmentTitle : 248683
## homeOwnership : 6
## verificationStatus : 3
## purpose : 14
## postCode : 932
## regionCode : 51
## applicationType : 2
## initialListStatus : 2
## title : 39644
## policyCode : 1Create a factor with numeric levels for ‘grade’. Then, convert the factor to numeric
df$grade <- factor(df$grade, levels = c('A', 'B', 'C', 'D', 'E', 'F', 'G'), labels = c(1, 2, 3, 4, 5, 6, 7))
df$grade <- as.numeric(df$grade)Exploratory Data Analysis
Start from cleaned data and Data
df <- read.csv("Dataset/df_train_cleaned.csv")- Loan Default Rate
TotalBaseUser<-n_distinct(df$id)
EDA_isDefault<-df %>%
group_by(isDefault)%>%
summarize(n_users=n_distinct(id),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100)
)
EDA_isDefault## # A tibble: 2 × 3
## isDefault n_users rate_users
## <int> <int> <chr>
## 1 0 640390 80%
## 2 1 159610 20%chart_isDefault<-ggplot(EDA_isDefault, aes(x=factor(isDefault),y=n_users))+
geom_bar(stat = "identity", fill = "blue")+
labs(title = "% Loan Default in the Training Dataset", x = "isDefault", y = "Total Users")+
scale_y_continuous(labels = scales::comma_format())+
geom_text(aes(label = scales::comma(n_users), vjust = -0.5), color = "black", size = 3)+
geom_text(aes(label = rate_users, vjust = 2), color = "white", size = 4)
chart_isDefault
- issueDate
# Extract the year and create a new column
df$issueDate <- as.Date(df$issueDate, format = "%Y-%m-%d")
df$year <- format(df$issueDate, "%Y")# convert df$year it to numeric
df$G_year <- factor(df$year)# Group by year and summarize the total loan applications
summary_by_year <- df %>%
group_by(G_year) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
summary_by_year## # A tibble: 12 × 6
## G_year n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 2007 157 0% 28 0.178 17.83%
## 2 2008 907 0% 147 0.162 16.21%
## 3 2009 2781 0% 347 0.125 12.48%
## 4 2010 6861 1% 902 0.131 13.15%
## 5 2011 12924 2% 1882 0.146 14.56%
## 6 2012 31895 4% 5101 0.160 15.99%
## 7 2013 79943 10% 12469 0.156 15.60%
## 8 2014 133087 17% 24525 0.184 18.43%
## 9 2015 223387 28% 45136 0.202 20.21%
## 10 2016 173907 22% 40535 0.233 23.31%
## 11 2017 100736 13% 23274 0.231 23.10%
## 12 2018 33415 4% 5264 0.158 15.75%summary_by_year$G_year<-factor(summary_by_year$G_year)# Assuming summary_by_year is your data frame
chart_G_year <- ggplot(summary_by_year, aes(x = G_year)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.5, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "Number of Users by Year and Loan Default Rate", x = "Year", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))
print(chart_G_year)
- purpose
summary_purpose <- df %>%
group_by(purpose) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
summary_purpose## # A tibble: 14 × 6
## purpose n_users rate_users n_default rate_default_numeric default_rate
## <int> <dbl> <chr> <dbl> <dbl> <chr>
## 1 0 464096 58% 98096 0.211 21.14%
## 2 1 9106 1% 2688 0.295 29.52%
## 3 2 52129 7% 9160 0.176 17.57%
## 4 3 17579 2% 3330 0.189 18.94%
## 5 4 175433 22% 29697 0.169 16.93%
## 6 5 46276 6% 9702 0.210 20.97%
## 7 6 4354 1% 983 0.226 22.58%
## 8 7 5373 1% 1054 0.196 19.62%
## 9 8 8657 1% 1265 0.146 14.61%
## 10 9 9238 1% 2017 0.218 21.83%
## 11 10 5652 1% 1298 0.230 22.97%
## 12 11 554 0% 132 0.238 23.83%
## 13 12 1363 0% 152 0.112 11.15%
## 14 13 190 0% 36 0.189 18.95%# Assuming summary_by_year is your data frame
chart_purpose <- ggplot(summary_purpose, aes(x = purpose)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.5, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "Number of Users by Purpose and Loan Default Rate", x = "Purpose", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(), sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))+
scale_x_continuous(breaks = seq(1, 13, by = 1))
print(chart_purpose)
- regionCode
summary_region <- df %>%
group_by(regionCode) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
summary_region## # A tibble: 51 × 6
## regionCode n_users rate_users n_default rate_default_numeric default_rate
## <int> <dbl> <chr> <dbl> <dbl> <chr>
## 1 0 27180 3% 5663 0.208 20.84%
## 2 1 1624 0% 338 0.208 20.81%
## 3 2 30513 4% 5531 0.181 18.13%
## 4 3 25766 3% 4784 0.186 18.57%
## 5 4 14177 2% 2793 0.197 19.70%
## 6 5 9581 1% 1536 0.160 16.03%
## 7 6 3496 0% 615 0.176 17.59%
## 8 7 22600 3% 4710 0.208 20.84%
## 9 8 116921 15% 22813 0.195 19.51%
## 10 9 22902 3% 4596 0.201 20.07%
## # ℹ 41 more rows# Assuming summary_by_year is your data frame
chart_region <- ggplot(summary_region, aes(x = regionCode)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.3, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 2) +
labs(title = "Number of Users by Region and Loan Default Rate", x = "Region", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(),sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))+
scale_x_continuous(breaks = seq(1, 50, by = 1))
print(chart_region)
- delinquency_2years
summary(df$delinquency_2years)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.0000 0.0000 0.0000 0.3182 0.0000 39.0000# Define the breaks for the groups
breaks <- c(0, 3, 7, 11, 15, 19, 23, 27, 31, 35, 39)
labels <- c("G1 (0 - 3)", "G2 (4 - 7)", "G3 (8 - 11)","G4 (12 - 15)","G5 (16 - 19)", "G6 (20 - 23)","G7 (24 - 27)","G8 (28 - 31)","G9 (32 - 35)","G10 (36 - 39)")
df$G_delinquency <- cut(df$delinquency_2years, breaks = breaks, labels = labels, include.lowest = TRUE)
summary_delinquency <- df %>%
group_by(G_delinquency) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
print(summary_delinquency)## # A tibble: 9 × 6
## G_delinquency n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 G1 (0 - 3) 789164 99% 157028 0.199 19.90%
## 2 G2 (4 - 7) 9481 1% 2267 0.239 23.91%
## 3 G3 (8 - 11) 1072 0% 238 0.222 22.20%
## 4 G4 (12 - 15) 212 0% 58 0.274 27.36%
## 5 G5 (16 - 19) 49 0% 13 0.265 26.53%
## 6 G6 (20 - 23) 13 0% 4 0.308 30.77%
## 7 G7 (24 - 27) 5 0% 2 0.4 40.00%
## 8 G8 (28 - 31) 3 0% 0 0 0.00%
## 9 G10 (36 - 39) 1 0% 0 0 0.00%# Define the breaks for the groups
breaks <- c(0,0.01,39)
labels <- c("G1 (0)", "G2 (>=1)")
df$G_delinquency <- cut(df$delinquency_2years, breaks = breaks, labels = labels, include.lowest = TRUE)
summary_delinquency <- df %>%
group_by(G_delinquency) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
print(summary_delinquency)## # A tibble: 2 × 6
## G_delinquency n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 G1 (0) 645715 81% 126450 0.196 19.58%
## 2 G2 (>=1) 154285 19% 33160 0.215 21.49%# Assuming summary_by_year is your data frame
chart_delinquency <- ggplot(summary_delinquency, aes(x = G_delinquency)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.7, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "Delinquency within pass 2 years vs Loan Default Rate", x = "Delinquency within pass 2 years", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(),sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))
print(chart_delinquency)
- dti
#2b group the loan amount by quartile for better visualisation
summary(df$dti)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -1.00 11.80 17.61 18.28 24.06 999.00# Define the breaks for the groups
breaks <- c(-1, 11.8, 17.61, 18.28, 24.06, 999)# Define the labels for the quartiles
labels <- c("G1 (-1 - 11.8)", "G2 (11.81 - 17.61)", "G3 (17.62 - 18.28)","G4(18.29-24.06)","G5(24.07 - 999)")# Create the G_loanamount variable based on the loanAmnt column
df$G_dti <- cut(df$dti, breaks = breaks, labels = labels, include.lowest = TRUE)
summary_dti <- df %>%
group_by(G_dti) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
print(summary_dti)## # A tibble: 5 × 6
## G_dti n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 G1 (-1 - 11.8) 200306 25% 30438 0.152 15.20%
## 2 G2 (11.81 - 17… 199847 25% 35195 0.176 17.61%
## 3 G3 (17.62 - 18… 23006 3% 4428 0.192 19.25%
## 4 G4(18.29-24.06) 177083 22% 37119 0.210 20.96%
## 5 G5(24.07 - 999) 199758 25% 52430 0.262 26.25%# Assuming summary_by_year is your data frame
summary_dti$G_dti<-factor(summary_dti$G_dti)
chart_dti <- ggplot(summary_dti, aes(x = G_dti)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.7, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "Debt to Income Ratio vs Loan Default Rate", x = "Debt to Income Ratio by Range", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(),sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))
print(chart_dti)
- ficoRangeLow
Group the loan amount by quartile for better visualisation
summary(df$ficoRangeLow)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 630.0 670.0 690.0 696.2 710.0 845.0# Define the breaks for the groups
breaks <- c(630, 670, 690, 696.2, 710, 845)# Define the labels for the quartiles
labels <- c("G1 (630 - 670)", "G2 (670.1 - 690)", "G3 (690.1 - 696.2)","G4 (696.3 - 710 )","G5 (710.1 - 845)")# Create the G_loanamount variable based on the loanAmnt column
df$G_low <- cut(df$ficoRangeLow, breaks = breaks, labels = labels, include.lowest = TRUE)
summary_low <- df %>%
group_by(G_low) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
print(summary_low)## # A tibble: 5 × 6
## G_low n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 G1 (630 - 670) 211409 26% 54626 0.258 25.84%
## 2 G2 (670.1 - 69… 229001 29% 51039 0.223 22.29%
## 3 G3 (690.1 - 69… 47065 6% 9268 0.197 19.69%
## 4 G4 (696.3 - 71… 116618 15% 20629 0.177 17.69%
## 5 G5 (710.1 - 84… 195907 24% 24048 0.123 12.28%summary_low$G_Low<-factor(summary_low$G_low)# Assuming summary_by_year is your data frame
chart_low <- ggplot(summary_low, aes(x = G_low)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.7, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "FICO Range Low vs Loan Default Rate", x = "FICO Range Low", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(),sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))
print(chart_low)
#2b group the loan amount by quartile for better visualisation
summary(df$ficoRangeHigh)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 634.0 674.0 694.0 700.2 714.0 850.0# Define the breaks for the groups
breaks <- c(634, 674, 694, 700.2, 714, 850)# Define the labels for the quartiles
labels <- c("G1 (634 - 674)", "G2 (674.1 - 694)", "G3 (694.1 - 700.2)", "G4 (700.3 - 714)","G5 (714.1 - 850 )")# Create the G_loanamount variable based on the loanAmnt column
df$G_high <- cut(df$ficoRangeHigh, breaks = breaks, labels = labels, include.lowest = TRUE)summary_high <- df %>%
group_by(G_high) %>%
summarize(n_users=as.numeric(n_distinct(id)),
rate_users=sprintf("%.f%%",n_distinct(id)/TotalBaseUser*100),
n_default=as.numeric(sum(isDefault==1)),
rate_default_numeric=ifelse(is.na(n_default/n_users),0,n_default/n_users),
default_rate=sprintf("%.2f%%",n_default/n_users*100)
)
print(summary_high)## # A tibble: 5 × 6
## G_high n_users rate_users n_default rate_default_numeric default_rate
## <fct> <dbl> <chr> <dbl> <dbl> <chr>
## 1 G1 (634 - 674) 211409 26% 54626 0.258 25.84%
## 2 G2 (674.1 - 69… 229001 29% 51039 0.223 22.29%
## 3 G3 (694.1 - 70… 47065 6% 9268 0.197 19.69%
## 4 G4 (700.3 - 71… 116618 15% 20629 0.177 17.69%
## 5 G5 (714.1 - 85… 195907 24% 24048 0.123 12.28%summary_high$G_high<-factor(summary_high$G_high)# Assuming summary_by_year is your data frame
chart_high <- ggplot(summary_high, aes(x = G_high)) +
geom_line(aes(y=rate_default_numeric*1000000, group = 1),stat = "identity", color="red",linewidth=0.5) +
geom_col(aes(y = n_users), width = 0.7, fill = "blue") +
#geom_col(aes(y = n_default), width = 0.5, fill = "red") +
geom_text(aes(y = rate_default_numeric*1000000, label = default_rate),
vjust = -0.5, hjust = 0.5, color = "red", size = 3) +
geom_text(aes(y = n_users, label = paste(n_users, "(", rate_users, ")")),
vjust = -0.5, hjust = 0.5, color = "blue", size = 3) +
labs(title = "FICO Range High vs Loan Default Rate", x = "FICO Range High", y = "Total Users")+
geom_point(aes(y=rate_default_numeric*1000000),stat="identity",color="red",size=1)+
theme(plot.title = element_text(hjust = 0.5)) + # Center the title
scale_y_continuous(labels = scales::comma_format(),sec.axis=sec_axis(~.*0.000001,name="Loan Default Rate", labels=scales::percent))
print(chart_high)
Modeling and Evaluation
Logistic Regression model
Split the dataset into 80% Train and 20% test
Import cleaned train and test dataset
# Set a seed for reproducibility
set.seed(123)
data_train <- read.csv("Dataset/df_train_cleaned_Standardized.csv")
data_test <- read.csv("Dataset/df_test_cleaned_Standardized.csv")Select important Features
features <- c("isDefault", "loanAmnt", "term", "grade_numeric", "interestRate","annualIncome", "dti", "delinquency_2years", "ficoRangeLow", "ficoRangeHigh")
lr_df_train <- data_train[features]
lr_df_test <- data_test[features]
lr_df_train$isDefault <- as.factor(lr_df_train$isDefault)
levels(lr_df_train$isDefault)## [1] "0" "1"Built Logistic Regression Model
# Fit logistic regression model
model <- glm(isDefault ~ ., data = lr_df_train, family = "binomial")## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred# Summary of the logistic regression model
summary(model)##
## Call:
## glm(formula = isDefault ~ ., family = "binomial", data = lr_df_train)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -4.245e-01 1.710e+00 -0.248 0.804
## loanAmnt 1.009e-05 4.678e-07 21.562 < 2e-16 ***
## term 2.240e-01 4.180e-03 53.582 < 2e-16 ***
## grade_numeric 2.093e-01 7.866e-03 26.603 < 2e-16 ***
## interestRate 4.009e-02 2.107e-03 19.029 < 2e-16 ***
## annualIncome -3.168e-06 9.418e-08 -33.635 < 2e-16 ***
## dti 1.134e-02 3.627e-04 31.260 < 2e-16 ***
## delinquency_2years 1.418e-02 3.571e-03 3.971 7.16e-05 ***
## ficoRangeLow -3.357e-01 4.278e-01 -0.785 0.433
## ficoRangeHigh 3.293e-01 4.278e-01 0.770 0.441
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 640032 on 639999 degrees of freedom
## Residual deviance: 588778 on 639990 degrees of freedom
## AIC: 588798
##
## Number of Fisher Scoring iterations: 5predictions <- predict(model, newdata = lr_df_test, type = "response")lr_pred_df <- cbind(lr_df_test, predictions)
lr_pred_df## isDefault loanAmnt term grade_numeric interestRate annualIncome dti
## 1 0 3000 3 3 12.99 29000.00 32.16
## 2 0 2050 3 1 7.69 35000.00 17.49
## 3 0 11500 3 3 14.98 30000.00 32.60
## 4 0 5600 3 2 13.67 38000.00 14.21
## 5 0 19200 3 4 20.00 88000.00 7.58
## 6 0 3000 3 3 12.29 60000.00 17.10
## 7 1 20000 3 3 14.08 47500.00 24.36
## 8 0 15000 3 2 14.09 40000.00 20.10
## 9 0 18000 3 1 7.49 68000.00 23.88
## 10 1 35000 5 5 22.70 130000.00 9.31
## 11 1 15000 5 5 19.24 52000.00 5.47
## 12 0 10000 3 1 7.89 75000.00 13.30
## 13 0 18000 3 2 8.49 250000.00 7.37
## 14 0 15000 3 2 11.44 94000.00 16.32
## 15 0 20000 3 1 7.89 200000.00 19.57
## 16 0 14400 3 1 7.89 55000.00 25.60
## 17 0 35000 3 2 10.64 85000.00 22.47
## 18 0 16000 5 3 14.16 120000.00 34.77
## 19 0 16000 3 1 6.99 101000.00 11.98
## 20 0 30000 3 2 10.90 100000.00 6.24
## 21 0 35000 5 3 16.29 120000.00 16.86
## 22 0 15000 3 1 5.32 66000.00 18.04
## 23 0 20000 3 3 16.24 70000.00 16.90
## 24 0 5375 3 4 17.77 23000.00 7.67
## 25 0 28000 5 3 13.65 74300.00 23.50
## 26 0 16375 3 4 19.53 70000.00 22.22
## 27 0 6000 3 1 6.24 40000.00 6.03
## 28 1 24350 3 3 14.49 68193.36 32.88
## 29 1 18000 5 5 19.99 67500.00 33.24
## 30 0 5500 3 3 15.04 23063.57 36.34
## 31 0 13000 3 4 17.56 65000.00 19.03
## 32 0 21600 3 3 13.68 120000.00 18.15
## 33 1 17325 3 2 12.49 39250.00 30.58
## 34 0 5000 3 3 13.33 102000.00 7.61
## 35 0 10000 3 2 12.73 100000.00 14.75
## 36 0 9000 3 2 9.99 52000.00 23.45
## 37 1 35000 5 4 17.57 150000.00 15.31
## 38 0 5000 3 3 11.99 90000.00 11.51
## 39 0 15000 3 3 14.49 65000.00 17.28
## 40 0 10000 3 1 8.90 44097.00 20.55
## 41 0 35000 3 2 14.09 83000.00 15.40
## 42 0 5225 3 3 14.46 50000.00 23.67
## 43 0 13000 3 2 11.49 41800.00 28.40
## 44 0 32000 3 2 9.99 127488.00 21.21
## 45 1 25000 5 3 15.31 70000.00 14.04
## 46 1 5100 3 2 9.93 48000.00 16.98
## 47 1 15750 3 4 19.99 37500.00 19.97
## 48 0 14650 3 3 15.99 100000.00 29.46
## 49 0 13600 3 1 7.90 58000.00 14.05
## 50 0 10000 3 4 15.61 100000.00 18.79
## 51 0 21600 3 1 8.39 67000.00 4.53
## 52 0 30000 5 6 23.99 130000.00 19.02
## 53 0 7200 3 2 10.49 56000.00 3.58
## 54 0 6400 3 1 7.89 100000.00 10.65
## 55 0 20000 3 2 11.44 77000.00 16.43
## 56 0 5000 3 4 16.59 19000.00 27.80
## 57 0 23000 3 1 5.32 230000.00 9.11
## 58 1 29400 5 6 27.79 70000.00 26.69
## 59 0 18400 5 2 11.44 110000.00 23.17
## 60 0 15275 5 7 27.88 57000.00 22.91
## 61 0 16100 3 4 16.99 35000.00 24.62
## 62 0 20000 3 2 11.53 55000.00 17.70
## 63 1 15000 5 5 19.19 46000.00 22.02
## 64 0 8000 3 2 9.99 53052.00 18.95
## 65 0 35000 5 6 23.33 250000.00 4.05
## 66 0 12500 3 2 11.14 90000.00 10.96
## 67 1 13400 5 4 17.86 45000.00 33.04
## 68 1 20425 3 7 30.89 65000.00 34.58
## 69 0 5000 3 2 12.49 62000.00 11.71
## 70 0 15000 5 4 20.89 54000.00 21.09
## 71 0 26900 3 4 17.86 87000.00 29.05
## 72 0 18725 3 4 17.86 62000.00 5.30
## 73 1 28000 5 5 16.40 275000.00 6.80
## 74 0 10000 3 1 6.89 140000.00 3.99
## 75 0 6000 3 2 10.42 40000.00 19.26
## 76 0 12000 5 3 15.31 64800.00 21.72
## 77 0 30000 5 4 16.99 70000.00 31.17
## 78 1 3125 3 5 19.99 68900.00 15.03
## 79 0 20000 3 2 10.99 85000.00 2.46
## 80 0 30000 3 2 11.49 120000.00 12.37
## 81 0 8000 3 2 10.99 48000.00 13.18
## 82 0 16000 3 2 12.49 47000.00 28.26
## 83 0 35000 5 4 18.94 253300.00 14.70
## 84 1 15125 5 3 12.05 35000.00 17.18
## 85 0 7200 3 1 8.59 82000.00 21.95
## 86 0 8875 3 5 18.54 55000.00 11.30
## 87 0 14400 3 2 9.76 65000.00 7.33
## 88 0 10000 5 3 14.08 90000.00 11.52
## 89 1 6000 3 2 11.44 50000.00 21.24
## 90 0 20700 3 3 11.99 54000.00 29.80
## 91 0 20525 5 5 20.75 46684.00 23.24
## 92 0 9000 3 3 14.33 55000.00 10.28
## 93 0 6000 3 3 11.99 55000.00 21.84
## 94 0 24000 5 3 12.39 62000.00 16.63
## 95 0 5000 3 1 6.72 26808.00 3.80
## 96 1 24000 5 2 11.53 64000.00 25.45
## 97 1 9925 3 4 18.92 26500.00 33.92
## 98 1 24000 5 5 18.25 75000.00 24.06
## 99 0 7200 5 6 23.70 42000.00 21.68
## 100 0 8000 3 2 9.99 50000.00 15.00
## 101 0 10000 3 3 13.67 42000.00 6.71
## 102 1 11900 3 4 19.99 34000.00 4.31
## 103 0 6650 3 2 9.17 21000.00 32.34
## 104 0 14000 5 3 14.46 97000.00 13.98
## 105 0 5000 3 2 10.15 46000.00 30.76
## 106 0 5000 3 3 11.99 16000.00 11.78
## 107 0 12000 3 1 7.89 105000.00 12.63
## 108 0 25000 5 5 25.81 78000.00 41.11
## 109 0 20000 3 1 7.62 120000.00 9.06
## 110 0 5375 3 4 20.20 20000.00 21.43
## 111 0 21000 5 2 11.55 145000.00 14.66
## 112 0 14000 5 3 13.67 48000.00 16.80
## 113 0 5600 3 2 9.75 85000.00 7.62
## 114 0 9000 3 3 13.98 35000.00 22.70
## 115 0 1000 3 5 19.99 41000.00 7.82
## 116 0 28000 3 2 10.99 179000.00 15.38
## 117 0 1000 3 5 23.40 46857.00 10.50
## 118 0 15000 5 3 15.05 37000.00 6.81
## 119 0 28000 3 1 6.03 86500.00 13.76
## 120 0 22500 5 3 13.99 80000.00 15.44
## 121 0 23200 3 3 12.99 53000.00 10.03
## 122 0 6000 3 2 11.53 67600.00 24.13
## 123 0 4000 3 2 9.75 75000.00 15.70
## 124 0 12000 3 3 15.22 98000.00 28.87
## 125 1 3000 3 5 21.00 48000.00 24.80
## 126 0 10625 3 2 13.11 32000.00 8.75
## 127 0 3600 3 3 13.58 53574.60 21.95
## 128 0 14000 3 1 7.26 50000.00 29.60
## 129 0 27975 3 4 15.61 70000.00 21.46
## 130 0 18000 3 2 10.15 70000.00 30.12
## 131 0 3600 3 3 13.99 46000.00 13.09
## 132 0 10000 3 2 9.44 96000.00 11.56
## 133 0 29700 5 2 12.12 60000.00 16.96
## 134 0 12000 3 2 12.42 80000.00 13.90
## 135 1 5000 3 3 14.46 19000.00 27.01
## 136 0 3500 3 1 6.62 69996.00 23.33
## 137 0 14000 3 1 6.97 42600.00 7.63
## 138 0 10000 3 2 11.49 34000.00 24.50
## 139 0 24000 5 2 9.75 110900.00 32.24
## 140 0 6400 3 3 16.29 106000.00 18.50
## 141 0 35000 3 4 16.99 120000.00 20.52
## 142 0 18000 3 1 7.49 60000.00 18.82
## 143 0 35000 3 4 19.05 150000.00 13.25
## 144 0 20000 3 2 9.99 50000.00 20.00
## 145 0 12000 3 1 8.46 51000.00 12.99
## 146 0 10000 3 2 8.39 36400.00 16.98
## 147 0 10000 3 2 10.64 30000.00 17.04
## 148 0 8000 3 1 6.24 60926.00 21.08
## 149 0 4200 3 3 16.20 42000.00 24.36
## 150 0 4800 3 3 14.49 22500.00 11.73
## 151 1 5600 3 1 8.39 105000.00 20.89
## 152 1 5200 3 2 9.75 90000.00 6.09
## 153 0 18000 5 2 9.44 120000.00 15.46
## 154 0 11500 3 2 13.53 81000.00 28.31
## 155 0 7500 3 3 12.69 68000.00 18.14
## 156 0 14000 3 3 14.33 40000.00 24.08
## 157 1 28000 5 4 17.86 71000.00 26.03
## 158 0 6000 3 2 11.99 85000.00 10.12
## 159 0 13000 3 1 7.39 65000.00 16.67
## 160 0 3000 3 3 17.27 35000.00 23.52
## 161 0 4000 3 1 7.99 78000.00 18.05
## 162 0 25000 5 3 14.46 83200.00 10.46
## 163 0 19000 5 5 22.70 75000.00 22.74
## 164 0 5000 3 2 9.99 25000.00 20.26
## 165 0 7000 3 4 15.59 56000.00 13.72
## 166 0 3000 3 2 8.24 60000.00 14.72
## 167 1 14400 5 6 21.99 40000.00 23.25
## 168 1 24000 3 1 7.89 350000.00 6.50
## 169 0 11000 3 2 11.49 32000.00 31.02
## 170 0 7000 3 1 7.62 75000.00 11.98
## 171 0 9600 3 1 7.34 90000.00 16.05
## 172 0 12000 5 4 16.99 54000.00 21.73
## 173 0 13600 3 3 13.99 34000.00 27.04
## 174 0 35000 5 3 12.39 80000.00 30.11
## 175 0 18525 3 2 10.99 79000.00 8.89
## 176 1 10000 3 1 7.26 24000.00 22.40
## 177 0 15000 3 1 5.32 230000.00 9.45
## 178 1 20000 5 5 20.49 65000.00 22.13
## 179 0 24000 5 2 9.44 124845.00 2.67
## 180 0 35000 3 3 15.22 87370.00 18.82
## 181 0 1000 3 4 16.49 36500.00 31.67
## 182 1 6000 3 2 9.17 42200.00 18.43
## 183 0 15000 3 1 6.24 49000.00 29.17
## 184 0 25200 3 1 6.49 188800.00 17.85
## 185 0 12000 3 2 9.49 110000.00 6.01
## 186 0 8000 3 2 11.39 72000.00 28.67
## 187 0 16000 5 3 13.33 131000.00 10.77
## 188 0 3700 3 5 18.99 53000.00 33.02
## 189 0 15000 3 1 6.03 57575.00 13.34
## 190 0 11400 5 2 11.67 42000.00 23.29
## 191 0 8400 3 2 11.49 47840.00 12.87
## 192 0 35000 5 4 17.57 80000.00 11.18
## 193 0 33000 3 1 5.32 130000.00 16.76
## 194 0 15350 3 3 11.99 30720.00 16.52
## 195 0 19575 5 4 18.25 70000.00 24.62
## 196 0 15000 3 2 9.99 54600.00 4.75
## 197 0 10000 3 3 14.33 51000.00 21.53
## 198 0 16000 3 2 12.49 80000.00 8.75
## 199 0 16200 3 4 17.57 45000.00 10.46
## 200 0 22500 5 3 13.99 45000.00 10.94
## 201 0 5000 3 3 12.79 84250.00 33.25
## 202 0 7200 3 2 11.67 35000.00 12.65
## 203 0 6000 3 2 8.18 62150.00 15.14
## 204 0 15000 3 3 13.35 54000.00 18.92
## 205 0 10000 3 3 14.49 59400.00 25.74
## 206 0 25000 3 2 10.99 136678.00 10.29
## 207 0 29700 5 4 19.52 66000.00 14.98
## 208 0 5600 3 6 24.50 18720.00 23.08
## 209 0 25000 3 2 8.39 79500.00 25.02
## 210 0 35000 5 3 13.35 180000.00 30.93
## 211 0 14400 3 2 8.99 47000.00 13.64
## 212 0 25000 3 1 6.24 74600.00 19.23
## 213 0 10000 3 3 15.31 40000.00 18.45
## 214 1 8000 3 3 12.99 74000.00 17.06
## 215 0 20000 5 2 9.17 80000.00 12.45
## 216 1 10000 3 2 9.75 187000.00 2.09
## 217 0 10000 3 3 13.49 24000.00 18.40
## 218 1 30000 5 5 23.99 75000.00 27.50
## 219 0 2800 3 2 9.49 39900.00 24.21
## 220 0 10075 3 4 19.99 128000.00 9.39
## 221 0 15000 5 3 13.33 63000.00 30.61
## 222 1 15000 3 2 10.99 36000.00 29.40
## 223 0 15000 5 2 8.39 70000.00 23.85
## 224 1 32000 5 4 15.61 85000.00 31.87
## 225 0 10000 3 1 7.49 30000.00 13.24
## 226 1 35000 5 3 11.99 90000.00 16.29
## 227 1 13000 3 4 16.29 38000.00 18.73
## 228 0 35000 5 3 13.99 124000.00 24.62
## 229 0 20000 3 2 9.17 59000.00 24.21
## 230 0 3000 3 2 10.49 53000.00 7.61
## 231 1 27000 5 4 16.49 81500.00 17.39
## 232 0 16000 3 2 13.05 59500.00 14.28
## 233 0 20000 3 2 9.80 95000.00 21.31
## 234 0 10000 3 3 17.10 60000.00 24.24
## 235 0 14000 3 3 12.69 80000.00 11.81
## 236 0 21575 5 7 23.91 54480.00 18.50
## 237 0 6000 3 1 6.97 66300.00 24.04
## 238 1 14000 3 2 9.17 90000.00 10.81
## 239 0 5000 3 1 7.39 51044.00 12.21
## 240 0 18825 3 4 18.25 42000.00 20.29
## 241 0 30775 5 5 23.88 81500.00 31.28
## 242 0 12000 3 2 13.11 55000.00 13.35
## 243 0 1200 3 2 11.22 58000.00 10.08
## 244 0 19000 3 2 10.47 100000.00 30.40
## 245 0 5000 3 3 13.99 52000.00 27.72
## 246 1 18400 5 4 15.41 40000.00 15.18
## 247 0 2000 3 2 11.58 28500.00 16.17
## 248 1 13200 5 3 14.99 37000.00 31.66
## 249 0 12700 3 2 10.42 67000.00 24.72
## 250 0 12000 3 2 12.49 35000.00 19.48
## 251 0 26000 3 2 10.99 84000.00 12.73
## 252 1 12000 5 4 15.61 47460.00 21.57
## 253 0 25000 5 4 18.94 168000.00 5.98
## 254 0 12000 3 3 14.33 106600.00 7.73
## 255 0 32400 3 1 7.97 78000.00 23.23
## 256 0 2650 3 1 7.97 10000.00 9.96
## 257 0 10000 3 2 10.16 55000.00 20.74
## 258 0 3000 3 4 18.25 72000.00 27.86
## 259 0 35000 3 2 10.42 45000.00 69.94
## 260 0 2500 3 3 12.99 39970.00 33.54
## 261 0 18075 3 4 17.77 41514.00 29.31
## 262 0 12000 5 5 20.49 60000.00 3.44
## 263 0 16475 5 5 22.15 62000.00 20.44
## 264 0 25000 3 1 6.68 134895.00 6.08
## 265 0 21000 3 2 11.47 56000.00 38.60
## 266 1 4000 3 3 12.79 36000.00 22.59
## 267 0 10000 3 3 11.99 70000.00 13.48
## 268 0 5125 3 4 16.59 30000.00 20.52
## 269 0 12000 3 2 11.67 32000.00 11.03
## 270 0 10000 3 2 9.75 40500.00 13.57
## 271 1 5000 3 1 7.89 18200.00 7.32
## 272 0 10000 5 2 10.99 48000.00 22.54
## 273 1 10000 3 4 17.99 60000.00 15.48
## 274 0 10000 3 5 22.74 30000.00 28.20
## 275 0 8000 3 2 11.49 40000.00 16.32
## 276 0 2000 3 4 16.55 15000.00 8.56
## 277 0 30000 5 4 19.53 140000.00 15.41
## 278 0 18000 3 1 7.07 43000.00 26.07
## 279 0 20000 3 1 6.03 82500.00 13.38
## 280 0 12000 3 2 11.67 86030.00 11.73
## 281 0 25000 3 3 13.59 320000.00 33.10
## 282 0 5000 3 4 15.61 45000.00 7.01
## 283 0 5650 3 2 13.53 34000.00 18.78
## 284 0 3000 3 2 10.99 100000.00 17.81
## 285 0 20000 3 1 7.97 72000.00 32.00
## 286 0 16000 5 3 13.67 46000.00 10.20
## 287 0 3200 3 3 14.35 43200.00 22.39
## 288 0 12325 3 4 18.99 35000.00 23.94
## 289 0 30000 5 2 11.67 70000.00 10.53
## 290 1 24000 5 3 11.99 85000.00 14.95
## 291 0 15000 3 2 10.42 62000.00 17.69
## 292 1 15000 5 5 19.99 50000.00 26.91
## 293 0 4000 3 3 14.99 30000.00 4.28
## 294 0 24000 3 1 5.32 180000.00 23.12
## 295 0 18000 3 2 11.48 68000.00 19.24
## 296 0 11000 3 2 11.49 54814.00 27.80
## 297 0 21475 3 4 18.99 65000.00 33.17
## 298 0 4500 3 2 11.67 81996.00 3.10
## 299 1 12000 3 3 17.27 55000.00 14.97
## 300 0 24000 5 2 12.35 83000.00 23.43
## 301 0 7500 3 2 12.49 35000.00 32.10
## 302 0 12400 5 7 30.79 47000.00 28.88
## 303 0 20400 3 1 6.99 152000.00 10.11
## 304 0 10000 3 2 10.99 95000.00 9.71
## 305 0 30000 3 2 9.58 230000.00 9.89
## 306 0 5000 3 4 16.99 36416.00 29.99
## 307 0 35000 5 3 12.69 175000.00 12.08
## 308 0 4000 3 2 9.99 34000.00 16.66
## 309 0 27600 5 4 16.99 60000.00 30.66
## 310 0 12000 3 2 11.47 66000.00 23.38
## 311 0 10000 3 1 5.93 130000.00 6.17
## 312 0 8000 3 3 12.59 79875.00 7.59
## 313 0 12000 5 4 19.99 76000.00 23.78
## 314 1 21000 5 4 16.89 89916.00 20.47
## 315 0 14000 3 2 11.99 160000.00 15.19
## 316 0 19200 5 3 14.99 108000.00 17.60
## 317 0 15100 5 5 20.99 80000.00 10.11
## 318 0 12025 3 5 18.25 35539.00 29.04
## 319 0 16500 3 3 14.47 90000.00 14.20
## 320 0 12000 5 3 12.29 52000.00 35.08
## 321 0 11425 3 2 8.18 60000.00 24.14
## 322 0 12000 3 1 5.32 150000.00 18.46
## 323 0 30000 5 3 13.99 140000.00 19.33
## 324 0 5000 3 3 14.99 25000.00 12.63
## 325 1 13800 5 3 13.35 60000.00 12.22
## 326 1 4750 3 4 16.99 85000.00 2.46
## 327 1 32000 5 5 24.74 80000.00 23.07
## 328 0 25000 3 4 16.29 85000.00 11.46
## 329 1 12800 3 3 12.99 37000.00 24.94
## 330 0 17000 3 3 12.99 42000.00 36.80
## 331 0 5000 3 4 17.77 29000.00 21.77
## 332 0 7675 3 2 11.99 41000.00 15.52
## 333 1 10000 5 6 25.57 30000.00 24.88
## 334 0 3500 3 2 11.39 24000.00 22.85
## 335 0 14000 3 4 19.03 87500.00 19.76
## 336 0 25000 3 1 6.39 65000.00 24.34
## 337 1 25000 5 5 18.99 107120.00 21.82
## 338 0 5500 3 3 12.99 45000.00 11.73
## 339 1 12000 3 4 16.29 48000.00 22.67
## 340 1 5000 3 4 18.06 45500.00 27.30
## 341 0 3500 3 1 7.59 40000.00 14.04
## 342 0 7000 3 2 13.11 95000.00 3.71
## 343 1 21600 5 3 12.29 87000.00 31.86
## 344 1 7125 3 3 14.99 42000.00 30.66
## 345 0 15000 3 3 16.29 84000.00 12.88
## 346 1 6000 3 2 11.67 30000.00 15.72
## 347 0 2000 3 2 10.16 30000.00 19.32
## 348 0 10000 5 5 20.75 68000.00 8.52
## 349 1 30000 5 4 18.25 80000.00 18.59
## 350 0 12000 3 3 15.80 86000.00 19.20
## 351 0 11000 3 2 13.11 50000.00 8.93
## 352 0 10500 3 1 6.62 67000.00 25.42
## 353 0 11200 3 3 16.78 165000.00 10.84
## 354 0 13000 3 1 7.90 55000.00 12.66
## 355 0 8000 3 4 19.97 99800.00 27.19
## 356 0 24000 5 4 20.00 45000.00 29.28
## 357 0 5000 3 2 10.75 180000.00 22.23
## 358 0 9000 3 1 6.24 80000.00 12.35
## 359 0 12000 3 3 12.99 49875.00 17.76
## 360 0 5000 3 2 13.11 65000.00 8.14
## 361 0 15950 5 6 24.50 40000.00 23.04
## 362 0 16750 3 2 10.62 48000.00 0.20
## 363 0 10000 3 2 12.12 30000.00 11.53
## 364 0 20000 3 2 11.44 90000.00 39.84
## 365 0 35000 3 1 7.89 95000.00 12.80
## 366 0 25000 5 3 17.10 65000.00 19.24
## 367 0 14000 3 3 12.62 100000.00 16.01
## 368 0 5000 3 2 10.99 24000.00 7.38
## 369 0 35000 5 5 26.30 116000.00 22.61
## 370 1 17250 3 3 13.67 70000.00 8.54
## 371 0 30000 3 1 7.24 90000.00 12.81
## 372 0 10000 3 2 12.12 60000.00 12.72
## 373 0 18000 3 1 6.03 115000.00 4.04
## 374 1 15000 5 3 13.33 43000.00 24.06
## 375 1 8375 3 4 15.41 23316.00 10.05
## 376 0 25000 5 5 20.49 63892.00 32.77
## 377 1 10400 5 4 19.53 90000.00 20.36
## 378 0 3000 3 4 16.99 49750.00 14.38
## 379 1 24000 5 5 22.45 70000.00 22.44
## 380 0 12000 3 1 5.32 70000.00 16.56
## 381 1 30000 3 2 9.17 132000.00 24.93
## 382 1 10800 5 4 17.09 32940.00 19.74
## 383 1 10000 3 1 6.97 61243.00 30.88
## 384 1 35000 3 1 7.26 160000.00 17.39
## 385 0 2000 3 3 12.99 25000.00 12.39
## 386 0 8500 3 3 13.35 48500.00 31.65
## 387 0 3000 3 2 9.75 125000.00 8.12
## 388 0 10000 3 4 18.75 72000.00 18.03
## 389 0 15400 5 3 14.33 52000.00 10.96
## 390 0 24000 5 2 11.53 119000.00 30.16
## 391 0 24000 5 4 18.06 80000.00 32.07
## 392 1 4000 3 3 14.46 36000.00 26.39
## 393 0 31825 5 5 22.47 71000.00 25.39
## 394 1 4750 3 3 15.31 14000.00 32.50
## 395 0 20450 5 5 19.24 77746.00 21.06
## 396 0 20000 3 2 12.35 61000.00 23.43
## 397 0 1800 3 4 16.99 45000.00 5.55
## 398 0 8000 3 3 15.88 54000.00 21.01
## 399 0 25000 5 3 14.99 150000.00 4.22
## 400 0 22000 3 1 6.49 105000.00 32.10
## 401 0 8500 3 3 11.99 35000.00 37.65
## 402 1 12950 3 5 24.99 36000.00 27.20
## 403 0 25000 3 3 12.99 195000.00 2.92
## 404 0 10000 3 4 17.14 45000.00 21.39
## 405 0 10000 3 3 12.69 32000.00 14.22
## 406 0 1200 3 2 9.44 45855.00 16.96
## 407 0 40000 3 2 11.39 234000.00 21.73
## 408 1 20000 5 2 10.49 80000.00 19.85
## 409 0 5000 3 2 10.99 20000.00 6.06
## 410 0 7025 3 5 20.99 22000.00 26.79
## 411 1 15000 3 3 12.59 59900.00 13.20
## 412 0 31675 5 6 30.49 72000.00 17.53
## 413 0 6000 3 2 12.99 86464.00 14.69
## 414 1 15000 3 3 13.33 52000.00 27.80
## 415 0 13575 5 3 16.24 40524.00 29.46
## 416 0 4800 3 4 16.99 45481.00 35.20
## 417 0 22000 3 2 9.16 65000.00 34.29
## 418 0 10000 3 1 6.03 45000.00 19.63
## 419 0 2000 3 2 8.18 51000.00 24.99
## 420 0 16000 3 2 11.67 160000.00 10.92
## 421 0 14025 5 4 16.99 39176.00 34.59
## 422 1 20000 3 5 24.85 66500.00 28.26
## 423 1 10650 5 4 15.61 40000.00 9.36
## 424 0 11200 3 4 17.27 60000.00 11.60
## 425 1 21000 5 2 12.49 80000.00 32.62
## 426 0 16700 5 4 20.89 70000.00 19.29
## 427 0 10075 3 2 13.11 60000.00 24.08
## 428 0 15000 3 2 11.99 48623.00 28.76
## 429 1 15000 5 4 17.57 38400.00 21.75
## 430 0 6800 3 2 9.93 92400.00 5.35
## 431 0 27000 3 3 14.64 117000.00 22.04
## 432 0 1600 3 4 18.06 23000.00 18.48
## 433 0 20000 3 3 14.33 63000.00 14.48
## 434 1 23100 5 6 23.99 55000.00 14.82
## 435 0 14000 3 3 16.02 198000.00 18.72
## 436 0 4200 3 2 11.48 80000.00 10.50
## 437 0 10000 3 3 12.69 89000.00 10.21
## 438 0 5000 3 4 18.75 41000.00 19.20
## 439 0 10500 3 3 12.39 58000.00 17.29
## 440 0 10000 3 2 11.99 122000.00 12.33
## 441 0 5000 3 2 8.49 45000.00 17.97
## 442 0 25000 3 4 19.22 80000.00 8.57
## 443 0 21200 3 3 14.33 270000.00 19.58
## 444 0 9600 3 1 5.32 74500.00 9.44
## 445 0 16000 5 3 13.33 85000.00 26.22
## 446 0 4500 3 3 14.49 61000.00 14.76
## 447 0 16700 3 3 14.46 43000.00 7.79
## 448 0 28000 3 2 13.11 92000.00 20.51
## 449 0 8500 3 4 17.09 47000.00 29.14
## 450 0 8000 3 2 9.75 31000.00 14.05
## 451 0 11500 3 3 12.05 58000.00 25.88
## 452 1 22000 5 3 14.49 92440.00 15.09
## 453 1 19200 3 1 5.32 189000.00 3.64
## 454 0 4000 3 2 9.17 48412.00 24.19
## 455 0 25000 5 2 11.53 90000.00 19.09
## 456 0 13000 5 6 28.69 56000.00 4.29
## 457 0 15000 3 2 10.64 60000.00 27.86
## 458 0 1000 3 4 14.59 31200.00 6.15
## 459 1 30000 3 3 12.29 135000.00 8.24
## 460 0 5950 3 4 17.86 41000.00 25.64
## 461 0 14000 3 3 12.69 85000.00 6.00
## 462 0 21600 3 1 7.39 60000.00 21.77
## 463 0 1000 3 3 11.99 70000.00 18.30
## 464 0 6000 3 2 10.99 27000.00 25.96
## 465 0 10000 3 2 8.24 87431.00 19.63
## 466 0 15000 3 2 9.17 40000.00 7.02
## 467 0 9800 3 2 10.49 20000.00 24.85
## 468 0 8000 3 4 16.55 43000.00 26.63
## 469 0 4200 3 1 7.21 28000.00 12.39
## 470 0 21000 5 4 15.99 133400.00 9.75
## 471 0 15000 3 3 14.99 38000.00 21.64
## 472 1 34000 5 6 25.99 81000.00 35.29
## 473 0 35000 5 4 19.47 160000.00 8.78
## 474 0 10000 3 3 12.69 45000.00 17.49
## 475 0 1000 3 4 20.00 55000.00 27.51
## 476 0 10000 5 3 13.49 57550.00 21.98
## 477 0 13000 3 1 6.03 130000.00 1.92
## 478 0 21000 5 3 12.99 45000.00 19.20
## 479 0 35000 5 6 24.08 90000.00 22.56
## 480 0 12000 3 2 8.24 60000.00 16.18
## 481 0 4000 3 4 16.49 45000.00 36.03
## 482 0 8000 3 1 6.68 45000.00 9.57
## 483 0 30000 3 2 10.75 280000.00 11.96
## 484 0 4100 3 4 15.61 22000.00 24.50
## 485 1 16000 5 3 13.99 127000.00 21.22
## 486 0 9600 3 1 7.89 130000.00 24.55
## 487 0 22700 5 5 18.25 80000.00 17.48
## 488 1 12950 5 6 22.99 36000.00 14.12
## 489 0 8000 3 2 12.98 40000.00 14.40
## 490 0 11000 5 2 13.67 55134.00 18.05
## 491 0 12000 3 3 13.99 101000.00 17.21
## 492 0 35000 3 2 9.99 400000.00 7.11
## 493 0 3000 3 1 6.62 39520.00 15.21
## 494 1 4100 3 6 22.99 18000.00 29.67
## 495 0 20800 3 1 7.26 60000.00 5.28
## 496 0 16800 5 4 18.06 43000.00 20.21
## 497 1 30000 5 5 21.98 150000.00 6.10
## 498 0 8000 3 1 7.90 65000.00 7.46
## 499 1 9600 3 2 10.99 64873.00 15.02
## 500 0 18000 5 3 15.99 85500.00 7.82
## 501 0 12000 5 3 13.99 42000.00 20.71
## 502 0 10000 3 1 6.89 80000.00 13.46
## 503 0 6500 3 2 9.75 120000.00 19.90
## 504 0 30000 5 5 23.88 140000.00 18.60
## 505 0 18000 3 1 7.90 78000.00 10.37
## 506 0 29175 3 2 13.11 65000.00 13.50
## 507 0 32000 3 2 10.75 103000.00 7.44
## 508 0 15000 5 2 12.99 114000.00 23.74
## 509 0 4000 3 3 12.61 43000.00 12.64
## 510 0 25000 5 3 13.67 100000.00 20.24
## 511 0 8000 3 4 19.99 52000.00 16.69
## 512 1 15000 3 1 7.99 52000.00 18.65
## 513 0 14000 5 4 17.27 28000.00 6.34
## 514 0 20000 3 1 6.89 90000.00 18.01
## 515 0 1400 3 3 13.49 60000.00 24.98
## 516 0 20000 3 1 7.26 80000.00 17.99
## 517 0 3000 3 1 7.46 111000.00 18.52
## 518 0 24250 5 3 15.88 128285.00 19.95
## 519 0 5600 3 1 6.39 74000.00 12.78
## 520 0 5000 3 2 11.67 30000.00 19.72
## 521 0 32000 5 2 11.53 104000.00 26.36
## 522 0 8000 3 3 14.49 42000.00 15.20
## 523 1 30000 5 5 19.99 100000.00 20.65
## 524 0 18000 3 2 10.78 68000.00 16.24
## 525 0 18000 5 4 16.29 85000.00 26.79
## 526 1 32000 5 3 12.59 79600.00 9.14
## 527 0 7000 3 2 9.75 28800.00 17.96
## 528 0 6000 3 1 5.31 67000.00 8.80
## 529 0 15000 3 2 9.67 52000.00 18.51
## 530 1 35000 5 6 23.99 120000.00 29.35
## 531 0 35000 5 6 23.43 180000.00 23.80
## 532 0 4800 3 4 17.27 23000.00 4.85
## 533 0 19200 5 2 10.99 70000.00 12.39
## 534 0 18000 3 3 14.99 30000.00 34.28
## 535 0 8000 3 1 6.49 108000.00 1.93
## 536 0 10000 3 3 12.99 46878.00 36.20
## 537 1 15000 5 3 12.99 80000.00 12.15
## 538 0 16000 3 3 12.99 48000.00 11.63
## 539 0 4800 3 3 15.22 48000.00 32.07
## 540 0 4000 3 2 9.99 95000.00 20.70
## 541 1 12000 5 2 11.22 55000.00 27.06
## 542 0 24000 3 1 7.35 215000.00 3.62
## 543 1 8000 3 2 11.22 32000.00 23.78
## 544 0 6000 3 1 6.49 40000.00 16.53
## 545 1 24800 5 3 13.67 89700.00 28.01
## 546 1 8000 3 2 10.91 80000.00 18.47
## 547 0 8000 3 4 16.29 42000.00 22.54
## 548 1 18000 3 4 19.99 78000.00 27.14
## 549 1 25000 5 3 14.08 63000.00 18.02
## 550 0 7000 3 3 13.49 38000.00 12.88
## 551 0 35000 3 3 14.08 124000.00 23.12
## 552 1 20000 5 4 16.99 90000.00 14.84
## 553 1 11500 3 2 12.12 35000.00 18.54
## 554 1 20000 3 4 17.47 75000.00 17.30
## 555 0 19375 3 2 13.67 100000.00 13.27
## 556 1 10000 5 5 24.74 27000.00 26.67
## 557 1 10000 5 6 25.44 53000.00 29.37
## 558 0 12000 5 5 24.84 50000.00 29.52
## 559 0 11000 3 4 17.27 64000.00 19.03
## 560 0 7700 3 2 10.99 40000.00 6.27
## 561 0 12000 3 1 8.19 50000.00 9.36
## 562 0 10000 5 1 7.89 72000.00 22.43
## 563 0 13000 3 2 11.47 34000.00 18.39
## 564 0 2500 3 3 17.10 85000.00 12.06
## 565 0 15000 5 3 12.62 90000.00 25.85
## 566 0 5600 3 2 9.99 38000.00 24.04
## 567 0 10800 5 4 16.29 33000.00 24.44
## 568 0 7800 3 2 9.17 47000.00 24.74
## 569 0 15000 5 4 15.61 65000.00 33.56
## 570 0 5000 3 3 13.72 30000.00 7.24
## 571 1 20000 5 3 14.08 98000.00 28.56
## 572 1 3500 3 3 11.99 22500.00 13.41
## 573 1 9750 3 5 21.48 65000.00 25.30
## 574 0 8000 3 1 7.89 75000.00 12.13
## 575 0 28200 5 4 17.77 64000.00 10.14
## 576 0 10325 3 3 14.65 41000.00 25.35
## 577 0 5000 3 1 7.49 80000.00 24.32
## 578 0 1000 3 2 10.78 85000.00 10.02
## 579 0 26000 3 4 18.45 38000.00 86.72
## 580 1 15000 5 3 12.74 125000.00 21.55
## 581 1 35000 5 5 21.18 115200.00 33.53
## 582 0 16000 5 3 15.99 105000.00 17.75
## 583 0 15000 3 2 8.39 92000.00 23.55
## 584 0 15000 3 2 11.14 100000.00 28.79
## 585 0 9600 3 2 11.53 85000.00 27.05
## 586 0 18725 3 2 9.67 67000.00 15.97
## 587 0 40000 3 2 10.90 52000.00 24.65
## 588 0 3300 3 5 19.48 69000.00 4.50
## 589 0 6000 3 5 21.00 390000.00 25.06
## 590 0 27000 3 1 6.49 170000.00 10.52
## 591 0 5500 3 1 8.19 160000.00 19.58
## 592 0 15000 3 1 7.89 144000.00 9.65
## 593 0 16800 3 2 10.99 65000.00 20.84
## 594 0 27675 3 1 7.49 250000.00 14.82
## 595 0 10000 5 4 15.61 23000.00 30.90
## 596 0 15000 3 2 8.24 55000.00 7.27
## 597 0 25000 3 5 22.15 105000.00 19.48
## 598 0 20400 3 1 7.62 105000.00 11.56
## 599 1 24375 5 4 18.99 53000.00 27.11
## 600 0 20000 3 2 9.75 60000.00 18.62
## 601 0 24000 5 1 8.90 78000.00 4.25
## 602 0 20000 3 4 17.57 65000.00 13.19
## 603 0 20000 3 2 8.18 90000.00 4.19
## 604 0 16000 3 1 7.69 62200.00 7.13
## 605 0 4200 3 1 7.35 82500.00 18.88
## 606 0 24650 3 4 16.55 61750.00 27.50
## 607 0 17000 3 1 7.89 116000.00 17.11
## 608 0 35000 3 1 7.69 83000.00 12.46
## 609 0 8325 3 2 12.12 25000.00 2.06
## 610 0 25000 5 5 20.49 70000.00 20.16
## 611 0 2000 3 4 15.99 40000.00 27.12
## 612 0 35000 5 5 20.50 90000.00 3.19
## 613 0 6000 3 3 16.02 21000.00 32.86
## 614 1 11000 5 5 18.25 30000.00 17.84
## 615 0 8875 3 2 10.99 27000.00 25.51
## 616 0 35000 3 1 7.49 150000.00 7.08
## 617 1 19375 3 4 16.29 54000.00 29.40
## 618 0 24000 3 1 7.59 61000.00 10.17
## 619 0 8400 3 2 11.49 73000.00 8.78
## 620 0 5000 3 3 12.62 63633.00 15.80
## 621 0 7000 3 2 10.75 48000.00 39.25
## 622 0 20000 3 1 7.89 200000.00 28.08
## 623 0 6000 3 3 11.99 130000.00 6.72
## 624 0 7500 3 4 17.14 37000.00 30.52
## 625 0 20000 3 3 12.29 165000.00 18.66
## 626 1 24000 3 4 18.99 83200.00 38.64
## 627 0 22000 5 3 12.99 76197.42 15.01
## 628 0 8000 3 2 11.39 50000.00 9.05
## 629 0 28000 3 1 6.49 152000.00 6.06
## 630 0 10000 3 1 6.07 70000.00 18.76
## 631 0 4500 3 3 14.64 26800.00 6.99
## 632 0 28000 3 1 7.62 90000.00 19.69
## 633 0 10000 5 4 20.00 30000.00 9.92
## 634 0 8250 3 4 16.99 23500.00 17.88
## 635 0 12000 3 2 8.24 50000.00 29.72
## 636 0 3825 3 3 13.99 75000.00 33.66
## 637 0 30000 5 3 15.99 110000.00 7.78
## 638 0 11350 3 3 13.33 45000.00 30.24
## 639 0 3000 3 3 12.99 24000.00 14.70
## 640 1 10000 3 1 7.69 45000.00 17.87
## 641 1 24000 5 6 28.69 96000.00 19.51
## 642 1 5000 3 2 10.16 40000.00 15.96
## 643 0 14700 3 4 16.55 35000.00 32.06
## 644 0 21425 5 4 16.99 120000.00 17.86
## 645 1 17400 3 4 16.55 54450.00 38.86
## 646 0 9700 3 2 10.99 56311.00 22.95
## 647 0 10450 3 4 15.61 57982.00 26.68
## 648 0 13225 3 1 6.62 95364.00 8.62
## 649 0 35000 3 4 17.77 280000.00 9.66
## 650 0 35000 5 4 16.99 165000.00 27.88
## 651 0 8000 3 1 6.99 62000.00 19.40
## 652 0 18000 3 2 10.42 74000.00 23.84
## 653 1 11325 3 6 24.50 36000.00 28.70
## 654 0 10500 3 1 6.89 56000.00 10.48
## 655 0 16000 5 2 11.39 79705.00 13.44
## 656 0 28000 3 2 11.53 110000.00 23.21
## 657 0 10000 3 2 9.67 90000.00 11.21
## 658 1 4000 3 4 19.03 65000.00 7.45
## 659 0 35000 3 4 17.57 105000.00 20.63
## 660 0 6200 3 1 5.32 36800.00 21.43
## 661 0 10400 3 1 5.32 65000.00 9.64
## 662 0 12000 3 2 9.99 55000.00 22.05
## 663 0 6000 3 2 9.75 34000.00 13.27
## 664 1 9275 3 3 14.65 42000.00 19.34
## 665 0 8000 3 2 9.93 110000.00 9.43
## 666 0 11000 3 2 11.44 90000.00 7.72
## 667 0 15000 3 2 8.18 60000.00 27.92
## 668 0 8400 3 4 15.61 85000.00 15.59
## 669 0 20000 3 4 19.03 300000.00 17.29
## 670 0 10000 3 2 11.55 32000.00 18.30
## 671 0 25000 3 1 8.19 100500.00 10.52
## 672 0 8000 3 1 7.89 125000.00 13.35
## 673 1 13000 5 5 22.39 68000.00 17.44
## 674 0 9350 3 5 20.99 55000.00 18.15
## 675 0 5375 3 3 13.99 11700.00 21.44
## 676 0 15000 3 2 9.17 88000.00 3.60
## 677 0 20000 3 3 13.67 155000.00 27.54
## 678 0 3000 3 4 20.20 100000.00 7.81
## 679 0 5500 3 1 6.07 97000.00 34.73
## 680 1 15250 5 5 19.42 52500.00 23.82
## 681 0 1800 3 4 17.86 30000.00 35.40
## 682 0 15000 5 3 12.99 60000.00 30.18
## 683 0 17000 3 2 10.49 72000.00 18.40
## 684 0 15000 3 3 13.49 40000.00 17.10
## 685 0 15000 3 1 5.32 80000.00 6.42
## 686 1 18000 5 5 19.99 41000.00 26.89
## 687 1 16800 3 4 16.99 42000.00 23.86
## 688 0 12000 3 4 16.29 54000.00 4.38
## 689 0 21000 3 2 9.49 80000.00 6.23
## 690 0 12475 3 2 9.93 67719.42 12.67
## 691 0 10000 3 1 7.35 85000.00 14.32
## 692 0 8500 3 1 6.24 50000.00 21.29
## 693 0 12000 3 2 10.49 44000.00 33.06
## 694 0 8000 3 3 13.66 127000.00 19.13
## 695 0 16000 3 2 10.49 103152.00 30.27
## 696 1 12700 5 3 12.99 70674.00 8.49
## 697 1 20000 3 3 11.99 61000.00 31.16
## 698 0 15000 3 1 7.62 57500.00 13.30
## 699 0 10000 5 2 10.99 45000.00 8.29
## 700 0 15000 3 2 12.99 72000.00 21.13
## 701 0 8000 3 1 5.32 102000.00 12.42
## 702 0 8000 3 3 12.99 66000.00 22.78
## 703 1 6400 3 5 23.99 58600.00 9.43
## 704 0 5000 3 1 6.49 24000.00 25.15
## 705 0 12000 3 3 14.65 49000.00 25.94
## 706 0 14000 5 5 19.19 140000.00 6.98
## 707 1 18000 5 6 23.13 47000.00 19.59
## 708 0 16850 5 3 15.61 63562.12 14.69
## 709 0 12000 3 2 10.75 70000.00 10.15
## 710 1 3025 3 2 9.75 45000.00 13.20
## 711 0 8000 3 2 10.99 55000.00 13.00
## 712 0 4800 3 1 6.89 75000.00 17.30
## 713 1 11200 5 5 19.99 115000.00 14.95
## 714 1 6025 3 3 15.99 70000.00 20.25
## 715 0 12000 3 1 6.24 60000.00 13.24
## 716 0 18725 3 1 7.89 65000.00 26.12
## 717 0 25000 5 4 19.03 100000.00 15.28
## 718 0 20000 5 4 16.55 59000.00 3.25
## 719 0 14400 3 3 14.33 40000.00 6.99
## 720 0 5000 3 2 9.99 50000.00 3.53
## 721 0 20000 3 3 13.59 39995.00 9.36
## 722 0 25000 3 4 17.76 135000.00 13.10
## 723 0 19750 3 4 15.61 55000.00 36.24
## 724 0 6400 3 2 9.75 40000.00 14.79
## 725 0 12500 3 2 10.99 110000.00 7.67
## 726 0 3650 3 2 10.64 12300.00 23.02
## 727 1 10000 3 3 14.65 50000.00 23.52
## 728 1 14000 3 3 13.49 135000.00 17.62
## 729 0 12050 3 3 13.99 42000.00 29.37
## 730 0 9350 3 4 19.52 45000.00 28.51
## 731 0 4800 3 4 16.49 31000.00 39.26
## 732 1 35000 5 5 26.30 128197.00 24.06
## 733 1 16000 3 6 24.99 50000.00 11.83
## 734 0 14375 3 4 15.99 79000.00 13.19
## 735 1 10000 3 2 12.69 40000.00 16.53
## 736 0 10000 3 5 18.55 25000.00 28.37
## 737 0 10625 3 1 7.62 32000.00 29.29
## 738 0 14000 5 2 11.53 38000.00 14.43
## 739 1 17350 3 4 15.59 41000.00 29.83
## 740 0 20000 3 3 12.74 66000.00 22.36
## 741 0 35000 5 4 17.57 230000.00 9.31
## 742 0 20000 5 3 13.99 110000.00 16.65
## 743 0 35000 3 4 16.99 110000.00 21.94
## 744 0 7675 3 1 7.07 35000.00 11.66
## 745 0 13425 5 4 17.57 52000.00 30.80
## 746 1 20000 5 6 23.83 56000.00 20.44
## 747 1 6500 3 2 9.17 41120.00 16.81
## 748 0 20000 3 1 7.90 80000.00 12.09
## 749 0 12000 3 2 11.98 50000.00 30.96
## 750 0 20050 5 5 21.15 60570.00 25.18
## 751 0 20000 5 5 21.98 132000.00 26.21
## 752 0 5750 5 2 12.12 58000.00 7.63
## 753 1 8000 3 3 12.99 48615.00 28.19
## 754 1 31050 5 6 24.08 70000.00 20.42
## 755 0 10000 3 4 17.99 32000.00 22.02
## 756 0 12250 5 3 14.46 45323.00 15.55
## 757 0 6000 3 5 18.55 25000.00 5.47
## 758 0 9700 3 3 13.99 43758.00 23.67
## 759 0 16000 3 3 14.65 400000.00 10.19
## 760 1 5000 3 3 12.69 47216.00 17.11
## 761 0 10000 3 2 11.99 85000.00 8.57
## 762 0 4800 3 3 13.99 38000.00 28.17
## 763 0 15000 3 2 9.43 55000.00 25.68
## 764 1 11725 3 3 14.99 55000.00 24.77
## 765 0 2500 3 2 10.49 21000.00 9.31
## 766 1 10000 3 4 18.25 48000.00 16.65
## 767 0 8000 3 1 7.89 35000.00 18.48
## 768 0 10000 3 2 9.16 82000.00 9.85
## 769 1 11650 5 4 18.24 38500.00 22.26
## 770 1 24375 5 4 17.57 53000.00 15.04
## 771 0 8000 3 3 12.05 130000.00 9.52
## 772 1 11000 3 2 11.53 46180.42 20.61
## 773 0 16000 5 3 13.59 102000.00 29.54
## 774 0 9200 3 4 17.77 100000.00 4.27
## 775 0 9000 3 4 16.49 30000.00 19.44
## 776 0 7000 3 2 13.11 50000.00 19.75
## 777 0 8500 3 2 11.53 62000.00 13.96
## 778 0 10000 3 2 12.12 66000.00 6.58
## 779 0 8400 3 2 11.39 50000.00 26.43
## 780 1 10000 3 4 16.49 64000.00 11.36
## 781 1 4500 3 4 15.61 29000.00 16.98
## 782 0 12000 5 1 7.35 80000.00 34.89
## 783 0 21000 3 1 6.62 90000.00 11.71
## 784 0 18000 5 4 19.72 84000.00 13.06
## 785 0 15000 3 3 16.02 52000.00 30.65
## 786 1 12000 3 1 6.03 53000.00 21.29
## 787 0 10000 3 2 11.99 71000.00 15.55
## 788 0 6000 3 1 5.32 78000.00 13.22
## 789 1 19500 5 5 22.47 63480.00 25.48
## 790 1 13725 3 4 17.57 31200.00 34.69
## 791 1 10000 3 4 18.25 105000.00 15.87
## 792 0 11875 3 3 13.99 27040.00 36.22
## 793 0 16000 3 4 17.57 68028.00 19.17
## 794 1 6475 3 3 12.69 25000.00 25.49
## 795 0 6000 3 2 11.67 70000.00 5.23
## 796 0 21500 3 1 7.62 74000.00 15.94
## 797 1 11550 3 4 17.99 33000.00 22.98
## 798 0 22000 5 3 13.35 94740.00 6.02
## 799 0 21075 3 4 16.55 47901.00 27.54
## 800 1 35000 3 4 16.59 609000.00 1.58
## 801 0 13000 3 1 6.24 95000.00 10.63
## 802 0 3700 3 2 10.90 30000.00 8.64
## 803 0 8000 3 1 6.99 140000.00 8.28
## 804 0 12000 3 2 11.44 40000.00 8.25
## 805 0 15000 3 3 14.49 45000.00 26.85
## 806 0 6000 3 2 11.53 88000.00 30.83
## 807 1 17125 3 3 13.99 60000.00 22.68
## 808 1 11375 5 5 26.24 56000.00 30.85
## 809 0 22400 3 1 6.97 157000.00 7.40
## 810 0 5825 3 4 15.61 13260.00 20.63
## 811 0 5000 3 3 13.59 100000.00 26.61
## 812 0 8000 3 3 14.16 67000.00 16.75
## 813 0 8000 3 2 8.24 70000.00 14.23
## 814 1 10000 3 3 12.39 40000.00 16.47
## 815 0 30000 3 3 15.59 115000.00 17.80
## 816 1 28000 3 4 16.29 80000.00 26.49
## 817 0 11500 3 3 12.69 45784.00 16.70
## 818 0 27575 5 4 19.72 77250.00 24.05
## 819 1 13000 3 2 11.39 95000.00 13.16
## 820 1 8375 3 5 24.74 35000.00 34.29
## 821 1 12000 3 4 16.99 56000.00 20.85
## 822 0 6000 3 3 13.44 85000.00 14.22
## 823 0 3000 3 3 12.69 52000.00 15.00
## 824 1 27425 5 5 19.24 62412.00 36.53
## 825 0 9400 3 4 21.45 26880.00 32.81
## 826 0 5000 3 4 20.20 35000.00 30.21
## 827 1 22800 5 5 20.20 57000.00 26.22
## 828 0 18225 3 4 16.55 40548.00 14.38
## 829 0 11900 3 3 13.44 65000.00 4.23
## 830 0 35000 5 2 9.76 120000.00 18.70
## 831 0 8000 3 3 13.33 47000.00 22.29
## 832 0 6000 3 5 21.18 35000.00 24.23
## 833 0 8000 3 2 8.38 60000.00 25.40
## 834 1 19300 3 1 7.90 60000.00 13.28
## 835 0 13000 3 1 5.93 55000.00 5.26
## 836 1 29000 5 5 20.75 65500.00 21.18
## 837 0 2375 3 4 18.92 33000.00 25.16
## 838 0 15000 5 4 17.97 24000.00 34.55
## 839 1 14125 3 4 17.27 48000.00 22.09
## 840 0 15000 3 2 10.91 98500.00 18.41
## 841 0 25000 5 5 18.25 90000.00 35.36
## 842 0 12600 3 5 18.55 65000.00 12.62
## 843 0 28000 3 1 6.39 230000.00 14.52
## 844 0 10000 3 2 13.05 82000.00 10.05
## 845 0 10000 3 1 7.24 73500.00 5.25
## 846 0 35000 3 2 11.22 100000.00 22.76
## 847 0 17275 3 1 6.97 45000.00 7.48
## 848 0 6800 3 3 14.65 44000.00 17.70
## 849 0 6000 3 1 6.92 61000.00 2.58
## 850 0 16000 5 3 14.99 48000.00 13.45
## 851 0 5000 3 1 7.89 35000.00 16.29
## 852 0 2500 3 2 11.67 75000.00 10.82
## 853 1 21000 5 3 13.67 40000.00 44.16
## 854 0 10500 3 2 9.17 159000.00 16.77
## 855 1 19200 5 3 13.59 160000.00 6.26
## 856 0 18000 3 1 7.49 85000.00 18.85
## 857 0 12800 3 3 14.99 60000.00 26.70
## 858 0 12000 5 2 9.17 140000.00 27.28
## 859 0 15750 3 5 23.99 45000.00 33.31
## 860 0 2000 3 3 13.33 33500.00 36.01
## 861 0 5000 3 5 22.15 47000.00 9.40
## 862 0 5000 3 3 12.69 65000.00 26.64
## 863 0 13300 5 6 30.75 30000.00 15.72
## 864 0 16000 3 2 9.17 73800.00 10.99
## 865 0 8000 3 3 12.68 62000.00 4.74
## 866 0 16000 5 3 14.33 64100.00 23.29
## 867 1 24000 5 3 15.99 185000.00 14.93
## 868 1 5000 3 3 12.29 27030.00 24.29
## 869 0 12000 3 1 6.68 142000.00 25.23
## 870 0 15000 3 3 13.98 91000.00 21.09
## 871 0 32000 3 4 17.99 288000.00 8.55
## 872 0 35000 5 4 17.57 200000.00 13.98
## 873 1 15000 3 3 13.33 64000.00 8.19
## 874 0 24000 3 1 7.89 200000.00 12.42
## 875 0 24000 5 2 12.35 95000.00 18.56
## 876 0 12000 3 1 7.88 47300.00 4.82
## 877 0 14000 5 2 9.93 72500.00 38.16
## 878 0 30000 3 1 6.71 63200.00 25.75
## 879 0 10000 3 2 10.99 110000.00 14.41
## 880 0 7000 3 2 9.17 35500.00 22.82
## 881 1 19950 3 3 15.31 84000.00 25.19
## 882 0 5000 3 2 10.49 55000.00 20.36
## 883 1 19075 3 4 17.99 68230.00 34.00
## 884 0 9600 3 2 10.99 70000.00 15.10
## 885 0 10800 3 2 9.75 82500.00 9.56
## 886 0 10000 3 1 6.89 42500.00 15.62
## 887 0 17500 3 2 10.15 75000.00 9.02
## 888 0 25000 5 5 18.99 75000.00 17.34
## 889 0 2500 3 3 12.69 115000.00 16.46
## 890 0 7000 3 2 12.49 52000.00 15.44
## 891 0 6600 3 3 12.62 70000.00 20.71
## 892 0 20000 3 1 7.49 82000.00 12.51
## 893 1 8725 3 2 13.11 18000.00 20.27
## 894 0 12000 3 2 9.99 63000.00 19.92
## 895 0 8000 3 2 11.71 55000.00 11.63
## 896 0 12000 3 2 10.15 52000.00 22.39
## 897 1 40000 5 3 15.04 95000.00 21.08
## 898 1 17000 3 2 10.99 63000.00 16.82
## 899 0 11000 3 1 7.69 120000.00 18.10
## 900 0 12000 3 2 9.67 43000.00 15.55
## 901 0 16200 5 2 10.49 56000.00 4.78
## 902 0 35000 5 5 19.99 275000.00 14.70
## 903 0 26500 5 2 13.11 53000.00 22.78
## 904 0 14400 3 3 13.99 50000.00 21.87
## 905 0 15000 3 3 14.49 48000.00 11.08
## 906 0 24000 5 3 12.79 100000.00 15.89
## 907 0 11625 3 2 12.99 34230.00 21.42
## 908 0 21000 5 3 13.99 95000.00 18.24
## 909 0 35000 3 1 7.21 175000.00 18.84
## 910 0 10000 3 2 11.53 43680.00 6.13
## 911 0 14400 5 6 29.49 48000.00 33.50
## 912 0 28000 5 3 12.62 118400.00 8.59
## 913 0 5000 3 1 6.62 120000.00 15.17
## 914 0 28000 5 3 15.59 80000.00 14.31
## 915 0 28000 3 2 8.18 95000.00 17.89
## 916 0 6400 3 5 25.49 85000.00 16.72
## 917 0 2800 3 3 12.79 47000.00 24.85
## 918 0 12800 5 5 21.18 74000.00 10.99
## 919 0 28000 5 4 17.86 105000.00 29.29
## 920 0 30000 3 1 7.39 71449.00 19.75
## 921 0 3000 3 2 9.17 65000.00 8.14
## 922 0 14000 3 3 13.98 93600.00 5.82
## 923 1 6000 3 2 11.48 35000.00 33.57
## 924 0 7800 3 4 15.61 23000.00 23.90
## 925 0 18000 5 3 14.49 80000.00 20.52
## 926 0 16000 3 1 7.90 52000.00 20.42
## 927 0 40000 5 3 14.08 136000.00 15.80
## 928 1 7000 3 3 14.08 25000.00 35.24
## 929 0 35000 3 2 10.15 150000.00 18.21
## 930 0 15000 5 3 12.99 91000.00 12.30
## 931 0 6000 3 3 14.08 90000.00 11.97
## 932 0 10000 5 4 17.14 35000.00 29.60
## 933 0 10000 5 4 19.03 45000.00 38.40
## 934 0 18000 3 3 13.66 45000.00 26.43
## 935 0 16000 5 2 10.99 60000.00 23.06
## 936 0 20000 3 2 8.67 91980.00 15.42
## 937 0 6500 3 3 12.29 108000.00 10.67
## 938 1 17000 5 4 18.25 120000.00 15.79
## 939 0 12000 5 4 19.99 80000.00 17.57
## 940 0 21000 5 3 16.02 16000.00 29.18
## 941 0 14000 5 3 12.99 100000.00 14.04
## 942 0 8000 3 5 19.52 40000.00 21.48
## 943 0 14900 3 4 16.49 41588.00 26.70
## 944 0 10000 3 3 14.31 45000.00 20.99
## 945 1 8000 3 2 14.09 48000.00 15.82
## 946 0 6000 3 1 6.68 80000.00 21.45
## 947 0 7200 3 2 9.16 57948.00 30.17
## 948 0 20000 3 2 9.17 80000.00 26.24
## 949 0 19275 3 3 14.46 90000.00 1.27
## 950 0 24000 5 2 9.17 82056.00 26.23
## 951 0 6000 3 2 11.99 26000.00 31.58
## 952 0 25000 5 2 10.99 124000.00 13.96
## 953 0 4800 3 1 7.24 60000.00 7.12
## 954 1 9575 3 6 24.08 32000.00 33.36
## 955 0 16000 5 3 16.20 75000.00 16.85
## 956 1 18000 3 4 15.61 45000.00 36.19
## 957 0 9600 3 2 10.15 65000.00 11.52
## 958 1 18475 5 4 15.41 105000.00 12.66
## 959 0 40000 5 4 16.99 112000.00 11.36
## 960 0 10000 3 4 18.75 49000.00 17.88
## 961 1 30000 5 5 18.25 75000.00 19.79
## 962 0 8000 3 2 10.78 52000.00 20.09
## 963 0 20000 3 2 11.47 95000.00 17.33
## 964 0 28000 3 1 5.32 145000.00 16.41
## 965 0 10400 3 2 10.64 90000.00 21.24
## 966 0 14000 5 4 16.59 125000.00 3.00
## 967 0 12550 3 4 17.27 84000.00 9.42
## 968 1 17475 5 5 21.60 39146.00 25.23
## 969 1 11300 5 6 22.99 88500.00 26.37
## 970 0 2800 3 3 14.49 36000.00 19.20
## 971 0 3000 3 4 16.99 50000.00 7.71
## 972 0 2000 3 2 13.53 95000.00 16.94
## 973 0 8400 3 4 15.41 30000.00 33.96
## 974 1 15000 3 2 9.80 45000.00 28.48
## 975 0 12000 3 2 9.99 54000.00 11.36
## 976 0 6000 3 1 7.89 98000.00 22.09
## 977 0 3500 3 1 5.32 35000.00 13.37
## 978 1 10000 5 4 16.29 42000.00 8.83
## 979 0 10000 3 2 12.35 60000.00 15.58
## 980 0 10200 3 2 9.75 113000.00 14.22
## 981 0 5000 3 2 9.99 35197.00 19.50
## 982 0 30000 3 1 7.26 154000.00 16.71
## 983 1 35000 3 5 25.29 89000.00 17.03
## 984 0 28000 3 2 9.67 220000.00 8.11
## 985 0 10875 3 1 7.49 51500.00 13.44
## 986 0 5200 3 2 8.39 55000.00 20.18
## 987 0 6000 3 3 12.74 55000.00 33.91
## 988 0 18400 3 4 17.57 92500.00 26.41
## 989 0 3500 3 2 9.17 44000.00 10.25
## 990 1 7200 3 4 18.49 147500.00 9.33
## 991 0 5000 3 2 10.42 28000.00 35.73
## 992 1 15000 3 3 12.74 42500.00 19.43
## 993 0 20000 5 3 14.47 95000.00 12.55
## 994 1 12000 5 4 16.99 30600.00 31.57
## 995 0 13000 5 1 7.39 80000.00 19.73
## 996 0 10000 3 2 9.17 26000.00 27.38
## 997 1 24925 5 5 23.10 81000.00 26.36
## 998 0 4000 3 1 6.97 34320.00 11.15
## 999 0 7450 3 1 6.97 67000.00 19.51
## 1000 0 8000 3 1 6.24 53000.00 18.25
## 1001 0 15000 3 5 21.97 60000.00 43.10
## 1002 1 9250 3 6 24.50 38000.00 17.59
## 1003 1 3025 3 4 21.45 24000.00 7.20
## 1004 0 10000 3 1 7.07 85000.00 12.26
## 1005 0 24000 5 4 17.27 106000.00 6.60
## 1006 0 5000 3 1 7.35 65000.00 2.62
## 1007 0 7500 3 2 12.99 26000.00 25.02
## 1008 1 10000 3 2 10.42 100000.00 16.00
## 1009 0 25000 5 4 16.29 71066.00 32.04
## 1010 0 7200 5 6 22.78 46350.00 21.07
## 1011 0 6000 3 3 14.49 63000.00 4.90
## 1012 1 22000 5 5 21.00 61000.00 18.30
## 1013 0 4000 3 3 13.35 35000.00 15.29
## 1014 0 16500 3 3 12.99 50000.00 30.58
## 1015 0 10800 3 1 5.32 73000.00 7.28
## 1016 0 15000 5 2 8.99 110000.00 11.27
## 1017 0 18000 5 3 11.99 42500.00 5.42
## 1018 0 5000 3 2 13.11 40000.00 25.14
## 1019 0 24000 3 3 12.99 200000.00 6.07
## 1020 1 10000 3 4 18.25 60000.00 27.78
## 1021 0 6000 3 2 11.53 40000.00 11.37
## 1022 1 15000 3 4 17.86 110000.00 15.33
## 1023 0 15000 3 3 13.33 57000.00 9.72
## 1024 1 24000 5 3 14.65 230000.00 17.24
## 1025 0 3000 3 3 12.61 96970.00 29.96
## 1026 0 12000 3 3 12.39 42000.00 30.20
## 1027 0 20000 3 3 12.79 155000.00 9.81
## 1028 0 5000 3 2 12.99 90000.00 34.28
## 1029 1 4350 3 3 12.99 78000.00 37.62
## 1030 0 16000 3 3 15.61 40000.00 16.32
## 1031 1 29000 5 4 18.94 85000.00 22.53
## 1032 0 3000 3 2 10.75 44600.00 25.16
## 1033 0 24000 5 6 24.50 112000.00 24.87
## 1034 0 20000 3 4 19.52 59238.40 25.22
## 1035 0 10000 3 2 10.49 53000.00 6.70
## 1036 0 8000 3 1 7.62 75000.00 17.75
## 1037 0 7800 3 3 12.62 29000.00 68.38
## 1038 0 14400 5 2 9.99 83500.00 12.66
## 1039 0 17000 3 2 11.47 60000.00 13.18
## 1040 0 22625 5 5 18.25 50000.00 23.69
## 1041 0 25000 5 2 13.11 100000.00 26.11
## 1042 0 3000 3 4 15.33 25000.00 0.72
## 1043 0 15000 3 2 12.85 45000.00 29.41
## 1044 1 19125 3 3 13.66 41600.00 9.13
## 1045 0 22500 3 1 7.90 80000.00 24.24
## 1046 0 15000 3 1 6.99 30000.00 12.96
## 1047 0 8500 3 4 21.49 25000.00 7.78
## 1048 0 3200 3 2 10.99 75000.00 12.91
## 1049 0 16000 5 3 16.02 53000.00 17.71
## 1050 0 8400 3 3 12.69 50000.00 14.55
## 1051 0 5500 3 3 13.33 27800.00 38.47
## 1052 0 15500 5 3 13.99 50000.00 13.27
## 1053 0 7000 3 3 14.99 40000.00 19.89
## 1054 1 8400 3 1 6.89 88600.00 2.60
## 1055 0 8600 3 4 15.59 40000.00 22.56
## 1056 1 18000 5 4 17.99 0.00 17.61
## 1057 0 28000 5 4 19.99 65000.00 25.31
## 1058 0 19200 3 1 6.49 110000.00 7.77
## 1059 0 10000 3 1 6.97 49000.00 13.27
## 1060 0 24000 5 3 14.46 55000.00 17.11
## 1061 0 20000 5 3 15.31 72500.00 11.75
## 1062 0 7825 3 3 14.49 46000.00 6.13
## 1063 0 24250 5 3 16.29 54000.00 24.08
## 1064 0 8000 3 2 11.39 50000.00 12.03
## 1065 0 18000 5 3 13.99 92000.00 17.45
## 1066 0 7800 5 4 17.99 114000.00 16.81
## 1067 0 12000 3 3 14.65 48000.00 28.83
## 1068 0 12500 3 3 13.33 44000.00 23.60
## 1069 0 16800 3 2 12.42 125000.00 17.34
## 1070 0 26200 3 3 14.33 70000.00 25.77
## 1071 0 14500 3 5 18.25 33000.00 28.66
## 1072 0 14000 5 4 19.53 44500.00 32.58
## 1073 0 18000 3 1 7.49 87000.00 20.23
## 1074 1 7500 3 2 10.16 100000.00 21.54
## 1075 0 2700 3 1 6.08 57000.00 1.43
## 1076 1 19500 5 4 15.61 85000.00 26.57
## 1077 0 4075 3 4 19.47 37689.00 21.15
## 1078 0 25000 3 2 12.49 70000.00 17.92
## 1079 0 8000 3 2 11.44 33000.00 32.80
## 1080 0 4600 3 4 16.29 160000.00 10.53
## 1081 0 3000 3 3 14.99 30000.00 22.59
## 1082 0 35000 3 5 19.52 275000.00 13.25
## 1083 1 6075 3 3 13.99 42000.00 20.66
## 1084 0 3600 3 1 7.49 55650.00 16.00
## 1085 1 8000 3 2 11.44 50000.00 16.23
## 1086 0 16000 3 2 11.39 55000.00 17.63
## 1087 0 15000 3 3 12.74 48000.00 23.85
## 1088 0 6400 3 5 20.49 35000.00 6.31
## 1089 0 18000 3 1 6.89 48500.00 23.19
## 1090 0 10000 5 2 9.80 50000.00 15.82
## 1091 1 20000 5 5 20.99 87000.00 29.75
## 1092 1 25000 5 5 20.49 60000.00 28.22
## 1093 0 4200 3 4 21.49 93472.00 4.00
## 1094 0 30000 5 3 12.74 140000.00 17.85
## 1095 0 35000 5 3 12.29 180000.00 12.79
## 1096 0 6000 3 3 14.65 40000.00 26.64
## 1097 0 16000 3 2 11.39 138000.00 20.03
## 1098 1 14400 5 5 22.35 55000.00 37.51
## 1099 0 22400 5 2 11.47 91000.00 19.54
## 1100 0 6000 3 2 9.93 125000.00 6.44
## 1101 0 5000 3 2 11.71 46500.00 18.63
## 1102 0 12325 3 4 17.57 34409.43 16.22
## 1103 1 7500 3 2 9.93 100000.00 9.95
## 1104 0 35000 5 6 23.50 100000.00 19.00
## 1105 0 9500 3 2 11.55 36000.00 6.63
## 1106 0 20675 3 1 6.62 91000.00 28.28
## 1107 0 8600 3 3 12.59 60231.00 14.62
## 1108 0 15000 5 3 16.29 207000.00 6.96
## 1109 0 14400 5 3 12.59 58000.00 23.64
## 1110 0 18000 5 1 8.19 75000.00 23.02
## 1111 0 21600 3 1 8.39 50000.00 19.64
## 1112 0 9800 3 3 13.59 62000.00 9.97
## 1113 1 12575 5 5 20.99 37000.00 23.80
## 1114 0 22000 5 5 25.82 38000.00 19.99
## 1115 1 6000 3 5 22.45 54000.00 24.64
## 1116 0 40000 5 3 12.74 110000.00 31.69
## 1117 1 8000 3 5 20.75 30000.00 20.48
## 1118 0 12000 3 2 11.14 84000.00 11.91
## 1119 1 16000 3 3 14.08 65000.00 13.66
## 1120 0 15000 3 4 16.55 55000.00 20.39
## 1121 0 5600 3 2 11.67 28600.00 7.01
## 1122 1 9600 3 2 9.99 33000.00 25.59
## 1123 0 18000 5 4 17.86 45000.00 29.07
## 1124 1 35000 3 3 13.99 152800.00 12.36
## 1125 0 12000 3 3 15.31 63000.00 32.21
## 1126 0 15000 3 4 17.77 46800.00 13.97
## 1127 0 16500 3 2 11.67 40000.00 11.46
## 1128 0 16075 5 4 17.57 55000.00 14.36
## 1129 0 10300 3 2 11.99 60000.00 21.72
## 1130 0 9000 3 2 11.53 150000.00 10.21
## 1131 0 15175 3 4 16.99 52000.00 29.56
## 1132 1 35000 5 6 25.88 120000.00 18.85
## 1133 0 31000 3 1 6.24 204000.00 9.72
## 1134 0 18000 3 1 5.32 105000.00 20.13
## 1135 0 12000 3 1 7.69 160000.00 22.19
## 1136 0 8250 3 3 15.10 25500.00 14.59
## 1137 0 9000 3 2 11.47 21852.00 20.10
## 1138 0 8400 3 2 8.18 85000.00 19.64
## 1139 0 12000 3 2 10.75 60000.00 15.50
## 1140 1 27000 5 3 13.65 97000.00 15.77
## 1141 0 5000 3 2 9.17 28000.00 5.32
## 1142 0 12000 3 2 8.18 53500.00 17.05
## 1143 0 2000 3 1 5.42 68500.00 5.19
## 1144 0 12075 3 4 17.27 28791.28 19.17
## 1145 1 17000 3 3 13.33 51000.00 24.05
## 1146 0 6500 3 2 10.47 105000.00 19.89
## 1147 0 21000 3 3 14.99 105000.00 19.30
## 1148 1 12000 3 3 12.29 60000.00 6.11
## 1149 0 14000 5 4 18.99 81000.00 22.65
## 1150 0 12000 3 1 6.49 94000.00 14.42
## 1151 0 13850 3 4 18.06 38500.00 27.46
## 1152 0 12000 3 3 13.59 38000.00 13.93
## 1153 0 27550 5 5 18.55 200000.00 4.02
## 1154 0 9700 3 2 11.49 128500.00 17.14
## 1155 1 6000 3 2 9.17 46149.00 19.19
## 1156 1 18000 5 5 18.20 36000.00 24.07
## 1157 1 18000 3 1 6.49 80000.00 7.04
## 1158 0 5000 3 1 7.89 65000.00 24.50
## 1159 1 2000 3 3 13.68 40000.00 14.01
## 1160 0 5400 3 3 15.05 33000.00 31.05
## 1161 1 20950 3 3 15.61 75000.00 18.21
## 1162 0 13000 3 3 12.59 127000.00 12.80
## 1163 1 1900 3 5 19.99 25000.00 26.74
## 1164 0 10000 3 3 14.08 58200.00 24.61
## 1165 0 16000 3 2 9.49 87000.00 26.22
## 1166 0 35000 3 5 20.49 145000.00 14.92
## 1167 0 20000 3 1 6.49 120000.00 7.81
## 1168 0 35000 5 5 18.55 90000.00 17.43
## 1169 0 5000 3 2 8.18 60000.00 22.86
## 1170 0 8400 3 1 5.93 150000.00 13.10
## 1171 0 21000 3 3 12.29 42000.00 18.46
## 1172 1 25000 3 3 14.99 115000.00 4.52
## 1173 0 6800 3 3 13.35 44000.00 27.96
## 1174 0 4000 3 2 10.75 80000.00 24.18
## 1175 0 24000 3 2 8.39 100000.00 18.98
## 1176 0 8000 3 3 16.02 51400.00 6.07
## 1177 0 8725 3 5 20.99 74000.00 26.48
## 1178 0 28975 5 5 18.99 175000.00 14.04
## 1179 0 12000 3 1 6.62 130000.00 9.93
## 1180 0 4800 3 4 18.06 214000.00 14.06
## 1181 0 9450 3 4 18.25 45000.00 12.64
## 1182 1 8000 3 2 10.49 65000.00 24.55
## 1183 0 10000 3 1 7.99 109000.00 5.85
## 1184 0 20000 3 1 7.89 55000.00 22.32
## 1185 0 10000 3 1 5.32 85000.00 13.57
## 1186 0 24000 3 3 14.99 90650.00 10.61
## 1187 0 27500 3 3 13.18 148000.00 10.09
## 1188 0 11200 3 1 7.49 84017.00 10.24
## 1189 1 26850 3 3 14.48 65000.00 20.53
## 1190 0 12000 3 3 13.99 30000.00 35.05
## 1191 0 5200 3 3 13.99 46500.00 22.55
## 1192 0 7000 3 3 13.98 32000.00 14.74
## 1193 0 20000 5 2 10.49 105000.00 16.45
## 1194 0 20000 5 2 9.75 67000.00 2.33
## 1195 0 10200 3 3 12.74 34637.00 23.87
## 1196 0 14800 5 6 24.99 68500.00 27.44
## 1197 0 4500 3 2 9.17 32000.00 19.87
## 1198 0 20000 3 2 9.17 130000.00 21.18
## 1199 0 10000 3 3 12.39 70000.00 17.80
## 1200 1 35000 5 5 20.99 92000.00 14.99
## 1201 0 20800 3 3 12.99 89000.00 16.26
## 1202 1 10000 3 3 16.46 50000.00 20.52
## 1203 0 6025 3 4 18.06 105000.00 14.59
## 1204 0 10575 3 4 17.57 25238.00 9.18
## 1205 0 10000 3 2 11.49 53000.00 22.51
## 1206 0 12000 5 3 13.67 80000.00 8.88
## 1207 0 10000 3 1 7.89 65000.00 13.26
## 1208 0 25725 3 4 16.55 129740.00 30.05
## 1209 0 3000 3 4 21.45 80000.00 11.94
## 1210 0 8000 3 3 15.99 205000.00 10.55
## 1211 0 15000 3 3 12.29 55000.00 18.48
## 1212 0 12000 3 1 7.62 52000.00 21.81
## 1213 0 8000 3 3 12.74 42129.00 19.94
## 1214 1 5600 3 2 11.49 32175.00 21.97
## 1215 0 15000 5 3 16.14 50200.00 18.22
## 1216 0 24000 5 2 9.99 48000.00 7.05
## 1217 0 8000 3 3 14.46 85000.00 23.28
## 1218 0 13075 3 5 19.19 43600.00 25.15
## 1219 0 9000 3 4 16.99 25000.00 30.44
## 1220 0 20000 3 1 7.89 123786.00 9.82
## 1221 0 35000 3 4 16.49 110000.00 20.22
## 1222 0 24000 3 4 15.61 73000.00 6.26
## 1223 0 4200 3 1 7.51 28800.00 2.50
## 1224 1 6000 3 2 10.42 67000.00 16.77
## 1225 1 12000 3 2 11.47 64130.00 25.32
## 1226 1 10750 3 4 17.77 32000.00 27.86
## 1227 0 8300 3 3 12.99 48000.00 12.28
## 1228 1 31000 5 3 13.35 135000.00 10.92
## 1229 1 6700 3 5 18.54 21000.00 33.77
## 1230 1 20000 3 4 19.99 97000.00 4.05
## 1231 0 22000 3 5 22.47 69000.00 22.89
## 1232 0 35000 5 3 15.99 146000.00 23.14
## 1233 0 9000 3 1 5.93 150000.00 14.37
## 1234 0 16000 5 5 18.20 67000.00 28.37
## 1235 0 7000 3 2 10.15 41000.00 38.35
## 1236 0 16000 5 5 18.99 90000.00 15.85
## 1237 0 9600 3 1 7.49 120000.00 21.64
## 1238 0 5600 3 4 16.29 30000.00 8.12
## 1239 0 10000 3 3 12.99 40000.00 6.57
## 1240 0 7450 3 3 13.99 35000.00 33.30
## 1241 1 12000 3 1 7.89 120000.00 10.38
## 1242 1 35000 5 4 20.00 135000.00 20.12
## 1243 0 14000 3 1 6.62 66000.00 11.15
## 1244 0 10000 3 3 13.33 49000.00 12.14
## 1245 0 10000 3 2 9.17 40000.00 14.64
## 1246 0 25000 5 4 16.99 98000.00 26.89
## 1247 0 21500 5 3 15.05 53000.00 30.64
## 1248 0 10000 3 3 15.10 32000.00 26.14
## 1249 0 10000 3 2 10.99 80000.00 24.79
## 1250 0 24000 3 1 6.97 108150.00 20.24
## 1251 0 16300 3 5 19.99 66000.00 16.68
## 1252 0 5000 3 1 5.32 40000.00 12.27
## 1253 0 17000 5 3 12.74 57000.00 43.71
## 1254 0 21250 3 2 10.64 49088.00 19.92
## 1255 0 10000 3 3 13.99 35000.00 9.38
## 1256 1 17500 5 6 22.45 35000.00 36.63
## 1257 0 14000 3 3 14.16 68000.00 13.80
## 1258 0 8000 3 3 13.18 60000.00 22.22
## 1259 0 7200 3 3 13.99 43000.00 13.87
## 1260 1 40000 5 3 15.05 20000.00 94.72
## 1261 0 35000 5 3 16.24 100000.00 15.43
## 1262 0 3500 3 2 9.44 88000.00 12.48
## 1263 0 7000 3 4 17.09 72000.00 30.98
## 1264 0 22950 5 4 18.24 50000.00 31.52
## 1265 0 31775 3 5 22.39 95000.00 20.20
## 1266 1 10000 3 5 23.99 42000.00 26.54
## 1267 0 4725 3 3 14.31 18000.00 20.67
## 1268 0 9350 3 2 12.49 86500.00 16.50
## 1269 0 30000 3 4 18.06 65856.00 24.00
## 1270 0 10000 3 2 9.44 55000.00 35.86
## 1271 0 5000 3 3 14.08 55000.00 17.72
## 1272 0 35000 3 2 9.99 254346.42 5.12
## 1273 0 20000 3 1 5.32 65000.00 14.66
## 1274 1 9000 3 2 11.47 52000.00 14.70
## 1275 1 26775 5 6 24.50 69000.00 34.96
## 1276 0 8000 3 2 8.49 60000.00 11.28
## 1277 0 4400 3 2 9.80 80000.00 32.19
## 1278 0 6025 3 4 16.55 83000.00 22.66
## 1279 0 7750 3 2 11.99 51000.00 15.46
## 1280 0 7000 3 3 14.08 120000.00 9.79
## 1281 0 24000 5 3 17.10 150000.00 19.66
## 1282 0 12000 5 6 23.13 125000.00 40.71
## 1283 1 32000 3 3 13.99 92000.00 28.69
## 1284 1 17425 5 3 14.08 40000.00 19.98
## 1285 0 7000 3 3 14.46 59995.00 26.47
## 1286 1 35000 5 4 17.57 108000.00 9.97
## 1287 0 12000 3 4 17.97 48000.00 32.35
## 1288 0 17375 3 1 7.39 100000.00 31.67
## 1289 0 6375 3 4 18.55 71000.00 20.62
## 1290 1 15000 5 4 17.57 31000.00 28.74
## 1291 0 20000 3 2 11.49 120000.00 16.24
## 1292 0 6500 3 2 11.67 33500.00 24.01
## 1293 0 10000 3 3 13.99 52500.00 16.07
## 1294 0 15525 3 3 14.31 89000.00 8.14
## 1295 0 30000 5 5 26.24 143000.00 14.40
## 1296 0 29000 3 3 14.16 72000.00 18.00
## 1297 0 28000 3 4 16.99 160000.00 21.16
## 1298 0 13200 3 2 9.75 50000.00 18.72
## 1299 0 10000 3 2 8.39 28241.00 24.14
## 1300 0 30000 3 3 12.59 76500.00 24.05
## 1301 0 10000 3 2 11.53 140000.00 31.97
## 1302 0 20000 3 1 7.26 70500.00 15.20
## 1303 0 14500 5 5 18.55 68000.00 19.98
## 1304 0 7200 3 2 10.38 74076.00 21.85
## 1305 0 16000 5 3 13.99 80000.00 16.60
## 1306 1 12000 5 3 15.61 45000.00 19.65
## 1307 0 10000 3 2 8.24 130000.00 0.99
## 1308 0 10400 3 1 7.49 108000.00 14.68
## 1309 1 10000 3 2 11.99 70000.00 22.84
## 1310 0 8700 3 2 11.71 47000.00 7.69
## 1311 1 10000 3 2 10.49 45000.00 21.02
## 1312 0 18000 5 3 13.67 78000.00 19.99
## 1313 0 7500 3 1 7.97 42000.00 21.91
## 1314 0 24000 3 1 8.90 104000.00 26.88
## 1315 0 15600 5 7 26.77 42000.00 15.91
## 1316 0 20000 5 3 12.69 95000.00 11.26
## 1317 0 20400 3 3 15.88 64000.00 21.21
## 1318 0 20000 5 2 8.38 85000.00 10.84
## 1319 0 2500 3 2 10.91 47000.00 32.18
## 1320 1 20000 3 1 7.59 90000.00 18.03
## 1321 0 3200 3 2 11.55 85000.00 5.51
## 1322 0 23975 5 6 22.99 48040.00 10.65
## 1323 0 20000 3 4 18.49 93000.00 11.78
## 1324 0 20000 5 5 18.25 68000.00 10.67
## 1325 0 10025 3 2 11.53 38000.00 27.35
## 1326 1 9600 3 3 14.03 83000.00 31.65
## 1327 0 11875 3 4 21.49 33000.00 16.69
## 1328 0 30000 5 3 14.98 110000.00 17.29
## 1329 0 7200 3 2 9.75 92000.00 22.30
## 1330 0 15000 3 3 14.08 32000.00 39.52
## 1331 0 20000 3 2 10.49 59000.00 29.07
## 1332 0 15000 3 2 12.85 64000.00 23.48
## 1333 1 15000 5 2 11.44 55000.00 28.71
## 1334 0 21650 5 5 20.50 65000.00 3.75
## 1335 0 25000 3 1 7.89 50000.00 13.06
## 1336 0 10325 3 3 14.16 47500.00 14.81
## 1337 0 24000 3 5 25.82 66843.00 28.17
## 1338 0 9000 3 2 9.17 64000.00 16.57
## 1339 0 24000 3 4 20.00 100000.00 5.86
## 1340 0 12000 3 2 11.47 70000.00 13.68
## 1341 0 4375 3 5 18.84 48000.00 24.23
## 1342 0 35000 3 4 17.57 140000.00 27.70
## 1343 0 11000 3 1 7.89 90000.00 28.75
## 1344 1 8950 3 5 19.99 42000.00 12.86
## 1345 0 28000 5 4 19.05 134000.00 13.15
## 1346 1 16500 3 1 7.26 104000.00 13.67
## 1347 0 20000 3 3 12.29 120000.00 3.57
## 1348 0 9025 3 4 15.61 21500.00 35.34
## 1349 0 12000 3 2 9.99 87000.00 19.92
## 1350 1 4000 3 4 17.14 43533.25 16.98
## 1351 0 2400 3 3 14.27 25000.00 17.71
## 1352 0 3000 3 2 8.49 95000.00 18.46
## 1353 0 16000 3 1 6.49 126500.00 10.36
## 1354 1 27225 5 4 18.24 74000.00 19.43
## 1355 0 7200 3 3 13.49 43200.00 13.44
## 1356 0 21000 3 2 11.47 95000.00 12.83
## 1357 0 6000 3 3 12.29 90000.00 29.99
## 1358 0 5000 3 3 14.33 33000.00 31.49
## 1359 0 22025 3 1 8.59 66000.00 22.31
## 1360 1 14675 3 4 16.99 60000.00 16.90
## 1361 0 6000 3 4 15.61 25800.00 5.30
## 1362 1 11200 3 2 11.44 78000.00 3.92
## 1363 1 25000 3 1 7.97 128000.00 19.66
## 1364 0 12500 3 1 5.32 80000.00 4.44
## 1365 0 20000 5 5 26.30 120000.00 13.41
## 1366 0 10800 3 3 13.49 85000.00 8.30
## 1367 1 35000 3 2 11.44 80000.00 31.56
## 1368 0 19750 5 5 21.60 72000.00 25.27
## 1369 0 18225 3 2 10.64 41000.00 23.74
## 1370 0 4000 3 3 15.05 45000.00 34.91
## 1371 0 6000 3 2 11.99 87500.00 22.27
## 1372 1 35000 3 2 11.49 125000.00 21.48
## 1373 0 3000 3 2 11.99 58000.00 36.13
## 1374 0 18000 3 1 5.32 92000.00 21.67
## 1375 0 8000 3 2 9.75 72000.00 28.83
## 1376 0 23300 5 4 17.56 181000.00 17.35
## 1377 0 1600 3 1 6.99 40000.00 20.68
## 1378 0 9950 3 3 15.80 30000.00 18.92
## 1379 0 5550 5 5 19.99 40000.00 4.68
## 1380 0 10650 3 2 11.53 42000.00 20.39
## 1381 1 21000 5 4 17.86 100000.00 23.67
## 1382 0 1000 3 4 19.05 23000.00 15.81
## 1383 0 27650 3 3 14.65 63000.00 29.76
## 1384 0 1000 3 3 12.99 77000.00 16.79
## 1385 0 21000 3 4 15.61 150000.00 7.56
## 1386 0 35000 3 3 15.61 145000.00 17.70
## 1387 1 27500 5 4 17.57 121000.00 13.29
## 1388 0 13000 3 1 7.69 62000.00 21.68
## 1389 0 7000 3 5 20.49 35000.00 24.86
## 1390 0 20000 5 2 9.99 75000.00 13.10
## 1391 1 7975 3 5 18.25 20000.00 29.47
## 1392 0 40000 3 2 9.44 68000.00 35.49
## 1393 0 6700 3 2 11.49 46000.00 6.63
## 1394 1 9600 3 3 16.46 200000.00 8.87
## 1395 0 20000 3 3 12.29 95000.00 11.82
## 1396 0 12000 3 3 14.08 50000.00 9.27
## 1397 0 3000 3 4 17.57 20000.00 39.66
## 1398 0 7200 3 3 16.20 33280.00 27.33
## 1399 0 6725 3 3 14.46 118000.00 4.96
## 1400 0 15000 3 2 10.49 51000.00 20.29
## 1401 0 14000 5 3 15.99 48000.00 27.98
## 1402 0 12000 5 1 7.89 85000.00 29.57
## 1403 0 13150 5 4 17.57 90000.00 19.53
## 1404 0 35000 5 5 26.24 98000.00 13.78
## 1405 0 18000 3 1 8.90 86000.00 25.91
## 1406 0 7100 3 2 11.49 35000.00 8.23
## 1407 0 9600 3 1 5.32 92000.00 8.70
## 1408 0 17700 5 3 12.62 91925.00 11.81
## 1409 0 6000 3 2 13.11 28800.00 12.75
## 1410 0 7500 3 2 12.49 55000.00 19.11
## 1411 0 2000 3 2 9.99 88000.00 22.81
## 1412 0 11500 3 3 14.65 45000.00 21.79
## 1413 0 3000 3 3 12.39 47000.00 25.00
## 1414 0 15000 3 2 11.49 20000.00 70.53
## 1415 1 10000 3 4 19.97 65000.00 27.18
## 1416 0 35000 3 1 5.32 182000.00 6.27
## 1417 0 24000 5 1 8.90 117000.00 19.78
## 1418 1 7000 3 2 8.24 82500.00 10.81
## 1419 1 3000 3 4 16.99 45000.00 5.51
## 1420 0 10000 3 3 13.67 42600.00 30.56
## 1421 0 18475 3 4 17.97 42000.00 35.39
## 1422 0 10000 3 3 13.33 49000.00 19.79
## 1423 1 18050 5 4 16.59 43000.00 18.98
## 1424 0 35000 5 4 16.59 185000.00 12.73
## 1425 0 8575 3 2 11.44 158000.00 7.96
## 1426 0 2400 3 2 8.18 50000.00 15.03
## 1427 0 8000 3 1 7.97 43000.00 16.69
## 1428 0 5000 3 1 7.49 38000.00 10.14
## 1429 0 23800 5 2 14.09 60000.00 17.91
## 1430 0 33575 3 3 12.29 73000.00 18.90
## 1431 0 15000 3 1 7.35 106000.00 15.00
## 1432 0 24000 5 3 13.99 89689.00 20.12
## 1433 0 10000 3 1 7.96 96000.00 13.35
## 1434 1 12000 5 3 16.46 45000.00 25.25
## 1435 0 7650 3 1 6.49 30000.00 8.44
## 1436 1 12000 3 4 16.55 100000.00 19.51
## 1437 1 7000 3 2 9.76 80000.00 19.15
## 1438 1 14825 3 4 15.61 150000.00 15.17
## 1439 0 8000 3 3 13.33 56000.00 23.18
## 1440 0 12000 3 2 9.99 30000.00 17.56
## 1441 1 23675 5 4 19.72 48000.00 24.78
## 1442 0 10400 3 2 10.16 65000.00 16.49
## 1443 0 20000 3 2 9.17 98000.00 16.09
## 1444 0 4000 3 2 11.53 65000.00 24.78
## 1445 0 27200 3 1 6.92 104000.00 11.29
## 1446 1 4000 3 4 18.25 70000.00 10.30
## 1447 1 4275 3 4 15.61 80000.00 10.38
## 1448 0 4800 3 2 12.21 64000.00 16.72
## 1449 0 3400 3 1 5.32 25000.00 23.62
## 1450 0 24000 5 3 13.67 60000.00 13.70
## 1451 1 4800 3 4 16.99 40000.00 16.53
## 1452 1 20000 5 3 13.99 70600.00 11.24
## 1453 0 6000 3 1 7.69 65000.00 3.21
## 1454 0 11000 5 5 19.52 40000.00 14.16
## 1455 0 26400 3 1 6.49 58000.00 26.79
## 1456 0 10000 5 3 14.99 65000.00 13.35
## 1457 0 4500 3 3 14.49 140000.00 7.77
## 1458 0 25000 3 2 9.99 70000.00 12.86
## 1459 1 12000 3 2 10.15 70000.00 25.02
## 1460 0 15000 3 1 7.89 102000.00 22.29
## 1461 1 35000 3 2 9.17 130000.00 12.51
## 1462 0 2400 3 2 9.17 35000.00 24.50
## 1463 0 5600 3 4 19.47 35000.00 22.03
## 1464 0 18875 5 4 16.55 65000.00 22.80
## 1465 0 35000 5 3 14.99 90000.00 19.34
## 1466 0 6000 3 2 8.18 49600.00 29.86
## 1467 0 8275 3 6 24.08 91000.00 8.34
## 1468 0 23325 5 3 15.61 52000.00 25.03
## 1469 0 6000 3 1 6.24 120000.00 24.19
## 1470 0 8000 3 2 8.39 47500.00 14.86
## 1471 0 8000 3 3 12.69 23000.00 26.93
## 1472 0 11900 3 2 8.18 114000.00 13.77
## 1473 0 12000 3 3 16.29 57000.00 21.00
## 1474 1 18000 3 4 19.53 40000.00 26.31
## 1475 1 5000 3 5 21.15 75000.00 10.59
## 1476 0 5000 3 1 7.39 73000.00 26.05
## 1477 0 8000 3 1 7.24 45000.00 11.84
## 1478 1 21825 5 5 19.99 52000.00 35.40
## 1479 0 8000 3 3 13.99 40000.00 8.45
## 1480 0 28000 5 3 14.30 84000.00 17.01
## 1481 0 16000 5 3 12.99 80000.00 33.86
## 1482 0 10000 3 1 6.62 45000.00 20.51
## 1483 0 35000 5 3 12.69 105000.00 11.02
## 1484 0 18575 5 4 19.99 51000.00 18.54
## 1485 0 8500 3 1 5.32 54000.00 21.04
## 1486 0 10300 5 4 18.99 56000.00 27.67
## 1487 0 20000 3 2 13.11 64000.00 15.19
## 1488 1 13500 5 6 23.99 45000.00 31.37
## 1489 1 15000 3 2 12.12 95000.00 14.12
## 1490 1 7000 3 4 16.29 30000.00 7.92
## 1491 1 28000 5 4 17.09 79000.00 14.54
## 1492 0 20000 5 3 13.66 65000.00 15.47
## 1493 0 10000 5 4 18.06 28000.00 18.09
## 1494 0 12000 5 3 12.74 32000.00 13.84
## 1495 0 16000 5 3 16.02 81000.00 9.59
## 1496 0 11200 3 2 10.15 32000.00 10.35
## 1497 0 2400 3 3 12.29 40000.00 21.00
## 1498 0 25000 3 2 10.75 103000.00 15.35
## 1499 0 11400 5 6 24.50 60534.00 15.64
## 1500 0 16000 5 3 17.10 36000.00 29.80
## 1501 1 28450 3 4 17.86 103000.00 31.22
## 1502 0 10000 5 2 11.53 70000.00 23.57
## 1503 0 6000 3 1 5.32 110000.00 12.93
## 1504 0 4800 3 3 11.99 15600.00 18.15
## 1505 0 6250 5 4 19.72 55000.00 11.35
## 1506 1 2600 3 5 20.99 18500.00 12.13
## 1507 0 10000 3 3 12.39 96762.00 20.56
## 1508 0 3975 3 5 20.99 9000.00 22.40
## 1509 1 29925 5 4 17.47 65700.00 33.61
## 1510 0 5000 3 3 14.65 30000.00 25.20
## 1511 0 3000 3 3 13.99 70000.00 4.41
## 1512 0 5000 3 4 18.25 18000.00 30.85
## 1513 0 20000 5 1 7.84 95675.11 22.21
## 1514 1 3000 3 2 9.93 53000.00 7.04
## 1515 0 3500 3 3 12.53 36000.00 16.23
## 1516 1 11000 3 2 9.17 60000.00 14.43
## 1517 0 9300 3 3 12.79 30000.00 23.92
## 1518 0 5600 3 4 15.61 36000.00 31.13
## 1519 0 3000 3 2 8.24 51000.00 3.34
## 1520 0 20000 3 2 9.17 91000.00 14.95
## 1521 0 3000 3 3 13.59 60000.00 14.22
## 1522 1 14400 5 4 21.49 65000.00 25.65
## 1523 0 25000 3 1 5.32 93000.00 13.38
## 1524 0 9400 3 5 18.20 55000.00 21.86
## 1525 0 24000 3 1 7.62 130000.00 14.25
## 1526 0 4800 3 2 11.14 32000.00 6.94
## 1527 0 10000 5 3 16.02 65000.00 21.98
## 1528 0 3375 3 3 14.65 47000.00 29.12
## 1529 0 18000 5 4 16.55 95000.00 31.85
## 1530 0 15000 3 1 7.90 108000.00 14.60
## 1531 0 7500 3 2 8.39 31000.00 2.94
## 1532 0 31200 5 3 15.10 87000.00 12.90
## 1533 0 13750 3 4 18.24 52000.00 27.58
## 1534 1 8425 3 4 18.25 33276.00 20.30
## 1535 0 18000 3 2 9.99 200000.00 4.19
## 1536 0 5000 3 3 12.99 47000.00 11.67
## 1537 1 24000 5 5 22.47 145000.00 8.48
## 1538 0 24000 3 3 15.88 68092.00 17.29
## 1539 0 6500 3 1 7.26 79000.00 7.72
## 1540 0 7200 3 3 14.65 19200.00 11.25
## 1541 0 16000 5 2 10.42 105000.00 10.99
## 1542 1 5000 3 3 15.31 59000.00 20.22
## 1543 0 5000 3 1 6.89 33000.00 20.15
## 1544 0 20000 5 3 13.18 100000.00 5.62
## 1545 0 16000 5 1 6.54 91985.28 6.51
## 1546 0 8500 3 1 7.99 42000.00 17.91
## 1547 0 15000 3 2 13.67 86000.00 18.14
## 1548 0 5500 3 2 11.49 55000.00 25.07
## 1549 0 3000 3 2 11.67 30000.00 9.40
## 1550 0 28000 5 3 14.48 80000.00 16.89
## 1551 0 15250 3 4 17.77 50231.00 19.52
## 1552 1 35000 3 3 14.07 225000.00 13.45
## 1553 0 10800 3 1 7.89 95000.00 14.03
## 1554 0 28000 3 2 9.99 100000.00 20.54
## 1555 1 8000 3 4 15.59 110000.00 17.30
## 1556 1 9600 3 2 11.49 52000.00 12.89
## 1557 0 17000 3 2 10.99 130000.00 4.34
## 1558 0 35000 3 2 10.99 75000.00 26.75
## 1559 0 10000 3 2 9.67 87000.00 15.23
## 1560 0 13200 3 2 10.75 110000.00 10.27
## 1561 0 15000 3 2 11.55 89000.00 20.70
## 1562 0 15000 5 4 16.59 69300.00 22.82
## 1563 0 20000 3 4 19.22 130000.00 19.37
## 1564 0 8000 3 2 11.99 55000.00 26.31
## 1565 1 4000 3 2 10.90 30000.00 0.00
## 1566 0 6500 3 2 13.11 75000.00 18.11
## 1567 0 3600 3 3 12.74 50001.00 6.58
## 1568 0 10000 3 2 11.49 54000.00 7.69
## 1569 0 21000 3 2 12.35 100000.00 17.23
## 1570 0 29000 3 1 7.26 102000.00 10.45
## 1571 1 20000 3 2 11.47 86000.00 33.78
## 1572 0 3500 3 1 7.97 84000.00 10.61
## 1573 0 16000 5 4 15.99 109300.00 7.02
## 1574 1 5000 3 2 11.47 40500.00 18.37
## 1575 0 20000 3 3 14.33 81000.00 28.71
## 1576 0 21000 5 3 13.44 125000.00 12.48
## 1577 0 24000 3 1 7.89 105000.00 17.44
## 1578 0 17600 3 3 13.33 111345.00 10.38
## 1579 1 12000 5 3 16.02 58000.00 19.14
## 1580 0 10000 3 2 8.24 84500.00 13.70
## 1581 1 30000 5 4 19.03 130000.00 11.61
## 1582 0 5075 3 3 14.98 12720.00 18.02
## 1583 1 15000 5 4 16.55 78000.00 4.38
## 1584 1 10000 3 2 8.39 40000.00 11.49
## 1585 1 8000 3 3 14.65 72000.00 30.42
## 1586 0 11000 3 2 9.99 32400.00 1.15
## 1587 0 9000 3 1 7.89 47000.00 16.70
## 1588 0 5000 3 3 11.99 50000.00 23.15
## 1589 0 25000 3 1 5.32 90000.00 7.77
## 1590 1 18000 3 2 9.17 75000.00 15.49
## 1591 1 20000 5 5 24.99 65000.00 17.17
## 1592 1 20000 3 5 18.25 90000.00 15.59
## 1593 0 40000 3 3 14.99 300000.00 1.58
## 1594 0 10000 3 3 12.39 56000.00 15.65
## 1595 0 3500 3 1 6.62 39600.00 0.76
## 1596 0 5000 3 2 9.76 82000.00 26.01
## 1597 0 14000 5 5 26.30 70000.00 10.49
## 1598 0 16000 5 2 12.99 100000.00 23.96
## 1599 0 18000 3 2 9.17 115000.00 26.11
## 1600 1 12000 3 2 9.99 45000.00 30.32
## 1601 0 2050 3 3 12.99 87000.00 36.55
## 1602 0 30000 3 4 17.86 185000.00 9.02
## 1603 0 6000 3 3 12.99 52000.00 8.61
## 1604 0 5000 3 2 10.99 85000.00 1.21
## 1605 0 13200 3 1 6.39 81000.00 17.96
## 1606 0 6000 3 3 15.59 56000.00 21.67
## 1607 0 10000 5 3 14.46 100000.00 18.81
## 1608 1 4000 3 3 13.59 59800.00 12.71
## 1609 0 11975 3 7 25.83 40000.00 10.23
## 1610 1 14725 3 4 17.47 72000.00 24.63
## 1611 0 10000 3 1 6.49 78000.00 10.65
## 1612 0 17000 5 5 22.70 62000.00 15.60
## 1613 0 24000 3 1 6.03 167000.00 5.74
## 1614 0 2000 3 2 8.24 132000.00 20.55
## 1615 0 2500 3 1 7.21 101000.00 24.92
## 1616 1 10000 3 2 11.99 80000.00 26.31
## 1617 0 25000 5 2 8.67 96184.00 12.81
## 1618 1 12000 5 2 10.99 95600.00 13.82
## 1619 0 8000 3 2 11.67 70000.00 26.57
## 1620 0 18000 3 1 7.90 59000.00 13.89
## 1621 0 21500 5 3 16.02 85000.00 13.41
## 1622 0 10000 3 3 11.99 84000.00 24.24
## 1623 0 12000 3 1 6.92 78000.00 18.08
## 1624 0 10000 3 1 7.97 68000.00 10.73
## 1625 0 25600 3 2 10.99 96000.00 22.73
## 1626 0 10000 3 2 9.17 30000.00 17.24
## 1627 0 15000 3 1 6.03 118000.00 14.74
## 1628 0 10000 3 1 6.89 130000.00 20.81
## 1629 0 6000 3 1 7.26 42000.00 26.71
## 1630 0 14400 5 3 13.68 77000.00 9.63
## 1631 0 28000 3 5 20.75 125000.00 10.35
## 1632 1 16000 3 1 7.89 60000.00 24.48
## 1633 0 10000 3 1 7.89 72000.00 6.23
## 1634 0 20000 5 3 14.49 60000.00 5.16
## 1635 0 7475 3 3 14.65 40000.00 27.36
## 1636 1 24000 5 4 19.42 70000.00 17.67
## 1637 1 4800 3 3 12.99 67000.00 22.18
## 1638 0 13200 3 4 18.99 30000.00 26.80
## 1639 1 9000 3 2 9.75 80000.00 30.53
## 1640 0 12000 3 2 9.67 60000.00 20.76
## 1641 0 13475 5 5 21.98 98000.00 4.26
## 1642 0 14500 3 3 13.35 50800.00 23.91
## 1643 1 35000 3 4 15.41 82125.00 28.02
## 1644 0 16000 5 1 7.89 60000.00 17.48
## 1645 0 17000 5 3 12.61 95000.00 17.13
## 1646 1 5000 3 3 12.69 289000.00 19.11
## 1647 0 9000 3 2 10.78 55000.00 14.20
## 1648 1 32050 3 3 14.85 71224.00 26.28
## 1649 1 16500 3 3 13.35 53500.00 22.25
## 1650 0 22250 5 5 21.00 50000.00 25.80
## 1651 0 21000 3 1 7.62 80000.00 8.14
## 1652 0 12000 3 1 7.21 69000.00 23.65
## 1653 0 9800 3 4 19.72 41800.00 25.84
## 1654 0 12000 5 3 13.35 80000.00 14.76
## 1655 0 3400 3 1 6.83 70000.00 8.59
## 1656 0 11850 3 1 7.90 108800.00 20.35
## 1657 0 18175 5 4 17.57 80000.00 16.35
## 1658 0 20000 3 1 8.19 104600.00 13.64
## 1659 1 12500 3 2 11.49 35750.00 22.05
## 1660 0 15000 3 1 5.32 100000.00 15.81
## 1661 1 11525 3 4 18.99 48000.00 28.72
## 1662 0 17000 5 5 21.18 50000.00 22.13
## 1663 0 15000 3 4 16.55 45600.00 5.11
## 1664 0 6000 3 4 18.99 36000.00 31.10
## 1665 0 18900 3 4 18.92 80000.00 22.51
## 1666 0 20000 3 2 9.17 65000.00 16.58
## 1667 0 39600 5 3 13.99 160000.00 9.35
## 1668 0 25450 3 5 20.20 51000.00 16.89
## 1669 0 15000 3 1 6.24 80000.00 12.46
## 1670 1 10000 3 3 13.99 50000.00 17.55
## 1671 0 28000 3 1 7.89 136000.00 9.16
## 1672 0 30000 5 2 12.12 123400.00 13.33
## 1673 0 2500 3 2 9.92 38000.00 32.19
## 1674 0 28000 3 1 7.89 415000.00 6.93
## 1675 1 18200 5 4 17.77 52000.00 17.72
## 1676 0 4000 3 2 10.49 52000.00 19.69
## 1677 0 14400 3 4 18.06 62000.00 32.96
## 1678 0 15000 3 1 6.24 84000.00 25.13
## 1679 0 12000 3 3 12.29 32000.00 4.73
## 1680 0 25000 5 2 11.44 102000.00 25.61
## 1681 0 13150 3 3 13.35 30000.00 34.08
## 1682 0 10000 3 3 16.78 70000.00 4.54
## 1683 1 10000 3 2 11.11 127000.00 7.69
## 1684 0 8875 3 5 21.15 90000.00 21.30
## 1685 0 8000 3 3 15.99 70000.00 16.75
## 1686 0 10000 3 2 11.99 53000.00 9.26
## 1687 0 10000 5 3 12.69 30000.00 11.68
## 1688 0 8000 3 2 10.49 104000.00 20.57
## 1689 0 8000 3 2 9.17 44000.00 28.72
## 1690 1 30000 5 4 17.57 92000.00 14.48
## 1691 0 4250 3 6 16.96 35000.00 29.42
## 1692 0 1800 3 3 13.99 32000.00 11.55
## 1693 0 5000 3 3 15.31 50000.00 36.97
## 1694 0 19000 3 1 6.49 60000.00 24.78
## 1695 1 25000 3 3 13.33 86000.00 18.28
## 1696 0 9600 3 1 7.35 70000.00 36.79
## 1697 0 19000 3 1 8.59 100000.00 12.56
## 1698 1 10000 3 3 12.99 85000.00 3.44
## 1699 0 5400 3 1 6.39 46155.00 20.28
## 1700 0 14700 3 2 12.49 35000.00 19.48
## 1701 0 8300 3 1 7.59 65000.00 12.68
## 1702 1 16000 3 2 10.91 102000.00 9.95
## 1703 0 16550 5 3 14.65 36000.00 18.17
## 1704 0 4000 3 1 6.99 50000.00 15.67
## 1705 0 30000 5 2 9.99 130629.00 9.95
## 1706 0 9000 3 2 9.17 46000.00 19.07
## 1707 1 15000 3 2 11.47 125000.00 15.27
## 1708 0 5400 3 2 11.22 105000.00 20.34
## 1709 0 10000 3 2 11.22 45750.00 15.71
## 1710 1 10000 3 2 9.99 54000.00 3.24
## 1711 1 21000 3 2 9.17 160000.00 11.18
## 1712 0 2700 3 3 12.99 39040.00 17.55
## 1713 0 6000 3 2 9.49 154000.00 10.03
## 1714 1 15000 5 3 13.98 96000.00 9.49
## 1715 0 20000 3 4 21.45 55561.00 29.61
## 1716 1 5000 3 3 13.99 24000.00 31.60
## 1717 0 6000 3 2 8.24 36000.00 15.30
## 1718 0 28500 5 4 18.92 68000.00 27.28
## 1719 0 30000 5 3 11.99 130000.00 20.89
## 1720 0 7800 3 3 14.33 45000.00 19.17
## 1721 0 21950 3 2 9.16 78000.00 16.02
## 1722 0 21000 3 1 8.90 102000.00 12.44
## 1723 0 10800 3 2 12.49 30000.00 23.26
## 1724 0 5000 3 3 14.65 32000.00 16.88
## 1725 0 10000 5 6 30.65 35000.00 14.61
## 1726 0 13000 3 2 10.78 65000.00 18.43
## 1727 0 7000 3 3 16.78 40000.00 27.54
## 1728 1 12000 3 2 10.99 90000.00 15.67
## 1729 1 18000 5 5 19.99 75000.00 30.54
## 1730 0 24375 3 5 20.49 62000.00 17.90
## 1731 0 15000 3 1 7.89 65000.00 29.24
## 1732 1 10500 3 2 11.47 87000.00 24.12
## 1733 0 2625 3 2 11.71 52800.00 14.52
## 1734 0 35000 3 3 13.33 120000.00 20.40
## 1735 0 10000 3 1 5.32 155000.00 15.93
## 1736 0 10000 3 3 15.31 102000.00 15.82
## 1737 1 18000 3 3 14.22 72000.00 14.88
## 1738 0 8800 3 3 13.35 40000.00 29.88
## 1739 1 7225 3 3 13.98 62000.00 32.69
## 1740 0 27750 3 2 10.99 58000.00 28.73
## 1741 0 28000 5 2 8.67 80000.00 21.56
## 1742 0 30550 5 2 11.55 217000.00 10.30
## 1743 0 3000 3 1 5.42 58000.00 18.04
## 1744 1 30000 3 4 20.31 123600.00 9.37
## 1745 0 15000 3 2 14.09 51000.00 17.95
## 1746 0 35000 3 2 11.49 140000.00 7.58
## 1747 1 18000 5 6 21.28 145000.00 12.76
## 1748 0 25000 3 3 15.61 70000.00 11.29
## 1749 0 2800 3 5 22.39 25800.00 24.60
## 1750 0 24000 5 2 10.75 75000.00 14.48
## 1751 0 10200 3 1 7.91 175000.00 6.71
## 1752 0 24000 3 2 11.53 75379.00 16.84
## 1753 0 6500 3 2 11.99 62000.00 13.65
## 1754 0 15000 5 3 17.27 93000.00 33.06
## 1755 1 5000 3 3 12.99 104000.00 6.47
## 1756 1 35000 3 6 24.99 130000.00 6.85
## 1757 1 14775 5 6 25.09 50000.00 46.71
## 1758 1 9600 3 1 7.24 61500.00 29.01
## 1759 0 17950 3 3 12.62 89350.00 20.94
## 1760 0 24000 3 2 9.75 218000.00 18.39
## 1761 0 15350 3 2 12.12 58000.00 19.15
## 1762 0 10000 3 3 11.99 50000.00 22.29
## 1763 0 10000 3 5 19.99 35000.00 14.82
## 1764 0 10000 3 1 5.32 125000.00 16.58
## 1765 0 7000 3 1 7.24 38500.00 15.21
## 1766 0 24000 3 1 7.62 195000.00 11.26
## 1767 1 14400 5 5 19.99 54000.00 19.87
## 1768 0 15000 5 2 9.17 120000.00 20.12
## 1769 0 3000 3 3 13.18 56000.00 38.36
## 1770 1 10625 5 6 29.99 46500.00 29.01
## 1771 0 25000 5 5 18.49 120000.00 25.52
## 1772 0 4000 3 1 7.07 40000.00 11.91
## 1773 0 15000 3 3 14.33 40000.00 21.16
## 1774 0 20000 5 3 14.65 78000.00 11.88
## 1775 0 10000 3 2 9.16 60000.00 8.30
## 1776 0 16000 3 3 15.02 62000.00 13.23
## 1777 0 19750 3 4 20.20 45000.00 31.89
## 1778 0 21000 3 2 8.24 120000.00 21.06
## 1779 1 10500 5 3 13.99 75000.00 16.91
## 1780 0 35000 3 4 17.86 250000.00 21.75
## 1781 0 8000 3 1 7.90 46000.00 16.78
## 1782 0 10000 3 3 13.33 40000.00 39.30
## 1783 0 5650 3 2 10.99 65000.00 27.66
## 1784 0 33550 3 4 16.29 150000.00 18.84
## 1785 0 5600 3 2 12.12 26000.00 10.75
## 1786 0 8500 3 2 12.49 78500.00 22.16
## 1787 1 30000 3 3 13.65 108000.00 18.88
## 1788 0 4000 3 2 10.00 64000.00 18.17
## 1789 0 40000 3 3 15.99 65000.00 39.94
## 1790 0 6000 3 2 9.16 50000.00 24.51
## 1791 0 10000 3 1 7.89 95000.00 17.95
## 1792 0 16000 3 2 9.17 123000.00 15.52
## 1793 1 30000 3 4 15.41 120000.00 18.11
## 1794 0 15000 5 5 23.99 90000.00 16.29
## 1795 0 12000 3 1 6.89 90000.00 27.36
## 1796 0 19000 3 1 6.97 108156.00 14.26
## 1797 0 18200 5 1 7.89 40000.00 16.86
## 1798 0 6000 3 4 17.57 27000.00 24.89
## 1799 0 15000 5 3 12.29 110000.00 14.04
## 1800 1 10000 3 2 10.15 96000.00 2.09
## 1801 0 4200 3 3 13.33 70000.00 13.49
## 1802 0 12000 3 1 7.62 125000.00 27.96
## 1803 0 12500 3 1 5.93 57000.00 15.98
## 1804 1 30000 5 3 13.33 72000.00 23.57
## 1805 0 3650 3 4 18.06 40000.00 17.52
## 1806 0 6000 3 3 14.49 36400.00 6.23
## 1807 0 20000 3 2 12.49 90000.00 22.37
## 1808 0 6000 3 3 15.05 150000.00 14.61
## 1809 1 15000 5 6 25.78 30000.00 28.45
## 1810 0 14000 3 1 7.90 44000.00 21.05
## 1811 0 35000 3 1 7.89 300000.00 14.41
## 1812 1 4800 3 3 16.02 40000.00 11.61
## 1813 0 15000 3 3 14.64 53000.00 13.75
## 1814 1 35000 3 2 10.99 250000.00 11.52
## 1815 0 5000 3 2 11.99 78450.00 15.08
## 1816 0 23000 3 2 10.99 60000.00 15.04
## 1817 0 15000 5 3 13.98 76000.00 18.33
## 1818 1 16000 5 3 16.78 36000.00 33.80
## 1819 0 15000 3 3 13.49 61000.00 30.30
## 1820 1 20000 3 3 13.59 60000.00 5.78
## 1821 0 9600 3 4 21.49 50000.00 2.52
## 1822 0 10000 3 3 16.20 86000.00 14.95
## 1823 0 6000 3 2 8.18 40000.00 7.66
## 1824 0 2000 5 5 21.49 39375.00 11.82
## 1825 0 24500 5 5 21.15 60000.00 7.46
## 1826 0 4000 3 5 21.97 42500.00 33.75
## 1827 0 29300 5 3 13.33 102000.00 24.87
## 1828 0 24000 3 1 7.89 130000.00 26.02
## 1829 0 19200 5 5 19.52 72000.00 22.25
## 1830 0 18000 3 1 7.21 220000.00 23.94
## 1831 0 11500 3 2 12.12 59000.00 7.91
## 1832 0 21000 3 1 7.62 88000.00 20.82
## 1833 0 10000 3 1 8.49 55000.00 9.45
## 1834 1 24450 5 4 17.57 66000.00 8.29
## 1835 0 28000 3 3 13.33 73500.00 17.16
## 1836 0 6000 3 2 11.44 70000.00 2.95
## 1837 1 8000 3 2 13.53 43000.00 7.42
## 1838 0 16200 5 2 11.53 70000.00 26.64
## 1839 0 15000 3 4 15.05 55000.00 16.95
## 1840 0 7600 3 2 12.85 36000.00 8.87
## 1841 0 3000 3 2 11.55 45000.00 0.75
## 1842 0 35000 5 4 16.29 92300.00 34.85
## 1843 0 15000 3 2 11.14 90000.00 19.53
## 1844 0 20000 3 2 10.15 185000.00 9.15
## 1845 0 12000 3 3 13.49 67200.00 14.29
## 1846 0 15000 5 6 24.08 48000.00 14.42
## 1847 0 8125 3 4 18.92 25000.00 11.52
## 1848 0 6000 3 1 6.97 51000.00 7.95
## 1849 0 7200 3 2 9.93 82000.00 18.44
## 1850 0 14300 5 4 19.47 54100.00 26.26
## 1851 0 40000 3 3 13.67 100000.00 12.49
## 1852 0 7200 3 6 25.69 56000.00 18.43
## 1853 0 28000 3 1 6.92 160000.00 13.83
## 1854 0 17000 5 5 22.45 50000.00 32.55
## 1855 0 18000 5 4 18.25 42000.00 33.89
## 1856 0 5000 3 2 11.67 35000.00 15.19
## 1857 0 15000 3 2 9.17 90000.00 13.43
## 1858 0 10000 3 1 7.69 98500.00 17.59
## 1859 1 20500 5 3 14.31 50000.00 6.07
## 1860 0 25000 3 1 6.68 76000.00 19.00
## 1861 0 5000 3 1 8.19 21994.80 8.68
## 1862 0 15000 3 3 15.61 70000.00 18.46
## 1863 0 10000 3 5 22.91 63000.00 16.44
## 1864 0 28000 5 3 13.99 91000.00 31.26
## 1865 1 15000 3 3 14.46 43000.00 16.44
## 1866 0 3000 3 4 17.57 41000.00 23.10
## 1867 0 19750 5 6 23.13 52000.00 16.78
## 1868 0 25000 3 1 6.24 170000.00 15.36
## 1869 0 10000 3 1 8.90 46000.00 13.41
## 1870 0 12000 5 2 11.49 67000.00 6.05
## 1871 0 14400 5 4 19.99 42640.00 20.15
## 1872 0 8000 3 1 7.90 39000.00 10.55
## 1873 0 10000 3 2 8.24 49600.00 19.53
## 1874 0 30000 3 3 13.98 145000.00 12.55
## 1875 1 24925 3 4 15.59 50000.00 19.99
## 1876 0 8000 3 1 7.97 70000.00 19.34
## 1877 0 24000 3 2 10.75 110000.00 17.53
## 1878 0 4000 3 1 6.71 19000.00 11.05
## 1879 1 16000 3 3 16.24 41734.00 34.02
## 1880 0 1950 3 2 10.37 16800.00 24.29
## 1881 0 5000 3 3 13.49 62160.00 15.06
## 1882 1 5000 3 4 17.86 40000.00 11.61
## 1883 1 27000 5 6 23.63 72000.00 28.03
## 1884 0 10000 3 1 6.03 62000.00 15.66
## 1885 0 25000 3 3 12.99 117500.00 15.67
## 1886 1 7500 3 3 15.31 24000.00 17.75
## 1887 0 14400 3 4 15.20 108500.00 13.60
## 1888 0 8000 3 1 7.89 40000.00 23.73
## 1889 0 14400 3 2 10.91 63000.00 6.23
## 1890 0 35000 5 3 12.99 103284.00 16.39
## 1891 0 6900 3 3 16.02 170000.00 20.60
## 1892 0 11200 3 3 13.99 56000.00 29.19
## 1893 1 15000 3 1 6.24 65000.00 23.95
## 1894 0 17175 3 1 6.49 51000.00 31.00
## 1895 0 10000 3 2 10.16 90000.00 13.17
## 1896 0 7200 5 4 19.72 41600.00 34.99
## 1897 0 5500 3 3 13.33 65000.00 10.47
## 1898 0 12000 3 1 7.89 48000.00 24.74
## 1899 0 25000 5 6 23.63 68000.00 14.93
## 1900 1 40000 3 1 5.32 170100.00 13.59
## 1901 0 9000 3 3 13.99 28000.00 36.99
## 1902 0 12000 3 1 6.62 75000.00 8.77
## 1903 0 6000 3 1 8.59 70000.00 16.66
## 1904 0 10000 3 1 8.59 70000.00 9.27
## 1905 0 5000 3 2 10.99 37000.00 22.87
## 1906 0 23850 3 3 14.33 60000.00 27.08
## 1907 0 10000 3 2 9.17 91000.00 23.43
## 1908 0 7000 3 3 14.30 32000.00 7.99
## 1909 0 25950 5 5 18.55 88000.00 22.16
## 1910 0 24000 5 3 16.24 95000.00 18.41
## 1911 0 14025 3 3 13.67 39000.00 17.83
## 1912 0 24000 3 1 7.49 80000.00 29.91
## 1913 0 12000 3 1 6.72 85000.00 6.58
## 1914 0 15000 3 3 13.35 34500.00 30.32
## 1915 0 16000 5 3 13.49 82000.00 13.43
## 1916 0 7000 3 1 7.89 58500.00 4.35
## 1917 0 18000 3 2 10.15 115000.00 9.16
## 1918 0 10000 3 1 7.69 39836.00 12.47
## 1919 0 13775 3 1 7.62 70000.00 21.07
## 1920 1 17000 3 2 10.16 50657.00 27.64
## 1921 0 20000 5 2 9.93 89000.00 14.20
## 1922 1 28000 5 4 17.97 75000.00 36.98
## 1923 0 14000 3 3 16.29 70000.00 10.75
## 1924 0 11000 3 2 11.99 30000.00 17.44
## 1925 1 8550 3 3 13.99 119789.00 8.67
## 1926 1 25200 5 4 18.24 60000.00 8.28
## 1927 0 20000 5 2 9.99 105000.00 12.56
## 1928 1 2500 3 3 13.49 60000.00 14.54
## 1929 0 15000 3 1 8.19 45000.00 28.27
## 1930 0 10750 3 5 19.19 32000.00 26.93
## 1931 0 10450 3 2 11.67 80400.00 24.93
## 1932 0 4000 3 2 9.44 50000.00 6.89
## 1933 0 12000 3 3 13.98 38000.00 22.49
## 1934 0 18000 3 2 9.16 106000.00 33.43
## 1935 0 15000 3 2 11.14 67600.00 10.90
## 1936 1 5150 3 2 13.11 48550.00 11.07
## 1937 0 9450 3 2 11.14 70000.00 13.36
## 1938 0 10000 3 2 10.78 80000.00 16.68
## 1939 0 2500 3 3 13.99 33000.00 31.56
## 1940 0 11000 3 2 9.17 29000.00 22.85
## 1941 1 15000 5 4 16.49 72000.00 14.45
## 1942 0 3650 3 3 14.46 42000.00 32.06
## 1943 0 18000 3 1 7.89 60000.00 6.12
## 1944 0 12000 3 4 19.03 38310.00 33.65
## 1945 0 8000 3 1 5.32 75000.00 12.59
## 1946 0 12000 5 5 18.54 65000.00 17.97
## 1947 0 3000 3 1 7.35 25000.00 8.16
## 1948 0 17600 3 5 26.30 40000.00 30.00
## 1949 0 12000 5 3 16.24 60000.00 14.46
## 1950 0 3000 3 2 9.43 52000.00 14.22
## 1951 0 15000 5 5 18.49 30000.00 17.73
## 1952 0 2400 3 4 17.86 28800.00 13.67
## 1953 0 30000 3 2 9.67 68000.00 15.12
## 1954 0 2375 3 2 11.44 16536.00 16.95
## 1955 0 7000 3 1 6.62 65000.00 10.28
## 1956 0 3000 3 3 12.59 19200.00 29.88
## 1957 1 4450 3 5 20.20 45000.00 30.03
## 1958 0 17500 5 2 13.11 58000.00 26.18
## 1959 0 35000 3 5 20.20 189000.00 11.53
## 1960 0 2400 3 1 8.39 59300.00 23.25
## 1961 0 40000 5 3 13.49 96000.00 9.92
## 1962 0 24000 3 1 7.99 90000.00 28.80
## 1963 0 7000 3 1 5.32 40000.00 22.05
## 1964 0 16000 3 3 13.67 60000.00 12.27
## 1965 0 10000 3 2 9.49 215040.00 14.80
## 1966 0 10000 3 3 15.27 53760.00 4.02
## 1967 1 4275 5 4 18.99 40000.00 10.50
## 1968 0 25000 3 1 7.26 130000.00 19.27
## 1969 1 12000 5 6 24.08 129700.00 16.49
## 1970 0 12000 3 1 5.32 100000.00 29.56
## 1971 0 8000 3 1 6.89 49500.00 20.32
## 1972 0 15000 3 1 6.39 175000.00 10.79
## 1973 1 14400 5 6 22.99 51000.00 17.36
## 1974 1 20000 3 2 9.99 120000.00 22.82
## 1975 0 8575 3 3 12.29 18694.80 37.89
## 1976 0 8000 3 1 7.69 40000.00 33.50
## 1977 1 15000 3 4 15.41 55000.00 28.20
## 1978 0 15000 3 1 7.89 70000.00 14.49
## 1979 0 35000 3 3 14.33 200000.00 11.80
## 1980 0 20000 3 2 11.49 102000.00 24.38
## 1981 0 1200 3 3 12.29 80000.00 18.66
## 1982 1 35000 3 3 12.74 104000.00 32.63
## 1983 0 15000 3 2 10.15 34055.00 11.49
## 1984 0 2000 3 3 12.99 110000.00 13.59
## 1985 0 10000 5 3 13.67 55000.00 16.43
## 1986 0 5600 3 4 18.49 25376.98 13.67
## 1987 0 24000 3 3 12.69 50000.00 27.63
## 1988 0 13000 3 2 13.53 58000.00 18.04
## 1989 0 10000 3 1 6.99 50000.00 22.03
## 1990 0 33300 3 2 11.99 500000.00 6.02
## 1991 0 11200 5 6 28.69 63000.00 19.75
## 1992 1 35000 3 4 15.77 98000.00 10.16
## 1993 1 30000 5 4 19.03 78000.00 27.43
## 1994 0 5000 3 3 12.99 40000.00 8.79
## 1995 0 25000 5 2 11.44 200000.00 21.31
## 1996 0 9000 3 2 11.53 67000.00 16.31
## 1997 0 12000 5 3 14.65 49000.00 24.15
## 1998 1 1500 3 3 15.05 24000.00 24.70
## 1999 0 28000 3 3 12.62 138000.00 12.30
## 2000 1 12000 3 4 16.99 33000.00 18.84
## 2001 0 4750 3 3 17.27 16000.00 9.90
## 2002 0 30000 3 3 13.99 130000.00 14.45
## 2003 0 8000 3 3 14.65 37000.00 25.40
## 2004 0 15000 5 3 13.66 33000.00 23.27
## 2005 0 4450 3 2 12.99 45000.00 24.43
## 2006 0 10000 3 3 16.02 25000.00 8.31
## 2007 0 30000 3 1 7.89 110000.00 21.87
## 2008 0 15000 3 2 9.44 75000.00 16.40
## 2009 0 15000 5 4 15.28 48000.00 13.65
## 2010 0 6000 3 2 9.93 96011.00 11.81
## 2011 0 5000 3 1 7.51 45000.00 28.80
## 2012 0 20000 5 3 13.67 56000.00 18.24
## 2013 0 28000 3 2 10.99 85000.00 28.40
## 2014 1 30000 5 3 14.99 140000.00 14.44
## 2015 0 8000 3 2 12.99 43590.00 8.04
## 2016 0 21000 3 3 12.99 130000.00 19.47
## 2017 0 4275 3 3 12.74 65000.00 31.96
## 2018 1 35000 5 5 21.70 108500.00 15.76
## 2019 0 7300 3 1 7.89 54000.00 29.33
## 2020 1 6000 3 3 13.67 33000.00 10.98
## 2021 0 16000 5 3 16.78 79000.00 32.57
## 2022 1 11200 5 3 15.99 48000.00 10.40
## 2023 0 16000 5 4 15.58 210000.00 5.21
## 2024 0 25000 3 1 6.89 84000.00 7.20
## 2025 1 5000 3 2 9.17 45000.00 15.68
## 2026 0 10000 3 3 14.46 68000.00 32.44
## 2027 0 10000 3 3 12.29 60000.00 18.52
## 2028 0 35000 3 4 17.09 165000.00 12.16
## 2029 0 5000 5 5 23.10 43000.00 22.94
## 2030 0 5000 3 2 11.58 30000.00 19.96
## 2031 0 5000 3 3 15.59 55000.00 22.86
## 2032 0 4000 3 3 13.49 91000.00 7.07
## 2033 0 40000 3 1 5.32 275000.00 10.31
## 2034 0 7025 3 3 13.67 40000.00 29.88
## 2035 0 5950 3 3 13.49 31000.00 17.90
## 2036 1 23075 3 3 14.49 55000.00 18.63
## 2037 1 15000 3 3 13.98 45000.00 17.84
## 2038 1 20000 3 3 13.66 100000.00 17.75
## 2039 0 6000 3 1 6.99 53000.00 15.39
## 2040 0 9000 3 2 11.12 63000.00 17.64
## 2041 0 11000 3 2 10.99 89079.12 1.78
## 2042 0 4800 3 3 14.99 56000.00 21.20
## 2043 0 2400 3 3 13.99 40200.00 21.79
## 2044 0 13375 3 3 12.99 45000.00 10.56
## 2045 1 18150 3 4 19.53 60000.00 29.40
## 2046 0 25000 5 4 17.76 65000.00 19.22
## 2047 0 10000 3 1 5.32 75000.00 15.78
## 2048 1 20500 3 4 17.57 57000.00 24.32
## 2049 1 6000 3 4 15.61 60000.00 12.94
## 2050 0 35000 3 2 13.11 123000.00 26.50
## 2051 0 10200 3 2 8.39 31000.00 19.20
## 2052 0 6425 3 3 15.99 43208.00 9.67
## 2053 1 20150 5 5 18.49 80000.00 9.24
## 2054 0 11250 3 1 8.39 40000.00 29.37
## 2055 0 21000 3 2 11.47 100000.00 13.79
## 2056 0 19000 5 2 11.67 109000.00 13.82
## 2057 0 10000 3 2 12.99 86000.00 16.59
## 2058 0 10000 3 3 14.99 140000.00 10.63
## 2059 1 23600 5 5 18.99 51000.00 25.74
## 2060 0 9600 3 1 7.99 129000.00 2.18
## 2061 0 17500 5 5 18.54 40000.00 34.02
## 2062 0 20000 3 1 5.31 107000.00 12.57
## 2063 1 4725 3 2 11.53 80000.00 23.50
## 2064 0 2100 3 4 16.55 72420.00 6.93
## 2065 0 8000 3 2 9.16 34000.00 9.74
## 2066 0 9600 3 1 7.99 45000.00 12.96
## 2067 0 7500 3 3 13.33 46000.00 12.73
## 2068 0 18700 5 5 20.49 47000.00 27.27
## 2069 0 13000 3 1 6.72 90000.00 28.41
## 2070 1 12000 5 4 18.25 62000.00 23.73
## 2071 0 15000 3 1 7.12 85000.00 15.49
## 2072 0 12000 3 1 8.90 65000.00 14.29
## 2073 1 6500 3 3 14.49 115000.00 25.28
## 2074 1 13000 3 2 9.49 45000.00 13.65
## 2075 0 15000 3 4 15.59 50000.00 30.51
## 2076 1 10000 5 3 13.23 41000.00 10.10
## 2077 0 3500 3 3 13.68 30000.00 8.68
## 2078 1 32000 3 4 18.25 132000.00 17.19
## 2079 1 32000 3 4 16.99 90000.00 11.60
## 2080 0 25000 3 2 9.75 113000.00 7.03
## 2081 0 26000 5 3 14.64 85000.00 13.89
## 2082 0 24800 5 3 14.99 120000.00 19.14
## 2083 0 10000 3 3 13.49 66000.00 14.53
## 2084 0 5000 3 1 5.32 68000.00 22.96
## 2085 0 35000 5 5 18.25 106000.00 22.84
## 2086 1 16200 5 5 26.30 70000.00 22.30
## 2087 0 24000 3 3 13.49 75000.00 17.41
## 2088 0 23000 3 1 8.19 74000.00 12.99
## 2089 0 6000 3 1 7.90 45000.00 9.73
## 2090 0 24000 3 2 9.99 150000.00 13.51
## 2091 0 20000 5 1 7.39 105000.00 7.24
## 2092 0 14000 3 2 8.39 72000.00 26.10
## 2093 0 7000 3 2 11.49 24000.00 3.75
## 2094 0 30000 3 4 16.59 67000.00 29.73
## 2095 0 13500 3 3 13.33 76000.00 17.94
## 2096 1 5000 3 4 16.29 12500.00 15.85
## 2097 0 4500 3 2 12.49 45000.00 28.00
## 2098 0 35000 3 2 11.49 90000.00 13.59
## 2099 0 9850 3 3 16.78 46100.00 15.83
## 2100 1 15000 3 2 13.11 45000.00 9.68
## 2101 0 21000 3 3 13.33 85000.00 24.98
## 2102 1 26600 5 5 19.99 70000.00 23.30
## 2103 1 23500 5 4 17.27 56000.00 15.07
## 2104 0 16000 5 3 13.66 52000.00 19.33
## 2105 1 4000 3 3 13.47 39996.00 8.55
## 2106 0 20000 3 3 13.99 105000.00 16.53
## 2107 0 15000 5 2 8.18 75000.00 15.07
## 2108 0 10000 3 2 10.78 110000.00 17.01
## 2109 0 7000 3 2 12.99 42000.00 8.35
## 2110 1 9375 3 4 15.61 38000.00 28.58
## 2111 0 19200 3 2 13.11 155000.00 13.46
## 2112 0 5600 3 3 15.31 50000.00 14.71
## 2113 0 14000 3 3 16.24 35000.00 28.81
## 2114 0 35000 5 2 13.11 125000.00 18.61
## 2115 0 7000 3 2 11.99 53000.00 10.98
## 2116 1 24000 5 4 15.61 75000.00 33.71
## 2117 0 21000 3 2 9.49 103000.00 14.06
## 2118 0 19625 3 4 21.49 110000.00 7.36
## 2119 0 12000 3 1 6.03 205000.00 0.94
## 2120 0 16000 5 4 18.99 73000.00 20.12
## 2121 0 20000 3 1 6.72 38592.00 20.30
## 2122 0 12875 3 1 7.89 50300.00 11.80
## 2123 0 15000 3 3 13.35 87000.00 33.34
## 2124 1 6000 3 3 13.33 70000.00 7.56
## 2125 0 12450 3 4 16.59 45000.00 31.44
## 2126 0 18000 3 4 17.57 95000.00 9.54
## 2127 1 12000 5 2 10.99 42000.00 14.97
## 2128 0 15000 3 1 5.32 95000.00 13.98
## 2129 0 3000 3 2 10.75 69996.00 7.01
## 2130 0 24000 5 2 10.65 200000.00 4.13
## 2131 0 19875 5 5 21.67 111000.00 15.77
## 2132 1 35000 3 3 15.05 96000.00 13.81
## 2133 1 10000 3 2 11.14 78500.00 12.76
## 2134 0 12000 5 3 13.59 90000.00 6.19
## 2135 1 25000 3 3 14.46 75000.00 18.62
## 2136 0 12000 5 4 17.57 107000.00 31.29
## 2137 0 20300 3 1 6.68 72000.00 12.97
## 2138 0 15000 5 1 7.91 117000.00 10.93
## 2139 1 12000 3 3 14.16 48500.00 5.07
## 2140 1 35000 3 4 17.57 300000.00 18.92
## 2141 0 5700 3 5 18.49 35000.00 24.98
## 2142 0 7575 3 3 12.69 30000.00 30.20
## 2143 0 11375 3 4 18.24 45000.00 15.47
## 2144 0 2500 3 4 16.29 9204.00 17.00
## 2145 0 22400 3 1 6.49 125000.00 31.74
## 2146 0 10000 3 2 11.49 52000.00 23.49
## 2147 0 8000 3 2 10.15 35100.00 21.37
## 2148 0 15000 3 2 13.11 50500.00 19.15
## 2149 1 12000 3 2 8.18 55172.00 22.80
## 2150 0 5725 3 3 12.62 146000.00 7.73
## 2151 0 12000 3 2 9.17 70000.00 11.18
## 2152 0 9000 3 1 7.62 52000.00 22.91
## 2153 1 2200 3 2 11.99 16000.00 26.48
## 2154 0 35000 5 6 23.83 110000.00 32.18
## 2155 0 4000 3 2 9.44 60000.00 16.32
## 2156 1 6000 3 3 12.79 40000.00 20.25
## 2157 0 2500 3 3 14.31 38000.00 39.67
## 2158 0 10000 3 2 9.17 40000.00 20.40
## 2159 0 24000 3 1 8.90 98000.00 21.82
## 2160 1 8000 3 2 8.24 52000.00 27.23
## 2161 0 20000 5 3 15.61 107876.00 19.97
## 2162 0 6000 3 2 9.17 43000.00 18.73
## 2163 0 11400 3 2 9.16 90000.00 12.44
## 2164 0 22000 5 3 12.99 125000.00 11.68
## 2165 1 16000 3 2 10.99 49000.00 8.38
## 2166 0 10000 3 1 5.32 164000.00 15.34
## 2167 0 10000 5 3 12.79 138000.00 14.05
## 2168 0 24800 3 2 11.99 92000.00 23.25
## 2169 0 10000 3 2 12.99 97138.00 18.06
## 2170 0 21000 5 3 14.08 8000.00 170.12
## 2171 1 24000 5 3 11.99 190000.00 10.38
## 2172 1 12800 5 5 22.45 45000.00 13.49
## 2173 0 5000 3 3 11.99 55000.00 19.53
## 2174 0 11900 3 5 20.75 35000.00 20.27
## 2175 0 13400 3 3 13.98 32000.00 26.15
## 2176 0 21000 3 1 7.26 85000.00 32.09
## 2177 0 4000 3 3 13.18 32000.00 30.68
## 2178 0 8000 3 3 14.65 35000.00 22.29
## 2179 0 20000 5 4 19.05 63000.00 29.11
## 2180 0 18000 5 3 16.29 45000.00 22.43
## 2181 0 25000 3 7 24.52 82000.00 5.59
## 2182 0 26575 5 5 18.25 70000.00 21.04
## 2183 0 12000 5 1 5.32 25000.00 28.47
## 2184 1 19500 3 4 15.61 63500.00 27.06
## 2185 0 12000 5 3 12.99 51000.00 31.04
## 2186 0 12000 5 3 14.65 62000.00 28.96
## 2187 1 9000 3 1 6.62 34320.00 25.91
## 2188 0 20000 5 4 17.09 113755.00 15.65
## 2189 0 18900 5 3 15.31 65000.00 21.36
## 2190 1 4000 3 4 15.62 30000.00 19.48
## 2191 0 5000 3 1 5.32 45500.00 11.72
## 2192 0 5000 3 2 11.49 34000.00 13.58
## 2193 1 14675 3 3 13.33 120000.00 22.86
## 2194 0 4000 3 2 10.42 40000.00 22.50
## 2195 0 5800 3 1 7.21 53000.00 27.13
## 2196 0 12000 5 2 11.99 56000.00 14.25
## 2197 1 30000 5 4 20.00 50000.00 43.34
## 2198 0 3500 3 2 9.80 45000.00 22.29
## 2199 0 4800 3 3 14.99 50000.00 26.09
## 2200 1 11000 5 3 15.31 48000.00 27.65
## 2201 0 13200 3 1 5.32 80000.00 13.05
## 2202 1 21000 5 3 13.99 54000.00 26.38
## 2203 0 25500 3 3 13.99 82000.00 33.83
## 2204 0 21000 3 1 6.49 120000.00 20.05
## 2205 0 21000 5 3 13.99 160000.00 8.63
## 2206 0 14000 5 2 9.17 52663.00 23.96
## 2207 0 17000 3 2 9.17 98000.00 11.16
## 2208 0 2400 3 5 22.45 227000.00 15.06
## 2209 0 5600 3 2 11.53 95000.00 9.61
## 2210 1 24000 5 4 16.29 88000.00 30.40
## 2211 0 20000 3 1 5.32 45000.00 8.40
## 2212 0 6000 3 2 11.49 48000.00 24.18
## 2213 0 6700 3 3 14.99 30000.00 21.52
## 2214 1 3000 3 4 18.24 28000.00 27.48
## 2215 1 18500 3 3 14.49 50000.00 27.89
## 2216 0 14000 3 1 7.89 118000.00 29.14
## 2217 0 5000 3 1 8.19 35000.00 17.39
## 2218 0 12000 3 1 7.69 61000.00 16.47
## 2219 0 12000 3 1 6.92 67000.00 17.20
## 2220 0 15000 3 1 6.39 40000.00 24.60
## 2221 0 21500 5 5 20.49 60000.00 22.72
## 2222 1 12000 5 4 19.05 65000.00 20.42
## 2223 0 10350 3 1 7.89 90000.00 13.39
## 2224 1 12000 3 3 12.99 50400.00 34.77
## 2225 1 21000 5 3 13.65 80000.00 17.22
## 2226 0 1500 3 2 11.63 44400.00 11.76
## 2227 1 18850 5 4 17.86 41000.00 38.88
## 2228 1 9600 3 3 12.69 55000.00 7.92
## 2229 0 4500 3 1 7.88 28800.00 15.42
## 2230 0 30000 5 4 18.99 71000.00 11.58
## 2231 1 30000 3 3 16.02 82000.00 22.16
## 2232 0 4000 3 1 5.32 32000.00 20.85
## 2233 0 7000 3 2 9.99 33720.00 23.70
## 2234 0 8000 5 2 10.37 25000.00 20.69
## 2235 0 20000 3 3 12.79 100000.00 16.76
## 2236 1 20400 5 3 14.65 68000.00 24.37
## 2237 0 16800 5 3 15.05 250000.00 10.42
## 2238 0 21000 3 1 6.49 50000.00 16.03
## 2239 0 8000 3 3 17.27 24000.00 13.55
## 2240 0 19875 3 2 11.53 75000.00 22.11
## 2241 1 2125 3 4 16.29 50000.00 14.13
## 2242 0 10000 3 2 9.17 89787.00 6.95
## 2243 0 35000 5 5 19.99 115000.00 21.72
## 2244 0 3000 3 3 12.79 31932.00 27.43
## 2245 0 5000 3 1 6.97 38000.00 12.16
## 2246 0 8000 3 3 12.99 84000.00 21.87
## 2247 0 10000 3 2 10.16 50000.00 13.08
## 2248 0 1500 3 1 7.51 30000.00 19.24
## 2249 0 13750 5 7 28.14 100000.00 20.98
## 2250 0 20000 3 1 6.24 78200.00 19.34
## 2251 1 19475 5 5 24.49 46402.00 25.63
## 2252 0 3400 3 3 12.69 43000.00 37.06
## 2253 0 7200 3 3 14.49 75000.00 8.34
## 2254 0 35000 3 3 13.49 98000.00 20.81
## 2255 0 8000 3 1 7.97 83430.00 22.69
## 2256 0 5000 3 2 9.99 96000.00 17.71
## 2257 0 6000 3 1 6.99 38840.00 18.40
## 2258 0 7200 3 3 14.98 17000.00 19.86
## 2259 0 14000 3 2 9.67 83000.00 15.18
## 2260 0 1000 3 1 5.31 31000.00 5.73
## 2261 0 7600 3 1 6.03 70920.00 3.76
## 2262 0 12000 3 4 19.03 71248.00 20.11
## 2263 0 13675 5 5 23.10 125000.00 17.07
## 2264 0 4950 3 4 16.99 28320.00 30.81
## 2265 0 11400 3 2 9.76 120000.00 11.41
## 2266 0 2500 3 2 9.80 99000.00 30.29
## 2267 1 8000 3 2 9.99 45000.00 17.23
## 2268 1 35000 5 3 13.99 85000.00 13.65
## 2269 0 10200 5 4 18.99 42000.00 12.17
## 2270 0 25000 5 4 20.39 41600.00 34.33
## 2271 0 5500 3 4 16.59 42000.00 34.06
## 2272 0 5600 3 3 13.33 40000.00 15.90
## 2273 0 12000 3 4 18.99 36000.00 20.27
## 2274 1 25000 5 4 18.06 155000.00 19.29
## 2275 1 7000 3 3 12.99 55000.00 20.45
## 2276 0 10800 3 4 16.99 100000.00 7.64
## 2277 1 12000 3 3 13.33 80000.00 18.17
## 2278 0 20000 3 2 11.99 14000.00 37.39
## 2279 1 7200 3 4 19.99 75000.00 34.53
## 2280 1 9200 3 2 8.67 58000.00 12.29
## 2281 0 3500 3 3 13.11 20000.00 17.58
## 2282 0 10600 3 4 17.57 185000.00 1.38
## 2283 1 9000 3 2 8.18 34840.00 9.09
## 2284 0 7200 3 2 13.05 25000.00 12.14
## 2285 0 7000 3 4 20.00 35000.00 38.48
## 2286 0 16000 5 4 21.45 66551.00 22.10
## 2287 1 21250 5 2 12.99 48000.00 31.40
## 2288 0 15200 3 5 16.35 42000.00 18.57
## 2289 0 9000 3 2 9.99 147500.00 11.52
## 2290 0 14000 3 1 7.99 45000.00 16.08
## 2291 0 5500 3 2 11.49 26000.00 22.95
## 2292 0 7000 3 2 9.17 53000.00 8.41
## 2293 0 16000 5 3 14.49 110000.00 16.17
## 2294 0 21000 5 4 17.57 100000.00 30.13
## 2295 0 30800 3 1 5.32 144000.00 17.43
## 2296 0 30000 3 1 7.97 300000.00 11.97
## 2297 0 3600 3 2 9.93 14928.00 11.33
## 2298 0 3000 3 1 7.99 97579.00 17.77
## 2299 1 6500 3 4 18.25 30000.00 12.28
## 2300 0 18000 3 2 11.49 66000.00 27.00
## 2301 1 14400 5 3 13.99 47500.00 29.71
## 2302 0 11000 5 5 19.52 33000.00 26.33
## 2303 0 18400 5 3 15.61 68000.00 17.21
## 2304 0 40000 3 2 9.75 135000.00 25.82
## 2305 1 24000 5 3 14.46 60000.00 24.28
## 2306 1 25000 3 3 13.59 100000.00 14.68
## 2307 0 23975 5 4 21.49 72000.00 10.72
## 2308 0 23000 3 1 6.03 57000.00 11.03
## 2309 0 6000 3 3 15.10 60000.00 24.08
## 2310 1 15000 3 3 15.31 100000.00 34.25
## 2311 1 32000 3 4 19.99 140000.00 25.42
## 2312 0 8000 3 2 10.99 42000.00 25.31
## 2313 1 5000 3 2 11.99 96000.00 15.41
## 2314 0 35000 5 3 12.69 158657.88 12.49
## 2315 0 35000 5 4 17.57 120000.00 10.13
## 2316 1 3500 3 3 14.72 24000.00 19.30
## 2317 0 8000 3 2 8.99 41000.00 16.51
## 2318 0 5000 3 3 13.33 45000.00 9.20
## 2319 0 4800 3 3 12.88 150000.00 4.77
## 2320 0 5000 3 3 12.69 76000.00 22.34
## 2321 0 18550 3 3 15.80 42000.00 30.88
## 2322 0 6000 3 1 6.03 125000.00 14.62
## 2323 0 21000 5 5 20.50 95000.00 15.22
## 2324 1 24000 3 6 18.30 160000.00 14.57
## 2325 0 10000 3 2 11.44 45000.00 29.44
## 2326 0 11200 3 3 15.59 70000.00 22.23
## 2327 0 4800 3 3 13.99 40000.00 20.85
## 2328 0 2800 3 4 17.99 44000.00 6.90
## 2329 0 25000 3 1 5.32 125000.00 6.66
## 2330 0 20000 3 2 12.99 95000.00 18.25
## 2331 0 7200 3 2 10.99 113000.00 17.07
## 2332 0 6000 3 2 8.24 50000.00 2.50
## 2333 0 7000 3 2 11.49 35000.00 32.82
## 2334 0 30900 3 5 23.32 72000.00 37.58
## 2335 0 22400 3 3 14.65 103000.00 17.31
## 2336 1 15275 5 3 15.80 85000.00 12.79
## 2337 0 1000 3 4 19.03 34320.00 15.94
## 2338 0 6000 3 4 17.14 33400.00 18.43
## 2339 0 6400 3 1 7.69 65000.00 7.26
## 2340 0 10000 5 3 14.99 45000.00 22.53
## 2341 0 3600 3 1 7.62 46551.00 8.91
## 2342 0 1000 3 5 26.77 40000.00 1.56
## 2343 0 12000 3 3 13.49 92000.00 22.46
## 2344 0 8400 3 2 9.93 38952.00 12.48
## 2345 0 14400 3 2 10.99 44000.00 32.43
## 2346 0 23450 5 7 30.79 21000.00 58.25
## 2347 0 5000 3 2 10.37 50500.00 19.20
## 2348 1 10800 5 4 21.49 56000.00 10.18
## 2349 0 10000 3 2 12.12 65000.00 26.90
## 2350 0 18000 3 1 6.39 102000.00 25.79
## 2351 0 29450 5 7 25.83 150000.00 9.38
## 2352 0 6000 3 2 9.70 39996.00 0.51
## 2353 0 12000 3 1 7.89 65000.00 23.35
## 2354 1 6000 3 1 7.90 51928.00 20.22
## 2355 0 8700 3 4 17.99 38000.00 3.03
## 2356 0 16000 5 3 12.99 42000.00 11.86
## 2357 0 4500 3 1 6.62 75000.00 15.33
## 2358 1 8625 3 4 17.86 24000.00 9.71
## 2359 0 8800 3 3 14.49 206000.00 16.89
## 2360 0 6500 3 3 13.49 21000.00 26.63
## 2361 0 16000 3 1 8.08 120000.00 13.80
## 2362 0 10000 5 4 18.24 55000.00 23.17
## 2363 0 15000 5 4 16.55 60200.00 26.57
## 2364 0 24000 3 3 12.29 70000.00 39.16
## 2365 0 21000 3 2 10.99 125000.00 15.41
## 2366 0 11000 5 3 11.99 65000.00 38.34
## 2367 0 5000 3 3 13.33 40000.00 23.67
## 2368 0 8750 3 1 7.12 39000.00 15.91
## 2369 0 22250 3 3 13.35 50000.00 24.96
## 2370 0 9450 3 1 8.90 35000.00 11.69
## 2371 0 35000 3 1 6.72 110000.00 27.42
## 2372 0 25000 3 3 16.01 120000.00 7.83
## 2373 0 10000 3 3 13.59 65427.00 37.56
## 2374 1 30000 3 3 12.29 95000.00 15.68
## 2375 1 20000 5 5 19.99 50000.00 36.92
## 2376 0 8500 3 1 8.39 50715.00 22.81
## 2377 1 12000 5 3 14.08 125000.00 22.67
## 2378 0 27000 5 5 19.19 220000.00 21.20
## 2379 0 18000 3 2 10.49 72000.00 14.20
## 2380 0 10000 5 3 13.06 150000.00 20.69
## 2381 0 14500 3 1 7.89 150000.00 8.66
## 2382 0 4500 3 5 21.49 30000.00 6.28
## 2383 1 10000 5 4 17.09 62000.00 17.98
## 2384 1 16000 5 5 22.40 72000.00 19.41
## 2385 0 18025 3 3 13.99 41000.00 24.39
## 2386 1 21000 5 5 21.97 120000.00 13.65
## 2387 0 28000 3 3 13.99 85000.00 22.01
## 2388 0 15000 3 4 18.49 40000.00 26.19
## 2389 1 15000 5 4 17.86 65000.00 35.23
## 2390 0 12450 3 4 18.99 50000.00 30.12
## 2391 0 6500 3 2 12.49 65000.00 27.66
## 2392 0 19200 3 2 9.17 57000.00 11.56
## 2393 0 5000 3 1 7.24 190000.00 9.51
## 2394 0 3600 3 3 13.99 43000.00 17.86
## 2395 0 18500 3 1 6.49 140000.00 29.27
## 2396 0 22750 5 4 16.99 57000.00 29.71
## 2397 1 20000 5 5 20.49 105000.00 11.26
## 2398 0 35000 3 3 13.99 150000.00 15.38
## 2399 1 25000 3 3 12.29 74000.00 27.63
## 2400 1 5000 3 2 11.44 120000.00 12.41
## 2401 0 29325 5 2 9.99 105000.00 26.36
## 2402 0 33600 5 3 12.62 120000.00 21.87
## 2403 0 9000 3 1 7.49 48000.00 33.10
## 2404 0 6000 3 1 6.03 97900.00 12.44
## 2405 0 35000 3 4 17.09 74000.00 31.63
## 2406 0 6000 3 2 10.78 49000.00 28.46
## 2407 0 15000 3 2 11.99 50000.00 20.98
## 2408 0 30000 5 5 20.99 80000.00 8.37
## 2409 0 8475 3 3 14.64 71000.00 23.82
## 2410 1 30000 5 5 20.75 68000.00 7.25
## 2411 0 2500 3 2 11.49 38250.00 30.53
## 2412 0 35000 3 4 16.99 90000.00 26.33
## 2413 0 18000 5 3 13.67 50000.00 14.11
## 2414 0 21600 3 2 12.12 68000.00 12.18
## 2415 0 33000 5 3 15.31 120000.00 28.52
## 2416 0 6025 3 2 9.75 55000.00 11.48
## 2417 0 12500 5 3 16.29 74000.00 23.17
## 2418 0 20000 3 2 9.99 49000.00 37.33
## 2419 0 35000 3 4 16.49 86000.00 31.20
## 2420 1 24000 3 2 8.99 130000.00 24.73
## 2421 0 6000 3 2 9.44 51000.00 24.36
## 2422 1 5600 3 2 10.74 90000.00 11.56
## 2423 1 10000 3 3 15.31 44000.00 25.45
## 2424 0 6000 3 2 8.18 96500.00 11.49
## 2425 0 10750 3 3 16.29 50000.00 26.30
## 2426 0 12000 3 4 18.75 98000.00 18.96
## 2427 0 33550 5 3 14.46 150000.00 18.08
## 2428 0 4800 3 3 13.99 25000.00 18.39
## 2429 0 14525 3 3 12.69 54000.00 10.76
## 2430 1 35000 5 6 30.65 110000.00 25.78
## 2431 0 20000 3 3 12.74 90000.00 1.15
## 2432 1 24500 5 6 23.33 72000.00 24.75
## 2433 0 28250 5 3 13.33 56520.00 23.12
## 2434 1 25000 5 3 13.67 111000.00 12.63
## 2435 0 18000 3 3 12.99 50000.00 20.31
## 2436 0 28975 5 4 19.22 63000.00 34.04
## 2437 0 20000 3 1 7.90 115000.00 5.17
## 2438 0 23500 3 2 11.36 78200.00 16.10
## 2439 0 16000 3 2 9.16 52000.00 27.53
## 2440 0 3000 3 4 17.86 62000.00 22.16
## 2441 1 4500 3 3 13.99 25000.00 24.05
## 2442 1 3700 3 4 19.20 60000.00 12.46
## 2443 0 12400 3 2 10.75 120000.00 2.53
## 2444 0 5000 3 1 7.91 40000.00 32.97
## 2445 0 22525 3 4 16.55 49000.00 23.63
## 2446 0 18900 3 3 11.99 45000.00 15.17
## 2447 0 10000 3 2 10.99 42000.00 18.08
## 2448 0 15000 3 2 14.09 95000.00 15.09
## 2449 0 13375 3 3 17.10 75000.00 25.42
## 2450 0 5000 3 2 8.18 53000.00 10.58
## 2451 0 12000 5 3 14.99 50000.00 17.88
## 2452 0 14000 5 1 8.39 90000.00 1.72
## 2453 0 23500 3 4 19.72 60000.00 24.34
## 2454 0 21000 3 2 10.99 197000.00 8.39
## 2455 0 28000 5 2 8.18 150000.00 31.54
## 2456 0 12000 5 3 12.69 38000.00 28.84
## 2457 1 32000 5 3 12.29 126000.00 23.93
## 2458 0 35000 5 6 22.45 90200.00 19.36
## 2459 0 17600 5 6 24.89 50000.00 19.44
## 2460 0 21000 3 3 11.99 145000.00 27.68
## 2461 1 20000 5 4 21.49 64248.00 22.42
## 2462 0 5000 3 3 14.65 58100.00 34.83
## 2463 0 25000 3 4 14.61 102456.00 17.76
## 2464 0 22000 3 2 12.49 60300.00 25.91
## 2465 0 16000 3 5 19.89 75000.00 40.66
## 2466 1 16000 5 2 10.99 117000.00 14.93
## 2467 0 2500 3 3 14.46 58700.00 7.99
## 2468 0 28000 3 2 10.15 95000.00 19.38
## 2469 0 12000 3 6 22.78 80659.00 34.53
## 2470 0 2800 3 5 22.35 50500.00 17.25
## 2471 0 20000 5 3 14.31 44000.00 27.09
## 2472 0 30000 5 4 19.99 89000.00 25.28
## 2473 0 11200 3 2 9.17 54000.00 22.31
## 2474 1 11125 3 4 18.25 31824.00 21.79
## 2475 0 1600 3 2 9.76 60000.00 7.26
## 2476 0 11200 5 3 13.35 80000.00 9.32
## 2477 0 18375 5 5 18.99 58600.00 32.99
## 2478 0 17500 3 2 10.99 50000.00 18.84
## 2479 0 15300 3 1 8.39 91000.00 0.40
## 2480 1 35000 5 3 15.05 140000.00 8.01
## 2481 0 10400 5 3 15.05 122000.00 15.73
## 2482 0 7050 3 3 12.99 39520.00 28.36
## 2483 0 15000 3 2 10.99 40000.00 23.31
## 2484 0 35000 3 2 10.99 124000.00 22.04
## 2485 0 16000 5 6 22.95 98126.00 12.20
## 2486 1 26400 5 7 23.91 52800.00 19.66
## 2487 1 12725 5 3 13.65 65000.00 13.08
## 2488 0 35000 3 2 11.67 150000.00 18.07
## 2489 0 20000 3 2 11.14 65000.00 20.16
## 2490 0 10500 3 2 11.99 37000.00 32.66
## 2491 0 7000 3 2 11.99 23700.00 7.95
## 2492 0 17000 3 1 7.69 58000.00 16.37
## 2493 0 21000 3 2 11.55 100000.00 25.38
## 2494 0 22250 5 6 25.28 106000.00 11.98
## 2495 0 13175 3 3 14.99 54000.00 26.62
## 2496 0 16000 5 2 13.53 40000.00 14.49
## 2497 0 2500 3 4 17.57 82000.00 25.71
## 2498 1 16000 5 5 21.48 110000.00 19.32
## 2499 0 15000 3 1 7.26 39000.00 21.78
## 2500 0 4000 3 2 11.49 24000.00 23.10
## 2501 0 20000 5 4 19.72 120000.00 21.21
## 2502 1 15000 5 3 13.99 50000.00 35.72
## 2503 0 8000 3 1 8.90 50000.00 29.86
## 2504 0 35000 5 4 16.99 283000.00 31.77
## 2505 0 21000 5 3 12.29 48000.00 18.73
## 2506 0 27000 3 4 16.55 130000.00 24.76
## 2507 0 5600 3 3 13.59 110000.00 15.76
## 2508 0 20000 3 1 7.90 120000.00 12.23
## 2509 0 7000 3 3 14.08 52000.00 12.42
## 2510 0 3600 3 1 6.62 50000.00 2.62
## 2511 1 2800 3 2 11.49 56000.00 5.62
## 2512 0 6000 3 2 10.99 70000.00 24.34
## 2513 0 19100 5 3 13.18 58000.00 33.66
## 2514 0 10000 3 4 17.77 69000.00 2.85
## 2515 0 8000 3 3 12.29 42000.00 20.66
## 2516 0 15000 3 2 11.99 50000.00 14.71
## 2517 0 3375 3 3 14.65 135000.00 4.37
## 2518 0 4800 3 3 14.79 61000.00 6.96
## 2519 0 8000 3 2 10.15 48000.00 4.30
## 2520 0 10000 3 2 10.25 35300.00 16.96
## 2521 0 16750 3 4 15.61 62000.00 16.86
## 2522 0 35000 5 3 13.66 220000.00 13.94
## 2523 1 5000 3 3 12.99 53000.00 10.10
## 2524 1 25000 3 4 17.57 98000.00 29.93
## 2525 0 25000 3 4 15.61 57000.00 24.48
## 2526 0 17325 5 5 21.00 97000.00 17.20
## 2527 0 33600 3 3 15.02 155200.00 24.37
## 2528 0 24875 3 3 13.67 70000.00 29.06
## 2529 0 30000 3 1 5.32 130000.00 14.84
## 2530 0 22250 3 2 11.55 50000.00 19.44
## 2531 0 9000 3 4 17.27 41000.00 18.53
## 2532 0 16800 3 3 13.99 75000.00 18.70
## 2533 0 10000 3 2 8.18 96000.00 11.49
## 2534 1 11225 3 2 9.17 50000.00 10.51
## 2535 0 4000 3 3 14.99 65000.00 8.37
## 2536 0 10000 3 3 13.98 40000.00 34.95
## 2537 1 25400 3 1 6.71 83000.00 18.02
## 2538 0 8000 3 2 8.18 60000.00 28.39
## 2539 0 16900 5 3 15.99 13000.00 58.91
## 2540 0 30000 3 3 14.46 127000.00 14.86
## 2541 0 2500 3 2 13.67 50892.00 24.43
## 2542 0 10000 3 2 8.18 56000.00 8.31
## 2543 0 8000 3 2 9.93 365000.00 18.96
## 2544 1 12000 5 5 20.20 98000.00 2.39
## 2545 0 20000 3 3 15.31 75412.00 19.76
## 2546 1 3000 3 4 18.99 29465.00 36.78
## 2547 0 35000 3 3 14.49 115000.00 22.15
## 2548 0 2400 3 4 19.42 60000.00 2.88
## 2549 0 15800 5 3 14.65 66000.00 30.94
## 2550 0 30000 3 3 16.24 85000.00 19.17
## 2551 1 16000 5 5 16.32 62500.00 23.48
## 2552 0 6900 3 5 26.30 33000.00 26.44
## 2553 1 13000 3 6 30.75 57000.00 16.38
## 2554 0 18000 5 3 11.99 112000.00 14.70
## 2555 1 12000 3 5 19.99 50000.00 38.17
## 2556 1 20000 5 5 17.99 140004.00 14.41
## 2557 0 16150 3 4 6.00 59246.00 30.84
## 2558 0 20000 3 3 12.88 62000.00 23.69
## 2559 0 7000 3 2 8.39 36000.00 6.57
## 2560 1 5400 3 3 15.99 68600.00 34.18
## 2561 0 10000 3 3 12.79 50000.00 14.79
## 2562 0 3000 3 1 7.29 50400.00 0.00
## 2563 1 35000 5 5 23.99 140000.00 27.61
## 2564 0 5000 3 3 15.31 25000.00 4.61
## 2565 0 14000 3 3 12.99 110000.00 16.53
## 2566 1 14000 5 2 8.18 70247.00 15.89
## 2567 0 12000 3 2 8.39 64000.00 24.60
## 2568 0 15000 3 2 11.44 95000.00 17.52
## 2569 0 30000 3 2 8.67 119000.00 15.80
## 2570 0 6000 3 5 21.00 38000.00 28.26
## 2571 1 15500 3 4 21.49 40000.00 33.36
## 2572 1 20000 3 4 17.27 80000.00 17.21
## 2573 0 1000 3 2 10.74 36400.00 18.20
## 2574 0 28100 3 4 16.49 69000.00 16.14
## 2575 0 22550 3 3 13.99 60000.00 26.92
## 2576 0 6400 3 2 12.49 30000.00 24.16
## 2577 1 15450 5 5 18.84 46000.00 8.95
## 2578 0 4600 3 5 18.25 60000.00 33.82
## 2579 0 7200 3 2 11.49 46000.00 31.07
## 2580 0 4000 3 3 12.59 92000.00 20.65
## 2581 1 10000 3 2 12.12 40000.00 19.50
## 2582 0 30200 3 6 30.75 75500.00 26.01
## 2583 0 5000 3 4 17.27 33000.00 11.24
## 2584 0 12000 3 1 5.32 95000.00 18.57
## 2585 0 35000 5 3 12.39 225000.00 32.15
## 2586 0 17050 3 5 18.99 47500.00 29.27
## 2587 1 8425 3 4 16.99 50000.00 9.80
## 2588 0 12000 3 2 11.99 81000.00 15.11
## 2589 0 9000 3 2 11.39 50000.00 26.76
## 2590 0 3000 3 1 6.89 39000.00 15.11
## 2591 0 8400 3 3 14.99 48672.00 23.40
## 2592 1 18250 5 4 16.89 30000.00 19.04
## 2593 0 35000 3 3 15.61 100000.00 16.10
## 2594 0 5000 3 4 16.99 95000.00 11.86
## 2595 0 11000 3 1 6.62 54000.00 17.84
## 2596 0 28000 3 3 12.39 110000.00 10.03
## 2597 0 18000 3 2 9.16 99000.00 19.61
## 2598 0 14000 3 3 14.47 200000.00 12.26
## 2599 0 30575 3 5 23.88 80000.00 20.13
## 2600 0 3600 3 1 7.91 36000.00 21.17
## 2601 0 10000 3 1 7.89 82500.00 11.11
## 2602 0 25000 3 2 10.42 100000.00 3.37
## 2603 0 28000 3 2 10.99 135495.00 12.47
## 2604 1 24000 3 4 19.05 108000.00 8.13
## 2605 0 5450 3 1 7.24 94000.00 15.13
## 2606 0 1475 3 3 14.99 60000.00 11.42
## 2607 1 6000 3 5 20.75 33000.00 43.53
## 2608 0 6000 3 3 13.35 45000.00 20.32
## 2609 1 6000 3 4 17.77 35000.00 28.05
## 2610 0 11000 5 5 19.52 85000.00 17.53
## 2611 0 16800 3 1 7.69 68000.00 23.39
## 2612 1 4000 3 5 19.99 41000.00 26.70
## 2613 0 14075 5 3 15.31 54000.00 13.60
## 2614 0 10000 3 2 11.47 77000.00 23.35
## 2615 0 10250 3 3 12.79 72000.00 13.15
## 2616 0 10000 3 4 19.03 24740.00 26.54
## 2617 0 10000 3 2 8.18 30224.40 10.68
## 2618 1 16800 5 3 12.29 50000.00 22.35
## 2619 0 15000 3 1 5.32 70000.00 21.22
## 2620 0 1000 3 3 15.99 30996.00 33.99
## 2621 0 10000 3 2 13.11 55000.00 11.99
## 2622 0 35000 5 3 14.17 110000.00 8.96
## 2623 0 18000 3 2 10.49 75000.00 15.01
## 2624 0 6000 3 2 9.91 62000.00 22.99
## 2625 0 9800 3 1 6.92 55000.00 5.02
## 2626 0 5000 3 1 5.32 40000.00 24.49
## 2627 0 21000 3 2 9.75 110000.00 9.36
## 2628 0 7800 3 2 13.11 30000.00 19.12
## 2629 0 23200 3 3 14.99 80000.00 14.37
## 2630 1 16800 5 2 9.99 66000.00 24.53
## 2631 0 5000 3 3 13.99 45000.00 23.47
## 2632 0 10000 3 2 8.39 40000.00 26.88
## 2633 0 18900 3 1 8.39 45000.00 29.65
## 2634 0 16000 3 2 9.75 70000.00 22.06
## 2635 0 8000 3 1 6.03 175000.00 19.20
## 2636 0 15750 3 4 15.61 70000.00 2.90
## 2637 0 5000 3 2 8.38 54000.00 32.33
## 2638 1 9075 3 3 11.99 22700.00 23.43
## 2639 0 9600 3 2 12.12 40000.00 16.74
## 2640 1 28000 3 2 11.48 140000.00 27.95
## 2641 1 15000 3 3 13.67 58000.00 30.17
## 2642 0 10000 3 2 11.39 65000.00 14.71
## 2643 1 12000 5 2 12.49 67600.00 21.94
## 2644 1 12000 5 4 17.86 60000.00 15.74
## 2645 0 19950 5 5 20.99 55650.00 21.26
## 2646 1 30800 5 4 18.99 290000.00 13.27
## 2647 0 5000 3 3 12.99 42640.00 27.24
## 2648 1 24000 3 4 17.57 150000.00 19.04
## 2649 0 2000 3 2 12.99 35000.00 28.46
## 2650 1 16000 3 2 10.99 55000.00 30.51
## 2651 0 21000 3 1 6.39 212916.00 12.94
## 2652 0 20000 3 1 7.69 86000.00 20.32
## 2653 0 20000 5 2 11.53 90000.00 30.91
## 2654 0 18000 3 1 7.62 90000.00 10.48
## 2655 0 12000 3 1 7.90 53500.00 17.24
## 2656 0 20800 5 4 15.61 50000.00 24.56
## 2657 0 14000 5 5 21.49 40000.00 31.17
## 2658 0 24000 5 4 19.99 38000.00 33.51
## 2659 0 5000 3 2 9.49 85000.00 21.19
## 2660 0 11125 5 4 19.97 57500.00 13.56
## 2661 1 10000 5 6 24.08 74000.00 27.44
## 2662 1 29175 5 4 19.72 65000.00 14.29
## 2663 0 12000 3 1 6.49 54700.00 16.45
## 2664 0 5000 3 5 21.00 83134.00 30.15
## 2665 1 14000 5 4 21.45 68000.00 16.43
## 2666 0 15000 3 2 8.18 113000.00 12.63
## 2667 0 5000 3 1 7.89 96000.00 7.80
## 2668 0 9600 3 2 12.49 65000.00 3.49
## 2669 0 4300 3 2 12.99 37041.36 32.56
## 2670 0 22000 5 2 12.99 119000.00 0.61
## 2671 0 7250 3 4 16.29 90000.00 6.59
## 2672 0 9650 3 7 30.89 168000.00 17.76
## 2673 0 5000 3 2 11.99 83000.00 24.57
## 2674 0 19200 5 1 6.92 150000.00 9.05
## 2675 1 30000 5 3 12.62 150000.00 6.71
## 2676 0 17425 3 4 21.49 72000.00 33.03
## 2677 0 12000 3 2 10.99 49000.00 15.11
## 2678 0 6500 3 3 13.49 95000.00 14.77
## 2679 0 11000 3 4 18.06 49000.00 4.75
## 2680 0 16000 3 1 6.03 120000.00 12.30
## 2681 0 20000 3 2 9.75 42000.00 20.66
## 2682 0 28000 3 1 7.49 184000.00 8.85
## 2683 0 5000 3 2 11.47 62577.00 26.61
## 2684 0 20000 3 4 16.99 78000.00 20.43
## 2685 1 16000 5 2 9.76 80000.00 3.77
## 2686 0 14500 3 1 6.03 60000.00 8.88
## 2687 1 16000 5 6 23.13 36000.00 38.27
## 2688 0 4000 3 1 6.08 62000.00 29.71
## 2689 0 5000 3 3 16.24 68800.00 16.05
## 2690 1 2100 3 2 10.75 85000.00 10.70
## 2691 1 18200 5 2 8.18 55000.00 8.25
## 2692 0 10000 3 4 19.52 54000.00 13.24
## 2693 0 10000 3 2 11.47 50000.00 9.03
## 2694 1 14000 3 2 9.17 114000.00 35.68
## 2695 0 8000 3 1 6.49 50000.00 3.41
## 2696 1 10000 3 5 24.85 45000.00 18.74
## 2697 0 27575 5 4 18.25 60000.00 18.46
## 2698 0 15925 5 6 23.13 65000.00 19.46
## 2699 0 25000 5 3 13.99 60000.00 14.58
## 2700 0 20000 3 3 12.69 60456.00 13.16
## 2701 1 25000 5 3 15.05 67000.00 27.01
## 2702 0 8900 3 3 16.29 50400.00 18.21
## 2703 1 3600 3 4 20.20 58000.00 10.63
## 2704 1 7850 3 3 13.67 25000.00 12.29
## 2705 0 7000 3 3 15.59 36000.00 24.90
## 2706 0 5000 3 2 10.42 37000.00 22.75
## 2707 0 4000 3 2 11.47 34000.00 26.61
## 2708 0 18200 3 2 10.16 57000.00 7.95
## 2709 0 11000 3 3 13.99 62000.00 32.77
## 2710 1 26000 3 2 11.44 72000.00 25.00
## 2711 1 20000 5 2 13.11 76000.00 18.29
## 2712 0 12000 3 1 7.26 121000.00 26.45
## 2713 0 3000 3 4 18.45 43000.00 25.73
## 2714 0 9000 3 4 18.49 84000.00 16.41
## 2715 0 13000 3 4 22.35 120000.00 10.40
## 2716 0 32000 5 3 15.05 90000.00 28.65
## 2717 0 18000 5 4 17.99 74000.00 29.01
## 2718 0 12000 3 2 9.17 52000.00 13.29
## 2719 0 13300 3 4 21.49 37000.00 31.37
## 2720 1 24000 5 5 24.49 55300.00 16.69
## 2721 0 7500 3 2 9.49 40000.00 25.63
## 2722 0 16000 3 1 6.03 67000.00 19.06
## 2723 0 34500 3 4 16.99 75000.00 16.53
## 2724 0 8000 3 2 10.49 160000.00 13.38
## 2725 0 15000 3 2 9.16 108500.00 8.83
## 2726 0 5600 3 3 13.49 59000.00 31.02
## 2727 0 15000 5 3 14.65 50000.00 20.24
## 2728 0 35000 5 4 16.29 220000.00 12.45
## 2729 0 20000 3 3 14.46 100000.00 20.73
## 2730 0 8000 3 4 19.99 28000.00 11.87
## 2731 0 20000 3 1 7.91 55000.00 7.16
## 2732 0 30000 3 3 15.99 150000.00 10.78
## 2733 0 2400 3 4 15.61 45000.00 28.43
## 2734 0 1000 3 3 15.61 110000.00 13.31
## 2735 0 21000 5 3 15.31 80000.00 23.78
## 2736 0 5000 3 2 10.99 59280.00 26.13
## 2737 0 16000 3 3 11.99 69000.00 16.90
## 2738 0 17175 3 3 14.85 102000.00 8.49
## 2739 0 20000 3 3 13.06 130000.00 16.36
## 2740 0 8000 3 3 12.39 120000.00 7.60
## 2741 1 2275 3 2 10.99 26000.00 30.06
## 2742 1 10000 3 2 11.49 93000.00 12.12
## 2743 0 7700 3 3 14.49 32000.00 15.72
## 2744 0 10000 3 2 11.47 90000.00 12.08
## 2745 0 5000 3 6 23.13 60000.00 9.94
## 2746 0 7800 3 2 10.64 60000.00 11.44
## 2747 0 14000 3 2 10.99 72000.00 24.08
## 2748 0 25000 3 1 7.12 140000.00 10.74
## 2749 0 19925 5 2 10.15 52400.00 9.09
## 2750 1 24000 3 1 8.90 100000.00 7.85
## 2751 0 1100 3 3 11.99 30000.00 28.80
## 2752 0 18575 3 1 7.97 98000.00 34.22
## 2753 0 10000 3 3 12.99 72000.00 8.62
## 2754 0 3000 3 1 7.90 80000.00 28.20
## 2755 0 20000 3 1 7.90 88224.00 8.15
## 2756 0 10500 3 2 10.91 71300.00 21.15
## 2757 0 7225 3 2 10.99 38000.00 20.21
## 2758 0 32000 3 2 11.53 110000.00 13.33
## 2759 0 20000 3 2 10.99 72000.00 25.18
## 2760 0 30000 3 1 6.89 95000.00 10.31
## 2761 0 6000 3 3 14.99 90000.00 33.41
## 2762 1 35000 5 5 23.99 89000.00 24.15
## 2763 0 16000 3 3 15.99 192000.00 9.17
## 2764 0 21000 3 1 7.69 120000.00 10.83
## 2765 0 5000 3 1 8.19 60000.00 18.42
## 2766 0 12000 3 2 9.75 65218.00 4.67
## 2767 0 24000 3 1 6.24 75000.00 23.43
## 2768 0 16000 3 2 10.99 52000.00 21.28
## 2769 0 7200 3 2 9.49 103000.00 3.33
## 2770 0 14550 3 3 14.33 62000.00 10.01
## 2771 1 11200 5 3 15.05 53300.00 16.98
## 2772 0 9600 3 2 9.17 90000.00 20.24
## 2773 0 19200 3 3 12.29 105000.00 19.40
## 2774 0 5000 3 2 11.47 38000.00 25.08
## 2775 0 15000 5 2 10.99 60000.00 20.96
## 2776 0 30000 3 2 8.18 105000.00 11.61
## 2777 0 7000 3 2 8.67 67000.00 13.16
## 2778 0 20000 3 2 9.93 80000.00 20.04
## 2779 0 4500 3 1 7.21 40000.00 11.76
## 2780 0 15000 3 1 8.39 125000.00 18.55
## 2781 1 8000 3 2 13.05 25000.00 28.51
## 2782 0 10600 3 2 12.12 47000.00 24.05
## 2783 0 12000 3 4 18.25 85000.00 8.26
## 2784 0 10000 3 3 15.88 65000.00 9.30
## 2785 0 12000 5 3 14.33 74000.00 11.64
## 2786 1 28100 5 3 16.78 98000.00 20.95
## 2787 0 2800 3 3 12.74 39200.00 11.79
## 2788 0 10725 5 3 13.65 87000.00 20.15
## 2789 1 16800 5 3 16.02 67000.00 10.76
## 2790 0 14000 3 1 6.62 84948.00 15.09
## 2791 0 1200 3 3 13.49 30000.00 21.76
## 2792 1 35000 3 2 10.99 140000.00 21.92
## 2793 0 16000 3 1 6.24 50000.00 20.79
## 2794 0 10600 5 3 13.49 60000.00 10.75
## 2795 0 9000 3 2 10.15 52000.00 6.49
## 2796 0 36000 3 1 7.49 83000.00 15.60
## 2797 0 20000 5 4 17.57 99000.00 23.64
## 2798 0 21100 3 5 24.49 55580.00 32.33
## 2799 0 5975 3 1 7.49 25000.00 31.16
## 2800 0 6000 3 2 9.17 42000.00 8.69
## 2801 0 28000 5 1 7.89 134000.00 22.97
## 2802 0 14000 3 2 10.99 130000.00 5.74
## 2803 0 34800 5 2 8.39 72000.00 33.63
## 2804 0 11025 5 4 17.57 24000.00 34.60
## 2805 0 34725 5 6 22.99 95000.00 14.96
## 2806 0 6000 3 1 7.49 110000.00 18.80
## 2807 0 21000 3 4 20.00 85000.00 4.31
## 2808 0 5600 3 1 6.99 50000.00 15.82
## 2809 0 19500 3 2 9.17 65000.00 23.73
## 2810 0 9000 3 2 11.99 60000.00 23.90
## 2811 0 5000 3 4 20.00 77000.00 19.98
## 2812 1 11550 3 3 13.35 55000.00 22.93
## 2813 0 14000 3 1 7.35 53000.00 10.19
## 2814 1 6025 3 3 13.33 49000.00 33.01
## 2815 0 21000 3 1 5.32 91500.00 6.56
## 2816 0 15000 3 2 10.78 108000.00 12.67
## 2817 0 10000 5 6 28.72 24000.00 23.05
## 2818 0 30000 3 3 12.62 133000.00 17.17
## 2819 0 10000 3 3 16.01 21980.00 29.06
## 2820 1 30000 5 3 13.99 68000.00 20.84
## 2821 0 10500 5 3 14.31 107000.00 6.10
## 2822 0 30000 5 5 18.25 113000.00 18.85
## 2823 0 8500 3 2 8.67 60000.00 5.14
## 2824 0 35000 3 1 7.84 200000.00 11.77
## 2825 1 4100 3 6 23.43 26000.00 17.96
## 2826 0 8000 3 2 9.49 27840.00 14.78
## 2827 0 15875 3 5 18.99 35100.00 20.10
## 2828 1 3000 3 4 18.99 105000.00 27.01
## 2829 0 4500 3 2 14.09 17000.00 10.94
## 2830 0 23000 3 1 7.97 160000.00 38.50
## 2831 0 12000 3 2 10.99 45000.00 13.13
## 2832 0 21450 5 6 23.43 76400.00 11.50
## 2833 0 19750 3 2 11.44 90116.00 29.14
## 2834 0 28000 5 3 14.65 145000.00 10.16
## 2835 0 18000 3 3 14.99 65000.00 19.92
## 2836 0 16000 3 2 11.47 73000.00 19.37
## 2837 0 25000 3 2 10.91 76000.00 7.64
## 2838 0 18000 5 5 21.98 60000.00 19.96
## 2839 0 25000 3 2 9.17 105000.00 16.26
## 2840 0 22000 5 3 15.59 97000.00 13.76
## 2841 1 10000 5 4 16.59 34572.00 20.31
## 2842 0 35000 3 3 13.33 98000.00 21.43
## 2843 0 4100 3 2 11.49 58240.00 16.40
## 2844 1 9000 3 3 13.99 40000.00 30.36
## 2845 0 11200 5 1 7.99 51000.00 19.62
## 2846 0 21650 3 4 17.57 43300.00 33.48
## 2847 0 20000 5 2 9.44 96660.00 13.98
## 2848 0 30000 5 3 12.99 210000.00 20.50
## 2849 1 16800 5 2 11.44 82000.00 28.08
## 2850 0 18400 3 4 15.61 63000.00 30.19
## 2851 0 8000 3 2 11.67 80714.00 34.39
## 2852 0 30000 3 1 7.99 180000.00 21.46
## 2853 0 18000 5 2 9.17 45094.00 21.93
## 2854 0 8500 3 2 9.16 35000.00 32.31
## 2855 0 11000 3 2 11.44 52000.00 16.92
## 2856 0 20000 3 1 7.69 126000.00 15.34
## 2857 1 10000 3 4 17.57 47000.00 18.84
## 2858 0 7500 3 1 6.24 28000.00 23.75
## 2859 1 7200 3 3 14.99 53000.00 34.69
## 2860 0 20000 3 2 13.67 85000.00 16.79
## 2861 0 18000 5 2 12.99 70000.00 17.21
## 2862 0 27200 5 5 25.49 71000.00 22.68
## 2863 0 7000 3 4 17.77 40000.00 32.25
## 2864 0 15000 5 5 23.99 53376.00 29.32
## 2865 0 9000 3 3 13.44 60000.00 18.50
## 2866 1 14000 5 6 29.99 50000.00 18.02
## 2867 0 16000 5 1 6.72 58000.00 17.46
## 2868 0 5400 3 2 10.91 52000.00 20.24
## 2869 1 14975 5 4 16.99 300000.00 3.33
## 2870 0 15000 3 3 12.39 50000.00 25.44
## 2871 0 6000 3 3 15.02 30000.00 25.60
## 2872 0 20000 3 3 14.33 40000.00 28.89
## 2873 0 10000 3 3 12.74 40000.00 8.52
## 2874 1 11675 3 3 12.59 150000.00 4.18
## 2875 0 8000 3 3 13.68 31000.00 17.57
## 2876 0 16000 3 1 5.32 150000.00 15.79
## 2877 0 16000 5 3 14.47 90000.00 8.84
## 2878 0 12000 5 2 9.75 45000.00 10.85
## 2879 0 9600 3 1 5.32 51000.00 11.62
## 2880 0 19200 3 1 6.99 80000.00 26.93
## 2881 1 16000 3 2 10.99 77327.00 18.50
## 2882 1 10000 5 4 17.57 146000.00 13.91
## 2883 0 24000 5 3 14.99 66700.00 19.90
## 2884 0 24000 3 1 8.90 67000.00 12.84
## 2885 0 12000 3 1 6.89 30000.00 23.24
## 2886 0 5000 3 2 11.53 38000.00 10.36
## 2887 0 7000 3 2 9.99 80000.00 11.60
## 2888 0 20000 5 3 14.65 90000.00 15.36
## 2889 0 7200 3 4 17.77 73250.00 7.14
## 2890 0 9200 3 2 10.64 65000.00 27.43
## 2891 0 25500 5 7 24.33 51000.00 23.81
## 2892 1 3000 3 2 10.99 57000.00 13.73
## 2893 0 14350 3 5 18.99 32000.00 37.85
## 2894 1 15000 3 3 15.31 68720.00 20.55
## 2895 0 7500 3 3 12.29 52745.00 25.00
## 2896 0 4550 3 2 9.99 43000.00 18.59
## 2897 0 4000 3 1 6.08 40000.00 0.52
## 2898 0 6000 3 2 10.99 66000.00 15.76
## 2899 0 25000 5 4 21.49 101000.00 20.82
## 2900 0 13000 3 4 18.99 52000.00 33.14
## 2901 0 15000 3 3 12.05 60000.00 10.77
## 2902 0 4500 3 4 17.57 33600.00 27.96
## 2903 0 15000 3 3 16.20 75000.00 9.81
## 2904 0 7200 3 2 10.08 60000.00 16.30
## 2905 0 32000 3 4 20.00 103000.00 27.41
## 2906 0 16000 3 3 12.74 137280.00 10.87
## 2907 0 10000 3 3 13.33 45000.00 28.53
## 2908 1 10650 3 2 9.17 70000.00 20.33
## 2909 1 12000 5 4 16.29 60000.00 24.75
## 2910 0 10000 3 3 13.98 50000.00 33.46
## 2911 0 28000 3 1 7.24 140000.00 20.35
## 2912 0 12000 3 1 7.99 152000.00 20.54
## 2913 0 23000 3 1 7.35 135000.00 24.03
## 2914 0 14000 5 3 13.65 88000.00 19.27
## 2915 0 24000 3 2 10.64 125000.00 16.78
## 2916 0 35000 5 4 21.49 128082.00 15.56
## 2917 0 8300 5 3 12.99 53000.00 10.65
## 2918 0 2100 3 3 14.99 52500.00 19.82
## 2919 0 19200 5 5 25.81 37000.00 28.67
## 2920 0 24000 5 5 25.82 55000.00 26.53
## 2921 0 12250 3 4 18.25 35000.00 32.20
## 2922 0 7075 3 3 14.99 65000.00 10.76
## 2923 0 2000 3 4 17.57 30000.00 39.22
## 2924 1 5975 3 6 24.50 28000.00 22.80
## 2925 0 12000 3 3 13.33 36000.00 31.37
## 2926 1 20000 5 6 26.49 75000.00 13.44
## 2927 0 9600 3 1 6.99 80000.00 4.25
## 2928 0 2500 3 3 12.74 37000.00 0.81
## 2929 0 3125 3 4 16.49 57200.00 21.09
## 2930 0 5000 3 2 8.99 46000.00 24.33
## 2931 1 9000 3 4 17.09 36000.00 34.77
## 2932 0 3600 3 3 15.96 94450.00 21.79
## 2933 0 8400 3 3 13.33 130000.00 7.05
## 2934 0 20000 3 1 6.97 125000.00 15.63
## 2935 0 16000 3 3 13.49 70000.00 16.53
## 2936 0 8000 3 2 9.44 176000.00 12.57
## 2937 0 15000 3 1 6.49 75600.00 18.05
## 2938 0 33200 5 3 13.65 97500.00 22.71
## 2939 0 24000 5 3 11.99 55000.00 12.66
## 2940 0 30000 5 6 23.83 170000.00 29.03
## 2941 0 35000 5 3 16.29 145000.00 13.36
## 2942 0 27275 3 1 7.49 68300.00 28.85
## 2943 0 28000 3 1 6.89 150000.00 18.05
## 2944 0 5600 3 1 6.99 160000.00 5.94
## 2945 0 9000 3 3 14.99 65000.00 17.04
## 2946 0 16000 3 1 6.03 160000.00 13.07
## 2947 0 17025 5 4 17.86 53000.00 39.24
## 2948 0 14000 3 2 13.11 88000.00 18.19
## 2949 0 7500 3 1 8.32 50000.00 2.42
## 2950 0 28000 3 1 6.89 100000.00 19.93
## 2951 0 12000 3 3 17.10 60000.00 12.64
## 2952 0 5000 3 3 13.33 45000.00 24.18
## 2953 0 2000 3 3 13.66 17520.00 8.70
## 2954 0 7200 3 1 6.39 55800.00 26.56
## 2955 0 24000 3 3 12.74 80000.00 29.97
## 2956 1 35000 5 5 22.45 100000.00 12.50
## 2957 0 3600 3 3 13.35 55000.00 21.08
## 2958 0 9975 3 3 12.99 72000.00 3.15
## 2959 0 15000 3 3 12.74 100000.00 27.79
## 2960 0 7500 3 3 12.69 45000.00 29.61
## 2961 0 10000 3 2 10.78 55000.00 8.66
## 2962 1 8000 3 3 14.49 43000.00 34.83
## 2963 1 2500 3 3 12.69 20000.00 35.59
## 2964 0 9000 3 2 9.93 51000.00 16.82
## 2965 0 9000 3 2 11.53 110000.00 5.27
## 2966 0 12000 5 3 15.31 35000.00 21.57
## 2967 0 8000 3 3 13.98 170000.00 5.71
## 2968 0 25000 3 1 6.68 224000.00 14.26
## 2969 0 16000 3 2 10.99 150000.00 12.46
## 2970 0 18000 5 5 19.52 110000.00 7.39
## 2971 0 15000 5 4 16.99 50000.00 12.55
## 2972 0 36000 5 5 24.85 96000.00 23.98
## 2973 1 20400 3 3 14.99 65000.00 17.74
## 2974 0 6075 3 2 9.71 22000.00 18.38
## 2975 0 19750 5 3 14.99 44000.00 16.23
## 2976 0 1800 3 2 10.78 65000.00 21.73
## 2977 0 18225 5 5 19.99 37200.00 20.26
## 2978 0 2300 3 3 15.31 75000.00 10.45
## 2979 0 35000 3 4 16.29 159000.00 4.54
## 2980 0 15600 5 5 22.39 118450.00 14.46
## 2981 0 5000 3 2 8.99 127000.00 9.45
## 2982 0 4800 3 3 14.65 46600.00 36.70
## 2983 1 8650 3 4 17.57 35000.00 25.75
## 2984 1 20000 3 5 23.99 54000.00 28.98
## 2985 0 6975 3 3 13.35 20000.00 23.75
## 2986 0 7000 3 1 5.32 65000.00 16.62
## 2987 0 3500 3 2 8.38 95000.00 23.27
## 2988 0 15000 3 2 13.11 73450.00 22.82
## 2989 0 3000 3 4 19.52 55000.00 10.32
## 2990 0 30000 3 3 11.99 112712.00 21.56
## 2991 0 15500 5 3 14.65 90500.00 12.69
## 2992 0 6225 3 3 13.65 48000.00 7.45
## 2993 1 35000 3 4 17.56 93000.00 13.59
## 2994 0 15000 3 1 6.39 109000.00 29.47
## 2995 0 8000 3 3 12.39 20500.00 23.36
## 2996 0 16600 5 4 17.99 110000.00 7.53
## 2997 0 5000 3 2 9.75 50000.00 10.25
## 2998 1 18000 5 2 10.75 175000.00 23.97
## 2999 0 15000 3 2 10.15 80000.00 20.03
## 3000 0 6000 3 2 11.99 45000.00 24.40
## 3001 1 17625 3 3 15.61 68000.00 20.79
## 3002 0 2400 3 2 10.71 36000.00 15.20
## 3003 0 25000 5 2 11.14 70000.00 21.39
## 3004 1 12225 5 6 21.99 70000.00 33.31
## 3005 1 5000 3 3 12.29 42000.00 15.54
## 3006 0 5600 3 2 9.80 90000.00 28.40
## 3007 1 17500 3 4 18.55 70000.00 34.07
## 3008 0 6000 3 4 19.47 68000.00 5.93
## 3009 0 7950 3 4 16.29 75000.00 6.22
## 3010 0 6000 3 3 13.49 50000.00 23.86
## 3011 0 17000 5 3 15.59 50000.00 16.54
## 3012 0 12450 3 1 6.03 42000.00 18.71
## 3013 1 10200 5 5 18.25 30000.00 29.65
## 3014 0 10000 3 1 7.89 66000.00 15.27
## 3015 0 18000 3 1 7.69 82500.00 28.46
## 3016 0 8750 3 3 14.49 70000.00 7.34
## 3017 0 8000 3 3 13.98 65000.00 15.92
## 3018 0 5400 3 2 9.99 19000.00 17.57
## 3019 0 11200 3 1 7.35 64000.00 8.68
## 3020 0 9000 3 2 8.39 52000.00 19.76
## 3021 1 14000 5 4 17.86 67000.00 24.27
## 3022 0 25000 3 4 17.57 75000.00 19.78
## 3023 0 12000 3 4 16.99 130000.00 19.23
## 3024 0 12000 5 4 18.99 110000.00 29.49
## 3025 0 2500 3 3 13.98 42000.00 4.86
## 3026 0 5000 3 2 10.99 17542.00 14.72
## 3027 0 35000 3 5 20.80 85000.00 29.01
## 3028 0 10000 3 2 10.91 33000.00 11.85
## 3029 0 7200 3 2 11.99 82000.00 29.46
## 3030 1 6000 3 3 16.02 82000.00 19.24
## 3031 0 12000 3 1 7.49 60000.00 4.82
## 3032 0 5000 3 2 13.11 82000.00 7.67
## 3033 0 7000 3 3 12.74 45000.00 7.20
## 3034 0 9000 3 1 6.24 47000.00 27.45
## 3035 0 19000 3 4 18.25 38000.00 38.64
## 3036 0 8025 3 3 13.99 80000.00 21.59
## 3037 1 12000 5 5 19.19 60000.00 20.74
## 3038 0 35000 5 2 9.49 450000.00 12.67
## 3039 0 14000 3 3 13.35 92000.00 7.62
## 3040 0 17600 5 3 12.74 67000.00 18.22
## 3041 1 23500 3 2 11.53 47000.00 19.99
## 3042 0 40000 5 2 12.73 130000.00 13.79
## 3043 0 35000 3 2 11.49 503000.00 3.55
## 3044 0 12000 3 2 9.99 43000.00 27.80
## 3045 0 21000 3 2 9.17 80000.00 23.42
## 3046 0 24000 3 1 7.89 82000.00 23.70
## 3047 0 7500 3 1 5.32 120000.00 10.43
## 3048 0 15000 3 4 16.55 77000.00 8.46
## 3049 0 15000 3 2 11.49 55000.00 15.60
## 3050 0 8000 3 2 10.91 72000.00 8.43
## 3051 0 25000 3 1 7.49 231000.00 13.31
## 3052 0 8400 3 2 9.16 22500.00 12.49
## 3053 0 35000 5 4 18.25 120000.00 34.76
## 3054 0 6500 3 3 13.49 75000.00 24.59
## 3055 0 11850 3 3 13.33 76000.00 15.81
## 3056 0 4075 3 3 15.05 45500.00 12.71
## 3057 0 3500 3 2 11.99 66000.00 8.19
## 3058 0 22000 3 1 6.62 147665.00 17.65
## 3059 0 8000 3 4 18.99 67000.00 42.99
## 3060 0 14000 5 2 10.49 150000.00 15.30
## 3061 0 13500 3 1 7.89 80000.00 9.59
## 3062 1 15000 5 4 16.99 56000.00 25.80
## 3063 0 30000 5 5 20.20 88000.00 31.41
## 3064 1 15375 3 2 11.49 34956.00 18.57
## 3065 0 31050 3 3 14.99 74275.38 28.91
## 3066 0 18000 3 2 10.64 88000.00 14.56
## 3067 0 30900 5 5 21.18 98000.00 25.99
## 3068 0 12700 3 2 9.67 56542.00 28.92
## 3069 0 8000 3 2 11.67 65000.00 11.08
## 3070 1 11000 5 3 13.66 43000.00 5.58
## 3071 0 15000 3 1 7.26 75000.00 8.61
## 3072 0 11200 3 2 11.48 62000.00 14.32
## 3073 0 18000 5 3 16.29 93000.00 16.61
## 3074 0 29975 5 2 10.49 225000.00 16.81
## 3075 0 25000 3 2 12.99 220000.00 12.42
## 3076 0 27500 5 3 14.49 115000.00 14.16
## 3077 0 3500 3 1 6.49 39000.00 0.39
## 3078 1 25850 5 2 11.99 180000.00 20.07
## 3079 0 7925 3 4 17.86 67000.00 1.52
## 3080 0 5000 3 3 14.65 39000.00 35.66
## 3081 0 3500 3 2 11.49 24000.00 9.60
## 3082 0 10000 3 4 18.55 42000.00 22.69
## 3083 0 18150 3 3 12.68 88000.00 17.52
## 3084 0 15000 5 3 14.99 40000.00 28.17
## 3085 0 18825 5 5 18.84 41000.00 29.60
## 3086 0 16800 3 4 16.55 40000.00 33.57
## 3087 0 12000 3 2 11.99 50000.00 16.80
## 3088 0 23050 3 2 11.67 81363.00 15.28
## 3089 0 16000 5 3 15.88 68000.00 8.72
## 3090 1 3000 3 4 15.99 35000.00 6.28
## 3091 0 15000 3 1 7.89 61000.00 26.46
## 3092 0 35000 3 1 7.49 123760.00 18.97
## 3093 1 8000 3 2 10.99 95000.00 11.86
## 3094 0 2100 3 2 11.47 44928.00 9.16
## 3095 1 21600 5 3 14.49 92000.00 21.12
## 3096 0 25000 3 2 9.99 56000.00 23.90
## 3097 0 5000 3 1 8.90 58000.00 0.62
## 3098 0 5000 3 2 11.47 30000.00 22.20
## 3099 1 20000 5 5 19.99 67000.00 27.82
## 3100 0 8100 3 2 9.99 43000.00 8.23
## 3101 0 13500 5 4 15.61 55984.00 24.42
## 3102 0 12000 3 1 7.49 56156.00 24.62
## 3103 1 20000 3 1 7.69 54000.00 22.62
## 3104 0 5000 3 1 7.89 82000.00 19.77
## 3105 1 5000 3 3 13.99 50000.00 9.65
## 3106 0 35000 5 6 21.28 99000.00 23.73
## 3107 0 12000 3 3 13.35 82000.00 32.83
## 3108 1 11325 3 1 7.90 36000.00 28.99
## 3109 0 12000 5 4 19.05 82000.00 19.74
## 3110 0 11000 3 2 10.08 115000.00 15.14
## 3111 1 30800 5 3 14.49 123000.00 15.52
## 3112 0 16000 5 6 30.49 64000.00 14.93
## 3113 0 11000 3 2 9.17 40000.00 24.36
## 3114 0 22500 3 1 8.39 65000.00 28.60
## 3115 0 6000 3 4 18.99 70000.00 26.83
## 3116 1 9000 3 2 10.41 110000.00 4.31
## 3117 1 25975 3 3 13.99 51998.00 29.96
## 3118 0 18000 5 4 17.86 56000.00 11.40
## 3119 0 17125 5 2 11.44 60000.00 29.46
## 3120 1 10000 3 1 7.89 65000.00 20.00
## 3121 0 12000 3 1 8.90 90000.00 12.87
## 3122 0 9600 3 3 12.39 56000.00 19.64
## 3123 0 12000 3 2 9.49 130000.00 9.98
## 3124 1 24000 3 2 11.14 132000.00 18.39
## 3125 0 15000 3 2 9.17 80000.00 14.96
## 3126 0 15000 5 2 11.67 42000.00 24.74
## 3127 0 12000 3 2 11.14 45000.00 19.79
## 3128 0 2525 3 3 13.59 50000.00 1.80
## 3129 0 19000 3 1 8.39 55700.00 21.62
## 3130 0 8500 3 4 17.27 47346.66 12.04
## 3131 1 35000 5 5 26.77 43000.00 14.84
## 3132 0 10000 3 3 12.39 60000.00 10.32
## 3133 0 17600 5 4 16.99 76650.00 20.95
## 3134 0 6000 3 2 9.99 72000.00 7.88
## 3135 0 11000 3 4 21.45 50000.00 32.01
## 3136 1 10000 5 2 9.75 90000.00 14.60
## 3137 0 16000 5 2 11.47 110000.00 16.39
## 3138 1 30000 5 3 12.99 96000.00 5.63
## 3139 0 20000 3 1 5.32 100000.00 12.93
## 3140 0 1725 3 4 18.55 26000.00 17.63
## 3141 0 13350 3 4 18.94 29965.32 32.88
## 3142 0 7200 3 3 13.66 50000.00 31.20
## 3143 0 29700 5 4 18.25 62000.00 24.97
## 3144 0 12000 3 2 9.58 45760.00 18.49
## 3145 1 35000 5 4 17.86 175000.00 30.75
## 3146 0 9000 3 2 12.49 71000.00 30.92
## 3147 1 22750 5 6 24.08 60000.00 27.62
## 3148 0 8000 3 1 5.32 83000.00 17.41
## 3149 1 9600 3 4 18.49 36000.00 26.23
## 3150 0 7625 3 3 14.46 78000.00 4.34
## 3151 0 15000 3 1 7.90 42000.00 18.37
## 3152 0 11500 5 5 21.48 118000.00 12.20
## 3153 0 12000 3 1 6.24 58000.00 12.85
## 3154 0 16800 5 4 21.49 35000.00 31.10
## 3155 0 10800 5 3 14.64 42000.00 22.60
## 3156 0 5000 3 1 8.19 51250.00 22.11
## 3157 0 24000 3 2 11.99 59300.00 12.18
## 3158 0 8000 3 2 11.44 58000.00 16.44
## 3159 0 15000 5 2 11.67 51000.00 20.92
## 3160 0 7700 3 2 10.56 45000.00 32.99
## 3161 1 14000 5 6 23.13 52000.00 44.31
## 3162 0 12000 5 3 15.31 60000.00 7.76
## 3163 0 10800 5 3 15.31 101000.00 5.80
## 3164 0 12000 3 1 7.26 55000.00 9.27
## 3165 0 5000 3 2 10.15 65000.00 15.27
## 3166 0 20000 3 2 8.99 67000.00 8.85
## 3167 1 30000 5 6 28.72 103000.00 16.89
## 3168 1 22000 3 2 11.44 65000.00 14.38
## 3169 0 15000 3 2 11.49 65000.00 26.57
## 3170 0 12000 3 2 11.39 115000.00 14.06
## 3171 0 5000 3 1 6.03 60000.00 25.40
## 3172 0 1000 3 2 11.53 37000.00 26.53
## 3173 0 7200 3 2 12.49 40000.00 15.72
## 3174 0 25000 3 1 7.49 100000.00 4.76
## 3175 1 15000 5 4 15.61 52000.00 14.05
## 3176 0 24000 3 1 7.35 70000.00 3.89
## 3177 0 14000 5 2 9.75 60000.00 34.92
## 3178 0 10000 3 2 8.39 85000.00 2.88
## 3179 0 24500 5 3 13.35 51267.00 16.83
## 3180 0 14000 5 3 12.69 50000.00 23.12
## 3181 0 33300 5 3 15.31 112824.00 12.53
## 3182 1 20000 5 3 15.59 110000.00 14.47
## 3183 0 3000 3 3 11.99 54080.00 10.14
## 3184 0 5000 3 5 19.52 110000.00 3.36
## 3185 0 20000 5 3 12.29 40000.00 5.91
## 3186 1 7025 3 2 10.65 36000.00 24.53
## 3187 0 17600 3 1 7.24 110000.00 15.16
## 3188 0 10275 3 4 16.55 32178.00 25.00
## 3189 0 15000 3 2 10.64 95000.00 14.87
## 3190 0 6500 3 3 17.10 41000.00 28.86
## 3191 0 4000 3 1 6.92 40000.00 10.95
## 3192 0 5000 3 2 11.67 36864.00 12.73
## 3193 0 20000 5 2 10.99 68000.00 18.10
## 3194 0 28000 5 3 14.49 130000.00 10.41
## 3195 1 5000 3 3 16.24 40000.00 11.79
## 3196 1 30225 5 5 20.80 68000.00 23.35
## 3197 0 7000 3 1 5.32 130000.00 12.48
## 3198 0 12000 3 1 7.59 120000.00 6.28
## 3199 0 4500 3 3 16.02 101116.00 15.10
## 3200 0 16500 3 3 13.99 160000.00 5.88
## 3201 0 12000 3 1 5.32 57000.00 24.38
## 3202 0 15000 3 3 16.24 73000.00 18.51
## 3203 0 4800 3 3 13.66 49500.00 13.24
## 3204 0 6000 3 1 7.39 27000.00 10.58
## 3205 1 15000 5 3 14.99 70000.00 29.04
## 3206 0 20000 3 3 14.99 63158.00 20.73
## 3207 0 11000 3 1 6.39 63000.00 5.14
## 3208 0 35000 3 4 17.57 90000.00 22.15
## 3209 0 35000 3 2 11.22 95000.00 9.61
## 3210 0 8000 3 2 9.99 34000.00 26.06
## 3211 0 12000 5 2 11.49 73000.00 16.37
## 3212 0 8400 3 2 9.75 32000.00 25.81
## 3213 1 3900 3 4 15.61 55000.00 12.73
## 3214 0 4000 3 2 12.99 14472.00 26.87
## 3215 0 5000 3 3 14.49 23000.00 35.75
## 3216 0 14000 3 1 7.89 1100000.00 8.68
## 3217 0 21600 3 1 5.32 82000.00 8.62
## 3218 0 13000 5 4 16.55 60000.00 34.78
## 3219 0 14400 5 2 11.44 75000.00 14.13
## 3220 0 10000 3 1 6.49 55000.00 17.75
## 3221 1 7275 3 2 11.49 75000.00 17.61
## 3222 0 20000 5 3 12.74 75000.00 14.72
## 3223 0 12800 3 1 7.21 80000.00 1.94
## 3224 1 3000 3 3 14.65 24000.00 18.60
## 3225 0 20000 5 4 16.49 66000.00 24.44
## 3226 0 9000 3 1 8.19 60000.00 33.85
## 3227 1 8000 3 4 18.49 43000.00 10.66
## 3228 1 23400 3 2 10.99 120000.00 20.41
## 3229 0 6000 3 2 9.75 26000.00 24.75
## 3230 1 16000 5 3 16.78 62000.00 15.77
## 3231 0 25000 3 4 16.59 90000.00 2.76
## 3232 0 28000 3 4 15.41 130000.00 16.15
## 3233 0 9000 3 4 15.99 40000.00 27.23
## 3234 0 3000 3 2 11.99 61000.00 3.27
## 3235 0 8800 5 4 14.91 110313.00 19.11
## 3236 0 15000 3 2 10.16 51107.40 11.18
## 3237 1 18000 5 4 18.24 50000.00 39.70
## 3238 0 35000 5 6 23.76 96000.00 12.18
## 3239 1 12450 3 3 13.99 41000.00 23.71
## 3240 0 15000 3 2 8.67 75000.00 17.87
## 3241 0 16000 5 5 17.88 75500.00 19.35
## 3242 1 18000 5 5 23.40 103000.00 5.73
## 3243 0 18000 3 2 10.99 80000.00 11.28
## 3244 0 35000 3 2 10.41 100000.00 0.00
## 3245 0 12000 5 2 9.16 53000.00 20.22
## 3246 0 8000 3 3 13.99 41000.00 8.60
## 3247 0 15000 3 3 15.81 42000.00 18.74
## 3248 0 15000 5 1 7.89 78000.00 14.62
## 3249 1 16000 5 4 16.55 72000.00 30.50
## 3250 1 24000 5 3 13.65 85000.00 13.29
## 3251 0 3500 3 4 16.29 49000.00 21.21
## 3252 1 21350 5 3 14.99 85000.00 10.39
## 3253 0 15600 3 1 6.68 93000.00 14.05
## 3254 0 15000 5 1 7.89 70000.00 12.89
## 3255 1 11200 5 2 11.49 100000.00 11.10
## 3256 0 2600 3 1 7.90 43000.00 2.57
## 3257 0 8125 3 3 14.16 38000.00 9.10
## 3258 0 22000 5 3 14.49 100000.00 12.19
## 3259 0 13200 3 1 6.24 80000.00 14.55
## 3260 0 12500 3 2 11.39 95000.00 17.28
## 3261 0 8000 3 3 13.99 46000.00 26.40
## 3262 0 10000 3 3 12.62 50000.00 40.25
## 3263 0 25000 3 1 5.32 87500.00 20.86
## 3264 0 30000 3 3 13.98 109000.00 11.30
## 3265 0 21000 3 2 9.49 150000.00 17.80
## 3266 0 16000 5 3 17.27 100000.00 16.74
## 3267 1 10000 3 1 6.89 60000.00 15.26
## 3268 0 35000 5 2 9.99 100000.00 6.01
## 3269 0 16000 3 3 14.99 48000.00 16.47
## 3270 0 5850 3 4 17.57 44000.00 29.51
## 3271 0 7000 3 2 10.42 47000.00 16.91
## 3272 0 9600 3 2 11.53 62000.00 4.22
## 3273 1 2800 3 3 13.99 52000.00 17.54
## 3274 1 5000 3 1 7.90 35000.00 2.40
## 3275 1 7000 3 2 11.49 63137.00 25.66
## 3276 0 35000 3 3 12.29 95000.00 20.10
## 3277 0 7500 3 1 7.89 140000.00 6.62
## 3278 1 35000 5 4 17.47 102591.00 0.70
## 3279 0 14000 3 2 9.75 40000.00 12.00
## 3280 0 10000 3 1 6.03 100000.00 15.31
## 3281 0 10000 5 5 19.99 48000.00 12.78
## 3282 0 16950 3 3 15.80 110000.00 32.27
## 3283 1 16000 5 5 18.99 39204.00 18.21
## 3284 0 12000 3 2 9.99 86000.00 19.19
## 3285 0 36750 5 5 22.39 84000.00 25.13
## 3286 1 20000 3 1 6.03 110000.00 7.83
## 3287 0 16000 3 1 7.35 125000.00 18.57
## 3288 1 35000 3 3 14.65 84000.00 32.74
## 3289 0 8000 3 3 12.74 43000.00 23.92
## 3290 0 11000 5 3 15.99 38000.00 28.64
## 3291 0 21600 3 2 13.11 77500.00 28.23
## 3292 0 5000 3 2 8.39 68000.00 13.37
## 3293 1 12325 5 4 18.24 41246.40 18.85
## 3294 0 7000 5 4 17.56 38000.00 8.40
## 3295 0 7000 3 3 12.29 30000.00 20.16
## 3296 0 28000 3 5 22.74 73000.00 29.85
## 3297 0 6000 3 2 8.39 24000.00 21.80
## 3298 0 30000 5 5 22.45 87500.00 35.27
## 3299 0 13925 5 5 19.19 43000.00 34.41
## 3300 0 15000 3 3 11.99 77000.00 16.85
## 3301 0 6000 3 1 7.90 36000.00 13.50
## 3302 0 14400 5 3 15.61 88961.60 17.31
## 3303 0 40000 3 1 6.07 100000.00 3.53
## 3304 0 10000 3 2 10.49 35000.00 24.59
## 3305 0 21000 3 2 8.24 150000.00 29.41
## 3306 0 30000 5 2 11.47 130000.00 34.57
## 3307 0 6000 3 2 11.49 63888.00 12.75
## 3308 0 6000 3 2 9.17 106000.00 9.92
## 3309 0 23000 3 3 13.33 50000.00 20.02
## 3310 0 24000 5 3 13.99 348300.00 14.32
## 3311 0 13500 3 3 13.99 69100.00 35.18
## 3312 0 18400 3 1 5.93 187000.00 12.38
## 3313 1 28000 5 3 13.35 110000.00 11.77
## 3314 0 10000 3 2 11.31 36000.00 13.17
## 3315 0 5000 3 1 6.71 44000.00 6.52
## 3316 0 2700 3 3 13.49 118000.00 13.13
## 3317 0 15000 5 3 14.31 55000.00 19.18
## 3318 0 5000 3 1 6.03 50000.00 4.46
## 3319 0 7000 3 4 15.61 39984.00 27.91
## 3320 0 10000 3 3 12.99 40000.00 25.90
## 3321 0 10000 5 3 14.33 50000.00 15.84
## 3322 0 20000 5 1 7.97 210000.00 27.76
## 3323 0 20000 3 2 11.99 75000.00 2.56
## 3324 0 2400 3 3 12.69 30000.00 14.80
## 3325 0 13750 3 4 16.99 50000.00 30.94
## 3326 0 13600 5 4 19.72 40000.00 20.13
## 3327 0 28000 5 3 13.49 108000.00 10.76
## 3328 0 20000 3 2 8.18 60000.00 38.64
## 3329 0 9975 3 1 6.03 105000.00 18.79
## 3330 0 25000 5 3 16.29 88000.00 13.45
## 3331 0 7000 3 3 12.69 40000.00 7.23
## 3332 0 24000 3 2 9.17 128000.00 32.25
## 3333 0 5000 3 2 10.99 54828.00 23.66
## 3334 1 17000 3 5 23.88 55500.00 38.32
## 3335 0 12000 3 1 7.90 43000.00 10.45
## 3336 1 6000 3 3 15.59 22890.00 5.56
## 3337 1 35000 3 1 7.89 275000.00 7.46
## 3338 0 3600 3 3 13.33 75000.00 22.72
## 3339 0 22500 3 2 10.99 58000.00 25.35
## 3340 0 9925 3 1 6.89 48750.00 11.24
## 3341 1 10000 3 2 12.99 80000.00 20.66
## 3342 1 12000 5 3 14.65 36000.00 37.00
## 3343 0 18000 3 2 10.78 55000.00 11.91
## 3344 0 15850 5 3 13.98 40000.00 10.71
## 3345 1 18000 5 5 16.40 66000.00 21.42
## 3346 0 20000 5 3 14.49 96000.00 5.36
## 3347 0 4200 3 3 11.99 37000.00 26.47
## 3348 0 8000 3 1 7.62 40000.00 4.02
## 3349 0 22000 5 3 12.62 90000.00 16.35
## 3350 0 20000 3 4 21.45 75000.00 20.64
## 3351 1 15000 3 3 13.33 65000.00 6.30
## 3352 0 15000 3 2 8.18 50000.00 19.42
## 3353 0 18000 3 5 20.50 80000.00 14.87
## 3354 0 40000 5 2 9.43 140000.00 16.04
## 3355 0 20000 3 2 10.99 78000.00 26.89
## 3356 0 8000 3 3 12.74 45000.00 26.67
## 3357 0 2400 3 3 13.44 75000.00 3.34
## 3358 0 18000 5 4 16.99 83000.00 24.55
## 3359 1 12000 5 3 12.74 65000.00 11.74
## 3360 1 5000 3 2 10.99 15900.00 10.94
## 3361 0 13000 3 2 13.11 43000.00 20.82
## 3362 0 14400 5 1 7.89 45000.00 19.00
## 3363 1 4900 3 4 20.00 128000.00 16.29
## 3364 0 14400 3 1 6.24 120000.00 12.70
## 3365 0 11500 3 2 10.47 120000.00 6.15
## 3366 1 21000 3 2 11.49 42000.00 22.40
## 3367 1 18300 5 5 19.19 61000.00 12.20
## 3368 1 36000 3 2 11.49 180000.00 27.12
## 3369 1 3000 3 3 12.69 26000.00 16.48
## 3370 1 17500 3 4 16.49 35000.00 26.52
## 3371 0 6000 3 2 11.39 110000.00 8.72
## 3372 0 6000 3 3 12.05 26000.00 27.61
## 3373 0 10000 3 3 12.99 90000.00 14.49
## 3374 0 3000 3 1 7.90 35000.00 24.27
## 3375 0 13500 3 2 10.99 120000.00 1.25
## 3376 1 8100 3 4 16.55 79000.00 13.46
## 3377 0 15000 3 3 14.99 200000.00 26.70
## 3378 0 8425 3 4 15.61 55000.00 25.51
## 3379 0 18200 3 4 16.99 50000.00 18.07
## 3380 0 2400 5 1 7.29 85000.00 1.26
## 3381 0 6000 3 3 12.69 34872.00 2.79
## 3382 1 35000 5 2 9.76 225000.00 13.13
## 3383 0 20000 3 1 6.08 110000.00 23.16
## 3384 1 4800 3 3 12.39 43000.00 30.37
## 3385 1 15000 3 3 13.35 51866.00 17.12
## 3386 0 3250 3 4 19.99 41184.00 9.56
## 3387 1 32750 3 5 19.52 140000.00 8.02
## 3388 0 5000 3 2 10.91 42000.00 25.51
## 3389 0 8400 3 1 7.62 40000.00 20.19
## 3390 0 30000 5 5 20.99 70000.00 20.23
## 3391 0 29625 5 3 12.29 150000.00 26.49
## 3392 1 14400 3 3 12.29 40000.00 22.38
## 3393 0 2500 3 3 12.29 115000.00 1.88
## 3394 0 8000 3 4 16.55 48000.00 35.68
## 3395 0 10000 3 2 8.38 33000.00 10.11
## 3396 0 9100 3 1 6.03 42000.00 14.66
## 3397 1 20000 5 4 18.49 70000.00 17.16
## 3398 0 5000 3 1 7.89 80000.00 15.21
## 3399 1 11100 3 4 19.99 35069.00 32.22
## 3400 0 10000 5 3 16.02 41568.00 18.94
## 3401 0 21000 5 6 23.28 134803.00 10.78
## 3402 0 4075 3 5 22.15 37000.00 37.79
## 3403 0 20000 3 1 6.97 80000.00 7.90
## 3404 0 10000 3 2 9.75 55000.00 16.30
## 3405 1 5000 3 2 9.99 30000.00 10.20
## 3406 0 6500 3 3 13.65 52000.00 13.15
## 3407 0 7000 3 1 5.32 61000.00 3.52
## 3408 0 27000 5 2 10.75 135000.00 18.19
## 3409 0 9250 3 3 14.65 35000.00 23.15
## 3410 1 30025 5 6 26.49 71500.00 23.01
## 3411 0 6000 3 2 10.78 70000.00 12.54
## 3412 0 8475 3 4 16.55 70000.00 37.46
## 3413 0 12000 3 3 15.31 38674.88 10.43
## 3414 0 2500 3 2 10.99 72000.00 6.39
## 3415 0 5000 3 4 16.99 43380.00 17.54
## 3416 0 16800 5 3 11.99 90000.00 11.35
## 3417 1 12000 5 4 16.99 107000.00 25.46
## 3418 0 13500 5 2 8.18 80000.00 20.69
## 3419 0 12000 3 1 5.32 80000.00 12.08
## 3420 0 8000 3 3 12.74 150000.00 9.14
## 3421 0 35000 3 2 11.99 135000.00 12.99
## 3422 1 14400 5 3 14.47 33562.00 20.20
## 3423 1 12000 3 2 9.99 42500.00 19.46
## 3424 0 7800 3 2 10.91 30000.00 1.00
## 3425 0 20000 5 4 16.59 70000.00 32.85
## 3426 0 18000 3 1 7.39 85000.00 11.50
## 3427 0 8000 3 1 6.24 86000.00 7.26
## 3428 1 12000 5 3 13.99 45000.00 31.55
## 3429 1 12000 3 1 7.21 65000.00 13.46
## 3430 0 5600 3 1 6.62 70000.00 7.23
## 3431 0 4800 3 4 16.00 98000.00 6.06
## 3432 1 2500 3 3 14.65 46300.00 29.18
## 3433 1 10950 5 3 14.99 25000.00 32.87
## 3434 0 15000 5 5 22.40 100241.00 15.05
## 3435 0 7775 3 3 13.59 54036.12 8.55
## 3436 0 28000 3 1 7.12 105000.00 12.89
## 3437 1 6000 3 2 11.49 34000.00 11.22
## 3438 1 5000 3 3 12.29 98000.00 8.76
## 3439 0 15000 3 2 11.47 115000.00 11.12
## 3440 0 6000 3 3 15.22 34500.00 19.86
## 3441 0 10000 3 1 5.32 70000.00 6.03
## 3442 0 15000 3 2 10.16 64000.00 10.10
## 3443 1 10000 5 3 12.39 31932.00 18.68
## 3444 0 15000 3 5 21.49 89000.00 13.83
## 3445 0 9000 3 3 12.62 29900.00 29.95
## 3446 1 20000 5 4 19.03 125000.00 25.46
## 3447 0 7200 3 3 13.59 45000.00 31.23
## 3448 1 15000 5 4 21.49 75000.00 28.80
## 3449 0 12500 3 1 6.49 69500.00 14.50
## 3450 0 10000 3 4 15.59 66500.00 32.99
## 3451 0 4300 3 3 12.05 55000.00 5.89
## 3452 1 6000 3 4 17.97 12000.00 67.40
## 3453 1 15000 3 4 16.99 41475.00 12.59
## 3454 0 18250 5 4 16.99 44888.00 31.34
## 3455 0 18000 3 3 14.64 101000.00 16.44
## 3456 0 30000 3 3 12.69 76000.00 20.99
## 3457 0 35000 5 5 20.49 95000.00 22.56
## 3458 0 10000 5 3 12.69 38400.00 24.13
## 3459 0 24000 3 2 12.12 121279.00 14.09
## 3460 0 24000 3 2 8.18 80000.00 15.20
## 3461 1 14975 3 4 16.59 82400.00 13.44
## 3462 0 11200 3 2 8.24 85000.00 20.20
## 3463 0 5000 3 2 12.73 30000.00 7.24
## 3464 0 10000 3 3 14.33 40000.00 26.94
## 3465 0 10000 3 3 13.67 100000.00 22.57
## 3466 1 16800 5 3 12.29 85319.00 28.51
## 3467 0 4200 3 3 14.33 43200.00 17.42
## 3468 0 11900 3 4 16.55 35000.00 5.28
## 3469 0 12000 3 3 12.74 48000.00 20.55
## 3470 0 7000 3 3 13.99 35100.00 30.80
## 3471 0 14000 5 5 19.19 90000.00 17.20
## 3472 0 28000 3 1 7.91 152500.00 11.91
## 3473 0 24000 5 4 19.53 78000.00 42.74
## 3474 1 20000 5 3 13.18 85000.00 32.23
## 3475 1 21500 3 2 9.16 90000.00 18.95
## 3476 0 15750 5 5 21.67 48000.00 9.90
## 3477 0 14075 5 5 23.40 40000.00 18.36
## 3478 0 12000 3 3 12.99 50000.00 28.40
## 3479 0 20000 3 2 9.99 638000.00 21.42
## 3480 0 8000 3 3 14.33 70000.00 33.65
## 3481 0 2000 3 3 13.99 89049.00 34.18
## 3482 1 20500 3 3 14.64 49000.00 15.45
## 3483 0 20000 5 3 14.65 117000.00 22.77
## 3484 0 18000 5 6 24.08 62500.00 14.04
## 3485 0 16000 3 1 6.49 85862.00 16.17
## 3486 0 4000 3 3 13.35 35500.00 19.41
## 3487 0 20050 5 3 15.31 75000.00 23.74
## 3488 0 18000 3 1 5.32 71416.00 15.41
## 3489 1 18000 5 3 13.18 87000.00 9.90
## 3490 0 3000 3 3 12.88 12000.00 32.60
## 3491 0 28000 5 3 15.59 75000.00 17.25
## 3492 0 6000 3 3 13.66 48000.00 15.20
## 3493 0 6000 3 3 12.29 45000.00 20.03
## 3494 0 35000 3 2 9.17 155000.00 13.40
## 3495 1 1500 3 1 7.29 30000.00 1.76
## 3496 0 12000 3 1 7.26 114000.00 11.40
## 3497 0 16000 5 3 15.59 72000.00 9.27
## 3498 0 18000 5 3 14.08 109000.00 14.63
## 3499 0 5000 3 2 11.67 50000.00 21.03
## 3500 0 30000 5 3 13.99 115000.00 22.44
## 3501 0 7000 3 4 16.55 95000.00 16.95
## 3502 0 4450 3 5 19.24 35000.00 21.26
## 3503 0 7000 3 3 12.99 29000.00 7.74
## 3504 0 20000 3 2 11.99 48000.00 30.55
## 3505 0 35000 5 4 18.25 175000.00 15.80
## 3506 0 19200 5 3 13.98 68500.00 10.09
## 3507 0 16000 3 4 15.61 130000.00 12.91
## 3508 0 10000 3 3 13.44 48000.00 29.93
## 3509 0 20000 3 2 10.49 100000.00 23.39
## 3510 0 12600 5 5 21.97 35000.00 28.64
## 3511 0 13000 5 3 13.67 85000.00 23.36
## 3512 0 1500 3 1 6.39 50000.00 2.40
## 3513 0 8000 3 2 9.17 94000.00 5.48
## 3514 0 18000 3 1 7.99 90000.00 29.43
## 3515 0 2000 3 4 16.99 70000.00 20.70
## 3516 0 20000 3 2 9.44 180000.00 8.71
## 3517 0 16000 3 3 13.59 28428.00 14.75
## 3518 1 15000 3 3 15.61 65000.00 15.45
## 3519 0 10000 3 3 13.35 60000.00 20.99
## 3520 0 5000 3 2 12.99 34560.00 29.13
## 3521 0 4750 3 2 10.25 79200.00 20.42
## 3522 0 30000 5 4 19.03 120000.00 6.28
## 3523 0 35450 3 1 7.89 80000.00 20.16
## 3524 0 5000 3 1 6.03 100000.00 2.25
## 3525 0 5600 3 3 13.33 137000.00 24.52
## 3526 1 6000 3 3 14.99 42900.00 26.63
## 3527 0 32000 5 5 20.50 125000.00 9.55
## 3528 0 4000 3 1 7.88 56800.00 5.39
## 3529 0 10500 3 3 13.99 40000.00 20.91
## 3530 0 14000 3 2 10.91 24000.00 10.80
## 3531 0 10000 3 2 10.64 92000.00 17.57
## 3532 0 20000 3 3 13.49 185000.00 17.55
## 3533 1 24000 5 4 16.59 95000.00 18.53
## 3534 0 2000 3 3 14.65 45000.00 7.65
## 3535 1 13000 3 3 11.99 40000.00 23.19
## 3536 0 4600 3 2 8.24 36000.00 6.83
## 3537 0 3500 3 2 11.22 100000.00 17.95
## 3538 0 18000 3 3 14.65 60000.00 31.62
## 3539 0 20000 3 3 14.65 150000.00 7.09
## 3540 0 4125 3 2 9.17 36500.00 27.33
## 3541 0 10400 3 1 7.89 105000.00 8.09
## 3542 0 22000 3 2 9.17 110000.00 25.21
## 3543 0 35000 3 2 9.49 212000.00 22.05
## 3544 1 35000 5 4 19.03 150000.00 16.70
## 3545 1 30000 3 5 19.99 100000.00 25.32
## 3546 0 8000 3 3 13.67 68000.00 12.71
## 3547 0 12600 3 1 7.07 81000.00 23.35
## 3548 1 7250 3 4 18.99 46000.00 17.90
## 3549 0 15000 3 5 25.82 45000.00 22.05
## 3550 1 8000 3 3 15.31 52000.00 17.68
## 3551 0 3600 3 3 12.74 60700.00 20.58
## 3552 0 13675 3 2 12.12 75000.00 13.26
## 3553 0 12600 3 2 11.99 67499.90 25.70
## 3554 0 8000 3 1 7.21 115000.00 14.94
## 3555 1 6400 3 2 11.67 30000.00 13.96
## 3556 1 16000 5 6 24.99 44000.00 13.01
## 3557 0 7500 3 1 7.89 40000.00 14.82
## 3558 0 24000 3 1 7.26 130000.00 4.29
## 3559 0 35000 5 3 12.39 117000.00 14.15
## 3560 0 12000 5 5 21.18 54000.00 23.38
## 3561 0 15000 3 2 8.39 61000.00 23.79
## 3562 0 24000 5 4 17.09 69000.00 27.93
## 3563 0 13000 3 3 13.33 50000.00 16.63
## 3564 0 37000 5 4 19.03 125000.00 10.08
## 3565 0 35000 3 1 7.99 140000.00 11.27
## 3566 0 6400 3 1 7.90 54000.00 10.44
## 3567 0 35000 5 3 12.62 170000.00 6.84
## 3568 0 16000 3 1 5.32 85000.00 18.68
## 3569 0 9925 3 4 16.99 45760.00 21.30
## 3570 1 6000 3 1 7.89 42000.00 26.31
## 3571 0 6500 3 1 6.89 65000.00 7.96
## 3572 0 10500 3 3 14.08 60000.00 24.81
## 3573 0 15000 3 1 8.39 85000.00 9.32
## 3574 0 20000 3 4 16.59 85800.00 17.00
## 3575 0 15000 3 1 7.62 53000.00 24.41
## 3576 0 15000 3 2 10.41 38500.00 1.87
## 3577 0 12000 3 2 12.53 141000.00 5.59
## 3578 1 10000 3 3 13.33 60000.00 21.64
## 3579 0 18000 3 2 10.42 80000.00 11.27
## 3580 0 8000 3 1 7.39 36000.00 16.48
## 3581 0 16825 5 3 17.27 38000.00 29.08
## 3582 0 5000 3 1 7.90 90000.00 4.36
## 3583 1 3000 3 3 14.99 75528.00 17.95
## 3584 0 2500 3 3 14.30 56000.00 16.37
## 3585 1 18400 5 3 14.49 80000.00 27.02
## 3586 1 10000 3 3 15.99 85000.00 18.01
## 3587 1 35000 5 5 21.00 206000.00 15.09
## 3588 0 3000 3 3 15.04 32200.00 7.23
## 3589 0 4800 3 4 21.49 25000.00 23.28
## 3590 0 10000 5 3 14.47 132000.00 10.72
## 3591 1 6000 3 4 17.86 30000.00 23.04
## 3592 0 21125 5 3 14.99 55000.00 23.81
## 3593 0 10500 3 1 7.69 80000.00 29.93
## 3594 0 14400 5 6 24.50 104000.00 17.54
## 3595 1 8400 3 3 14.08 110000.00 5.44
## 3596 0 24000 3 3 12.69 95000.00 18.43
## 3597 0 17000 3 1 7.89 82000.00 29.88
## 3598 0 7000 3 4 16.99 55000.00 32.71
## 3599 1 12000 5 3 14.65 36000.00 18.57
## 3600 0 8000 3 2 8.18 72000.00 17.00
## 3601 0 35000 5 5 20.50 93580.00 12.93
## 3602 0 10000 3 2 11.49 87000.00 22.71
## 3603 0 14000 5 5 18.54 53000.00 17.46
## 3604 0 12000 3 2 10.99 65000.00 19.90
## 3605 0 24000 3 2 9.17 93100.00 11.74
## 3606 1 19350 5 6 26.57 44000.00 29.71
## 3607 0 18000 5 2 9.17 110000.00 3.11
## 3608 0 12000 3 1 7.49 90000.00 3.11
## 3609 1 30000 3 3 12.29 126400.00 12.38
## 3610 1 19500 5 4 17.57 65000.00 20.00
## 3611 1 35000 5 5 20.99 120000.00 36.77
## 3612 0 20000 3 2 13.11 99000.00 17.56
## 3613 0 19000 3 2 10.65 53000.00 8.74
## 3614 0 14700 5 4 19.99 32000.00 19.47
## 3615 0 18775 3 2 9.99 86000.00 17.32
## 3616 0 15000 3 1 6.99 100000.00 5.26
## 3617 1 10200 5 4 18.99 48000.00 15.73
## 3618 0 8000 3 2 9.17 54500.00 3.06
## 3619 1 5000 3 2 10.99 33000.00 11.00
## 3620 0 11000 3 2 10.99 80000.00 12.89
## 3621 0 14000 3 2 9.67 160000.00 6.75
## 3622 0 20000 3 3 16.02 109000.00 6.97
## 3623 1 15000 3 3 11.99 35000.00 20.30
## 3624 0 28000 3 1 6.89 72000.00 8.02
## 3625 0 3000 3 4 16.29 45000.00 15.92
## 3626 0 5000 3 1 7.89 87000.00 14.17
## 3627 0 6500 3 2 11.53 80000.00 25.10
## 3628 0 15000 3 2 8.18 115000.00 15.72
## 3629 1 20000 3 3 13.99 50000.00 19.42
## 3630 1 35000 5 5 20.99 95366.00 17.09
## 3631 0 21600 3 2 12.99 80000.00 22.17
## 3632 0 5000 3 3 14.65 83000.00 14.13
## 3633 0 12000 3 3 13.99 90000.00 14.66
## 3634 0 13000 3 2 9.44 42000.00 9.86
## 3635 1 14000 5 2 9.99 80000.00 12.81
## 3636 0 18000 5 5 21.18 82000.00 22.20
## 3637 0 21000 5 2 8.18 160000.00 14.42
## 3638 0 17800 3 3 14.65 49447.00 13.13
## 3639 0 7200 3 2 10.99 65000.00 26.96
## 3640 0 11000 3 2 10.75 62000.00 24.89
## 3641 0 17000 3 1 5.93 90000.00 23.99
## 3642 1 9800 3 1 7.89 50000.00 10.75
## 3643 0 35000 3 3 15.80 220000.00 4.43
## 3644 0 7000 3 2 9.16 46500.00 20.31
## 3645 0 10800 3 3 16.78 150000.00 9.08
## 3646 0 30000 3 3 13.49 70000.00 23.98
## 3647 0 25000 3 3 12.69 65000.00 11.71
## 3648 0 8500 3 2 10.07 70000.00 16.54
## 3649 0 5000 3 3 17.10 45000.00 13.55
## 3650 0 12000 3 2 8.39 85000.00 5.70
## 3651 0 5000 3 1 6.99 250000.00 17.09
## 3652 0 9600 3 3 15.31 71000.00 13.71
## 3653 0 12000 5 3 14.99 100000.00 15.20
## 3654 0 17000 3 4 16.99 50000.00 23.88
## 3655 0 10000 3 2 9.75 42760.00 21.67
## 3656 0 5000 3 4 16.29 45000.00 31.20
## 3657 0 14000 3 1 7.26 160000.00 10.98
## 3658 0 20000 5 5 24.99 40000.00 7.89
## 3659 0 3600 3 2 11.99 25000.00 21.17
## 3660 0 5000 3 3 15.31 47000.00 18.72
## 3661 1 1000 3 6 23.43 42000.00 17.34
## 3662 1 30000 5 4 18.06 67860.00 11.56
## 3663 0 23925 3 2 11.49 210000.00 24.88
## 3664 0 15000 3 5 25.34 120000.00 31.54
## 3665 0 18000 3 1 7.90 38000.00 22.14
## 3666 0 13250 3 3 12.39 75000.00 21.25
## 3667 0 7300 3 3 13.49 60000.00 30.50
## 3668 0 15000 3 1 7.89 125000.00 12.31
## 3669 0 2300 3 2 10.99 55000.00 24.22
## 3670 0 15000 3 1 5.32 80000.00 15.96
## 3671 0 30000 3 2 11.49 108000.00 17.18
## 3672 1 15000 3 3 12.69 44000.00 32.54
## 3673 0 14850 3 4 18.06 55000.00 16.80
## 3674 0 16000 3 1 5.32 87450.00 7.71
## 3675 0 35000 3 4 15.59 72000.00 16.05
## 3676 0 24000 3 4 19.22 84188.23 34.89
## 3677 1 12000 3 3 15.80 65000.00 10.15
## 3678 0 4800 3 5 21.98 38000.00 15.35
## 3679 0 28000 3 1 7.89 150000.00 11.07
## 3680 0 13500 3 2 13.53 50000.00 18.10
## 3681 1 2100 3 2 14.09 70000.00 6.43
## 3682 0 6600 3 2 11.99 50000.00 17.02
## 3683 0 15000 3 4 16.99 61000.00 22.13
## 3684 0 8000 3 2 13.67 60000.00 2.94
## 3685 0 35000 5 4 16.99 200000.00 14.87
## 3686 0 24000 3 1 8.19 105000.00 25.95
## 3687 1 22300 5 6 22.45 48488.00 26.78
## 3688 0 16700 5 4 21.49 78000.00 21.75
## 3689 0 10000 3 1 5.32 90000.00 14.72
## 3690 1 1200 3 6 21.99 24000.00 7.75
## 3691 0 6400 3 4 17.09 50000.00 28.11
## 3692 0 22400 3 2 8.99 104000.00 23.83
## 3693 0 9250 3 2 12.49 70000.00 22.46
## 3694 0 5500 3 1 7.90 38000.00 26.31
## 3695 0 12000 3 3 14.31 42000.00 20.64
## 3696 0 32000 3 2 9.99 160000.00 13.69
## 3697 0 7500 3 2 10.15 27000.00 26.98
## 3698 0 20000 5 6 25.57 110000.00 16.50
## 3699 0 13000 3 2 9.17 42000.00 10.00
## 3700 1 15000 3 4 15.41 114000.00 5.40
## 3701 0 20000 3 2 13.11 65000.00 20.77
## 3702 0 5500 3 3 15.61 20500.00 32.85
## 3703 0 35000 5 3 12.99 120000.00 5.13
## 3704 0 7000 3 2 8.24 38000.00 16.60
## 3705 0 33275 5 6 25.99 125000.00 26.15
## 3706 0 21000 3 1 8.19 75000.00 29.38
## 3707 0 16500 5 1 8.39 53000.00 25.71
## 3708 0 5000 3 2 11.39 140000.00 16.40
## 3709 0 35000 3 1 7.69 92000.00 21.95
## 3710 1 9600 3 3 13.99 65000.00 23.69
## 3711 0 35000 3 2 9.17 135000.00 10.19
## 3712 0 4000 3 1 6.83 57000.00 2.17
## 3713 0 15975 5 5 20.99 47000.00 2.96
## 3714 0 5200 3 1 6.24 45000.00 5.77
## 3715 0 6000 3 1 5.32 41500.00 17.38
## 3716 1 15000 3 3 12.62 52000.00 1.78
## 3717 0 22950 3 4 17.97 115000.00 10.66
## 3718 0 12000 3 2 9.67 121000.00 6.86
## 3719 0 9600 3 1 7.39 68000.00 20.67
## 3720 0 32600 3 2 10.99 89000.00 9.82
## 3721 0 7000 3 1 6.71 128000.00 8.73
## 3722 0 14000 3 2 9.17 42000.00 21.60
## 3723 0 10000 3 2 9.43 70000.00 2.77
## 3724 0 12000 3 1 7.26 67000.00 17.52
## 3725 0 7500 3 1 8.19 91000.00 7.77
## 3726 1 2500 3 3 14.98 57200.00 13.05
## 3727 1 4000 3 4 19.42 40000.00 18.60
## 3728 0 9875 3 3 13.98 27040.00 34.22
## 3729 0 12000 3 3 13.99 48000.00 20.48
## 3730 0 2500 3 2 8.24 100000.00 26.82
## 3731 1 7000 3 2 9.99 86590.73 13.57
## 3732 0 1000 3 1 7.62 15000.00 14.48
## 3733 0 10000 3 3 15.99 39000.00 31.32
## 3734 0 15000 3 2 10.78 39000.00 13.94
## 3735 0 10000 3 3 12.29 40000.00 12.42
## 3736 0 12000 3 2 11.44 80000.00 6.11
## 3737 0 8000 3 1 7.89 24000.00 4.95
## 3738 0 9000 3 2 11.44 36000.00 21.07
## 3739 0 8950 3 3 14.30 32800.00 25.46
## 3740 0 15000 3 2 9.16 52000.00 19.16
## 3741 0 40000 5 3 14.47 110000.00 16.09
## 3742 0 12000 5 5 19.52 78000.00 30.65
## 3743 0 21600 5 3 14.99 45000.00 9.71
## 3744 0 12000 3 2 9.99 46000.00 7.83
## 3745 0 13000 3 1 7.96 58000.00 12.22
## 3746 0 28000 5 6 23.13 163000.00 22.34
## 3747 1 21000 5 3 14.79 55000.00 24.20
## 3748 0 13000 3 2 10.49 65000.00 39.83
## 3749 0 12600 3 3 14.46 35000.00 10.39
## 3750 0 2000 3 7 25.80 30000.00 20.38
## 3751 0 10000 5 4 20.00 60000.00 12.56
## 3752 0 10750 5 4 16.99 40000.00 19.35
## 3753 0 19750 5 4 17.57 125000.00 12.56
## 3754 0 3250 3 3 12.39 42000.00 30.06
## 3755 0 21000 5 2 10.99 95000.00 10.79
## 3756 0 12000 3 4 18.06 68000.00 14.37
## 3757 0 3600 3 3 13.98 44800.00 24.99
## 3758 0 10000 5 5 22.40 52500.00 20.65
## 3759 0 35000 3 3 14.65 95000.00 22.64
## 3760 0 12000 3 2 9.99 63000.00 7.22
## 3761 1 35000 5 6 23.43 100000.00 0.60
## 3762 0 5500 3 1 6.08 67000.00 29.75
## 3763 0 12000 3 2 10.64 49900.00 16.09
## 3764 0 20000 3 1 8.19 95000.00 7.43
## 3765 0 19400 3 3 13.65 58000.00 30.33
## 3766 0 21625 5 3 12.29 72575.00 34.07
## 3767 0 35000 3 1 6.99 200000.00 19.48
## 3768 0 2250 3 3 14.49 50000.00 29.12
## 3769 0 23400 3 1 7.89 90000.00 25.99
## 3770 0 8400 3 1 7.12 83000.00 3.59
## 3771 0 5375 3 1 8.90 100000.00 11.36
## 3772 1 20000 5 4 16.99 80000.00 7.70
## 3773 0 20000 5 3 15.31 68000.00 27.16
## 3774 1 21600 5 2 10.49 115000.00 12.73
## 3775 0 22500 3 1 7.89 60000.00 24.61
## 3776 1 10000 3 4 15.59 38000.00 37.59
## 3777 0 21600 3 4 17.09 35000.00 36.28
## 3778 0 20000 3 2 10.49 80000.00 24.68
## 3779 0 7000 3 2 11.99 63000.00 13.56
## 3780 0 21000 3 3 15.99 50000.00 14.74
## 3781 0 6000 3 4 16.99 45000.00 5.76
## 3782 0 1000 3 4 16.99 29000.00 19.78
## 3783 0 12850 5 5 19.19 60000.00 13.44
## 3784 0 2100 3 3 14.47 63401.00 24.76
## 3785 0 6000 3 2 13.11 65000.00 27.43
## 3786 0 12000 3 2 12.12 45000.00 8.48
## 3787 0 16000 5 2 12.73 52000.00 19.78
## 3788 0 2000 3 2 9.16 35000.00 18.24
## 3789 0 10000 3 4 18.06 45000.00 4.27
## 3790 0 10500 5 4 19.47 43440.00 20.91
## 3791 0 10400 3 1 6.24 50000.00 12.46
## 3792 0 9775 3 2 10.75 75000.00 9.66
## 3793 0 25000 5 5 22.47 60000.00 24.68
## 3794 0 14875 3 3 12.29 41328.00 15.65
## 3795 0 9575 3 3 15.31 55000.00 15.58
## 3796 0 27000 3 1 5.32 105000.00 4.27
## 3797 0 12000 5 3 15.31 51000.00 4.85
## 3798 0 13000 3 2 11.53 125000.00 12.40
## 3799 1 29175 5 3 17.27 65000.00 27.06
## 3800 0 13750 3 2 10.15 94000.00 8.37
## 3801 1 21000 5 2 10.15 65565.00 21.45
## 3802 0 16800 3 3 15.31 40000.00 20.64
## 3803 0 15000 3 2 11.67 70000.00 38.13
## 3804 0 8000 3 2 9.67 90000.00 0.44
## 3805 1 22625 5 5 18.99 105000.00 24.73
## 3806 0 12500 5 2 11.98 53000.00 20.20
## 3807 0 12000 3 1 5.32 46000.00 24.65
## 3808 0 5000 3 2 10.15 45000.00 21.04
## 3809 0 10000 3 3 14.16 50000.00 9.58
## 3810 1 30000 5 5 18.84 91000.00 6.22
## 3811 0 15000 3 2 11.49 43200.00 31.42
## 3812 0 1000 3 2 9.62 38400.00 14.34
## 3813 0 20000 5 3 12.62 65000.00 16.91
## 3814 0 24000 3 2 10.91 62352.00 27.60
## 3815 0 20000 3 3 11.99 60000.00 13.06
## 3816 0 25000 5 3 13.98 125000.00 6.00
## 3817 0 5000 3 2 10.99 80000.00 15.83
## 3818 0 24000 5 2 9.93 90500.00 12.97
## 3819 1 12000 3 2 9.67 78000.00 11.23
## 3820 0 35000 5 4 15.61 115000.00 26.40
## 3821 1 11550 3 1 8.39 33000.00 21.38
## 3822 0 32000 5 4 17.47 77770.00 29.77
## 3823 0 14400 3 3 12.69 90000.00 18.68
## 3824 0 7000 3 2 10.99 70000.00 21.26
## 3825 1 20125 5 5 21.98 45000.00 20.40
## 3826 1 10000 3 4 19.42 32000.00 36.85
## 3827 0 5400 3 1 8.08 70000.00 2.59
## 3828 1 3125 3 5 18.99 45000.00 13.41
## 3829 0 16500 3 3 13.99 53000.00 21.58
## 3830 0 23725 5 3 15.99 65000.00 21.51
## 3831 0 4800 3 2 8.18 35000.00 34.88
## 3832 0 4125 3 3 12.59 70000.00 15.52
## 3833 0 35000 3 4 19.05 125000.00 17.36
## 3834 0 35000 5 3 13.99 87360.00 0.55
## 3835 0 16800 3 4 16.55 40000.00 13.80
## 3836 1 7500 3 1 5.32 40000.00 18.39
## 3837 0 7500 3 1 5.32 55000.00 14.49
## 3838 0 12000 3 2 10.16 48000.00 20.68
## 3839 0 10000 3 2 9.17 42000.00 24.63
## 3840 0 5000 3 4 17.09 34000.00 14.93
## 3841 0 12000 3 1 7.21 116500.00 14.13
## 3842 0 15000 5 4 19.53 60000.00 22.62
## 3843 0 6000 3 1 7.21 59000.00 8.97
## 3844 0 2800 3 1 6.49 73000.00 18.99
## 3845 0 20000 5 5 22.39 62000.00 13.16
## 3846 0 12625 3 3 15.99 30100.00 26.55
## 3847 0 10000 3 3 14.99 31000.00 32.95
## 3848 0 7200 3 1 7.35 57184.00 7.07
## 3849 0 6000 3 2 8.39 55000.00 4.85
## 3850 0 10500 3 1 6.99 110000.00 18.07
## 3851 0 35000 3 3 11.99 91000.00 24.82
## 3852 0 7000 3 2 8.18 165000.00 6.26
## 3853 0 5000 3 1 7.26 50000.00 9.05
## 3854 0 15000 3 1 6.03 59500.00 14.77
## 3855 1 2500 3 2 9.76 46368.00 15.48
## 3856 0 4800 3 3 14.65 55000.00 2.62
## 3857 0 30000 3 1 6.92 160000.00 17.77
## 3858 0 14000 3 1 6.49 85000.00 13.78
## 3859 0 35000 3 1 6.72 30000.00 65.24
## 3860 0 21000 5 2 8.18 97000.00 18.53
## 3861 0 33000 5 2 13.11 130000.00 13.31
## 3862 1 19000 3 3 13.59 80000.00 20.52
## 3863 0 12000 3 2 8.18 87500.00 9.23
## 3864 0 11200 3 1 6.62 144000.00 11.31
## 3865 0 20000 3 2 12.49 105000.00 28.53
## 3866 0 12000 3 1 7.89 54000.00 23.13
## 3867 1 12000 3 3 12.05 80000.00 25.08
## 3868 0 12500 5 3 13.49 65000.00 17.01
## 3869 0 9000 3 1 7.89 36000.00 21.37
## 3870 0 35000 3 2 9.17 108000.00 27.32
## 3871 1 30000 5 6 29.49 75000.00 16.51
## 3872 0 9600 3 2 9.17 45000.00 12.69
## 3873 1 17850 5 6 30.65 47000.00 20.05
## 3874 0 5000 3 4 15.62 59000.00 8.91
## 3875 0 5000 3 1 6.11 100000.00 13.80
## 3876 0 10775 3 4 16.49 101500.00 15.97
## 3877 0 30000 3 3 13.66 79200.00 21.64
## 3878 1 30000 5 4 16.55 75000.00 10.75
## 3879 0 22000 3 1 6.03 70000.00 15.93
## 3880 0 6250 3 4 16.99 43400.00 7.11
## 3881 1 23800 3 4 18.25 50000.00 12.99
## 3882 0 35000 5 6 23.99 90000.00 29.39
## 3883 0 16000 3 1 5.32 91000.00 22.33
## 3884 1 35000 3 2 11.49 55000.00 23.59
## 3885 0 5000 3 2 9.67 48000.00 20.53
## 3886 0 12000 3 1 6.99 51000.00 13.22
## 3887 0 11000 3 2 9.44 95000.00 13.73
## 3888 0 8000 3 1 7.89 65000.00 13.81
## 3889 0 6500 3 4 17.99 66000.00 21.89
## 3890 0 28800 3 4 18.99 65000.00 25.65
## 3891 1 3000 3 2 10.62 35000.00 8.91
## 3892 0 8000 3 2 8.18 40000.00 16.32
## 3893 1 21000 5 4 21.49 60000.00 20.90
## 3894 0 8000 3 2 9.67 110000.00 3.31
## 3895 1 18000 5 6 23.99 65000.00 17.74
## 3896 0 3600 3 1 6.62 70000.00 12.86
## 3897 0 10000 3 2 9.75 40000.00 3.03
## 3898 0 3600 3 5 21.15 68000.00 18.08
## 3899 0 3000 3 2 9.75 57000.00 33.62
## 3900 0 35000 3 1 7.89 140000.00 12.26
## 3901 0 5000 3 2 10.99 60000.00 16.15
## 3902 0 20000 3 1 7.62 103000.00 3.25
## 3903 0 4100 3 5 21.97 57000.00 29.52
## 3904 0 10900 3 2 10.99 158000.00 8.26
## 3905 0 8500 3 4 19.53 25000.00 28.37
## 3906 0 8000 3 2 8.39 49000.00 12.64
## 3907 0 9600 3 2 11.44 50000.00 28.04
## 3908 0 15000 5 2 11.99 45000.00 20.88
## 3909 0 27000 3 1 6.49 300000.00 11.54
## 3910 0 6000 3 1 8.90 44000.00 16.99
## 3911 0 18275 3 1 5.32 85000.00 22.69
## 3912 0 15025 3 5 20.75 35000.00 16.91
## 3913 0 12300 3 2 11.99 40000.00 5.65
## 3914 0 3000 3 1 6.99 72000.00 11.13
## 3915 0 15000 3 1 5.32 60000.00 11.62
## 3916 1 28000 3 3 12.74 72000.00 16.57
## 3917 1 6500 3 2 10.49 32000.00 5.40
## 3918 0 25000 3 1 5.31 105000.00 9.09
## 3919 0 4000 3 3 13.59 80000.00 8.92
## 3920 0 11200 3 3 12.69 48000.00 34.68
## 3921 0 33600 3 3 11.99 70000.00 24.02
## 3922 0 16800 3 2 10.91 75000.00 26.82
## 3923 0 10000 3 3 13.33 205000.00 23.12
## 3924 0 6800 3 1 8.19 64500.00 12.28
## 3925 1 6650 3 4 16.29 60190.00 25.84
## 3926 0 9000 3 2 11.53 72000.00 14.58
## 3927 0 8750 3 2 11.53 50000.00 16.23
## 3928 0 8150 3 3 13.99 48000.00 7.13
## 3929 0 6000 3 3 12.62 250000.00 11.45
## 3930 0 12000 5 3 13.98 60000.00 15.54
## 3931 0 5000 3 2 8.99 52000.00 19.60
## 3932 0 3000 3 1 7.59 20000.00 15.43
## 3933 1 10000 3 1 7.89 49000.00 22.48
## 3934 0 1800 3 2 9.17 33000.00 23.20
## 3935 0 15000 3 2 9.99 40000.00 13.17
## 3936 0 13375 3 5 20.49 60000.00 8.44
## 3937 0 26000 5 4 19.05 110000.00 19.15
## 3938 1 19750 5 3 15.61 45000.00 30.41
## 3939 0 20000 3 2 9.44 130000.00 4.32
## 3940 0 13000 3 3 11.99 36000.00 9.33
## 3941 1 10625 5 3 15.22 43000.00 22.63
## 3942 1 16425 3 4 17.57 42000.00 33.71
## 3943 0 25000 5 2 9.17 110000.00 16.56
## 3944 0 6000 3 2 8.38 132000.00 19.74
## 3945 0 16000 3 2 9.99 50000.00 10.37
## 3946 1 5000 3 5 23.99 28000.00 31.80
## 3947 0 24000 3 1 6.62 95000.00 9.88
## 3948 1 7500 3 4 16.59 75000.00 32.00
## 3949 1 8000 3 4 16.99 49000.00 35.48
## 3950 0 20000 3 3 16.02 60000.00 20.90
## 3951 0 23850 3 5 20.49 60000.00 22.38
## 3952 0 5200 3 3 12.29 45000.00 9.33
## 3953 0 14000 5 3 15.99 90535.00 26.41
## 3954 0 18100 3 3 12.62 51000.00 8.33
## 3955 0 18000 5 2 10.42 95000.00 15.51
## 3956 0 7000 3 4 17.99 24500.00 9.36
## 3957 1 24000 5 5 18.99 100000.00 14.45
## 3958 1 12000 3 2 8.99 80000.00 8.33
## 3959 0 4500 3 3 14.33 24000.00 20.40
## 3960 0 20000 5 4 19.53 82000.00 19.46
## 3961 0 10000 3 1 6.49 36000.00 16.70
## 3962 1 16800 3 3 14.99 41000.00 21.90
## 3963 0 20000 5 4 17.99 50000.00 22.71
## 3964 0 30000 3 2 9.17 275000.00 8.55
## 3965 0 19000 3 1 7.89 88000.00 21.00
## 3966 0 28000 3 1 5.32 106000.00 14.43
## 3967 0 35000 5 5 21.00 161058.00 10.55
## 3968 1 25000 3 3 12.29 88000.00 21.93
## 3969 0 8000 3 1 6.99 61421.36 13.81
## 3970 0 35000 5 4 15.59 100000.00 32.22
## 3971 0 20000 3 1 6.24 85000.00 6.45
## 3972 0 5000 3 4 15.61 25400.00 38.42
## 3973 0 6400 3 2 12.49 28000.00 14.92
## 3974 0 2500 3 1 8.39 44000.00 13.04
## 3975 0 5000 3 4 16.99 52000.00 2.61
## 3976 0 16000 3 1 6.62 120000.00 12.94
## 3977 1 8800 3 1 5.31 37000.00 16.94
## 3978 0 26500 3 3 12.74 53000.00 20.08
## 3979 0 12000 3 2 11.49 65000.00 6.68
## 3980 0 20000 5 5 18.54 54000.00 28.96
## 3981 0 21000 3 4 16.99 50000.00 22.97
## 3982 1 11000 3 4 19.99 34992.00 20.06
## 3983 0 2400 3 3 14.49 35000.00 18.69
## 3984 0 2800 3 3 12.29 50000.00 30.57
## 3985 0 35000 5 7 28.67 130000.00 8.63
## 3986 0 9000 3 1 7.89 73000.00 24.63
## 3987 0 15000 3 1 8.46 65000.00 14.59
## 3988 0 4625 3 4 17.86 62000.00 19.61
## 3989 0 6025 3 2 11.47 80000.00 11.27
## 3990 0 27525 5 5 20.50 62788.00 15.67
## 3991 0 30000 5 7 25.80 165000.00 21.86
## 3992 1 30000 5 6 23.76 97000.00 21.27
## 3993 1 14000 5 3 13.98 59160.00 18.99
## 3994 0 10750 3 2 10.49 70000.00 9.02
## 3995 1 12000 3 2 11.14 50865.00 20.25
## 3996 0 35000 5 3 15.59 85000.00 26.97
## 3997 0 36000 5 1 7.99 175000.00 20.41
## 3998 1 20000 5 4 15.61 90000.00 15.23
## 3999 0 8000 3 1 7.35 45000.00 9.11
## 4000 0 14000 5 4 18.45 20000.00 60.33
## 4001 0 2500 3 2 9.93 25000.00 13.73
## 4002 0 10000 3 2 10.49 65000.00 22.16
## 4003 0 7000 3 2 11.39 80000.00 2.63
## 4004 0 8500 3 4 17.09 60000.00 30.82
## 4005 0 10000 3 2 10.15 50000.00 28.84
## 4006 1 21800 3 4 16.55 65000.00 13.24
## 4007 0 28000 5 4 18.24 138000.00 25.91
## 4008 0 18000 3 3 12.29 105000.00 18.88
## 4009 0 20000 5 3 13.33 50000.00 37.63
## 4010 0 10000 5 3 14.99 82000.00 10.08
## 4011 1 20000 5 6 22.99 65000.00 23.62
## 4012 1 6375 3 3 14.33 31200.00 26.08
## 4013 1 13000 3 2 11.48 45000.00 6.00
## 4014 0 4000 3 1 6.62 42000.00 12.29
## 4015 1 35000 3 4 17.27 90000.00 17.49
## 4016 0 24000 3 1 7.91 65000.00 13.96
## 4017 0 3000 3 3 12.99 36000.00 14.53
## 4018 0 11050 5 3 13.99 60000.00 14.38
## 4019 0 24650 5 2 11.44 84537.00 11.27
## 4020 0 5000 3 1 6.71 70000.00 0.69
## 4021 0 35000 5 5 18.55 82900.00 11.84
## 4022 1 11200 5 3 14.08 72000.00 31.07
## 4023 0 10750 3 4 17.77 32000.00 16.57
## 4024 0 7000 3 3 12.59 56000.00 14.62
## 4025 0 20000 3 3 11.99 55000.00 31.73
## 4026 0 7500 3 1 8.49 28800.00 7.42
## 4027 0 18000 3 3 13.98 50000.00 16.23
## 4028 0 24000 5 2 11.05 135000.00 18.88
## 4029 0 19200 5 6 30.17 50000.00 18.07
## 4030 0 4000 3 2 9.17 15000.00 9.84
## 4031 0 10000 3 1 6.92 65000.00 5.26
## 4032 1 10000 5 6 24.99 25000.00 8.07
## 4033 0 10000 5 1 7.66 85000.00 0.56
## 4034 0 10650 3 3 14.99 65000.00 16.73
## 4035 0 35000 3 2 10.75 152000.00 31.14
## 4036 0 21000 5 4 16.29 75000.00 18.69
## 4037 1 5750 3 4 18.99 18000.00 17.40
## 4038 1 10525 3 3 12.99 34800.00 24.79
## 4039 0 8000 3 4 15.61 48300.00 24.45
## 4040 0 28000 5 1 8.39 110000.00 25.03
## 4041 0 10000 5 2 10.33 61000.00 11.98
## 4042 0 4000 3 2 10.91 56000.00 19.87
## 4043 0 6000 3 4 15.59 89000.00 30.47
## 4044 0 5000 3 2 9.93 36000.00 18.70
## 4045 1 10800 3 3 13.99 55000.00 15.80
## 4046 0 12000 3 2 11.53 55000.00 14.05
## 4047 0 21000 3 2 10.99 124000.00 15.90
## 4048 0 25700 3 3 14.46 120000.00 1.51
## 4049 0 12000 3 1 7.69 81400.00 18.74
## 4050 0 2400 3 3 12.74 33000.00 11.60
## 4051 0 6950 3 3 13.99 24199.80 15.38
## 4052 1 18250 5 2 12.12 97708.00 17.72
## 4053 0 15000 3 3 13.99 72000.00 18.60
## 4054 0 15000 5 3 14.65 55000.00 23.67
## 4055 1 4225 3 4 15.61 14160.00 12.63
## 4056 1 1800 3 4 17.57 75000.00 7.62
## 4057 0 6400 3 4 17.14 41000.00 11.94
## 4058 1 18000 5 2 12.99 79500.00 30.83
## 4059 0 13000 3 1 6.49 100000.00 8.41
## 4060 0 20000 5 5 24.74 79000.00 29.73
## 4061 0 34000 3 5 24.74 85000.00 20.95
## 4062 0 14000 5 4 18.49 62000.00 38.20
## 4063 0 15000 5 4 16.29 60000.00 23.16
## 4064 0 8200 3 3 15.59 55000.00 17.08
## 4065 0 20000 3 2 10.78 48950.00 37.48
## 4066 0 31625 3 4 18.99 127000.00 32.16
## 4067 0 14000 3 3 15.31 60000.00 14.26
## 4068 0 7000 3 2 10.75 60000.00 20.76
## 4069 0 19200 3 2 11.14 64000.00 29.01
## 4070 0 16000 3 2 9.17 80000.00 24.32
## 4071 1 10000 5 6 25.57 40000.00 24.90
## 4072 0 10000 3 2 9.17 65000.00 13.04
## 4073 0 20000 3 1 7.39 108000.00 17.04
## 4074 1 21000 5 5 22.45 125000.00 18.67
## 4075 0 16000 3 2 12.12 45000.00 18.99
## 4076 0 12800 3 3 13.33 65000.00 9.42
## 4077 0 14400 3 2 9.99 74000.00 8.76
## 4078 0 24000 5 3 12.29 70000.00 20.90
## 4079 0 8000 3 3 16.24 24360.00 15.52
## 4080 1 30000 5 3 13.67 76000.00 9.55
## 4081 0 10000 3 3 13.35 100000.00 5.47
## 4082 0 25000 5 4 17.57 75000.00 9.90
## 4083 0 25000 5 3 14.30 91000.00 12.57
## 4084 0 18000 3 1 7.99 75000.00 10.13
## 4085 0 24000 3 2 11.99 65000.00 26.31
## 4086 0 7200 3 2 11.99 40000.00 27.51
## 4087 0 40000 3 2 10.99 129000.00 16.50
## 4088 0 20000 3 1 6.68 90000.00 13.97
## 4089 0 17600 3 3 12.79 83000.00 25.28
## 4090 0 27675 3 4 18.99 80000.00 15.45
## 4091 0 7200 3 1 6.49 49000.00 13.53
## 4092 0 20000 3 2 8.18 74200.00 22.76
## 4093 1 3600 3 3 12.74 66000.00 12.82
## 4094 0 10500 3 2 8.38 73000.00 15.90
## 4095 0 27725 3 1 7.26 90000.00 27.52
## 4096 0 30000 3 1 5.31 240000.00 2.95
## 4097 0 19200 3 1 6.62 100000.00 10.98
## 4098 0 5000 3 1 6.89 75000.00 15.52
## 4099 0 3000 3 1 8.39 65000.00 31.61
## 4100 0 9800 3 2 9.75 62000.00 15.42
## 4101 0 10000 3 1 5.93 87000.00 2.63
## 4102 1 35000 3 4 18.06 65000.00 35.93
## 4103 0 8000 3 2 13.11 100413.00 29.12
## 4104 0 12000 3 1 7.49 54000.00 23.71
## 4105 0 3200 3 3 13.33 55000.00 22.15
## 4106 0 12000 3 2 10.49 54600.00 22.37
## 4107 0 23000 5 3 13.06 85500.00 28.42
## 4108 0 15000 3 1 7.90 57000.00 18.40
## 4109 0 3400 3 3 13.99 28000.00 22.46
## 4110 0 16000 5 4 21.49 85000.00 17.29
## 4111 0 16800 3 2 8.18 138000.00 21.22
## 4112 0 4000 3 2 11.39 28000.00 29.40
## 4113 0 15000 3 2 12.12 68000.00 6.86
## 4114 0 12000 3 3 14.08 70000.00 16.08
## 4115 0 36000 5 3 14.08 123000.00 26.60
## 4116 0 6225 3 2 9.67 35000.00 21.50
## 4117 0 30000 5 5 21.48 154000.00 13.68
## 4118 0 6000 3 2 11.49 97600.00 4.57
## 4119 0 2500 3 1 6.46 67000.00 10.96
## 4120 0 12000 3 2 9.75 80000.00 2.55
## 4121 1 15000 5 5 25.49 57400.00 17.44
## 4122 0 16500 5 3 12.69 53000.00 16.64
## 4123 0 20000 3 3 12.62 90000.00 11.82
## 4124 1 6000 3 3 13.33 21000.00 30.57
## 4125 1 4800 3 3 15.59 30000.00 4.08
## 4126 0 8000 3 2 9.71 135000.00 5.13
## 4127 0 9050 3 1 7.29 62130.00 15.26
## 4128 0 14400 3 1 6.89 60000.00 11.12
## 4129 0 14600 5 7 25.89 56000.00 20.60
## 4130 0 4800 3 2 9.99 54000.00 19.67
## 4131 0 16000 3 4 17.99 94000.00 14.59
## 4132 0 18000 3 2 10.49 49000.00 21.36
## 4133 0 10000 3 2 10.15 105000.00 9.46
## 4134 0 4000 3 3 13.99 63000.00 14.38
## 4135 0 16000 3 1 6.03 72000.00 24.17
## 4136 0 4200 3 2 10.99 67000.00 21.14
## 4137 0 10000 3 3 12.59 40000.00 18.53
## 4138 0 12000 3 1 7.89 60000.00 34.88
## 4139 0 27575 5 2 13.11 125000.00 23.06
## 4140 0 12000 3 2 9.91 50000.00 9.25
## 4141 0 20000 3 1 8.90 244000.00 11.67
## 4142 0 4200 3 3 15.99 75000.00 18.85
## 4143 0 16000 3 1 5.32 100000.00 11.21
## 4144 0 12000 3 1 7.62 105000.00 13.65
## 4145 0 5000 3 2 9.17 40400.00 33.69
## 4146 0 21400 5 4 15.61 53500.00 33.56
## 4147 0 4000 3 3 11.34 30000.00 8.32
## 4148 0 15000 3 1 7.26 50000.00 26.50
## 4149 0 28000 3 2 11.49 90000.00 17.95
## 4150 0 10000 3 2 9.75 125000.00 16.95
## 4151 1 7000 3 4 16.29 25000.00 35.19
## 4152 0 8000 3 1 7.89 50000.00 29.12
## 4153 0 19200 5 5 19.99 60400.00 21.28
## 4154 0 10000 3 2 11.53 84000.00 9.14
## 4155 1 12000 3 3 13.99 58000.00 3.21
## 4156 0 15000 3 2 9.75 85000.00 16.65
## 4157 0 30000 5 2 10.99 225000.00 15.15
## 4158 0 1800 3 1 6.72 40000.00 37.47
## 4159 0 11500 5 5 18.84 32000.00 33.50
## 4160 0 20000 5 4 15.41 61000.00 16.58
## 4161 0 15000 3 1 6.03 105000.00 9.55
## 4162 0 14000 3 2 10.75 57250.00 3.86
## 4163 0 10000 3 2 8.39 44000.00 26.36
## 4164 0 6000 3 3 12.74 50000.00 17.11
## 4165 0 30800 3 3 14.98 156000.00 14.63
## 4166 0 6000 3 2 10.42 54000.00 13.71
## 4167 0 5500 3 2 9.99 45000.00 4.56
## 4168 0 16000 3 1 5.93 100371.00 19.84
## 4169 0 16500 5 4 18.25 90000.00 18.81
## 4170 0 7975 3 4 16.99 40000.00 13.85
## 4171 0 29100 5 3 17.27 66100.00 27.23
## 4172 0 14500 3 2 11.22 48000.00 13.50
## 4173 1 5000 3 3 13.49 72000.00 27.38
## 4174 0 24000 3 1 7.62 90000.00 8.97
## 4175 0 8000 3 2 10.99 47000.00 19.89
## 4176 0 12000 5 3 14.30 45000.00 22.76
## 4177 0 25000 3 1 7.89 90000.00 25.61
## 4178 0 20000 3 2 10.42 70000.00 31.37
## 4179 0 20550 3 3 14.31 65000.00 28.16
## 4180 0 10000 3 3 14.08 65000.00 20.68
## 4181 0 5000 3 1 6.24 35000.00 14.59
## 4182 0 5525 3 2 11.67 50000.00 20.28
## 4183 0 15000 3 2 9.17 94000.00 22.30
## 4184 0 24000 3 1 6.24 95000.00 20.21
## 4185 0 20000 3 2 9.17 98000.00 7.60
## 4186 0 10000 5 2 10.99 40000.00 16.08
## 4187 0 24000 5 5 26.24 180000.00 25.18
## 4188 0 30000 5 3 16.14 79000.00 14.67
## 4189 1 10000 3 2 9.49 60000.00 22.06
## 4190 0 18000 5 3 13.66 120000.00 9.16
## 4191 0 28000 5 2 11.67 100239.96 25.84
## 4192 1 5000 3 2 11.99 39000.00 1.57
## 4193 0 4800 3 1 6.92 49000.00 6.71
## 4194 0 7000 3 1 5.32 200000.00 29.85
## 4195 0 20000 3 1 7.99 100000.00 11.93
## 4196 1 10000 3 3 15.61 90000.00 8.59
## 4197 0 5000 3 2 10.64 54000.00 17.96
## 4198 0 9400 3 3 13.49 28121.60 28.56
## 4199 1 9600 3 3 13.99 95000.00 35.59
## 4200 1 6150 3 3 12.99 54000.00 18.49
## 4201 0 15000 3 2 10.16 42000.00 12.63
## 4202 0 6000 3 5 23.99 38400.00 29.31
## 4203 0 12000 5 3 15.99 30000.00 7.60
## 4204 0 6975 3 5 19.52 80300.00 24.32
## 4205 0 32000 5 2 11.67 68300.00 8.61
## 4206 0 29100 3 3 14.33 65000.00 32.44
## 4207 0 12000 5 3 14.65 60000.00 11.90
## 4208 0 12000 5 4 21.85 33280.00 11.79
## 4209 0 8000 3 2 10.75 38600.00 25.75
## 4210 0 10000 3 2 9.99 84000.00 4.24
## 4211 0 4000 3 2 10.99 24000.00 3.50
## 4212 0 2800 3 3 12.99 35000.00 11.28
## 4213 0 7000 3 3 14.64 51000.00 2.85
## 4214 1 8000 3 4 18.49 108000.00 16.79
## 4215 0 19200 3 2 9.43 68700.00 18.20
## 4216 0 6000 3 2 9.49 55000.00 17.04
## 4217 0 35000 3 2 9.17 265000.00 12.62
## 4218 1 8000 3 4 16.29 30000.00 14.68
## 4219 0 10000 3 3 12.99 50000.00 23.19
## 4220 0 35000 3 3 14.46 110000.00 15.27
## 4221 0 18000 5 4 16.99 74000.00 14.21
## 4222 1 17200 3 2 11.53 62000.00 19.35
## 4223 0 8000 3 2 11.55 81000.00 18.41
## 4224 0 35000 3 2 10.99 115000.00 18.37
## 4225 0 5000 3 2 10.49 35000.00 14.99
## 4226 0 24500 3 1 7.69 139500.00 22.00
## 4227 0 12000 3 2 10.42 85000.00 29.93
## 4228 0 25000 3 1 6.03 85000.00 13.33
## 4229 0 7500 3 5 19.99 95000.00 28.44
## 4230 0 15000 3 1 5.93 97090.00 1.35
## 4231 1 22500 5 4 17.57 85000.00 24.17
## 4232 1 4950 3 7 25.83 16689.00 38.99
## 4233 0 15000 3 2 10.64 60000.00 13.60
## 4234 0 28000 3 1 6.39 284000.00 11.62
## 4235 0 10000 3 1 7.89 74000.00 18.57
## 4236 1 20000 5 3 12.69 85000.00 31.50
## 4237 0 6625 3 4 17.77 31000.00 12.00
## 4238 0 15000 3 1 6.62 85000.00 7.98
## 4239 0 20750 5 5 18.25 55000.00 22.63
## 4240 1 9900 3 4 16.55 95000.00 17.41
## 4241 0 10000 3 1 6.03 150000.00 2.80
## 4242 0 14925 3 2 10.99 75000.00 28.03
## 4243 0 18125 5 6 22.99 54000.00 32.04
## 4244 0 5000 3 5 18.99 40000.00 16.92
## 4245 0 5100 3 4 18.24 17000.00 24.01
## 4246 0 35000 3 3 13.33 108000.00 34.10
## 4247 0 15000 3 3 14.49 68000.00 18.32
## 4248 0 12000 5 3 14.33 36000.00 18.87
## 4249 1 20000 5 3 15.99 95000.00 20.53
## 4250 0 3625 3 3 14.99 48000.00 33.65
## 4251 1 18425 5 4 18.24 42000.00 17.71
## 4252 0 22100 5 6 24.89 55000.00 21.73
## 4253 0 4800 3 2 9.99 90000.00 2.52
## 4254 0 12000 5 5 24.99 64000.00 29.08
## 4255 0 24000 3 1 8.39 105000.00 14.61
## 4256 0 4425 3 4 17.99 53000.00 26.88
## 4257 0 15000 5 3 13.99 50000.00 18.22
## 4258 0 4000 3 2 11.49 50000.00 11.57
## 4259 0 16000 5 4 18.99 40000.00 12.60
## 4260 0 12500 3 3 15.31 110000.00 18.69
## 4261 0 4000 3 2 11.49 57621.00 26.93
## 4262 0 20000 3 1 7.12 150000.00 5.62
## 4263 0 35000 5 4 18.25 81000.00 25.45
## 4264 1 27600 5 4 16.55 75000.00 21.09
## 4265 0 18000 3 2 9.17 89440.00 12.14
## 4266 0 5000 3 2 8.18 48000.00 32.30
## 4267 1 12550 3 4 18.25 29900.00 40.75
## 4268 0 10000 3 1 5.32 86500.00 23.74
## 4269 1 15000 5 3 16.02 110000.00 10.86
## 4270 0 30000 5 4 19.42 125000.00 15.99
## 4271 0 20000 5 2 11.48 130000.00 12.33
## 4272 0 28000 3 1 7.89 180000.00 15.77
## 4273 0 21600 3 4 18.75 77000.00 26.21
## 4274 0 10000 3 2 9.92 45000.00 10.51
## 4275 0 25000 5 2 11.99 60000.00 26.72
## 4276 0 5000 3 4 15.99 35000.00 35.05
## 4277 0 6000 3 2 10.91 30000.00 19.84
## 4278 0 17200 3 2 10.99 63000.00 14.14
## 4279 0 9325 3 4 17.99 55000.00 18.27
## 4280 0 3225 3 3 14.65 22000.00 16.31
## 4281 0 10000 5 2 11.49 124000.00 18.43
## 4282 0 12000 3 2 9.99 100000.00 6.08
## 4283 0 32000 5 4 21.49 75000.00 26.38
## 4284 0 10000 3 5 18.99 77000.00 16.08
## 4285 0 25000 3 1 6.49 180000.00 8.35
## 4286 0 7100 3 4 15.61 82000.00 9.92
## 4287 0 15000 5 3 14.16 55000.00 20.25
## 4288 0 25550 5 5 23.99 71050.00 9.73
## 4289 0 20400 5 3 13.67 65000.00 25.00
## 4290 0 26400 5 2 13.11 210000.00 24.44
## 4291 0 18500 5 4 15.61 145000.00 10.25
## 4292 0 3200 3 2 9.92 26400.00 4.32
## 4293 0 20000 3 2 9.17 75000.00 29.26
## 4294 0 7000 3 3 14.65 60000.00 16.16
## 4295 0 35000 3 1 7.97 150000.00 10.04
## 4296 0 5000 3 2 9.16 60000.00 20.49
## 4297 0 22000 5 3 12.88 60000.00 20.90
## 4298 0 24000 3 2 11.47 75000.00 32.15
## 4299 0 16000 3 3 12.29 53000.00 24.33
## 4300 1 25325 5 6 25.57 79000.00 12.70
## 4301 0 13475 3 6 24.08 41000.00 7.61
## 4302 1 8000 3 3 11.99 63000.00 32.88
## 4303 0 7800 3 1 5.32 100000.00 15.53
## 4304 0 16000 3 1 8.19 117000.00 12.12
## 4305 0 24000 3 1 6.17 105000.00 12.31
## 4306 0 4475 3 5 20.20 34000.00 29.44
## 4307 0 8500 3 2 9.16 100000.00 2.62
## 4308 0 6725 3 3 15.31 43000.00 39.63
## 4309 1 10000 5 4 17.97 120000.00 25.10
## 4310 0 19000 3 2 11.55 87078.00 16.26
## 4311 0 15000 5 3 14.99 80000.00 10.24
## 4312 0 10000 3 2 10.64 60000.00 3.08
## 4313 0 16000 3 2 12.12 40000.00 25.59
## 4314 0 21000 3 2 14.09 95000.00 23.82
## 4315 0 2400 3 4 16.29 55000.00 28.59
## 4316 0 12800 3 2 12.35 82162.00 24.11
## 4317 1 5400 3 6 24.50 75000.00 3.76
## 4318 0 2650 3 2 10.99 44000.00 25.04
## 4319 0 7500 3 2 9.49 100000.00 10.80
## 4320 1 19000 3 1 8.90 110000.00 2.07
## 4321 0 14500 3 2 9.67 100000.00 10.03
## 4322 1 5000 3 3 12.88 90000.00 22.63
## 4323 0 8000 3 3 12.39 51000.00 20.87
## 4324 1 18000 5 3 13.18 64000.00 21.43
## 4325 1 6000 3 3 16.01 65000.00 0.00
## 4326 0 12000 3 2 11.49 97000.00 13.94
## 4327 1 8000 3 3 14.49 51648.00 26.12
## 4328 0 6000 3 2 13.53 68000.00 30.66
## 4329 1 12000 5 5 18.99 94224.00 18.04
## 4330 0 4000 3 4 15.61 32000.00 21.01
## 4331 0 5000 3 2 11.49 140000.00 8.77
## 4332 0 23675 3 2 14.09 54000.00 24.78
## 4333 0 5000 3 2 10.16 35000.00 27.36
## 4334 1 20100 3 2 13.11 97000.00 14.87
## 4335 0 13800 3 4 15.61 53111.00 7.03
## 4336 1 35000 3 4 17.27 100000.00 12.37
## 4337 0 35000 3 2 9.17 240000.00 18.92
## 4338 0 22800 3 5 18.99 110000.00 16.33
## 4339 0 21700 3 3 15.99 73500.00 21.91
## 4340 0 24000 3 3 12.62 82000.00 8.01
## 4341 0 12000 3 3 15.80 53000.00 21.42
## 4342 0 18500 3 1 5.32 105000.00 18.75
## 4343 1 28000 3 4 16.99 125000.00 12.27
## 4344 0 10000 3 1 7.39 47532.00 11.61
## 4345 0 14000 5 5 22.39 53000.00 31.36
## 4346 0 12000 3 2 11.53 55000.00 23.11
## 4347 0 1800 3 2 13.11 37000.00 12.94
## 4348 0 15000 3 2 10.99 49400.00 14.24
## 4349 1 10500 3 3 15.80 55000.00 13.13
## 4350 0 35000 3 3 14.65 186000.00 18.04
## 4351 0 13700 3 1 8.19 32000.00 17.97
## 4352 0 20000 5 5 18.54 70000.00 34.49
## 4353 0 25000 3 3 14.46 120000.00 15.69
## 4354 1 2400 3 7 27.34 35000.00 13.89
## 4355 0 10450 5 5 18.25 31000.00 28.53
## 4356 0 4000 3 2 12.99 51000.00 22.42
## 4357 0 35000 3 1 7.91 450000.00 3.72
## 4358 0 3200 3 2 14.09 36000.00 22.27
## 4359 0 10000 3 1 5.32 300000.00 21.01
## 4360 0 24000 5 2 11.67 105000.00 25.84
## 4361 0 25000 3 1 5.32 100000.00 7.42
## 4362 1 13875 5 5 22.45 45000.00 18.03
## 4363 0 12000 3 1 8.59 60000.00 23.94
## 4364 0 10000 3 3 15.31 63041.00 10.62
## 4365 1 32750 3 4 16.99 102500.00 18.08
## 4366 0 25000 3 3 14.99 100000.00 28.27
## 4367 0 15600 3 2 9.17 90000.00 2.63
## 4368 1 10000 3 2 10.78 60000.00 24.32
## 4369 1 7000 3 3 13.98 62000.00 28.26
## 4370 1 15000 5 3 13.99 48000.00 8.08
## 4371 0 8000 3 1 5.32 82000.00 17.36
## 4372 0 20000 3 1 7.62 90000.00 14.12
## 4373 0 3500 3 1 6.68 45000.00 15.87
## 4374 1 2125 3 5 21.99 43000.00 4.41
## 4375 0 11000 3 1 7.89 125000.00 15.86
## 4376 0 8000 3 2 11.22 52668.00 19.53
## 4377 0 16000 3 2 9.49 106000.00 9.96
## 4378 1 25000 5 3 14.46 65000.00 19.83
## 4379 0 21000 5 4 16.59 155000.00 9.29
## 4380 0 7200 3 2 10.99 35000.00 8.23
## 4381 0 35000 3 2 8.18 450000.00 2.67
## 4382 0 2400 3 1 7.07 115000.00 11.07
## 4383 1 35000 3 3 13.33 92000.00 19.21
## 4384 0 16000 5 3 12.99 65000.00 18.24
## 4385 1 35000 5 4 18.25 195000.00 21.67
## 4386 1 7200 3 3 12.99 75000.00 26.29
## 4387 0 9000 3 1 6.03 63112.48 15.27
## 4388 0 13000 3 2 10.42 69000.00 11.46
## 4389 1 22350 3 4 15.59 59000.00 27.42
## 4390 1 9100 3 3 14.65 27000.00 30.27
## 4391 0 20000 5 4 17.14 75000.00 23.64
## 4392 0 9025 3 5 18.25 40000.00 33.18
## 4393 1 30000 5 6 22.95 76000.00 28.42
## 4394 1 25375 5 3 12.74 100000.00 5.93
## 4395 0 10500 3 1 5.32 93600.00 10.81
## 4396 0 15000 3 2 9.17 141000.00 10.48
## 4397 0 6350 5 3 16.78 70000.00 30.34
## 4398 0 3600 3 2 10.99 40000.00 20.34
## 4399 0 12000 5 3 14.65 54332.00 24.32
## 4400 0 2400 3 2 9.17 60000.00 13.86
## 4401 0 4000 3 2 10.91 50000.00 17.91
## 4402 0 10075 3 3 14.49 28000.00 11.53
## 4403 0 28000 3 3 13.99 82800.00 20.57
## 4404 0 7500 3 5 19.99 42000.00 9.23
## 4405 1 9500 3 2 11.53 74000.00 23.45
## 4406 0 15000 3 3 12.29 40000.00 11.55
## 4407 1 20000 5 3 14.65 51000.00 17.90
## 4408 1 3500 3 6 22.99 25000.00 11.47
## 4409 0 7500 3 3 12.74 40000.00 29.34
## 4410 0 8400 3 1 6.03 85000.00 9.40
## 4411 0 35000 3 2 8.18 171321.00 2.34
## 4412 0 9800 3 1 5.32 42000.00 3.37
## 4413 0 12000 3 2 10.49 52000.00 20.89
## 4414 0 20000 3 2 8.49 61097.00 27.14
## 4415 0 25000 3 1 7.26 200000.00 7.41
## 4416 0 20000 5 4 19.03 118000.00 7.42
## 4417 0 5400 3 4 19.99 25000.00 25.31
## 4418 1 16000 3 1 7.35 110000.00 10.91
## 4419 0 20000 5 5 18.25 85000.00 21.69
## 4420 0 14000 3 2 9.17 56200.00 14.37
## 4421 0 6000 3 2 9.67 42000.00 25.37
## 4422 0 5000 3 4 16.55 45000.00 19.76
## 4423 1 7900 3 4 17.57 33400.00 28.85
## 4424 0 10000 3 2 10.49 51600.00 21.40
## 4425 0 13500 3 2 11.99 56040.00 5.48
## 4426 0 26000 3 1 6.97 72000.00 22.54
## 4427 0 13150 5 3 12.29 51055.00 32.06
## 4428 0 14400 3 1 6.49 69000.00 21.40
## 4429 0 1700 3 3 15.80 39000.00 6.22
## 4430 0 15000 3 2 9.99 93000.00 15.83
## 4431 0 15000 3 2 11.53 98000.00 33.25
## 4432 0 15000 3 2 9.99 56000.00 35.43
## 4433 0 5000 3 3 12.29 49640.00 19.46
## 4434 0 2000 3 5 24.74 100000.00 17.16
## 4435 0 10000 3 2 10.99 50000.00 18.46
## 4436 0 10000 3 3 13.18 51000.00 34.26
## 4437 1 6000 3 2 10.15 64000.00 9.88
## 4438 1 4000 3 2 11.36 22000.00 10.53
## 4439 0 35000 3 3 15.99 108000.00 28.09
## 4440 0 4300 3 3 12.99 55301.00 34.80
## 4441 1 18000 5 5 18.25 80000.00 15.77
## 4442 0 15175 3 4 19.47 40000.00 23.61
## 4443 0 34000 5 3 15.31 88000.00 12.09
## 4444 0 3575 3 4 17.57 25000.00 15.75
## 4445 0 12000 5 3 13.99 40000.00 7.80
## 4446 0 15000 3 2 8.24 65000.00 22.21
## 4447 0 24000 5 3 13.99 90000.00 6.25
## 4448 0 10000 3 2 10.99 33000.00 3.93
## 4449 0 8000 3 1 6.24 160000.00 17.33
## 4450 1 15525 5 5 20.50 37000.00 30.85
## 4451 0 25000 5 3 16.01 150000.00 9.23
## 4452 1 5000 3 2 9.49 35000.00 21.27
## 4453 0 8150 3 3 13.99 34000.00 22.49
## 4454 0 6750 3 3 12.29 54000.00 29.18
## 4455 0 4800 3 2 11.39 22128.00 1.36
## 4456 0 18000 5 3 14.16 57000.00 9.92
## 4457 0 28000 3 3 13.98 140000.00 7.60
## 4458 0 2500 3 3 11.99 27450.00 27.02
## 4459 0 18000 3 1 5.32 94000.00 10.39
## 4460 1 2750 3 4 18.25 14500.00 22.76
## 4461 0 20000 5 3 14.49 70000.00 13.08
## 4462 1 17875 5 3 14.33 68000.00 6.76
## 4463 0 22075 3 2 10.99 140000.00 17.77
## 4464 1 28200 5 5 20.50 85000.00 16.09
## 4465 0 20000 3 2 8.38 75000.00 11.22
## 4466 0 15000 3 3 12.99 50000.00 17.79
## 4467 0 10000 5 4 19.99 53000.00 18.93
## 4468 0 8000 3 3 14.46 81250.00 30.59
## 4469 0 15000 3 1 8.39 120000.00 3.19
## 4470 0 7000 3 3 15.59 62000.00 1.24
## 4471 0 15000 3 2 9.75 59000.00 20.00
## 4472 0 20000 3 3 13.33 60000.00 30.18
## 4473 0 25000 5 4 16.99 82000.00 9.19
## 4474 0 5000 3 1 7.39 57110.00 4.85
## 4475 0 19000 3 5 20.20 60000.00 19.00
## 4476 0 12000 3 3 14.49 85000.00 30.54
## 4477 0 8500 3 1 7.89 125000.00 15.93
## 4478 0 16000 3 2 13.11 85000.00 19.60
## 4479 0 17000 3 1 7.49 55000.00 20.60
## 4480 0 20000 3 1 7.97 116000.00 18.74
## 4481 0 22000 5 2 11.99 90000.00 12.09
## 4482 0 12000 3 2 11.99 70000.00 20.97
## 4483 0 8000 3 3 15.31 30000.00 13.12
## 4484 0 10000 3 3 12.69 42000.00 22.83
## 4485 0 17000 3 5 24.85 75000.00 25.98
## 4486 0 10000 3 3 15.99 95000.00 4.31
## 4487 0 8000 3 1 6.68 125000.00 7.64
## 4488 0 15000 3 2 9.16 60000.00 15.89
## 4489 0 12750 3 2 8.18 47690.00 24.84
## 4490 1 24975 5 5 19.19 72000.00 39.67
## 4491 0 6000 3 2 9.93 98000.00 11.95
## 4492 0 21000 3 2 10.47 185000.00 9.15
## 4493 0 8000 3 2 11.14 175000.00 15.13
## 4494 1 9300 3 2 9.17 52000.00 25.73
## 4495 0 17775 5 5 20.75 60000.00 26.80
## 4496 0 20000 5 3 14.99 90000.00 24.75
## 4497 1 12000 3 1 7.89 120000.00 13.34
## 4498 0 19200 5 3 13.33 56600.00 17.49
## 4499 0 17000 5 3 12.69 62000.00 11.48
## 4500 0 9000 3 4 18.49 65000.00 20.01
## 4501 0 4500 3 2 10.64 54000.00 21.11
## 4502 0 5000 3 2 9.44 40000.00 14.67
## 4503 0 20000 5 4 15.61 65000.00 33.70
## 4504 0 35000 5 6 29.99 180000.00 9.90
## 4505 0 13000 3 3 12.62 68000.00 25.89
## 4506 0 5000 3 2 9.17 170000.00 18.41
## 4507 0 25000 3 1 6.03 109000.00 3.55
## 4508 0 14475 5 4 18.99 54000.00 18.33
## 4509 0 15000 3 2 9.99 63000.00 8.69
## 4510 0 10625 3 5 19.99 50000.00 23.98
## 4511 0 3000 3 3 12.62 42000.00 4.06
## 4512 0 18000 3 1 6.49 55000.00 11.73
## 4513 0 17625 3 2 11.14 40000.00 15.93
## 4514 0 12000 3 4 22.35 46000.00 27.79
## 4515 1 10000 5 2 10.99 70000.00 15.40
## 4516 0 30000 3 4 19.92 95000.00 33.47
## 4517 0 13000 5 3 13.49 66000.00 5.91
## 4518 0 5000 3 3 12.79 77000.00 11.10
## 4519 0 35000 3 2 8.49 260000.00 10.11
## 4520 1 14400 5 4 21.49 65000.00 25.42
## 4521 0 2150 3 1 7.24 116722.00 26.47
## 4522 1 35000 3 6 26.57 118000.00 3.70
## 4523 1 25200 5 3 15.59 59895.00 14.11
## 4524 0 8850 3 4 16.99 20160.00 31.07
## 4525 0 3000 3 2 10.49 116000.00 25.66
## 4526 0 8000 3 4 15.61 36000.00 19.87
## 4527 0 18000 3 3 13.67 180000.00 12.78
## 4528 0 12000 5 3 11.99 70000.00 16.78
## 4529 1 14000 5 3 13.99 37000.00 31.33
## 4530 0 1400 3 3 14.27 33000.00 3.05
## 4531 0 6625 3 4 17.57 40000.00 13.98
## 4532 1 25000 3 2 13.53 68000.00 15.73
## 4533 0 30000 3 4 16.99 85000.00 6.14
## 4534 0 23000 5 3 14.08 50000.00 19.08
## 4535 0 15600 5 4 15.61 60000.00 11.36
## 4536 0 27000 3 1 5.32 120000.00 23.52
## 4537 0 12000 3 1 7.35 120000.00 6.73
## 4538 0 14000 3 1 7.89 102000.00 13.10
## 4539 1 27000 3 3 14.33 60000.00 27.74
## 4540 0 7300 3 1 8.19 45000.00 26.80
## 4541 0 12675 5 4 16.99 40000.00 8.88
## 4542 0 15000 3 2 8.49 98000.00 11.89
## 4543 0 28000 3 2 9.17 100000.00 23.15
## 4544 0 8000 3 3 12.62 220000.00 13.78
## 4545 0 28000 3 1 5.32 140000.00 12.12
## 4546 1 15000 3 2 9.17 90000.00 9.91
## 4547 0 40000 3 2 10.49 135404.00 16.73
## 4548 0 25000 3 1 6.24 108000.00 9.16
## 4549 0 5000 3 3 13.58 20000.00 7.02
## 4550 1 12000 3 2 13.11 32000.00 23.81
## 4551 1 24000 5 5 23.99 75000.00 15.66
## 4552 0 15000 3 1 7.07 180000.00 0.41
## 4553 0 17850 5 4 17.86 63000.00 30.23
## 4554 0 1000 3 2 11.44 30000.00 21.24
## 4555 1 18000 3 4 16.49 60000.00 14.62
## 4556 0 9900 3 2 9.17 21538.00 29.10
## 4557 0 27200 3 3 13.98 120000.00 28.41
## 4558 0 2500 3 2 10.99 69000.00 19.15
## 4559 0 16000 5 3 14.99 95000.00 21.98
## 4560 0 9825 3 2 11.49 50000.00 28.25
## 4561 0 3000 3 2 9.44 45000.00 2.24
## 4562 0 9000 3 1 8.19 37499.00 20.29
## 4563 0 12000 5 2 10.42 75000.00 19.57
## 4564 0 7500 3 2 9.16 100000.00 14.98
## 4565 0 20000 5 5 25.82 130000.00 9.15
## 4566 0 31000 3 5 19.52 106000.00 22.08
## 4567 0 17575 3 3 15.05 40000.00 33.81
## 4568 0 20000 3 1 6.03 117000.00 8.91
## 4569 0 5000 3 4 15.57 60000.00 17.22
## 4570 1 20000 5 5 24.85 64000.00 30.13
## 4571 0 4000 3 1 6.89 80000.00 18.02
## 4572 1 35000 3 2 8.67 270000.00 9.90
## 4573 0 8000 3 4 17.77 80000.00 13.62
## 4574 0 13350 3 4 20.00 90000.00 3.04
## 4575 0 23000 3 2 11.99 220000.00 8.31
## 4576 1 17450 5 4 18.85 65000.00 25.37
## 4577 0 19200 3 2 8.18 140000.00 3.91
## 4578 0 8400 3 2 9.75 40000.00 27.27
## 4579 1 20000 3 3 13.67 65000.00 28.43
## 4580 1 9800 3 2 10.75 69800.00 15.14
## 4581 1 12000 5 3 15.31 53000.00 20.04
## 4582 1 16000 3 3 14.64 70000.00 18.96
## 4583 1 14000 5 3 12.29 45000.00 4.48
## 4584 0 5250 3 3 13.98 36350.00 4.56
## 4585 0 12000 3 1 5.32 98000.00 12.21
## 4586 0 30000 3 3 13.99 120000.00 20.32
## 4587 0 28000 3 2 11.99 185000.00 12.35
## 4588 0 20000 5 6 29.49 60000.00 21.78
## 4589 0 6800 3 2 9.76 60000.00 13.40
## 4590 1 8400 3 3 11.99 28000.00 25.59
## 4591 0 5000 3 2 11.49 82160.00 15.92
## 4592 0 7750 3 3 14.65 22000.00 32.24
## 4593 0 20000 3 3 12.39 80000.00 26.25
## 4594 0 11200 3 2 10.64 60000.00 30.08
## 4595 0 28000 3 2 10.99 168000.00 6.71
## 4596 0 40000 5 2 11.39 59103.91 19.23
## 4597 0 24000 5 3 11.99 114000.00 13.76
## 4598 0 9600 3 1 7.69 112000.00 25.28
## 4599 0 30000 5 3 14.49 115600.00 17.44
## 4600 0 2400 3 4 18.55 35000.00 13.21
## 4601 0 24000 3 2 9.99 131000.00 21.33
## 4602 1 20000 3 3 14.48 60000.00 22.96
## 4603 0 9600 3 2 12.12 52000.00 29.07
## 4604 0 3500 3 3 13.99 33549.00 13.02
## 4605 0 10000 3 2 9.17 84000.00 34.81
## 4606 0 15000 3 1 8.39 48000.00 17.80
## 4607 0 1200 3 5 22.15 44993.00 20.97
## 4608 0 17500 5 3 15.22 40000.00 16.17
## 4609 0 1300 3 3 14.49 4000.00 15.02
## 4610 0 21600 5 3 15.61 150000.00 23.34
## 4611 0 23875 5 6 24.50 80000.00 22.37
## 4612 0 4800 3 1 7.51 45000.00 9.87
## 4613 0 15000 3 2 12.99 39000.00 17.66
## 4614 0 30000 5 2 10.99 72000.00 4.57
## 4615 0 5000 3 3 12.79 35000.00 19.38
## 4616 1 4000 3 2 11.53 89329.20 36.11
## 4617 0 6600 3 3 16.24 26645.00 30.81
## 4618 0 7000 3 3 13.99 24000.00 29.16
## 4619 0 20000 3 4 18.49 101500.00 11.33
## 4620 0 8000 3 2 9.49 40000.00 9.54
## 4621 0 32000 3 3 13.65 200000.00 13.62
## 4622 0 14025 3 1 7.49 30500.00 20.66
## 4623 0 12000 3 2 9.17 75000.00 12.66
## 4624 0 24000 3 1 5.32 75000.00 14.42
## 4625 1 12000 3 3 12.29 40000.00 26.04
## 4626 0 25000 3 2 9.76 111000.00 23.29
## 4627 1 28000 3 1 6.49 150000.00 18.08
## 4628 0 9000 3 3 15.31 30000.00 29.36
## 4629 0 13000 3 5 25.82 48000.00 20.53
## 4630 0 8850 3 3 14.46 30000.00 32.52
## 4631 1 11200 5 4 15.61 40800.00 33.35
## 4632 0 7200 3 2 10.49 110000.00 5.77
## 4633 0 5475 3 3 13.49 29000.00 15.85
## 4634 0 10000 3 3 12.29 60500.00 24.42
## 4635 1 24000 5 3 15.31 60000.00 7.14
## 4636 1 9600 3 3 13.49 30803.00 27.08
## 4637 0 9100 3 3 13.67 76000.00 17.57
## 4638 0 10750 3 2 13.11 32000.00 19.73
## 4639 0 19000 3 3 13.67 91000.00 23.91
## 4640 0 14200 3 5 27.27 98353.00 21.21
## 4641 0 12000 3 2 13.67 112000.00 16.58
## 4642 1 16000 3 2 8.24 80000.00 10.89
## 4643 0 2150 3 2 11.39 50000.00 27.65
## 4644 0 5400 5 3 15.10 36000.00 25.00
## 4645 0 20000 3 2 11.14 95000.00 18.01
## 4646 0 21575 3 3 13.67 180000.00 12.35
## 4647 0 15600 5 4 19.53 75000.00 25.50
## 4648 0 24000 3 1 7.26 80000.00 10.42
## 4649 0 13775 3 3 14.65 30000.00 27.88
## 4650 1 14500 3 2 10.75 45760.00 18.51
## 4651 0 7500 3 3 12.29 27401.93 13.84
## 4652 0 5000 3 2 13.11 230000.00 11.29
## 4653 0 10500 5 3 14.47 44950.10 17.54
## 4654 0 11200 3 2 10.99 71000.00 9.74
## 4655 0 24000 3 2 12.49 92500.00 17.59
## 4656 0 4900 3 2 12.12 30000.00 18.72
## 4657 0 35000 5 5 18.99 102000.00 26.41
## 4658 0 18000 3 1 5.32 160000.00 7.56
## 4659 0 12600 3 2 9.17 52250.00 24.55
## 4660 1 35000 3 2 12.85 152000.00 15.79
## 4661 1 25000 3 2 12.42 75000.00 11.20
## 4662 0 21000 3 2 9.99 125000.00 11.21
## 4663 0 23850 5 6 24.89 53000.00 32.26
## 4664 0 2400 3 3 14.65 20000.00 3.54
## 4665 0 35000 3 2 9.99 150000.00 15.99
## 4666 0 10000 3 1 6.99 82700.00 7.76
## 4667 0 9075 3 2 9.67 131000.00 16.43
## 4668 0 12000 3 1 6.03 100000.00 10.56
## 4669 1 10000 3 4 18.45 21000.00 2.63
## 4670 0 16000 3 4 19.99 65000.00 33.71
## 4671 0 22400 3 2 9.17 75000.00 10.29
## 4672 0 12000 3 3 14.99 65753.60 10.91
## 4673 1 8400 3 2 11.49 27000.00 7.60
## 4674 0 35000 5 3 14.65 138000.00 0.00
## 4675 0 6400 3 1 6.49 28957.00 19.60
## 4676 0 20400 3 2 11.99 51000.00 35.34
## 4677 0 22200 3 4 21.49 55000.00 15.64
## 4678 0 20000 3 1 6.03 135000.00 18.77
## 4679 0 13300 3 1 7.89 105000.00 6.52
## 4680 1 10000 3 1 6.49 98000.00 15.83
## 4681 0 5825 3 3 15.80 26148.00 17.85
## 4682 0 4800 3 1 7.99 72000.00 15.23
## 4683 0 24000 5 3 13.99 101000.00 6.84
## 4684 0 10000 5 3 13.67 45000.00 8.13
## 4685 0 27200 3 1 7.89 100000.00 8.96
## 4686 1 30000 5 6 22.99 60000.00 18.87
## 4687 0 35000 5 4 19.22 100000.00 17.46
## 4688 0 7500 3 2 11.49 120000.00 24.94
## 4689 1 12350 5 5 20.99 44000.00 32.27
## 4690 0 21000 3 2 13.11 95000.00 12.24
## 4691 0 10000 3 3 12.59 35000.00 14.13
## 4692 0 8500 3 1 6.62 104000.00 19.15
## 4693 0 10800 5 3 12.69 50000.00 34.37
## 4694 1 24000 5 3 12.29 185000.00 11.29
## 4695 0 15600 3 2 9.49 73000.00 18.99
## 4696 0 8000 3 2 9.49 180000.00 8.89
## 4697 0 18000 3 2 8.24 60000.00 7.22
## 4698 0 35000 5 2 10.99 275000.00 8.52
## 4699 0 12000 3 3 12.69 50000.00 21.80
## 4700 0 4400 3 3 14.33 27680.00 19.55
## 4701 0 30000 3 3 13.35 112000.00 13.20
## 4702 0 10075 3 3 15.31 60000.00 34.30
## 4703 0 14675 3 3 12.69 75000.00 15.26
## 4704 0 25000 3 2 11.53 66000.00 8.25
## 4705 1 10000 5 3 11.99 65000.00 29.28
## 4706 0 3225 3 4 18.99 42000.00 16.68
## 4707 0 35000 3 3 12.99 130000.00 15.61
## 4708 0 9000 3 3 13.67 38000.00 13.62
## 4709 0 30000 3 2 11.47 126476.00 29.91
## 4710 0 21000 5 3 15.61 70000.00 18.79
## 4711 1 18000 5 4 19.03 40000.00 19.74
## 4712 1 10000 3 2 9.16 125000.00 8.56
## 4713 0 21000 3 3 14.65 150000.00 12.40
## 4714 0 30000 5 6 23.70 80000.00 12.57
## 4715 0 10000 3 2 11.49 48000.00 25.90
## 4716 0 11200 3 2 9.17 41000.00 18.27
## 4717 0 5450 3 3 14.49 34000.00 27.39
## 4718 0 5000 3 4 17.57 29120.00 38.50
## 4719 0 12075 5 4 18.25 55000.00 39.47
## 4720 0 10000 3 2 10.99 38188.00 21.06
## 4721 0 6000 3 3 13.66 49300.00 2.00
## 4722 0 9000 3 3 14.33 194500.00 15.86
## 4723 0 35000 5 3 13.98 98217.00 17.13
## 4724 0 10000 5 3 15.22 88616.00 13.91
## 4725 0 10725 3 6 30.17 70000.00 5.07
## 4726 0 12000 3 2 11.53 36000.00 29.70
## 4727 1 3000 3 5 18.99 60000.00 11.30
## 4728 0 18000 3 2 9.17 82000.00 19.28
## 4729 0 26500 5 7 25.80 60000.00 13.14
## 4730 0 6000 3 2 12.12 120000.00 23.66
## 4731 0 8000 3 3 13.35 32000.00 9.60
## 4732 0 4000 3 2 12.49 25000.00 10.51
## 4733 0 7000 3 2 8.39 45000.00 18.69
## 4734 0 14125 3 4 18.75 91000.00 9.17
## 4735 0 7200 5 2 11.49 35328.00 16.78
## 4736 1 3600 3 2 8.18 32000.00 30.46
## 4737 0 5000 3 2 9.99 20125.56 21.41
## 4738 0 10000 5 3 13.67 55000.00 19.70
## 4739 0 23375 5 2 8.39 78000.00 28.95
## 4740 0 25325 5 5 22.74 115008.00 21.60
## 4741 0 7000 3 3 13.33 35000.00 27.54
## 4742 0 4000 3 1 7.39 49500.00 16.90
## 4743 0 21000 3 1 5.32 135000.00 21.38
## 4744 0 18000 5 6 27.49 75000.00 17.91
## 4745 1 7200 3 5 20.20 55000.00 14.66
## 4746 1 27050 5 6 23.76 60345.00 27.90
## 4747 0 30000 3 4 15.61 75000.00 21.58
## 4748 0 24000 3 1 6.99 120000.00 20.17
## 4749 0 6500 3 3 13.33 33800.00 25.25
## 4750 0 10000 3 2 10.99 120000.00 10.39
## 4751 0 14000 3 2 11.44 55000.00 16.91
## 4752 0 12000 3 2 9.75 56000.00 14.12
## 4753 0 8000 3 2 8.67 62000.00 33.99
## 4754 0 6000 3 1 7.69 30000.00 8.52
## 4755 1 10000 3 3 12.62 120000.00 10.91
## 4756 0 12000 3 2 11.14 61000.00 19.22
## 4757 0 32000 3 6 22.78 95000.00 21.45
## 4758 0 10000 3 3 16.02 40000.00 34.19
## 4759 1 9525 3 5 19.52 38000.00 20.12
## 4760 0 35000 3 1 7.89 215000.00 10.45
## 4761 0 15000 3 1 7.89 63000.00 23.49
## 4762 0 28000 3 1 6.49 98000.00 19.95
## 4763 0 4500 3 2 10.99 48000.00 6.60
## 4764 0 3000 3 3 14.46 48000.00 12.78
## 4765 0 14000 3 3 14.33 53783.00 10.22
## 4766 0 8400 3 2 10.91 45000.00 17.49
## 4767 0 6050 3 2 11.53 48500.00 19.38
## 4768 0 9150 3 4 18.25 52000.00 11.10
## 4769 0 7000 3 2 11.49 55000.00 6.92
## 4770 0 20000 3 1 7.89 85000.00 24.54
## 4771 0 12000 3 1 6.03 118000.00 1.59
## 4772 0 6000 3 1 7.24 54000.00 32.24
## 4773 0 35000 3 3 13.33 150000.00 12.28
## 4774 0 6500 3 2 9.99 23000.00 8.22
## 4775 0 12000 3 2 10.99 61100.00 17.70
## 4776 0 22250 3 4 16.29 46400.00 44.62
## 4777 0 7200 3 2 10.49 80000.00 1.41
## 4778 0 7000 3 1 7.89 34000.00 22.52
## 4779 1 25000 5 5 22.74 115000.00 32.06
## 4780 0 8100 5 3 13.23 33600.00 7.75
## 4781 0 35000 3 1 7.91 120000.00 22.64
## 4782 0 13400 3 3 12.29 27000.00 27.73
## 4783 0 10000 5 3 15.05 41000.00 20.78
## 4784 0 3500 3 1 6.62 55000.00 13.40
## 4785 0 5000 3 2 9.17 28200.00 7.57
## 4786 0 2000 3 3 15.99 95100.00 23.32
## 4787 1 15000 5 5 24.74 57000.00 4.78
## 4788 1 22800 3 4 18.06 62000.00 27.87
## 4789 0 10000 3 1 7.26 70000.00 6.48
## 4790 0 9100 3 1 7.69 60000.00 15.68
## 4791 0 15300 3 2 9.17 63000.00 22.89
## 4792 0 13200 3 2 11.49 100000.00 10.44
## 4793 0 5000 3 1 7.90 43000.00 29.69
## 4794 0 24000 5 3 15.88 85500.00 14.79
## 4795 0 4800 3 2 11.99 50000.00 20.28
## 4796 0 10000 5 4 19.99 40000.00 31.95
## 4797 0 14400 3 2 12.49 108000.00 18.20
## 4798 1 13175 5 5 19.99 40000.00 24.48
## 4799 0 6000 3 2 9.99 114608.00 9.61
## 4800 0 5600 3 2 9.49 50000.00 7.38
## 4801 0 21000 3 3 13.98 65000.00 34.74
## 4802 0 10000 3 2 8.39 64000.00 14.93
## 4803 1 24000 5 5 18.84 58000.00 9.00
## 4804 1 8000 3 3 14.46 45000.00 17.15
## 4805 0 8000 3 3 12.29 42000.00 20.86
## 4806 1 12350 5 3 14.27 59000.00 22.72
## 4807 0 14400 5 3 13.49 62000.00 20.27
## 4808 0 9000 3 3 14.99 59000.00 16.84
## 4809 0 6400 3 1 6.49 160000.00 11.54
## 4810 0 6000 3 1 6.89 77000.00 13.93
## 4811 0 3950 3 4 15.77 57800.00 9.19
## 4812 1 20000 5 2 9.49 85000.00 24.67
## 4813 0 2000 3 2 11.99 105000.00 7.01
## 4814 0 17850 3 4 17.57 65000.00 10.89
## 4815 0 3000 3 4 17.57 23000.00 29.65
## 4816 0 3000 3 1 6.99 73440.00 7.17
## 4817 0 35000 5 3 13.35 165000.00 15.65
## 4818 0 10000 3 2 12.99 70000.00 23.86
## 4819 0 20000 3 2 10.15 65760.00 5.09
## 4820 1 16000 5 4 15.59 65500.00 26.55
## 4821 0 34425 3 6 26.49 70000.00 21.96
## 4822 1 31750 5 6 21.99 160000.00 4.34
## 4823 0 21000 3 1 7.90 150000.00 18.40
## 4824 0 15000 3 3 12.74 60000.00 17.96
## 4825 0 7500 3 6 22.99 25000.00 33.37
## 4826 0 15600 5 3 15.99 67000.00 24.00
## 4827 0 22500 5 3 15.31 57000.00 24.54
## 4828 0 10000 3 2 12.73 65000.00 17.28
## 4829 0 7000 3 2 9.75 101000.00 11.28
## 4830 1 30000 3 3 15.05 65000.00 10.93
## 4831 0 3000 3 2 9.93 70000.00 26.57
## 4832 0 12000 3 1 5.32 65000.00 8.47
## 4833 0 24000 3 1 7.49 120000.00 20.99
## 4834 0 10000 5 4 19.20 120000.00 16.38
## 4835 0 15600 5 4 17.57 44000.00 11.51
## 4836 0 20000 3 2 10.99 87436.00 28.13
## 4837 0 7000 3 2 12.49 40000.00 19.20
## 4838 1 2000 3 2 8.18 55000.00 7.75
## 4839 0 7400 3 2 10.74 90000.00 8.27
## 4840 0 8000 3 3 14.99 24000.00 13.60
## 4841 0 20000 5 3 14.27 64000.00 16.58
## 4842 0 1800 3 5 19.99 40500.00 25.13
## 4843 1 8000 3 4 18.75 44500.00 29.20
## 4844 0 14000 3 3 14.99 65000.00 15.53
## 4845 0 10000 3 1 7.99 100000.00 9.74
## 4846 0 18675 3 3 12.99 102875.00 9.25
## 4847 1 10000 3 1 7.26 74884.00 14.54
## 4848 1 19000 3 1 6.03 55000.00 10.76
## 4849 1 6600 3 4 17.57 41341.00 18.66
## 4850 0 9000 3 2 10.59 174708.00 8.94
## 4851 0 6875 3 3 12.69 55550.00 19.79
## 4852 1 20000 3 3 13.98 50000.00 29.58
## 4853 0 22250 5 3 16.29 50000.00 24.50
## 4854 1 25000 5 5 19.52 60500.00 12.90
## 4855 1 32000 5 3 12.62 45000.00 6.59
## 4856 0 11150 3 2 11.39 144731.00 10.60
## 4857 1 12000 3 2 10.16 43000.00 18.50
## 4858 0 15000 3 3 15.31 90000.00 11.84
## 4859 0 4800 3 3 14.33 64000.00 25.28
## 4860 0 15000 3 3 12.29 60000.00 19.62
## 4861 1 19200 3 2 11.47 52000.00 26.41
## 4862 0 14000 5 4 16.77 99000.00 13.47
## 4863 0 15050 3 4 17.99 48000.00 34.85
## 4864 0 15000 3 1 7.97 41600.00 15.81
## 4865 0 24000 5 2 9.49 87000.00 17.89
## 4866 0 5000 3 3 13.33 58000.00 15.35
## 4867 0 30000 5 2 12.73 50000.00 15.41
## 4868 0 15000 3 2 9.75 55000.00 21.58
## 4869 0 9600 3 3 12.62 57000.00 25.05
## 4870 0 20000 3 2 9.99 55000.00 22.54
## 4871 0 13150 3 5 21.18 76400.00 11.07
## 4872 0 6000 3 1 6.39 85000.00 11.62
## 4873 0 13200 5 2 11.99 95000.00 2.16
## 4874 0 30000 5 7 25.99 180000.00 14.07
## 4875 0 11075 3 4 19.99 62000.00 27.24
## 4876 0 32000 3 1 7.97 90000.00 25.00
## 4877 0 2575 3 4 17.57 36960.00 38.90
## 4878 0 16000 3 2 11.53 53000.00 23.08
## 4879 0 23500 5 3 13.23 51000.00 16.85
## 4880 0 25000 3 3 13.65 110000.00 6.20
## 4881 0 15000 3 2 12.99 55000.00 10.28
## 4882 0 18000 5 2 11.53 175000.00 25.23
## 4883 1 30000 5 5 22.74 75000.00 29.65
## 4884 1 9000 3 2 10.99 26520.00 27.10
## 4885 0 22400 3 3 12.99 75000.00 23.47
## 4886 1 20000 3 4 19.99 60000.00 33.62
## 4887 0 10000 3 2 13.53 70000.00 13.66
## 4888 0 7500 3 3 15.59 55000.00 21.49
## 4889 0 1500 3 3 13.33 105000.00 16.27
## 4890 0 28000 3 4 16.29 101000.00 19.24
## 4891 1 12000 5 5 18.25 107100.00 9.48
## 4892 0 5200 3 2 12.35 42600.00 11.66
## 4893 0 30000 3 3 13.99 72000.00 10.68
## 4894 0 31500 3 4 18.06 63000.00 11.83
## 4895 1 10000 5 4 18.24 45000.00 20.13
## 4896 1 15000 5 3 13.98 65000.00 16.91
## 4897 1 11000 5 4 17.27 69000.00 3.79
## 4898 0 6075 3 1 8.49 28800.00 28.75
## 4899 0 18000 3 1 7.39 95000.00 10.80
## 4900 0 9000 3 4 17.77 33650.00 14.73
## 4901 1 5000 3 2 12.12 20000.00 25.44
## 4902 0 12600 3 2 11.49 40000.00 34.46
## 4903 0 25000 5 5 20.99 130000.00 7.43
## 4904 1 15625 5 4 17.86 116000.00 35.31
## 4905 0 19500 3 2 10.42 38400.00 26.31
## 4906 0 9600 3 1 8.39 60000.00 22.88
## 4907 0 25000 3 1 7.49 56000.00 21.52
## 4908 1 10000 3 3 12.79 63000.00 11.09
## 4909 0 25000 3 1 6.49 167200.00 16.78
## 4910 1 18000 3 3 12.29 125000.00 13.85
## 4911 0 24300 3 5 18.25 130000.00 14.69
## 4912 0 25000 5 1 6.92 113000.00 11.38
## 4913 1 15000 5 5 20.99 52000.00 8.64
## 4914 0 5000 3 2 11.99 80591.00 11.82
## 4915 0 1000 3 2 12.42 36000.00 21.29
## 4916 0 12000 3 1 7.99 80000.00 17.84
## 4917 1 12175 3 2 12.35 50000.00 10.70
## 4918 0 12000 3 3 13.68 47000.00 14.14
## 4919 0 35000 5 5 21.18 85000.00 19.68
## 4920 0 34550 5 5 21.99 72000.00 7.82
## 4921 0 5000 3 2 10.47 70000.00 8.23
## 4922 0 24000 5 1 7.89 115000.00 25.75
## 4923 0 30000 3 2 9.75 99100.00 10.06
## 4924 0 25000 3 1 6.24 65000.00 31.24
## 4925 1 10000 3 1 6.89 72500.00 10.96
## 4926 0 25000 3 3 13.67 113809.00 9.45
## 4927 0 8125 3 1 7.59 50000.00 17.38
## 4928 0 6225 3 3 13.99 30366.00 16.56
## 4929 0 10000 5 1 7.89 94000.00 22.11
## 4930 1 12000 5 4 15.61 120000.00 3.20
## 4931 0 8325 3 5 21.00 24160.00 22.65
## 4932 0 6000 3 2 9.16 48000.00 22.25
## 4933 0 19200 3 3 12.39 75000.00 14.50
## 4934 0 6175 3 4 16.49 21000.00 22.06
## 4935 0 17125 5 6 21.99 47600.00 30.01
## 4936 1 20000 3 3 16.02 67000.00 13.60
## 4937 0 10000 3 2 8.99 125000.00 18.31
## 4938 1 10000 5 3 16.02 86000.00 23.87
## 4939 0 1400 5 3 13.80 29500.00 6.26
## 4940 1 36000 3 2 10.91 80000.00 7.40
## 4941 0 12500 3 5 23.88 79000.00 13.93
## 4942 0 15000 3 2 11.99 70000.00 4.51
## 4943 0 2400 3 2 8.24 91433.00 10.93
## 4944 0 10000 3 3 13.68 76763.00 33.55
## 4945 0 21000 3 1 7.69 85000.00 17.55
## 4946 0 24000 5 3 17.27 125000.00 21.72
## 4947 0 12250 3 4 17.77 35000.00 15.15
## 4948 0 7200 3 3 12.69 51000.00 25.91
## 4949 0 5000 3 3 12.29 25000.00 34.81
## 4950 0 28000 3 1 7.89 175000.00 16.39
## 4951 0 24375 5 3 15.10 54403.00 18.62
## 4952 1 24000 5 5 22.74 70000.00 16.75
## 4953 1 10000 5 4 17.09 92000.00 16.56
## 4954 1 5000 3 3 12.99 78000.00 31.72
## 4955 0 13000 3 2 9.17 73000.00 10.72
## 4956 0 10000 3 2 10.49 35000.00 15.12
## 4957 0 30000 5 2 10.78 98000.00 15.17
## 4958 0 12000 3 1 7.62 69000.00 13.62
## 4959 1 13825 3 2 11.49 60000.00 25.59
## 4960 1 25000 3 5 19.99 74000.00 11.22
## 4961 0 6000 3 2 9.71 71297.00 5.30
## 4962 1 5000 3 5 26.30 51400.00 34.46
## 4963 1 23225 5 5 22.45 65000.00 23.70
## 4964 0 7000 3 4 19.05 60000.00 26.87
## 4965 0 4000 3 2 9.16 54000.00 14.11
## 4966 0 6000 3 2 8.24 66000.00 27.74
## 4967 0 15600 3 2 10.99 62000.00 12.70
## 4968 1 15000 3 5 21.99 67000.00 16.82
## 4969 0 18000 3 2 12.49 71000.00 24.37
## 4970 0 11700 3 2 12.12 34000.00 16.67
## 4971 0 5100 3 3 12.29 35374.00 21.00
## 4972 0 7500 3 3 13.99 55000.00 27.38
## 4973 0 6500 3 2 12.12 42000.00 4.80
## 4974 0 16000 3 2 9.99 80000.00 20.25
## 4975 0 5000 3 1 7.89 50000.00 19.04
## 4976 1 12000 3 3 13.99 40000.00 16.62
## 4977 0 3025 3 2 9.44 35000.00 17.97
## 4978 0 10000 3 4 18.06 38000.00 33.92
## 4979 0 13000 3 2 14.09 80000.00 16.25
## 4980 0 17000 5 2 10.99 54000.00 29.11
## 4981 0 25000 5 6 29.69 80000.00 30.65
## 4982 0 35000 3 3 14.46 140000.00 29.09
## 4983 0 10000 3 2 12.35 55000.00 26.18
## 4984 0 10000 3 3 14.49 89000.00 15.47
## 4985 0 16000 5 1 7.26 125000.00 7.03
## 4986 0 7500 3 2 9.93 67750.00 11.53
## 4987 0 18700 3 5 18.99 39000.00 19.69
## 4988 0 9000 3 3 13.35 87500.00 13.18
## 4989 0 26000 3 1 6.89 130000.00 15.96
## 4990 0 8000 3 3 12.62 74000.00 5.90
## 4991 0 10000 3 3 15.80 58000.00 22.34
## 4992 0 24000 3 1 7.89 150000.00 3.01
## 4993 0 12000 3 1 6.49 37500.00 14.59
## 4994 0 25000 5 4 17.57 75000.00 23.58
## 4995 0 10000 3 1 6.49 57000.00 24.59
## 4996 0 9200 3 2 12.12 60000.00 21.92
## 4997 0 6000 3 2 11.99 45000.00 32.21
## 4998 0 22000 5 3 14.46 62000.00 11.50
## 4999 0 5000 3 3 13.98 118000.00 5.89
## 5000 0 15000 3 3 14.33 56000.00 23.25
## 5001 0 2500 3 2 9.17 93000.00 15.23
## 5002 1 35000 5 4 21.45 60000.00 21.46
## 5003 1 5000 3 1 8.39 27320.00 16.87
## 5004 0 32000 3 2 9.49 160000.00 9.46
## 5005 0 25000 3 3 14.03 110000.00 19.14
## 5006 0 18000 5 4 16.55 86000.00 9.22
## 5007 0 8600 3 4 17.57 53000.00 21.18
## 5008 0 10800 3 1 5.32 50000.00 19.78
## 5009 0 3000 3 2 11.47 85000.00 17.52
## 5010 0 5000 3 3 14.46 75000.00 17.02
## 5011 0 15000 3 1 7.89 77000.00 20.62
## 5012 0 6625 3 4 18.06 17076.00 20.24
## 5013 0 30000 3 2 8.24 262400.00 18.77
## 5014 1 9600 3 1 7.49 42000.00 16.74
## 5015 0 2400 3 2 10.99 103000.00 12.30
## 5016 0 24000 5 5 19.52 50000.00 23.12
## 5017 0 8000 3 2 12.49 41000.00 15.46
## 5018 0 2400 3 2 10.42 75000.00 13.12
## 5019 0 20000 3 1 5.32 107000.00 21.73
## 5020 0 7000 3 1 7.89 27000.00 26.76
## 5021 0 5000 3 2 11.53 50000.00 19.72
## 5022 0 25000 5 5 21.48 80000.00 12.84
## 5023 0 7200 3 1 5.32 59000.00 10.74
## 5024 0 18000 3 2 9.99 98994.00 12.21
## 5025 0 35000 3 3 13.35 110000.00 20.74
## 5026 1 14000 5 5 21.18 75000.00 9.84
## 5027 0 4000 3 3 11.99 130000.00 11.35
## 5028 0 7225 3 2 10.49 73000.00 1.23
## 5029 0 22825 3 7 30.79 134000.00 20.33
## 5030 0 6000 3 1 6.68 32000.00 22.88
## 5031 0 12000 3 1 6.89 45000.00 18.03
## 5032 0 25000 5 2 11.99 70000.00 26.47
## 5033 0 16000 5 3 13.18 49000.00 24.87
## 5034 0 10000 3 1 7.26 49920.00 7.34
## 5035 1 17000 5 2 11.44 120000.00 15.62
## 5036 0 22250 5 4 18.55 50000.00 23.09
## 5037 0 6000 3 1 6.49 90000.00 1.37
## 5038 0 31000 3 2 9.49 81955.00 13.76
## 5039 0 10500 3 1 7.62 60000.00 13.04
## 5040 0 24000 5 3 13.33 104700.00 22.50
## 5041 0 2500 3 1 7.49 50000.00 23.01
## 5042 0 8000 3 4 16.55 30000.00 12.80
## 5043 0 8875 3 2 13.11 35000.00 28.90
## 5044 0 5000 3 1 6.89 150000.00 8.98
## 5045 0 10800 3 4 16.55 30000.00 6.93
## 5046 0 14000 3 2 9.93 65000.00 27.27
## 5047 0 35000 3 2 9.99 97350.90 25.27
## 5048 1 13050 3 2 11.22 96000.00 6.81
## 5049 0 15000 3 2 8.18 140000.00 14.70
## 5050 0 17475 5 5 21.00 39000.00 29.69
## 5051 0 35000 5 3 13.98 143000.00 35.40
## 5052 0 11000 3 2 12.12 59000.00 11.04
## 5053 0 6500 3 2 8.99 65000.00 8.46
## 5054 0 10000 3 3 13.59 70000.00 3.24
## 5055 0 12000 3 3 13.67 36400.00 13.95
## 5056 0 12000 5 3 13.33 77000.00 8.24
## 5057 0 17275 3 2 9.99 54000.00 33.18
## 5058 0 14400 5 2 10.42 98000.00 4.71
## 5059 0 20000 3 1 6.03 52000.00 22.55
## 5060 1 11100 3 4 17.86 37000.00 22.12
## 5061 0 24000 3 2 11.99 137100.00 5.86
## 5062 0 3625 3 3 15.88 33500.00 14.65
## 5063 0 8500 3 3 13.33 40500.00 14.52
## 5064 1 8475 3 4 15.61 47000.00 12.21
## 5065 0 17000 3 2 10.75 55000.00 17.16
## 5066 0 24000 3 2 10.49 95000.00 19.68
## 5067 0 24000 3 3 12.79 60000.00 28.40
## 5068 0 20000 3 2 9.44 139000.00 15.51
## 5069 0 29500 3 2 12.35 71400.00 26.22
## 5070 1 15600 5 3 16.02 70183.00 22.21
## 5071 0 9000 3 5 23.99 27000.00 30.09
## 5072 0 10000 3 2 11.99 60000.00 13.16
## 5073 0 10000 3 2 10.75 200000.00 12.63
## 5074 0 28000 5 4 17.86 120000.00 20.98
## 5075 0 9600 3 2 8.67 75000.00 17.75
## 5076 0 20000 5 3 16.01 51700.00 28.37
## 5077 0 10000 3 3 12.68 44000.00 19.04
## 5078 0 18000 3 2 10.99 43000.00 17.50
## 5079 0 13500 5 3 13.49 48000.00 32.74
## 5080 0 12000 3 3 13.99 30160.00 14.88
## 5081 1 11200 3 4 15.99 45000.00 34.13
## 5082 0 13500 3 3 13.35 40000.00 16.71
## 5083 0 30000 5 4 17.86 84400.00 24.50
## 5084 0 20000 3 3 17.10 60000.00 18.86
## 5085 0 24150 3 3 13.99 82272.00 34.51
## 5086 0 4000 3 2 9.17 75000.00 30.95
## 5087 0 8900 3 2 8.24 82000.00 15.82
## 5088 0 20000 3 3 13.33 83512.00 38.81
## 5089 0 7500 3 3 12.29 50000.00 20.07
## 5090 0 6000 3 1 5.32 77000.00 21.56
## 5091 0 23850 5 4 17.57 53000.00 20.06
## 5092 1 7200 3 1 6.49 30000.00 23.20
## 5093 1 9000 3 2 11.53 31600.00 10.14
## 5094 0 10000 3 3 12.99 58000.00 31.57
## 5095 0 15000 3 2 10.15 100000.00 9.18
## 5096 0 12000 3 3 16.01 55000.00 26.90
## 5097 1 28000 3 3 14.49 85000.00 18.78
## 5098 0 23225 3 1 8.19 70000.00 36.68
## 5099 0 12650 3 2 11.53 36000.00 15.43
## 5100 0 30000 3 2 11.53 145000.00 19.75
## 5101 1 40000 5 4 20.39 55000.00 49.18
## 5102 0 35000 3 3 14.46 190000.00 0.66
## 5103 1 25000 3 3 13.49 100000.00 10.45
## 5104 0 5000 3 2 10.47 100000.00 13.64
## 5105 0 18000 3 3 14.49 75000.00 26.54
## 5106 0 7200 3 2 9.99 29000.00 33.61
## 5107 0 18000 5 2 9.99 45000.00 25.45
## 5108 0 24000 3 2 9.75 115000.00 24.16
## 5109 0 2800 3 3 12.29 70000.00 16.94
## 5110 0 15000 5 4 16.99 40000.00 13.77
## 5111 0 2200 3 1 7.35 95000.00 17.29
## 5112 0 32000 3 2 10.75 126996.00 6.07
## 5113 0 35000 5 5 18.25 91000.00 37.16
## 5114 1 25000 5 1 8.39 65000.00 24.80
## 5115 0 12000 3 1 8.90 60000.00 13.56
## 5116 1 10000 3 3 13.68 45000.00 22.29
## 5117 0 22250 5 3 15.80 50000.00 22.75
## 5118 1 16000 5 4 19.99 75000.00 31.86
## 5119 0 4000 3 2 10.99 200000.00 18.99
## 5120 0 3000 3 5 24.74 48000.00 16.85
## 5121 0 35000 5 4 16.99 79000.00 11.95
## 5122 0 20000 3 2 10.91 53000.00 19.78
## 5123 0 3300 3 1 6.49 57000.00 15.47
## 5124 0 11000 3 2 11.99 67000.00 5.55
## 5125 0 25000 3 1 7.62 84000.00 28.34
## 5126 0 9800 3 2 10.74 45000.00 19.93
## 5127 0 20000 3 1 5.32 120000.00 20.01
## 5128 0 15000 3 2 13.11 39000.00 28.15
## 5129 0 15000 3 2 9.17 70000.00 17.28
## 5130 0 15000 3 2 8.67 41457.49 15.98
## 5131 1 7500 3 2 11.49 48000.00 18.48
## 5132 1 20000 5 4 15.61 80000.00 16.89
## 5133 0 4500 3 1 7.99 125000.00 7.96
## 5134 1 20000 5 2 11.53 80000.00 18.21
## 5135 0 8000 3 1 7.12 55000.00 6.00
## 5136 1 14075 5 6 24.24 52000.00 38.36
## 5137 0 30000 3 1 7.26 95000.00 8.31
## 5138 0 27000 5 3 15.99 90000.00 22.27
## 5139 1 35000 3 2 10.99 120000.00 20.92
## 5140 0 10000 3 3 13.49 85000.00 9.28
## 5141 0 18000 5 1 7.39 70000.00 7.20
## 5142 0 20000 3 4 17.77 45000.00 12.61
## 5143 0 12000 3 1 6.49 112000.00 18.94
## 5144 0 21550 5 4 15.77 50000.00 21.15
## 5145 0 25000 3 1 8.19 130000.00 13.84
## 5146 1 20000 3 2 11.99 61000.00 15.05
## 5147 0 35000 5 4 19.22 95000.00 14.53
## 5148 0 35000 3 3 16.20 82000.00 13.50
## 5149 0 11500 3 3 14.99 54300.00 21.90
## 5150 0 10000 5 3 12.88 100000.00 16.63
## 5151 0 15000 5 3 16.91 64000.00 15.02
## 5152 0 20000 3 3 12.74 54546.00 26.25
## 5153 1 35000 5 3 12.69 75000.00 13.46
## 5154 1 7800 3 2 10.91 86790.00 11.05
## 5155 1 16500 5 3 13.66 65000.00 22.45
## 5156 1 35000 5 4 17.47 85000.00 16.17
## 5157 0 8000 3 3 14.47 50000.00 25.73
## 5158 0 20000 3 3 13.49 61000.00 21.03
## 5159 1 20000 5 5 21.99 103000.00 7.85
## 5160 0 8000 3 4 16.99 56000.00 1.46
## 5161 0 25000 5 3 14.65 72000.00 7.67
## 5162 0 8000 3 3 13.67 100000.00 16.70
## 5163 1 10000 3 3 13.33 61000.00 36.65
## 5164 0 25000 5 3 12.74 60000.00 32.60
## 5165 0 30000 5 6 24.99 98000.00 11.08
## 5166 0 18375 3 7 25.89 64000.00 14.49
## 5167 0 26200 5 5 21.00 67000.00 10.53
## 5168 0 15000 3 2 11.99 60000.00 19.38
## 5169 1 2000 3 4 17.86 20000.00 1.50
## 5170 0 7500 3 3 13.99 62000.00 22.03
## 5171 0 5000 3 2 10.99 63000.00 12.99
## 5172 0 12000 3 3 14.99 61000.00 25.26
## 5173 0 4800 3 4 17.27 49000.00 16.12
## 5174 0 16000 5 3 15.88 52000.00 2.93
## 5175 0 2500 3 2 10.49 69000.00 29.65
## 5176 0 12000 3 1 6.99 20000.00 30.37
## 5177 0 14000 5 4 17.57 42500.00 14.64
## 5178 1 24000 3 3 13.99 400000.00 5.63
## 5179 0 3000 3 3 14.46 50000.00 39.99
## 5180 1 13300 3 4 17.27 37000.00 25.27
## 5181 0 3000 3 2 10.99 27500.00 15.53
## 5182 0 15000 3 3 15.99 40000.00 19.62
## 5183 1 10000 3 3 14.46 66768.00 14.12
## 5184 0 15200 3 2 9.17 81000.00 16.68
## 5185 1 5000 3 4 16.55 40000.00 37.89
## 5186 1 15000 3 4 20.00 56000.00 22.16
## 5187 0 9925 3 1 7.90 73000.00 12.33
## 5188 0 4800 3 2 9.17 41000.00 3.69
## 5189 1 7000 3 1 6.92 110000.00 7.57
## 5190 1 4800 3 2 8.24 120000.00 19.78
## 5191 0 10000 3 2 12.49 31000.00 20.02
## 5192 0 36475 5 4 19.03 76000.00 6.57
## 5193 0 6000 3 1 6.49 82000.00 6.83
## 5194 0 9000 3 1 6.89 42175.00 26.66
## 5195 0 14000 5 6 24.50 40000.00 29.70
## 5196 1 1000 3 3 13.59 60000.00 13.06
## 5197 0 9925 3 2 11.55 32000.00 17.27
## 5198 0 10750 3 2 10.49 39000.00 18.03
## 5199 0 24000 3 1 5.32 223000.00 10.20
## 5200 0 29700 3 3 14.99 90000.00 19.16
## 5201 0 22000 3 1 6.03 115000.00 21.72
## 5202 0 16000 5 4 19.03 53500.00 21.28
## 5203 0 36000 3 2 11.49 52000.00 27.05
## 5204 0 8400 3 2 8.39 43000.00 30.45
## 5205 0 7000 3 2 8.99 95000.00 10.68
## 5206 0 6000 3 2 9.76 50000.00 8.28
## 5207 0 18000 5 3 13.98 42000.00 9.27
## 5208 0 30900 5 4 17.77 70090.00 8.54
## 5209 0 9000 3 1 7.90 74000.00 21.19
## 5210 0 24000 3 2 9.43 150000.00 10.59
## 5211 0 9600 3 2 11.14 34000.00 7.94
## 5212 0 28000 5 3 12.59 131000.00 27.90
## 5213 0 15000 5 4 16.99 82000.00 2.56
## 5214 0 10000 3 2 11.44 65000.00 5.43
## 5215 0 27000 5 2 10.99 75000.00 29.66
## 5216 0 11800 3 1 5.32 80000.00 19.55
## 5217 0 10000 3 2 11.44 64003.00 26.24
## 5218 0 4800 3 2 10.99 125000.00 6.36
## 5219 0 18000 3 2 9.16 108000.00 10.00
## 5220 0 8000 3 2 11.53 76800.00 8.98
## 5221 1 21000 5 4 19.03 64480.00 25.96
## 5222 0 14000 3 1 6.89 50000.00 26.52
## 5223 1 8400 3 3 14.99 46000.00 6.97
## 5224 1 6000 3 3 12.69 40000.00 22.11
## 5225 0 3000 3 1 7.66 50000.00 25.56
## 5226 1 30000 5 4 19.05 125000.00 11.21
## 5227 1 18000 5 4 17.14 74200.00 23.18
## 5228 0 12000 3 3 14.33 68000.00 22.28
## 5229 1 20050 5 5 22.45 63000.00 28.11
## 5230 0 5000 3 3 13.65 65940.00 13.12
## 5231 0 15000 3 3 13.33 93275.00 6.48
## 5232 0 5000 3 1 6.62 50000.00 27.10
## 5233 0 9150 3 3 14.65 56000.00 10.93
## 5234 0 13000 5 6 20.25 48000.00 7.83
## 5235 0 31000 3 1 7.96 108000.00 10.28
## 5236 0 6000 3 4 17.27 40000.00 20.13
## 5237 0 35000 3 2 10.99 90000.00 16.36
## 5238 0 10000 3 1 7.62 47000.00 25.99
## 5239 0 9000 3 2 13.11 90000.00 22.86
## 5240 0 4900 3 3 13.99 26000.00 28.25
## 5241 0 35000 3 4 16.29 135000.00 20.81
## 5242 0 16000 3 4 18.99 47000.00 25.13
## 5243 0 4500 3 1 7.96 90000.00 10.57
## 5244 1 25000 5 2 11.44 79000.00 22.00
## 5245 0 30000 5 2 11.48 119800.00 12.91
## 5246 0 18000 3 2 8.24 78000.00 11.48
## 5247 0 3200 3 1 7.88 9600.00 20.13
## 5248 0 3925 3 5 20.49 37400.00 30.87
## 5249 1 9600 3 3 12.99 24000.00 14.95
## 5250 0 10000 3 1 7.66 85000.00 7.26
## 5251 0 21925 5 2 10.99 205000.00 20.38
## 5252 0 14000 3 3 12.39 38496.00 22.66
## 5253 1 5000 3 3 15.31 26000.00 44.00
## 5254 0 10000 3 1 5.32 75000.00 19.25
## 5255 0 17450 5 5 21.00 110000.00 10.84
## 5256 0 5000 3 3 13.67 50000.00 8.40
## 5257 1 1800 3 4 15.61 20000.00 38.96
## 5258 0 25000 3 1 6.92 100499.98 14.50
## 5259 1 13500 5 4 18.92 51150.00 12.08
## 5260 0 10000 5 3 13.99 58000.00 13.18
## 5261 0 25000 5 4 17.57 65000.00 25.85
## 5262 0 1000 3 2 11.49 60000.00 22.42
## 5263 0 20000 3 2 11.49 72450.00 16.30
## 5264 0 11000 3 2 10.99 30000.00 20.72
## 5265 0 10000 3 2 10.99 94000.00 7.30
## 5266 0 20000 5 3 16.02 85000.00 31.98
## 5267 0 12000 3 2 12.12 68000.00 16.85
## 5268 0 20000 5 2 9.99 60000.00 14.44
## 5269 0 21000 3 4 15.61 150000.00 10.48
## 5270 0 20000 5 3 13.49 79250.00 14.90
## 5271 0 21500 3 3 13.44 56000.00 30.93
## 5272 0 12000 3 1 7.89 230000.00 11.72
## 5273 1 20000 3 2 11.49 47000.00 27.55
## 5274 1 10450 5 5 22.15 55600.00 25.69
## 5275 0 21000 3 2 11.99 105000.00 18.32
## 5276 1 9000 3 2 9.99 110000.00 21.27
## 5277 0 6000 3 3 15.05 45000.00 15.63
## 5278 0 15275 5 5 22.74 46000.00 26.72
## 5279 0 4275 3 3 16.24 23000.00 16.28
## 5280 0 4000 3 3 14.64 57000.00 27.26
## 5281 0 3650 3 4 16.55 20062.80 29.50
## 5282 0 30000 3 4 17.56 72000.00 28.33
## 5283 0 5500 3 2 9.49 41000.00 18.18
## 5284 0 6050 3 2 9.93 102000.00 17.80
## 5285 0 20000 3 1 6.91 90000.00 15.40
## 5286 0 10000 3 1 5.32 90000.00 27.59
## 5287 1 6000 3 2 9.80 30000.00 9.16
## 5288 0 30000 3 2 8.24 130000.00 25.14
## 5289 0 10000 3 3 16.20 48000.00 2.86
## 5290 0 6875 3 2 9.99 50125.00 26.16
## 5291 0 28000 3 4 21.45 61000.00 31.14
## 5292 0 10000 3 1 7.89 300000.00 11.63
## 5293 0 10000 3 2 11.47 45000.00 18.40
## 5294 0 10050 3 2 13.11 30000.00 10.96
## 5295 0 14000 3 1 7.59 132000.00 18.24
## 5296 1 21000 5 3 13.67 165000.00 14.89
## 5297 0 5500 3 3 15.80 55000.00 21.60
## 5298 1 21000 5 2 11.49 250000.00 5.81
## 5299 0 5000 3 3 12.39 23000.00 26.15
## 5300 1 17250 3 3 14.65 85000.00 16.70
## 5301 0 12575 5 3 13.35 77168.00 17.93
## 5302 0 9300 3 1 7.24 79000.00 14.36
## 5303 1 12000 3 3 12.69 41000.00 13.03
## 5304 0 8000 3 1 6.24 53000.00 22.15
## 5305 0 17175 3 2 11.99 63076.00 19.33
## 5306 0 16000 3 1 6.99 80000.00 9.92
## 5307 1 15000 3 3 12.69 75000.00 27.37
## 5308 0 4000 3 2 9.76 40000.00 14.16
## 5309 0 8025 3 4 16.59 52000.00 21.30
## 5310 0 6000 3 4 17.27 88000.00 37.28
## 5311 0 5000 3 3 13.67 66000.00 32.89
## 5312 0 21000 5 6 22.95 68500.00 27.84
## 5313 1 35000 3 4 18.25 86000.00 25.09
## 5314 0 14400 3 3 12.99 98000.00 6.57
## 5315 0 12000 3 3 14.65 112000.00 13.48
## 5316 0 7200 3 2 12.49 31000.00 21.87
## 5317 0 11000 3 1 5.32 40053.00 10.94
## 5318 1 14575 3 4 17.27 85000.00 23.18
## 5319 0 12000 5 2 10.07 120000.00 2.55
## 5320 0 8000 3 2 9.16 100000.00 4.91
## 5321 0 15000 5 2 9.43 58000.00 8.21
## 5322 0 10975 3 2 11.98 109000.00 20.42
## 5323 1 14675 3 2 12.12 37000.00 26.34
## 5324 0 10000 3 4 16.99 50000.00 6.87
## 5325 0 12000 5 4 16.99 94000.00 7.99
## 5326 0 9600 3 2 9.49 75000.00 19.18
## 5327 0 1700 3 3 12.39 40000.00 14.79
## 5328 0 17000 5 5 20.20 42000.00 30.49
## 5329 0 10000 3 2 10.64 89000.00 26.16
## 5330 0 3000 3 5 24.85 45000.00 34.43
## 5331 0 22000 3 2 10.08 80000.00 9.69
## 5332 0 5500 3 1 7.51 60000.00 9.10
## 5333 0 21000 3 1 5.32 160000.00 13.34
## 5334 0 15000 5 2 10.99 44000.00 5.59
## 5335 0 10000 3 2 8.18 54000.00 25.02
## 5336 0 30000 3 1 7.26 85000.00 18.34
## 5337 0 8500 5 3 13.06 58000.00 16.76
## 5338 1 35000 3 2 11.22 85000.00 17.03
## 5339 0 10000 3 2 13.11 90000.00 7.36
## 5340 0 20000 3 3 15.04 55000.00 7.72
## 5341 0 35000 3 2 8.18 263000.00 23.57
## 5342 0 11000 3 3 11.99 28000.00 19.03
## 5343 0 9800 3 2 10.99 140000.00 7.64
## 5344 0 35000 3 5 22.45 120000.00 24.74
## 5345 0 5000 3 1 5.42 65000.00 4.56
## 5346 0 12800 3 1 7.12 65000.00 25.50
## 5347 0 5000 3 2 11.39 65000.00 30.91
## 5348 0 18000 5 3 13.99 51100.00 11.88
## 5349 0 2000 3 3 15.02 100000.00 22.39
## 5350 0 8050 3 3 13.65 29350.00 22.21
## 5351 1 25000 5 5 18.25 100000.00 23.46
## 5352 0 9350 3 1 6.24 91400.00 8.29
## 5353 0 16800 5 6 22.95 65000.00 11.91
## 5354 0 19000 5 2 11.49 63000.00 25.49
## 5355 0 7200 3 1 7.89 57000.00 34.42
## 5356 0 10000 3 2 10.15 65000.00 4.01
## 5357 1 31025 5 7 28.88 90000.00 31.64
## 5358 0 5000 3 4 18.24 23000.00 17.75
## 5359 0 8500 3 1 7.96 50000.00 36.37
## 5360 0 10000 3 3 14.08 22000.00 27.43
## 5361 0 21000 5 2 11.67 89062.00 10.86
## 5362 0 10000 3 1 7.89 85000.00 18.33
## 5363 0 15000 3 2 13.67 72000.00 6.45
## 5364 0 12000 3 3 14.31 60000.00 14.43
## 5365 0 29450 5 3 13.35 67113.48 6.53
## 5366 0 21000 3 2 9.17 135000.00 12.62
## 5367 0 5000 3 3 12.79 100000.00 23.46
## 5368 0 15000 3 1 7.07 61000.00 23.73
## 5369 0 3200 3 3 12.62 80000.00 10.32
## 5370 0 17500 5 3 16.78 67745.00 8.10
## 5371 0 8000 3 4 16.99 120000.00 4.12
## 5372 0 8400 3 2 9.17 40000.00 5.70
## 5373 0 24500 5 3 14.65 102500.00 14.25
## 5374 0 35000 5 6 28.69 140000.00 15.58
## 5375 0 10000 3 1 7.99 60000.00 33.98
## 5376 0 34000 5 3 14.16 76000.00 15.14
## 5377 1 8000 3 2 10.15 56500.00 5.95
## 5378 0 3000 3 3 12.62 15000.00 4.96
## 5379 1 30000 5 4 16.99 133000.00 27.40
## 5380 0 8000 3 2 13.11 67398.00 20.59
## 5381 1 4000 3 3 15.31 32848.00 11.47
## 5382 1 10000 3 2 10.49 100000.00 4.42
## 5383 0 26400 3 1 6.49 95000.00 16.12
## 5384 0 2000 3 2 10.74 51000.00 19.20
## 5385 1 7500 3 3 14.64 81590.00 16.91
## 5386 0 10000 3 2 11.49 90000.00 22.05
## 5387 1 6500 3 1 7.39 60000.00 13.88
## 5388 0 12975 3 3 14.31 56000.00 31.38
## 5389 0 12300 3 6 30.49 34200.00 21.09
## 5390 0 9000 3 2 10.99 46641.19 21.90
## 5391 0 4800 3 1 7.97 168734.00 11.23
## 5392 0 11000 3 2 9.80 28000.00 15.43
## 5393 0 16800 3 4 18.99 66672.00 12.99
## 5394 0 6000 3 5 20.20 60000.00 21.30
## 5395 1 7000 3 1 7.89 120000.00 10.44
## 5396 0 7000 3 2 8.18 75000.00 25.30
## 5397 0 5000 3 2 11.44 24000.00 15.10
## 5398 0 5000 3 1 5.32 85000.00 8.95
## 5399 0 8000 3 1 8.90 32000.00 19.88
## 5400 0 10000 3 3 12.59 45000.00 5.41
## 5401 1 20000 3 4 18.99 85000.00 31.61
## 5402 0 10000 3 2 9.93 64500.00 21.08
## 5403 0 9000 3 3 12.29 55000.00 22.03
## 5404 0 21400 5 5 19.42 80000.00 19.66
## 5405 0 18400 3 4 19.99 40000.00 31.92
## 5406 0 8000 3 3 17.27 70000.00 15.46
## 5407 0 7500 3 1 5.32 56000.00 17.81
## 5408 1 11200 5 4 17.99 40000.00 12.45
## 5409 0 21600 5 4 20.20 80000.00 15.42
## 5410 0 10000 3 1 8.90 60000.00 5.54
## 5411 0 8000 3 2 13.05 54000.00 10.29
## 5412 0 11725 3 1 5.32 88000.00 16.13
## 5413 0 18275 3 3 13.99 50000.00 25.06
## 5414 0 18900 3 2 10.59 85800.00 18.43
## 5415 0 5000 3 2 9.16 95000.00 22.30
## 5416 0 5000 3 1 8.90 144000.00 14.31
## 5417 1 7000 3 1 7.26 140000.00 8.53
## 5418 0 10000 3 2 11.99 170000.00 14.63
## 5419 1 6000 3 2 11.44 32000.00 21.76
## 5420 0 7500 3 2 8.39 46000.00 25.23
## 5421 0 35000 5 7 28.88 108000.00 22.98
## 5422 0 18000 5 5 26.77 70000.00 34.46
## 5423 0 6000 3 1 5.32 33120.00 14.93
## 5424 0 5400 3 1 7.90 80000.00 12.62
## 5425 0 25000 3 2 9.75 73000.00 21.17
## 5426 0 14000 5 5 26.30 92641.00 9.21
## 5427 0 20500 3 2 10.64 46664.00 26.15
## 5428 0 20000 5 3 16.14 53305.00 15.65
## 5429 1 15000 3 3 15.61 64000.00 20.08
## 5430 0 30000 3 3 13.65 86000.00 21.46
## 5431 0 14000 3 2 9.49 44200.00 12.30
## 5432 0 12000 5 3 15.31 90000.00 25.88
## 5433 1 8000 3 4 19.99 99900.00 7.44
## 5434 0 8000 3 2 9.44 33000.00 11.93
## 5435 0 20000 3 2 8.18 55000.00 22.63
## 5436 1 21000 3 6 22.99 70000.00 9.00
## 5437 1 11000 5 4 21.85 40000.00 33.38
## 5438 0 8000 3 1 7.07 70000.00 8.83
## 5439 0 14400 3 3 15.31 53000.00 29.59
## 5440 0 9200 3 3 13.99 76800.00 16.39
## 5441 1 12500 5 5 20.99 25000.00 19.25
## 5442 0 20000 3 2 8.18 450000.00 1.93
## 5443 0 25000 5 3 13.35 125000.00 15.69
## 5444 0 10000 3 4 19.05 37000.00 28.51
## 5445 0 12000 3 1 6.24 62000.00 30.65
## 5446 0 35000 3 1 7.89 208000.00 20.36
## 5447 0 35000 3 3 13.33 103620.00 12.45
## 5448 0 6025 3 3 11.99 52000.00 4.62
## 5449 0 18000 3 1 7.89 160000.00 0.45
## 5450 0 18000 5 2 12.98 104000.00 13.36
## 5451 0 12000 3 2 10.99 78000.00 19.32
## 5452 0 10000 3 1 5.93 60000.00 14.76
## 5453 0 25000 3 1 8.19 121000.00 23.18
## 5454 1 7000 3 2 9.75 51600.00 22.77
## 5455 0 16300 3 2 8.99 42000.00 20.75
## 5456 0 5000 3 3 12.69 55328.00 13.28
## 5457 0 10000 3 4 18.99 40000.00 12.29
## 5458 0 11850 3 4 18.99 48000.00 4.70
## 5459 0 8150 3 3 14.85 87300.00 9.11
## 5460 0 10000 3 1 7.99 62000.00 12.41
## 5461 0 15000 3 1 7.49 85000.00 6.59
## 5462 0 30000 5 3 15.10 115000.00 13.20
## 5463 0 12000 5 2 9.17 95000.00 20.10
## 5464 0 20000 3 2 10.49 310000.00 9.08
## 5465 0 12000 5 2 10.74 42000.00 17.63
## 5466 0 15500 3 2 10.99 43750.00 22.85
## 5467 1 20000 3 3 13.99 95000.00 13.50
## 5468 1 12200 3 2 12.12 38000.00 30.09
## 5469 0 7500 3 2 9.67 50000.00 16.18
## 5470 0 15000 3 2 10.91 55000.00 34.54
## 5471 0 21000 3 2 11.55 122500.00 7.45
## 5472 0 1200 3 2 10.99 32000.00 31.62
## 5473 0 1200 3 3 15.99 118000.00 25.99
## 5474 0 25500 5 3 14.64 90000.00 23.08
## 5475 0 5500 3 3 14.64 38000.00 11.72
## 5476 0 15000 5 3 11.99 250000.00 2.99
## 5477 1 8000 3 3 13.49 40000.00 22.95
## 5478 1 35000 3 2 8.24 105000.00 22.81
## 5479 0 8000 3 1 6.89 60000.00 13.64
## 5480 1 16000 5 3 13.99 57250.00 39.66
## 5481 0 14000 3 2 12.12 230000.00 23.44
## 5482 0 4800 3 3 14.65 70000.00 16.32
## 5483 0 4800 3 1 7.90 45000.00 22.15
## 5484 0 8000 3 4 17.99 70000.00 16.88
## 5485 0 10000 3 2 8.18 35000.00 31.45
## 5486 1 30000 5 6 25.65 95000.00 31.44
## 5487 0 10000 3 2 11.99 50000.00 8.55
## 5488 0 25000 5 4 19.53 55000.00 34.55
## 5489 0 15000 5 4 16.55 275000.00 7.76
## 5490 0 2400 3 3 12.69 68000.00 23.38
## 5491 0 12000 3 2 8.99 60000.00 20.58
## 5492 0 23500 3 2 10.25 46000.00 19.67
## 5493 0 7000 3 3 13.99 67000.00 26.51
## 5494 0 4200 3 3 13.99 65000.00 9.36
## 5495 0 18000 3 3 12.69 79000.00 19.31
## 5496 0 22000 3 2 9.49 98000.00 12.69
## 5497 0 26000 3 3 14.65 91000.00 13.80
## 5498 0 10200 5 6 24.08 90000.00 7.11
## 5499 0 5100 3 1 7.90 36000.00 16.47
## 5500 1 35000 3 4 17.86 176000.00 7.86
## 5501 0 6000 3 2 9.49 50000.00 12.41
## 5502 1 13200 5 3 14.08 65000.00 6.91
## 5503 0 17000 3 2 9.99 47000.00 23.46
## 5504 0 10500 3 2 9.75 45000.00 9.12
## 5505 0 24000 5 2 10.75 68000.00 13.40
## 5506 0 11200 3 3 11.99 50175.00 23.13
## 5507 0 1800 3 4 20.89 82500.00 25.93
## 5508 0 20950 5 3 15.22 50000.00 29.69
## 5509 1 20000 3 1 5.32 80000.00 11.49
## 5510 0 9675 3 3 14.65 22000.00 27.22
## 5511 0 8000 3 4 15.61 32000.00 16.73
## 5512 0 6700 5 2 10.37 41000.00 18.15
## 5513 1 8500 3 1 7.49 95000.00 21.54
## 5514 0 24000 5 2 11.44 105000.00 5.83
## 5515 0 4200 3 2 11.99 55000.00 23.37
## 5516 0 1600 3 2 8.24 75000.00 9.77
## 5517 0 9000 3 2 10.42 70000.00 18.21
## 5518 0 4800 3 3 14.22 120000.00 14.47
## 5519 0 5000 3 2 8.24 52500.00 9.85
## 5520 0 18000 3 2 10.91 90000.00 16.88
## 5521 0 15000 3 3 14.99 35000.00 33.20
## 5522 0 12000 3 2 10.15 94000.00 12.35
## 5523 1 10000 3 4 18.06 38000.00 4.61
## 5524 1 12000 5 6 21.99 54000.00 16.44
## 5525 0 4500 3 3 16.20 62400.00 7.19
## 5526 0 24000 5 3 15.99 92000.00 20.28
## 5527 0 4000 3 4 16.99 26000.00 22.16
## 5528 1 16675 5 5 20.99 107325.00 15.73
## 5529 0 8000 3 4 17.57 25000.00 17.38
## 5530 0 10000 5 7 30.79 24000.00 35.10
## 5531 0 12000 3 3 13.49 89000.00 11.12
## 5532 0 33825 5 3 13.99 134000.00 23.16
## 5533 0 21275 5 2 11.71 81996.00 9.85
## 5534 0 10000 3 3 12.29 70800.00 16.59
## 5535 0 11000 3 3 13.66 62000.00 20.36
## 5536 0 30000 5 5 20.99 83743.00 13.44
## 5537 0 13800 5 1 7.89 60000.00 17.84
## 5538 0 25000 5 2 9.49 90000.00 16.68
## 5539 0 12850 3 5 19.24 50000.00 36.05
## 5540 0 10000 3 3 14.65 98000.00 25.73
## 5541 0 35000 5 4 16.99 87000.00 28.50
## 5542 0 8000 3 2 9.99 90000.00 18.96
## 5543 0 8000 3 2 9.17 36000.00 18.93
## 5544 0 7000 3 2 9.44 128500.00 21.04
## 5545 0 14400 3 3 12.99 64000.00 14.83
## 5546 0 21850 3 1 8.90 87000.00 6.07
## 5547 0 20000 3 1 6.89 60000.00 26.40
## 5548 0 10750 3 3 15.80 34000.00 19.80
## 5549 0 24000 5 4 17.86 220000.00 5.58
## 5550 0 15775 3 1 5.32 82000.00 9.75
## 5551 1 9150 3 4 18.06 45000.00 10.83
## 5552 0 15000 3 2 11.99 55000.00 30.92
## 5553 0 3725 3 3 16.02 50000.00 31.95
## 5554 0 15000 3 2 9.17 65000.00 4.23
## 5555 0 6000 3 2 12.35 105000.00 6.45
## 5556 0 6000 3 1 5.32 45000.00 18.03
## 5557 1 20000 5 4 18.99 60000.00 14.86
## 5558 1 9725 3 3 13.49 27800.00 29.58
## 5559 0 28000 3 2 11.22 65000.00 13.29
## 5560 0 21000 3 1 7.69 135000.00 12.24
## 5561 0 24000 3 1 7.62 215000.00 6.55
## 5562 0 15000 3 2 10.15 60000.00 18.49
## 5563 0 15000 3 1 6.99 60000.00 20.16
## 5564 0 20000 5 3 13.35 67000.00 31.30
## 5565 1 13150 5 2 10.15 48000.00 33.98
## 5566 0 5600 3 4 17.56 96000.00 19.08
## 5567 0 14400 3 2 12.69 40000.00 20.16
## 5568 0 35000 3 2 11.99 190000.00 6.00
## 5569 1 23350 5 7 25.99 65000.00 13.74
## 5570 0 9125 3 5 23.99 75000.00 14.38
## 5571 0 6000 3 3 14.79 60000.00 7.68
## 5572 0 2000 3 1 8.19 61000.00 18.78
## 5573 1 4950 3 4 17.99 15500.00 8.68
## 5574 1 4000 3 3 12.99 18900.00 9.67
## 5575 0 12000 3 1 5.93 90000.00 22.44
## 5576 1 24000 3 2 12.69 120000.00 13.90
## 5577 0 15000 3 1 6.24 55000.00 19.97
## 5578 1 35000 3 4 19.03 60000.00 38.44
## 5579 0 35000 5 6 26.57 230000.00 9.07
## 5580 0 28000 3 2 10.64 130000.00 13.25
## 5581 0 4000 3 1 6.24 65000.00 29.85
## 5582 1 12000 3 1 7.89 250000.00 24.21
## 5583 0 11500 3 2 11.53 65000.00 26.44
## 5584 0 14000 3 3 15.31 87000.00 21.17
## 5585 0 14200 3 3 12.69 60000.00 25.60
## 5586 1 20000 5 4 19.22 120000.00 11.64
## 5587 0 4000 3 3 13.49 60000.00 18.49
## 5588 0 20000 3 1 6.24 115000.00 14.28
## 5589 0 4500 3 2 14.09 42560.00 3.52
## 5590 0 17500 3 3 13.35 125000.00 16.47
## 5591 1 19475 5 5 22.15 54156.84 32.97
## 5592 0 35000 5 4 17.27 83000.00 23.84
## 5593 0 12000 3 2 9.16 68000.00 13.17
## 5594 0 26000 5 7 25.89 146000.00 7.32
## 5595 1 6500 3 4 17.57 35000.00 18.28
## 5596 0 21000 3 2 9.16 55000.00 24.75
## 5597 0 3600 3 3 12.29 50000.00 17.14
## 5598 0 12000 5 1 7.39 66000.00 2.34
## 5599 0 16000 5 3 13.99 92000.00 18.05
## 5600 0 6825 3 3 12.59 22750.80 39.58
## 5601 0 32000 3 1 7.89 65000.00 14.32
## 5602 0 11000 3 1 7.89 56400.00 20.66
## 5603 0 15000 5 2 10.99 44280.00 14.36
## 5604 1 3875 3 4 17.27 10800.00 25.89
## 5605 0 18700 3 1 8.39 60000.00 27.32
## 5606 0 3000 3 2 10.99 23000.00 31.21
## 5607 1 10000 3 4 16.32 53292.00 24.45
## 5608 0 4000 3 2 9.44 35000.00 27.72
## 5609 0 9400 3 2 8.99 24000.00 27.60
## 5610 1 4875 3 4 18.24 61000.00 16.27
## 5611 0 21000 3 3 12.29 55000.00 27.14
## 5612 0 8850 3 2 9.99 90000.00 18.91
## 5613 0 10000 3 2 12.99 50000.00 13.97
## 5614 1 22500 3 5 22.91 120000.00 24.44
## 5615 0 13000 3 1 7.99 100000.00 5.90
## 5616 0 6000 3 2 9.16 93000.00 14.25
## 5617 0 10625 3 3 16.29 33600.00 20.75
## 5618 0 26350 5 3 13.67 58000.00 27.29
## 5619 1 16500 3 4 16.99 56000.00 23.57
## 5620 0 6000 3 3 12.69 45000.00 17.15
## 5621 0 28000 5 5 18.25 105000.00 19.26
## 5622 0 28800 3 2 9.99 139250.00 25.45
## 5623 0 10000 3 4 15.61 51000.00 18.81
## 5624 0 10000 3 1 7.39 61500.00 14.20
## 5625 1 35000 5 5 19.99 100000.00 25.30
## 5626 0 20000 5 6 23.76 60000.00 15.02
## 5627 0 4200 3 2 10.72 60100.00 24.24
## 5628 0 12000 5 3 11.99 75000.00 4.66
## 5629 0 12000 5 3 13.33 75000.00 7.57
## 5630 0 15325 3 3 13.33 65000.00 39.59
## 5631 0 12250 3 4 14.59 30000.00 17.88
## 5632 0 10000 5 3 15.99 39000.00 13.17
## 5633 0 20000 3 1 7.99 85000.00 7.38
## 5634 1 7500 3 3 12.69 105000.00 11.07
## 5635 0 11000 3 1 7.89 126000.00 23.52
## 5636 0 4200 3 1 6.89 67762.24 1.54
## 5637 0 20300 3 2 9.17 57800.00 24.07
## 5638 0 10200 5 6 29.69 50000.00 6.53
## 5639 0 24000 5 3 15.99 60648.00 23.33
## 5640 0 20400 5 1 7.89 71500.00 19.37
## 5641 0 19600 3 2 11.39 60000.00 31.35
## 5642 0 17575 5 5 20.99 39088.00 29.05
## 5643 0 10000 3 3 12.79 76600.00 12.00
## 5644 0 15250 3 1 7.90 77000.00 20.63
## 5645 0 10000 3 3 13.65 45000.00 15.01
## 5646 0 15000 3 2 11.53 85500.00 15.72
## 5647 1 14000 3 3 14.65 30824.00 32.09
## 5648 0 10000 3 2 9.99 120000.00 21.29
## 5649 0 14000 3 2 10.49 54000.00 19.44
## 5650 0 6225 3 5 18.99 52000.00 9.00
## 5651 0 11200 3 3 12.99 24960.00 26.54
## 5652 1 14400 5 4 15.99 44000.00 39.99
## 5653 0 10625 3 4 18.49 32000.00 26.06
## 5654 1 10800 5 4 16.99 40300.00 31.75
## 5655 0 26000 3 4 16.29 71200.00 14.95
## 5656 0 10000 3 2 13.67 39000.00 33.39
## 5657 0 12000 3 2 10.99 64800.00 29.20
## 5658 0 20000 5 3 16.46 95000.00 9.56
## 5659 0 10000 3 1 8.90 45000.00 27.00
## 5660 0 10000 3 1 7.35 80000.00 25.76
## 5661 0 10000 5 1 6.11 69810.00 3.76
## 5662 0 24000 3 3 11.99 115032.00 28.61
## 5663 0 15000 3 3 12.69 52000.00 12.42
## 5664 0 10000 3 2 9.67 48000.00 10.40
## 5665 0 10000 3 1 6.62 55700.00 22.95
## 5666 0 10000 3 1 8.19 40000.00 29.85
## 5667 0 35000 3 2 8.18 148400.00 18.48
## 5668 0 20000 5 5 19.52 52000.00 23.06
## 5669 0 3200 3 3 15.61 135000.00 15.00
## 5670 0 14000 3 2 12.69 60000.00 13.98
## 5671 0 12000 5 4 16.29 48000.00 27.58
## 5672 0 8000 3 2 8.18 53000.00 11.71
## 5673 0 8000 3 3 13.33 25190.00 26.92
## 5674 0 20000 5 3 13.35 77000.00 13.28
## 5675 0 8000 3 3 12.69 50000.00 7.51
## 5676 0 25000 3 1 5.32 81000.00 39.91
## 5677 0 20000 3 1 7.35 150000.00 16.48
## 5678 0 30000 3 4 18.25 72325.09 26.55
## 5679 0 13000 3 3 11.99 168000.00 15.26
## 5680 0 24000 3 1 7.49 80256.00 13.01
## 5681 0 35000 5 4 18.55 178000.00 9.08
## 5682 0 24000 3 1 7.49 122000.00 26.65
## 5683 0 15000 5 3 11.99 62000.00 10.14
## 5684 1 20000 5 3 12.69 50000.00 12.15
## 5685 0 20000 3 4 17.27 45000.00 41.09
## 5686 0 8000 3 1 6.49 75000.00 11.68
## 5687 0 16000 3 2 10.99 70000.00 12.07
## 5688 0 6050 3 4 17.09 20200.00 34.11
## 5689 0 15000 5 4 16.29 52000.00 10.43
## 5690 0 8000 3 2 11.14 145000.00 17.32
## 5691 1 12000 5 4 15.61 45000.00 33.60
## 5692 0 7200 3 1 5.32 82000.00 18.24
## 5693 0 5200 3 2 9.16 89835.00 19.09
## 5694 0 18000 3 2 11.14 105000.00 22.30
## 5695 0 40000 5 1 7.89 210000.00 10.82
## 5696 1 28000 3 3 11.99 79200.00 24.03
## 5697 0 4000 3 2 9.17 70464.00 27.30
## 5698 0 13725 3 4 15.61 31200.00 12.00
## 5699 0 3300 3 2 8.18 48000.00 19.65
## 5700 0 10000 3 1 8.59 76000.00 13.53
## 5701 0 18000 3 2 11.67 68000.00 17.42
## 5702 0 25000 5 3 13.35 92000.00 21.08
## 5703 1 6000 3 4 16.99 25080.00 16.08
## 5704 0 9600 3 2 11.39 79000.00 13.79
## 5705 0 5500 3 1 7.26 100000.00 11.11
## 5706 0 19000 3 3 14.46 60000.00 14.02
## 5707 0 16000 3 2 10.99 85000.00 8.17
## 5708 0 20000 3 4 17.09 64000.00 28.93
## 5709 0 4000 3 2 11.71 37620.00 22.07
## 5710 1 20000 3 1 7.96 90000.00 12.41
## 5711 0 35000 3 4 18.99 90000.00 27.33
## 5712 0 25000 5 6 23.13 85000.00 12.18
## 5713 1 10000 3 4 15.59 69000.00 26.78
## 5714 0 35000 5 3 12.74 125000.00 29.70
## 5715 0 12000 5 7 30.79 79653.00 13.16
## 5716 1 12000 5 3 14.99 56000.00 23.06
## 5717 0 12500 3 1 5.32 48000.00 19.35
## 5718 0 14000 5 2 9.99 32500.00 24.52
## 5719 1 30000 3 3 14.49 90000.00 18.54
## 5720 0 10800 3 1 7.99 65000.00 22.58
## 5721 1 20000 5 6 30.75 71000.00 7.20
## 5722 0 25000 5 3 14.07 50000.00 36.62
## 5723 1 18000 3 2 10.71 52610.00 15.60
## 5724 0 10000 5 4 16.99 36000.00 33.50
## 5725 0 16000 3 3 11.99 112000.00 20.29
## 5726 0 8000 3 3 13.59 78000.00 27.37
## 5727 0 17900 5 3 15.04 98600.00 10.32
## 5728 0 4000 3 2 12.53 55000.00 3.01
## 5729 0 3000 3 3 14.99 60000.00 9.74
## 5730 0 13600 5 4 17.58 81060.00 8.10
## 5731 0 4500 3 3 14.33 39264.00 6.60
## 5732 0 3500 3 2 10.78 31500.00 20.91
## 5733 0 11000 3 2 10.36 42000.00 17.54
## 5734 0 10000 3 3 12.99 50000.00 5.66
## 5735 0 5000 3 2 11.39 114000.00 15.02
## 5736 1 15000 3 2 9.99 94000.00 11.14
## 5737 0 7000 3 2 9.16 92000.00 10.29
## 5738 0 5000 3 5 24.84 63113.00 18.79
## 5739 0 26000 3 1 8.90 90000.00 16.03
## 5740 0 5000 3 1 6.49 62000.00 18.14
## 5741 0 20000 5 2 10.99 160000.00 30.24
## 5742 0 15000 3 1 6.49 115000.00 12.05
## 5743 1 10000 3 5 20.75 46000.00 25.88
## 5744 0 10000 3 1 5.32 91485.00 14.52
## 5745 0 15000 3 1 6.03 66300.00 12.51
## 5746 0 8000 3 2 8.18 75000.00 5.89
## 5747 0 7700 3 3 14.99 25440.00 12.97
## 5748 0 24250 3 6 19.41 300000.00 9.61
## 5749 1 8000 3 2 11.53 34000.00 24.85
## 5750 1 19200 3 1 6.49 75000.00 7.12
## 5751 0 14000 5 4 19.47 100000.00 20.17
## 5752 1 10000 3 3 12.99 63500.00 20.94
## 5753 0 14200 3 2 11.44 75000.00 22.48
## 5754 0 14000 5 3 14.64 48500.00 23.82
## 5755 0 35000 3 2 10.42 403000.00 9.16
## 5756 0 20000 3 2 11.99 117500.00 9.11
## 5757 0 16500 3 3 12.99 54000.00 25.95
## 5758 0 20000 3 4 21.85 57500.00 25.69
## 5759 0 13850 3 4 17.27 35000.00 15.36
## 5760 1 30000 3 5 18.55 70000.00 10.35
## 5761 1 16000 3 2 10.99 50000.00 17.91
## 5762 1 14000 5 3 14.03 0.00 17.61
## 5763 0 35000 3 3 13.67 90000.00 23.18
## 5764 0 5350 3 6 23.13 42500.00 37.36
## 5765 0 20000 3 1 5.32 110000.00 7.70
## 5766 0 10000 5 3 12.74 40000.00 11.10
## 5767 1 5625 3 4 17.57 41000.00 6.50
## 5768 0 3000 3 3 13.33 38000.00 24.01
## 5769 0 14000 3 3 13.99 94640.00 19.67
## 5770 0 15000 3 3 13.99 75000.00 4.19
## 5771 0 10000 3 1 7.62 35000.00 4.97
## 5772 0 20000 3 1 6.03 574000.00 3.92
## 5773 0 1000 3 3 14.65 35000.00 13.24
## 5774 0 15000 3 2 11.49 51000.00 15.76
## 5775 0 4000 3 1 9.32 52800.00 0.59
## 5776 0 15000 3 2 8.24 90000.00 13.82
## 5777 1 8750 3 4 17.57 21000.00 30.91
## 5778 0 17900 3 5 19.19 60000.00 10.76
## 5779 1 12000 5 4 15.61 32000.00 25.88
## 5780 0 10000 3 1 6.92 265000.00 2.78
## 5781 0 24000 3 1 7.89 100000.00 5.28
## 5782 0 6200 3 1 7.39 47500.00 23.17
## 5783 1 18000 5 4 18.25 53000.00 22.29
## 5784 1 12000 3 3 13.33 39000.00 24.25
## 5785 1 4800 3 3 13.99 62280.00 29.87
## 5786 0 7500 3 3 14.49 60000.00 19.76
## 5787 0 12900 5 4 17.86 38000.00 13.33
## 5788 1 10000 5 6 24.99 40016.00 35.18
## 5789 0 24000 3 1 8.19 102000.00 23.33
## 5790 0 5000 3 1 7.49 30000.00 23.28
## 5791 0 8000 3 4 19.22 50000.00 32.81
## 5792 0 5000 3 1 7.69 15000.00 16.72
## 5793 0 14000 3 4 18.25 59000.00 21.40
## 5794 0 20500 3 1 6.03 135000.00 12.39
## 5795 0 35000 5 3 15.31 250000.00 19.62
## 5796 0 9000 3 1 7.89 36000.00 17.20
## 5797 0 20400 5 5 21.49 77856.00 9.76
## 5798 0 4000 3 3 12.29 15000.00 34.32
## 5799 0 5500 3 2 9.67 40000.00 26.91
## 5800 0 12000 3 1 5.32 90000.00 12.77
## 5801 0 7000 3 2 9.75 52000.00 16.62
## 5802 0 2500 3 3 15.59 36493.00 0.82
## 5803 0 14750 5 6 24.11 41000.00 27.72
## 5804 1 8000 3 3 13.59 28500.00 8.51
## 5805 0 8000 3 2 12.49 40000.00 15.66
## 5806 0 21200 5 3 15.31 95000.00 7.71
## 5807 1 32000 3 6 25.65 108000.00 37.55
## 5808 0 10000 3 2 10.99 32000.00 12.45
## 5809 0 7150 3 4 16.55 20000.00 20.89
## 5810 0 27000 3 1 5.32 200000.00 16.77
## 5811 0 5000 3 1 7.62 44000.00 31.85
## 5812 0 10000 3 3 15.81 37000.00 20.89
## 5813 0 13500 3 2 11.53 65000.00 30.44
## 5814 0 4000 3 1 8.59 40000.00 15.45
## 5815 0 3500 3 1 7.97 50000.00 8.88
## 5816 0 7000 3 1 6.03 63000.00 24.87
## 5817 0 11000 3 1 5.93 240000.00 0.88
## 5818 0 9000 3 3 13.49 40004.00 25.74
## 5819 0 35000 5 5 18.55 99000.00 24.59
## 5820 0 11300 3 3 13.61 60000.00 15.94
## 5821 0 6000 3 1 6.24 34657.20 5.30
## 5822 0 11600 3 4 18.06 33000.00 14.73
## 5823 1 10500 5 5 20.99 25000.00 23.76
## 5824 1 13000 3 4 16.99 37000.00 16.15
## 5825 1 14400 5 4 15.59 42000.00 26.89
## 5826 1 20000 3 5 21.49 50400.00 11.71
## 5827 0 3000 3 1 7.89 48000.00 5.40
## 5828 0 30000 3 3 14.31 145000.00 14.83
## 5829 0 14000 3 2 12.12 180000.00 11.11
## 5830 1 15000 3 1 7.89 42000.00 12.31
## 5831 0 10000 3 1 5.32 115600.00 4.42
## 5832 0 21000 5 4 16.99 46000.00 17.98
## 5833 0 16000 3 2 12.35 56000.00 10.69
## 5834 0 30000 5 4 19.72 125000.00 8.51
## 5835 0 8000 3 1 6.97 52000.00 18.88
## 5836 0 15000 3 1 7.35 50000.00 26.88
## 5837 1 1800 3 4 17.99 98000.00 19.45
## 5838 0 15000 3 2 11.49 70200.00 21.54
## 5839 0 5000 3 4 16.49 30000.00 5.60
## 5840 0 8000 3 3 14.65 75000.00 22.19
## 5841 0 10400 3 2 8.18 55000.00 31.46
## 5842 0 40000 3 1 7.99 200000.00 6.44
## 5843 0 8725 3 2 10.64 26000.00 16.66
## 5844 0 5000 3 2 9.17 300000.00 9.54
## 5845 0 15750 5 5 18.99 52000.00 29.82
## 5846 0 5000 3 3 12.69 35000.00 3.60
## 5847 0 7000 3 2 13.53 30935.00 15.87
## 5848 0 20200 5 4 17.57 46000.00 25.23
## 5849 0 12000 3 4 19.03 52000.00 20.42
## 5850 0 18000 3 3 14.30 75000.00 11.04
## 5851 0 22850 3 2 12.99 52000.00 20.33
## 5852 0 7000 3 3 14.08 55000.00 17.46
## 5853 0 9500 3 2 11.49 66000.00 9.85
## 5854 0 35000 3 3 13.99 100000.00 18.77
## 5855 0 20000 3 1 8.90 100000.00 20.15
## 5856 0 15000 3 1 6.03 73250.00 11.86
## 5857 1 10000 3 4 19.42 33300.00 17.91
## 5858 0 15000 5 3 14.46 70000.00 11.43
## 5859 0 35000 5 3 13.66 87000.00 22.40
## 5860 0 19750 3 3 13.49 105146.00 7.28
## 5861 0 20000 3 1 6.92 93000.00 9.75
## 5862 1 35000 3 3 13.99 137433.00 9.75
## 5863 0 8325 3 4 18.25 41000.00 16.21
## 5864 1 30300 3 4 16.99 112000.00 5.25
## 5865 0 10000 3 2 9.17 50000.00 12.89
## 5866 1 24000 3 3 12.29 117000.00 22.18
## 5867 0 11200 3 1 6.03 60610.00 10.55
## 5868 0 15000 3 2 10.99 45000.00 14.87
## 5869 1 16300 5 5 18.55 48000.00 9.53
## 5870 0 20500 3 1 6.83 105000.00 17.41
## 5871 0 11000 3 2 12.49 45000.00 5.33
## 5872 0 28800 5 5 20.30 75000.00 17.15
## 5873 0 9950 3 5 21.60 70000.00 13.13
## 5874 0 12000 3 2 10.15 80000.00 14.54
## 5875 0 10000 3 3 12.79 50000.00 28.16
## 5876 1 30000 5 5 18.84 75000.00 33.02
## 5877 0 9200 3 2 9.99 39000.00 29.97
## 5878 1 25000 5 3 16.02 90000.00 21.76
## 5879 0 9000 3 2 12.49 59000.00 23.23
## 5880 0 3300 3 4 15.59 43000.00 14.21
## 5881 0 1000 3 1 7.89 76000.00 18.34
## 5882 0 8000 3 3 13.99 36000.00 37.40
## 5883 1 11000 3 3 12.39 80000.00 26.49
## 5884 0 15000 3 2 9.17 65000.00 12.00
## 5885 0 24000 3 3 15.81 62000.00 26.26
## 5886 0 5500 3 3 13.65 36000.00 9.70
## 5887 0 10000 3 2 11.99 51933.84 6.26
## 5888 1 10000 3 2 9.76 40000.00 18.45
## 5889 0 20000 3 1 5.32 50000.00 20.07
## 5890 0 11200 5 3 13.99 32000.00 24.31
## 5891 0 3850 3 2 11.44 39000.00 25.38
## 5892 1 15000 5 4 21.45 40000.00 27.36
## 5893 0 7000 3 2 11.49 75000.00 3.38
## 5894 0 35000 5 6 23.99 180000.00 17.58
## 5895 0 25000 5 3 15.59 65000.00 24.52
## 5896 0 10450 3 5 18.55 84000.00 8.84
## 5897 1 6650 3 4 18.45 100000.00 11.17
## 5898 0 6400 3 1 6.68 43000.00 28.52
## 5899 0 20175 3 2 11.44 62000.00 26.93
## 5900 0 9000 3 1 8.90 37400.00 5.76
## 5901 0 19500 5 7 26.06 143000.00 10.25
## 5902 0 10000 3 1 7.49 80000.00 6.59
## 5903 0 4800 3 2 10.99 70000.00 12.41
## 5904 0 2400 3 1 7.49 150600.00 12.15
## 5905 0 14000 3 3 15.31 105000.00 10.34
## 5906 1 18075 5 7 30.99 243000.00 0.91
## 5907 0 22000 3 2 8.39 108000.00 11.98
## 5908 1 30000 5 4 19.97 80400.00 16.81
## 5909 0 21600 3 2 12.12 145000.00 13.91
## 5910 0 12000 3 1 6.24 60000.00 18.36
## 5911 0 8000 3 2 11.53 47000.00 24.41
## 5912 0 8000 3 2 11.47 126000.00 9.36
## 5913 0 28350 5 3 13.59 160000.00 19.40
## 5914 0 10000 3 4 16.29 46000.00 29.46
## 5915 0 16000 5 5 20.75 48000.00 23.30
## 5916 0 4975 3 4 17.57 16600.00 6.54
## 5917 0 30000 3 1 7.89 95000.00 4.34
## 5918 1 10000 3 4 17.09 120000.00 6.25
## 5919 1 6000 3 2 10.99 50000.00 14.31
## 5920 0 30000 3 2 11.67 135000.00 8.66
## 5921 0 16000 3 1 7.26 85000.00 24.23
## 5922 0 10000 3 2 9.99 48000.00 29.30
## 5923 0 12000 5 3 17.10 75000.00 19.84
## 5924 0 35000 5 5 20.99 115000.00 14.54
## 5925 0 13200 3 3 15.22 60000.00 17.36
## 5926 1 20000 5 3 14.48 150000.00 18.17
## 5927 0 4925 3 5 19.99 68000.00 9.28
## 5928 1 20000 5 4 17.58 94000.00 8.37
## 5929 0 10650 5 6 24.99 111000.00 7.77
## 5930 1 32000 3 3 14.33 81970.00 31.88
## 5931 1 3500 3 4 16.29 32000.00 21.38
## 5932 0 9050 3 2 11.44 73000.00 18.92
## 5933 0 23325 3 2 9.17 85000.00 24.42
## 5934 0 9600 3 3 15.61 24000.00 22.86
## 5935 0 5000 3 3 12.99 50000.00 21.70
## 5936 0 6000 3 1 7.21 60000.00 3.96
## 5937 0 25000 5 2 9.99 113000.00 11.43
## 5938 0 4000 3 3 13.66 55000.00 25.42
## 5939 1 16000 3 3 13.33 89000.00 8.09
## 5940 0 35000 5 3 12.29 135000.00 15.58
## 5941 0 17550 5 6 24.50 48900.00 18.28
## 5942 0 4200 3 3 13.68 162000.00 14.79
## 5943 0 29450 3 3 15.31 70353.00 13.25
## 5944 0 10000 5 3 12.29 55000.00 24.24
## 5945 0 35000 5 3 15.99 150000.00 10.18
## 5946 0 28000 3 2 8.18 132600.00 11.76
## 5947 0 12000 3 2 13.11 42000.00 26.66
## 5948 0 10600 3 1 8.90 35000.00 20.61
## 5949 0 4000 3 3 15.05 27000.00 9.33
## 5950 0 3025 3 2 11.99 47400.00 19.70
## 5951 0 15000 3 1 5.93 80000.00 22.71
## 5952 0 24000 5 6 30.65 100000.00 9.82
## 5953 0 34775 5 4 17.57 142500.00 13.21
## 5954 0 9700 3 1 7.26 77000.00 10.63
## 5955 1 2500 3 4 18.25 33743.88 17.50
## 5956 0 10000 3 3 14.33 40000.00 19.50
## 5957 0 8075 3 3 12.99 73000.00 19.10
## 5958 0 8000 3 3 14.33 90000.00 13.33
## 5959 1 11400 5 6 30.17 75000.00 27.10
## 5960 1 35000 5 3 12.39 118500.00 27.91
## 5961 0 10000 3 3 13.98 72000.00 27.23
## 5962 1 5500 3 3 11.99 19200.00 32.94
## 5963 0 15000 5 2 10.59 50000.00 12.86
## 5964 0 18000 3 3 12.99 50000.00 13.49
## 5965 0 9600 3 1 6.71 22000.00 31.04
## 5966 0 25000 5 6 23.28 100000.00 26.57
## 5967 0 25000 3 1 5.32 114000.00 14.14
## 5968 0 15000 3 4 19.03 50400.00 27.05
## 5969 0 9500 3 3 11.99 53000.00 21.20
## 5970 1 10000 5 4 17.99 80000.00 15.71
## 5971 0 35000 5 5 22.45 128000.00 25.16
## 5972 0 21500 3 2 11.49 93475.07 29.36
## 5973 1 8000 3 3 15.27 108000.00 12.48
## 5974 0 6700 3 4 17.57 74400.00 6.90
## 5975 0 18000 3 3 15.61 72000.00 9.62
## 5976 0 5600 3 3 13.49 89000.00 19.89
## 5977 0 12000 3 3 13.98 76801.08 17.67
## 5978 0 4800 3 2 9.17 220000.00 12.41
## 5979 0 10500 5 4 17.57 37873.00 14.26
## 5980 0 12000 3 2 11.39 40000.00 24.72
## 5981 0 10000 3 5 23.88 68000.00 29.17
## 5982 0 12000 3 2 12.99 80000.00 6.77
## 5983 0 4400 3 4 15.61 25485.92 26.61
## 5984 0 15000 5 3 14.47 50000.00 15.53
## 5985 0 20000 3 2 12.49 120000.00 12.83
## 5986 1 35000 3 2 11.49 170000.00 18.57
## 5987 0 8000 3 2 9.75 36500.00 19.37
## 5988 0 16500 3 1 6.03 150000.00 0.89
## 5989 0 16000 3 1 7.26 400000.00 7.17
## 5990 0 14500 3 4 18.25 30000.00 18.32
## 5991 0 10000 3 2 11.44 110000.00 4.71
## 5992 0 10500 3 2 9.67 60000.00 19.54
## 5993 1 13200 5 3 13.35 36000.00 20.37
## 5994 0 12000 5 4 16.55 52000.00 32.93
## 5995 0 25000 5 3 15.02 47904.00 10.62
## 5996 1 21000 3 2 9.75 80000.00 30.89
## 5997 1 20000 3 2 9.76 70000.00 14.23
## 5998 0 28000 3 5 23.99 110000.00 29.86
## 5999 0 19775 3 4 17.14 66000.00 25.42
## 6000 1 17500 3 2 9.16 375000.00 15.18
## 6001 0 16000 5 5 21.00 85000.00 5.28
## 6002 0 10000 3 2 11.44 45000.00 27.71
## 6003 0 6400 3 2 11.98 23000.00 22.86
## 6004 1 9250 3 3 12.53 13000.00 0.92
## 6005 0 19000 3 3 15.61 95000.00 23.14
## 6006 0 12250 5 6 22.99 34039.00 26.76
## 6007 0 20000 3 1 7.69 74000.00 27.08
## 6008 0 1000 3 2 11.55 25000.00 15.71
## 6009 0 6000 3 2 10.78 45000.00 23.84
## 6010 0 12600 5 3 12.99 75000.00 20.18
## 6011 0 8000 3 3 12.99 80000.00 13.17
## 6012 0 12000 3 2 10.75 100000.00 9.70
## 6013 0 35000 3 4 15.99 300000.00 4.91
## 6014 0 8800 3 4 16.55 34500.00 8.31
## 6015 1 15000 5 4 16.29 80000.00 17.16
## 6016 0 24900 5 3 12.29 52000.00 28.87
## 6017 0 4000 3 1 6.49 80000.00 3.14
## 6018 1 9600 3 2 8.39 80000.00 18.71
## 6019 1 12000 5 3 12.99 41000.00 30.06
## 6020 0 5900 3 5 19.99 46000.00 7.77
## 6021 0 13000 3 2 10.90 110000.00 20.68
## 6022 0 6000 3 2 8.18 28000.00 23.79
## 6023 0 20000 5 2 11.99 98400.00 18.27
## 6024 0 33950 3 5 19.99 68000.00 10.94
## 6025 0 14000 3 3 15.99 36000.00 17.03
## 6026 0 9300 3 1 7.89 25000.00 12.34
## 6027 0 24775 3 3 13.33 59000.00 16.73
## 6028 0 6000 3 3 12.59 48000.00 33.73
## 6029 1 19200 5 3 15.31 44000.00 19.00
## 6030 0 18000 5 3 14.65 57000.00 10.80
## 6031 0 15000 3 2 11.14 102204.00 14.05
## 6032 0 7200 3 1 7.89 31000.00 19.40
## 6033 0 11000 3 2 9.99 85000.00 25.80
## 6034 0 15000 5 2 9.44 50000.00 1.70
## 6035 0 12000 3 2 11.53 47000.00 30.80
## 6036 0 8250 3 3 12.29 55000.00 15.54
## 6037 0 9000 3 3 15.31 72000.00 11.15
## 6038 0 10000 3 3 12.79 65000.00 14.07
## 6039 1 5000 3 3 12.29 45000.00 9.04
## 6040 1 24125 3 3 14.31 85511.00 21.53
## 6041 0 12000 5 2 11.11 101000.00 13.72
## 6042 1 16000 5 3 13.67 48000.00 23.95
## 6043 0 6000 3 3 14.16 62000.00 29.09
## 6044 0 23200 3 3 13.33 101000.00 19.37
## 6045 0 7800 3 1 6.49 64000.00 16.13
## 6046 1 10750 5 5 21.60 31000.00 24.62
## 6047 0 4200 3 2 11.49 54000.00 13.20
## 6048 0 30000 3 1 7.90 70000.00 25.34
## 6049 0 7750 3 4 16.99 35000.00 27.67
## 6050 1 10000 3 4 15.61 35000.00 35.05
## 6051 0 24000 3 2 12.49 98600.00 11.61
## 6052 0 8000 3 4 15.61 60000.00 30.20
## 6053 0 18000 5 2 10.49 50000.00 17.59
## 6054 1 13200 5 3 14.49 70000.00 12.81
## 6055 0 30000 3 4 17.09 201000.00 11.73
## 6056 0 21000 3 2 13.05 80000.00 24.49
## 6057 0 10000 3 1 5.32 106000.00 15.88
## 6058 0 9450 3 2 12.12 28000.00 16.76
## 6059 0 18000 5 3 13.58 58000.00 2.05
## 6060 1 6025 3 2 11.53 60000.00 17.40
## 6061 0 15000 3 1 7.97 50000.00 14.38
## 6062 0 8500 3 2 9.76 60000.00 10.28
## 6063 0 8000 3 1 7.51 50004.00 13.58
## 6064 0 10000 3 4 18.49 55000.00 22.78
## 6065 0 8625 3 3 13.99 24000.00 5.25
## 6066 0 20000 3 3 12.79 65400.00 7.72
## 6067 0 17600 5 2 13.11 50000.00 19.96
## 6068 1 3600 3 3 12.74 27000.00 13.91
## 6069 0 7575 3 3 14.49 50000.00 24.50
## 6070 0 12000 5 3 13.59 49672.00 23.12
## 6071 0 25000 5 5 18.25 100000.00 13.68
## 6072 1 5675 3 3 13.49 23000.00 19.42
## 6073 1 4175 3 6 22.99 60400.00 31.51
## 6074 1 9600 3 3 15.31 76000.00 15.46
## 6075 1 23200 3 3 15.99 71000.00 30.00
## 6076 0 15000 3 1 7.62 126000.00 6.77
## 6077 0 10000 3 1 6.17 170000.00 15.92
## 6078 0 14400 5 6 23.50 78000.00 12.40
## 6079 0 12000 3 3 13.49 64000.00 32.91
## 6080 0 11500 3 2 12.85 65000.00 34.08
## 6081 0 24000 5 2 11.67 74000.00 23.56
## 6082 0 16800 3 3 13.18 36000.00 37.27
## 6083 1 18000 5 4 17.76 63000.00 32.63
## 6084 1 20000 3 3 12.61 70000.00 22.37
## 6085 0 14025 3 3 13.99 39000.00 24.15
## 6086 0 10000 3 2 9.99 58000.00 33.31
## 6087 0 10000 3 2 9.17 110000.00 6.92
## 6088 0 9225 3 2 9.76 60000.00 16.94
## 6089 0 12000 5 3 12.88 59000.00 13.70
## 6090 1 21000 5 5 23.40 52000.00 23.15
## 6091 0 10000 3 1 7.89 80000.00 32.97
## 6092 0 5000 3 2 11.67 50000.00 13.80
## 6093 0 2500 5 6 24.89 44000.00 20.92
## 6094 0 10000 3 1 6.89 98000.00 10.60
## 6095 0 30000 5 4 15.61 100000.00 18.49
## 6096 0 4000 3 4 15.99 45000.00 18.60
## 6097 0 17350 3 2 11.99 55000.00 29.90
## 6098 0 24725 5 2 9.99 56636.00 29.70
## 6099 0 20000 3 2 9.99 140000.00 23.58
## 6100 0 40000 3 1 8.59 80000.00 15.95
## 6101 0 20125 5 3 14.33 130000.00 4.07
## 6102 0 2000 3 2 10.16 57000.00 33.18
## 6103 0 15000 5 5 20.20 150000.00 11.62
## 6104 0 20000 5 4 18.94 47000.00 22.93
## 6105 0 8400 3 3 12.05 35000.00 24.11
## 6106 0 20150 5 7 28.49 56000.00 16.74
## 6107 0 15000 3 2 11.47 65000.00 20.33
## 6108 0 35000 5 6 25.69 96000.00 22.36
## 6109 0 15000 3 3 11.99 58000.00 21.50
## 6110 0 4200 3 3 15.05 52000.00 11.95
## 6111 1 4000 3 2 9.49 136000.00 4.99
## 6112 0 7000 3 4 16.29 25000.00 20.26
## 6113 0 15000 3 2 9.75 51000.00 16.26
## 6114 0 7000 3 3 12.69 54000.00 18.58
## 6115 1 1000 3 2 11.49 60000.00 34.94
## 6116 0 9300 3 3 15.31 46000.00 17.79
## 6117 0 12000 3 2 11.99 39000.00 19.29
## 6118 0 12000 3 3 12.39 67000.00 20.26
## 6119 0 20000 3 3 17.27 75000.00 12.08
## 6120 0 7200 3 2 11.49 60000.00 32.42
## 6121 0 10000 3 3 16.14 52000.00 24.00
## 6122 0 30000 3 3 12.99 300000.00 27.61
## 6123 0 12000 5 2 8.99 55000.00 14.00
## 6124 1 6000 3 5 22.40 75000.00 12.83
## 6125 0 7000 3 2 9.67 62000.00 11.91
## 6126 0 8000 3 3 16.29 54000.00 16.42
## 6127 0 12000 3 2 11.49 83000.00 9.51
## 6128 0 31825 3 2 14.09 72000.00 12.57
## 6129 0 10000 5 5 18.25 49000.00 18.25
## 6130 0 20000 3 3 12.99 135000.00 2.53
## 6131 0 14000 3 2 10.99 198000.00 11.47
## 6132 1 6350 3 2 10.99 36000.00 21.29
## 6133 0 20125 5 2 13.11 45000.00 19.01
## 6134 0 13200 3 1 6.19 70000.00 34.65
## 6135 1 14000 3 3 14.30 100000.00 15.88
## 6136 0 9000 3 3 12.29 51000.00 13.13
## 6137 0 5000 3 2 9.99 47000.00 33.58
## 6138 0 20000 3 4 16.99 70000.00 10.26
## 6139 0 9500 3 3 13.99 48000.00 8.45
## 6140 0 7000 3 3 13.98 61000.00 21.82
## 6141 0 5000 3 3 14.65 80000.00 25.32
## 6142 0 30525 5 6 23.99 256000.00 9.96
## 6143 0 18000 5 3 16.02 75000.00 34.34
## 6144 0 14025 3 3 12.69 32000.00 12.90
## 6145 0 12800 3 3 14.31 65000.00 19.48
## 6146 0 7000 3 1 6.89 42000.00 15.98
## 6147 1 16000 5 5 19.99 89000.00 10.69
## 6148 0 10000 3 1 8.94 25800.00 0.00
## 6149 0 24000 3 3 6.00 75000.00 24.56
## 6150 0 16000 3 2 9.93 25000.00 28.95
## 6151 0 9175 3 3 12.99 120500.00 20.75
## 6152 0 8000 3 2 8.24 40000.00 7.53
## 6153 0 12000 3 1 8.90 120000.00 15.47
## 6154 0 10575 5 2 11.71 50000.00 22.81
## 6155 1 1800 3 4 16.99 28834.00 22.11
## 6156 0 20000 5 5 20.99 75000.00 12.37
## 6157 0 7500 3 1 8.19 19750.00 22.31
## 6158 0 4775 3 4 16.99 39108.00 19.91
## 6159 0 30000 3 2 9.17 162000.00 14.25
## 6160 1 16000 5 4 18.24 65000.00 18.11
## 6161 0 7000 3 1 7.62 50000.00 9.49
## 6162 0 6600 3 2 10.99 59592.00 11.44
## 6163 0 10650 3 5 21.99 54000.00 18.29
## 6164 0 25000 3 5 24.74 73000.00 21.80
## 6165 0 25000 3 1 7.34 67000.00 26.87
## 6166 0 3200 3 5 25.49 71500.00 22.05
## 6167 0 12000 5 3 14.08 54000.00 17.11
## 6168 1 12000 5 4 16.29 34000.00 18.32
## 6169 0 6400 3 2 12.99 72000.00 28.75
## 6170 0 21000 3 3 11.97 151000.00 7.99
## 6171 0 5950 3 3 13.65 260000.00 8.46
## 6172 1 13600 5 4 19.47 54000.00 22.42
## 6173 0 16950 3 3 11.99 48817.00 17.23
## 6174 1 16000 3 3 13.99 110000.00 14.95
## 6175 0 25000 3 1 7.99 120000.00 4.12
## 6176 0 4000 3 1 6.99 78000.00 9.24
## 6177 0 17000 5 2 11.49 64800.00 13.19
## 6178 0 6175 3 7 30.84 59000.00 19.55
## 6179 0 4200 3 3 14.48 60000.00 35.68
## 6180 0 25000 3 1 6.49 117000.00 17.40
## 6181 0 13600 3 3 14.30 125350.00 14.43
## 6182 1 5000 3 2 8.39 102000.00 18.78
## 6183 0 8725 3 2 12.35 25000.00 28.56
## 6184 0 9600 3 2 8.18 40000.00 22.98
## 6185 0 6000 3 2 9.16 17978.00 16.15
## 6186 1 8000 3 4 20.89 40000.00 18.75
## 6187 0 12000 5 3 13.99 94500.00 14.65
## 6188 0 10000 3 2 10.91 31600.00 10.25
## 6189 0 10000 3 1 8.90 56000.00 16.09
## 6190 0 18000 3 2 11.49 43000.00 26.29
## 6191 0 1600 3 2 10.42 24000.00 23.60
## 6192 0 18000 3 1 8.90 70000.00 27.46
## 6193 0 12000 3 2 9.67 77000.00 10.91
## 6194 0 5000 3 3 13.99 100000.00 27.05
## 6195 0 3475 3 4 18.99 56925.00 8.81
## 6196 0 35000 3 2 11.49 170000.00 19.41
## 6197 1 25000 3 3 14.65 80000.00 3.97
## 6198 0 15000 5 4 18.06 40000.00 24.93
## 6199 0 4800 3 2 11.98 65000.00 14.14
## 6200 0 4000 3 3 12.39 40000.00 22.44
## 6201 0 12000 3 1 7.35 92000.00 17.24
## 6202 0 35000 5 4 15.99 100000.00 17.07
## 6203 0 3200 3 5 23.40 30000.00 27.92
## 6204 0 12000 3 2 10.49 32000.00 17.88
## 6205 0 6000 3 1 7.49 91000.00 11.34
## 6206 0 17500 3 2 8.18 125000.00 6.32
## 6207 0 16000 3 2 11.14 81000.00 14.94
## 6208 0 6000 3 2 11.67 49500.00 7.22
## 6209 1 20000 5 3 12.69 140000.00 12.76
## 6210 0 13200 3 1 6.99 65000.00 23.32
## 6211 0 10000 3 2 9.75 34000.00 21.28
## 6212 0 8925 3 4 15.61 30000.00 14.76
## 6213 0 15000 3 1 7.99 71000.00 4.04
## 6214 1 20000 5 5 21.18 30000.00 61.12
## 6215 0 25000 3 1 7.49 110000.00 26.82
## 6216 0 4800 3 4 16.55 16000.00 27.46
## 6217 0 24000 5 6 28.72 160000.00 9.66
## 6218 0 10000 3 2 11.44 55000.00 23.50
## 6219 1 10000 3 4 15.59 49000.00 35.00
## 6220 1 20000 5 6 24.99 48000.00 27.88
## 6221 0 8400 3 2 9.17 118000.00 10.22
## 6222 1 4200 3 2 11.99 92000.00 30.30
## 6223 1 7000 3 3 13.98 45000.00 13.71
## 6224 0 10000 3 2 11.55 63079.00 18.57
## 6225 0 10000 3 1 6.49 85000.00 4.50
## 6226 0 1600 3 1 7.35 69000.00 15.29
## 6227 1 12000 5 3 13.49 75000.00 21.57
## 6228 1 25000 5 3 15.99 75000.00 11.22
## 6229 0 5600 3 2 9.99 48000.00 14.43
## 6230 0 10000 3 1 7.69 96450.00 14.31
## 6231 0 20000 3 2 12.21 51500.00 3.10
## 6232 0 23725 3 4 17.86 66000.00 23.55
## 6233 0 4200 3 3 12.69 46400.00 10.42
## 6234 0 13475 5 4 20.20 48000.00 12.08
## 6235 1 30000 5 3 15.59 100000.00 19.15
## 6236 1 5000 3 4 16.29 54000.00 33.35
## 6237 0 30000 5 5 20.99 298000.00 13.34
## 6238 0 20000 3 2 11.53 89000.00 26.31
## 6239 0 15000 3 5 15.95 105000.00 11.30
## 6240 1 28000 5 3 13.49 94000.00 23.29
## 6241 0 7000 3 2 9.16 65000.00 26.85
## 6242 0 28000 3 2 11.47 95000.00 21.13
## 6243 1 5000 3 5 23.88 36000.00 5.30
## 6244 0 20000 3 1 6.49 65000.00 12.70
## 6245 0 26000 3 1 6.39 175000.00 11.38
## 6246 0 16000 3 3 15.80 40000.00 20.49
## 6247 0 18000 3 3 13.65 65000.00 23.00
## 6248 0 15600 3 3 12.79 140000.00 6.75
## 6249 0 4000 3 3 13.33 75000.00 20.86
## 6250 1 6000 3 2 10.64 49000.00 17.63
## 6251 0 30000 5 5 20.30 72996.00 21.67
## 6252 0 2500 3 5 24.37 55000.00 23.96
## 6253 0 17350 3 6 23.43 68000.00 30.92
## 6254 1 8000 3 4 16.99 65000.00 17.01
## 6255 1 9000 3 5 25.82 41000.00 16.67
## 6256 0 35000 5 2 11.53 175000.00 21.19
## 6257 0 18350 3 3 14.99 50000.00 17.93
## 6258 0 14125 3 4 21.45 50419.00 19.23
## 6259 1 6000 3 2 8.18 75000.00 14.05
## 6260 0 4800 3 2 10.99 51000.00 15.42
## 6261 0 6500 3 1 6.49 22500.00 17.07
## 6262 0 13600 5 3 12.69 53600.00 31.57
## 6263 1 2000 3 6 23.43 123000.00 7.54
## 6264 0 8000 3 1 7.24 72000.00 7.45
## 6265 0 8000 3 4 16.99 31000.00 26.25
## 6266 0 4200 3 2 8.18 55209.00 22.72
## 6267 0 13675 3 2 10.99 42000.00 18.00
## 6268 0 3600 3 3 16.02 45600.00 8.39
## 6269 0 24000 3 2 9.17 200000.00 18.04
## 6270 0 6525 3 3 14.65 50000.00 23.60
## 6271 0 35000 3 3 15.31 96000.00 18.52
## 6272 0 6700 3 3 12.99 15000.00 29.32
## 6273 0 14000 3 1 6.49 130000.00 2.86
## 6274 0 15000 3 3 16.24 50000.00 26.04
## 6275 0 2450 3 3 15.80 35000.00 21.84
## 6276 0 8400 3 2 11.99 34000.00 22.41
## 6277 0 20000 3 2 11.44 92000.00 11.00
## 6278 0 9600 3 1 5.32 89000.00 8.82
## 6279 0 10000 3 3 14.31 70000.00 28.37
## 6280 0 20000 3 1 6.71 45000.00 9.52
## 6281 0 2500 3 2 9.17 24000.00 16.20
## 6282 0 4500 3 3 12.69 78000.00 11.08
## 6283 0 8000 3 4 16.99 47000.00 28.20
## 6284 1 17600 5 3 12.62 70000.00 27.86
## 6285 0 35000 5 2 9.17 165000.00 13.61
## 6286 0 10000 3 2 11.44 45000.00 6.48
## 6287 0 24000 5 2 8.24 149500.00 20.38
## 6288 0 15700 3 2 9.17 122500.00 6.56
## 6289 0 26700 3 2 9.76 53435.00 28.55
## 6290 0 25000 5 2 9.49 170000.00 14.95
## 6291 0 18200 3 1 8.60 62000.00 32.28
## 6292 0 8000 3 2 9.93 61349.00 22.87
## 6293 0 20000 5 3 14.49 104286.00 20.48
## 6294 1 3000 3 3 14.08 131000.00 18.69
## 6295 0 30000 3 4 19.72 110000.00 9.55
## 6296 0 20000 5 2 11.99 67000.00 15.19
## 6297 0 15075 3 4 21.49 55000.00 23.46
## 6298 0 10000 5 4 17.14 36000.00 17.91
## 6299 0 35000 3 1 7.39 250000.00 11.89
## 6300 0 18000 3 2 9.67 67000.00 22.66
## 6301 1 21725 5 5 21.67 58000.00 29.36
## 6302 0 24000 5 3 11.99 115000.00 25.39
## 6303 0 21600 3 3 13.49 164000.00 3.18
## 6304 1 4200 3 4 20.31 70000.00 13.29
## 6305 0 10000 3 2 10.99 45000.00 19.72
## 6306 0 5200 3 1 8.39 16000.00 13.20
## 6307 0 9600 3 3 13.18 30000.00 24.60
## 6308 0 8000 3 1 6.72 70000.00 18.22
## 6309 0 25000 3 1 7.49 70000.00 17.14
## 6310 1 24000 3 3 15.99 84000.00 16.11
## 6311 0 35000 3 4 18.25 185000.00 16.37
## 6312 0 16000 5 3 13.98 40000.00 22.08
## 6313 0 10625 5 3 16.20 31000.00 16.18
## 6314 0 16000 3 2 11.14 77000.00 5.84
## 6315 0 24000 5 2 8.67 55000.00 12.55
## 6316 0 12000 3 2 11.67 65000.00 12.22
## 6317 0 12000 3 2 10.74 100000.00 20.29
## 6318 0 2000 3 2 11.49 24000.00 7.60
## 6319 0 7200 3 3 14.99 60000.00 31.16
## 6320 0 3600 3 2 8.24 58000.00 17.57
## 6321 0 21000 3 1 7.26 135000.00 27.54
## 6322 0 8000 3 1 7.89 48000.00 27.80
## 6323 0 14000 3 2 11.99 140000.00 19.39
## 6324 1 25000 3 1 7.91 58000.00 26.93
## 6325 0 21600 5 4 18.24 90000.00 18.08
## 6326 0 15000 3 1 7.39 80000.00 14.37
## 6327 0 24000 3 1 5.32 90000.00 18.57
## 6328 1 12000 5 3 15.22 56000.00 25.26
## 6329 0 24350 3 5 19.48 58000.00 26.39
## 6330 0 19500 3 1 6.99 77000.00 23.75
## 6331 0 11175 5 3 15.05 110000.00 29.16
## 6332 1 31200 5 3 13.99 103000.00 14.46
## 6333 0 20000 5 4 18.75 110000.00 16.60
## 6334 0 14000 5 3 12.29 52000.00 13.75
## 6335 0 20000 3 2 10.75 75000.00 14.45
## 6336 0 8000 3 2 10.49 80000.00 11.88
## 6337 1 26575 5 7 25.99 70000.00 10.06
## 6338 0 11300 3 3 14.49 55000.00 18.43
## 6339 1 5200 3 1 6.54 75000.00 12.37
## 6340 0 12000 3 2 8.18 38000.00 30.13
## 6341 0 12000 3 2 9.49 60000.00 15.76
## 6342 0 10000 3 1 6.24 60000.00 16.90
## 6343 0 25000 3 2 9.67 130570.00 14.80
## 6344 1 18000 5 6 23.43 45000.00 23.95
## 6345 0 18000 3 2 8.67 100000.00 24.19
## 6346 0 5875 3 3 13.99 14040.00 28.89
## 6347 0 10000 3 1 8.90 80000.00 30.94
## 6348 0 19200 5 3 13.18 58562.00 18.36
## 6349 1 24000 3 2 10.41 86000.00 25.79
## 6350 1 10000 5 2 9.99 47840.00 19.77
## 6351 0 20000 5 4 17.57 60000.00 20.46
## 6352 0 21000 5 2 13.11 200000.00 9.33
## 6353 0 3000 3 2 11.06 70000.00 17.59
## 6354 0 2550 3 1 7.49 34000.00 20.54
## 6355 1 25000 5 3 14.64 61000.00 28.84
## 6356 0 12000 3 1 6.97 120000.00 7.30
## 6357 0 10000 5 3 12.74 93000.00 26.33
## 6358 0 30000 5 3 13.49 60000.00 17.74
## 6359 1 15000 3 2 11.47 44000.00 36.96
## 6360 0 17000 5 3 15.80 135000.00 24.15
## 6361 0 28000 5 3 13.98 132000.00 13.55
## 6362 1 20000 5 5 18.25 50000.00 17.69
## 6363 0 5000 3 3 12.74 125000.00 3.78
## 6364 0 13200 3 3 14.08 45000.00 23.01
## 6365 0 4000 3 3 13.59 140000.00 5.37
## 6366 0 20000 3 2 10.99 55000.00 18.38
## 6367 1 33000 5 4 18.45 130000.00 18.11
## 6368 0 19750 5 3 15.88 110000.00 5.39
## 6369 0 10000 3 2 8.39 63048.00 14.05
## 6370 0 10000 3 1 6.92 68334.00 20.55
## 6371 0 15000 3 3 12.69 109000.00 18.82
## 6372 0 20000 3 3 13.49 120000.00 9.73
## 6373 0 20000 3 2 10.78 50000.00 11.28
## 6374 0 14500 3 1 7.26 210000.00 17.84
## 6375 0 27000 5 2 10.90 19000.00 55.40
## 6376 0 7200 3 1 7.89 66000.00 15.40
## 6377 1 15425 5 6 22.99 43000.00 33.32
## 6378 0 21000 5 3 14.65 95000.00 29.57
## 6379 1 18550 3 3 15.80 45760.00 21.06
## 6380 0 10400 3 3 13.49 67200.00 21.79
## 6381 0 2500 3 1 6.49 43260.00 7.79
## 6382 0 15000 3 1 6.72 170000.00 8.60
## 6383 0 24000 3 2 10.99 90000.00 26.00
## 6384 1 28600 5 5 18.55 65000.00 11.02
## 6385 0 15000 5 4 16.29 42000.00 25.97
## 6386 0 16000 5 3 15.99 50000.00 28.95
## 6387 0 8000 3 2 10.99 70000.00 4.53
## 6388 0 8400 3 1 7.49 38900.00 24.71
## 6389 0 15000 5 4 15.61 55000.00 27.16
## 6390 0 14000 5 3 13.49 115000.00 18.76
## 6391 0 12500 3 1 5.32 40000.00 20.24
## 6392 0 5000 3 2 9.16 78000.00 9.05
## 6393 1 7200 3 4 16.55 99000.00 12.70
## 6394 0 18950 3 4 15.61 54000.00 16.73
## 6395 0 5325 3 2 11.44 58000.00 11.28
## 6396 1 9600 3 2 10.15 39000.00 29.82
## 6397 0 14250 3 2 9.99 31000.00 21.64
## 6398 1 11150 5 4 17.86 75000.00 20.99
## 6399 1 3500 3 3 14.07 61000.00 34.92
## 6400 0 3500 3 4 17.99 30600.00 9.22
## 6401 0 10000 3 2 10.99 60000.00 27.38
## 6402 0 7200 3 1 6.39 143000.00 19.35
## 6403 0 12000 3 1 6.24 120000.00 9.74
## 6404 0 10000 3 1 6.49 60000.00 18.06
## 6405 0 12000 3 2 11.44 96024.00 3.39
## 6406 0 8000 3 2 9.75 80000.00 35.15
## 6407 0 35000 5 3 15.99 141000.00 14.87
## 6408 0 40000 3 1 7.96 300000.00 19.14
## 6409 1 14125 5 6 23.70 40000.00 25.92
## 6410 0 2000 3 3 14.65 48000.00 5.90
## 6411 0 5000 3 1 7.51 95000.00 20.84
## 6412 0 15000 5 2 8.18 75441.00 9.97
## 6413 0 2000 3 3 12.79 135000.00 11.30
## 6414 0 10000 3 3 13.99 29000.00 12.04
## 6415 0 20000 3 1 7.89 109000.00 14.41
## 6416 0 24000 3 3 13.49 65000.00 6.50
## 6417 0 8400 3 1 8.39 130000.00 8.49
## 6418 0 35000 5 4 18.24 93700.00 21.40
## 6419 0 24000 3 1 6.49 75000.00 17.50
## 6420 0 28000 3 1 8.90 104400.00 24.34
## 6421 0 1000 3 1 6.49 50000.00 22.35
## 6422 0 21000 5 3 14.49 108000.00 15.62
## 6423 0 12000 3 3 11.99 70000.00 20.73
## 6424 0 20000 3 4 18.25 81636.00 14.52
## 6425 0 3750 3 2 8.18 55119.00 19.09
## 6426 0 3025 3 5 22.15 23818.00 5.65
## 6427 1 12000 3 4 16.99 50000.00 33.05
## 6428 0 10000 3 2 10.91 71000.00 29.87
## 6429 0 10000 5 6 30.17 0.00 17.61
## 6430 0 8000 3 2 11.44 60000.00 11.06
## 6431 0 18000 3 3 13.99 52000.00 27.39
## 6432 0 9000 3 1 7.62 70000.00 27.29
## 6433 0 15000 3 4 16.99 45000.00 31.42
## 6434 0 25000 5 2 11.47 50000.00 13.30
## 6435 1 30000 3 3 14.33 250000.00 5.08
## 6436 0 1200 3 4 19.05 60000.00 10.84
## 6437 0 12000 3 3 14.65 78000.00 25.62
## 6438 0 20000 3 4 16.99 90000.00 30.00
## 6439 0 28000 3 1 5.32 85000.00 15.04
## 6440 0 10000 3 2 10.15 45000.00 33.68
## 6441 1 8000 3 4 16.59 60000.00 27.26
## 6442 0 6000 3 2 11.53 35000.00 22.05
## 6443 0 7000 3 2 10.99 50000.00 4.92
## 6444 0 16000 3 3 17.27 55000.00 16.60
## 6445 0 14050 3 4 16.99 37000.00 16.15
## 6446 0 5000 3 3 12.99 76000.00 24.23
## 6447 0 10000 3 2 9.43 70000.00 10.85
## 6448 0 10000 3 2 11.14 130000.00 12.38
## 6449 0 10400 3 1 8.39 95000.00 21.06
## 6450 1 4300 3 5 19.99 22380.00 25.09
## 6451 0 10000 3 3 17.27 65000.00 3.69
## 6452 0 9000 3 2 9.99 110000.00 21.05
## 6453 0 35000 5 4 17.09 50560.00 44.79
## 6454 0 20000 3 2 11.53 160000.00 16.07
## 6455 1 24000 3 2 14.09 79084.00 31.64
## 6456 0 19200 3 1 7.49 55000.00 5.59
## 6457 0 12000 3 2 8.18 45000.00 20.99
## 6458 0 30000 3 1 7.89 225000.00 8.35
## 6459 0 28000 3 1 6.92 65000.00 14.85
## 6460 1 15000 5 3 14.99 46000.00 13.57
## 6461 0 11200 5 5 19.19 36000.00 28.83
## 6462 1 16000 3 4 16.99 75000.00 16.11
## 6463 1 28000 5 5 20.99 85000.00 19.65
## 6464 0 21000 3 1 8.19 42000.00 22.80
## 6465 0 10000 3 2 10.99 124000.00 13.54
## 6466 0 1600 3 3 17.10 25000.00 12.10
## 6467 0 24300 3 2 8.18 102000.00 29.46
## 6468 0 12000 3 2 8.24 400000.00 7.57
## 6469 0 7350 3 3 13.59 26000.00 24.89
## 6470 0 25000 3 1 7.26 72000.00 24.07
## 6471 0 10000 3 3 13.49 60000.00 3.76
## 6472 0 12000 3 2 9.99 125000.00 19.58
## 6473 0 14000 5 4 16.99 100000.00 29.43
## 6474 0 5600 3 3 13.35 38208.00 18.23
## 6475 1 9000 3 2 9.99 50000.00 5.30
## 6476 0 3500 3 2 9.99 65000.00 7.31
## 6477 0 15000 3 1 6.49 55000.00 10.47
## 6478 0 21000 5 3 13.99 135000.00 18.41
## 6479 0 10000 3 1 6.49 71000.00 18.54
## 6480 0 30000 3 3 14.64 78000.00 14.17
## 6481 0 5000 3 1 7.97 32000.00 5.55
## 6482 0 11000 3 2 10.99 38000.00 26.69
## 6483 0 12000 3 2 10.91 60000.00 6.54
## 6484 1 19800 5 5 19.52 45000.00 35.20
## 6485 0 8400 3 3 14.31 45004.00 18.79
## 6486 0 17500 3 1 7.69 66500.00 6.05
## 6487 0 8900 3 1 8.59 60000.00 34.77
## 6488 0 16000 3 3 11.99 95000.00 21.46
## 6489 0 10000 3 2 11.99 39000.00 7.60
## 6490 0 3500 3 1 7.51 21600.00 21.33
## 6491 0 10200 3 3 13.65 145000.00 8.85
## 6492 0 5000 3 3 15.31 48000.00 23.95
## 6493 0 5000 3 3 12.29 31200.00 30.62
## 6494 0 17500 3 3 12.62 59800.00 9.55
## 6495 1 12000 5 5 21.48 40000.00 13.02
## 6496 0 12000 3 2 11.99 65000.00 19.98
## 6497 0 1000 3 1 5.32 77000.00 9.46
## 6498 0 9000 3 3 13.68 35216.00 31.66
## 6499 0 24000 5 3 13.59 66000.00 30.35
## 6500 0 11425 3 3 12.99 65000.00 15.42
## 6501 0 15000 5 4 17.57 56000.00 7.14
## 6502 0 5500 3 2 11.49 100000.00 0.74
## 6503 0 6400 3 1 6.62 85000.00 21.18
## 6504 0 4000 3 1 6.62 70000.00 15.12
## 6505 0 3450 3 4 17.86 10800.00 34.22
## 6506 1 32000 5 3 14.31 200000.00 13.64
## 6507 0 20000 3 2 11.47 125000.00 16.20
## 6508 0 9000 3 2 11.47 40000.00 11.01
## 6509 0 14400 5 2 11.67 89268.00 2.22
## 6510 0 4975 5 3 14.33 17000.00 16.73
## 6511 0 14000 3 1 5.32 71500.00 12.84
## 6512 0 35000 5 4 15.61 100000.00 39.37
## 6513 0 6350 3 4 17.57 50000.00 6.05
## 6514 0 17125 3 3 13.59 40058.50 19.92
## 6515 1 8000 3 2 11.55 48000.00 24.65
## 6516 0 5000 3 2 10.42 75000.00 4.05
## 6517 1 22500 3 3 13.49 50000.00 28.25
## 6518 0 10000 5 1 6.91 48000.00 19.20
## 6519 0 10000 3 2 8.99 40000.00 24.24
## 6520 0 14400 3 2 8.24 80000.00 9.90
## 6521 0 9000 3 2 12.85 72000.00 17.83
## 6522 0 6025 3 2 11.44 22380.00 11.96
## 6523 0 6000 3 1 7.59 115000.00 11.38
## 6524 1 24000 5 5 22.47 125000.00 14.99
## 6525 0 19000 5 3 15.22 77000.00 22.46
## 6526 0 12000 3 2 11.14 45000.00 20.43
## 6527 1 17550 3 3 13.18 75000.00 8.06
## 6528 0 6000 3 3 14.64 45000.00 28.72
## 6529 0 5000 3 1 6.68 50000.00 13.75
## 6530 0 21000 3 1 5.31 124000.00 8.87
## 6531 1 15000 3 3 13.59 156000.00 9.70
## 6532 0 4800 3 3 14.65 43608.00 38.23
## 6533 0 15000 3 1 8.19 100000.00 11.38
## 6534 0 34000 5 4 17.57 85000.00 20.02
## 6535 1 9575 3 3 14.99 83000.00 6.29
## 6536 0 7000 3 1 6.99 63000.00 15.37
## 6537 1 25000 5 5 20.99 87000.00 22.68
## 6538 0 11275 3 3 14.30 63000.00 19.78
## 6539 1 28000 5 4 18.99 83000.00 18.19
## 6540 0 6000 3 3 14.33 30000.00 3.32
## 6541 0 30000 3 1 7.99 150000.00 5.01
## 6542 0 10000 3 1 5.32 48000.00 11.01
## 6543 0 9000 3 1 8.90 80000.00 15.62
## 6544 0 20000 5 3 14.64 70000.00 24.58
## 6545 0 6500 3 2 11.49 54400.00 20.19
## 6546 0 35000 3 2 9.17 194000.00 16.44
## 6547 0 1200 3 6 29.69 65000.00 29.78
## 6548 0 10000 3 1 6.68 71000.00 26.15
## 6549 0 23000 3 2 8.67 80000.00 13.14
## 6550 0 18000 3 4 20.00 78271.00 19.73
## 6551 0 14000 3 2 8.39 78000.00 10.72
## 6552 0 16000 3 3 13.33 85000.00 17.48
## 6553 0 5000 3 3 14.33 40572.00 18.52
## 6554 0 19425 5 6 22.95 56400.00 27.82
## 6555 0 16000 5 4 16.29 36000.00 32.28
## 6556 0 5000 3 1 6.89 25000.00 7.44
## 6557 0 8000 3 2 12.99 50000.00 19.82
## 6558 0 2300 3 1 6.62 100000.00 5.81
## 6559 0 7800 3 1 7.89 115000.00 9.89
## 6560 0 9925 3 3 15.31 34500.00 23.90
## 6561 0 3500 3 2 11.53 80000.00 28.09
## 6562 0 12000 3 2 9.67 62000.00 32.13
## 6563 0 4800 3 5 21.00 37000.00 26.71
## 6564 0 3050 3 2 10.75 40000.00 11.46
## 6565 0 9425 3 3 15.31 40000.00 23.10
## 6566 1 5000 3 1 7.49 65000.00 16.03
## 6567 1 24575 5 3 15.80 55500.00 22.68
## 6568 1 14600 5 5 20.49 54000.00 9.07
## 6569 0 8000 3 4 15.61 30000.00 31.20
## 6570 0 28000 3 1 7.90 90000.00 18.41
## 6571 0 1500 3 1 6.99 47268.00 21.00
## 6572 1 21375 3 4 16.99 65000.00 21.69
## 6573 0 24000 3 2 8.18 125000.00 20.81
## 6574 0 18000 3 1 7.89 100000.00 29.34
## 6575 1 10000 3 3 14.99 90000.00 18.61
## 6576 0 21000 3 2 10.16 94000.00 26.67
## 6577 0 5000 3 2 10.49 100000.00 6.08
## 6578 0 6000 3 1 6.89 186000.00 12.45
## 6579 0 15000 3 3 12.62 80000.00 11.78
## 6580 1 18000 5 4 18.06 52000.00 15.69
## 6581 1 15000 3 3 13.99 88000.00 12.81
## 6582 0 19000 3 3 13.99 60000.00 13.78
## 6583 0 9775 3 1 6.92 135000.00 14.25
## 6584 0 26000 3 2 12.49 104000.00 18.87
## 6585 0 10000 3 1 7.74 56000.00 9.02
## 6586 0 35000 3 2 11.14 135000.00 10.22
## 6587 0 20000 3 3 14.65 120000.00 8.41
## 6588 0 19075 5 4 17.99 39000.00 25.51
## 6589 0 3925 3 3 14.31 28500.00 11.33
## 6590 1 20000 5 3 13.67 63000.00 20.97
## 6591 0 15000 3 2 10.99 108000.00 9.76
## 6592 0 20000 5 2 9.43 125000.00 23.35
## 6593 1 32500 5 5 19.99 103000.00 23.43
## 6594 0 20000 3 3 12.79 80000.00 16.26
## 6595 1 9350 3 3 13.98 70000.00 22.10
## 6596 0 5000 3 2 10.75 50000.00 17.50
## 6597 1 15150 3 2 11.55 60000.00 0.00
## 6598 0 20325 3 4 17.27 63000.00 28.93
## 6599 0 10075 5 4 16.99 47000.00 34.47
## 6600 0 13375 5 5 21.18 40000.00 11.88
## 6601 0 40000 3 1 6.11 310000.00 12.81
## 6602 0 30000 3 1 8.39 65774.00 0.00
## 6603 0 5000 3 2 8.39 83000.00 13.64
## 6604 0 24000 3 2 9.80 120000.00 15.82
## 6605 0 13000 3 2 13.67 68000.00 20.35
## 6606 0 7200 3 2 9.76 25800.00 28.00
## 6607 1 20775 5 4 19.05 65000.00 30.55
## 6608 0 10500 3 3 12.69 51000.00 9.06
## 6609 0 17000 3 1 7.62 57200.00 27.17
## 6610 1 20000 3 2 8.18 98000.00 32.23
## 6611 1 18000 5 3 14.31 62000.00 28.80
## 6612 0 8575 3 4 17.57 90000.00 20.53
## 6613 0 16000 3 2 12.99 39580.63 26.59
## 6614 0 15000 3 3 13.35 75000.00 5.47
## 6615 1 24000 3 4 17.76 87000.00 15.82
## 6616 0 35000 3 1 7.39 405000.00 4.77
## 6617 0 8500 3 1 8.90 56000.00 34.59
## 6618 0 12000 3 3 13.99 60000.00 16.28
## 6619 0 26000 3 1 6.24 600000.00 2.94
## 6620 0 10000 3 4 18.25 75000.00 24.93
## 6621 1 10000 5 3 12.62 35000.00 20.75
## 6622 0 27500 5 2 10.99 60000.00 23.08
## 6623 0 16150 5 5 19.52 45000.00 19.76
## 6624 0 8000 3 3 14.08 65000.00 12.50
## 6625 0 16425 5 3 14.99 90000.00 21.32
## 6626 0 24000 3 2 12.49 120000.00 16.31
## 6627 0 12000 3 1 8.39 90000.00 18.35
## 6628 0 24000 5 4 21.85 120000.00 9.31
## 6629 0 19125 3 1 7.69 57000.00 24.86
## 6630 0 7000 3 1 5.32 90000.00 15.95
## 6631 0 20000 3 3 14.49 65200.00 3.59
## 6632 0 32000 3 2 10.49 120000.00 12.22
## 6633 0 7200 3 1 5.32 58000.00 4.02
## 6634 0 10400 3 2 13.11 49000.00 8.82
## 6635 0 8000 3 3 12.69 58000.00 8.30
## 6636 1 12000 3 2 9.49 88200.00 26.38
## 6637 0 12200 3 2 11.49 53000.00 23.10
## 6638 0 16000 5 3 15.05 56000.00 18.41
## 6639 0 20000 3 1 6.24 68000.00 20.58
## 6640 0 2400 3 4 18.06 54000.00 18.76
## 6641 1 15800 3 4 21.49 120000.00 3.48
## 6642 0 19000 3 4 19.05 70000.00 19.70
## 6643 0 10500 3 1 6.24 129000.00 18.38
## 6644 0 40000 3 2 9.16 160000.00 20.38
## 6645 1 10000 3 2 10.91 60000.00 28.18
## 6646 0 35000 5 4 15.59 125000.00 12.92
## 6647 0 15000 5 3 15.05 68186.00 20.17
## 6648 0 35000 3 3 14.65 190000.00 17.26
## 6649 0 35000 3 1 7.89 200000.00 12.12
## 6650 1 15000 3 1 7.49 106000.00 13.76
## 6651 0 35000 3 3 15.61 113566.00 19.06
## 6652 0 25000 3 1 7.89 60000.00 11.78
## 6653 0 10000 3 2 10.15 300000.00 4.55
## 6654 0 6000 3 2 9.16 101472.00 20.49
## 6655 0 15500 5 2 10.42 53000.00 18.55
## 6656 0 15700 3 3 12.29 50000.00 16.35
## 6657 0 28000 5 3 12.74 128000.00 10.07
## 6658 1 10000 3 1 6.92 68700.00 16.54
## 6659 0 20000 5 3 14.08 65000.00 14.96
## 6660 0 7600 5 6 21.36 100000.00 5.58
## 6661 1 5000 3 2 10.75 30700.00 9.62
## 6662 0 11500 3 1 7.69 85000.00 26.81
## 6663 1 8000 3 3 13.35 70000.00 14.86
## 6664 0 13000 3 3 13.56 52000.00 13.87
## 6665 0 18000 5 4 18.45 80000.00 16.07
## 6666 0 2500 3 4 17.47 23000.00 13.83
## 6667 0 25650 3 2 9.76 65000.00 20.71
## 6668 1 10000 3 4 19.05 70000.00 24.93
## 6669 0 8000 3 2 14.09 105000.00 10.10
## 6670 1 25000 3 1 8.90 74300.00 28.07
## 6671 0 22500 5 4 18.85 70000.00 22.65
## 6672 1 5325 3 4 16.59 105000.00 7.10
## 6673 0 3000 3 1 7.35 60000.00 2.42
## 6674 0 10000 5 2 9.76 48000.00 11.33
## 6675 1 13000 5 4 18.92 65000.00 20.83
## 6676 1 14900 5 5 23.40 46000.00 24.55
## 6677 0 19000 3 1 6.72 34800.00 41.76
## 6678 0 3500 3 3 12.99 100000.00 13.06
## 6679 1 10000 3 2 9.75 48000.00 23.35
## 6680 0 1400 5 2 12.12 30000.00 21.64
## 6681 0 24575 5 3 15.10 70000.00 16.27
## 6682 0 15175 5 4 16.29 22700.00 18.67
## 6683 0 28000 5 5 22.39 108500.00 15.40
## 6684 0 21000 5 4 21.45 61000.00 12.35
## 6685 0 5000 3 1 6.07 50592.00 2.30
## 6686 0 4000 3 2 10.99 85000.00 12.48
## 6687 0 24000 3 2 9.17 165000.00 17.11
## 6688 1 10000 3 3 15.05 37500.00 12.70
## 6689 0 10000 3 4 15.41 84000.00 14.64
## 6690 0 6125 3 2 10.99 64000.00 36.47
## 6691 0 28800 3 3 11.99 65000.00 13.28
## 6692 1 7200 3 3 13.67 32500.00 7.39
## 6693 0 17500 3 2 10.91 78000.00 16.55
## 6694 1 35000 5 5 18.99 154800.00 12.69
## 6695 1 5000 3 2 9.43 60495.20 27.24
## 6696 0 1800 3 1 7.49 41000.00 8.84
## 6697 0 7000 3 2 8.99 75000.00 7.68
## 6698 0 6700 3 1 6.62 50000.00 1.80
## 6699 0 10825 3 3 15.80 61500.00 15.71
## 6700 0 21700 3 2 8.18 52000.00 10.13
## 6701 0 35000 3 1 6.72 125000.00 11.66
## 6702 0 6000 3 3 12.69 36000.00 23.00
## 6703 0 18000 5 3 12.29 140000.00 7.88
## 6704 0 20000 3 2 11.99 48282.00 13.68
## 6705 0 25600 5 3 15.05 115000.00 21.13
## 6706 0 4750 3 4 16.99 66000.00 34.24
## 6707 0 31200 5 2 11.53 72219.00 10.78
## 6708 0 12000 5 3 13.49 70000.00 10.11
## 6709 0 7500 3 4 16.29 125000.00 2.25
## 6710 0 10800 5 3 13.99 41000.00 27.14
## 6711 0 4650 3 4 17.57 105000.00 32.67
## 6712 0 5600 3 2 10.99 34000.00 21.10
## 6713 0 10000 3 2 8.39 75000.00 14.38
## 6714 1 12000 5 3 15.31 40000.00 23.55
## 6715 0 13000 3 3 13.66 54000.00 19.36
## 6716 0 12400 3 3 13.99 27000.00 24.84
## 6717 0 22600 5 2 11.99 128000.00 30.58
## 6718 0 24800 3 1 5.32 65000.00 21.68
## 6719 0 10000 5 4 16.99 53280.00 4.84
## 6720 1 9450 3 4 17.77 27040.00 17.40
## 6721 0 15000 3 2 11.44 75000.00 4.02
## 6722 0 7200 3 1 7.89 90000.00 12.49
## 6723 0 10800 5 4 19.52 100000.00 10.79
## 6724 0 8000 3 3 11.99 150000.00 28.10
## 6725 0 1800 3 2 9.17 19000.00 27.86
## 6726 0 9800 3 2 8.39 65000.00 11.76
## 6727 1 28000 3 1 7.89 150000.00 20.22
## 6728 0 35000 3 4 16.99 105000.00 19.05
## 6729 0 25000 5 2 10.99 87209.00 33.12
## 6730 0 33000 5 3 14.99 100000.00 22.12
## 6731 0 9500 3 2 9.17 65000.00 3.69
## 6732 0 12175 3 4 17.57 60000.00 7.30
## 6733 1 10000 3 3 13.49 40000.00 28.92
## 6734 0 12000 3 3 16.02 65000.00 22.73
## 6735 1 14675 3 2 14.09 71000.00 25.13
## 6736 1 35000 5 4 17.57 234000.00 7.30
## 6737 0 12800 3 3 13.99 100000.00 7.62
## 6738 1 20000 3 2 10.42 25000.00 9.75
## 6739 1 29875 5 6 23.63 73000.00 32.38
## 6740 0 4800 3 3 14.31 57000.00 19.16
## 6741 1 24375 5 5 19.19 55440.00 35.63
## 6742 1 10000 3 4 16.99 60000.00 24.46
## 6743 1 17550 3 5 20.99 40000.00 38.01
## 6744 0 12000 3 2 11.44 75000.00 10.44
## 6745 0 20000 3 3 12.69 64776.00 9.87
## 6746 1 7000 3 2 14.09 124970.00 4.44
## 6747 0 4200 3 3 14.46 34000.00 7.84
## 6748 1 18000 5 3 14.49 62000.00 23.91
## 6749 0 11000 3 3 13.66 36000.00 13.40
## 6750 0 9000 3 2 10.16 60000.00 4.76
## 6751 0 2000 3 1 8.59 28880.00 15.96
## 6752 0 16000 3 1 6.03 110000.00 5.01
## 6753 0 6000 3 2 11.49 150000.00 4.44
## 6754 0 8000 3 1 6.24 30000.00 34.68
## 6755 1 7200 3 3 12.69 106000.00 7.64
## 6756 0 12000 3 2 11.99 60000.00 16.92
## 6757 0 25000 3 1 6.99 116000.00 8.33
## 6758 0 24000 3 1 5.32 188000.00 9.59
## 6759 0 12000 3 2 9.17 115000.00 24.18
## 6760 0 6600 3 2 10.49 65000.00 16.82
## 6761 1 22800 5 6 24.89 115000.00 8.45
## 6762 0 15000 3 1 6.49 48500.00 2.87
## 6763 1 15000 3 3 12.69 50000.00 34.84
## 6764 0 5875 3 5 18.99 45000.00 20.99
## 6765 1 7750 3 3 14.49 36900.00 27.19
## 6766 0 8000 3 2 11.53 78000.00 5.02
## 6767 0 3600 3 2 9.44 92100.00 18.91
## 6768 0 3500 3 2 9.75 36000.00 32.13
## 6769 1 5000 3 2 11.49 42000.00 22.34
## 6770 0 7500 3 2 12.49 25000.00 10.18
## 6771 1 10000 5 4 18.49 55000.00 30.29
## 6772 0 18000 5 2 11.47 98000.00 9.45
## 6773 1 8000 3 4 16.59 40000.00 6.51
## 6774 0 18000 3 2 9.44 206000.00 15.75
## 6775 0 9700 3 5 21.18 30000.00 10.79
## 6776 1 10000 5 2 11.53 92000.00 13.34
## 6777 0 21000 3 1 8.90 148896.00 16.50
## 6778 0 7000 3 1 7.59 40000.00 19.80
## 6779 0 3000 3 2 10.99 46000.00 13.59
## 6780 0 10000 3 2 9.17 90000.00 16.12
## 6781 0 12000 3 1 6.03 75000.00 16.29
## 6782 1 16000 3 1 7.51 60000.00 20.04
## 6783 0 8525 3 3 15.31 48000.00 27.20
## 6784 1 20000 3 3 14.48 93000.00 3.64
## 6785 0 13000 3 2 12.49 56000.00 18.99
## 6786 0 7000 3 3 12.99 38000.00 17.85
## 6787 0 35000 3 2 8.49 170000.00 11.92
## 6788 0 7200 3 3 12.69 79000.00 21.40
## 6789 0 28000 3 1 5.32 115000.00 24.92
## 6790 0 5000 3 3 14.46 109000.00 7.59
## 6791 0 5000 3 3 12.69 77000.00 14.50
## 6792 0 28000 3 1 6.39 135000.00 19.17
## 6793 0 24000 5 4 16.59 100000.00 14.51
## 6794 1 17925 3 3 13.33 39000.00 31.57
## 6795 0 7200 3 1 8.59 110000.00 11.71
## 6796 1 12000 3 3 12.88 76000.00 24.37
## 6797 0 15000 3 1 6.62 60000.00 28.78
## 6798 0 11000 3 1 5.32 180000.00 2.81
## 6799 0 30000 5 4 17.99 85000.00 5.52
## 6800 0 16000 3 1 6.49 100000.00 8.74
## 6801 0 35000 5 5 24.99 100000.00 33.22
## 6802 0 8400 3 2 9.17 30000.00 26.64
## 6803 1 6000 3 1 7.26 30000.00 29.68
## 6804 0 7000 3 3 12.59 97000.00 5.67
## 6805 0 2400 3 5 26.30 28000.00 38.58
## 6806 0 24000 3 3 12.29 80000.00 19.37
## 6807 0 10000 5 4 17.09 100000.00 20.30
## 6808 0 21000 5 2 9.99 95000.00 16.51
## 6809 0 15950 3 3 14.65 40000.00 19.47
## 6810 0 5750 3 1 5.32 52000.00 14.15
## 6811 0 15350 3 3 15.99 47936.00 9.04
## 6812 0 1350 3 2 9.16 35000.00 26.65
## 6813 0 15000 3 2 11.44 60000.00 12.02
## 6814 0 6000 3 1 5.32 43500.00 0.69
## 6815 0 10000 3 2 9.99 65000.00 8.29
## 6816 0 5350 3 2 9.17 72000.00 14.08
## 6817 1 9600 3 2 12.49 35000.00 10.49
## 6818 1 4725 3 4 17.86 17280.00 30.42
## 6819 1 20000 3 2 10.75 65000.00 14.49
## 6820 0 14400 5 3 12.69 62500.00 10.29
## 6821 0 8975 3 2 10.16 62000.00 25.06
## 6822 0 8000 3 2 9.44 53000.00 27.36
## 6823 0 20000 5 3 13.59 83000.00 23.40
## 6824 1 20000 3 4 15.61 75000.00 26.66
## 6825 1 15275 5 4 17.56 60000.00 34.30
## 6826 0 7000 3 1 8.90 50000.00 10.99
## 6827 0 3500 3 3 14.65 29000.00 6.21
## 6828 0 2800 3 2 12.99 50024.00 30.04
## 6829 0 18150 5 4 16.99 60000.00 29.50
## 6830 0 3000 3 2 11.49 120000.00 8.81
## 6831 0 10800 5 4 15.61 50000.00 34.81
## 6832 1 11400 3 3 12.99 55000.00 10.60
## 6833 1 4000 3 3 16.01 26000.00 9.65
## 6834 0 31825 5 3 15.22 185000.00 23.28
## 6835 0 15000 3 2 9.16 95000.00 10.01
## 6836 0 7500 3 2 10.95 37000.00 14.72
## 6837 0 18000 5 3 12.59 112000.00 32.12
## 6838 0 16800 5 3 13.33 80000.00 26.95
## 6839 0 1600 3 4 16.55 84017.00 30.05
## 6840 0 9500 3 1 6.49 45000.00 24.64
## 6841 0 35000 5 3 16.24 105000.00 8.80
## 6842 0 28000 5 3 12.99 82000.00 25.89
## 6843 0 5100 3 3 13.67 33000.00 38.31
## 6844 1 10000 3 4 16.99 34000.00 16.27
## 6845 1 14400 3 2 13.11 60000.00 10.75
## 6846 0 12000 5 4 16.59 39000.00 9.12
## 6847 0 1600 3 3 12.99 53000.00 12.25
## 6848 0 20000 5 3 16.29 105000.00 15.68
## 6849 0 12000 5 3 14.98 62467.00 22.94
## 6850 1 27000 5 4 17.86 68000.00 36.76
## 6851 0 7000 3 4 15.61 20800.00 24.52
## 6852 1 10000 3 3 13.59 35000.00 23.53
## 6853 0 9000 3 2 10.99 88250.00 9.61
## 6854 1 18000 5 3 15.22 70000.00 9.34
## 6855 0 1200 3 2 11.44 61000.00 12.39
## 6856 0 9000 3 2 8.49 60000.00 13.04
## 6857 0 10000 3 4 18.85 52000.00 9.25
## 6858 0 6000 3 3 12.62 40000.00 25.50
## 6859 1 24000 5 5 22.39 118000.00 10.03
## 6860 0 7200 3 3 13.33 20000.00 33.55
## 6861 0 24000 3 2 8.18 96000.00 22.55
## 6862 1 5000 3 4 17.99 23000.00 29.44
## 6863 0 5600 3 2 8.99 60750.00 7.92
## 6864 1 5000 3 4 16.29 43000.00 12.10
## 6865 0 24925 5 4 16.29 60000.00 28.16
## 6866 1 6750 3 6 26.14 60000.00 10.78
## 6867 0 24000 3 4 17.77 62000.00 29.55
## 6868 0 2800 3 4 16.99 63800.00 22.69
## 6869 1 14675 3 2 13.11 37000.00 15.02
## 6870 1 18275 5 6 23.76 42000.00 28.09
## 6871 1 8000 3 3 12.62 19000.00 33.86
## 6872 0 10500 3 1 7.39 62304.00 7.18
## 6873 0 13650 5 5 19.99 49000.00 22.41
## 6874 0 10000 5 2 10.49 55000.00 15.30
## 6875 0 25000 3 1 7.49 165000.00 18.73
## 6876 1 24000 5 2 9.16 72000.00 30.25
## 6877 0 11200 3 5 24.74 32000.00 30.23
## 6878 0 6500 3 1 7.74 67000.00 12.77
## 6879 0 10000 3 4 16.99 63000.00 18.80
## 6880 0 12000 3 1 7.89 65000.00 18.22
## 6881 0 8750 3 3 12.39 72300.00 19.75
## 6882 1 35000 5 6 24.99 90000.00 24.72
## 6883 0 20000 3 2 9.92 110000.00 12.88
## 6884 1 35000 5 4 19.03 95000.00 19.05
## 6885 0 20000 5 2 12.49 95568.00 27.12
## 6886 0 28000 3 2 11.67 110000.00 6.76
## 6887 0 35000 3 5 21.67 130000.00 33.60
## 6888 0 3000 3 2 8.24 45000.00 19.95
## 6889 0 2500 3 3 15.59 57000.00 22.63
## 6890 0 3825 3 2 10.64 13596.00 24.80
## 6891 0 19150 3 3 12.29 74000.00 20.16
## 6892 0 20000 3 1 6.62 55000.00 5.04
## 6893 0 7700 3 3 14.64 26000.00 34.03
## 6894 1 10000 3 3 12.69 28000.00 34.68
## 6895 0 5500 3 2 12.12 50000.00 20.21
## 6896 0 14075 3 5 22.35 78000.00 33.38
## 6897 0 15000 3 3 12.69 40000.00 21.78
## 6898 0 22000 5 3 11.99 90000.00 14.29
## 6899 0 22575 3 5 25.81 85000.00 35.69
## 6900 0 9500 3 1 6.89 35472.00 30.51
## 6901 0 10000 3 3 15.99 115000.00 19.20
## 6902 0 7000 3 2 11.44 63000.00 20.08
## 6903 1 6000 3 3 14.08 68000.00 28.50
## 6904 1 9000 3 4 18.75 26000.00 13.66
## 6905 0 25000 5 5 20.49 60300.00 20.86
## 6906 0 10000 5 4 20.00 35000.00 9.26
## 6907 0 20000 5 1 7.26 100000.00 13.16
## 6908 1 9000 3 3 11.99 60000.00 11.04
## 6909 0 14125 3 2 9.99 60699.00 12.28
## 6910 1 32650 5 5 19.19 71000.00 21.81
## 6911 0 16800 5 2 11.53 121000.00 17.19
## 6912 0 15000 3 3 13.18 45000.00 38.05
## 6913 0 14000 5 2 9.17 76000.00 13.31
## 6914 1 6000 3 2 12.35 46000.00 10.20
## 6915 0 15350 3 3 17.27 53102.00 16.68
## 6916 0 11050 3 1 7.49 70000.00 26.81
## 6917 0 35000 5 4 17.57 212000.00 8.66
## 6918 0 16000 3 2 8.39 71000.00 20.84
## 6919 0 8400 3 2 9.17 45000.00 15.23
## 6920 0 7450 3 3 13.18 14900.00 28.85
## 6921 1 15400 5 5 20.99 35000.00 34.71
## 6922 0 19200 5 2 10.16 150000.00 23.10
## 6923 0 8000 3 2 9.99 25000.00 21.60
## 6924 1 11200 3 3 13.33 39000.00 24.25
## 6925 0 24125 3 3 15.99 107100.00 25.36
## 6926 0 9575 3 2 11.53 35000.00 14.20
## 6927 1 15000 3 3 16.29 52786.00 25.30
## 6928 0 8000 3 2 9.43 32000.00 14.44
## 6929 1 25075 5 5 20.99 90000.00 28.96
## 6930 0 5000 3 2 11.49 43700.00 20.90
## 6931 0 3300 3 4 16.99 40000.00 33.18
## 6932 0 18000 3 2 8.39 135000.00 12.60
## 6933 0 15000 3 4 18.25 54000.00 22.13
## 6934 0 37500 3 3 12.74 75000.00 20.53
## 6935 0 20000 3 1 7.89 95000.00 15.28
## 6936 1 3000 3 4 21.45 55000.00 19.94
## 6937 0 15000 3 1 8.90 170000.00 9.59
## 6938 0 10000 3 3 15.59 48000.00 22.08
## 6939 1 22750 5 4 17.77 144000.00 32.76
## 6940 1 18950 3 4 16.99 60000.00 24.10
## 6941 0 9900 3 1 6.99 138000.00 18.85
## 6942 0 25000 3 1 7.89 72000.00 17.55
## 6943 0 14000 3 2 8.24 63000.00 11.37
## 6944 0 20050 3 2 14.09 45000.00 32.06
## 6945 0 2800 3 5 22.74 38880.00 11.80
## 6946 0 27000 3 1 6.24 92000.00 7.96
## 6947 1 10000 5 3 11.99 75000.00 15.47
## 6948 0 10000 3 3 14.49 110000.00 13.70
## 6949 0 20000 5 3 13.98 85000.00 16.98
## 6950 1 6000 3 3 13.67 78000.00 18.00
## 6951 0 5000 3 3 12.69 120000.00 16.80
## 6952 0 11675 3 1 7.62 49000.00 10.68
## 6953 0 35000 3 1 7.07 240000.00 19.17
## 6954 1 25600 5 6 24.99 64000.00 31.60
## 6955 1 7200 3 4 17.27 70000.00 10.82
## 6956 1 35000 5 5 20.99 108000.00 12.92
## 6957 0 19875 5 4 15.61 54000.00 27.18
## 6958 0 20000 5 3 12.29 40000.00 33.15
## 6959 0 8400 3 3 14.99 28000.00 4.67
## 6960 0 14000 3 3 14.49 35000.00 15.50
## 6961 1 1000 3 5 19.52 12000.00 28.07
## 6962 0 18000 3 2 8.49 62000.00 13.84
## 6963 0 8750 3 3 12.29 29376.00 34.40
## 6964 1 25000 5 4 17.97 35000.00 19.09
## 6965 0 21000 5 4 18.99 113000.00 20.11
## 6966 0 6900 3 1 5.93 33000.00 11.45
## 6967 1 18000 3 4 16.99 54000.00 35.13
## 6968 0 10975 5 7 28.14 87818.00 5.33
## 6969 0 10000 3 2 10.42 50000.00 17.13
## 6970 1 35000 3 3 14.30 275000.00 9.14
## 6971 0 6400 5 5 22.70 100000.00 10.27
## 6972 0 7500 3 1 6.03 105000.00 10.71
## 6973 0 6000 3 2 9.99 82000.00 17.74
## 6974 0 20000 5 5 18.25 57000.00 18.74
## 6975 1 30000 5 7 30.94 73300.00 30.93
## 6976 0 7200 3 1 7.90 36000.00 13.93
## 6977 1 15000 5 4 15.61 82000.00 15.73
## 6978 0 19200 3 2 9.75 120000.00 7.24
## 6979 0 35000 5 5 24.37 45999.00 36.58
## 6980 1 30000 3 1 5.32 136000.00 15.02
## 6981 1 5000 3 3 12.74 55000.00 29.28
## 6982 0 18000 5 5 21.97 92000.00 30.04
## 6983 0 10000 3 2 11.53 100000.00 23.90
## 6984 1 10000 5 6 28.72 45000.00 12.91
## 6985 1 15000 3 1 7.89 70000.00 15.05
## 6986 0 10000 3 3 14.49 52000.00 17.06
## 6987 1 15000 3 1 7.69 83000.00 17.45
## 6988 0 24000 3 2 9.49 155000.00 12.11
## 6989 1 2800 3 4 17.09 88800.00 26.03
## 6990 0 3200 3 3 13.33 42800.00 14.27
## 6991 0 24000 5 3 15.02 56000.00 14.42
## 6992 1 20000 5 3 15.99 73876.47 9.35
## 6993 1 10925 3 3 13.59 40000.00 24.42
## 6994 0 10000 3 2 9.43 60000.00 20.62
## 6995 0 35000 3 4 17.27 211000.00 9.44
## 6996 0 10000 3 3 11.99 89000.00 18.06
## 6997 0 20000 3 2 11.99 62500.00 15.30
## 6998 1 7500 3 1 7.62 74000.00 12.06
## 6999 0 22200 3 5 21.18 60000.00 21.98
## 7000 1 5000 3 3 12.69 76000.00 10.91
## 7001 0 4500 3 3 13.33 48000.00 6.43
## 7002 0 10000 3 1 5.32 55000.00 19.66
## 7003 0 23650 3 2 10.75 67500.00 27.18
## 7004 0 15000 3 2 11.44 64000.00 23.57
## 7005 1 14000 5 3 16.02 39520.00 9.51
## 7006 1 15600 5 4 21.49 72000.00 12.71
## 7007 0 11000 3 2 8.39 49000.00 14.74
## 7008 0 19200 3 3 12.69 70000.00 19.89
## 7009 0 14900 5 5 20.49 34000.00 36.22
## 7010 1 12600 3 4 18.99 31500.00 33.18
## 7011 0 4000 3 2 8.18 21000.00 8.97
## 7012 0 21975 5 6 25.78 61078.00 18.22
## 7013 1 13375 3 3 14.65 79000.00 8.87
## 7014 0 13150 5 3 12.69 47000.00 15.96
## 7015 1 8000 3 3 13.99 105000.00 9.81
## 7016 0 6250 3 3 14.65 69300.00 19.32
## 7017 0 24000 3 1 5.32 126000.00 12.89
## 7018 1 25000 5 5 18.25 62000.00 33.29
## 7019 1 7200 3 5 19.99 45000.00 28.72
## 7020 0 14000 3 2 11.55 45000.00 19.57
## 7021 0 7000 3 2 9.99 57000.00 39.00
## 7022 0 40000 3 1 6.07 150000.00 7.66
## 7023 0 28000 3 1 8.90 129000.00 16.85
## 7024 0 15000 3 1 7.21 94000.00 34.25
## 7025 0 32950 5 3 14.49 66000.00 22.56
## 7026 0 9600 3 3 13.98 87849.00 11.75
## 7027 1 24000 5 5 18.84 80000.00 16.63
## 7028 0 6000 3 3 12.69 65000.00 17.60
## 7029 0 16500 3 3 12.88 87545.00 26.99
## 7030 1 10200 5 4 16.55 68000.00 3.99
## 7031 0 35000 3 2 10.99 150000.00 8.42
## 7032 0 5000 3 2 13.11 75000.00 19.39
## 7033 1 14000 3 4 19.99 70000.00 17.13
## 7034 0 11850 3 4 18.24 55000.00 22.80
## 7035 0 35000 3 4 18.99 125000.00 22.22
## 7036 0 7500 3 2 10.91 32400.00 10.19
## 7037 1 25000 3 3 15.05 110000.00 15.55
## 7038 0 9600 3 1 6.62 50000.00 21.44
## 7039 1 18450 5 3 15.61 41000.00 18.50
## 7040 0 32000 5 4 18.99 75000.00 30.19
## 7041 1 24275 5 4 17.57 55968.00 20.20
## 7042 0 20000 5 2 12.49 60000.00 29.92
## 7043 0 30000 5 5 21.60 91600.00 22.49
## 7044 0 15000 3 1 7.90 58000.00 24.39
## 7045 0 27000 5 2 11.44 63767.00 16.75
## 7046 0 24000 5 3 14.33 150000.00 23.07
## 7047 0 6075 3 3 13.99 120000.00 24.23
## 7048 0 33425 5 3 15.88 75000.00 34.09
## 7049 1 17000 3 4 21.49 85000.00 9.90
## 7050 0 20000 5 4 19.92 115000.00 16.81
## 7051 0 30000 3 2 8.49 110000.00 14.05
## 7052 0 10000 3 3 11.99 65000.00 5.96
## 7053 0 10000 5 2 10.99 76000.00 6.41
## 7054 0 17500 3 2 11.44 58000.00 15.26
## 7055 0 15000 3 3 14.07 133500.00 17.97
## 7056 1 35000 5 4 18.25 106000.00 13.44
## 7057 0 9000 3 3 14.33 60000.00 19.20
## 7058 0 8675 3 3 13.99 19000.00 29.56
## 7059 0 8000 3 2 10.42 90000.00 10.49
## 7060 0 2000 3 4 16.99 54800.00 29.61
## 7061 1 32175 5 3 12.69 159000.00 22.40
## 7062 0 12000 5 3 13.99 29000.00 20.07
## 7063 0 20000 3 2 10.49 73000.00 9.72
## 7064 1 8750 3 4 16.99 55842.00 18.16
## 7065 0 12000 3 4 18.06 45000.00 18.88
## 7066 1 14525 3 3 15.31 49000.00 15.72
## 7067 1 8400 3 3 15.59 65000.00 31.20
## 7068 1 27000 5 2 8.67 85000.00 28.98
## 7069 0 8000 3 1 7.26 36000.00 20.20
## 7070 1 18825 5 6 22.95 48000.00 27.05
## 7071 0 3250 3 2 11.49 67200.00 16.93
## 7072 0 20000 3 2 9.99 65000.00 32.00
## 7073 0 15000 3 2 12.49 84000.00 14.02
## 7074 0 20000 5 3 13.99 97500.00 24.50
## 7075 0 19200 3 1 7.62 85000.00 16.45
## 7076 1 15225 5 5 20.99 30472.00 37.30
## 7077 1 9250 3 4 19.72 31000.00 16.03
## 7078 0 8000 3 3 13.65 35000.00 29.20
## 7079 0 10000 3 1 8.90 65000.00 25.53
## 7080 0 8000 3 1 7.26 43000.00 21.80
## 7081 0 40000 5 3 13.99 90000.00 28.44
## 7082 0 5000 3 4 15.61 60000.00 25.54
## 7083 1 3000 3 3 12.88 65275.00 28.31
## 7084 0 35000 3 2 9.17 250000.00 12.25
## 7085 0 15000 3 2 11.14 45000.00 12.96
## 7086 0 19250 3 2 12.49 101500.00 17.86
## 7087 0 10000 3 3 16.02 60000.00 24.84
## 7088 0 21000 5 4 16.99 83500.00 11.51
## 7089 0 13800 5 2 13.67 57000.00 14.50
## 7090 0 12000 5 4 17.56 48720.00 3.74
## 7091 1 22350 3 3 13.99 150000.00 17.55
## 7092 1 10000 3 2 10.64 70000.00 29.86
## 7093 0 10500 3 4 16.29 74000.00 29.93
## 7094 1 5000 3 3 12.74 50000.00 9.24
## 7095 0 8000 3 3 14.08 65000.00 17.98
## 7096 0 15000 3 3 14.08 85000.00 23.17
## 7097 0 24000 3 1 7.89 100000.00 17.42
## 7098 0 16000 3 1 6.99 88400.00 23.04
## 7099 0 16550 5 3 15.80 60000.00 21.16
## 7100 0 7200 3 4 18.49 49700.00 14.95
## 7101 0 29175 3 2 12.35 65214.50 27.09
## 7102 0 35000 5 3 15.99 75000.00 12.49
## 7103 0 12000 3 1 7.99 83000.00 21.78
## 7104 0 20000 3 1 5.32 169000.00 15.02
## 7105 0 3000 3 2 8.18 55000.00 28.30
## 7106 0 4800 3 3 14.64 40000.00 10.05
## 7107 0 5400 3 3 14.99 51907.00 12.18
## 7108 0 10000 3 1 7.90 45000.00 11.92
## 7109 1 35000 5 4 18.06 88000.00 1.90
## 7110 0 28000 3 1 7.89 170000.00 10.69
## 7111 1 33375 5 6 29.99 92000.00 23.23
## 7112 0 26500 5 3 17.27 60000.00 20.02
## 7113 0 28500 5 5 18.99 70000.00 29.37
## 7114 0 9600 3 2 10.42 47000.00 7.51
## 7115 0 12175 3 2 14.09 35000.00 12.31
## 7116 1 35000 5 6 26.99 85000.00 5.38
## 7117 0 8000 3 2 10.75 43000.00 29.00
## 7118 0 23350 5 6 24.99 65000.00 16.34
## 7119 1 21000 5 4 16.55 71900.00 34.66
## 7120 0 7500 3 2 12.49 72000.00 17.38
## 7121 0 20000 3 2 10.91 160000.00 13.70
## 7122 0 15400 5 2 11.53 82000.00 21.94
## 7123 0 13925 3 4 18.92 39000.00 30.43
## 7124 0 24000 3 1 8.90 90000.00 4.68
## 7125 0 7000 3 2 10.99 110000.00 13.40
## 7126 0 12000 3 2 9.17 95000.00 18.01
## 7127 1 25000 3 2 10.91 98000.00 25.70
## 7128 0 7000 3 3 14.99 82000.00 7.98
## 7129 1 6000 3 4 19.05 123026.00 19.56
## 7130 0 33000 3 4 17.86 75000.00 37.42
## 7131 0 10000 3 1 7.89 51046.42 6.70
## 7132 0 20000 5 3 14.08 90000.00 20.33
## 7133 0 2825 3 2 11.48 47000.00 8.35
## 7134 0 12750 5 2 12.49 31657.60 15.96
## 7135 0 33600 3 4 17.99 80000.00 11.91
## 7136 0 29875 3 2 9.99 143000.00 22.32
## 7137 1 12000 3 2 9.99 65000.00 23.08
## 7138 0 10375 3 3 15.10 30225.00 34.27
## 7139 0 30000 3 2 12.49 92000.00 18.24
## 7140 0 25000 3 1 6.24 200000.00 8.72
## 7141 0 5500 3 2 11.98 24650.00 10.08
## 7142 1 35000 5 2 10.42 24000.00 66.35
## 7143 0 3000 3 4 19.20 92000.00 17.31
## 7144 0 8000 3 3 16.20 75000.00 18.24
## 7145 0 10000 3 2 11.53 38000.00 9.10
## 7146 0 12000 5 3 14.99 55000.00 33.88
## 7147 0 5000 3 2 12.49 30000.00 22.48
## 7148 0 10000 3 1 7.89 90000.00 20.83
## 7149 1 14000 5 5 26.30 12500.00 7.05
## 7150 0 10000 3 1 6.49 45000.00 8.49
## 7151 0 28000 3 1 6.97 90000.00 24.79
## 7152 0 6000 3 2 10.15 45000.00 12.88
## 7153 0 27000 3 2 9.91 140000.00 7.44
## 7154 0 3600 3 2 9.93 82000.00 14.75
## 7155 0 8000 3 4 19.20 38000.00 19.45
## 7156 0 5000 3 2 11.49 28000.00 21.22
## 7157 1 12000 3 3 12.69 80000.00 21.98
## 7158 0 16000 5 2 10.99 50000.00 19.80
## 7159 0 40000 3 3 12.99 157806.00 27.67
## 7160 0 9600 3 1 7.90 31596.00 19.56
## 7161 0 14400 3 2 10.99 53000.00 30.37
## 7162 0 12000 3 2 9.17 64000.00 11.87
## 7163 0 27000 5 4 16.99 54000.00 14.62
## 7164 0 13500 3 2 9.99 122500.00 10.26
## 7165 0 18000 3 2 12.12 68000.00 22.22
## 7166 0 7625 3 4 18.49 38000.00 15.79
## 7167 0 6000 3 1 7.89 50000.00 20.04
## 7168 1 19200 3 4 18.49 85000.00 14.41
## 7169 0 10000 3 2 13.11 43000.00 27.15
## 7170 1 16000 5 4 15.61 98000.00 23.92
## 7171 0 25000 3 1 7.12 92000.00 16.21
## 7172 0 5500 3 1 7.89 86000.00 16.83
## 7173 0 24000 3 2 11.49 310000.00 16.21
## 7174 0 10000 3 2 11.53 56000.00 16.14
## 7175 0 3200 3 2 9.49 55000.00 21.25
## 7176 1 7000 3 2 9.44 26004.00 19.43
## 7177 1 5000 3 3 13.67 50000.00 28.28
## 7178 0 8500 3 2 10.49 64000.00 32.89
## 7179 0 6000 3 1 6.97 81500.00 24.59
## 7180 0 25500 3 5 19.99 87000.00 1.96
## 7181 1 12500 3 2 10.49 33280.00 12.81
## 7182 0 8000 3 2 11.53 52000.00 16.50
## 7183 0 3500 3 3 13.98 75000.00 14.46
## 7184 0 5000 3 2 11.53 90000.00 25.71
## 7185 0 4600 3 1 6.49 120000.00 12.52
## 7186 0 9000 3 4 17.86 70000.00 18.81
## 7187 0 20000 5 2 12.42 110000.00 5.09
## 7188 0 5575 3 2 12.99 74000.00 12.99
## 7189 1 14425 3 5 24.74 49000.00 32.06
## 7190 0 10000 3 2 10.99 70000.00 5.63
## 7191 1 12000 5 3 12.62 35000.00 21.15
## 7192 0 15000 3 4 16.99 55000.00 23.95
## 7193 0 7500 3 2 11.99 65000.00 30.47
## 7194 0 6000 3 2 11.22 30000.00 6.44
## 7195 0 5000 3 4 14.96 92000.00 9.89
## 7196 0 28000 3 2 12.49 143000.00 30.00
## 7197 1 18825 3 3 16.20 43000.00 24.20
## 7198 0 25000 5 3 12.29 75000.00 5.60
## 7199 1 11000 3 3 11.99 39000.00 27.38
## 7200 0 6000 3 2 11.14 75000.00 12.35
## 7201 1 20000 5 4 16.59 60000.00 20.12
## 7202 1 15000 3 4 16.99 50000.00 25.80
## 7203 0 9600 3 2 9.16 70000.00 23.64
## 7204 0 5000 3 1 6.49 55000.00 11.24
## 7205 0 16000 3 2 9.17 70000.00 6.86
## 7206 0 21000 3 1 6.49 150000.00 10.98
## 7207 0 14025 3 3 13.49 55000.00 26.10
## 7208 0 5600 5 3 15.31 44000.00 5.21
## 7209 0 10000 3 2 11.53 80000.00 10.97
## 7210 0 24000 5 2 10.42 325000.00 10.99
## 7211 0 8975 3 3 13.99 68000.00 17.86
## 7212 0 18000 3 2 8.18 99700.00 17.83
## 7213 0 20800 3 1 6.24 58532.00 20.87
## 7214 0 27000 3 2 12.85 76000.00 22.22
## 7215 0 7000 3 3 12.29 32000.00 19.77
## 7216 1 15000 3 3 13.99 52000.00 14.59
## 7217 0 24000 5 2 9.44 120000.00 12.28
## 7218 0 21000 3 2 9.17 130000.00 16.99
## 7219 0 8000 3 4 17.99 75000.00 13.20
## 7220 0 24000 5 3 13.67 55000.00 35.35
## 7221 1 25000 5 5 19.89 90000.00 39.43
## 7222 0 5700 3 1 6.99 82500.00 6.23
## 7223 0 4000 3 2 10.56 70000.00 9.33
## 7224 0 16000 5 1 7.39 60000.00 4.24
## 7225 0 20000 3 1 7.89 110000.00 9.61
## 7226 0 3000 3 2 8.39 55000.00 13.03
## 7227 1 30000 5 3 15.04 148000.00 29.28
## 7228 1 20000 3 3 12.39 95000.00 10.76
## 7229 0 24200 3 3 14.65 75000.00 20.05
## 7230 0 35000 5 5 17.99 750000.00 1.55
## 7231 0 12000 3 2 9.67 45000.00 9.47
## 7232 0 13600 3 3 13.33 52000.00 27.09
## 7233 0 10000 5 4 16.59 50000.00 10.06
## 7234 0 20000 3 2 11.67 77866.00 15.84
## 7235 1 27300 5 5 20.99 55200.00 18.73
## 7236 0 13500 5 2 10.59 61000.00 11.59
## 7237 0 11775 3 2 12.99 40000.00 28.98
## 7238 0 19200 3 1 5.32 75000.00 3.05
## 7239 0 16000 5 2 11.47 96831.00 30.93
## 7240 0 10000 3 2 9.17 80000.00 17.15
## 7241 0 4000 3 2 12.99 34000.00 10.91
## 7242 0 10550 3 3 13.33 30000.00 15.68
## 7243 0 27000 3 1 8.19 83000.00 19.16
## 7244 0 20000 3 2 11.53 110000.00 35.83
## 7245 0 10000 3 2 9.44 95000.00 22.07
## 7246 0 30000 3 1 7.89 85000.00 20.56
## 7247 0 10800 3 1 8.19 29000.00 23.05
## 7248 0 11200 3 4 16.99 30000.00 34.48
## 7249 1 15450 5 5 18.25 42000.00 30.17
## 7250 1 20000 3 2 11.44 138000.00 27.98
## 7251 0 2000 3 4 16.55 69000.00 10.54
## 7252 0 20000 3 3 15.61 110000.00 9.51
## 7253 0 20000 3 2 11.99 50000.00 25.16
## 7254 1 14400 3 4 15.61 50000.00 28.76
## 7255 1 14400 5 4 15.61 98350.00 14.95
## 7256 0 32000 5 2 9.93 100000.00 14.03
## 7257 0 10000 3 3 14.31 60000.00 27.80
## 7258 1 5000 3 3 11.99 95000.00 26.24
## 7259 0 10775 3 5 19.52 45000.00 23.25
## 7260 0 10000 3 3 12.69 45000.00 29.63
## 7261 1 8000 3 4 18.99 84000.00 20.34
## 7262 0 17000 3 1 7.62 75000.00 9.99
## 7263 0 19000 3 3 14.33 63000.00 9.83
## 7264 0 8500 3 4 18.45 64800.00 25.19
## 7265 0 20000 5 4 15.61 50000.00 16.06
## 7266 0 12000 3 2 11.44 65000.00 22.27
## 7267 0 6000 3 2 8.24 86000.00 14.32
## 7268 0 3000 3 1 8.90 71197.44 14.73
## 7269 0 20000 3 2 11.39 120000.00 13.64
## 7270 1 3025 3 2 11.71 16000.00 9.38
## 7271 0 24000 3 1 6.39 92000.00 25.79
## 7272 0 35000 5 3 14.65 90000.00 5.49
## 7273 1 35000 3 5 18.49 114500.00 4.74
## 7274 0 25000 5 3 14.65 58000.00 23.97
## 7275 1 35000 3 4 16.29 260000.00 2.56
## 7276 1 21000 5 4 18.75 100000.00 12.91
## 7277 0 18000 5 2 10.36 95000.00 15.89
## 7278 0 7800 3 3 12.99 25000.00 15.41
## 7279 0 10000 5 2 10.64 36600.00 28.93
## 7280 0 20500 3 2 11.53 101000.00 13.18
## 7281 0 15000 5 4 16.99 67305.00 27.62
## 7282 1 35000 3 3 12.59 80000.00 12.66
## 7283 0 9650 3 4 15.61 58000.00 2.81
## 7284 0 10000 3 1 6.68 30000.00 30.44
## 7285 1 18450 5 2 11.53 37000.00 19.36
## 7286 0 10000 3 1 8.39 43000.00 16.16
## 7287 0 16800 3 2 10.99 53388.00 23.33
## 7288 1 13750 3 4 15.61 149000.00 4.40
## 7289 0 9600 3 2 9.16 130000.00 5.56
## 7290 0 13000 5 1 7.89 95000.00 10.70
## 7291 0 16000 5 3 13.33 170000.00 14.88
## 7292 0 5000 3 3 12.29 74000.00 15.60
## 7293 1 15000 3 4 17.77 60000.00 13.38
## 7294 0 19000 5 4 16.99 56000.00 32.79
## 7295 0 7000 3 2 12.49 45000.00 13.60
## 7296 0 10000 5 3 14.08 27800.00 55.92
## 7297 1 25000 3 1 6.89 98000.00 26.05
## 7298 0 30000 5 5 21.00 105000.00 11.15
## 7299 0 16600 5 3 15.96 40000.00 13.17
## 7300 0 7200 3 2 11.53 98000.00 4.14
## 7301 0 11950 5 3 13.66 65000.00 3.47
## 7302 0 6600 3 2 12.99 30000.00 8.40
## 7303 0 18200 3 2 9.49 105000.00 10.94
## 7304 0 28000 5 6 23.63 70000.00 27.65
## 7305 0 10000 5 3 13.98 75000.00 18.19
## 7306 0 20000 5 5 24.49 140000.00 16.38
## 7307 1 8725 5 6 25.28 70000.00 16.94
## 7308 0 5000 3 2 9.99 38000.00 17.54
## 7309 0 15000 3 2 9.17 50000.00 18.70
## 7310 0 4000 3 2 10.56 41470.00 8.94
## 7311 0 18600 5 5 20.80 55000.00 6.15
## 7312 0 35000 5 5 26.24 80000.00 28.02
## 7313 1 10000 3 1 5.32 50000.00 18.75
## 7314 0 7800 3 3 14.49 38000.00 26.34
## 7315 0 8400 3 2 10.99 25000.00 4.08
## 7316 0 15000 5 2 11.49 50000.00 28.01
## 7317 0 23000 5 4 18.94 60000.00 21.66
## 7318 0 1600 3 3 14.99 55000.00 18.70
## 7319 1 22000 3 2 12.12 58000.00 28.35
## 7320 0 14000 3 3 12.29 150000.00 11.22
## 7321 0 30000 5 4 16.99 80000.00 11.42
## 7322 0 30000 3 2 11.39 100000.00 12.65
## 7323 0 9800 3 1 7.89 33000.00 18.40
## 7324 0 30000 3 2 10.49 185000.00 8.13
## 7325 1 10000 3 2 10.99 60000.00 26.15
## 7326 0 6000 3 3 13.33 39000.00 14.43
## 7327 0 25000 3 2 8.24 128000.00 16.82
## 7328 0 6025 3 3 12.74 52000.00 18.26
## 7329 1 8025 3 3 13.49 55000.00 20.44
## 7330 0 6000 3 3 17.27 250000.00 7.35
## 7331 1 15850 3 2 11.14 78411.00 9.50
## 7332 0 18000 5 5 21.98 120000.00 25.29
## 7333 0 3000 3 3 13.67 70000.00 13.92
## 7334 0 9000 3 1 7.39 103000.00 14.02
## 7335 0 10000 3 2 10.99 80000.00 18.62
## 7336 0 9675 3 3 13.33 22000.00 17.73
## 7337 0 35000 3 3 15.22 104000.00 21.59
## 7338 0 18000 3 3 14.49 70000.00 6.91
## 7339 0 5075 3 4 17.86 61000.00 21.58
## 7340 0 24000 3 3 11.99 77000.00 18.66
## 7341 0 9850 3 2 10.75 42000.00 24.72
## 7342 0 15000 3 1 6.99 75000.00 23.97
## 7343 0 12000 3 2 13.67 24000.00 17.05
## 7344 0 20000 3 1 6.03 143000.00 7.57
## 7345 1 16100 5 5 19.52 35000.00 30.62
## 7346 0 15000 3 1 5.32 137000.00 18.15
## 7347 0 23925 3 3 12.59 67000.00 20.65
## 7348 0 20000 5 2 9.62 82000.00 13.19
## 7349 0 14500 5 5 20.99 50648.00 0.26
## 7350 1 21400 3 4 20.00 50964.00 30.02
## 7351 0 28000 5 2 14.09 75018.00 19.23
## 7352 0 12000 3 2 9.93 45760.00 32.89
## 7353 0 35000 3 4 16.99 170000.00 21.75
## 7354 1 6000 3 2 11.47 45800.00 9.89
## 7355 0 10800 3 3 13.49 50000.00 21.22
## 7356 0 5000 3 2 8.49 60000.00 7.98
## 7357 0 14000 5 2 11.49 110000.00 18.40
## 7358 0 15000 3 2 11.99 65000.00 22.69
## 7359 0 7000 3 1 6.24 52000.00 17.77
## 7360 0 8725 3 4 18.99 47000.00 35.34
## 7361 1 13000 3 3 15.61 55000.00 24.35
## 7362 1 16000 5 3 12.62 99995.00 15.31
## 7363 0 24000 3 2 9.76 70000.00 11.25
## 7364 1 4200 3 4 17.77 100000.00 2.91
## 7365 1 2400 3 2 10.15 60000.00 13.14
## 7366 0 10000 3 3 14.64 44700.00 26.84
## 7367 0 22075 5 4 18.25 48000.00 8.08
## 7368 1 19700 3 4 17.57 58000.00 8.13
## 7369 0 15600 5 3 13.99 36000.00 14.93
## 7370 0 8000 3 3 12.29 25000.00 31.69
## 7371 0 2500 3 3 13.99 50000.00 5.95
## 7372 0 5000 3 4 17.57 60000.00 11.70
## 7373 0 2800 3 1 8.59 62400.00 9.19
## 7374 0 20000 3 1 7.91 80000.00 17.66
## 7375 0 12300 3 2 11.67 57800.00 7.94
## 7376 1 33000 5 3 15.31 170937.60 14.69
## 7377 0 14000 3 2 13.11 49000.00 29.05
## 7378 0 15000 3 2 11.67 72000.00 15.57
## 7379 1 5000 3 2 10.49 120000.00 23.32
## 7380 0 12000 3 4 19.03 124000.00 4.86
## 7381 0 8000 3 1 5.32 95000.00 11.71
## 7382 0 28000 3 2 10.99 140000.00 13.73
## 7383 1 15000 3 3 14.85 55000.00 26.10
## 7384 0 8000 3 3 15.80 39374.00 22.46
## 7385 0 16000 5 3 15.99 43000.00 6.11
## 7386 1 16800 3 2 10.75 59000.00 31.22
## 7387 0 21550 5 5 22.45 108000.00 20.18
## 7388 0 17000 3 3 15.61 54000.00 12.00
## 7389 0 25450 5 5 18.49 65000.00 34.98
## 7390 1 18000 3 3 17.27 48300.00 23.33
## 7391 0 7000 3 2 14.09 25000.00 28.61
## 7392 0 10000 3 3 13.35 50000.00 7.95
## 7393 0 27975 5 4 15.61 91000.00 30.37
## 7394 0 8000 3 2 11.55 30000.00 21.52
## 7395 0 9600 3 3 11.99 30000.00 33.48
## 7396 0 16200 5 4 20.20 57574.00 29.47
## 7397 0 10000 3 2 9.16 68000.00 1.08
## 7398 0 24000 5 5 18.39 85000.00 15.95
## 7399 1 27000 5 7 30.79 108500.00 16.82
## 7400 0 3500 3 2 9.16 30000.00 21.60
## 7401 0 4600 3 2 13.11 20000.00 34.56
## 7402 1 10000 3 2 9.99 56000.00 16.70
## 7403 0 35000 3 3 12.99 92700.00 19.91
## 7404 0 30000 3 2 8.38 120000.00 10.85
## 7405 0 7500 3 2 10.49 50000.00 20.52
## 7406 0 20000 3 1 8.90 75000.00 21.67
## 7407 0 18150 3 4 15.59 45000.00 23.25
## 7408 0 27175 3 4 18.75 94000.00 28.66
## 7409 0 17075 3 2 8.18 90000.00 31.05
## 7410 1 28000 5 4 21.49 86000.00 32.87
## 7411 0 7000 3 1 7.39 55000.00 23.24
## 7412 0 35000 3 4 18.75 123948.00 15.55
## 7413 0 15000 5 4 17.86 50000.00 15.41
## 7414 1 34000 3 3 14.49 90000.00 33.81
## 7415 0 5000 3 3 12.74 44000.00 12.15
## 7416 0 15000 5 4 16.55 30000.00 9.92
## 7417 0 6075 3 3 15.61 69000.00 16.34
## 7418 0 20000 3 2 8.18 60000.00 18.26
## 7419 0 3600 3 3 11.99 35000.00 32.54
## 7420 1 13675 3 2 12.12 62000.00 8.56
## 7421 0 4200 3 2 10.15 25000.00 10.23
## 7422 0 16000 5 5 26.30 75000.00 22.59
## 7423 0 12000 3 1 7.89 40000.00 20.58
## 7424 1 14000 5 3 13.99 65000.00 18.81
## 7425 0 4200 3 1 8.63 60000.00 19.48
## 7426 0 3500 3 3 13.59 53000.00 14.97
## 7427 0 10000 3 2 11.49 75000.00 6.86
## 7428 1 30000 5 7 25.83 139000.00 28.85
## 7429 1 35000 3 3 12.74 125000.00 11.06
## 7430 0 25000 3 1 7.49 80000.00 4.37
## 7431 0 9000 3 1 5.32 120000.00 4.27
## 7432 0 30000 3 3 15.99 88000.00 22.17
## 7433 0 9000 3 3 14.46 50003.00 22.01
## 7434 0 6000 3 3 14.33 41000.00 27.42
## 7435 0 10625 3 2 13.11 50000.00 15.84
## 7436 0 10000 3 1 7.07 59000.00 16.34
## 7437 0 20000 3 4 16.99 81120.00 21.82
## 7438 0 20000 5 3 13.67 55000.00 31.79
## 7439 0 16000 5 2 8.39 40000.00 23.49
## 7440 0 25000 5 3 15.61 107000.00 12.59
## 7441 0 7000 3 2 9.17 22000.00 15.93
## 7442 0 18000 5 2 9.99 90000.00 22.35
## 7443 0 10000 3 2 10.99 50000.00 4.80
## 7444 0 12050 5 5 20.49 45000.00 30.93
## 7445 0 4800 3 3 13.44 23920.00 12.95
## 7446 0 10075 5 3 13.99 62000.00 25.63
## 7447 0 20400 3 3 12.29 120000.00 3.03
## 7448 0 10000 3 2 8.24 48000.00 2.55
## 7449 0 5000 5 3 14.33 76000.00 10.17
## 7450 0 16000 5 2 9.49 76500.00 27.28
## 7451 0 6000 3 1 7.90 73200.00 9.85
## 7452 0 8000 3 3 12.74 49500.00 4.44
## 7453 0 15000 3 1 7.07 98000.00 19.65
## 7454 0 12000 3 2 9.67 55000.00 18.47
## 7455 1 11200 5 6 30.17 30000.00 21.72
## 7456 0 10000 5 4 18.25 50000.00 20.55
## 7457 0 1500 3 3 13.44 60000.00 15.36
## 7458 1 16000 5 4 19.53 56000.00 29.44
## 7459 0 6000 3 2 10.99 51000.00 28.94
## 7460 0 8000 3 2 12.12 88000.00 18.10
## 7461 0 10000 3 1 6.62 50000.00 28.95
## 7462 0 2000 3 4 17.57 41000.00 20.73
## 7463 0 5100 3 1 7.90 53000.00 12.63
## 7464 0 30000 5 5 24.49 323000.00 3.78
## 7465 0 30000 3 2 9.17 150000.00 15.54
## 7466 0 6950 3 4 16.49 54000.00 31.31
## 7467 0 7200 3 4 15.41 20000.00 6.84
## 7468 1 16000 3 3 13.99 70000.00 23.44
## 7469 0 5600 3 3 13.67 35000.00 35.01
## 7470 1 20000 3 5 19.99 90000.00 25.56
## 7471 0 9600 3 1 7.90 70000.00 2.50
## 7472 1 12000 3 2 11.99 98000.00 13.83
## 7473 0 20000 3 2 11.99 98000.00 22.48
## 7474 0 21600 5 4 17.97 130000.00 14.09
## 7475 0 12000 5 6 26.49 70000.00 27.62
## 7476 0 10425 3 4 17.57 29000.00 32.37
## 7477 0 17475 5 3 15.88 52000.00 20.23
## 7478 0 7000 3 1 8.59 34000.00 10.24
## 7479 1 10000 3 1 7.99 107207.00 26.21
## 7480 0 4000 3 1 7.88 95000.00 10.81
## 7481 0 15000 3 2 10.00 77368.00 6.41
## 7482 0 16000 5 7 30.99 53000.00 27.48
## 7483 0 5875 3 3 13.66 19600.00 19.47
## 7484 0 9000 3 2 11.49 39000.00 24.24
## 7485 0 4000 3 2 8.18 30000.00 11.36
## 7486 0 31450 3 3 12.62 120000.00 19.78
## 7487 1 3500 3 3 13.59 53000.00 21.60
## 7488 0 10000 3 1 7.26 89000.00 28.87
## 7489 0 8000 3 3 14.49 70000.00 19.29
## 7490 0 11000 3 2 11.47 100000.00 14.88
## 7491 0 28000 3 3 13.99 200000.00 12.64
## 7492 0 9125 3 2 11.44 120000.00 11.57
## 7493 0 18000 3 2 11.53 75000.00 19.84
## 7494 0 31500 3 1 7.12 90000.00 17.71
## 7495 1 7000 5 2 9.62 19200.00 7.40
## 7496 0 2200 3 4 17.86 30000.00 34.76
## 7497 0 25000 3 2 9.67 67368.00 16.62
## 7498 0 9000 3 2 12.12 68500.00 11.02
## 7499 0 3600 3 4 16.55 16000.00 36.98
## 7500 0 9000 3 3 13.49 45000.00 2.69
## 7501 0 13600 5 3 16.02 65000.00 21.68
## 7502 0 18000 5 3 12.99 83500.00 15.19
## 7503 0 5575 3 4 17.57 72400.00 36.72
## 7504 0 10000 5 2 10.49 65000.00 7.33
## 7505 0 10000 3 1 6.24 38000.00 15.46
## 7506 0 33300 3 3 14.99 185000.00 5.75
## 7507 0 15000 5 3 15.05 59000.00 25.28
## 7508 0 14400 3 2 11.14 68000.00 32.89
## 7509 0 6000 3 4 15.61 34000.00 33.60
## 7510 1 30375 5 5 20.99 100000.00 12.97
## 7511 0 8400 3 5 21.99 28000.00 18.47
## 7512 0 18000 3 1 5.93 120000.00 16.13
## 7513 0 3000 3 1 7.89 42000.00 21.02
## 7514 0 4200 3 1 5.32 40000.00 6.45
## 7515 0 22000 3 2 11.14 85000.00 13.23
## 7516 1 10500 3 2 8.39 71000.00 15.40
## 7517 0 32875 5 4 19.72 74000.00 20.89
## 7518 1 5000 3 3 14.99 23000.00 21.87
## 7519 0 13500 5 2 12.49 40000.00 24.59
## 7520 0 20000 3 2 9.17 60000.00 19.94
## 7521 0 5000 3 5 22.15 42000.00 18.26
## 7522 0 10000 3 2 9.76 53300.00 29.75
## 7523 0 7000 3 2 8.24 47000.00 24.74
## 7524 0 2800 3 4 17.99 16000.00 17.70
## 7525 0 17775 3 2 12.49 85000.00 16.84
## 7526 0 19200 5 4 17.27 75000.00 26.45
## 7527 0 6500 3 1 7.46 45000.00 8.64
## 7528 0 31500 3 1 7.35 125000.00 20.24
## 7529 0 14700 5 2 9.17 48000.00 23.80
## 7530 1 4150 3 4 16.99 38400.00 18.31
## 7531 0 18000 5 2 10.99 80000.00 10.92
## 7532 1 20000 3 3 12.99 90000.00 15.36
## 7533 0 18500 3 2 9.71 96000.00 15.20
## 7534 0 7000 3 3 13.33 53000.00 7.77
## 7535 0 14000 5 2 8.49 45000.00 11.61
## 7536 0 25000 3 3 13.35 92000.00 10.89
## 7537 0 20000 3 2 8.18 130000.00 25.60
## 7538 0 24000 3 2 9.16 163000.00 21.00
## 7539 0 17650 5 5 20.99 258000.00 6.89
## 7540 0 20000 3 1 6.99 60000.00 22.82
## 7541 0 15000 3 2 9.17 90000.00 8.28
## 7542 1 5000 3 2 12.99 45000.00 24.46
## 7543 1 3275 3 3 14.85 22056.00 25.46
## 7544 0 10775 3 2 10.15 30000.00 12.00
## 7545 0 17050 5 3 12.79 108200.00 20.65
## 7546 0 11700 3 1 7.90 39850.00 5.63
## 7547 0 7000 3 3 12.74 36000.00 11.03
## 7548 0 40000 3 1 5.32 200000.00 13.39
## 7549 0 25000 3 1 5.32 150000.00 8.49
## 7550 1 11400 5 4 16.99 50000.00 7.44
## 7551 0 12000 3 3 12.05 62000.00 11.01
## 7552 0 8000 3 1 5.32 50000.00 24.33
## 7553 0 10000 3 2 9.93 57800.00 18.98
## 7554 1 6000 3 1 5.32 59000.00 7.29
## 7555 0 35000 5 2 9.99 800000.00 13.09
## 7556 0 15000 3 2 9.99 50000.00 5.11
## 7557 0 6000 3 2 8.18 67000.00 15.91
## 7558 0 10000 3 3 13.49 80000.00 20.67
## 7559 0 8750 3 2 10.99 80000.00 7.05
## 7560 0 12000 5 3 13.33 115000.00 0.68
## 7561 0 15175 3 3 13.59 80000.00 21.41
## 7562 0 12600 3 2 9.67 78000.00 1.42
## 7563 1 15850 5 5 22.74 55000.00 21.63
## 7564 1 12000 3 2 11.99 70000.00 13.32
## 7565 0 16000 3 3 11.99 130000.00 1.61
## 7566 0 20000 3 2 12.12 78000.00 13.86
## 7567 0 1000 3 4 15.99 10000.00 7.32
## 7568 1 12000 3 2 10.78 35000.00 20.78
## 7569 0 10000 3 2 11.53 90000.00 14.33
## 7570 0 7000 3 1 6.92 85000.00 6.64
## 7571 0 6500 3 3 12.29 110000.00 7.45
## 7572 0 20000 3 2 11.49 82000.00 30.34
## 7573 0 10000 3 3 15.05 45000.00 9.31
## 7574 0 35000 3 3 13.33 160000.00 14.86
## 7575 0 25000 3 1 8.39 131020.00 8.44
## 7576 1 9500 3 1 7.90 34000.00 18.32
## 7577 0 10000 3 2 10.99 42000.00 6.43
## 7578 0 28000 5 2 11.67 70000.00 2.97
## 7579 0 5000 3 1 7.91 87000.00 21.39
## 7580 0 14000 3 1 5.32 45000.00 11.94
## 7581 0 2500 3 4 15.61 23000.00 21.14
## 7582 0 5200 3 3 15.80 52000.00 13.64
## 7583 1 25000 3 4 16.99 50000.00 26.02
## 7584 0 22000 5 5 18.25 70000.00 20.01
## 7585 0 15000 3 1 5.32 100000.00 16.35
## 7586 0 4000 3 2 9.44 25000.00 27.65
## 7587 0 18000 3 1 7.89 65000.00 24.15
## 7588 1 15400 3 2 10.49 51000.00 21.44
## 7589 0 10000 3 1 7.89 50000.00 20.57
## 7590 0 4800 3 2 12.49 120000.00 6.13
## 7591 0 13600 5 4 16.29 86000.00 15.84
## 7592 0 10000 3 3 15.04 22800.00 2.84
## 7593 0 10000 3 2 9.75 90000.00 12.52
## 7594 0 16000 3 4 16.55 32000.00 27.42
## 7595 0 20000 3 3 14.27 70000.00 6.21
## 7596 0 10800 3 3 12.29 56896.00 31.58
## 7597 0 10550 3 2 10.99 60000.00 17.12
## 7598 1 33600 5 6 23.83 95000.00 4.00
## 7599 0 16000 3 2 11.99 60000.00 23.96
## 7600 0 25000 5 6 23.70 75492.00 23.22
## 7601 0 6000 3 4 15.61 40000.00 25.20
## 7602 0 4000 3 2 10.91 37000.00 7.78
## 7603 1 24000 3 2 10.75 85500.00 5.88
## 7604 0 5500 3 2 11.49 22000.00 4.47
## 7605 0 1500 3 3 15.23 71000.00 19.67
## 7606 0 6000 3 3 12.69 35000.00 17.97
## 7607 0 19200 3 1 7.62 105000.00 21.77
## 7608 1 9875 3 5 19.52 22000.00 11.92
## 7609 0 22000 3 1 6.49 125000.00 10.04
## 7610 0 7200 3 2 10.75 28000.00 9.26
## 7611 0 10000 3 4 16.29 79400.00 13.60
## 7612 0 9000 3 2 10.49 39000.00 14.92
## 7613 1 30000 5 4 16.99 80000.00 34.65
## 7614 0 21000 3 1 8.08 115000.00 20.49
## 7615 0 24000 5 4 18.99 105000.00 18.05
## 7616 0 1000 3 2 10.41 30000.00 2.36
## 7617 0 15000 3 2 11.53 77000.00 8.29
## 7618 0 19475 3 5 18.84 54000.00 32.02
## 7619 1 20000 3 5 22.39 60000.00 16.44
## 7620 0 18000 5 4 16.99 75000.00 15.82
## 7621 0 15000 3 4 15.61 80000.00 12.53
## 7622 0 4800 3 3 13.99 46000.00 16.74
## 7623 0 18000 5 2 12.12 65000.00 18.00
## 7624 0 7000 3 2 9.17 85000.00 10.49
## 7625 0 18000 5 5 18.25 81000.00 15.16
## 7626 1 17000 5 6 21.99 42000.00 29.75
## 7627 0 20000 3 1 7.62 60000.00 11.02
## 7628 0 15000 3 2 9.99 40000.00 23.31
## 7629 0 10000 3 2 9.99 50000.00 11.04
## 7630 0 25850 3 2 9.75 150000.00 7.79
## 7631 0 17050 5 5 21.48 38500.00 20.54
## 7632 0 6000 3 2 10.64 55000.00 23.09
## 7633 0 25000 5 2 10.99 80000.00 22.46
## 7634 0 30000 3 1 7.97 117000.00 22.75
## 7635 0 22300 5 4 17.86 85000.00 28.03
## 7636 1 12000 5 4 15.61 35000.00 32.48
## 7637 0 35000 3 1 7.89 97000.00 27.70
## 7638 1 20000 5 4 16.55 99000.00 36.00
## 7639 0 8000 3 2 11.47 52000.00 28.76
## 7640 1 10000 3 4 17.77 59000.00 32.62
## 7641 0 21275 3 2 10.49 55000.00 25.73
## 7642 0 15000 3 1 6.89 60000.00 8.52
## 7643 0 7125 3 4 18.92 44000.00 23.19
## 7644 0 7325 3 5 25.49 35360.00 30.14
## 7645 0 10000 3 2 10.91 118980.00 24.10
## 7646 0 35000 3 3 14.99 105000.00 14.86
## 7647 0 30000 5 5 24.85 68000.00 18.60
## 7648 0 12000 5 4 17.56 48000.00 13.13
## 7649 0 2000 3 3 15.31 52000.00 6.12
## 7650 0 15000 3 3 14.65 70000.00 9.58
## 7651 0 10000 5 2 11.98 16000.00 0.90
## 7652 1 19200 5 4 17.86 75000.00 31.77
## 7653 0 3000 3 3 13.99 42000.00 21.51
## 7654 0 12500 3 3 13.06 85000.00 27.62
## 7655 0 17000 3 1 8.90 120000.00 15.29
## 7656 1 18000 5 2 10.78 60200.00 27.03
## 7657 0 22000 3 1 5.32 77000.00 18.33
## 7658 0 13000 3 1 7.35 79900.00 20.26
## 7659 0 10000 3 2 10.42 143000.00 22.95
## 7660 1 24000 5 4 17.99 145000.00 12.36
## 7661 1 14000 5 4 17.99 93500.00 33.55
## 7662 0 6000 3 1 8.19 45000.00 23.36
## 7663 0 21325 5 2 10.99 48500.00 23.73
## 7664 1 30000 3 2 9.80 109000.00 12.78
## 7665 0 10200 3 2 11.99 47000.00 23.19
## 7666 0 10000 3 2 8.18 50000.00 33.20
## 7667 0 20000 3 1 7.89 1100000.00 18.64
## 7668 1 15000 3 2 10.49 65000.00 22.49
## 7669 0 21000 5 3 13.44 85000.00 12.64
## 7670 1 5500 3 2 10.91 30000.00 26.96
## 7671 0 8000 3 2 12.49 60200.00 15.79
## 7672 0 24000 3 2 8.18 123500.00 18.04
## 7673 1 8000 3 1 7.21 100000.00 20.45
## 7674 0 5500 3 2 10.49 50000.00 16.51
## 7675 0 21850 3 3 14.49 57500.00 9.06
## 7676 1 10000 3 4 17.99 43000.00 34.44
## 7677 0 20000 5 3 12.29 49000.00 7.00
## 7678 0 10000 3 3 12.99 45000.00 23.55
## 7679 0 8000 3 2 10.99 42000.00 18.70
## 7680 1 15450 3 4 16.55 85000.00 7.47
## 7681 1 10000 3 3 14.07 62016.00 26.39
## 7682 1 12000 3 4 16.29 125000.00 6.10
## 7683 0 5000 3 4 18.55 42000.00 28.17
## 7684 1 1000 3 3 13.99 30000.00 23.32
## 7685 0 21100 3 1 7.90 60000.00 11.78
## 7686 1 16000 5 6 21.99 82500.00 27.19
## 7687 0 10000 3 2 9.17 60000.00 22.13
## 7688 0 28900 3 2 9.44 100000.00 23.08
## 7689 0 7250 3 2 12.12 40000.00 7.74
## 7690 1 10000 3 2 9.67 45000.00 29.36
## 7691 0 8000 3 1 7.89 80000.00 16.35
## 7692 0 6000 3 1 6.07 95000.00 13.37
## 7693 0 24375 5 2 10.16 250000.00 6.56
## 7694 0 12000 3 2 11.49 65000.00 6.19
## 7695 0 22400 3 2 10.99 115000.00 17.06
## 7696 0 4000 3 2 9.99 20000.00 34.10
## 7697 0 5000 3 2 11.99 25000.00 6.14
## 7698 1 28500 5 6 23.99 65000.00 27.70
## 7699 0 21000 3 3 11.99 77500.00 20.87
## 7700 0 10400 3 2 10.49 41000.00 14.49
## 7701 0 35000 3 2 11.99 80000.00 28.85
## 7702 0 5000 3 3 12.29 30000.00 15.48
## 7703 0 18000 3 1 8.59 74000.00 14.53
## 7704 1 12000 3 4 17.97 29000.00 46.15
## 7705 0 14000 3 2 10.75 80000.00 8.01
## 7706 0 20000 3 1 7.90 150000.00 1.86
## 7707 0 6000 3 3 13.66 30000.00 22.48
## 7708 0 17000 3 3 13.49 98343.00 18.61
## 7709 0 30000 5 5 23.99 150000.00 6.14
## 7710 0 9000 3 1 7.39 70725.00 8.72
## 7711 0 10000 3 4 18.75 85000.00 3.80
## 7712 1 3000 3 4 15.61 20000.00 9.96
## 7713 1 6000 3 3 14.33 58000.00 26.26
## 7714 0 18700 5 4 16.99 65000.00 30.19
## 7715 0 32000 5 4 16.55 148000.00 13.36
## 7716 0 10050 3 4 15.61 24000.00 9.00
## 7717 0 10000 3 3 12.74 63000.00 20.76
## 7718 0 15000 3 1 8.19 70000.00 15.75
## 7719 0 24000 3 2 11.99 90000.00 9.48
## 7720 0 26400 5 5 18.99 78000.00 31.08
## 7721 0 30000 3 4 16.99 95000.00 18.81
## 7722 1 5000 3 2 11.39 83304.00 9.59
## 7723 1 24850 5 5 21.00 62000.00 24.27
## 7724 0 5500 3 1 6.89 32333.00 19.45
## 7725 0 7000 3 2 10.75 32000.00 32.00
## 7726 1 4575 3 5 25.82 12768.00 23.31
## 7727 1 10000 3 2 9.58 60000.00 12.30
## 7728 0 16000 5 3 16.02 70000.00 13.00
## 7729 0 15000 3 2 9.92 68000.00 16.45
## 7730 1 27300 5 3 16.24 55000.00 10.80
## 7731 0 6700 3 2 9.16 75000.00 11.01
## 7732 0 22400 3 1 6.49 78000.00 29.38
## 7733 0 8575 3 3 14.49 30000.00 28.44
## 7734 0 12000 3 2 8.38 75000.00 18.06
## 7735 0 35000 3 2 11.67 195000.00 14.76
## 7736 0 6000 3 2 9.67 40000.00 14.97
## 7737 0 3400 3 3 14.46 25000.00 14.98
## 7738 1 18000 5 5 22.35 59508.00 32.86
## 7739 0 5000 3 2 9.93 117000.00 10.04
## 7740 0 9000 3 1 7.89 55050.00 14.86
## 7741 0 20000 3 2 8.67 147000.00 19.00
## 7742 0 10000 3 1 7.91 59369.00 19.71
## 7743 0 7500 3 3 13.59 44420.00 21.56
## 7744 0 5000 3 1 6.24 50000.00 20.33
## 7745 0 10000 3 2 11.55 50000.00 38.91
## 7746 1 6500 3 2 11.98 55000.00 20.20
## 7747 1 8000 3 3 12.74 60000.00 26.20
## 7748 0 30000 3 2 8.18 110000.00 14.37
## 7749 0 25000 3 1 6.49 60000.00 11.12
## 7750 0 4500 3 2 9.99 38305.00 11.15
## 7751 1 9000 3 5 18.99 20500.00 34.31
## 7752 0 30000 3 2 10.16 98000.00 15.43
## 7753 0 18400 5 3 14.99 40000.00 18.30
## 7754 0 6000 5 2 10.99 72000.00 13.27
## 7755 0 24950 5 4 18.99 65000.00 23.54
## 7756 0 12300 5 4 20.20 42000.00 33.14
## 7757 0 8000 3 3 16.01 30000.00 9.68
## 7758 0 6000 3 2 11.99 33000.00 27.53
## 7759 0 6000 3 2 9.17 60000.00 2.74
## 7760 0 10000 5 5 22.40 70000.00 16.74
## 7761 0 13000 3 3 13.99 50500.00 18.88
## 7762 0 20000 3 2 8.67 250000.00 5.65
## 7763 0 8950 3 2 10.99 63000.00 14.91
## 7764 0 11200 3 3 12.99 75000.00 15.26
## 7765 0 35000 5 3 15.22 95000.00 22.43
## 7766 0 11200 5 4 20.00 42000.00 16.43
## 7767 0 6000 3 1 7.26 105000.00 13.35
## 7768 0 5200 3 2 9.17 72000.00 25.38
## 7769 0 16000 5 5 21.00 72000.00 7.25
## 7770 1 33000 5 5 20.49 95000.00 14.27
## 7771 1 9250 3 4 19.97 35000.00 9.47
## 7772 1 17500 3 3 12.99 75000.00 15.50
## 7773 0 12000 5 3 14.31 57000.00 12.23
## 7774 0 32000 3 2 9.99 97350.00 20.32
## 7775 0 27500 5 2 9.17 77000.00 21.77
## 7776 0 25000 5 2 12.49 130000.00 21.76
## 7777 0 20000 5 3 15.61 80000.00 12.96
## 7778 1 8000 3 3 15.31 25000.00 26.40
## 7779 0 16000 3 1 6.49 92000.00 8.22
## 7780 0 10000 3 2 10.99 85000.00 18.83
## 7781 0 16000 3 2 9.17 62000.00 2.73
## 7782 0 7450 3 3 14.49 49000.00 27.50
## 7783 0 15850 3 1 6.92 122400.00 6.19
## 7784 0 15000 3 2 10.99 60000.00 3.44
## 7785 1 17650 3 5 21.18 60000.00 29.58
## 7786 0 4000 3 2 11.49 49000.00 6.17
## 7787 0 31500 5 4 18.92 176500.00 5.40
## 7788 1 7950 3 4 21.45 22149.00 31.98
## 7789 1 18000 5 5 21.97 55000.00 25.20
## 7790 0 24000 5 5 18.25 68400.00 13.18
## 7791 0 12800 5 2 10.49 60000.00 29.68
## 7792 0 8000 3 1 5.32 60000.00 5.42
## 7793 0 24000 3 1 7.89 100000.00 15.59
## 7794 0 21000 3 5 18.49 50000.00 29.21
## 7795 0 13000 3 2 10.99 90000.00 24.69
## 7796 0 8000 3 2 12.49 39000.00 12.80
## 7797 1 6000 3 3 13.49 42000.00 24.91
## 7798 0 10000 3 3 12.05 52000.00 12.29
## 7799 0 15000 3 1 6.03 47000.00 13.38
## 7800 1 22800 5 3 11.99 64140.00 22.00
## 7801 0 10800 3 2 12.12 48000.00 18.31
## 7802 0 8500 3 1 7.97 32968.00 19.33
## 7803 1 24000 5 4 15.41 60000.00 14.12
## 7804 1 14575 3 4 17.57 150000.00 12.58
## 7805 1 35000 3 3 15.80 80000.00 17.37
## 7806 0 11575 3 3 15.31 32000.00 34.17
## 7807 0 15000 3 4 17.09 92000.00 27.24
## 7808 0 9875 3 4 16.55 27536.16 23.10
## 7809 1 28000 5 3 14.31 91000.00 25.85
## 7810 0 2400 3 3 14.99 14600.00 24.34
## 7811 0 8500 3 1 7.49 41000.00 21.57
## 7812 1 7050 3 4 17.57 52000.00 29.98
## 7813 0 20000 5 1 6.11 110000.00 18.63
## 7814 0 8125 3 2 11.99 30012.00 19.31
## 7815 0 30000 5 2 10.59 68496.00 0.00
## 7816 0 10000 3 2 12.85 81000.00 15.70
## 7817 0 15000 5 4 16.59 53000.00 20.13
## 7818 0 21000 5 3 15.22 190000.00 6.57
## 7819 1 16000 5 2 8.18 70000.00 29.25
## 7820 0 7000 3 4 15.61 65000.00 9.38
## 7821 0 7000 3 2 11.53 50000.00 5.11
## 7822 0 23600 3 3 13.35 62400.00 23.77
## 7823 1 10000 3 2 11.44 144000.00 5.85
## 7824 0 12000 3 2 10.99 112000.00 20.14
## 7825 0 11650 3 3 13.33 44000.00 8.81
## 7826 0 21000 3 2 12.12 68000.00 0.26
## 7827 0 12000 3 1 8.90 65000.00 21.50
## 7828 0 20000 3 3 12.29 65000.00 35.51
## 7829 0 21000 3 3 14.08 60000.00 12.58
## 7830 1 18000 5 5 20.99 48000.00 32.08
## 7831 0 36000 3 2 8.24 200000.00 19.66
## 7832 0 15825 5 4 15.61 71400.00 19.04
## 7833 0 12000 5 3 14.99 48000.00 11.43
## 7834 0 14400 3 1 8.46 33000.00 60.36
## 7835 0 17075 3 4 18.25 166000.00 9.25
## 7836 0 17525 5 3 13.99 65000.00 13.15
## 7837 0 21000 3 1 6.03 132000.00 4.95
## 7838 0 12800 5 3 12.99 91000.00 12.65
## 7839 1 6000 3 3 14.49 40000.00 21.75
## 7840 0 14250 5 4 17.99 61000.00 9.27
## 7841 0 5600 3 3 12.69 65075.00 9.89
## 7842 0 16000 3 1 7.89 55000.00 16.23
## 7843 0 13000 3 3 12.99 73000.00 24.84
## 7844 0 2500 3 3 12.59 25000.00 21.32
## 7845 0 18000 3 2 11.53 75000.00 19.20
## 7846 1 9600 3 3 12.74 50000.00 16.73
## 7847 0 19200 3 1 7.89 95000.00 11.05
## 7848 0 6075 3 2 12.12 21528.00 10.08
## 7849 0 30000 5 4 17.27 62420.00 24.61
## 7850 0 30000 3 2 9.58 115000.00 19.24
## 7851 0 6800 3 3 14.65 20000.00 3.06
## 7852 0 5000 3 2 8.18 110000.00 28.83
## 7853 0 8000 3 3 12.29 80000.00 16.59
## 7854 0 10000 3 1 6.97 90000.00 20.31
## 7855 0 10000 3 2 12.85 57000.00 25.62
## 7856 0 10200 3 3 13.33 60000.00 29.62
## 7857 1 12000 3 4 18.99 80000.00 37.80
## 7858 0 11400 3 4 17.77 33586.00 13.26
## 7859 0 15000 3 2 11.47 53000.00 10.87
## 7860 0 16000 5 5 18.54 41000.00 18.09
## 7861 1 13000 5 3 15.31 31000.00 17.23
## 7862 0 19200 3 3 15.10 70000.00 32.98
## 7863 0 7500 3 2 12.49 53000.00 5.71
## 7864 0 12000 5 3 14.08 35000.00 10.25
## 7865 1 24000 5 4 17.99 60000.00 26.30
## 7866 0 15000 3 1 6.97 103000.00 13.19
## 7867 0 6025 3 3 12.69 97454.00 6.11
## 7868 0 12500 3 1 6.03 180000.00 6.33
## 7869 0 25000 3 2 10.42 130000.00 14.02
## 7870 0 9600 3 3 14.46 41000.00 35.07
## 7871 1 7800 3 4 16.99 50000.00 31.40
## 7872 0 12000 3 5 25.49 44900.00 26.73
## 7873 0 15000 3 2 10.99 52000.00 13.36
## 7874 0 18000 3 2 8.18 90000.00 8.83
## 7875 0 13500 3 3 12.79 59966.00 17.09
## 7876 0 18000 5 2 8.24 95000.00 13.37
## 7877 0 10000 5 3 12.74 80000.00 16.80
## 7878 1 35000 5 5 20.99 117000.00 21.44
## 7879 0 30000 5 5 21.98 120000.00 12.05
## 7880 0 31600 3 4 21.45 270000.00 7.46
## 7881 0 11200 3 1 7.59 54000.00 25.38
## 7882 0 5000 3 2 11.67 40000.00 11.64
## 7883 0 10000 3 1 7.89 38000.00 22.14
## 7884 1 30000 5 3 14.65 125000.00 10.60
## 7885 0 8000 3 2 11.99 56000.00 11.53
## 7886 0 3500 3 3 12.88 83200.00 1.30
## 7887 0 20000 3 2 10.99 84000.00 17.17
## 7888 1 15000 5 4 16.55 72000.00 34.80
## 7889 1 9000 3 2 10.49 165000.00 7.32
## 7890 1 24000 5 7 30.99 74800.00 24.45
## 7891 0 5000 3 4 17.57 35000.00 16.74
## 7892 1 10000 5 5 19.52 42000.00 25.11
## 7893 0 4000 3 4 18.24 81000.00 24.89
## 7894 0 10000 3 3 13.35 48000.00 12.24
## 7895 0 12575 5 5 26.24 40000.00 32.61
## 7896 0 35000 5 6 23.76 109000.00 19.96
## 7897 0 5500 3 1 5.32 83000.00 2.39
## 7898 1 3500 3 5 21.98 102000.00 20.11
## 7899 0 6500 3 6 30.49 35000.00 15.35
## 7900 0 8800 3 2 10.99 36000.00 4.77
## 7901 0 23875 3 3 13.67 75000.00 2.51
## 7902 0 9500 3 1 6.92 52500.00 12.21
## 7903 0 9500 3 2 9.17 55000.00 12.50
## 7904 0 12000 5 3 12.62 50000.00 13.42
## 7905 0 8400 3 3 12.29 54000.00 10.20
## 7906 0 12800 5 4 18.99 40000.00 27.06
## 7907 0 19850 3 6 30.75 53950.00 16.09
## 7908 1 28000 5 4 16.99 96984.00 28.38
## 7909 0 7000 3 2 9.17 90000.00 20.20
## 7910 1 6000 3 2 8.18 24681.00 19.02
## 7911 1 9600 3 2 13.53 28500.00 14.27
## 7912 0 35000 5 5 22.45 92700.00 18.14
## 7913 0 3600 3 4 17.57 39000.00 22.00
## 7914 1 8000 3 3 13.49 48808.00 25.74
## 7915 1 14000 3 6 28.69 48000.00 14.98
## 7916 0 18200 5 4 17.76 52000.00 34.50
## 7917 0 15000 3 2 11.55 85000.00 8.32
## 7918 1 35000 3 5 18.99 95000.00 20.73
## 7919 0 20125 5 5 18.25 75000.00 30.45
## 7920 0 2875 3 5 18.99 36000.00 24.02
## 7921 1 8400 3 2 10.78 67200.00 17.93
## 7922 1 1000 5 3 13.06 9600.00 22.50
## 7923 0 18000 3 1 7.26 42000.00 26.74
## 7924 0 3000 3 3 16.91 34000.00 9.46
## 7925 0 26000 5 2 10.15 90000.00 8.08
## 7926 0 35000 3 1 7.89 447095.00 12.40
## 7927 0 15000 3 2 10.91 120000.00 3.29
## 7928 0 12000 5 5 19.19 127600.00 23.87
## 7929 1 12000 3 4 20.39 40000.00 3.87
## 7930 0 5000 3 2 8.49 80000.00 19.97
## 7931 0 8725 3 3 14.08 60000.00 10.18
## 7932 1 32000 5 5 21.00 72500.00 24.53
## 7933 0 9000 3 1 7.89 42000.00 12.43
## 7934 0 20000 3 1 6.68 78500.00 22.79
## 7935 0 9600 3 2 9.76 61000.00 15.90
## 7936 0 12000 3 2 9.67 35211.00 17.87
## 7937 0 6000 3 3 15.80 80000.00 3.65
## 7938 0 16000 3 1 7.89 200000.00 7.80
## 7939 0 12000 3 3 13.33 50400.00 27.60
## 7940 1 5000 3 4 16.29 26880.00 17.01
## 7941 0 15000 5 2 10.49 45000.00 27.89
## 7942 0 20000 3 2 10.64 75000.00 11.67
## 7943 0 15000 3 2 9.17 44000.00 23.19
## 7944 0 8000 3 2 11.99 130000.00 24.98
## 7945 0 12000 3 3 13.49 85000.00 15.61
## 7946 1 27975 3 5 18.84 70000.00 18.75
## 7947 0 4000 3 1 7.49 90000.00 32.23
## 7948 0 3700 3 4 15.61 59200.00 22.70
## 7949 0 10000 3 2 13.11 60000.00 14.26
## 7950 0 8000 3 1 5.79 48000.00 0.72
## 7951 0 12000 3 2 9.49 35000.00 20.06
## 7952 0 12000 3 1 5.32 60000.00 12.64
## 7953 0 4950 3 1 7.97 45675.00 7.78
## 7954 1 20000 3 2 8.18 130000.00 8.92
## 7955 1 21000 5 6 29.69 3600.00 326.00
## 7956 0 8000 3 2 11.44 107000.00 3.62
## 7957 0 20100 3 3 12.79 64000.00 19.93
## 7958 0 11000 3 1 7.59 50000.00 6.12
## 7959 0 10000 3 2 10.08 90000.00 15.93
## 7960 0 18000 3 2 9.17 70000.00 23.81
## 7961 0 9000 3 1 7.66 50200.00 11.64
## 7962 0 9500 3 2 12.73 95000.00 21.31
## 7963 0 12500 5 3 11.99 70000.00 19.46
## 7964 1 10000 3 3 11.99 30000.00 34.28
## 7965 0 10000 3 3 12.99 140000.00 8.73
## 7966 0 20000 3 3 12.29 58000.00 31.91
## 7967 0 12000 3 2 9.75 130000.00 10.02
## 7968 0 12800 3 1 7.62 55000.00 17.87
## 7969 0 4000 3 4 17.57 36000.00 10.53
## 7970 0 13000 3 3 12.99 60000.00 20.56
## 7971 0 30000 3 1 7.89 104000.00 29.70
## 7972 0 19200 3 3 12.39 98000.00 21.78
## 7973 0 6000 3 3 17.27 60000.00 14.84
## 7974 0 24000 3 2 11.49 68000.00 18.37
## 7975 0 14000 3 2 11.39 180000.00 11.17
## 7976 0 17000 3 1 5.32 108000.00 18.56
## 7977 0 9000 3 4 16.29 25000.00 20.88
## 7978 0 8400 3 2 12.49 96248.00 17.13
## 7979 0 4500 3 2 10.99 70000.00 18.09
## 7980 0 6000 3 1 7.59 400000.00 11.66
## 7981 1 12000 5 4 16.55 36000.00 30.57
## 7982 1 8400 3 4 16.99 45688.00 21.46
## 7983 0 10000 3 4 21.45 50000.00 15.10
## 7984 0 23750 5 4 17.86 60000.00 34.04
## 7985 1 27575 5 4 19.05 62000.00 18.50
## 7986 0 20000 3 3 12.99 50000.00 21.29
## 7987 0 28000 5 5 22.40 135000.00 12.11
## 7988 0 10000 3 2 10.99 83200.00 17.29
## 7989 0 10000 3 1 7.26 37000.00 19.53
## 7990 1 28300 3 1 7.34 2400.00 138.50
## 7991 0 8000 3 1 7.62 75000.00 16.40
## 7992 0 28000 3 2 9.80 208000.00 16.05
## 7993 0 20000 3 1 7.26 90000.00 9.64
## 7994 0 4000 3 2 11.49 45000.00 17.57
## 7995 0 7500 3 2 10.51 51996.00 7.82
## 7996 0 5000 3 3 14.65 57517.00 20.78
## 7997 0 11500 3 1 7.90 43000.00 15.55
## 7998 1 16000 5 2 10.99 75000.00 18.93
## 7999 0 10000 3 3 13.59 205000.00 13.85
## 8000 0 12000 5 6 25.65 42000.00 36.37
## 8001 0 4000 3 4 18.99 60000.00 11.60
## 8002 1 15000 5 2 9.17 38000.00 25.81
## 8003 0 8500 3 3 13.49 28080.00 23.72
## 8004 1 7200 3 3 12.39 18000.00 24.60
## 8005 0 3600 3 2 11.99 29000.00 4.43
## 8006 0 7000 3 2 10.42 86000.00 11.32
## 8007 0 16000 3 4 17.77 48000.00 14.60
## 8008 0 11200 5 4 15.41 55000.00 8.90
## 8009 0 1800 3 4 15.61 96000.00 30.83
## 8010 0 5000 3 4 15.65 25380.00 7.85
## 8011 1 24000 5 3 16.02 101498.00 33.15
## 8012 0 8500 3 4 17.14 17047.00 26.41
## 8013 0 6000 3 3 13.67 23000.00 7.25
## 8014 0 3250 3 4 17.27 30000.00 10.32
## 8015 0 35000 5 2 11.99 125000.00 14.35
## 8016 0 25600 3 2 11.99 82000.00 11.93
## 8017 0 3000 3 3 13.61 60500.00 4.15
## 8018 0 25000 5 5 23.32 145000.00 23.82
## 8019 0 12500 3 1 8.39 74000.00 13.69
## 8020 0 8000 3 1 6.24 85000.00 7.61
## 8021 0 10000 3 2 10.99 75000.00 24.07
## 8022 1 10000 3 2 9.71 32000.00 29.51
## 8023 1 2500 3 3 14.99 30000.00 37.82
## 8024 0 12000 3 1 6.89 50000.00 10.14
## 8025 0 5000 3 2 10.99 153000.00 25.57
## 8026 0 25000 5 3 14.65 66000.00 29.91
## 8027 0 20000 5 2 10.99 90000.00 20.04
## 8028 0 7500 3 2 9.16 40000.00 27.60
## 8029 0 14500 3 3 13.33 65000.00 17.13
## 8030 0 5000 3 1 7.35 72000.00 10.78
## 8031 0 25000 5 7 25.89 68000.00 7.61
## 8032 1 20000 5 6 29.99 52000.00 15.44
## 8033 0 25000 3 1 7.90 134000.00 5.03
## 8034 0 20000 3 3 14.26 180000.00 0.20
## 8035 0 15000 3 3 14.99 56000.00 16.70
## 8036 1 21250 3 4 17.57 54000.00 25.42
## 8037 0 8500 3 2 11.39 35000.00 7.41
## 8038 1 11000 3 1 5.32 82000.00 11.81
## 8039 0 30000 5 6 23.63 80000.00 22.47
## 8040 1 13300 5 5 20.75 37000.00 24.59
## 8041 0 15000 3 3 13.49 54000.00 33.95
## 8042 0 10600 3 3 12.74 56190.00 15.46
## 8043 0 2500 3 2 10.99 84000.00 34.01
## 8044 0 20000 5 4 18.45 50000.00 26.86
## 8045 0 5600 3 3 12.69 120000.00 8.45
## 8046 0 25000 3 2 13.67 110000.00 11.76
## 8047 0 5500 5 2 10.74 50000.00 17.81
## 8048 0 23000 5 3 12.99 65000.00 15.45
## 8049 0 14000 3 3 14.33 38000.00 22.74
## 8050 0 13125 3 4 16.29 40000.00 17.04
## 8051 0 10000 3 2 11.99 48000.00 14.24
## 8052 0 8000 3 2 12.12 57000.00 24.06
## 8053 0 12150 3 4 15.59 80000.00 27.59
## 8054 0 9600 3 3 11.99 65000.00 6.50
## 8055 0 20000 3 1 6.11 80000.00 24.99
## 8056 0 5500 3 2 10.78 85000.00 16.08
## 8057 0 5500 3 2 11.99 115000.00 1.71
## 8058 1 2000 3 2 9.44 24000.00 1.25
## 8059 0 7500 3 2 13.53 61500.00 4.49
## 8060 0 2400 3 5 19.99 45000.00 23.15
## 8061 0 6500 3 3 14.31 46000.00 17.27
## 8062 0 24000 5 3 13.49 73500.00 24.16
## 8063 0 4225 3 4 15.99 30000.00 34.00
## 8064 1 16000 5 4 15.61 130000.00 10.20
## 8065 0 5000 3 3 15.88 60000.00 26.62
## 8066 0 10000 3 2 9.67 55000.00 21.08
## 8067 1 24675 3 5 18.25 95000.00 15.69
## 8068 0 7000 3 2 10.99 38000.00 23.66
## 8069 0 11900 3 2 13.11 82000.00 7.32
## 8070 1 15000 5 3 13.99 84000.00 9.64
## 8071 1 15000 5 2 8.18 45000.00 21.48
## 8072 0 16000 5 3 12.99 60000.00 17.68
## 8073 0 12000 3 2 8.39 85000.00 10.46
## 8074 0 6000 3 1 6.49 80000.00 5.28
## 8075 0 3000 3 2 10.15 85000.00 22.35
## 8076 0 12000 5 3 13.67 54000.00 19.62
## 8077 0 10000 3 2 10.91 38000.00 6.44
## 8078 0 11400 3 1 7.26 63000.00 10.46
## 8079 0 5600 3 3 13.98 18000.00 8.20
## 8080 1 20400 5 3 17.27 50000.00 18.98
## 8081 0 8000 3 2 11.22 55000.00 26.60
## 8082 1 12000 5 7 28.18 40000.00 26.07
## 8083 1 11000 3 3 12.88 71600.00 26.00
## 8084 0 35000 3 2 9.16 113708.00 13.68
## 8085 1 10000 3 3 14.65 35000.00 23.08
## 8086 0 28000 5 2 11.53 238000.00 10.67
## 8087 0 28000 3 3 15.10 180000.00 11.44
## 8088 0 5000 3 2 11.99 40000.00 14.01
## 8089 0 31025 3 4 15.61 260000.00 21.63
## 8090 1 14000 5 2 11.44 80000.00 27.77
## 8091 0 28000 3 1 7.89 95000.00 15.30
## 8092 1 3000 3 3 12.39 40000.00 34.17
## 8093 1 12800 3 3 13.59 80000.00 27.96
## 8094 0 20675 5 2 11.14 72000.00 33.52
## 8095 1 35000 5 4 17.57 89000.00 22.67
## 8096 0 4000 3 2 10.49 70000.00 30.76
## 8097 0 22400 5 3 14.65 98000.00 10.13
## 8098 0 26000 5 3 11.99 70000.00 31.12
## 8099 0 3500 3 2 9.17 40000.00 25.62
## 8100 0 5600 3 3 13.35 45000.00 13.47
## 8101 0 3500 3 4 15.77 90000.00 8.29
## 8102 0 10000 3 1 5.32 100000.00 26.94
## 8103 0 15000 3 2 11.39 90000.00 24.59
## 8104 1 26375 3 5 22.15 60012.00 5.82
## 8105 0 1400 3 3 16.78 59000.00 2.60
## 8106 0 35000 3 3 14.31 91000.00 26.62
## 8107 1 20000 3 1 5.32 200000.00 10.01
## 8108 1 20000 3 3 12.29 200000.00 8.14
## 8109 0 35000 3 3 14.64 120000.00 19.87
## 8110 0 28000 5 5 19.48 91500.00 15.20
## 8111 0 32500 3 2 10.75 123000.00 32.40
## 8112 0 21000 3 2 11.71 125000.00 11.53
## 8113 0 35000 5 3 14.08 112000.00 13.56
## 8114 1 13000 5 6 26.99 37000.00 32.99
## 8115 0 12000 3 2 10.75 75000.00 27.65
## 8116 0 15000 5 3 14.49 70000.00 23.62
## 8117 0 10000 3 3 12.29 50000.00 31.00
## 8118 0 6000 3 3 15.31 36000.00 32.78
## 8119 0 6000 3 4 15.61 60000.00 30.60
## 8120 0 5000 3 4 20.00 48000.00 22.73
## 8121 1 20000 5 5 18.84 48000.00 30.10
## 8122 0 40000 3 1 7.99 140000.00 21.13
## 8123 0 12000 3 2 9.99 48000.00 31.40
## 8124 0 25000 5 5 18.54 60000.00 23.40
## 8125 0 8000 3 3 12.59 60000.00 19.14
## 8126 0 12000 5 2 10.65 133000.00 5.87
## 8127 0 12000 5 4 19.97 35000.00 29.01
## 8128 0 8000 3 3 13.98 29000.00 27.81
## 8129 0 5800 3 3 12.79 70000.00 13.84
## 8130 0 10025 5 6 24.11 38000.00 23.25
## 8131 1 35000 3 2 10.42 150000.00 11.01
## 8132 1 12000 5 5 19.99 44900.00 19.89
## 8133 0 12000 3 2 9.17 85000.00 14.20
## 8134 0 24000 3 1 6.89 125000.00 5.14
## 8135 0 4000 3 3 13.33 55000.00 15.60
## 8136 0 22000 3 5 19.52 50000.00 2.69
## 8137 1 8400 3 3 14.31 50000.00 19.80
## 8138 0 35000 3 2 9.44 114625.00 19.38
## 8139 0 10000 3 1 7.39 35000.00 14.77
## 8140 0 10000 3 3 12.99 65000.00 15.42
## 8141 0 8500 3 2 10.49 42000.00 22.80
## 8142 1 28000 5 4 16.99 125000.00 7.08
## 8143 0 6400 3 3 13.33 60000.00 20.34
## 8144 0 9600 3 2 10.99 126000.00 27.70
## 8145 0 5000 3 3 12.29 150000.00 23.95
## 8146 1 5000 3 4 16.99 26000.00 26.50
## 8147 0 9400 3 2 9.17 30000.00 20.84
## 8148 0 8000 3 4 16.49 39926.00 14.07
## 8149 0 14700 5 4 18.85 50000.00 16.94
## 8150 0 5000 3 2 9.17 41000.00 11.56
## 8151 0 6000 3 1 7.69 90000.00 17.81
## 8152 0 5000 3 6 24.08 70000.00 17.69
## 8153 0 14000 3 2 11.67 54000.00 20.33
## 8154 1 10800 5 6 21.99 52500.00 26.17
## 8155 0 17000 3 3 14.99 62400.00 4.15
## 8156 0 24000 3 1 5.93 150000.00 9.37
## 8157 0 15550 3 3 12.74 61111.00 19.50
## 8158 0 28000 5 3 12.29 85000.00 7.74
## 8159 0 8000 3 3 12.99 85000.00 22.34
## 8160 0 2500 3 4 17.99 31000.00 11.92
## 8161 1 4800 3 5 24.85 75000.00 23.76
## 8162 0 30000 3 2 11.47 140000.00 19.28
## 8163 1 30575 3 3 13.33 177599.00 16.56
## 8164 0 11000 3 2 9.17 52000.00 10.09
## 8165 0 5000 3 3 12.69 50000.00 9.67
## 8166 0 2000 3 2 11.39 57000.00 17.47
## 8167 0 7000 3 2 10.42 28000.00 31.16
## 8168 0 35000 3 2 10.15 215000.00 25.51
## 8169 1 12000 3 2 8.99 75000.00 16.01
## 8170 0 16000 3 3 13.33 135000.00 20.30
## 8171 1 19200 5 3 13.33 86000.00 6.49
## 8172 0 29850 3 2 11.99 65000.00 28.31
## 8173 0 30000 5 4 18.06 200000.00 11.91
## 8174 1 15000 5 4 17.97 88915.00 33.26
## 8175 0 21000 3 3 13.33 120000.00 16.63
## 8176 0 35000 3 2 10.99 222000.00 26.28
## 8177 0 15000 3 2 11.14 51000.00 15.72
## 8178 0 30000 5 4 17.99 93500.00 26.54
## 8179 0 2500 3 1 7.97 81000.00 11.01
## 8180 0 35000 3 2 12.49 80000.00 13.94
## 8181 0 21000 3 1 8.90 105000.00 31.27
## 8182 0 1000 3 4 17.09 60000.00 21.88
## 8183 0 9000 3 2 9.17 45000.00 15.44
## 8184 0 9000 3 2 11.14 95000.00 14.34
## 8185 0 15000 3 3 13.56 167000.00 8.09
## 8186 0 14000 3 2 10.15 125000.00 11.54
## 8187 0 10000 3 3 15.99 62500.00 19.05
## 8188 0 10875 3 3 14.99 34600.00 15.78
## 8189 0 5100 3 3 15.61 45000.00 4.08
## 8190 0 10000 3 3 13.99 48000.00 18.98
## 8191 0 16000 3 2 9.99 80000.00 18.95
## 8192 0 5000 3 4 18.99 82000.00 44.80
## 8193 1 18000 5 6 25.57 36000.00 25.20
## 8194 0 6000 3 2 8.18 97000.00 12.26
## 8195 0 7500 3 1 5.32 98000.00 15.98
## 8196 0 6500 3 1 6.49 85000.00 10.83
## 8197 0 24000 5 3 12.99 95000.00 12.76
## 8198 0 2000 3 3 16.46 60000.00 8.56
## 8199 0 6000 3 2 14.09 110000.00 25.37
## 8200 0 5000 3 2 10.47 25000.00 14.11
## 8201 0 10400 3 2 10.99 47000.00 17.19
## 8202 0 12000 3 2 9.99 38397.00 20.91
## 8203 0 6400 3 3 15.59 80000.00 19.58
## 8204 0 20000 3 2 11.55 62000.00 17.67
## 8205 0 9000 3 3 13.99 42000.00 22.26
## 8206 0 11200 3 2 10.36 72000.00 18.45
## 8207 0 5000 3 1 5.32 155000.00 7.66
## 8208 0 15000 3 2 9.71 76500.00 18.63
## 8209 0 3725 3 3 13.99 45000.00 8.57
## 8210 0 18000 3 1 6.97 250000.00 6.33
## 8211 0 10000 3 4 16.99 36000.00 22.43
## 8212 0 16000 5 3 12.74 90000.00 20.60
## 8213 0 8400 3 3 14.65 45000.00 33.49
## 8214 0 13000 5 4 17.97 60000.00 13.46
## 8215 0 20000 3 2 9.99 84000.00 28.83
## 8216 0 6000 3 2 9.75 42000.00 14.06
## 8217 0 15000 3 1 7.26 60000.00 15.56
## 8218 1 35000 5 2 10.42 70000.00 23.22
## 8219 0 24000 3 1 5.32 70000.00 25.39
## 8220 0 40000 3 2 10.49 246200.00 12.50
## 8221 1 6000 3 3 14.65 22000.00 30.04
## 8222 0 7800 3 2 9.67 36000.00 25.30
## 8223 1 32750 5 7 30.84 92000.00 34.89
## 8224 0 16000 3 3 13.33 65000.00 25.52
## 8225 0 4000 3 5 19.24 24000.00 25.10
## 8226 0 16000 3 2 11.44 164000.00 2.72
## 8227 0 8000 3 1 5.99 39996.00 26.34
## 8228 0 12000 3 3 13.99 55000.00 19.53
## 8229 1 21525 5 5 19.24 47000.00 38.37
## 8230 1 12000 5 4 16.59 38000.00 15.82
## 8231 0 10000 5 3 14.64 100000.00 22.88
## 8232 0 25000 3 1 5.32 145000.00 14.91
## 8233 0 25000 3 2 10.49 80000.00 15.29
## 8234 0 7000 3 1 7.89 23239.00 30.06
## 8235 0 6000 3 4 18.99 26000.00 23.83
## 8236 1 9000 3 2 9.17 145000.00 16.89
## 8237 0 10425 3 2 9.92 60000.00 26.96
## 8238 0 7500 3 2 9.76 35000.00 15.98
## 8239 0 4400 3 5 18.25 40000.00 19.47
## 8240 0 24000 3 1 6.99 110000.00 24.96
## 8241 0 25000 3 2 9.80 100000.00 8.10
## 8242 0 30000 3 3 16.02 55000.00 17.61
## 8243 0 9500 3 2 9.88 50000.00 13.70
## 8244 0 8000 3 3 12.29 37440.00 14.46
## 8245 0 35000 3 1 8.39 93000.00 25.10
## 8246 0 16800 5 4 17.09 47600.00 14.22
## 8247 0 15000 3 2 9.99 44000.00 25.01
## 8248 0 20000 3 2 8.39 132000.00 24.60
## 8249 0 15600 3 3 12.69 50000.00 35.02
## 8250 0 9925 3 3 15.31 33532.00 34.50
## 8251 0 9500 3 2 9.67 44000.00 19.23
## 8252 0 10000 3 1 7.99 60000.00 30.46
## 8253 0 4200 3 1 7.62 25000.00 18.29
## 8254 1 20000 5 2 11.67 65000.00 32.81
## 8255 0 12875 3 2 11.71 85000.00 19.65
## 8256 0 4600 3 3 15.31 31678.00 22.70
## 8257 0 1000 3 5 21.15 22000.00 10.36
## 8258 0 5000 3 3 12.69 25168.00 5.25
## 8259 1 17225 3 1 8.90 77000.00 14.12
## 8260 0 40000 5 3 15.49 175000.00 10.00
## 8261 0 20000 3 2 8.88 234000.00 11.91
## 8262 0 30000 3 2 10.99 100000.00 22.73
## 8263 0 25000 3 3 13.49 85000.00 7.79
## 8264 0 20000 3 1 7.89 80000.00 8.97
## 8265 0 5000 3 2 11.99 65000.00 11.65
## 8266 0 35000 3 2 9.75 150000.00 6.66
## 8267 0 17000 3 2 10.99 62000.00 12.95
## 8268 0 12000 3 2 11.49 106000.00 17.53
## 8269 0 17500 5 3 13.67 35000.00 12.28
## 8270 0 18000 3 2 8.99 70000.00 14.85
## 8271 0 2000 3 4 19.22 16000.00 7.35
## 8272 1 20000 5 3 15.99 104000.00 6.75
## 8273 0 9600 3 3 12.69 76000.00 10.33
## 8274 0 13000 3 2 8.18 130000.00 3.70
## 8275 0 10000 3 1 7.21 47000.00 17.08
## 8276 0 10000 3 3 16.29 37200.00 5.71
## 8277 0 12000 5 3 12.99 50000.00 17.95
## 8278 1 8000 3 4 17.77 75000.00 18.62
## 8279 0 26775 5 4 18.24 70500.00 19.64
## 8280 0 27000 5 3 12.99 81000.00 13.70
## 8281 1 10000 5 3 12.99 59712.00 13.14
## 8282 0 5000 3 3 14.65 65000.00 30.52
## 8283 0 35000 5 5 18.99 156000.00 17.73
## 8284 0 6400 3 1 5.32 44000.00 22.07
## 8285 0 14400 5 5 19.52 48000.00 35.90
## 8286 1 16800 3 3 15.99 62000.00 21.43
## 8287 0 10000 3 1 5.32 75000.00 16.74
## 8288 0 21600 3 1 6.99 138000.00 14.81
## 8289 0 20000 3 2 8.18 60000.00 23.04
## 8290 0 21000 3 3 12.99 75000.00 5.68
## 8291 0 20150 3 4 15.61 80000.00 26.84
## 8292 1 10000 3 3 13.59 40000.00 6.36
## 8293 0 18000 3 1 8.90 115000.00 1.57
## 8294 0 15000 3 2 11.55 80000.00 23.80
## 8295 1 35000 3 3 13.66 300000.00 10.83
## 8296 0 6000 3 2 13.11 63000.00 8.13
## 8297 0 5600 3 2 12.35 48000.00 5.88
## 8298 0 7000 3 1 5.32 63000.00 8.29
## 8299 0 7000 3 3 17.27 54000.00 13.98
## 8300 0 7200 5 2 9.99 52000.00 24.14
## 8301 0 16975 3 3 13.98 50000.00 26.84
## 8302 0 14000 3 1 7.62 90000.00 4.01
## 8303 0 24000 3 2 9.99 125000.00 2.83
## 8304 0 30000 5 3 13.49 95000.00 17.81
## 8305 0 5300 3 3 17.27 23000.00 11.48
## 8306 0 8125 3 4 18.99 58000.00 26.07
## 8307 0 6200 3 1 7.62 41000.00 8.46
## 8308 1 18000 5 3 13.33 130000.00 32.09
## 8309 0 5000 3 2 10.64 100000.00 31.15
## 8310 0 8000 3 2 8.24 150000.00 21.20
## 8311 0 25850 5 4 18.24 59000.00 12.35
## 8312 0 6000 3 3 13.33 18500.00 19.99
## 8313 0 10000 3 2 13.53 58000.00 26.53
## 8314 0 12000 3 2 10.47 60000.00 31.98
## 8315 0 3800 3 2 9.93 62000.00 2.50
## 8316 0 6000 3 3 13.33 45000.00 24.72
## 8317 0 12500 3 1 8.90 70000.00 20.82
## 8318 0 8000 3 3 13.33 32000.00 14.67
## 8319 0 16800 3 2 11.99 50000.00 16.23
## 8320 0 2000 3 3 13.67 51000.00 5.34
## 8321 0 4000 3 2 10.49 55000.00 24.29
## 8322 0 6000 3 2 8.39 125000.00 11.18
## 8323 0 6000 3 3 13.33 40000.00 31.74
## 8324 1 24000 5 3 12.62 70000.00 23.98
## 8325 1 31300 5 4 19.97 75000.00 10.62
## 8326 1 16000 3 3 14.07 48500.00 27.64
## 8327 1 2800 3 3 13.99 44000.00 31.23
## 8328 0 4375 3 4 16.49 80000.00 9.99
## 8329 0 8500 3 1 6.49 40000.00 15.09
## 8330 0 30000 3 1 6.99 123970.00 9.15
## 8331 1 14500 3 4 18.99 62172.00 30.19
## 8332 0 14850 5 4 18.99 40000.00 24.21
## 8333 0 9600 3 2 10.75 120000.00 27.89
## 8334 0 15000 3 2 9.16 60000.00 17.84
## 8335 1 20350 5 3 15.88 77000.00 22.61
## 8336 0 19275 3 2 9.99 92000.00 16.35
## 8337 0 3000 3 1 7.89 53000.00 9.19
## 8338 0 12000 3 2 9.80 40000.00 15.39
## 8339 0 6800 3 1 6.72 65000.00 9.62
## 8340 1 20125 5 5 21.60 57000.00 29.22
## 8341 0 31200 5 4 15.61 80000.00 22.77
## 8342 1 14400 5 2 11.53 80000.00 8.97
## 8343 0 8800 3 4 17.57 22000.00 34.37
## 8344 0 12000 5 5 18.84 80000.00 15.90
## 8345 0 15000 3 2 12.35 45000.00 15.04
## 8346 0 12000 3 1 7.89 101000.00 11.96
## 8347 1 6000 3 3 12.74 39000.00 19.48
## 8348 0 11000 3 3 13.66 87039.00 14.56
## 8349 0 22000 5 5 20.20 82000.00 20.50
## 8350 0 4750 3 2 10.38 24000.00 24.85
## 8351 0 24000 3 3 13.44 68000.00 12.97
## 8352 0 4000 3 1 6.03 60000.00 10.42
## 8353 0 10000 3 3 13.99 72000.00 8.78
## 8354 0 18000 3 2 8.67 70000.00 23.54
## 8355 1 8000 3 3 12.69 60000.00 12.86
## 8356 0 13000 5 1 7.69 70000.00 16.18
## 8357 0 24000 3 3 13.99 125000.00 14.17
## 8358 0 10000 3 1 6.99 80000.00 21.78
## 8359 1 16000 5 6 26.49 115000.00 26.44
## 8360 0 6000 3 2 12.12 56000.00 20.96
## 8361 0 19200 3 1 7.90 80000.00 25.83
## 8362 0 6500 3 3 13.35 57000.00 8.29
## 8363 1 26125 5 7 28.34 90001.00 24.07
## 8364 0 10100 3 2 10.15 47000.00 18.59
## 8365 0 20000 3 1 6.03 105000.00 7.60
## 8366 0 35000 5 5 21.00 158544.00 18.80
## 8367 0 12100 3 4 17.86 31902.00 27.54
## 8368 0 4500 3 2 11.47 35000.00 17.56
## 8369 0 10000 5 2 10.99 45000.00 19.25
## 8370 0 11500 3 2 11.67 40000.00 21.99
## 8371 0 16800 3 1 6.49 53000.00 20.04
## 8372 0 5000 3 3 12.29 40000.00 30.06
## 8373 0 3000 3 3 15.05 43000.00 26.26
## 8374 0 10000 3 1 6.89 52000.00 1.86
## 8375 0 9425 3 3 16.02 24000.00 2.50
## 8376 1 27200 3 3 16.02 133000.00 24.84
## 8377 0 12000 3 3 13.99 35000.00 26.65
## 8378 0 13475 3 2 10.15 30000.00 10.28
## 8379 0 10525 3 3 13.35 80000.00 4.47
## 8380 0 16750 3 3 15.31 44000.00 11.13
## 8381 0 18000 3 5 22.74 50627.00 23.85
## 8382 0 14000 5 3 12.69 46000.00 32.74
## 8383 0 3000 3 1 7.49 8472.00 0.00
## 8384 0 5500 3 3 14.08 47000.00 23.83
## 8385 0 11400 3 3 13.44 30000.00 22.08
## 8386 0 29700 3 1 6.49 118000.00 19.02
## 8387 0 5600 3 1 6.99 30000.00 10.52
## 8388 0 40000 5 2 10.42 195000.00 17.19
## 8389 0 24000 5 3 14.99 76007.87 11.46
## 8390 0 8000 3 3 15.61 25000.00 29.09
## 8391 0 5500 3 2 8.39 130000.00 6.22
## 8392 0 6500 3 1 8.90 30800.00 25.44
## 8393 0 3875 3 3 15.31 30000.00 4.40
## 8394 0 4000 3 3 15.31 63000.00 17.09
## 8395 0 5000 3 2 11.48 21600.00 7.22
## 8396 0 24000 3 4 17.27 65000.00 26.12
## 8397 0 15000 3 2 9.17 53000.00 22.54
## 8398 0 2000 3 3 11.99 55000.00 28.34
## 8399 0 28000 3 1 7.49 120000.00 16.84
## 8400 1 14000 3 5 20.99 45000.00 8.04
## 8401 0 11250 5 5 23.40 40000.00 31.50
## 8402 0 10800 3 2 11.53 35000.00 20.85
## 8403 1 19200 5 3 12.79 51820.00 17.02
## 8404 0 8000 3 1 5.32 55000.00 10.32
## 8405 0 7800 3 4 15.61 60000.00 21.60
## 8406 0 12000 3 2 11.48 45000.00 7.63
## 8407 1 25000 3 3 13.33 136000.00 18.79
## 8408 0 4000 3 3 11.99 62000.00 17.31
## 8409 0 8000 3 1 7.89 60000.00 16.96
## 8410 1 25000 3 1 6.49 280000.00 11.72
## 8411 1 28000 3 3 13.59 39270.24 15.04
## 8412 0 20900 5 5 25.49 55000.00 20.92
## 8413 0 26000 3 1 6.24 75000.00 6.77
## 8414 0 12000 3 1 7.26 51000.00 25.84
## 8415 0 4000 3 2 10.99 91000.00 17.76
## 8416 0 24350 5 4 15.61 70000.00 26.09
## 8417 0 24000 5 4 21.49 67852.00 21.70
## 8418 0 35000 5 5 20.75 105500.00 23.08
## 8419 0 21000 3 1 7.89 149000.00 11.38
## 8420 0 35000 5 3 14.31 125000.00 5.08
## 8421 0 15000 3 1 7.90 53665.00 24.53
## 8422 0 15000 3 3 13.66 50000.00 27.08
## 8423 1 3000 3 3 14.49 45000.00 27.41
## 8424 0 6000 3 2 9.17 32000.00 21.72
## 8425 0 31300 5 5 21.98 70000.00 19.71
## 8426 0 12000 3 1 6.92 94000.00 14.44
## 8427 1 15000 5 5 19.99 40000.00 25.32
## 8428 1 32000 3 3 13.99 100000.00 15.10
## 8429 0 6500 3 2 11.99 43000.00 13.76
## 8430 0 15000 5 3 13.49 70000.00 20.76
## 8431 0 11975 3 4 16.99 30000.00 33.04
## 8432 0 28000 3 1 8.39 85000.00 31.36
## 8433 0 3000 3 4 19.72 21408.00 8.86
## 8434 0 24000 3 2 11.49 134000.00 6.99
## 8435 0 15000 5 2 10.99 96000.00 15.54
## 8436 0 12725 3 4 18.24 48000.00 27.10
## 8437 0 16000 3 4 18.25 65000.00 25.48
## 8438 1 7475 3 4 17.99 19700.00 27.24
## 8439 0 3500 3 4 15.61 12000.00 12.30
## 8440 0 14000 3 2 9.44 65000.00 25.52
## 8441 0 16000 5 4 18.49 55000.00 24.02
## 8442 0 24400 3 1 6.24 220000.00 9.09
## 8443 0 30000 5 2 12.85 99000.00 25.65
## 8444 0 30000 3 1 7.90 98167.00 20.84
## 8445 0 9000 3 1 5.32 58000.00 10.39
## 8446 0 16000 3 2 11.05 53560.00 16.25
## 8447 0 10000 3 3 13.35 64000.00 19.18
## 8448 1 17500 3 2 11.53 78250.00 33.62
## 8449 1 4000 3 3 14.99 50000.00 26.40
## 8450 1 1500 3 1 6.03 69624.00 4.54
## 8451 0 20000 3 3 13.67 86000.00 32.40
## 8452 0 21000 3 3 12.99 125000.00 28.86
## 8453 0 3500 3 3 14.99 56000.00 10.35
## 8454 0 4000 3 2 11.99 53000.00 5.16
## 8455 0 20000 3 2 10.99 80000.00 15.69
## 8456 0 20000 5 4 17.57 60000.00 23.38
## 8457 1 11000 3 6 23.13 41488.99 20.40
## 8458 0 14000 3 3 13.35 55000.00 13.22
## 8459 1 22500 5 5 19.19 45000.00 26.37
## 8460 0 24000 5 2 11.53 61000.00 25.75
## 8461 0 35000 3 1 7.89 150000.00 12.10
## 8462 0 20000 3 1 7.35 120000.00 7.75
## 8463 0 18600 5 5 21.67 78800.00 25.16
## 8464 0 12000 3 2 9.67 75000.00 10.31
## 8465 0 9600 3 4 19.99 30000.00 27.12
## 8466 0 40000 5 4 19.99 160000.00 16.13
## 8467 0 2500 3 3 12.74 72000.00 21.92
## 8468 0 11350 3 3 13.99 75000.00 9.07
## 8469 0 16000 5 3 13.66 52000.00 37.47
## 8470 0 2800 3 1 7.62 65000.00 5.32
## 8471 0 16525 5 4 17.76 52690.00 28.31
## 8472 1 24000 3 4 17.57 75000.00 10.96
## 8473 0 5000 3 1 5.32 250000.00 23.23
## 8474 0 11000 3 2 10.91 63000.00 8.04
## 8475 0 3750 3 3 12.74 54000.00 23.91
## 8476 1 12000 3 1 7.89 93000.00 10.14
## 8477 0 15500 3 1 8.90 85000.00 5.66
## 8478 0 40000 3 1 6.72 90000.00 6.33
## 8479 0 35000 3 2 9.16 329844.00 15.68
## 8480 0 18200 3 1 7.26 85000.00 24.61
## 8481 0 3600 3 2 9.99 80000.00 17.26
## 8482 0 10050 3 3 13.67 45000.00 20.59
## 8483 0 16000 3 2 11.53 60000.00 15.90
## 8484 0 8000 3 2 11.47 44616.00 31.88
## 8485 0 16000 5 3 12.99 62150.40 26.07
## 8486 0 20400 3 2 11.53 91748.00 9.23
## 8487 0 15600 5 3 14.98 53600.00 6.96
## 8488 0 12000 3 3 14.52 41000.00 25.23
## 8489 1 17475 3 3 14.33 40000.00 27.17
## 8490 0 7200 3 2 10.99 63800.00 19.98
## 8491 1 4000 3 4 19.99 13000.00 33.70
## 8492 1 5000 3 3 12.74 50000.00 7.70
## 8493 1 14000 5 3 13.18 68900.00 21.96
## 8494 0 40000 5 2 11.99 120000.00 30.72
## 8495 0 15000 5 3 12.69 75000.00 11.66
## 8496 0 19200 5 2 9.75 90000.00 19.48
## 8497 0 9950 3 2 10.64 88000.00 12.55
## 8498 0 8000 3 3 12.69 50920.00 12.04
## 8499 0 15000 3 1 5.32 141000.00 9.06
## 8500 0 6400 3 5 23.88 140500.00 24.05
## 8501 0 22000 5 2 9.99 111000.00 12.39
## 8502 1 16500 5 5 21.49 48218.00 28.69
## 8503 1 18000 5 2 10.75 67094.00 18.40
## 8504 0 18000 3 2 10.75 50003.00 20.86
## 8505 0 4200 3 1 7.34 95000.00 6.62
## 8506 0 15000 3 2 10.41 87000.00 7.70
## 8507 0 13500 3 3 15.05 40000.00 5.62
## 8508 0 11200 5 3 13.99 87000.00 14.69
## 8509 0 23000 3 6 25.57 68000.00 23.76
## 8510 0 36000 3 2 9.44 220000.00 5.83
## 8511 0 9000 3 2 14.09 52000.00 16.66
## 8512 0 3000 3 4 20.39 126000.00 25.42
## 8513 1 16250 5 3 12.99 71822.40 11.14
## 8514 0 15000 3 3 13.33 100000.00 8.87
## 8515 0 12400 5 4 17.57 47000.00 27.73
## 8516 0 35000 3 2 12.49 176275.00 10.57
## 8517 0 4800 3 3 13.98 32000.00 19.99
## 8518 0 24000 3 4 19.52 100000.00 14.57
## 8519 0 14000 5 2 9.44 122000.00 15.11
## 8520 1 11500 3 2 9.93 35300.00 23.67
## 8521 1 20000 3 1 5.32 58000.00 24.44
## 8522 0 20000 5 4 19.05 60000.00 25.00
## 8523 0 19200 3 2 8.18 62000.00 10.98
## 8524 0 8000 3 3 12.74 60000.00 14.50
## 8525 0 19800 5 4 20.00 45000.00 29.49
## 8526 1 4000 3 2 14.09 55000.00 16.89
## 8527 0 24000 5 3 12.05 125000.00 16.63
## 8528 1 26375 5 5 24.99 80000.00 15.08
## 8529 0 21000 5 3 13.67 64000.00 27.24
## 8530 0 12000 3 2 11.99 50000.00 24.46
## 8531 1 29925 3 3 15.99 104000.00 28.01
## 8532 0 27000 3 3 13.33 101000.00 13.91
## 8533 0 12000 3 2 9.75 55000.00 23.26
## 8534 0 9900 3 2 9.67 97000.00 7.93
## 8535 0 9000 3 1 5.32 200000.00 7.22
## 8536 0 20000 3 4 17.99 95000.00 14.58
## 8537 0 7000 3 4 17.27 56874.00 45.35
## 8538 0 20000 3 1 5.32 150000.00 15.82
## 8539 0 6000 3 3 15.99 30000.00 53.88
## 8540 0 21000 5 2 11.99 115000.00 12.33
## 8541 0 20000 5 4 19.97 66000.00 22.67
## 8542 0 6000 3 3 14.33 41000.00 17.15
## 8543 0 8000 3 1 6.49 83000.00 2.62
## 8544 0 20000 5 3 12.39 90000.00 24.99
## 8545 0 10000 3 1 5.32 50000.00 19.64
## 8546 0 11300 3 2 8.39 62000.00 20.52
## 8547 0 10000 3 1 7.26 38000.00 22.99
## 8548 0 8000 3 1 6.99 70000.00 9.19
## 8549 0 5000 3 1 7.46 66000.00 25.27
## 8550 0 21750 3 1 8.90 160000.00 6.98
## 8551 0 10000 3 6 23.43 50000.00 24.65
## 8552 0 35000 3 4 15.61 92500.00 21.60
## 8553 0 10000 5 2 10.99 74962.00 12.02
## 8554 0 15000 3 3 14.17 80000.00 8.46
## 8555 0 1600 3 4 18.49 62000.00 17.65
## 8556 0 16000 5 2 10.42 80000.00 18.29
## 8557 0 16000 5 4 15.59 68000.00 13.55
## 8558 0 6000 3 2 11.14 47000.00 16.88
## 8559 0 24000 5 3 13.59 56000.00 19.65
## 8560 0 8875 3 1 5.32 51000.00 8.61
## 8561 0 15000 3 1 6.92 120000.00 7.48
## 8562 0 7000 3 2 11.53 80000.00 29.57
## 8563 0 3000 3 1 8.19 55000.00 12.52
## 8564 0 12250 3 4 16.29 72500.00 19.55
## 8565 0 10000 3 1 7.49 81000.00 14.44
## 8566 1 5600 3 3 12.69 42500.00 16.01
## 8567 0 4500 3 2 9.76 36400.00 13.65
## 8568 0 14000 5 2 12.99 80000.00 9.77
## 8569 1 15000 3 3 14.65 88000.00 17.86
## 8570 0 10200 5 3 13.18 110000.00 16.06
## 8571 0 10600 5 6 23.43 39000.00 22.40
## 8572 0 35000 3 4 15.61 83000.00 18.81
## 8573 0 12000 5 3 12.05 57500.00 10.14
## 8574 0 28000 3 2 10.49 1200000.00 1.20
## 8575 0 6000 3 1 6.24 51000.00 29.57
## 8576 0 10800 5 4 21.49 33000.00 21.80
## 8577 0 15000 3 4 18.99 30000.00 24.52
## 8578 0 19200 3 2 8.24 55000.00 25.77
## 8579 0 20000 3 5 20.49 65000.00 15.91
## 8580 0 11650 3 1 6.24 98000.00 14.52
## 8581 0 8400 3 1 7.24 60000.00 23.22
## 8582 0 30000 3 4 18.99 65000.00 22.88
## 8583 1 30000 5 2 10.42 40000.00 17.73
## 8584 0 15000 3 2 9.17 111000.00 11.17
## 8585 0 35000 3 5 19.03 132500.00 17.19
## 8586 0 12000 3 2 10.75 52000.00 16.48
## 8587 0 23450 3 3 13.99 51000.00 28.19
## 8588 0 5600 3 2 10.37 57995.00 10.76
## 8589 0 23325 5 3 15.88 80000.00 21.27
## 8590 0 1950 3 2 10.16 36000.00 17.30
## 8591 0 7550 3 3 12.74 55241.00 14.01
## 8592 1 10200 5 3 13.98 37000.00 3.32
## 8593 0 14000 5 2 10.75 42000.00 31.74
## 8594 0 4000 3 3 15.99 36700.00 12.75
## 8595 0 22000 3 2 9.44 123600.00 9.84
## 8596 0 11000 3 3 12.29 35000.00 19.27
## 8597 0 21000 3 2 11.49 153000.00 15.09
## 8598 0 12000 3 1 7.39 54000.00 23.29
## 8599 0 6400 3 2 9.49 70000.00 1.03
## 8600 0 7500 3 2 8.49 75000.00 21.10
## 8601 0 14400 3 1 6.99 65000.00 5.28
## 8602 0 15000 5 2 10.36 67000.00 24.62
## 8603 0 6000 3 3 13.65 80000.00 6.48
## 8604 0 35000 5 5 22.15 96720.00 30.16
## 8605 0 12000 5 4 18.25 46000.00 16.38
## 8606 1 8000 3 1 7.99 52000.00 19.99
## 8607 1 10000 3 3 13.59 33000.00 10.04
## 8608 0 22000 5 3 13.33 82979.00 24.15
## 8609 0 14400 3 2 11.99 48500.00 10.13
## 8610 1 8000 3 1 7.49 55000.00 5.98
## 8611 0 10000 3 1 7.69 65000.00 28.25
## 8612 0 10000 3 2 8.99 40000.00 19.74
## 8613 0 28000 3 1 7.89 78000.00 21.98
## 8614 0 10000 3 2 10.99 52000.00 21.02
## 8615 0 10000 3 2 11.53 90000.00 14.29
## 8616 0 3125 3 4 15.61 40560.00 3.34
## 8617 0 12000 3 3 13.49 91500.00 8.54
## 8618 0 10000 5 3 13.59 50000.00 21.12
## 8619 0 2625 3 4 16.29 5674.00 16.57
## 8620 0 4800 3 2 9.44 110000.00 6.47
## 8621 0 25000 3 1 7.39 87500.00 27.47
## 8622 0 5400 3 3 14.33 50000.00 12.48
## 8623 0 25000 3 1 7.97 120000.00 8.45
## 8624 0 6525 3 4 19.53 20410.00 37.88
## 8625 0 16500 3 3 12.99 50000.00 20.36
## 8626 0 15000 5 3 15.59 81000.00 12.62
## 8627 0 5000 3 4 16.59 80000.00 30.32
## 8628 0 5000 3 2 11.44 55000.00 9.14
## 8629 0 12000 3 1 7.62 48000.00 23.98
## 8630 1 6000 3 5 22.45 43000.00 21.88
## 8631 0 21000 3 2 10.99 175000.00 29.23
## 8632 0 10000 3 2 9.17 83000.00 11.33
## 8633 1 12000 5 5 18.55 64287.72 13.55
## 8634 0 7500 3 1 6.03 33000.00 23.27
## 8635 0 35000 5 5 18.25 92000.00 31.14
## 8636 0 8000 3 2 8.67 44584.00 27.16
## 8637 0 3000 3 2 10.64 37000.00 16.25
## 8638 0 27525 3 1 7.97 63859.95 61.92
## 8639 1 16000 5 3 17.10 110000.00 11.68
## 8640 0 12800 3 3 12.29 48000.00 17.30
## 8641 0 18000 3 1 6.92 110000.00 18.99
## 8642 0 8000 3 2 11.47 160000.00 7.37
## 8643 0 16000 3 1 7.69 42000.00 11.20
## 8644 0 30000 5 3 13.33 215000.00 13.47
## 8645 0 7000 3 2 9.17 34000.00 10.87
## 8646 0 30000 5 5 23.99 65000.00 20.05
## 8647 0 8000 3 2 8.18 36252.00 29.39
## 8648 1 16075 3 1 8.39 55000.00 25.03
## 8649 1 14400 3 3 13.67 97000.00 3.85
## 8650 0 24925 5 3 16.78 56000.00 34.97
## 8651 0 30000 3 2 8.18 100000.00 34.63
## 8652 1 16000 3 3 14.65 80000.00 24.20
## 8653 0 19200 3 3 13.67 46100.00 15.39
## 8654 0 3575 3 1 7.51 45000.00 14.59
## 8655 1 8000 3 4 21.85 15338.00 51.96
## 8656 0 3125 3 3 14.64 43000.00 9.77
## 8657 0 22000 3 1 5.32 100000.00 17.95
## 8658 0 13000 3 3 13.59 40000.00 20.64
## 8659 0 10000 3 1 5.32 87000.00 16.77
## 8660 0 12000 3 1 5.32 70000.00 16.38
## 8661 1 7000 3 3 13.35 80000.00 19.13
## 8662 0 25000 3 1 7.89 115000.00 16.04
## 8663 0 20725 3 4 16.99 53000.00 30.14
## 8664 0 7200 3 1 8.90 60000.00 10.62
## 8665 0 25600 3 1 7.26 82782.16 16.11
## 8666 1 40000 3 3 15.59 170000.00 5.94
## 8667 1 35000 3 2 11.39 180000.00 13.65
## 8668 1 7000 3 2 9.44 45000.00 10.93
## 8669 0 15000 3 1 7.21 80000.00 15.92
## 8670 0 7000 3 2 10.49 95000.00 13.14
## 8671 0 35000 3 3 13.67 60000.00 63.98
## 8672 0 20200 5 3 13.49 131000.00 19.11
## 8673 0 10000 3 2 11.39 160000.00 15.99
## 8674 1 32325 3 1 5.32 110000.00 29.79
## 8675 0 20000 3 2 12.12 60000.00 15.40
## 8676 0 11200 3 2 11.14 101000.00 10.37
## 8677 0 12000 3 4 17.77 52000.00 13.57
## 8678 1 7500 3 2 11.49 43000.00 13.76
## 8679 0 24000 3 2 9.17 140000.00 23.76
## 8680 0 12000 3 1 7.26 60000.00 13.90
## 8681 0 20000 3 4 16.29 112000.00 18.16
## 8682 0 9800 3 3 13.99 130000.00 16.99
## 8683 0 4000 3 2 9.17 45000.00 37.98
## 8684 0 2800 3 2 11.99 58000.00 15.66
## 8685 0 18000 3 4 18.06 130000.00 26.58
## 8686 0 10000 3 4 19.97 30000.00 11.83
## 8687 1 25000 5 2 10.99 182500.00 16.93
## 8688 0 14400 3 3 13.65 49000.00 17.93
## 8689 0 10000 3 2 9.17 80000.00 18.70
## 8690 1 35000 3 4 16.55 112000.00 20.15
## 8691 1 10000 3 2 13.67 45000.00 6.67
## 8692 0 5000 3 2 11.99 77000.00 15.85
## 8693 1 15000 5 2 10.99 63000.00 19.60
## 8694 0 8500 3 2 9.99 35000.00 27.95
## 8695 0 20000 3 2 9.17 160000.00 14.74
## 8696 0 40000 3 1 5.32 285000.00 17.49
## 8697 0 13950 3 4 18.24 84000.00 13.13
## 8698 0 7675 3 2 9.17 42000.00 26.89
## 8699 0 30550 3 4 19.52 69000.00 33.72
## 8700 0 25000 3 2 11.55 62000.00 20.75
## 8701 1 20000 5 5 23.40 90000.00 13.84
## 8702 0 11000 3 1 5.32 85000.00 13.96
## 8703 1 28000 5 3 13.99 75000.00 21.90
## 8704 0 15000 3 3 16.78 46000.00 25.20
## 8705 1 13375 5 7 30.94 30432.00 30.68
## 8706 1 24700 5 5 19.19 65000.00 6.04
## 8707 1 6000 3 3 13.58 82272.00 18.08
## 8708 0 26000 3 3 13.59 75000.00 8.38
## 8709 0 12000 3 4 17.27 72000.00 12.78
## 8710 0 15000 3 2 10.64 80000.00 19.62
## 8711 1 10000 3 3 16.02 48000.00 12.18
## 8712 0 30000 5 5 21.15 96900.00 19.74
## 8713 0 16500 5 5 18.25 120000.00 10.03
## 8714 0 12000 5 3 12.69 60000.00 21.04
## 8715 0 3250 3 3 12.29 34000.00 22.84
## 8716 0 24000 5 5 18.55 130000.00 16.55
## 8717 0 7000 3 2 10.75 45000.00 16.96
## 8718 0 20400 3 3 13.33 65000.00 26.61
## 8719 0 35000 3 3 11.99 105000.00 38.07
## 8720 1 32000 5 5 18.25 75000.00 35.04
## 8721 0 15000 5 3 13.59 65000.00 20.27
## 8722 1 14400 3 5 20.75 40000.00 28.80
## 8723 0 25000 5 2 9.99 152000.00 13.71
## 8724 0 3800 3 2 9.99 33000.00 25.75
## 8725 0 16600 5 6 24.50 37000.00 29.48
## 8726 0 20000 3 2 9.17 91000.00 6.41
## 8727 1 21000 5 4 16.99 51000.00 32.92
## 8728 1 7900 3 4 18.24 80000.00 15.99
## 8729 0 10000 3 2 10.99 58000.00 27.70
## 8730 0 25800 3 2 13.11 58000.00 18.99
## 8731 0 20000 3 2 11.99 205000.00 13.41
## 8732 1 8400 3 3 12.88 38000.00 28.77
## 8733 0 3225 3 3 12.99 67000.00 14.10
## 8734 0 12000 3 2 11.49 81832.00 27.80
## 8735 0 16000 3 4 19.20 75000.00 14.67
## 8736 0 21000 3 2 9.75 60000.00 27.99
## 8737 0 6000 3 3 16.20 50000.00 26.48
## 8738 0 7500 3 4 17.76 55000.00 27.71
## 8739 0 7025 3 4 18.25 36000.00 28.07
## 8740 0 6000 3 3 14.46 15000.00 18.72
## 8741 0 30750 5 5 23.10 125000.00 18.88
## 8742 0 12000 5 2 9.99 36000.00 16.93
## 8743 1 6000 3 1 6.68 100000.00 12.94
## 8744 1 20000 3 4 18.06 40000.00 23.88
## 8745 0 27000 5 3 15.31 106000.00 25.86
## 8746 0 5000 3 1 6.97 260000.00 14.45
## 8747 0 12000 3 4 17.09 73205.00 23.53
## 8748 1 8225 3 2 12.99 33000.00 30.00
## 8749 1 11200 5 3 13.65 72000.00 16.95
## 8750 0 34000 3 2 10.99 110000.00 4.08
## 8751 0 20000 3 4 20.00 160000.00 5.33
## 8752 0 22400 3 4 18.06 60000.00 23.12
## 8753 0 13200 5 2 8.18 65000.00 15.94
## 8754 1 10000 3 3 13.66 88000.00 29.68
## 8755 0 10000 3 1 6.89 152500.00 31.10
## 8756 0 20000 3 2 11.67 63000.00 22.42
## 8757 0 10000 3 3 14.33 48000.00 18.23
## 8758 0 15000 5 5 24.85 105000.00 27.65
## 8759 0 4500 3 1 7.97 11436.00 107.66
## 8760 0 1200 3 1 5.32 28000.00 22.63
## 8761 1 6000 3 1 6.49 20000.00 27.79
## 8762 1 7100 3 2 12.12 26000.00 22.98
## 8763 0 35000 3 3 13.99 344000.00 9.48
## 8764 0 9000 3 2 11.48 52000.00 29.47
## 8765 0 35000 3 1 7.39 150000.00 16.81
## 8766 0 15000 3 3 11.99 42000.00 30.03
## 8767 1 6000 3 1 5.32 45000.00 25.23
## 8768 0 2875 3 3 15.31 28000.00 32.53
## 8769 0 17275 3 1 7.21 75000.00 20.88
## 8770 0 20000 3 1 7.62 75000.00 21.68
## 8771 0 15000 5 2 9.99 93000.00 8.26
## 8772 0 13500 3 2 10.49 40000.00 17.43
## 8773 0 10000 5 3 14.47 43000.00 29.97
## 8774 0 10000 3 2 9.17 75000.00 16.99
## 8775 0 10000 3 1 6.68 52000.00 15.49
## 8776 1 18000 3 4 16.55 55000.00 18.39
## 8777 1 20000 5 4 20.00 50000.00 23.82
## 8778 1 20000 5 4 15.59 80000.00 0.75
## 8779 0 8000 3 3 13.99 70000.00 27.55
## 8780 0 10000 3 1 5.93 42000.00 8.17
## 8781 1 22400 5 2 11.39 68000.00 14.47
## 8782 0 8500 3 3 13.98 42000.00 19.57
## 8783 0 22000 5 3 15.05 121000.00 8.81
## 8784 0 20000 3 3 13.44 50000.00 31.66
## 8785 1 25200 5 6 29.49 75000.00 7.95
## 8786 1 20000 3 3 12.99 62000.00 22.63
## 8787 0 5000 3 2 11.14 50000.00 13.51
## 8788 0 16000 5 1 7.89 70000.00 13.59
## 8789 1 10000 5 5 22.15 80000.00 16.71
## 8790 0 12250 5 2 11.49 35000.00 19.62
## 8791 0 4200 3 3 12.99 37794.00 37.57
## 8792 0 28000 3 1 5.32 185658.00 22.60
## 8793 1 31500 3 3 12.69 63000.00 20.04
## 8794 0 20000 3 1 8.46 130000.00 9.61
## 8795 0 12000 5 3 12.62 75000.00 6.64
## 8796 0 15000 3 2 10.99 95000.00 18.29
## 8797 0 11525 3 3 15.80 49500.00 10.88
## 8798 0 10800 3 4 15.61 130000.00 10.38
## 8799 0 15000 3 3 14.79 66000.00 11.07
## 8800 0 4200 3 1 8.90 36500.00 10.16
## 8801 0 13250 3 1 8.39 55000.00 7.46
## 8802 0 12000 3 4 17.57 42000.00 19.31
## 8803 0 25000 3 1 5.93 76000.00 11.94
## 8804 1 6000 3 4 15.61 92500.00 24.39
## 8805 1 17000 3 3 13.44 78000.00 33.08
## 8806 0 28000 5 2 10.49 260000.00 14.37
## 8807 1 5000 3 1 8.90 24000.00 8.65
## 8808 1 8000 3 3 12.99 43000.00 28.37
## 8809 1 9000 3 2 9.67 25000.00 26.84
## 8810 0 20000 3 1 6.24 100000.00 15.80
## 8811 0 3800 3 2 11.48 29244.00 18.10
## 8812 1 15300 3 4 16.99 47000.00 33.22
## 8813 0 15000 3 3 13.98 137000.00 11.37
## 8814 0 12000 3 1 6.24 64000.00 3.66
## 8815 0 15000 3 3 13.33 130000.00 12.00
## 8816 0 13075 3 4 16.99 61000.00 24.36
## 8817 0 6725 3 2 11.99 20000.00 34.87
## 8818 0 10000 3 2 10.49 45500.00 14.64
## 8819 0 35000 5 2 12.73 110000.00 10.78
## 8820 0 23000 3 2 11.05 45000.00 24.56
## 8821 0 18000 5 2 11.22 110000.00 11.70
## 8822 0 8000 3 3 13.49 54000.00 14.56
## 8823 0 11600 3 2 11.53 72000.00 9.00
## 8824 0 16000 3 2 12.49 94720.00 9.38
## 8825 0 15000 5 6 23.43 83000.00 23.31
## 8826 0 35000 5 3 12.74 200000.00 1.67
## 8827 0 6500 3 3 13.33 59600.00 14.55
## 8828 1 9600 3 3 13.99 27000.00 26.58
## 8829 0 5000 3 3 12.29 30000.00 9.44
## 8830 0 16000 5 4 16.29 60000.00 14.40
## 8831 0 18000 3 1 6.97 100000.00 13.15
## 8832 1 3000 3 2 9.99 41000.00 22.54
## 8833 0 18000 5 5 21.98 85000.00 21.81
## 8834 0 20000 5 3 13.67 50000.00 18.60
## 8835 0 15000 3 3 13.33 65000.00 17.32
## 8836 0 3650 3 4 20.89 51174.63 23.55
## 8837 1 6350 3 2 11.53 73000.00 14.06
## 8838 1 8400 3 3 14.99 42000.00 15.23
## 8839 0 35000 5 4 19.03 88240.00 34.26
## 8840 0 20000 3 2 11.12 100000.00 7.68
## 8841 0 25000 3 1 7.89 250000.00 14.77
## 8842 0 8000 3 1 8.39 128000.00 0.70
## 8843 0 15000 3 1 6.62 283000.00 16.01
## 8844 0 15000 3 2 10.16 125000.00 21.70
## 8845 1 20000 5 3 15.61 50000.00 17.71
## 8846 0 28000 5 2 11.99 65000.00 25.24
## 8847 0 18150 3 1 6.03 224000.00 4.67
## 8848 0 14400 3 1 5.32 53000.00 11.53
## 8849 0 1800 3 3 13.35 67000.00 2.60
## 8850 0 9125 3 3 12.99 22836.00 21.97
## 8851 0 6000 3 1 6.49 100000.00 4.68
## 8852 0 18000 3 1 7.89 55000.00 17.30
## 8853 0 14000 3 2 9.44 73000.00 19.30
## 8854 0 12000 3 2 11.49 56000.00 16.74
## 8855 1 25000 3 3 13.35 220000.00 12.71
## 8856 0 23175 3 3 13.99 63000.00 23.77
## 8857 0 5000 3 2 8.24 50000.00 29.14
## 8858 0 8000 3 3 13.99 48000.00 10.55
## 8859 1 3600 3 3 15.99 36700.00 30.09
## 8860 0 5000 3 2 8.18 28000.00 3.77
## 8861 0 6000 3 2 8.99 45000.00 20.35
## 8862 0 18000 5 7 26.77 50000.00 20.16
## 8863 0 6000 3 1 7.39 55000.00 14.62
## 8864 0 18150 3 4 18.06 107000.00 25.54
## 8865 0 14575 3 4 15.99 29250.00 16.21
## 8866 0 12250 3 1 6.03 50000.00 14.79
## 8867 0 8875 3 4 19.72 36000.00 9.83
## 8868 0 26400 3 5 18.25 60000.00 30.22
## 8869 0 5000 3 1 7.89 120000.00 6.30
## 8870 0 32400 3 3 12.74 113911.00 27.21
## 8871 0 14400 5 5 20.75 147000.00 17.40
## 8872 0 20000 3 2 8.18 44000.00 25.31
## 8873 0 10000 3 2 10.91 420000.00 5.10
## 8874 0 11150 3 2 9.16 65000.00 12.95
## 8875 0 8400 3 2 8.18 47000.00 19.94
## 8876 0 10200 5 3 13.67 47850.00 19.01
## 8877 1 17000 5 4 16.49 55000.00 22.95
## 8878 0 10000 3 3 14.47 43000.00 21.30
## 8879 1 5000 3 3 13.18 15000.00 32.40
## 8880 0 12000 3 1 7.89 66000.00 24.47
## 8881 0 15000 3 3 12.99 52000.00 25.59
## 8882 1 21000 3 3 13.98 94500.00 20.47
## 8883 0 18000 5 2 12.49 72000.00 17.98
## 8884 0 19000 5 3 14.33 60000.00 16.06
## 8885 0 2400 3 2 11.99 30000.00 25.48
## 8886 1 6600 3 3 13.98 51888.00 28.83
## 8887 0 10000 3 1 5.32 103000.00 3.38
## 8888 1 4000 3 2 9.93 65000.00 8.95
## 8889 0 12500 3 3 15.80 140000.00 14.83
## 8890 0 10000 3 1 6.92 50000.00 12.58
## 8891 0 30000 3 2 8.24 140000.00 23.72
## 8892 1 20000 3 3 12.61 82000.00 32.30
## 8893 0 5225 3 3 12.79 25488.00 22.69
## 8894 0 23500 3 2 13.11 140000.00 18.12
## 8895 0 9000 3 2 10.41 78500.00 16.20
## 8896 0 12700 5 6 24.99 52000.00 24.09
## 8897 0 24000 3 1 7.89 130000.00 21.61
## 8898 0 35000 5 6 26.49 93600.00 24.51
## 8899 0 3275 3 4 18.24 40000.00 25.14
## 8900 0 35000 5 2 9.93 200000.00 11.59
## 8901 0 18000 5 5 22.90 96000.00 10.74
## 8902 1 12000 5 4 18.99 28800.00 18.13
## 8903 1 11050 3 4 15.61 35000.00 33.16
## 8904 0 10000 3 2 12.85 75000.00 33.66
## 8905 0 25000 3 5 18.54 69692.00 14.12
## 8906 1 15000 3 3 14.99 70000.00 31.02
## 8907 0 3600 3 5 24.85 93600.00 2.59
## 8908 1 9600 3 5 20.50 26700.00 27.10
## 8909 1 12000 5 4 17.57 40000.00 18.33
## 8910 0 20425 3 2 9.17 82000.00 9.97
## 8911 0 25150 3 4 17.57 75000.00 17.60
## 8912 0 16000 5 3 14.49 100000.00 27.87
## 8913 0 12000 5 3 13.56 150000.00 10.01
## 8914 1 10800 5 3 13.98 30000.00 12.96
## 8915 0 8000 3 1 8.19 53000.00 10.19
## 8916 0 22750 5 2 11.86 96000.00 23.35
## 8917 0 3600 3 4 17.99 43000.00 11.53
## 8918 0 14000 3 3 13.99 50000.00 29.02
## 8919 0 20000 3 2 12.12 56000.00 13.99
## 8920 0 26500 5 4 19.05 60000.00 19.36
## 8921 0 17000 5 4 15.99 63078.00 31.70
## 8922 1 12000 3 3 14.99 42000.00 15.22
## 8923 0 3500 3 2 10.99 50000.00 8.71
## 8924 0 6500 3 3 14.46 52000.00 3.35
## 8925 0 12000 5 2 9.17 50000.00 5.93
## 8926 0 35000 3 3 15.80 89000.00 18.23
## 8927 0 20000 3 3 13.99 60000.00 17.78
## 8928 0 3275 3 5 21.99 22450.00 13.05
## 8929 0 1800 3 3 17.27 83409.00 27.30
## 8930 0 6600 3 1 8.39 18000.00 12.94
## 8931 0 10800 3 4 19.05 34401.00 21.87
## 8932 0 25000 3 4 21.49 64000.00 31.07
## 8933 0 7000 3 3 14.31 20000.00 30.25
## 8934 0 15475 5 5 20.75 76000.00 34.05
## 8935 1 4000 3 3 13.99 81000.00 24.19
## 8936 0 12900 3 1 7.62 102000.00 12.33
## 8937 0 18000 3 4 16.59 94600.00 24.75
## 8938 0 8000 3 1 7.49 89000.00 15.87
## 8939 0 32000 3 1 7.26 110000.00 25.52
## 8940 1 2500 3 3 13.99 35000.00 14.27
## 8941 0 18000 3 2 9.99 70000.00 18.48
## 8942 1 8000 3 1 6.03 24852.00 26.22
## 8943 0 12000 5 4 17.57 90000.00 16.09
## 8944 1 11000 5 3 15.99 35360.00 24.41
## 8945 1 10000 5 5 22.39 30000.00 7.88
## 8946 1 35000 3 3 12.62 75000.00 20.16
## 8947 0 10000 3 2 11.99 50000.00 8.48
## 8948 1 4625 3 4 19.53 100000.00 5.16
## 8949 0 31200 5 4 20.31 159000.00 26.70
## 8950 0 14000 3 3 14.08 107000.00 22.84
## 8951 0 6000 3 3 12.74 62000.00 5.90
## 8952 1 3600 3 5 20.99 35000.00 20.51
## 8953 0 18800 3 1 6.89 87500.00 23.92
## 8954 0 2000 3 4 15.41 37000.00 22.98
## 8955 0 14000 5 3 12.62 43500.00 21.16
## 8956 0 3000 3 1 7.39 72000.00 11.00
## 8957 1 12125 3 3 13.99 40000.00 22.65
## 8958 0 25000 3 3 15.31 138000.00 32.37
## 8959 0 12600 3 2 11.47 61000.00 30.71
## 8960 0 1000 3 4 16.99 18000.00 16.53
## 8961 0 10250 3 1 6.62 37963.00 13.53
## 8962 0 10250 3 2 10.15 50000.00 17.31
## 8963 0 10000 3 1 7.26 86000.00 2.67
## 8964 0 16800 3 1 7.89 62000.00 23.67
## 8965 1 11000 5 5 22.15 52000.00 7.04
## 8966 0 7000 3 1 6.72 41000.00 3.78
## 8967 0 6000 3 2 8.24 58000.00 29.65
## 8968 1 19200 3 3 13.59 120000.00 11.01
## 8969 1 19025 3 4 16.99 50000.00 24.09
## 8970 0 12000 5 3 12.69 78500.00 13.87
## 8971 0 9800 3 3 14.46 23160.00 56.70
## 8972 1 4000 3 4 16.29 35776.00 4.73
## 8973 0 5000 3 1 6.89 43000.00 23.67
## 8974 0 7900 3 4 21.45 22000.00 20.24
## 8975 0 22000 5 3 15.04 70000.00 12.69
## 8976 0 17000 3 3 12.62 55000.00 10.35
## 8977 1 6000 3 5 22.90 44000.00 42.77
## 8978 0 12000 3 4 19.22 69000.00 13.46
## 8979 0 9000 3 3 14.47 60000.00 13.67
## 8980 0 11000 3 2 12.12 33000.00 12.36
## 8981 0 15000 3 4 16.99 48000.00 28.03
## 8982 0 8000 3 4 15.61 32000.00 14.44
## 8983 0 22000 3 2 9.93 78000.00 29.00
## 8984 0 4000 3 3 13.67 24000.00 4.00
## 8985 0 25000 3 3 12.59 93000.00 12.89
## 8986 1 12000 5 4 18.99 108000.00 24.43
## 8987 0 17000 3 1 7.89 85000.00 29.18
## 8988 0 11000 3 3 13.67 75000.00 15.07
## 8989 0 7700 3 3 14.65 73011.00 33.02
## 8990 0 4500 3 3 13.33 38000.00 4.33
## 8991 0 9000 3 3 13.49 52000.00 32.70
## 8992 0 20000 3 1 8.19 50000.00 14.73
## 8993 0 10550 3 5 18.55 21112.00 15.46
## 8994 1 20000 5 6 26.99 60000.00 27.54
## 8995 1 10000 5 4 18.92 75919.00 18.91
## 8996 0 24000 5 4 16.59 60600.00 33.66
## 8997 0 25000 3 1 8.19 83000.00 19.99
## 8998 1 30000 3 4 16.99 225000.00 5.90
## 8999 0 16000 3 2 8.18 90000.00 15.93
## 9000 0 20000 3 3 13.49 110000.00 28.83
## 9001 0 23675 5 2 9.71 53000.00 24.50
## 9002 0 13200 5 3 16.29 48000.00 24.90
## 9003 0 25000 3 3 12.69 70000.00 11.33
## 9004 1 21000 3 2 10.91 89000.00 19.66
## 9005 0 2500 3 3 13.99 106500.00 15.10
## 9006 0 35000 3 3 15.31 95000.00 13.17
## 9007 1 12000 3 3 13.58 74000.00 18.77
## 9008 0 6000 3 1 6.72 98360.00 1.34
## 9009 1 24000 5 5 22.74 68000.00 22.91
## 9010 0 11000 3 2 9.99 40000.00 18.93
## 9011 1 30000 5 3 13.99 60000.00 30.92
## 9012 0 25000 5 1 6.49 75000.00 11.70
## 9013 0 7750 3 4 18.25 26500.00 29.44
## 9014 0 8000 3 4 19.20 170000.00 8.15
## 9015 0 12000 3 2 10.99 42680.00 31.27
## 9016 0 14400 3 1 6.92 93353.44 13.37
## 9017 0 8000 3 3 13.99 60000.00 25.34
## 9018 0 27000 5 3 14.99 90000.00 11.04
## 9019 0 8500 3 3 12.59 33000.00 18.11
## 9020 0 5000 3 3 14.47 65000.00 31.63
## 9021 0 12000 3 2 8.39 82000.00 8.51
## 9022 1 3075 3 5 20.20 50000.00 18.41
## 9023 0 18000 3 2 9.63 63000.00 9.16
## 9024 0 10000 3 1 7.89 70000.00 27.17
## 9025 1 4025 3 5 26.30 45000.00 20.00
## 9026 0 10000 5 3 13.49 60000.00 33.62
## 9027 0 12000 3 1 8.39 61900.00 17.41
## 9028 0 21000 3 3 12.74 140000.00 11.35
## 9029 1 6500 3 2 9.17 35000.00 25.45
## 9030 1 15450 5 7 30.79 56000.00 20.92
## 9031 0 20000 3 1 7.90 98000.00 11.30
## 9032 0 12000 5 5 24.74 65000.00 25.00
## 9033 1 4000 3 2 9.93 71000.00 19.57
## 9034 0 19800 3 1 6.24 92644.00 15.76
## 9035 0 17000 5 3 15.05 28000.00 35.02
## 9036 0 2600 3 3 12.62 34000.00 25.56
## 9037 0 7900 3 1 7.90 60000.00 19.64
## 9038 1 16800 5 2 8.39 57595.00 15.11
## 9039 1 15225 3 1 8.90 60000.00 26.16
## 9040 1 4200 3 2 10.91 62000.00 9.14
## 9041 0 22000 3 5 24.85 70000.00 12.62
## 9042 0 20000 3 3 12.79 132000.00 10.57
## 9043 0 10000 3 4 15.61 34000.00 25.63
## 9044 0 12000 5 4 15.61 99000.00 7.59
## 9045 1 19800 3 3 14.99 65000.00 25.86
## 9046 0 27525 3 4 18.24 60000.00 28.92
## 9047 0 9200 3 3 11.99 90000.00 19.86
## 9048 0 11000 5 1 8.19 73500.00 22.47
## 9049 0 15000 3 2 11.99 80000.00 38.33
## 9050 0 4950 3 5 24.74 41000.00 18.91
## 9051 0 20000 3 3 12.79 45250.00 32.79
## 9052 0 22075 3 4 18.92 76000.00 7.06
## 9053 0 7500 3 3 13.99 62400.00 26.54
## 9054 1 14000 5 4 15.61 99700.00 8.62
## 9055 0 10200 3 2 10.49 75000.00 13.73
## 9056 0 18000 5 1 7.39 163000.00 8.23
## 9057 0 6000 3 4 20.31 42000.00 17.39
## 9058 0 15000 3 3 13.99 52870.00 20.30
## 9059 1 21000 5 3 14.49 53000.00 31.93
## 9060 0 11300 3 3 12.99 50000.00 15.17
## 9061 1 21000 5 4 17.76 79751.64 26.63
## 9062 0 15000 3 1 8.90 50000.00 1.92
## 9063 0 8875 3 4 19.52 39900.00 23.70
## 9064 0 6000 3 2 10.99 43200.00 23.00
## 9065 0 4000 3 3 15.31 36000.00 10.53
## 9066 0 10000 3 3 15.99 100000.00 10.15
## 9067 0 10000 3 3 12.69 47200.00 21.08
## 9068 0 5000 3 3 13.98 64000.00 33.02
## 9069 0 3000 3 1 7.51 15500.00 14.55
## 9070 0 30000 5 6 23.76 70610.00 27.82
## 9071 1 10000 3 3 15.59 65000.00 20.38
## 9072 1 20800 5 3 13.99 52000.00 28.92
## 9073 0 14500 3 3 12.29 81960.00 26.69
## 9074 0 7000 3 3 12.59 88000.00 16.58
## 9075 1 35000 3 3 16.78 130000.00 12.01
## 9076 1 25000 3 2 10.75 40000.00 30.15
## 9077 1 3000 3 5 24.84 44000.00 22.37
## 9078 0 20000 3 2 9.17 60000.00 23.58
## 9079 1 10000 3 3 12.29 50000.00 37.47
## 9080 0 25000 5 3 14.49 80000.00 19.62
## 9081 0 8000 3 2 11.99 62000.00 17.65
## 9082 1 11875 5 5 20.20 41683.00 23.01
## 9083 1 23550 3 2 8.38 73000.00 26.73
## 9084 0 15000 3 2 8.18 50000.00 12.31
## 9085 0 13800 3 3 12.99 38500.00 12.31
## 9086 0 23000 5 2 9.49 100000.00 6.56
## 9087 0 14000 3 1 7.21 190000.00 12.08
## 9088 1 4000 3 2 12.69 25000.00 6.86
## 9089 0 7500 3 2 10.47 70000.00 37.72
## 9090 0 13425 3 2 13.11 51000.00 17.46
## delinquency_2years ficoRangeLow ficoRangeHigh predictions
## 1 0 690 694 0.201548398
## 2 0 755 759 0.068093168
## 3 0 665 669 0.259195854
## 4 0 665 669 0.167243402
## 5 0 680 684 0.245104281
## 6 0 670 674 0.175616489
## 7 0 665 669 0.240607542
## 8 0 695 699 0.164629253
## 9 0 760 764 0.073959343
## 10 0 680 684 0.422247118
## 11 0 660 664 0.419916356
## 12 0 685 689 0.094771195
## 13 0 750 754 0.048423547
## 14 0 685 689 0.132312271
## 15 0 710 714 0.066614170
## 16 0 705 709 0.105566470
## 17 0 775 779 0.101040000
## 18 1 725 729 0.228283010
## 19 0 705 709 0.078932969
## 20 1 670 674 0.144968117
## 21 0 720 724 0.244825451
## 22 0 690 694 0.094585718
## 23 0 680 684 0.211798354
## 24 0 680 684 0.241071719
## 25 0 725 729 0.247011068
## 26 1 685 689 0.275504025
## 27 0 765 769 0.054988487
## 28 0 695 699 0.222876696
## 29 0 670 674 0.484830248
## 30 3 690 694 0.238574334
## 31 0 670 674 0.265241320
## 32 0 725 729 0.138082739
## 33 0 670 674 0.200286063
## 34 0 660 664 0.159566896
## 35 0 740 744 0.093948556
## 36 1 670 674 0.157659057
## 37 1 675 679 0.336757768
## 38 0 740 744 0.105058209
## 39 0 660 664 0.216321730
## 40 0 690 694 0.112249218
## 41 0 710 714 0.153496460
## 42 13 670 674 0.241148227
## 43 0 680 684 0.172976211
## 44 0 670 674 0.151555075
## 45 2 735 739 0.230183381
## 46 2 725 729 0.107729088
## 47 0 710 714 0.259103693
## 48 0 680 684 0.209037426
## 49 0 735 739 0.077560240
## 50 0 660 664 0.235544356
## 51 0 715 719 0.084343057
## 52 3 670 674 0.528288833
## 53 0 670 674 0.127193700
## 54 1 675 679 0.089119345
## 55 0 660 664 0.165761196
## 56 0 665 669 0.297026992
## 57 0 770 774 0.035288444
## 58 0 675 679 0.613539500
## 59 0 755 759 0.139778467
## 60 0 675 679 0.629699088
## 61 0 715 719 0.242586592
## 62 0 680 684 0.160353759
## 63 0 670 674 0.454592359
## 64 0 730 734 0.105613538
## 65 0 665 669 0.395721068
## 66 0 695 699 0.116122274
## 67 0 715 719 0.349958879
## 68 0 670 674 0.597350049
## 69 0 660 664 0.150435768
## 70 0 690 694 0.380727560
## 71 0 665 669 0.311971717
## 72 0 660 664 0.262767952
## 73 0 730 734 0.191108301
## 74 0 745 749 0.047867965
## 75 1 680 684 0.146548757
## 76 0 690 694 0.273540059
## 77 0 705 709 0.372061731
## 78 3 670 674 0.304277622
## 79 0 715 719 0.102670832
## 80 0 735 739 0.102217867
## 81 0 710 714 0.117289198
## 82 0 680 684 0.180584620
## 83 0 755 759 0.185351659
## 84 1 690 694 0.265263863
## 85 0 690 694 0.098603485
## 86 0 710 714 0.245532224
## 87 0 675 679 0.130056188
## 88 0 695 699 0.218654286
## 89 0 675 679 0.152824242
## 90 0 725 729 0.172649749
## 91 0 660 664 0.502865753
## 92 0 670 674 0.187624470
## 93 0 720 724 0.144694669
## 94 0 710 714 0.240688661
## 95 1 755 759 0.060621472
## 96 0 695 699 0.230856365
## 97 1 660 664 0.348242510
## 98 0 680 684 0.435012219
## 99 0 680 684 0.518589021
## 100 0 670 674 0.143135508
## 101 0 695 699 0.162418380
## 102 0 660 664 0.281381802
## 103 0 810 814 0.080261880
## 104 1 680 684 0.249261926
## 105 0 735 739 0.115496243
## 106 0 680 684 0.179052417
## 107 0 690 694 0.085410070
## 108 0 665 669 0.582006199
## 109 0 705 709 0.076942932
## 110 0 670 674 0.305715990
## 111 0 705 709 0.157686967
## 112 0 660 664 0.302826315
## 113 0 705 709 0.096155554
## 114 0 675 679 0.212954731
## 115 0 750 754 0.198824672
## 116 0 710 714 0.099154347
## 117 0 740 744 0.234788494
## 118 0 680 684 0.274040857
## 119 0 795 799 0.053089539
## 120 0 685 689 0.266734149
## 121 0 700 704 0.173147002
## 122 0 670 674 0.154443383
## 123 0 720 724 0.097173306
## 124 1 675 679 0.207070153
## 125 2 700 704 0.306619171
## 126 0 685 689 0.148391037
## 127 0 695 699 0.171876820
## 128 0 690 694 0.118214055
## 129 1 680 684 0.272141374
## 130 0 720 724 0.130965995
## 131 0 670 674 0.186449141
## 132 0 670 674 0.121736747
## 133 0 770 774 0.156646021
## 134 0 705 709 0.121099499
## 135 0 665 669 0.237742277
## 136 0 745 749 0.067508503
## 137 0 775 779 0.057983114
## 138 0 685 689 0.161612090
## 139 0 715 719 0.186373374
## 140 1 670 674 0.187344164
## 141 0 690 694 0.248898169
## 142 0 710 714 0.096118776
## 143 0 685 689 0.237297821
## 144 0 680 684 0.157703659
## 145 0 750 754 0.072091506
## 146 0 710 714 0.116853219
## 147 0 695 699 0.139923063
## 148 0 700 704 0.090648736
## 149 0 660 664 0.236043948
## 150 0 695 699 0.176355712
## 151 1 700 704 0.085383014
## 152 1 675 679 0.111774577
## 153 0 785 789 0.098729310
## 154 0 660 664 0.183036603
## 155 4 690 694 0.172349721
## 156 0 660 664 0.240957455
## 157 1 675 679 0.409760145
## 158 0 695 699 0.113562883
## 159 0 695 699 0.096191271
## 160 0 670 674 0.232416356
## 161 1 775 779 0.055846828
## 162 0 710 714 0.232730591
## 163 1 680 684 0.466483095
## 164 0 670 674 0.156974349
## 165 0 665 669 0.238983960
## 166 0 690 694 0.111822865
## 167 0 670 674 0.541472242
## 168 1 670 674 0.049543724
## 169 0 735 739 0.133050515
## 170 0 690 694 0.087495539
## 171 0 760 764 0.058600833
## 172 0 685 689 0.346610644
## 173 0 675 679 0.230049994
## 174 0 715 719 0.274091073
## 175 0 710 714 0.113143049
## 176 0 725 729 0.093477687
## 177 0 800 804 0.027222626
## 178 0 685 689 0.441760206
## 179 1 695 699 0.151342276
## 180 2 675 679 0.235634548
## 181 0 675 679 0.272678386
## 182 1 670 674 0.146195876
## 183 0 685 689 0.118143556
## 184 0 755 759 0.051462149
## 185 0 710 714 0.089819844
## 186 0 675 679 0.157108628
## 187 0 690 694 0.205932309
## 188 0 690 694 0.315005270
## 189 1 710 714 0.085475727
## 190 0 720 724 0.191711879
## 191 0 715 719 0.116179599
## 192 2 695 699 0.350691892
## 193 0 735 739 0.070367557
## 194 0 725 729 0.154759152
## 195 0 665 669 0.401878618
## 196 0 705 709 0.111799884
## 197 8 675 679 0.225551709
## 198 0 680 684 0.137271812
## 199 0 700 704 0.229520228
## 200 0 770 774 0.183540648
## 201 0 695 699 0.173792324
## 202 0 670 674 0.153249407
## 203 0 695 699 0.111225961
## 204 0 665 669 0.212265900
## 205 0 670 674 0.216247220
## 206 1 680 684 0.123966992
## 207 0 670 674 0.407801823
## 208 0 665 669 0.456989751
## 209 0 700 704 0.135523674
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## 1832 0 710 714 0.093497055
## 1833 0 715 719 0.082871601
## 1834 0 665 669 0.366280715
## 1835 0 710 714 0.175201542
## 1836 0 675 679 0.120962172
## 1837 0 670 674 0.152988657
## 1838 0 680 684 0.232868869
## 1839 0 675 679 0.245440379
## 1840 0 675 679 0.149839516
## 1841 1 725 729 0.094568540
## 1842 0 675 679 0.416068145
## 1843 0 710 714 0.118910843
## 1844 1 720 724 0.078699210
## 1845 0 675 679 0.183330355
## 1846 1 690 694 0.504374518
## 1847 0 675 679 0.268189805
## 1848 0 735 739 0.066801181
## 1849 0 705 709 0.110548218
## 1850 0 660 664 0.425275522
## 1851 0 700 704 0.184258244
## 1852 0 665 669 0.430589868
## 1853 0 715 719 0.071207661
## 1854 0 680 684 0.502944490
## 1855 0 660 664 0.453163874
## 1856 0 665 669 0.158304085
## 1857 0 770 774 0.073583896
## 1858 1 680 684 0.095822135
## 1859 0 670 674 0.282051238
## 1860 0 700 704 0.100837456
## 1861 0 665 669 0.113822759
## 1862 0 685 689 0.197189400
## 1863 1 660 664 0.361091959
## 1864 0 720 724 0.262294596
## 1865 0 700 704 0.184986923
## 1866 0 695 699 0.239329769
## 1867 0 675 679 0.530644712
## 1868 0 720 724 0.064647853
## 1869 0 690 694 0.103869411
## 1870 0 665 669 0.203493030
## 1871 1 675 679 0.402854073
## 1872 0 765 769 0.062800109
## 1873 0 665 669 0.147417145
## 1874 0 700 704 0.152118805
## 1875 0 690 694 0.259896625
## 1876 0 725 729 0.079876792
## 1877 0 735 739 0.102217480
## 1878 0 760 764 0.063558080
## 1879 2 670 674 0.273130989
## 1880 0 720 724 0.125308070
## 1881 0 665 669 0.186002699
## 1882 0 665 669 0.257180612
## 1883 0 670 674 0.577357738
## 1884 0 755 759 0.062445167
## 1885 1 690 694 0.166885092
## 1886 1 710 714 0.182583463
## 1887 0 670 674 0.214375293
## 1888 0 720 724 0.093588363
## 1889 0 685 689 0.127398116
## 1890 0 705 709 0.246834355
## 1891 0 725 729 0.117491573
## 1892 0 745 749 0.151459664
## 1893 0 700 704 0.098367690
## 1894 0 725 729 0.098109562
## 1895 0 720 724 0.097239613
## 1896 0 675 679 0.420756923
## 1897 0 660 664 0.181417561
## 1898 0 725 729 0.093133468
## 1899 0 680 684 0.523043888
## 1900 0 715 719 0.072689443
## 1901 0 680 684 0.239678842
## 1902 0 740 744 0.063627512
## 1903 0 725 729 0.078007704
## 1904 1 700 704 0.087877520
## 1905 0 700 704 0.137022795
## 1906 0 715 719 0.193477603
## 1907 2 685 689 0.129699073
## 1908 0 675 679 0.186664262
## 1909 0 675 679 0.435209630
## 1910 1 680 684 0.294471827
## 1911 0 670 674 0.213324626
## 1912 0 680 684 0.127058856
## 1913 0 710 714 0.072394411
## 1914 0 690 694 0.217643491
## 1915 0 675 679 0.256864852
## 1916 1 685 689 0.089316427
## 1917 0 695 699 0.107792987
## 1918 0 775 779 0.060897869
## 1919 0 715 719 0.089763964
## 1920 1 705 709 0.146878226
## 1921 0 715 719 0.162186928
## 1922 0 670 674 0.442402986
## 1923 1 690 694 0.183644051
## 1924 0 660 664 0.178819158
## 1925 0 695 699 0.133965299
## 1926 0 690 694 0.342077998
## 1927 1 685 689 0.181866824
## 1928 0 685 689 0.164132786
## 1929 4 715 719 0.112668932
## 1930 0 680 684 0.346026877
## 1931 0 720 724 0.119259370
## 1932 0 715 719 0.097060470
## 1933 1 670 674 0.223945943
## 1934 0 725 729 0.115018311
## 1935 0 700 704 0.122818226
## 1936 0 690 694 0.134649483
## 1937 0 710 714 0.112508753
## 1938 1 680 684 0.134340168
## 1939 0 675 679 0.220014583
## 1940 0 660 664 0.171802701
## 1941 0 660 664 0.353393309
## 1942 2 660 664 0.243400189
## 1943 0 695 699 0.093335065
## 1944 0 705 709 0.280381142
## 1945 0 760 764 0.053888474
## 1946 0 660 664 0.430234309
## 1947 0 750 754 0.065212004
## 1948 0 690 694 0.416626449
## 1949 0 715 719 0.237629084
## 1950 0 710 714 0.106005796
## 1951 0 660 664 0.463941749
## 1952 0 660 664 0.269682706
## 1953 0 725 729 0.120658831
## 1954 1 730 734 0.116316318
## 1955 0 745 749 0.061662356
## 1956 0 710 714 0.180226771
## 1957 0 670 674 0.353890115
## 1958 0 705 709 0.224071997
## 1959 0 665 669 0.283348432
## 1960 0 685 689 0.104257144
## 1961 0 780 784 0.171810976
## 1962 0 710 714 0.105040855
## 1963 0 715 719 0.085417824
## 1964 0 685 689 0.180918323
## 1965 0 715 719 0.069078374
## 1966 0 670 674 0.184703488
## 1967 0 700 704 0.307849127
## 1968 4 680 684 0.104456409
## 1969 0 670 674 0.466310950
## 1970 0 750 754 0.066098737
## 1971 0 755 759 0.068993555
## 1972 0 705 709 0.060711656
## 1973 0 675 679 0.518216387
## 1974 2 670 674 0.145148788
## 1975 0 735 739 0.176922062
## 1976 0 760 764 0.081474057
## 1977 1 660 664 0.294958697
## 1978 0 665 669 0.114090015
## 1979 0 680 684 0.153290685
## 1980 0 660 664 0.167559095
## 1981 0 675 679 0.162194213
## 1982 1 695 699 0.211853789
## 1983 0 700 704 0.130932509
## 1984 0 710 714 0.121190607
## 1985 1 660 664 0.291850325
## 1986 0 665 669 0.276940756
## 1987 0 705 709 0.199372597
## 1988 1 680 684 0.162804793
## 1989 0 715 719 0.090659225
## 1990 0 735 739 0.032443495
## 1991 0 695 699 0.532670101
## 1992 0 695 699 0.225656149
## 1993 0 695 699 0.390385983
## 1994 0 670 674 0.178145825
## 1995 0 710 714 0.145509209
## 1996 2 685 689 0.138978021
## 1997 0 680 684 0.296937304
## 1998 0 680 684 0.211771974
## 1999 0 670 674 0.170450240
## 2000 0 700 704 0.241657931
## 2001 0 670 674 0.219034890
## 2002 0 665 669 0.193754613
## 2003 0 660 664 0.236735079
## 2004 0 700 704 0.277285377
## 2005 0 700 704 0.145135889
## 2006 0 705 709 0.176853951
## 2007 0 740 744 0.081747731
## 2008 0 670 674 0.141334749
## 2009 0 695 699 0.308204982
## 2010 0 690 694 0.107041897
## 2011 0 745 749 0.080646461
## 2012 0 665 669 0.306996333
## 2013 0 730 734 0.131406174
## 2014 1 675 679 0.265206284
## 2015 2 675 679 0.150420304
## 2016 0 665 669 0.182462818
## 2017 0 665 669 0.209001072
## 2018 0 700 704 0.415875305
## 2019 1 715 719 0.098634126
## 2020 0 660 664 0.200857132
## 2021 0 685 689 0.316999907
## 2022 0 680 684 0.275077908
## 2023 1 700 704 0.195769158
## 2024 1 725 729 0.077012598
## 2025 0 670 674 0.138348955
## 2026 0 680 684 0.213523504
## 2027 0 665 669 0.193443131
## 2028 1 695 699 0.204975805
## 2029 0 680 684 0.457602925
## 2030 0 710 714 0.131122259
## 2031 0 675 679 0.206761258
## 2032 1 675 679 0.152165214
## 2033 0 765 769 0.037909496
## 2034 0 715 719 0.178192636
## 2035 0 670 674 0.203018552
## 2036 0 680 684 0.216510413
## 2037 0 665 669 0.219291336
## 2038 0 675 679 0.186774188
## 2039 0 690 694 0.093503273
## 2040 0 710 714 0.119202221
## 2041 0 715 719 0.092850902
## 2042 2 665 669 0.214064961
## 2043 0 685 689 0.187881472
## 2044 0 715 719 0.151005537
## 2045 1 660 664 0.336992709
## 2046 0 700 704 0.347335795
## 2047 0 795 799 0.046004362
## 2048 0 695 699 0.265673785
## 2049 0 660 664 0.239171529
## 2050 0 720 724 0.140487516
## 2051 0 710 714 0.121502481
## 2052 0 665 669 0.203804935
## 2053 0 670 674 0.398708046
## 2054 1 670 674 0.139275880
## 2055 0 715 719 0.113284309
## 2056 0 775 779 0.115880901
## 2057 0 680 684 0.140791230
## 2058 1 675 679 0.152913830
## 2059 0 680 684 0.464876826
## 2060 0 725 729 0.056864115
## 2061 0 660 664 0.508938302
## 2062 0 790 794 0.045765174
## 2063 0 680 684 0.139060320
## 2064 0 660 664 0.219878812
## 2065 1 665 669 0.143600670
## 2066 0 680 684 0.105860851
## 2067 0 685 689 0.173654766
## 2068 0 670 674 0.490915863
## 2069 0 665 669 0.116888153
## 2070 0 670 674 0.379744189
## 2071 0 705 709 0.085385414
## 2072 0 710 714 0.090108087
## 2073 0 670 674 0.181781310
## 2074 0 690 694 0.131713938
## 2075 0 660 664 0.302302991
## 2076 0 755 759 0.175020647
## 2077 1 660 664 0.196524870
## 2078 0 695 699 0.232927822
## 2079 0 680 684 0.254037131
## 2080 0 690 694 0.114569531
## 2081 0 720 724 0.230386570
## 2082 0 685 689 0.262554674
## 2083 1 690 694 0.169537010
## 2084 0 705 709 0.082731024
## 2085 0 700 704 0.403757433
## 2086 0 670 674 0.510531254
## 2087 0 705 709 0.174621280
## 2088 0 735 739 0.080748066
## 2089 0 710 714 0.083075912
## 2090 2 660 664 0.133570777
## 2091 2 710 714 0.116857317
## 2092 0 715 719 0.116764966
## 2093 0 675 679 0.139858412
## 2094 0 695 699 0.282827430
## 2095 2 670 674 0.195992888
## 2096 0 670 674 0.264978356
## 2097 0 700 704 0.147753065
## 2098 1 685 689 0.156960505
## 2099 0 680 684 0.208948035
## 2100 0 665 669 0.167081257
## 2101 0 675 679 0.206728764
## 2102 1 670 674 0.479913929
## 2103 2 675 679 0.378347567
## 2104 2 660 664 0.316537944
## 2105 0 670 674 0.179091494
## 2106 1 665 669 0.196280030
## 2107 0 745 749 0.130175426
## 2108 2 665 669 0.136492111
## 2109 0 695 699 0.131412128
## 2110 1 705 709 0.240769063
## 2111 0 695 699 0.112977016
## 2112 0 680 684 0.188753678
## 2113 0 675 679 0.250321274
## 2114 0 745 749 0.165440133
## 2115 0 715 719 0.112948533
## 2116 0 680 684 0.385301302
## 2117 0 675 679 0.131383282
## 2118 4 680 684 0.254197679
## 2119 0 775 779 0.031187939
## 2120 0 680 684 0.363533187
## 2121 0 745 749 0.083936186
## 2122 0 715 719 0.086473644
## 2123 0 665 669 0.222290944
## 2124 0 690 694 0.149115853
## 2125 1 665 669 0.307196340
## 2126 3 660 664 0.256451169
## 2127 0 715 719 0.179074238
## 2128 0 795 799 0.044563532
## 2129 2 705 709 0.103599330
## 2130 0 745 749 0.097120946
## 2131 1 670 674 0.426502016
## 2132 1 675 679 0.217226847
## 2133 0 700 704 0.116100630
## 2134 0 700 704 0.203387203
## 2135 0 715 719 0.174481017
## 2136 1 670 674 0.363419992
## 2137 0 690 694 0.097317009
## 2138 0 770 774 0.078808908
## 2139 0 670 674 0.185343847
## 2140 0 720 724 0.134633888
## 2141 18 660 664 0.409846532
## 2142 0 675 679 0.218843799
## 2143 1 675 679 0.268412203
## 2144 0 665 669 0.270880840
## 2145 0 715 719 0.088824700
## 2146 0 700 704 0.140607915
## 2147 0 705 709 0.131647306
## 2148 0 675 679 0.170771264
## 2149 0 675 679 0.144121213
## 2150 2 670 674 0.135178015
## 2151 0 735 739 0.090916909
## 2152 0 720 724 0.089591326
## 2153 0 765 769 0.105764362
## 2154 1 665 669 0.592265044
## 2155 0 700 704 0.113087250
## 2156 0 670 674 0.198299541
## 2157 0 670 674 0.241438386
## 2158 0 665 669 0.157433645
## 2159 0 730 734 0.088043632
## 2160 0 685 689 0.139097614
## 2161 0 700 704 0.248995787
## 2162 0 690 694 0.129499200
## 2163 1 715 719 0.098277800
## 2164 1 660 664 0.255739414
## 2165 0 675 679 0.145240931
## 2166 0 700 704 0.062149435
## 2167 0 785 789 0.116955740
## 2168 0 680 684 0.162053939
## 2169 2 680 684 0.141973957
## 2170 0 695 699 0.710006420
## 2171 0 660 664 0.210323886
## 2172 0 680 684 0.442541827
## 2173 0 720 724 0.140262566
## 2174 0 670 674 0.358066345
## 2175 0 665 669 0.240390648
## 2176 0 730 734 0.093118523
## 2177 0 680 684 0.210558584
## 2178 0 665 669 0.225932843
## 2179 0 700 704 0.374952905
## 2180 0 695 699 0.301959259
## 2181 0 660 664 0.466638393
## 2182 0 715 719 0.383036657
## 2183 0 720 724 0.143798028
## 2184 1 690 694 0.259445290
## 2185 1 705 709 0.268614518
## 2186 1 710 714 0.263980463
## 2187 0 755 759 0.076454714
## 2188 0 665 669 0.336223645
## 2189 1 680 684 0.302798827
## 2190 4 660 664 0.278664764
## 2191 0 770 774 0.053363853
## 2192 0 675 679 0.147183239
## 2193 0 665 669 0.185456451
## 2194 0 680 684 0.146846807
## 2195 0 770 774 0.066546645
## 2196 1 735 739 0.161351498
## 2197 0 680 684 0.489445913
## 2198 1 725 729 0.111058722
## 2199 0 660 664 0.227466523
## 2200 0 675 679 0.316290373
## 2201 0 685 689 0.087373200
## 2202 0 745 749 0.231125951
## 2203 2 700 704 0.215199923
## 2204 0 710 714 0.081132104
## 2205 1 705 709 0.186916045
## 2206 0 690 694 0.206180217
## 2207 0 705 709 0.104332069
## 2208 2 660 664 0.233844912
## 2209 0 695 699 0.107667693
## 2210 1 705 709 0.339945331
## 2211 0 705 709 0.087326928
## 2212 0 700 704 0.138225855
## 2213 0 665 669 0.227269126
## 2214 0 675 679 0.286727744
## 2215 2 700 704 0.212418973
## 2216 0 695 699 0.096506393
## 2217 0 695 699 0.101041200
## 2218 0 775 779 0.060811120
## 2219 1 690 694 0.097658010
## 2220 0 705 709 0.103888476
## 2221 0 690 694 0.443197903
## 2222 0 675 679 0.368785758
## 2223 0 715 719 0.076514177
## 2224 0 740 744 0.162141941
## 2225 0 715 719 0.229555197
## 2226 0 695 699 0.122661163
## 2227 0 705 709 0.396111135
## 2228 0 670 674 0.174802337
## 2229 0 715 719 0.088410321
## 2230 0 695 699 0.353240183
## 2231 0 685 689 0.225783726
## 2232 0 790 794 0.053813639
## 2233 0 705 709 0.133289306
## 2234 0 730 734 0.172984365
## 2235 0 685 689 0.170672080
## 2236 0 690 694 0.289348434
## 2237 1 690 694 0.162551200
## 2238 0 695 699 0.103827947
## 2239 0 665 669 0.233143926
## 2240 1 705 709 0.140011524
## 2241 0 680 684 0.222490357
## 2242 0 670 674 0.117171188
## 2243 0 710 714 0.395331415
## 2244 0 705 709 0.176088796
## 2245 1 670 674 0.106207651
## 2246 0 680 684 0.174589082
## 2247 0 710 714 0.115176590
## 2248 0 720 724 0.085440945
## 2249 0 670 674 0.598614788
## 2250 0 695 699 0.097324644
## 2251 0 660 664 0.544577639
## 2252 0 735 739 0.159773453
## 2253 0 670 674 0.173271510
## 2254 0 675 679 0.216601144
## 2255 0 720 724 0.081904130
## 2256 0 710 714 0.100706527
## 2257 0 725 729 0.082003743
## 2258 0 700 704 0.194722088
## 2259 0 725 729 0.100250941
## 2260 0 695 699 0.078635211
## 2261 0 755 759 0.052332999
## 2262 0 680 684 0.260904312
## 2263 0 690 694 0.384031285
## 2264 0 685 689 0.275141875
## 2265 0 675 679 0.113176559
## 2266 0 680 684 0.130322102
## 2267 0 755 759 0.091995992
## 2268 0 755 759 0.203114095
## 2269 0 660 664 0.381502731
## 2270 0 710 714 0.414944646
## 2271 0 670 674 0.291075140
## 2272 0 670 674 0.193306741
## 2273 0 710 714 0.245938488
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## 2275 0 660 664 0.204169005
## 2276 0 660 664 0.224384571
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## 2278 0 675 679 0.222319858
## 2279 0 660 664 0.315987444
## 2280 0 775 779 0.072102542
## 2281 0 675 679 0.196534865
## 2282 0 700 704 0.140160089
## 2283 0 680 684 0.126241931
## 2284 0 690 694 0.147360969
## 2285 0 660 664 0.353796956
## 2286 0 660 664 0.427699369
## 2287 0 720 724 0.229045739
## 2288 0 705 709 0.270688988
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## 2290 0 695 699 0.104380535
## 2291 0 675 679 0.165171468
## 2292 1 670 674 0.129827195
## 2293 0 685 689 0.241671214
## 2294 0 700 704 0.339412602
## 2295 0 730 734 0.068614413
## 2296 0 710 714 0.050269610
## 2297 0 720 724 0.110553329
## 2298 0 720 724 0.071293195
## 2299 0 675 679 0.258400596
## 2300 0 705 709 0.146048302
## 2301 0 700 704 0.284202973
## 2302 0 710 714 0.407609298
## 2303 0 705 709 0.257898870
## 2304 0 725 729 0.122061010
## 2305 1 660 664 0.345165067
## 2306 0 715 719 0.152782798
## 2307 0 660 664 0.412053312
## 2308 0 770 774 0.062385657
## 2309 0 685 689 0.194695333
## 2310 0 680 684 0.214138745
## 2311 3 660 664 0.312432514
## 2312 0 690 694 0.150014124
## 2313 0 670 674 0.132314196
## 2314 0 680 684 0.233604247
## 2315 0 675 679 0.341717105
## 2316 0 675 679 0.208049126
## 2317 0 695 699 0.125307520
## 2318 1 675 679 0.175929347
## 2319 1 675 679 0.124871768
## 2320 0 665 669 0.187008447
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## 2323 0 665 669 0.433008164
## 2324 0 670 674 0.307619816
## 2325 1 695 699 0.157545378
## 2326 0 670 674 0.213350278
## 2327 1 675 679 0.202328120
## 2328 0 735 739 0.169472183
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## 2330 0 695 699 0.140270386
## 2331 0 660 664 0.133551716
## 2332 0 710 714 0.093113953
## 2333 0 770 774 0.106546022
## 2334 0 680 684 0.431998991
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## 2336 1 690 694 0.254431156
## 2337 0 660 664 0.277839572
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## 2345 0 670 674 0.187214253
## 2346 0 710 714 0.735351950
## 2347 0 705 709 0.121180011
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## 2349 0 700 704 0.143377652
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## 2351 0 660 664 0.559520448
## 2352 1 715 719 0.097423127
## 2353 0 700 704 0.100976922
## 2354 0 705 709 0.093430585
## 2355 0 670 674 0.242152059
## 2356 0 710 714 0.232137789
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## 2358 0 660 664 0.276251373
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## 2365 0 680 684 0.128434491
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## 2370 0 765 769 0.067696102
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## [ reached 'max' / getOption("max.print") -- omitted 150910 rows ]# Convert predicted probabilities to binary predictions
lr_pred_df$pred <- ifelse(lr_pred_df$predictions > 0.5, 1, 0)
cols <- c("isDefault","pred")
lr_pred <- lr_pred_df[cols]
lr_pred## isDefault pred
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## [ reached 'max' / getOption("max.print") -- omitted 110001 rows ]Evaluate the Logistic Regression model with accuracy, precision, recall, and F1-score
#create the confusion matrix for the LR model with all predictors
confusionMatrix <- table(lr_pred_df$isDefault,lr_pred_df$pred)
cm <- confusionMatrix(confusionMatrix, mode = "everything")
cm## Confusion Matrix and Statistics
##
##
## 0 1
## 0 126082 2134
## 1 29678 2106
##
## Accuracy : 0.8012
## 95% CI : (0.7992, 0.8031)
## No Information Rate : 0.9735
## P-Value [Acc > NIR] : 1
##
## Kappa : 0.0736
##
## Mcnemar's Test P-Value : <2e-16
##
## Sensitivity : 0.80946
## Specificity : 0.49670
## Pos Pred Value : 0.98336
## Neg Pred Value : 0.06626
## Precision : 0.98336
## Recall : 0.80946
## F1 : 0.88798
## Prevalence : 0.97350
## Detection Rate : 0.78801
## Detection Prevalence : 0.80135
## Balanced Accuracy : 0.65308
##
## 'Positive' Class : 0
## Model Inprovement
Dealing class imbalance with weight parameter
# Calculate imbalance_weight based on the ratio of negative to positive class samples
imbalance_weight <- sum(lr_df_train$isDefault == 0) / sum(lr_df_train$isDefault == 1)# Fit logistic regression model
model <- glm(isDefault ~ ., data = lr_df_train, family = "binomial", weights = ifelse(lr_df_train$isDefault == 1, imbalance_weight, 1))## Warning in eval(family$initialize): non-integer #successes in a binomial glm!# Summary of the logistic regression model
summary(model)##
## Call:
## glm(formula = isDefault ~ ., family = "binomial", data = lr_df_train,
## weights = ifelse(lr_df_train$isDefault == 1, imbalance_weight,
## 1))
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 5.049e-01 9.483e-01 0.532 0.594
## loanAmnt 9.024e-06 2.996e-07 30.125 < 2e-16 ***
## term 2.252e-01 2.759e-03 81.632 < 2e-16 ***
## grade_numeric 2.137e-01 5.382e-03 39.703 < 2e-16 ***
## interestRate 4.566e-02 1.451e-03 31.477 < 2e-16 ***
## annualIncome -2.543e-06 5.464e-08 -46.540 < 2e-16 ***
## dti 1.375e-02 2.470e-04 55.659 < 2e-16 ***
## delinquency_2years 1.530e-02 2.349e-03 6.516 7.23e-11 ***
## ficoRangeLow -3.844e-01 2.373e-01 -1.620 0.105
## ficoRangeHigh 3.782e-01 2.373e-01 1.594 0.111
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 1420048 on 639999 degrees of freedom
## Residual deviance: 1291171 on 639990 degrees of freedom
## AIC: 1290098
##
## Number of Fisher Scoring iterations: 5predictions <- predict(model, newdata = lr_df_test, type = "response")lr_pred_df <- cbind(lr_df_test, predictions)# Convert predicted probabilities to binary predictions
lr_pred_df$pred <- ifelse(lr_pred_df$predictions > 0.5, 1, 0)
cols <- c("isDefault","pred")
lr_pred <- lr_pred_df[cols]
lr_pred## isDefault pred
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## [ reached 'max' / getOption("max.print") -- omitted 110001 rows ]Evaluate the Logistic Regression model with accuracy, precision, recall, and F1-score
#create the confusion matrix for the LR model with all predictors
confusionMatrix <- table(lr_pred_df$isDefault,lr_pred_df$pred)
cm <- confusionMatrix(confusionMatrix, mode = "everything")
cm## Confusion Matrix and Statistics
##
##
## 0 1
## 0 85042 43174
## 1 12186 19598
##
## Accuracy : 0.654
## 95% CI : (0.6517, 0.6563)
## No Information Rate : 0.6077
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.2048
##
## Mcnemar's Test P-Value : < 2.2e-16
##
## Sensitivity : 0.8747
## Specificity : 0.3122
## Pos Pred Value : 0.6633
## Neg Pred Value : 0.6166
## Precision : 0.6633
## Recall : 0.8747
## F1 : 0.7544
## Prevalence : 0.6077
## Detection Rate : 0.5315
## Detection Prevalence : 0.8014
## Balanced Accuracy : 0.5934
##
## 'Positive' Class : 0
## Random Forest
Built Random Forest Classificaiotn Model Import cleaned train and test dataset
data_train <- read.csv("Dataset/df_train_cleaned_Standardized.csv")
data_test <- read.csv("Dataset/df_test_cleaned_Standardized.csv")Selected improtant Feature Selection
features <- c("loanAmnt", "term", "grade_numeric", "interestRate","annualIncome", "dti", "delinquency_2years", "ficoRangeLow", "ficoRangeHigh")
target <- "isDefault"data_train <- data_train[,c(features, target)]
data_test <- data_test[, c(features, target)]data_train$isDefault <- as.factor(data_train$isDefault)
data_test$isDefault <- as.factor(data_test$isDefault)Built Random Forest Classification Model
Fit Random Forest Model
rf_model <- randomForest(isDefault ~ ., data = data_train, ntree = 100, importance = TRUE)
print(rf_model)##
## Call:
## randomForest(formula = isDefault ~ ., data = data_train, ntree = 100, importance = TRUE)
## Type of random forest: classification
## Number of trees: 100
## No. of variables tried at each split: 3
##
## OOB estimate of error rate: 20.58%
## Confusion matrix:
## 0 1 class.error
## 0 495101 17073 0.03333437
## 1 114641 13185 0.89685197Make predictions on the test set
predictions <- predict(rf_model, newdata = data_test, type = "response")Evaluate the model
confusion_matrix <- confusionMatrix(predictions, data_test$isDefault)
print(confusion_matrix)## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 124575 28941
## 1 3641 2843
##
## Accuracy : 0.7964
## 95% CI : (0.7944, 0.7983)
## No Information Rate : 0.8014
## P-Value [Acc > NIR] : 1
##
## Kappa : 0.0871
##
## Mcnemar's Test P-Value : <2e-16
##
## Sensitivity : 0.97160
## Specificity : 0.08945
## Pos Pred Value : 0.81148
## Neg Pred Value : 0.43846
## Prevalence : 0.80135
## Detection Rate : 0.77859
## Detection Prevalence : 0.95947
## Balanced Accuracy : 0.53053
##
## 'Positive' Class : 0
## print(paste("Accuracy: ", confusion_matrix$overall["Accuracy"]))## [1] "Accuracy: 0.7963625"print(paste("Precision: ", confusion_matrix$byClass["Pos Pred Value"]))## [1] "Precision: 0.811478933791917"print(paste("Recall: ", confusion_matrix$byClass["Sensitivity"]))## [1] "Recall: 0.971602608098833"print(paste("F1 Score: ", confusion_matrix$byClass["F1"]))## [1] "F1 Score: 0.884351085428705"Model improvement
Undersampling majority class
table(data_train$isDefault)##
## 0 1
## 512174 127826n_default <- 127826
new_frac_default <- 0.5
new_n_total <- n_default/new_frac_defaultundersampling_result <- ovun.sample(formula = isDefault ~ ., data=data_train,
method = "under", N = new_n_total, seed = 2018)
undersampled_data <- undersampling_result$data
table(undersampled_data$isDefault)##
## 0 1
## 127826 127826rf_model_undersampled <- randomForest(isDefault ~ ., data = undersampled_data, ntree = 100, importance = TRUE)
print(rf_model_undersampled)##
## Call:
## randomForest(formula = isDefault ~ ., data = undersampled_data, ntree = 100, importance = TRUE)
## Type of random forest: classification
## Number of trees: 100
## No. of variables tried at each split: 3
##
## OOB estimate of error rate: 37.14%
## Confusion matrix:
## 0 1 class.error
## 0 78961 48865 0.3822775
## 1 46077 81749 0.3604666Make predictions on the test set
predictions_undersampled <- predict(rf_model_undersampled, newdata = data_test, type = "response")Evaluate the model (Undersampled)
confusion_matrix_undersampled <- confusionMatrix(predictions_undersampled, data_test$isDefault)
print(confusion_matrix_undersampled)## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 79014 11365
## 1 49202 20419
##
## Accuracy : 0.6215
## 95% CI : (0.6191, 0.6238)
## No Information Rate : 0.8014
## P-Value [Acc > NIR] : 1
##
## Kappa : 0.1787
##
## Mcnemar's Test P-Value : <2e-16
##
## Sensitivity : 0.6163
## Specificity : 0.6424
## Pos Pred Value : 0.8743
## Neg Pred Value : 0.2933
## Prevalence : 0.8014
## Detection Rate : 0.4938
## Detection Prevalence : 0.5649
## Balanced Accuracy : 0.6293
##
## 'Positive' Class : 0
## print("Undersampled")## [1] "Undersampled"print(paste("Accuracy: ", confusion_matrix_undersampled$overall["Accuracy"]))## [1] "Accuracy: 0.62145625"print(paste("Precision: ", confusion_matrix_undersampled$byClass["Pos Pred Value"]))## [1] "Precision: 0.874251762024364"print(paste("Recall: ", confusion_matrix_undersampled$byClass["Sensitivity"]))## [1] "Recall: 0.616256941411368"print(paste("F1 Score: ", confusion_matrix_undersampled$byClass["F1"]))## [1] "F1 Score: 0.72292595896521"importance_values <- importance(rf_model_undersampled)
print(importance_values)## 0 1 MeanDecreaseAccuracy MeanDecreaseGini
## loanAmnt 8.919221 34.212879 42.40723 19304.458
## term 40.048088 14.344220 56.97712 2330.355
## grade_numeric 6.186880 36.844698 33.60846 7143.921
## interestRate 5.695015 32.542863 48.19628 21586.345
## annualIncome 18.036226 35.639916 38.01768 21713.994
## dti 26.611272 10.564840 27.64659 27036.665
## delinquency_2years 11.574107 -7.222803 4.51735 4129.889
## ficoRangeLow 8.233379 9.392561 19.26941 7205.260
## ficoRangeHigh 8.658517 11.403047 19.10493 7340.374varImpPlot(rf_model_undersampled)
sorted_importance <- importance_values[order(-importance_values[, 1]),]# Plot feature importance as a bar chart
barplot(sorted_importance[, 1], names.arg = rownames(sorted_importance),
main = "Random Forest Feature Importance",
xlab = "Importance", ylab = "Features",
col = "skyblue", las = 2, cex.names = 0.7)
LightGBM
# Set a seed for reproducibility
set.seed(123)# Read the train and test set pre-cleaned in project 1
df_train <- read.csv("Dataset/df_train_cleaned_Standardized.csv")
df_test <- read.csv("Dataset/df_test_cleaned_Standardized.csv")Select features and target variable
df_train$isDefault<-as.numeric(df_train$isDefault)
class(df_train$isDefault)## [1] "numeric"features <- c("loanAmnt", "term", "grade_numeric", "interestRate","annualIncome", "dti", "delinquency_2years", "ficoRangeLow", "ficoRangeHigh")
target <- "isDefault"# Convert data to LightGBM dataset format
lgb_train <- lgb.Dataset(data = as.matrix(df_train[, features]), label = df_train[, target])
lgb_test <- lgb.Dataset(data = as.matrix(df_test[, features]))Built LightGBM model
Set parameters for LightGBM
params <- list(
objective = "binary",
metric = "binary_logloss",
boosting_type = "gbdt",
subsample = 0.85,
colsample_bytree = 0.7,
learning_rate = 0.1,
max_depth = 7,
num_threads = 2
)Train the LightGBM model
lgb_model <- lgb.train(
params = params,
data = lgb_train,
nrounds=100
)## [LightGBM] [Warning] Accuracy may be bad since you didn't explicitly set num_leaves OR 2^max_depth > num_leaves. (num_leaves=31).
## [LightGBM] [Warning] Accuracy may be bad since you didn't explicitly set num_leaves OR 2^max_depth > num_leaves. (num_leaves=31).
## [LightGBM] [Warning] Accuracy may be bad since you didn't explicitly set num_leaves OR 2^max_depth > num_leaves. (num_leaves=31).
## [LightGBM] [Warning] Accuracy may be bad since you didn't explicitly set num_leaves OR 2^max_depth > num_leaves. (num_leaves=31).
## [LightGBM] [Info] Number of positive: 127826, number of negative: 512174
## [LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.055294 seconds.
## You can set `force_col_wise=true` to remove the overhead.
## [LightGBM] [Info] Total Bins 1126
## [LightGBM] [Info] Number of data points in the train set: 640000, number of used features: 9
## [LightGBM] [Info] [binary:BoostFromScore]: pavg=0.199728 -> initscore=-1.387994
## [LightGBM] [Info] Start training from score -1.387994Make predictions on the test set
test_predictions_lgb <- predict(lgb_model, as.matrix(df_test[, features]))Convert probabilities to binary labels based on the threshold
threshold = 0.5
test_predicted_labels_lgb <- ifelse(test_predictions_lgb > threshold, 1, 0)Add predicted labels to the test dataset
df_test$predicted_isDefault_lgb <- test_predicted_labels_lgbEvaluate the model performance
# Calculate accuracy
test_accuracy_lgb <- mean(df_test$predicted_isDefault_lgb == df_test$isDefault)# Confusion matrix
conf_matrix_lgb <- table(df_test$isDefault, df_test$predicted_isDefault_lgb)
conf_matrix_lgb##
## 0 1
## 0 126746 1470
## 1 30111 1673# Calculate precision, recall, and F1 score
precision_lgb <- conf_matrix_lgb[2, 2] / sum(conf_matrix_lgb[, 2])
recall_lgb <- conf_matrix_lgb[2, 2] / sum(conf_matrix_lgb[2, ])
f1_score_lgb <- 2 * (precision_lgb * recall_lgb) / (precision_lgb + recall_lgb)
cat("Accuracy:", test_accuracy_lgb, "\n")## Accuracy: 0.8026188cat("Precision:", precision_lgb, "\n")## Precision: 0.532294cat("Recall:", recall_lgb, "\n")## Recall: 0.05263655cat("F1 Score:", f1_score_lgb, "\n")## F1 Score: 0.09579981Model Inprovement - scale pos weight
# Set parameters for LightGBM
params_set2 <- list(
objective = "binary",
metric = "binary_logloss",
boosting_type = "gbdt",
subsample = 0.85,
colsample_bytree = 0.7,
learning_rate = 0.1,
max_depth = 7,
num_threads = 2,
scale_pos_weight=sum(df_train$isDefault == 0) / sum(df_train$isDefault == 1)
)Train the LightGBM model
{r lgb_model <- lgb.train( params = params_set2, data = lgb_train, nrounds=100 )
Make predictions on the test set
test_predictions_lgb <- predict(lgb_model, as.matrix(df_test[, features]))Convert probabilities to binary labels based on the threshold
test_predicted_labels_lgb <- ifelse(test_predictions_lgb > threshold, 1, 0)Add predicted labels to the test dataset
df_test$predicted_isDefault_lgb <- test_predicted_labels_lgbEvaluate the model performance
# Calculate accuracy
test_accuracy_lgb <- mean(df_test$predicted_isDefault_lgb == df_test$isDefault)# Confusion matrix
conf_matrix_lgb <- table(df_test$isDefault, df_test$predicted_isDefault_lgb)
conf_matrix_lgb##
## 0 1
## 0 126746 1470
## 1 30111 1673# Calculate precision, recall, and F1 score
precision_lgb <- conf_matrix_lgb[2, 2] / sum(conf_matrix_lgb[, 2])
recall_lgb <- conf_matrix_lgb[2, 2] / sum(conf_matrix_lgb[2, ])
f1_score_lgb <- 2 * (precision_lgb * recall_lgb) / (precision_lgb + recall_lgb)
cat("Accuracy:", test_accuracy_lgb, "\n")## Accuracy: 0.8026188cat("Precision:", precision_lgb, "\n")## Precision: 0.532294cat("Recall:", recall_lgb, "\n")## Recall: 0.05263655cat("F1 Score:", f1_score_lgb, "\n")## F1 Score: 0.09579981Extract feature importance
feature_importances <- lgb.importance(lgb_model, percentage = TRUE)Convert to a data frame for visualisation
feature_importances_df <- as.data.frame(feature_importances)# Plotting
ggplot(feature_importances_df, aes(x = reorder(Feature, Gain), y = Gain)) +
geom_bar(stat = "identity") +
coord_flip() + # Flip coordinates to make it horizontal
labs(title = "Feature Importances in LightGBM Model", x = "Features", y = "Gain") +
theme_minimal()
XGBoost
# Set a seed for reproducibility
set.seed(123)# Read the train and test set pre-cleaned in project 1
df_train <- read.csv("Dataset/df_train_cleaned_Standardized.csv")
df_test <- read.csv("Dataset/df_test_cleaned_Standardized.csv")# Select features and target variable
df_train$isDefault<-as.numeric(df_train$isDefault)
class(df_train$isDefault)## [1] "numeric"features <- c("loanAmnt", "term", "grade_numeric", "interestRate","annualIncome", "dti", "delinquency_2years", "ficoRangeLow", "ficoRangeHigh")
target <- "isDefault"# Convert data to DMatrix format for xgboost
dtrain <- xgb.DMatrix(data = as.matrix(df_train[, features]), label = df_train[, target])
dtest <- xgb.DMatrix(data = as.matrix(df_test[, features]))Built XGBoost Model
Hyperparameter to get the parameter with optimal performance
params_Set1 <- list(
objective = "binary:logistic", # Logistic regression for binary classification
eval_metric = "logloss",
subsample=0.85, #fraction of the training samples (randomly selected) that will be used to train each tree.
colsample_bytree=0.7, #fraction of features (randomly selected) that will be used to train each tree.
colsample_bylevel=1, #fraction of features (randomly selected) that will be used in each node to train each tree.
eta=0.1,
nthread=2,
max_depth=7
)Train the XGBoost model
xgb_model <- xgboost(data = dtrain, params = params_Set1, nrounds=50)## [1] train-logloss:0.653832
## [2] train-logloss:0.621964
## [3] train-logloss:0.595593
## [4] train-logloss:0.573482
## [5] train-logloss:0.554954
## [6] train-logloss:0.539521
## [7] train-logloss:0.526473
## [8] train-logloss:0.515469
## [9] train-logloss:0.506113
## [10] train-logloss:0.498187
## [11] train-logloss:0.491520
## [12] train-logloss:0.485791
## [13] train-logloss:0.480976
## [14] train-logloss:0.476861
## [15] train-logloss:0.473368
## [16] train-logloss:0.470376
## [17] train-logloss:0.467868
## [18] train-logloss:0.465637
## [19] train-logloss:0.463733
## [20] train-logloss:0.462082
## [21] train-logloss:0.460831
## [22] train-logloss:0.459607
## [23] train-logloss:0.458669
## [24] train-logloss:0.457786
## [25] train-logloss:0.457017
## [26] train-logloss:0.456362
## [27] train-logloss:0.455767
## [28] train-logloss:0.455284
## [29] train-logloss:0.454843
## [30] train-logloss:0.454426
## [31] train-logloss:0.454042
## [32] train-logloss:0.453782
## [33] train-logloss:0.453507
## [34] train-logloss:0.453267
## [35] train-logloss:0.453065
## [36] train-logloss:0.452842
## [37] train-logloss:0.452674
## [38] train-logloss:0.452526
## [39] train-logloss:0.452374
## [40] train-logloss:0.452200
## [41] train-logloss:0.452049
## [42] train-logloss:0.451867
## [43] train-logloss:0.451732
## [44] train-logloss:0.451614
## [45] train-logloss:0.451479
## [46] train-logloss:0.451383
## [47] train-logloss:0.451292
## [48] train-logloss:0.451173
## [49] train-logloss:0.451066
## [50] train-logloss:0.450948# Make predictions on the test set
test_predictions <- predict(xgb_model, dtest)# Convert probabilities to binary labels based on the threshold
threshold <- 0.5
test_predicted_labels <- ifelse(test_predictions > threshold, 1, 0)
err <- mean(as.numeric(test_predictions > 0.5) != df_test$isDefault)
print(paste("test-error=", err))## [1] "test-error= 0.197"# Add predicted labels to the test dataset
df_test$predicted_isDefault <- test_predicted_labels# Calculate accuracy
test_accuracy <- mean(df_test$predicted_isDefault == df_test$isDefault)# Calculate F1 Score
true_labels <- df_test$isDefault
predicted_labels <- df_test$predicted_isDefault# Confusion matrix
conf_matrix <- table(true_labels, predicted_labels)
conf_matrix## predicted_labels
## true_labels 0 1
## 0 126876 1340
## 1 30180 1604# Calculate precision, recall, and F1 score
precision <- conf_matrix[2, 2] / sum(conf_matrix[, 2])
recall <- conf_matrix[2, 2] / sum(conf_matrix[2, ])
f1_score <- 2 * (precision * recall) / (precision + recall)
cat("Test Set Accuracy:", test_accuracy, "\n")## Test Set Accuracy: 0.803cat("Test Set precision:", precision, "\n")## Test Set precision: 0.544837cat("Test Set recall:", recall, "\n")## Test Set recall: 0.05046564cat("Test Set f1_score:", f1_score, "\n")## Test Set f1_score: 0.09237503Model improvement
Hyperparameter tuning
params_set2 <- list(
objective = "binary:logistic", # Logistic regression for binary classification
eval_metric = "logloss",
subsample=0.85, #fraction of the training samples (randomly selected) that will be used to train each tree.
colsample_bytree=0.7, #fraction of features (randomly selected) that will be used to train each tree.
colsample_bylevel=1, #fraction of features (randomly selected) that will be used in each node to train each tree.
eta=0.1,
nthread=2,
max_depth=7,
scale_pos_weight=sum(df_train$isDefault == 0) / sum(df_train$isDefault == 1)
)# Train the XGBoost model
xgb_model2 <- xgboost(data = dtrain, params = params_set2, nrounds=50)## [1] train-logloss:0.681813
## [2] train-logloss:0.671994
## [3] train-logloss:0.664174
## [4] train-logloss:0.657502
## [5] train-logloss:0.651947
## [6] train-logloss:0.647475
## [7] train-logloss:0.643669
## [8] train-logloss:0.640342
## [9] train-logloss:0.637794
## [10] train-logloss:0.635434
## [11] train-logloss:0.633244
## [12] train-logloss:0.631536
## [13] train-logloss:0.629907
## [14] train-logloss:0.628595
## [15] train-logloss:0.627488
## [16] train-logloss:0.626545
## [17] train-logloss:0.625706
## [18] train-logloss:0.624987
## [19] train-logloss:0.624330
## [20] train-logloss:0.623765
## [21] train-logloss:0.623226
## [22] train-logloss:0.622744
## [23] train-logloss:0.622346
## [24] train-logloss:0.621961
## [25] train-logloss:0.621620
## [26] train-logloss:0.621362
## [27] train-logloss:0.620983
## [28] train-logloss:0.620736
## [29] train-logloss:0.620559
## [30] train-logloss:0.620358
## [31] train-logloss:0.620130
## [32] train-logloss:0.619873
## [33] train-logloss:0.619720
## [34] train-logloss:0.619504
## [35] train-logloss:0.619359
## [36] train-logloss:0.619206
## [37] train-logloss:0.618994
## [38] train-logloss:0.618898
## [39] train-logloss:0.618698
## [40] train-logloss:0.618583
## [41] train-logloss:0.618471
## [42] train-logloss:0.618312
## [43] train-logloss:0.618112
## [44] train-logloss:0.617976
## [45] train-logloss:0.617832
## [46] train-logloss:0.617613
## [47] train-logloss:0.617509
## [48] train-logloss:0.617416
## [49] train-logloss:0.617307
## [50] train-logloss:0.617204# Make predictions on the test set
test_predictions <- predict(xgb_model2, dtest)# Convert probabilities to binary labels based on the threshold
threshold <- 0.5
test_predicted_labels <- ifelse(test_predictions > threshold, 1, 0)
err <- mean(as.numeric(test_predictions > 0.5) != df_test$isDefault)
print(paste("test-error=", err))## [1] "test-error= 0.36544375"# Add predicted labels to the test dataset
df_test$predicted_isDefault <- test_predicted_labelsEvaluate the Performance with accuracy, precision, recall and F1-score
# Calculate accuracy
test_accuracy <- mean(df_test$predicted_isDefault == df_test$isDefault)# Calculate F1 Score
true_labels <- df_test$isDefault
predicted_labels <- df_test$predicted_isDefault# Confusion matrix
conf_matrix <- table(true_labels, predicted_labels)
conf_matrix## predicted_labels
## true_labels 0 1
## 0 80270 47946
## 1 10525 21259# Calculate precision, recall, and F1 score
precision <- conf_matrix[2, 2] / sum(conf_matrix[, 2])
recall <- conf_matrix[2, 2] / sum(conf_matrix[2, ])
f1_score <- 2 * (precision * recall) / (precision + recall)
cat("Test Set Accuracy:", test_accuracy, "\n")## Test Set Accuracy: 0.6345563cat("Test Set precision:", precision, "\n")## Test Set precision: 0.3071888cat("Test Set recall:", recall, "\n")## Test Set recall: 0.6688585cat("Test Set f1_score:", f1_score, "\n")## Test Set f1_score: 0.4210162To check overfitting
# Example using xgb.cv for cross-validation
cv_results <- xgb.cv(
data = dtrain,
params = params_set2,
nfold = 10, # Number of folds in cross-validation
metrics = "logloss",
early_stopping_rounds = 100,
print_every_n = 5,
nrounds=50
)## [1] train-logloss:0.681781+0.000789 test-logloss:0.681880+0.000845
## Multiple eval metrics are present. Will use test_logloss for early stopping.
## Will train until test_logloss hasn't improved in 100 rounds.
##
## [6] train-logloss:0.647708+0.000710 test-logloss:0.648385+0.000902
## [11] train-logloss:0.633411+0.000209 test-logloss:0.634626+0.000770
## [16] train-logloss:0.626721+0.000307 test-logloss:0.628407+0.000847
## [21] train-logloss:0.623273+0.000298 test-logloss:0.625440+0.000891
## [26] train-logloss:0.621300+0.000324 test-logloss:0.623911+0.000933
## [31] train-logloss:0.619951+0.000352 test-logloss:0.623026+0.000957
## [36] train-logloss:0.618871+0.000316 test-logloss:0.622343+0.001022
## [41] train-logloss:0.617984+0.000290 test-logloss:0.621855+0.000995
## [46] train-logloss:0.617212+0.000310 test-logloss:0.621484+0.000957
## [50] train-logloss:0.616680+0.000292 test-logloss:0.621244+0.000964In conclusion, the LightGBM is the best model with the outstanding performance compare to random forest, XGBoost and Logistic Regression.