CUNY Data 605 - Final
Peter Kowalchuk
5/6/2019
library(purrr)
library(tidyr)
library(ggplot2)
library(Hmisc)## Warning: package 'Hmisc' was built under R version 3.5.2## Loading required package: lattice## Loading required package: survival## Loading required package: Formula##
## Attaching package: 'Hmisc'## The following objects are masked from 'package:base':
##
## format.pval, unitslibrary(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:Hmisc':
##
## src, summarize## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(corrplot)## corrplot 0.84 loadedlibrary(kableExtra)Computational Mathematics
Problem 1
Using R, generate a random variable X that has 10,000 random uniform numbers from 1 to N, where N can be any number of your choosing greater than or equal to 6. Then generate a random variable Y that has 10,000 random normal numbers with a mean of \(\mu = \sigma = (N+1)/2\).
Random Variable X
N<-8
n<-10000
X<-runif(n,min=0,max=N)
hist(X)
Random Variable Y
Y<-rnorm(n,(N+1)/2,(N+1)/2)
hist(Y)
abline(v=(N+1)/2,col="red")
Probability
Calculate as a minimum the below probabilities a through c. Assume the small letter “x” is estimated as the median of the X variable, and the small letter “y” is estimated as the 1st quartile of the Y variable. Interpret the meaning of all probabilities.
x<-median(X)
round(x,2)## [1] 4.05y<-quantile(Y,0.25)[[1]]
round(y,2)## [1] 1.43- \(P(X>x \ | \ X>y)\)
Probability that X is greater than its median given that X is greater than the first quartile of Y
\[P(X>x \ | \ X>y) = \frac{P(X>x \ , \ X>y)}{P(X>y)}\]
Pxxandxy<-sum(X>x & X>y)/n #all the X greater than x and greater than y divided by all possible X
round(Pxxandxy,2)## [1] 0.5Pxy<-sum(X>y)/n #all x greater than y divided by all possible X
round(Pxy,2)## [1] 0.82Pxxgivenxy=Pxxandxy/Pxy
round(Pxxgivenxy,2)## [1] 0.61- \(P(X>x, Y>y)\)
Probability that X is grater than all possible x and Y is greater than all possible y
Pxxyy<-(sum(X>x & Y>y))/n
round(Pxxyy,2)## [1] 0.38- \(P(X<x | X>y)\)
Probability of X greater than its median and greater than the first quantile of Y
\[P(X<x \ | \ X>y) = \frac{P(X<x \ , \ X>y)}{P(X>y)}\]
Pxxandxy<-sum(X<x & X>y)/n
round(Pxxandxy,2)## [1] 0.32Pxy<-sum(X>y)/n
round(Pxy,2)## [1] 0.82Pxxgivenxy<-Pxxandxy/Pxy
round(Pxxgivenxy,2)## [1] 0.39Independance
Investigate whether \(P(X>x \ and \ Y>y)=P(X>x)P(Y>y)\) by building a table and evaluating the marginal and joint probabilities.
We start by building the contingency table with samples/observation of X and Y
m<-matrix( c(sum(X>x & Y<y),sum(X>x & Y>y), sum(X<x & Y<y),sum(X<x & Y>y)), nrow = 2,ncol = 2)
m<-cbind(m,c(m[1,1]+m[1,2],m[2,1]+m[2,2]))
m<-rbind(m,c(m[1,1]+m[2,1],m[1,2]+m[2,2],m[1,3]+m[2,3]))
contingency<-as.data.frame(m)
names(contingency) <- c("X>x","X<x", "Total")
row.names(contingency) <- c("Y<y","Y>y", "Total")
kable(contingency) %>%
kable_styling(bootstrap_options = "bordered")| X>x | X<x | Total | |
|---|---|---|---|
| Y<y | 1239 | 1261 | 2500 |
| Y>y | 3761 | 3739 | 7500 |
| Total | 5000 | 5000 | 10000 |
We can now compute the table with probabilities.
mp<-m/m[3,3]
contingency_p<-as.data.frame(mp)
names(contingency_p) <- c("X>x","X<x", "Total")
row.names(contingency_p) <- c("Y<y","Y>y", "Total")
kable(round(contingency_p,2)) %>%
kable_styling(bootstrap_options = "bordered")| X>x | X<x | Total | |
|---|---|---|---|
| Y<y | 0.12 | 0.13 | 0.25 |
| Y>y | 0.38 | 0.37 | 0.75 |
| Total | 0.50 | 0.50 | 1.00 |
Now if we compute \(P(X>x \ and \ Y>y)\) as \(P(X>x)P(Y>y)\) we can compare against results in the table
P<-round((sum(X>x)/n)*(sum(Y<y)/n),2)
P## [1] 0.12round(P,2)==round(mp[1,1],2)## [1] TRUEP<-round((sum(X>x)/n)*(sum(Y>y)/n),2)
P## [1] 0.38round(P,2)==round(mp[2,1],2)## [1] TRUEP<-round((sum(X<x)/n)*(sum(Y<y)/n),2)
P## [1] 0.12round(P,2)==round(mp[1,2],2)## [1] FALSEP<-round((sum(X<x)/n)*(sum(Y>y)/n),2)
P## [1] 0.38round(P,2)==round(mp[2,2],2)## [1] FALSEWe find that the results are very similar, so we therefore conclude they are in truth independent. (Note: running the X and Y simulation will sometimes give results that are completely equal or very close)
We run both a fisher and a chi-test. In both of these we state a null hypotheses that the two variables are independent, and a alternative stating that there is dependence.
fisher.test(m,simulate.p.value=TRUE)##
## Fisher's Exact Test for Count Data with simulated p-value (based
## on 2000 replicates)
##
## data: m
## p-value = 0.9905
## alternative hypothesis: two.sidedchisq.test(m, correct=TRUE)##
## Pearson's Chi-squared test
##
## data: m
## X-squared = 0.25813, df = 4, p-value = 0.9924In both cases the p-value is much greater than a reasonable threshold of 0.05, or even 0.1. So we do not reject the null hypothesis of independence and conclude that they are in fact independent (association is not statistically significant). The chi test is better suited for large samples as we have here. (Note: running the X and Y simulation will sometimes give results with p-values at or very close to 1, but in any case they are greater than the reasonable threshold)
Problem 2
You are to register for Kaggle.com (free) and compete in the House Prices: Advanced Regression Techniques competition. https://www.kaggle.com/c/house-prices-advanced-regression-techniques . I want you to do the following.
Descriptive and Inferential Statistics. Provide univariate descriptive statistics and appropriate plots for the training data set. Provide a scatterplot matrix for at least two of the independent variables and the dependent variable. Derive a correlation matrix for any three quantitative variables in the dataset. Test the hypotheses that the correlations between each pairwise set of variables is 0 and provide an 80% confidence interval. Discuss the meaning of your analysis. Would you be worried about familywise error? Why or why not?
train<-read.csv("data/train.csv",header=TRUE,stringsAsFactors=FALSE)Descriptive Statistics
Provide univariate descriptive statistics and appropriate plots for the training data set.
We first identify the labels of the data we are working with.
colnames(train)## [1] "Id" "MSSubClass" "MSZoning" "LotFrontage"
## [5] "LotArea" "Street" "Alley" "LotShape"
## [9] "LandContour" "Utilities" "LotConfig" "LandSlope"
## [13] "Neighborhood" "Condition1" "Condition2" "BldgType"
## [17] "HouseStyle" "OverallQual" "OverallCond" "YearBuilt"
## [21] "YearRemodAdd" "RoofStyle" "RoofMatl" "Exterior1st"
## [25] "Exterior2nd" "MasVnrType" "MasVnrArea" "ExterQual"
## [29] "ExterCond" "Foundation" "BsmtQual" "BsmtCond"
## [33] "BsmtExposure" "BsmtFinType1" "BsmtFinSF1" "BsmtFinType2"
## [37] "BsmtFinSF2" "BsmtUnfSF" "TotalBsmtSF" "Heating"
## [41] "HeatingQC" "CentralAir" "Electrical" "X1stFlrSF"
## [45] "X2ndFlrSF" "LowQualFinSF" "GrLivArea" "BsmtFullBath"
## [49] "BsmtHalfBath" "FullBath" "HalfBath" "BedroomAbvGr"
## [53] "KitchenAbvGr" "KitchenQual" "TotRmsAbvGrd" "Functional"
## [57] "Fireplaces" "FireplaceQu" "GarageType" "GarageYrBlt"
## [61] "GarageFinish" "GarageCars" "GarageArea" "GarageQual"
## [65] "GarageCond" "PavedDrive" "WoodDeckSF" "OpenPorchSF"
## [69] "EnclosedPorch" "X3SsnPorch" "ScreenPorch" "PoolArea"
## [73] "PoolQC" "Fence" "MiscFeature" "MiscVal"
## [77] "MoSold" "YrSold" "SaleType" "SaleCondition"
## [81] "SalePrice"Then we run a histogram of all the variables to identify interesting features. For example, the data shows how many homes had their garages built between 1950 and 1980, but then there was a large dip, with a high spike right before 2010, this probably correlates with the number of auto sales in those periods.
#plot histogram of all numeric variables
train %>%
keep(is.numeric) %>%
gather() %>%
ggplot(aes(value)) +
facet_wrap(~ key, scales = "free",ncol=4) +
theme( axis.text.x = element_text(angle = 90)) +
geom_histogram()## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.## Warning: Removed 348 rows containing non-finite values (stat_bin).
To see the descriptive statistics we can use both the summary and describe functions, they both produce slightly different data. Of particular interest is describe showing the number of nulls.
summary(train)## Id MSSubClass MSZoning LotFrontage
## Min. : 1.0 Min. : 20.0 Length:1460 Min. : 21.00
## 1st Qu.: 365.8 1st Qu.: 20.0 Class :character 1st Qu.: 59.00
## Median : 730.5 Median : 50.0 Mode :character Median : 69.00
## Mean : 730.5 Mean : 56.9 Mean : 70.05
## 3rd Qu.:1095.2 3rd Qu.: 70.0 3rd Qu.: 80.00
## Max. :1460.0 Max. :190.0 Max. :313.00
## NA's :259
## LotArea Street Alley LotShape
## Min. : 1300 Length:1460 Length:1460 Length:1460
## 1st Qu.: 7554 Class :character Class :character Class :character
## Median : 9478 Mode :character Mode :character Mode :character
## Mean : 10517
## 3rd Qu.: 11602
## Max. :215245
##
## LandContour Utilities LotConfig
## Length:1460 Length:1460 Length:1460
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## LandSlope Neighborhood Condition1
## Length:1460 Length:1460 Length:1460
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## Condition2 BldgType HouseStyle OverallQual
## Length:1460 Length:1460 Length:1460 Min. : 1.000
## Class :character Class :character Class :character 1st Qu.: 5.000
## Mode :character Mode :character Mode :character Median : 6.000
## Mean : 6.099
## 3rd Qu.: 7.000
## Max. :10.000
##
## OverallCond YearBuilt YearRemodAdd RoofStyle
## Min. :1.000 Min. :1872 Min. :1950 Length:1460
## 1st Qu.:5.000 1st Qu.:1954 1st Qu.:1967 Class :character
## Median :5.000 Median :1973 Median :1994 Mode :character
## Mean :5.575 Mean :1971 Mean :1985
## 3rd Qu.:6.000 3rd Qu.:2000 3rd Qu.:2004
## Max. :9.000 Max. :2010 Max. :2010
##
## RoofMatl Exterior1st Exterior2nd
## Length:1460 Length:1460 Length:1460
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## MasVnrType MasVnrArea ExterQual ExterCond
## Length:1460 Min. : 0.0 Length:1460 Length:1460
## Class :character 1st Qu.: 0.0 Class :character Class :character
## Mode :character Median : 0.0 Mode :character Mode :character
## Mean : 103.7
## 3rd Qu.: 166.0
## Max. :1600.0
## NA's :8
## Foundation BsmtQual BsmtCond
## Length:1460 Length:1460 Length:1460
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## BsmtExposure BsmtFinType1 BsmtFinSF1 BsmtFinType2
## Length:1460 Length:1460 Min. : 0.0 Length:1460
## Class :character Class :character 1st Qu.: 0.0 Class :character
## Mode :character Mode :character Median : 383.5 Mode :character
## Mean : 443.6
## 3rd Qu.: 712.2
## Max. :5644.0
##
## BsmtFinSF2 BsmtUnfSF TotalBsmtSF Heating
## Min. : 0.00 Min. : 0.0 Min. : 0.0 Length:1460
## 1st Qu.: 0.00 1st Qu.: 223.0 1st Qu.: 795.8 Class :character
## Median : 0.00 Median : 477.5 Median : 991.5 Mode :character
## Mean : 46.55 Mean : 567.2 Mean :1057.4
## 3rd Qu.: 0.00 3rd Qu.: 808.0 3rd Qu.:1298.2
## Max. :1474.00 Max. :2336.0 Max. :6110.0
##
## HeatingQC CentralAir Electrical X1stFlrSF
## Length:1460 Length:1460 Length:1460 Min. : 334
## Class :character Class :character Class :character 1st Qu.: 882
## Mode :character Mode :character Mode :character Median :1087
## Mean :1163
## 3rd Qu.:1391
## Max. :4692
##
## X2ndFlrSF LowQualFinSF GrLivArea BsmtFullBath
## Min. : 0 Min. : 0.000 Min. : 334 Min. :0.0000
## 1st Qu.: 0 1st Qu.: 0.000 1st Qu.:1130 1st Qu.:0.0000
## Median : 0 Median : 0.000 Median :1464 Median :0.0000
## Mean : 347 Mean : 5.845 Mean :1515 Mean :0.4253
## 3rd Qu.: 728 3rd Qu.: 0.000 3rd Qu.:1777 3rd Qu.:1.0000
## Max. :2065 Max. :572.000 Max. :5642 Max. :3.0000
##
## BsmtHalfBath FullBath HalfBath BedroomAbvGr
## Min. :0.00000 Min. :0.000 Min. :0.0000 Min. :0.000
## 1st Qu.:0.00000 1st Qu.:1.000 1st Qu.:0.0000 1st Qu.:2.000
## Median :0.00000 Median :2.000 Median :0.0000 Median :3.000
## Mean :0.05753 Mean :1.565 Mean :0.3829 Mean :2.866
## 3rd Qu.:0.00000 3rd Qu.:2.000 3rd Qu.:1.0000 3rd Qu.:3.000
## Max. :2.00000 Max. :3.000 Max. :2.0000 Max. :8.000
##
## KitchenAbvGr KitchenQual TotRmsAbvGrd Functional
## Min. :0.000 Length:1460 Min. : 2.000 Length:1460
## 1st Qu.:1.000 Class :character 1st Qu.: 5.000 Class :character
## Median :1.000 Mode :character Median : 6.000 Mode :character
## Mean :1.047 Mean : 6.518
## 3rd Qu.:1.000 3rd Qu.: 7.000
## Max. :3.000 Max. :14.000
##
## Fireplaces FireplaceQu GarageType GarageYrBlt
## Min. :0.000 Length:1460 Length:1460 Min. :1900
## 1st Qu.:0.000 Class :character Class :character 1st Qu.:1961
## Median :1.000 Mode :character Mode :character Median :1980
## Mean :0.613 Mean :1979
## 3rd Qu.:1.000 3rd Qu.:2002
## Max. :3.000 Max. :2010
## NA's :81
## GarageFinish GarageCars GarageArea GarageQual
## Length:1460 Min. :0.000 Min. : 0.0 Length:1460
## Class :character 1st Qu.:1.000 1st Qu.: 334.5 Class :character
## Mode :character Median :2.000 Median : 480.0 Mode :character
## Mean :1.767 Mean : 473.0
## 3rd Qu.:2.000 3rd Qu.: 576.0
## Max. :4.000 Max. :1418.0
##
## GarageCond PavedDrive WoodDeckSF OpenPorchSF
## Length:1460 Length:1460 Min. : 0.00 Min. : 0.00
## Class :character Class :character 1st Qu.: 0.00 1st Qu.: 0.00
## Mode :character Mode :character Median : 0.00 Median : 25.00
## Mean : 94.24 Mean : 46.66
## 3rd Qu.:168.00 3rd Qu.: 68.00
## Max. :857.00 Max. :547.00
##
## EnclosedPorch X3SsnPorch ScreenPorch PoolArea
## Min. : 0.00 Min. : 0.00 Min. : 0.00 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0.000
## Median : 0.00 Median : 0.00 Median : 0.00 Median : 0.000
## Mean : 21.95 Mean : 3.41 Mean : 15.06 Mean : 2.759
## 3rd Qu.: 0.00 3rd Qu.: 0.00 3rd Qu.: 0.00 3rd Qu.: 0.000
## Max. :552.00 Max. :508.00 Max. :480.00 Max. :738.000
##
## PoolQC Fence MiscFeature
## Length:1460 Length:1460 Length:1460
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## MiscVal MoSold YrSold SaleType
## Min. : 0.00 Min. : 1.000 Min. :2006 Length:1460
## 1st Qu.: 0.00 1st Qu.: 5.000 1st Qu.:2007 Class :character
## Median : 0.00 Median : 6.000 Median :2008 Mode :character
## Mean : 43.49 Mean : 6.322 Mean :2008
## 3rd Qu.: 0.00 3rd Qu.: 8.000 3rd Qu.:2009
## Max. :15500.00 Max. :12.000 Max. :2010
##
## SaleCondition SalePrice
## Length:1460 Min. : 34900
## Class :character 1st Qu.:129975
## Mode :character Median :163000
## Mean :180921
## 3rd Qu.:214000
## Max. :755000
## describe(train)## train
##
## 81 Variables 1460 Observations
## ---------------------------------------------------------------------------
## Id
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 1460 1 730.5 487 73.95 146.90
## .25 .50 .75 .90 .95
## 365.75 730.50 1095.25 1314.10 1387.05
##
## lowest : 1 2 3 4 5, highest: 1456 1457 1458 1459 1460
## ---------------------------------------------------------------------------
## MSSubClass
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 15 0.94 56.9 43.19 20 20
## .25 .50 .75 .90 .95
## 20 50 70 120 160
##
## Value 20 30 40 45 50 60 70 75 80 85
## Frequency 536 69 4 12 144 299 60 16 58 20
## Proportion 0.367 0.047 0.003 0.008 0.099 0.205 0.041 0.011 0.040 0.014
##
## Value 90 120 160 180 190
## Frequency 52 87 63 10 30
## Proportion 0.036 0.060 0.043 0.007 0.021
## ---------------------------------------------------------------------------
## MSZoning
## n missing distinct
## 1460 0 5
##
## Value C (all) FV RH RL RM
## Frequency 10 65 16 1151 218
## Proportion 0.007 0.045 0.011 0.788 0.149
## ---------------------------------------------------------------------------
## LotFrontage
## n missing distinct Info Mean Gmd .05 .10
## 1201 259 110 0.998 70.05 24.61 34 44
## .25 .50 .75 .90 .95
## 59 69 80 96 107
##
## lowest : 21 24 30 32 33, highest: 160 168 174 182 313
## ---------------------------------------------------------------------------
## LotArea
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 1073 1 10517 5718 3312 5000
## .25 .50 .75 .90 .95
## 7554 9478 11602 14382 17401
##
## lowest : 1300 1477 1491 1526 1533, highest: 70761 115149 159000 164660 215245
## ---------------------------------------------------------------------------
## Street
## n missing distinct
## 1460 0 2
##
## Value Grvl Pave
## Frequency 6 1454
## Proportion 0.004 0.996
## ---------------------------------------------------------------------------
## Alley
## n missing distinct
## 91 1369 2
##
## Value Grvl Pave
## Frequency 50 41
## Proportion 0.549 0.451
## ---------------------------------------------------------------------------
## LotShape
## n missing distinct
## 1460 0 4
##
## Value IR1 IR2 IR3 Reg
## Frequency 484 41 10 925
## Proportion 0.332 0.028 0.007 0.634
## ---------------------------------------------------------------------------
## LandContour
## n missing distinct
## 1460 0 4
##
## Value Bnk HLS Low Lvl
## Frequency 63 50 36 1311
## Proportion 0.043 0.034 0.025 0.898
## ---------------------------------------------------------------------------
## Utilities
## n missing distinct
## 1460 0 2
##
## Value AllPub NoSeWa
## Frequency 1459 1
## Proportion 0.999 0.001
## ---------------------------------------------------------------------------
## LotConfig
## n missing distinct
## 1460 0 5
##
## Value Corner CulDSac FR2 FR3 Inside
## Frequency 263 94 47 4 1052
## Proportion 0.180 0.064 0.032 0.003 0.721
## ---------------------------------------------------------------------------
## LandSlope
## n missing distinct
## 1460 0 3
##
## Value Gtl Mod Sev
## Frequency 1382 65 13
## Proportion 0.947 0.045 0.009
## ---------------------------------------------------------------------------
## Neighborhood
## n missing distinct
## 1460 0 25
##
## lowest : Blmngtn Blueste BrDale BrkSide ClearCr
## highest: Somerst StoneBr SWISU Timber Veenker
## ---------------------------------------------------------------------------
## Condition1
## n missing distinct
## 1460 0 9
##
## Value Artery Feedr Norm PosA PosN RRAe RRAn RRNe RRNn
## Frequency 48 81 1260 8 19 11 26 2 5
## Proportion 0.033 0.055 0.863 0.005 0.013 0.008 0.018 0.001 0.003
## ---------------------------------------------------------------------------
## Condition2
## n missing distinct
## 1460 0 8
##
## Value Artery Feedr Norm PosA PosN RRAe RRAn RRNn
## Frequency 2 6 1445 1 2 1 1 2
## Proportion 0.001 0.004 0.990 0.001 0.001 0.001 0.001 0.001
## ---------------------------------------------------------------------------
## BldgType
## n missing distinct
## 1460 0 5
##
## Value 1Fam 2fmCon Duplex Twnhs TwnhsE
## Frequency 1220 31 52 43 114
## Proportion 0.836 0.021 0.036 0.029 0.078
## ---------------------------------------------------------------------------
## HouseStyle
## n missing distinct
## 1460 0 8
##
## Value 1.5Fin 1.5Unf 1Story 2.5Fin 2.5Unf 2Story SFoyer SLvl
## Frequency 154 14 726 8 11 445 37 65
## Proportion 0.105 0.010 0.497 0.005 0.008 0.305 0.025 0.045
## ---------------------------------------------------------------------------
## OverallQual
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 10 0.951 6.099 1.522 4 5
## .25 .50 .75 .90 .95
## 5 6 7 8 8
##
## Value 1 2 3 4 5 6 7 8 9 10
## Frequency 2 3 20 116 397 374 319 168 43 18
## Proportion 0.001 0.002 0.014 0.079 0.272 0.256 0.218 0.115 0.029 0.012
## ---------------------------------------------------------------------------
## OverallCond
## n missing distinct Info Mean Gmd
## 1460 0 9 0.814 5.575 1.111
##
## Value 1 2 3 4 5 6 7 8 9
## Frequency 1 5 25 57 821 252 205 72 22
## Proportion 0.001 0.003 0.017 0.039 0.562 0.173 0.140 0.049 0.015
## ---------------------------------------------------------------------------
## YearBuilt
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 112 1 1971 33.88 1916 1925
## .25 .50 .75 .90 .95
## 1954 1973 2000 2006 2007
##
## lowest : 1872 1875 1880 1882 1885, highest: 2006 2007 2008 2009 2010
## ---------------------------------------------------------------------------
## YearRemodAdd
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 61 0.997 1985 23.05 1950 1950
## .25 .50 .75 .90 .95
## 1967 1994 2004 2006 2007
##
## lowest : 1950 1951 1952 1953 1954, highest: 2006 2007 2008 2009 2010
## ---------------------------------------------------------------------------
## RoofStyle
## n missing distinct
## 1460 0 6
##
## Value Flat Gable Gambrel Hip Mansard Shed
## Frequency 13 1141 11 286 7 2
## Proportion 0.009 0.782 0.008 0.196 0.005 0.001
## ---------------------------------------------------------------------------
## RoofMatl
## n missing distinct
## 1460 0 8
##
## Value ClyTile CompShg Membran Metal Roll Tar&Grv WdShake WdShngl
## Frequency 1 1434 1 1 1 11 5 6
## Proportion 0.001 0.982 0.001 0.001 0.001 0.008 0.003 0.004
## ---------------------------------------------------------------------------
## Exterior1st
## n missing distinct
## 1460 0 15
##
## Value AsbShng AsphShn BrkComm BrkFace CBlock CemntBd HdBoard ImStucc
## Frequency 20 1 2 50 1 61 222 1
## Proportion 0.014 0.001 0.001 0.034 0.001 0.042 0.152 0.001
##
## Value MetalSd Plywood Stone Stucco VinylSd Wd Sdng WdShing
## Frequency 220 108 2 25 515 206 26
## Proportion 0.151 0.074 0.001 0.017 0.353 0.141 0.018
## ---------------------------------------------------------------------------
## Exterior2nd
## n missing distinct
## 1460 0 16
##
## Value AsbShng AsphShn Brk Cmn BrkFace CBlock CmentBd HdBoard ImStucc
## Frequency 20 3 7 25 1 60 207 10
## Proportion 0.014 0.002 0.005 0.017 0.001 0.041 0.142 0.007
##
## Value MetalSd Other Plywood Stone Stucco VinylSd Wd Sdng Wd Shng
## Frequency 214 1 142 5 26 504 197 38
## Proportion 0.147 0.001 0.097 0.003 0.018 0.345 0.135 0.026
## ---------------------------------------------------------------------------
## MasVnrType
## n missing distinct
## 1452 8 4
##
## Value BrkCmn BrkFace None Stone
## Frequency 15 445 864 128
## Proportion 0.010 0.306 0.595 0.088
## ---------------------------------------------------------------------------
## MasVnrArea
## n missing distinct Info Mean Gmd .05 .10
## 1452 8 327 0.791 103.7 156.9 0 0
## .25 .50 .75 .90 .95
## 0 0 166 335 456
##
## lowest : 0 1 11 14 16, highest: 1115 1129 1170 1378 1600
## ---------------------------------------------------------------------------
## ExterQual
## n missing distinct
## 1460 0 4
##
## Value Ex Fa Gd TA
## Frequency 52 14 488 906
## Proportion 0.036 0.010 0.334 0.621
## ---------------------------------------------------------------------------
## ExterCond
## n missing distinct
## 1460 0 5
##
## Value Ex Fa Gd Po TA
## Frequency 3 28 146 1 1282
## Proportion 0.002 0.019 0.100 0.001 0.878
## ---------------------------------------------------------------------------
## Foundation
## n missing distinct
## 1460 0 6
##
## Value BrkTil CBlock PConc Slab Stone Wood
## Frequency 146 634 647 24 6 3
## Proportion 0.100 0.434 0.443 0.016 0.004 0.002
## ---------------------------------------------------------------------------
## BsmtQual
## n missing distinct
## 1423 37 4
##
## Value Ex Fa Gd TA
## Frequency 121 35 618 649
## Proportion 0.085 0.025 0.434 0.456
## ---------------------------------------------------------------------------
## BsmtCond
## n missing distinct
## 1423 37 4
##
## Value Fa Gd Po TA
## Frequency 45 65 2 1311
## Proportion 0.032 0.046 0.001 0.921
## ---------------------------------------------------------------------------
## BsmtExposure
## n missing distinct
## 1422 38 4
##
## Value Av Gd Mn No
## Frequency 221 134 114 953
## Proportion 0.155 0.094 0.080 0.670
## ---------------------------------------------------------------------------
## BsmtFinType1
## n missing distinct
## 1423 37 6
##
## Value ALQ BLQ GLQ LwQ Rec Unf
## Frequency 220 148 418 74 133 430
## Proportion 0.155 0.104 0.294 0.052 0.093 0.302
## ---------------------------------------------------------------------------
## BsmtFinSF1
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 637 0.967 443.6 484.5 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 383.5 712.2 1065.5 1274.0
##
## lowest : 0 2 16 20 24, highest: 1904 2096 2188 2260 5644
## ---------------------------------------------------------------------------
## BsmtFinType2
## n missing distinct
## 1422 38 6
##
## Value ALQ BLQ GLQ LwQ Rec Unf
## Frequency 19 33 14 46 54 1256
## Proportion 0.013 0.023 0.010 0.032 0.038 0.883
## ---------------------------------------------------------------------------
## BsmtFinSF2
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 144 0.305 46.55 86.58 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 0.0 0.0 117.2 396.2
##
## lowest : 0 28 32 35 40, highest: 1080 1085 1120 1127 1474
## ---------------------------------------------------------------------------
## BsmtUnfSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 780 0.999 567.2 486.6 0.0 74.9
## .25 .50 .75 .90 .95
## 223.0 477.5 808.0 1232.0 1468.0
##
## lowest : 0 14 15 23 26, highest: 2042 2046 2121 2153 2336
## ---------------------------------------------------------------------------
## TotalBsmtSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 721 1 1057 459.5 519.3 636.9
## .25 .50 .75 .90 .95
## 795.8 991.5 1298.2 1602.2 1753.0
##
## lowest : 0 105 190 264 270, highest: 3094 3138 3200 3206 6110
## ---------------------------------------------------------------------------
## Heating
## n missing distinct
## 1460 0 6
##
## Value Floor GasA GasW Grav OthW Wall
## Frequency 1 1428 18 7 2 4
## Proportion 0.001 0.978 0.012 0.005 0.001 0.003
## ---------------------------------------------------------------------------
## HeatingQC
## n missing distinct
## 1460 0 5
##
## Value Ex Fa Gd Po TA
## Frequency 741 49 241 1 428
## Proportion 0.508 0.034 0.165 0.001 0.293
## ---------------------------------------------------------------------------
## CentralAir
## n missing distinct
## 1460 0 2
##
## Value N Y
## Frequency 95 1365
## Proportion 0.065 0.935
## ---------------------------------------------------------------------------
## Electrical
## n missing distinct
## 1459 1 5
##
## Value FuseA FuseF FuseP Mix SBrkr
## Frequency 94 27 3 1 1334
## Proportion 0.064 0.019 0.002 0.001 0.914
## ---------------------------------------------------------------------------
## X1stFlrSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 753 1 1163 416.4 673.0 756.9
## .25 .50 .75 .90 .95
## 882.0 1087.0 1391.2 1680.0 1831.2
##
## lowest : 334 372 438 480 483, highest: 2633 2898 3138 3228 4692
## ---------------------------------------------------------------------------
## X2ndFlrSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 417 0.817 347 450.2 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 0.0 728.0 954.2 1141.0
##
## lowest : 0 110 167 192 208, highest: 1611 1796 1818 1872 2065
## ---------------------------------------------------------------------------
## LowQualFinSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 24 0.052 5.845 11.55 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 0
##
## lowest : 0 53 80 120 144, highest: 513 514 515 528 572
## ---------------------------------------------------------------------------
## GrLivArea
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 861 1 1515 563.1 848 912
## .25 .50 .75 .90 .95
## 1130 1464 1777 2158 2466
##
## lowest : 334 438 480 520 605, highest: 3627 4316 4476 4676 5642
## ---------------------------------------------------------------------------
## BsmtFullBath
## n missing distinct Info Mean Gmd
## 1460 0 4 0.733 0.4253 0.5085
##
## Value 0 1 2 3
## Frequency 856 588 15 1
## Proportion 0.586 0.403 0.010 0.001
## ---------------------------------------------------------------------------
## BsmtHalfBath
## n missing distinct Info Mean Gmd
## 1460 0 3 0.159 0.05753 0.1088
##
## Value 0 1 2
## Frequency 1378 80 2
## Proportion 0.944 0.055 0.001
## ---------------------------------------------------------------------------
## FullBath
## n missing distinct Info Mean Gmd
## 1460 0 4 0.766 1.565 0.5521
##
## Value 0 1 2 3
## Frequency 9 650 768 33
## Proportion 0.006 0.445 0.526 0.023
## ---------------------------------------------------------------------------
## HalfBath
## n missing distinct Info Mean Gmd
## 1460 0 3 0.706 0.3829 0.4852
##
## Value 0 1 2
## Frequency 913 535 12
## Proportion 0.625 0.366 0.008
## ---------------------------------------------------------------------------
## BedroomAbvGr
## n missing distinct Info Mean Gmd
## 1460 0 8 0.815 2.866 0.818
##
## Value 0 1 2 3 4 5 6 8
## Frequency 6 50 358 804 213 21 7 1
## Proportion 0.004 0.034 0.245 0.551 0.146 0.014 0.005 0.001
## ---------------------------------------------------------------------------
## KitchenAbvGr
## n missing distinct Info Mean Gmd
## 1460 0 4 0.133 1.047 0.09174
##
## Value 0 1 2 3
## Frequency 1 1392 65 2
## Proportion 0.001 0.953 0.045 0.001
## ---------------------------------------------------------------------------
## KitchenQual
## n missing distinct
## 1460 0 4
##
## Value Ex Fa Gd TA
## Frequency 100 39 586 735
## Proportion 0.068 0.027 0.401 0.503
## ---------------------------------------------------------------------------
## TotRmsAbvGrd
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 12 0.958 6.518 1.762 4 5
## .25 .50 .75 .90 .95
## 5 6 7 9 10
##
## Value 2 3 4 5 6 7 8 9 10 11
## Frequency 1 17 97 275 402 329 187 75 47 18
## Proportion 0.001 0.012 0.066 0.188 0.275 0.225 0.128 0.051 0.032 0.012
##
## Value 12 14
## Frequency 11 1
## Proportion 0.008 0.001
## ---------------------------------------------------------------------------
## Functional
## n missing distinct
## 1460 0 7
##
## Value Maj1 Maj2 Min1 Min2 Mod Sev Typ
## Frequency 14 5 31 34 15 1 1360
## Proportion 0.010 0.003 0.021 0.023 0.010 0.001 0.932
## ---------------------------------------------------------------------------
## Fireplaces
## n missing distinct Info Mean Gmd
## 1460 0 4 0.806 0.613 0.6566
##
## Value 0 1 2 3
## Frequency 690 650 115 5
## Proportion 0.473 0.445 0.079 0.003
## ---------------------------------------------------------------------------
## FireplaceQu
## n missing distinct
## 770 690 5
##
## Value Ex Fa Gd Po TA
## Frequency 24 33 380 20 313
## Proportion 0.031 0.043 0.494 0.026 0.406
## ---------------------------------------------------------------------------
## GarageType
## n missing distinct
## 1379 81 6
##
## Value 2Types Attchd Basment BuiltIn CarPort Detchd
## Frequency 6 870 19 88 9 387
## Proportion 0.004 0.631 0.014 0.064 0.007 0.281
## ---------------------------------------------------------------------------
## GarageYrBlt
## n missing distinct Info Mean Gmd .05 .10
## 1379 81 97 1 1979 27.63 1930 1945
## .25 .50 .75 .90 .95
## 1961 1980 2002 2006 2007
##
## lowest : 1900 1906 1908 1910 1914, highest: 2006 2007 2008 2009 2010
## ---------------------------------------------------------------------------
## GarageFinish
## n missing distinct
## 1379 81 3
##
## Value Fin RFn Unf
## Frequency 352 422 605
## Proportion 0.255 0.306 0.439
## ---------------------------------------------------------------------------
## GarageCars
## n missing distinct Info Mean Gmd
## 1460 0 5 0.802 1.767 0.7609
##
## Value 0 1 2 3 4
## Frequency 81 369 824 181 5
## Proportion 0.055 0.253 0.564 0.124 0.003
## ---------------------------------------------------------------------------
## GarageArea
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 441 1 473 234.9 0.0 240.0
## .25 .50 .75 .90 .95
## 334.5 480.0 576.0 757.1 850.1
##
## lowest : 0 160 164 180 186, highest: 1220 1248 1356 1390 1418
## ---------------------------------------------------------------------------
## GarageQual
## n missing distinct
## 1379 81 5
##
## Value Ex Fa Gd Po TA
## Frequency 3 48 14 3 1311
## Proportion 0.002 0.035 0.010 0.002 0.951
## ---------------------------------------------------------------------------
## GarageCond
## n missing distinct
## 1379 81 5
##
## Value Ex Fa Gd Po TA
## Frequency 2 35 9 7 1326
## Proportion 0.001 0.025 0.007 0.005 0.962
## ---------------------------------------------------------------------------
## PavedDrive
## n missing distinct
## 1460 0 3
##
## Value N P Y
## Frequency 90 30 1340
## Proportion 0.062 0.021 0.918
## ---------------------------------------------------------------------------
## WoodDeckSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 274 0.858 94.24 125 0 0
## .25 .50 .75 .90 .95
## 0 0 168 262 335
##
## lowest : 0 12 24 26 28, highest: 668 670 728 736 857
## ---------------------------------------------------------------------------
## OpenPorchSF
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 202 0.909 46.66 62.43 0 0
## .25 .50 .75 .90 .95
## 0 25 68 130 175
##
## lowest : 0 4 8 10 11, highest: 406 418 502 523 547
## ---------------------------------------------------------------------------
## EnclosedPorch
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 120 0.369 21.95 39.39 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 0.0 0.0 112.0 180.1
##
## lowest : 0 19 20 24 30, highest: 301 318 330 386 552
## ---------------------------------------------------------------------------
## X3SsnPorch
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 20 0.049 3.41 6.739 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 0
##
## Value 0 23 96 130 140 144 153 162 168 180
## Frequency 1436 1 1 1 1 2 1 1 3 2
## Proportion 0.984 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.002 0.001
##
## Value 182 196 216 238 245 290 304 320 407 508
## Frequency 1 1 2 1 1 1 1 1 1 1
## Proportion 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001
## ---------------------------------------------------------------------------
## ScreenPorch
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 76 0.22 15.06 28.27 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 160
##
## lowest : 0 40 53 60 63, highest: 385 396 410 440 480
## ---------------------------------------------------------------------------
## PoolArea
## n missing distinct Info Mean Gmd
## 1460 0 8 0.014 2.759 5.497
##
## Value 0 480 512 519 555 576 648 738
## Frequency 1453 1 1 1 1 1 1 1
## Proportion 0.995 0.001 0.001 0.001 0.001 0.001 0.001 0.001
## ---------------------------------------------------------------------------
## PoolQC
## n missing distinct
## 7 1453 3
##
## Value Ex Fa Gd
## Frequency 2 2 3
## Proportion 0.286 0.286 0.429
## ---------------------------------------------------------------------------
## Fence
## n missing distinct
## 281 1179 4
##
## Value GdPrv GdWo MnPrv MnWw
## Frequency 59 54 157 11
## Proportion 0.210 0.192 0.559 0.039
## ---------------------------------------------------------------------------
## MiscFeature
## n missing distinct
## 54 1406 4
##
## Value Gar2 Othr Shed TenC
## Frequency 2 2 49 1
## Proportion 0.037 0.037 0.907 0.019
## ---------------------------------------------------------------------------
## MiscVal
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 21 0.103 43.49 85.67 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 0
##
## Value 0 50 350 400 450 500 550 600 700 800
## Frequency 1408 1 1 11 4 10 1 5 5 1
## Proportion 0.964 0.001 0.001 0.008 0.003 0.007 0.001 0.003 0.003 0.001
##
## Value 1150 1200 1300 1400 2000 2500 3500 8300 15500
## Frequency 1 2 1 1 4 1 1 1 1
## Proportion 0.001 0.001 0.001 0.001 0.003 0.001 0.001 0.001 0.001
## ---------------------------------------------------------------------------
## MoSold
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 12 0.985 6.322 3.041 2 3
## .25 .50 .75 .90 .95
## 5 6 8 10 11
##
## Value 1 2 3 4 5 6 7 8 9 10
## Frequency 58 52 106 141 204 253 234 122 63 89
## Proportion 0.040 0.036 0.073 0.097 0.140 0.173 0.160 0.084 0.043 0.061
##
## Value 11 12
## Frequency 79 59
## Proportion 0.054 0.040
## ---------------------------------------------------------------------------
## YrSold
## n missing distinct Info Mean Gmd
## 1460 0 5 0.955 2008 1.498
##
## Value 2006 2007 2008 2009 2010
## Frequency 314 329 304 338 175
## Proportion 0.215 0.225 0.208 0.232 0.120
## ---------------------------------------------------------------------------
## SaleType
## n missing distinct
## 1460 0 9
##
## Value COD Con ConLD ConLI ConLw CWD New Oth WD
## Frequency 43 2 9 5 5 4 122 3 1267
## Proportion 0.029 0.001 0.006 0.003 0.003 0.003 0.084 0.002 0.868
## ---------------------------------------------------------------------------
## SaleCondition
## n missing distinct
## 1460 0 6
##
## Value Abnorml AdjLand Alloca Family Normal Partial
## Frequency 101 4 12 20 1198 125
## Proportion 0.069 0.003 0.008 0.014 0.821 0.086
## ---------------------------------------------------------------------------
## SalePrice
## n missing distinct Info Mean Gmd .05 .10
## 1460 0 663 1 180921 81086 88000 106475
## .25 .50 .75 .90 .95
## 129975 163000 214000 278000 326100
##
## lowest : 34900 35311 37900 39300 40000, highest: 582933 611657 625000 745000 755000
## ---------------------------------------------------------------------------Scatter Plots
Provide a scatterplot matrix for at least two of the independent variables and the dependent variable.
ggplot(train, aes(LotArea, GarageArea)) +
geom_point(aes(color=SalePrice)) 
From this plot we can quickly see that homes without a garage have low sales prices. But we can also that the higher priced homes are not necessarily the ones with the highest lot or garage size.
A scattered plot can also help identify a correlation between basement size and sales price.
ggplot(train, aes(LotArea,BsmtUnfSF)) +
geom_point(aes(color=SalePrice)) 
Here best prices seem to be a moderate size basement and lot, not necessarily very large basements or lots. But to keep in mind, basement size can be linked to lot size, something correlation will help identify.
Correlation
Derive a correlation matrix for any three quantitative variables in the dataset.
correlationData<-dplyr::select(train,SalePrice,LotArea,BsmtUnfSF)
correlationMatrix<-round(cor(correlationData),4)
correlationMatrix## SalePrice LotArea BsmtUnfSF
## SalePrice 1.0000 0.2638 0.2145
## LotArea 0.2638 1.0000 -0.0026
## BsmtUnfSF 0.2145 -0.0026 1.0000corrplot(correlationMatrix,method ="color")
The matrix shows that in fact there isn’t a strong correlation between LotArea and Basement Size, with a correlation very close to zero: -0.0026.
We do however find some correlation between these two variables and the Sale Price.
Hypotheses testing
Test the hypotheses that the correlations between each pairwise set of variables is 0 and provide an 80% confidence interval. Discuss the meaning of your analysis.
Sale Price vs Lot Area
With a low P value, we are confident the correlation between these two variables is not zero, and we are 80% confident it is between 0.2323391 and 0.2947946
cor.test(correlationData$SalePrice,correlationData$LotArea, conf.level = 0.8)##
## Pearson's product-moment correlation
##
## data: correlationData$SalePrice and correlationData$LotArea
## t = 10.445, df = 1458, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 80 percent confidence interval:
## 0.2323391 0.2947946
## sample estimates:
## cor
## 0.2638434Sale Price vs Basement Size
With a low P value, we are confident the correlation between these two variables is not zero, and we are 80% confident it is between 0.1822292 and 0.2462680
cor.test(correlationData$SalePrice,correlationData$BsmtUnfSF, conf.level = 0.8)##
## Pearson's product-moment correlation
##
## data: correlationData$SalePrice and correlationData$BsmtUnfSF
## t = 8.3847, df = 1458, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 80 percent confidence interval:
## 0.1822292 0.2462680
## sample estimates:
## cor
## 0.2144791Lot Area vs Basement Size
With a high P value, we are confident the correlation between these two variables is in fact zero, and we are 80% confident it is between -0.03617682 and 0.03094600
cor.test(correlationData$LotArea,correlationData$BsmtUnfSF, conf.level = 0.8)##
## Pearson's product-moment correlation
##
## data: correlationData$LotArea and correlationData$BsmtUnfSF
## t = -0.099979, df = 1458, p-value = 0.9204
## alternative hypothesis: true correlation is not equal to 0
## 80 percent confidence interval:
## -0.03617682 0.03094600
## sample estimates:
## cor
## -0.00261836Would you be worried about familywise error? Why or why not?
Familywise error is that of making at least one “type I” error“, or a false positive, rejection of a true null. In our two first cases, the P value is extremely small. Type I error happens when the null is rejected or the P value being smaller than a set threshold. But in our case the P value is very small, so any reasonable threshold (0.1, 0.05, etc.) setting will almost certainly be breached. So I would not be worried about committing a type one error, the null hypothesis can very certainly be rejected. In the last case, now the P value is very large, so again we are far from any reasonable threshold. In this case we can certainly not reject the null.
Linear Algebra and Correlation.
Linear Algebra and Correlation. Invert your correlation matrix from above. (This is known as the precision matrix and contains variance inflation factors on the diagonal.) Multiply the correlation matrix by the precision matrix, and then multiply the precision matrix by the correlation matrix. Conduct LU decomposition on the matrix.
Invert your correlation matrix from above.
precisionMatrix<-solve(correlationMatrix)
round(precisionMatrix,4)## SalePrice LotArea BsmtUnfSF
## SalePrice 1.1311 -0.2990 -0.2434
## LotArea -0.2990 1.0791 0.0669
## BsmtUnfSF -0.2434 0.0669 1.0524Multiply the correlation matrix by the precision matrix, and then multiply the precision matrix by the correlation matrix.
round(correlationMatrix %*% precisionMatrix,4)## SalePrice LotArea BsmtUnfSF
## SalePrice 1 0 0
## LotArea 0 1 0
## BsmtUnfSF 0 0 1round(precisionMatrix %*% correlationMatrix,4)## SalePrice LotArea BsmtUnfSF
## SalePrice 1 0 0
## LotArea 0 1 0
## BsmtUnfSF 0 0 1Conduct LU decomposition on the matrix.
We use a function from assignment 2
solve.LDU<-function(A,D=FALSE) {
#build unity matrix b
b<-matrix(nrow = nrow(A),ncol = ncol(A))
for(j in 1:ncol(A)) {
for(i in 1:nrow(A)) {
if(i==j) b[i,j]<-1 else b[i,j]=0
}
}
#alternatively b could have been defined by b<-diag(ncol(A))
Ab<-cbind(A,b)
for(row in 1:(nrow(Ab)-1)){
col=row
for(next.row in (row+1):nrow(Ab)) {
multiplier<-Ab[next.row,col]/Ab[row,col]
Ab[next.row,]<-Ab[next.row,]-(multiplier*Ab[row,])
}
}
ru<-Ab[,1:ncol(A)]
rl<-solve(Ab[,(ncol(A)+1):ncol(Ab)])
if(D) {
Ab<-ru
rd<-diag(diag(ru))
for(row in 1:nrow(Ab)) {
Ab[row,]=Ab[row,]/Ab[row,row]
}
rup<-Ab
result<-list(rl,rd,rup)
return(result)
} else {
result<-list(rl,ru)
return(result)
}
}
r<-solve.LDU(correlationMatrix)
L<-r[[1]]
U<-r[[2]]
L## SalePrice LotArea BsmtUnfSF
## 1.0000 0.00000000 0
## 0.2638 1.00000000 0
## 0.2145 -0.06361188 1U## SalePrice LotArea BsmtUnfSF
## SalePrice 1 0.2638000 0.2145000
## LotArea 0 0.9304096 -0.0591851
## BsmtUnfSF 0 0.0000000 0.9502249We can confirm the decomposition by comparing to our original matrix correlationMatrix
round(L %*% U ,4)== round(correlationMatrix,4)## SalePrice LotArea BsmtUnfSF
## TRUE TRUE TRUE
## TRUE TRUE TRUE
## TRUE TRUE TRUECalculus-Based Probability & Statistics.
Calculus-Based Probability & Statistics. Many times, it makes sense to fit a closed form distribution to data. Select a variable in the Kaggle.com training dataset that is skewed to the right, shift it so that the minimum value is absolutely above zero if necessary. Then load the MASS package and run fitdistr to fit an exponential probability density function. (See https://stat.ethz.ch/R-manual/R-devel/library/MASS/html/fitdistr.html ). Find the optimal value of \(\lambda\) for this distribution, and then take 1000 samples from this exponential distribution using this value (e.g., rexp(1000,\(\lambda\) )). Plot a histogram and compare it with a histogram of your original variable. Using the exponential pdf, find the 5th and 95th percentiles using the cumulative distribution function (CDF). Also generate a 95% confidence interval from the empirical data, assuming normality. Finally, provide the empirical 5th percentile and 95th percentile of the data. Discuss.
Many times, it makes sense to fit a closed form distribution to data. Select a variable in the Kaggle.com training dataset that is skewed to the right, shift it so that the minimum value is absolutely above zero if necessary. Then load the MASS package and run fitdistr to fit an exponential probability density function.
toFit<-train$GrLivArea
min(toFit)## [1] 334Selected GrLivArea and found a shift is not necessary.
Then load the MASS package and run fitdistr to fit an exponential probability density function.
library(MASS)## Warning: package 'MASS' was built under R version 3.5.2##
## Attaching package: 'MASS'## The following object is masked from 'package:dplyr':
##
## selectfit <- fitdistr(toFit, "exponential")
fit## rate
## 6.598640e-04
## (1.726943e-05)Find the optimal value of \(\lambda\) for this distribution, and then take 1000 samples from this exponential distribution using this value
l<-fit$estimate
sim<- rexp(1000,l)Plot a histogram and compare it with a histogram of your original variable.
hist(sim,breaks = 100)
hist(toFit,breaks=100)
sim.df <- data.frame(length = sim)
toFit.df <- data.frame(length = toFit)
sim.df$from <- 'sim'
toFit.df$from <- 'toFit'
both.df <- rbind(sim.df,toFit.df)
ggplot(both.df, aes(length, fill = from)) + geom_density(alpha = 0.2)
Using the exponential pdf, find the 5th and 95th percentiles using the cumulative distribution function (CDF).
quantile(sim, probs=c(0.05, 0.95))## 5% 95%
## 61.46133 4445.34043Also generate a 95% confidence interval from the empirical data, assuming normality.
mean(toFit)## [1] 1515.464normal<-rnorm(length(toFit),mean(toFit),sd(toFit))
hist(normal)
quantile(normal, probs=c(0.05, 0.95))## 5% 95%
## 703.0199 2359.0967normal.df <- data.frame(length = normal)
normal.df$from <- 'normal'
all.df <- rbind(both.df,normal.df)
ggplot(all.df, aes(length, fill = from)) + geom_density(alpha = 0.2)
Finally, provide the empirical 5th percentile and 95th percentile of the data. Discuss.
quantile(toFit, probs=c(0.05, 0.95))## 5% 95%
## 848.0 2466.1From this analysis it appears the data select was not very right skew. The exponential simulation does not match our data very well, rather, our selected empirical data matches the normal distribution a lot better. This can be seen in the final density plot, but also on the confidence interval where the limits are much closer than for the exponential approximation.
Modeling
Modeling. Build some type of multiple regression model and submit your model to the competition board. Provide your complete model summary and results with analysis. Report your Kaggle.com user name and score.
We start by selecting numeric variables using the distribution plots done before
model_input<-dplyr::select(train, GrLivArea, BedroomAbvGr,BsmtFinSF1,BsmtUnfSF,GarageArea,GarageCars,GarageYrBlt,GrLivArea,LotFrontage,LotArea,Fireplaces,YearBuilt,OverallQual)
model_input$SalePrice<-log(train$SalePrice)
gather(model_input,"VARIABLE","VALUE",-SalePrice) %>%
ggplot(aes(x=VALUE,y=SalePrice)) +
geom_point() + facet_wrap(~VARIABLE,scale="free",ncol=4) +
labs(x="Variables", y="Sale Price") +
theme(axis.text.x=element_text(angle=90))## Warning: Removed 340 rows containing missing values (geom_point).
plotlm<-function(lm) {
print(summary(lm))
plot(fitted(lm),resid(lm))
abline(0, 0)
hist(resid(lm),breaks = 100)
qqnorm(resid(lm))
qqline(resid(lm))
}
lm1<-lm(SalePrice ~ GrLivArea+BedroomAbvGr+BsmtFinSF1+BsmtUnfSF+GarageArea+GarageCars+GarageYrBlt+GrLivArea+LotFrontage+LotArea+Fireplaces+YearBuilt+OverallQual,data=model_input)
plotlm(lm1)##
## Call:
## lm(formula = SalePrice ~ GrLivArea + BedroomAbvGr + BsmtFinSF1 +
## BsmtUnfSF + GarageArea + GarageCars + GarageYrBlt + GrLivArea +
## LotFrontage + LotArea + Fireplaces + YearBuilt + OverallQual,
## data = model_input)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.21323 -0.07661 0.00965 0.09168 0.50115
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.494e+00 5.432e-01 10.114 < 2e-16 ***
## GrLivArea 1.732e-04 1.714e-05 10.100 < 2e-16 ***
## BedroomAbvGr 1.196e-02 8.499e-03 1.407 0.159678
## BsmtFinSF1 9.664e-05 1.658e-05 5.828 7.34e-09 ***
## BsmtUnfSF 2.000e-05 1.625e-05 1.231 0.218654
## GarageArea 2.844e-05 5.457e-05 0.521 0.602300
## GarageCars 7.380e-02 1.549e-02 4.766 2.13e-06 ***
## GarageYrBlt 5.781e-04 3.963e-04 1.459 0.144885
## LotFrontage 3.788e-04 2.567e-04 1.476 0.140341
## LotArea 2.503e-06 7.082e-07 3.534 0.000426 ***
## Fireplaces 6.043e-02 9.666e-03 6.252 5.76e-10 ***
## YearBuilt 2.079e-03 3.194e-04 6.508 1.15e-10 ***
## OverallQual 1.152e-01 6.318e-03 18.230 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1696 on 1114 degrees of freedom
## (333 observations deleted due to missingness)
## Multiple R-squared: 0.8195, Adjusted R-squared: 0.8175
## F-statistic: 421.5 on 12 and 1114 DF, p-value: < 2.2e-16
We find several variables with high P values. We work our way back by eliminating these and assessing the resulting model.
lm2<-lm(SalePrice ~ GrLivArea+BsmtFinSF1+GarageCars+GrLivArea+LotArea+Fireplaces+YearBuilt+OverallQual+BedroomAbvGr,data=model_input)
plotlm(lm2)##
## Call:
## lm(formula = SalePrice ~ GrLivArea + BsmtFinSF1 + GarageCars +
## GrLivArea + LotArea + Fireplaces + YearBuilt + OverallQual +
## BedroomAbvGr, data = model_input)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.18616 -0.08001 0.01038 0.09589 0.50356
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.843e+00 3.715e-01 15.730 < 2e-16 ***
## GrLivArea 2.027e-04 1.409e-05 14.388 < 2e-16 ***
## BsmtFinSF1 9.292e-05 1.054e-05 8.814 < 2e-16 ***
## GarageCars 8.585e-02 7.958e-03 10.788 < 2e-16 ***
## LotArea 2.772e-06 4.698e-07 5.900 4.51e-09 ***
## Fireplaces 5.497e-02 8.035e-03 6.842 1.15e-11 ***
## YearBuilt 2.489e-03 1.952e-04 12.754 < 2e-16 ***
## OverallQual 1.110e-01 5.098e-03 21.781 < 2e-16 ***
## BedroomAbvGr 1.174e-02 6.805e-03 1.725 0.0848 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1668 on 1451 degrees of freedom
## Multiple R-squared: 0.8265, Adjusted R-squared: 0.8256
## F-statistic: 864.2 on 8 and 1451 DF, p-value: < 2.2e-16
correlationData<-dplyr::select(train,GrLivArea,BsmtFinSF1,GarageCars,GrLivArea,LotArea,Fireplaces,YearBuilt,OverallQual,BedroomAbvGr)
correlationMatrix<-round(cor(correlationData),4)
correlationMatrix## GrLivArea BsmtFinSF1 GarageCars LotArea Fireplaces YearBuilt
## GrLivArea 1.0000 0.2082 0.4672 0.2631 0.4617 0.1990
## BsmtFinSF1 0.2082 1.0000 0.2241 0.2141 0.2600 0.2495
## GarageCars 0.4672 0.2241 1.0000 0.1549 0.3008 0.5379
## LotArea 0.2631 0.2141 0.1549 1.0000 0.2714 0.0142
## Fireplaces 0.4617 0.2600 0.3008 0.2714 1.0000 0.1477
## YearBuilt 0.1990 0.2495 0.5379 0.0142 0.1477 1.0000
## OverallQual 0.5930 0.2397 0.6007 0.1058 0.3968 0.5723
## BedroomAbvGr 0.5213 -0.1074 0.0861 0.1197 0.1076 -0.0707
## OverallQual BedroomAbvGr
## GrLivArea 0.5930 0.5213
## BsmtFinSF1 0.2397 -0.1074
## GarageCars 0.6007 0.0861
## LotArea 0.1058 0.1197
## Fireplaces 0.3968 0.1076
## YearBuilt 0.5723 -0.0707
## OverallQual 1.0000 0.1017
## BedroomAbvGr 0.1017 1.0000corrplot(correlationMatrix,method ="color",type="upper")
lm3<-lm(SalePrice ~ BsmtFinSF1+GarageCars+GrLivArea+LotArea+Fireplaces+YearBuilt+OverallQual,data=model_input)
plotlm(lm3)##
## Call:
## lm(formula = SalePrice ~ BsmtFinSF1 + GarageCars + GrLivArea +
## LotArea + Fireplaces + YearBuilt + OverallQual, data = model_input)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.21416 -0.07986 0.01151 0.09647 0.50045
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.864e+00 3.715e-01 15.784 < 2e-16 ***
## BsmtFinSF1 8.922e-05 1.033e-05 8.638 < 2e-16 ***
## GarageCars 8.497e-02 7.947e-03 10.692 < 2e-16 ***
## GrLivArea 2.167e-04 1.152e-05 18.821 < 2e-16 ***
## LotArea 2.787e-06 4.700e-07 5.929 3.80e-09 ***
## Fireplaces 5.362e-02 8.002e-03 6.701 2.95e-11 ***
## YearBuilt 2.492e-03 1.953e-04 12.759 < 2e-16 ***
## OverallQual 1.094e-01 5.008e-03 21.838 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1669 on 1452 degrees of freedom
## Multiple R-squared: 0.8262, Adjusted R-squared: 0.8253
## F-statistic: 985.9 on 7 and 1452 DF, p-value: < 2.2e-16
correlationData<-dplyr::select(train,BsmtFinSF1,GarageCars,GrLivArea,LotArea,Fireplaces,YearBuilt,OverallQual)
correlationMatrix<-round(cor(correlationData),4)
correlationMatrix## BsmtFinSF1 GarageCars GrLivArea LotArea Fireplaces YearBuilt
## BsmtFinSF1 1.0000 0.2241 0.2082 0.2141 0.2600 0.2495
## GarageCars 0.2241 1.0000 0.4672 0.1549 0.3008 0.5379
## GrLivArea 0.2082 0.4672 1.0000 0.2631 0.4617 0.1990
## LotArea 0.2141 0.1549 0.2631 1.0000 0.2714 0.0142
## Fireplaces 0.2600 0.3008 0.4617 0.2714 1.0000 0.1477
## YearBuilt 0.2495 0.5379 0.1990 0.0142 0.1477 1.0000
## OverallQual 0.2397 0.6007 0.5930 0.1058 0.3968 0.5723
## OverallQual
## BsmtFinSF1 0.2397
## GarageCars 0.6007
## GrLivArea 0.5930
## LotArea 0.1058
## Fireplaces 0.3968
## YearBuilt 0.5723
## OverallQual 1.0000corrplot(correlationMatrix,method ="color",type="upper")
Model 2 and 3 have very similar results, we decide to submit model 2. Not always a model with more features is best, but in this case we do decide on this one.
test<-read.csv("data/test.csv",header=TRUE,stringsAsFactors=FALSE)test2<-dplyr::select(test,GrLivArea,BsmtFinSF1,GarageCars,GrLivArea,LotArea,Fireplaces,YearBuilt,OverallQual,BedroomAbvGr)
predictions<-predict(lm2,test)
test2$SalePrice <- round(exp(predictions))
test2$Id<-test$Id
test2$SalePrice[is.na(test2$SalePrice)] <- median(test2$SalePrice, na.rm = TRUE)
tblTable<-tbl_df(test2)
tblTable %>% kable() %>% kable_styling() %>% scroll_box(width = "800px", height = "400px")| GrLivArea | BsmtFinSF1 | GarageCars | LotArea | Fireplaces | YearBuilt | OverallQual | BedroomAbvGr | SalePrice | Id |
|---|---|---|---|---|---|---|---|---|---|
| 896 | 468 | 1 | 11622 | 0 | 1961 | 5 | 2 | 114285 | 1461 |
| 1329 | 923 | 1 | 14267 | 0 | 1958 | 6 | 3 | 147141 | 1462 |
| 1629 | 791 | 2 | 13830 | 1 | 1997 | 5 | 3 | 175140 | 1463 |
| 1604 | 602 | 2 | 9978 | 1 | 1998 | 6 | 3 | 189770 | 1464 |
| 1280 | 263 | 2 | 5005 | 0 | 1992 | 8 | 2 | 195447 | 1465 |
| 1655 | 0 | 2 | 10000 | 1 | 1993 | 6 | 3 | 179079 | 1466 |
| 1187 | 935 | 2 | 7980 | 0 | 1992 | 6 | 3 | 166797 | 1467 |
| 1465 | 0 | 2 | 8402 | 1 | 1998 | 6 | 3 | 173700 | 1468 |
| 1341 | 637 | 2 | 10176 | 1 | 1990 | 7 | 2 | 195526 | 1469 |
| 882 | 804 | 2 | 8400 | 0 | 1970 | 4 | 2 | 116205 | 1470 |
| 1337 | 1051 | 2 | 5858 | 1 | 1999 | 7 | 2 | 205159 | 1471 |
| 987 | 156 | 1 | 1680 | 0 | 1971 | 6 | 2 | 126031 | 1472 |
| 1092 | 300 | 1 | 1680 | 0 | 1971 | 5 | 3 | 118142 | 1473 |
| 1456 | 514 | 2 | 2280 | 1 | 1975 | 6 | 3 | 168855 | 1474 |
| 836 | 0 | 1 | 2280 | 0 | 1975 | 7 | 2 | 136194 | 1475 |
| 2334 | 0 | 3 | 12858 | 1 | 2009 | 9 | 3 | 327733 | 1476 |
| 1544 | 0 | 3 | 12883 | 0 | 2009 | 8 | 3 | 236538 | 1477 |
| 1698 | 110 | 3 | 11520 | 1 | 2005 | 9 | 3 | 287099 | 1478 |
| 1822 | 28 | 3 | 14122 | 1 | 2005 | 8 | 3 | 263358 | 1479 |
| 2696 | 1373 | 3 | 14300 | 2 | 2003 | 9 | 3 | 418719 | 1480 |
| 2250 | 578 | 3 | 13650 | 1 | 2002 | 8 | 3 | 299648 | 1481 |
| 1370 | 24 | 2 | 7132 | 1 | 2006 | 8 | 2 | 214228 | 1482 |
| 1324 | 0 | 2 | 18494 | 0 | 2005 | 6 | 3 | 167197 | 1483 |
| 1145 | 16 | 2 | 3203 | 0 | 2006 | 7 | 2 | 171363 | 1484 |
| 1374 | 326 | 2 | 13300 | 1 | 2004 | 7 | 3 | 202093 | 1485 |
| 1733 | 0 | 2 | 8577 | 1 | 2004 | 7 | 3 | 208121 | 1486 |
| 2475 | 0 | 3 | 17433 | 1 | 1998 | 8 | 4 | 300900 | 1487 |
| 1595 | 0 | 3 | 8987 | 1 | 2005 | 8 | 2 | 244429 | 1488 |
| 1218 | 0 | 2 | 9215 | 0 | 2009 | 7 | 2 | 177901 | 1489 |
| 1468 | 1414 | 2 | 10440 | 1 | 2005 | 6 | 2 | 200470 | 1490 |
| 1659 | 0 | 2 | 11920 | 0 | 2004 | 7 | 3 | 195862 | 1491 |
| 1012 | 0 | 1 | 9800 | 0 | 1920 | 5 | 2 | 100646 | 1492 |
| 1494 | 126 | 2 | 15410 | 2 | 1974 | 6 | 3 | 179392 | 1493 |
| 2349 | 250 | 3 | 13143 | 1 | 1993 | 8 | 4 | 292987 | 1494 |
| 2225 | 1129 | 3 | 11134 | 1 | 1992 | 8 | 4 | 307541 | 1495 |
| 1488 | 1298 | 2 | 4835 | 1 | 2004 | 7 | 2 | 218537 | 1496 |
| 1680 | 0 | 2 | 3515 | 0 | 2004 | 7 | 2 | 189926 | 1497 |
| 1200 | 280 | 2 | 3215 | 0 | 2004 | 7 | 2 | 176711 | 1498 |
| 1200 | 368 | 2 | 2544 | 0 | 2004 | 7 | 2 | 177831 | 1499 |
| 1236 | 376 | 2 | 2544 | 0 | 2005 | 6 | 2 | 160826 | 1500 |
| 1512 | 466 | 2 | 2980 | 0 | 2000 | 6 | 2 | 169592 | 1501 |
| 1080 | 244 | 2 | 2403 | 0 | 2003 | 7 | 2 | 171076 | 1502 |
| 1418 | 1032 | 3 | 12853 | 1 | 2010 | 8 | 1 | 262530 | 1503 |
| 1848 | 484 | 2 | 7379 | 1 | 2000 | 8 | 3 | 245715 | 1504 |
| 1492 | 833 | 2 | 8000 | 1 | 2002 | 7 | 3 | 212744 | 1505 |
| 1829 | 506 | 2 | 10456 | 0 | 1967 | 6 | 4 | 174762 | 1506 |
| 2495 | 1137 | 2 | 10791 | 1 | 1993 | 6 | 4 | 239293 | 1507 |
| 1891 | 687 | 2 | 18837 | 1 | 1978 | 6 | 3 | 197683 | 1508 |
| 1645 | 329 | 2 | 9600 | 0 | 1971 | 6 | 4 | 166878 | 1509 |
| 1232 | 698 | 2 | 9600 | 0 | 1966 | 5 | 3 | 138740 | 1510 |
| 1209 | 1059 | 2 | 9900 | 0 | 1966 | 5 | 3 | 142925 | 1511 |
| 1510 | 1010 | 2 | 9680 | 0 | 1967 | 5 | 3 | 151511 | 1512 |
| 1775 | 0 | 2 | 10600 | 0 | 1964 | 6 | 3 | 161848 | 1513 |
| 1728 | 1500 | 0 | 13260 | 0 | 1962 | 5 | 6 | 144225 | 1514 |
| 2461 | 670 | 2 | 9724 | 2 | 1952 | 5 | 3 | 191441 | 1515 |
| 1556 | 300 | 2 | 17360 | 1 | 1949 | 6 | 3 | 165093 | 1516 |
| 1128 | 944 | 1 | 11380 | 1 | 1966 | 6 | 2 | 149567 | 1517 |
| 1604 | 0 | 2 | 8267 | 0 | 1958 | 5 | 4 | 138557 | 1518 |
| 1480 | 1188 | 2 | 8197 | 0 | 2003 | 7 | 3 | 208243 | 1519 |
| 1143 | 856 | 1 | 8050 | 0 | 1959 | 5 | 3 | 124173 | 1520 |
| 1206 | 936 | 1 | 10725 | 0 | 1959 | 5 | 3 | 127650 | 1521 |
| 1580 | 734 | 2 | 10032 | 2 | 1959 | 6 | 3 | 183324 | 1522 |
| 1337 | 0 | 1 | 8382 | 0 | 1956 | 4 | 3 | 106046 | 1523 |
| 1064 | 339 | 1 | 10950 | 0 | 1952 | 5 | 2 | 114034 | 1524 |
| 972 | 648 | 1 | 10895 | 0 | 1955 | 5 | 3 | 117403 | 1525 |
| 988 | 532 | 1 | 13587 | 0 | 1958 | 5 | 2 | 116894 | 1526 |
| 985 | 0 | 2 | 7898 | 0 | 1920 | 4 | 2 | 97093 | 1527 |
| 1224 | 481 | 1 | 8064 | 0 | 1948 | 6 | 3 | 132548 | 1528 |
| 1175 | 588 | 2 | 7635 | 0 | 1960 | 5 | 3 | 133013 | 1529 |
| 1395 | 717 | 2 | 9760 | 1 | 1963 | 6 | 2 | 166445 | 1530 |
| 1844 | 48 | 1 | 4800 | 2 | 1900 | 4 | 3 | 113491 | 1531 |
| 936 | 579 | 0 | 4485 | 1 | 1920 | 5 | 2 | 99923 | 1532 |
| 1347 | 274 | 2 | 5805 | 0 | 1957 | 5 | 3 | 132105 | 1533 |
| 1251 | 0 | 1 | 6900 | 0 | 1938 | 6 | 3 | 123916 | 1534 |
| 1633 | 780 | 1 | 11851 | 1 | 1948 | 5 | 3 | 141467 | 1535 |
| 1245 | 176 | 1 | 8239 | 0 | 1920 | 5 | 3 | 108052 | 1536 |
| 832 | 0 | 2 | 9656 | 1 | 1923 | 2 | 2 | 80631 | 1537 |
| 1566 | 0 | 1 | 9600 | 0 | 1900 | 8 | 3 | 151176 | 1538 |
| 2268 | 0 | 2 | 9000 | 0 | 1890 | 8 | 3 | 184943 | 1539 |
| 2256 | 0 | 0 | 9045 | 0 | 1910 | 5 | 4 | 118443 | 1540 |
| 1470 | 283 | 2 | 10560 | 0 | 1922 | 6 | 2 | 139036 | 1541 |
| 1612 | 788 | 1 | 5830 | 0 | 1950 | 5 | 3 | 131877 | 1542 |
| 2068 | 474 | 1 | 7793 | 1 | 1922 | 7 | 3 | 173805 | 1543 |
| 765 | 188 | 1 | 5000 | 0 | 1925 | 4 | 2 | 87104 | 1544 |
| 1132 | 452 | 1 | 6000 | 0 | 1939 | 6 | 2 | 124679 | 1545 |
| 1196 | 264 | 2 | 6000 | 2 | 1940 | 6 | 3 | 153127 | 1546 |
| 1453 | 360 | 1 | 6360 | 2 | 1942 | 5 | 3 | 134474 | 1547 |
| 1416 | 300 | 1 | 6000 | 0 | 1948 | 6 | 3 | 134738 | 1548 |
| 1040 | 276 | 2 | 6240 | 0 | 1936 | 5 | 2 | 116599 | 1549 |
| 1536 | 448 | 2 | 6240 | 1 | 1930 | 5 | 4 | 139600 | 1550 |
| 1068 | 960 | 1 | 6120 | 1 | 1923 | 6 | 2 | 131033 | 1551 |
| 1962 | 0 | 2 | 8094 | 1 | 1915 | 4 | 4 | 126503 | 1552 |
| 1560 | 0 | 0 | 12900 | 0 | 1912 | 6 | 3 | 115389 | 1553 |
| 1324 | 0 | 1 | 3068 | 0 | 1920 | 6 | 3 | 118983 | 1554 |
| 1675 | 766 | 1 | 15263 | 2 | 1959 | 5 | 3 | 156193 | 1555 |
| 1224 | 0 | 1 | 10632 | 0 | 1917 | 5 | 3 | 105759 | 1556 |
| 1392 | 1026 | 0 | 9900 | 0 | 1915 | 5 | 3 | 109695 | 1557 |
| 919 | 368 | 1 | 6001 | 0 | 1940 | 6 | 3 | 120180 | 1558 |
| 1884 | 73 | 0 | 6449 | 0 | 1907 | 4 | 4 | 97524 | 1559 |
| 1680 | 736 | 2 | 6048 | 1 | 1910 | 5 | 2 | 137132 | 1560 |
| 1832 | 704 | 0 | 10773 | 0 | 1967 | 4 | 4 | 120244 | 1561 |
| 892 | 240 | 1 | 7800 | 0 | 1966 | 5 | 3 | 113328 | 1562 |
| 864 | 775 | 1 | 7832 | 0 | 1968 | 5 | 2 | 117643 | 1563 |
| 1373 | 1319 | 2 | 7424 | 2 | 1978 | 5 | 3 | 172893 | 1564 |
| 1440 | 267 | 2 | 11227 | 2 | 1968 | 5 | 4 | 158521 | 1565 |
| 1483 | 1092 | 2 | 20062 | 2 | 1977 | 7 | 1 | 218118 | 1566 |
| 756 | 0 | 2 | 9259 | 0 | 1927 | 4 | 2 | 94675 | 1567 |
| 1981 | 964 | 2 | 17082 | 1 | 1978 | 6 | 4 | 207996 | 1568 |
| 1610 | 288 | 1 | 18600 | 1 | 1938 | 3 | 4 | 108327 | 1569 |
| 1074 | 104 | 1 | 11479 | 1 | 1950 | 6 | 3 | 133077 | 1570 |
| 1531 | 192 | 1 | 9350 | 1 | 1947 | 4 | 3 | 116314 | 1571 |
| 1172 | 954 | 1 | 9525 | 0 | 1954 | 5 | 3 | 124998 | 1572 |
| 1508 | 1346 | 2 | 17485 | 2 | 2009 | 7 | 1 | 241343 | 1573 |
| 1298 | 0 | 2 | 11200 | 0 | 1964 | 5 | 3 | 131707 | 1574 |
| 1433 | 1433 | 2 | 11980 | 2 | 1987 | 7 | 1 | 223425 | 1575 |
| 1802 | 860 | 4 | 12361 | 1 | 1993 | 6 | 3 | 238837 | 1576 |
| 1222 | 24 | 2 | 7360 | 0 | 2010 | 7 | 2 | 177970 | 1577 |
| 1445 | 0 | 2 | 14235 | 0 | 1900 | 6 | 3 | 130390 | 1578 |
| 965 | 870 | 2 | 11105 | 0 | 1996 | 5 | 2 | 142818 | 1579 |
| 1692 | 353 | 2 | 9337 | 1 | 1997 | 7 | 3 | 210039 | 1580 |
| 1026 | 198 | 1 | 15240 | 0 | 1977 | 5 | 3 | 121699 | 1581 |
| 876 | 480 | 2 | 7480 | 0 | 1972 | 5 | 3 | 127643 | 1582 |
| 1978 | 1682 | 3 | 10389 | 1 | 2003 | 8 | 3 | 312156 | 1583 |
| 2098 | 0 | 2 | 9375 | 1 | 1997 | 7 | 4 | 223326 | 1584 |
| 848 | 672 | 2 | 4435 | 0 | 2003 | 6 | 1 | 151063 | 1585 |
| 640 | 0 | 1 | 8777 | 0 | 1945 | 3 | 2 | 79322 | 1586 |
| 992 | 0 | 1 | 8842 | 0 | 1954 | 5 | 3 | 110087 | 1587 |
| 1196 | 1070 | 1 | 10044 | 0 | 1968 | 5 | 3 | 131661 | 1588 |
| 1120 | 0 | 2 | 11792 | 0 | 1948 | 4 | 2 | 108151 | 1589 |
| 1096 | 528 | 1 | 6305 | 1 | 1975 | 6 | 3 | 145864 | 1590 |
| 960 | 0 | 0 | 6410 | 0 | 1958 | 4 | 3 | 90117 | 1591 |
| 1296 | 133 | 1 | 4853 | 1 | 1924 | 5 | 2 | 113609 | 1592 |
| 856 | 238 | 2 | 7890 | 1 | 1939 | 6 | 2 | 133750 | 1593 |
| 2650 | 0 | 0 | 7200 | 0 | 1967 | 4 | 6 | 134761 | 1594 |
| 1666 | 0 | 0 | 9839 | 1 | 1931 | 5 | 3 | 115878 | 1595 |
| 2133 | 426 | 1 | 10452 | 2 | 1941 | 7 | 4 | 197952 | 1596 |
| 2177 | 375 | 2 | 15600 | 0 | 1950 | 5 | 5 | 163111 | 1597 |
| 1652 | 343 | 2 | 19645 | 0 | 1994 | 7 | 3 | 201217 | 1598 |
| 1034 | 747 | 2 | 3907 | 1 | 1989 | 8 | 1 | 200963 | 1599 |
| 1191 | 76 | 2 | 3907 | 1 | 1989 | 8 | 2 | 197223 | 1600 |
| 540 | 480 | 1 | 8154 | 0 | 1941 | 2 | 1 | 71049 | 1601 |
| 1107 | 308 | 1 | 9140 | 0 | 1921 | 6 | 2 | 118060 | 1602 |
| 952 | 0 | 1 | 8712 | 0 | 1896 | 4 | 3 | 84554 | 1603 |
| 1646 | 1373 | 2 | 3811 | 1 | 2004 | 8 | 2 | 253195 | 1604 |
| 1916 | 615 | 3 | 11050 | 1 | 1998 | 8 | 3 | 276214 | 1605 |
| 1285 | 679 | 2 | 9620 | 1 | 1977 | 6 | 3 | 169870 | 1606 |
| 2048 | 0 | 2 | 12760 | 0 | 1976 | 6 | 5 | 181513 | 1607 |
| 1346 | 78 | 3 | 11896 | 1 | 2008 | 7 | 3 | 215276 | 1608 |
| 1214 | 0 | 2 | 9803 | 0 | 2009 | 7 | 2 | 178046 | 1609 |
| 1444 | 0 | 2 | 9802 | 0 | 2006 | 5 | 3 | 150032 | 1610 |
| 1264 | 42 | 2 | 15300 | 1 | 1965 | 5 | 2 | 139029 | 1611 |
| 1430 | 0 | 2 | 10114 | 0 | 2004 | 5 | 3 | 148993 | 1612 |
| 1344 | 0 | 2 | 11875 | 1 | 1999 | 5 | 3 | 153526 | 1613 |
| 945 | 915 | 1 | 2394 | 1 | 1973 | 5 | 2 | 127667 | 1614 |
| 1092 | 176 | 0 | 1476 | 0 | 1970 | 4 | 3 | 95623 | 1615 |
| 1092 | 0 | 0 | 1900 | 0 | 1970 | 4 | 3 | 94183 | 1616 |
| 1092 | 294 | 1 | 1890 | 0 | 1972 | 4 | 3 | 105991 | 1617 |
| 874 | 469 | 1 | 6953 | 0 | 1971 | 5 | 3 | 116514 | 1618 |
| 833 | 207 | 2 | 12887 | 0 | 1984 | 5 | 2 | 127520 | 1619 |
| 2432 | 0 | 2 | 7700 | 0 | 1985 | 5 | 4 | 174997 | 1620 |
| 1274 | 458 | 2 | 10475 | 0 | 1991 | 5 | 3 | 145980 | 1621 |
| 1479 | 476 | 1 | 10544 | 0 | 1969 | 5 | 5 | 135606 | 1622 |
| 1803 | 1341 | 2 | 9892 | 2 | 1994 | 8 | 3 | 276355 | 1623 |
| 1797 | 944 | 2 | 12961 | 1 | 1993 | 6 | 3 | 202864 | 1624 |
| 882 | 564 | 1 | 13008 | 0 | 1956 | 6 | 2 | 127385 | 1625 |
| 1434 | 844 | 2 | 10200 | 1 | 1974 | 6 | 4 | 178832 | 1626 |
| 1608 | 847 | 2 | 10179 | 1 | 1997 | 6 | 3 | 193922 | 1627 |
| 2283 | 850 | 3 | 11792 | 1 | 2003 | 8 | 4 | 312201 | 1628 |
| 1628 | 284 | 2 | 8400 | 1 | 1996 | 7 | 3 | 204961 | 1629 |
| 2522 | 1965 | 2 | 7296 | 1 | 2004 | 8 | 1 | 318834 | 1630 |
| 1478 | 341 | 2 | 7380 | 0 | 1998 | 8 | 2 | 209389 | 1631 |
| 1734 | 741 | 2 | 8013 | 0 | 1995 | 8 | 2 | 227590 | 1632 |
| 1382 | 189 | 2 | 8923 | 1 | 1998 | 7 | 3 | 194523 | 1633 |
| 1636 | 476 | 2 | 7500 | 1 | 1998 | 6 | 3 | 187489 | 1634 |
| 1516 | 600 | 2 | 8803 | 1 | 1994 | 6 | 3 | 183933 | 1635 |
| 1190 | 0 | 2 | 7250 | 1 | 1993 | 6 | 3 | 161732 | 1636 |
| 1934 | 400 | 2 | 11900 | 1 | 1977 | 5 | 3 | 170026 | 1637 |
| 2050 | 0 | 2 | 13250 | 1 | 1978 | 7 | 4 | 213225 | 1638 |
| 1671 | 363 | 2 | 10928 | 1 | 1978 | 6 | 3 | 179475 | 1639 |
| 2673 | 602 | 2 | 12388 | 1 | 1980 | 7 | 4 | 256511 | 1640 |
| 1707 | 832 | 2 | 11088 | 1 | 1978 | 6 | 3 | 188926 | 1641 |
| 1884 | 622 | 2 | 7000 | 1 | 2003 | 7 | 3 | 225804 | 1642 |
| 1874 | 0 | 2 | 7500 | 1 | 2000 | 8 | 3 | 236229 | 1643 |
| 1811 | 225 | 2 | 8470 | 1 | 2002 | 8 | 3 | 239992 | 1644 |
| 1621 | 1333 | 2 | 9373 | 2 | 1975 | 5 | 3 | 181669 | 1645 |
| 1116 | 888 | 2 | 10140 | 1 | 1974 | 6 | 3 | 166363 | 1646 |
| 1193 | 636 | 2 | 11050 | 1 | 1975 | 7 | 3 | 185382 | 1647 |
| 1180 | 0 | 2 | 7830 | 0 | 1970 | 5 | 2 | 127807 | 1648 |
| 1050 | 500 | 1 | 8510 | 0 | 1971 | 5 | 3 | 121618 | 1649 |
| 864 | 726 | 2 | 7038 | 0 | 1970 | 4 | 3 | 115864 | 1650 |
| 864 | 240 | 2 | 9000 | 0 | 1971 | 4 | 3 | 111630 | 1651 |
| 987 | 254 | 1 | 1680 | 0 | 1973 | 6 | 2 | 127818 | 1652 |
| 987 | 110 | 1 | 1680 | 0 | 1972 | 6 | 2 | 125806 | 1653 |
| 1548 | 306 | 2 | 2308 | 1 | 1976 | 6 | 3 | 169175 | 1654 |
| 1055 | 435 | 2 | 2280 | 1 | 1975 | 7 | 2 | 170668 | 1655 |
| 1456 | 389 | 2 | 2349 | 1 | 1977 | 6 | 3 | 167771 | 1656 |
| 1548 | 320 | 2 | 2364 | 1 | 1978 | 6 | 3 | 170267 | 1657 |
| 1456 | 279 | 2 | 2364 | 1 | 1978 | 6 | 3 | 166485 | 1658 |
| 836 | 536 | 1 | 2104 | 0 | 1976 | 7 | 2 | 143436 | 1659 |
| 1120 | 644 | 2 | 10710 | 1 | 1966 | 5 | 3 | 143012 | 1660 |
| 2772 | 1360 | 3 | 14257 | 3 | 2007 | 9 | 4 | 458493 | 1661 |
| 2690 | 986 | 3 | 12350 | 1 | 2009 | 9 | 3 | 385515 | 1662 |
| 2020 | 1232 | 3 | 12350 | 1 | 2008 | 9 | 3 | 343480 | 1663 |
| 2674 | 2288 | 3 | 13693 | 2 | 2007 | 10 | 2 | 505397 | 1664 |
| 1736 | 0 | 3 | 11578 | 1 | 2008 | 9 | 3 | 288570 | 1665 |
| 1782 | 1531 | 3 | 16870 | 2 | 2004 | 8 | 3 | 318993 | 1666 |
| 2520 | 1230 | 3 | 23303 | 1 | 2007 | 8 | 5 | 358025 | 1667 |
| 1743 | 1015 | 3 | 10367 | 1 | 2008 | 9 | 3 | 316498 | 1668 |
| 1531 | 1037 | 3 | 10872 | 1 | 2006 | 9 | 2 | 299187 | 1669 |
| 1808 | 1142 | 3 | 13514 | 1 | 2008 | 9 | 3 | 327346 | 1670 |
| 1760 | 1262 | 2 | 12878 | 1 | 2003 | 7 | 3 | 237529 | 1671 |
| 2452 | 1972 | 3 | 15274 | 1 | 2003 | 9 | 3 | 399864 | 1672 |
| 2400 | 0 | 3 | 13262 | 1 | 2003 | 8 | 4 | 296622 | 1673 |
| 1606 | 0 | 3 | 9658 | 1 | 2006 | 8 | 3 | 248947 | 1674 |
| 1358 | 836 | 2 | 6904 | 1 | 2005 | 6 | 2 | 183985 | 1675 |
| 1306 | 881 | 2 | 5122 | 1 | 2005 | 6 | 1 | 179795 | 1676 |
| 1358 | 876 | 2 | 10307 | 1 | 2007 | 7 | 2 | 209354 | 1677 |
| 2492 | 2146 | 3 | 14836 | 1 | 2004 | 10 | 2 | 453041 | 1678 |
| 2200 | 1557 | 3 | 15262 | 1 | 2003 | 8 | 3 | 327144 | 1679 |
| 1884 | 800 | 2 | 7390 | 1 | 2008 | 9 | 2 | 287172 | 1680 |
| 1456 | 0 | 2 | 6472 | 1 | 2008 | 9 | 2 | 243822 | 1681 |
| 1712 | 1196 | 3 | 16770 | 1 | 2002 | 8 | 3 | 287040 | 1682 |
| 1405 | 0 | 2 | 3480 | 1 | 2003 | 7 | 2 | 189289 | 1683 |
| 1456 | 0 | 2 | 10928 | 1 | 2005 | 7 | 3 | 198536 | 1684 |
| 1490 | 0 | 2 | 8918 | 1 | 2005 | 6 | 3 | 177905 | 1685 |
| 1220 | 16 | 2 | 3182 | 1 | 2005 | 7 | 2 | 183352 | 1686 |
| 1374 | 0 | 2 | 9434 | 1 | 2004 | 7 | 3 | 193973 | 1687 |
| 1630 | 0 | 2 | 7984 | 1 | 2004 | 7 | 3 | 203486 | 1688 |
| 1594 | 0 | 2 | 10125 | 1 | 2004 | 7 | 3 | 203208 | 1689 |
| 1489 | 652 | 2 | 8965 | 1 | 2003 | 7 | 3 | 210151 | 1690 |
| 1342 | 494 | 2 | 8174 | 1 | 2003 | 7 | 3 | 200568 | 1691 |
| 2004 | 651 | 3 | 12891 | 1 | 2002 | 8 | 4 | 289790 | 1692 |
| 1374 | 241 | 2 | 9734 | 0 | 2004 | 7 | 3 | 187912 | 1693 |
| 1514 | 683 | 2 | 8433 | 1 | 2000 | 6 | 3 | 187877 | 1694 |
| 1430 | 0 | 2 | 7750 | 1 | 1999 | 7 | 3 | 192859 | 1695 |
| 2312 | 913 | 3 | 15896 | 1 | 1999 | 7 | 4 | 283088 | 1696 |
| 1430 | 0 | 2 | 7848 | 1 | 1999 | 7 | 3 | 192911 | 1697 |
| 2687 | 1173 | 3 | 12720 | 2 | 2000 | 8 | 4 | 367101 | 1698 |
| 2063 | 236 | 3 | 10750 | 2 | 1994 | 8 | 3 | 287132 | 1699 |
| 2061 | 816 | 2 | 9085 | 1 | 1995 | 7 | 3 | 234966 | 1700 |
| 2232 | 624 | 2 | 11692 | 1 | 1993 | 8 | 3 | 267616 | 1701 |
| 1696 | 0 | 3 | 11194 | 0 | 2008 | 8 | 3 | 242197 | 1702 |
| 1658 | 0 | 3 | 10206 | 1 | 2008 | 8 | 3 | 253226 | 1703 |
| 1702 | 1294 | 3 | 10130 | 1 | 2007 | 8 | 3 | 287361 | 1704 |
| 1432 | 379 | 2 | 9139 | 1 | 2006 | 8 | 3 | 228126 | 1705 |
| 2490 | 2158 | 3 | 11128 | 2 | 2005 | 9 | 2 | 425316 | 1706 |
| 1436 | 0 | 2 | 7993 | 0 | 2008 | 7 | 3 | 187032 | 1707 |
| 1402 | 0 | 2 | 8640 | 0 | 2008 | 7 | 3 | 186080 | 1708 |
| 1530 | 0 | 3 | 12606 | 1 | 2007 | 9 | 3 | 276868 | 1709 |
| 1448 | 24 | 2 | 7500 | 1 | 2006 | 8 | 2 | 217865 | 1710 |
| 1795 | 682 | 3 | 10603 | 1 | 2006 | 8 | 3 | 276316 | 1711 |
| 1836 | 0 | 2 | 8125 | 1 | 2008 | 8 | 3 | 239546 | 1712 |
| 1662 | 1430 | 3 | 10625 | 1 | 2006 | 7 | 3 | 258038 | 1713 |
| 1553 | 771 | 2 | 8736 | 0 | 2003 | 7 | 3 | 203619 | 1714 |
| 1653 | 410 | 2 | 8127 | 0 | 2003 | 7 | 3 | 200595 | 1715 |
| 1218 | 0 | 2 | 9605 | 0 | 2007 | 7 | 3 | 179301 | 1716 |
| 1141 | 54 | 2 | 7500 | 0 | 2006 | 7 | 3 | 175941 | 1717 |
| 1158 | 0 | 0 | 7500 | 0 | 2004 | 6 | 3 | 131743 | 1718 |
| 1812 | 0 | 2 | 10628 | 0 | 2004 | 7 | 3 | 201310 | 1719 |
| 1512 | 516 | 3 | 10141 | 0 | 2004 | 8 | 3 | 241657 | 1720 |
| 1114 | 0 | 2 | 13072 | 0 | 2004 | 7 | 3 | 175937 | 1721 |
| 1114 | 0 | 0 | 13072 | 0 | 2004 | 5 | 3 | 118669 | 1722 |
| 1114 | 836 | 2 | 12450 | 0 | 2003 | 5 | 3 | 151640 | 1723 |
| 1450 | 0 | 3 | 7328 | 0 | 2008 | 7 | 2 | 201620 | 1724 |
| 2122 | 637 | 2 | 11492 | 1 | 1996 | 7 | 4 | 238906 | 1725 |
| 1730 | 52 | 2 | 7703 | 0 | 1992 | 6 | 3 | 171406 | 1726 |
| 1332 | 0 | 2 | 7175 | 0 | 1990 | 6 | 2 | 154523 | 1727 |
| 1540 | 36 | 2 | 9109 | 0 | 1994 | 7 | 3 | 185666 | 1728 |
| 1400 | 331 | 2 | 10274 | 0 | 1986 | 6 | 3 | 163245 | 1729 |
| 1882 | 0 | 2 | 8250 | 2 | 1981 | 6 | 4 | 193607 | 1730 |
| 980 | 68 | 2 | 9750 | 0 | 1962 | 5 | 3 | 123154 | 1731 |
| 864 | 660 | 2 | 8499 | 0 | 1961 | 5 | 3 | 126340 | 1732 |
| 864 | 864 | 1 | 9079 | 0 | 1961 | 5 | 2 | 116974 | 1733 |
| 1020 | 544 | 1 | 9316 | 0 | 1965 | 5 | 3 | 119844 | 1734 |
| 912 | 624 | 1 | 7791 | 0 | 1963 | 5 | 3 | 117041 | 1735 |
| 912 | 140 | 1 | 7150 | 0 | 1962 | 5 | 3 | 111418 | 1736 |
| 2014 | 1733 | 3 | 15676 | 2 | 1980 | 8 | 2 | 316139 | 1737 |
| 1755 | 601 | 2 | 11949 | 1 | 1991 | 7 | 3 | 216029 | 1738 |
| 3005 | 0 | 3 | 2880 | 1 | 2004 | 7 | 3 | 288886 | 1739 |
| 1726 | 0 | 2 | 3830 | 1 | 2008 | 6 | 2 | 183226 | 1740 |
| 1256 | 962 | 2 | 4217 | 1 | 2008 | 6 | 1 | 180218 | 1741 |
| 1512 | 507 | 2 | 2998 | 0 | 2000 | 6 | 2 | 170248 | 1742 |
| 1452 | 549 | 2 | 3768 | 0 | 1999 | 7 | 3 | 190837 | 1743 |
| 1694 | 1252 | 2 | 14694 | 1 | 1977 | 8 | 2 | 243619 | 1744 |
| 1740 | 121 | 2 | 15417 | 0 | 1981 | 7 | 2 | 189764 | 1745 |
| 2499 | 0 | 2 | 9600 | 1 | 1976 | 8 | 4 | 257062 | 1746 |
| 2067 | 560 | 2 | 12732 | 2 | 1974 | 7 | 3 | 232683 | 1747 |
| 2640 | 0 | 2 | 10400 | 1 | 1967 | 6 | 5 | 210054 | 1748 |
| 1336 | 553 | 2 | 9600 | 1 | 1969 | 5 | 3 | 148807 | 1749 |
| 1216 | 955 | 1 | 9000 | 0 | 1969 | 6 | 3 | 146092 | 1750 |
| 2288 | 432 | 2 | 13774 | 2 | 1977 | 7 | 4 | 245838 | 1751 |
| 864 | 648 | 1 | 7130 | 0 | 1967 | 5 | 2 | 115748 | 1752 |
| 1568 | 0 | 2 | 9600 | 0 | 1967 | 5 | 3 | 139539 | 1753 |
| 2061 | 698 | 2 | 9600 | 1 | 1974 | 7 | 4 | 223490 | 1754 |
| 1320 | 962 | 2 | 16500 | 1 | 1971 | 6 | 3 | 176366 | 1755 |
| 894 | 734 | 2 | 7436 | 1 | 1960 | 4 | 2 | 118948 | 1756 |
| 864 | 403 | 1 | 8125 | 0 | 1959 | 5 | 3 | 112531 | 1757 |
| 1362 | 775 | 3 | 9450 | 1 | 1957 | 4 | 3 | 144470 | 1758 |
| 1728 | 625 | 2 | 13495 | 1 | 1956 | 5 | 3 | 158736 | 1759 |
| 1313 | 310 | 2 | 9350 | 1 | 1961 | 5 | 3 | 141855 | 1760 |
| 1292 | 998 | 2 | 10500 | 2 | 1964 | 5 | 3 | 160791 | 1761 |
| 2140 | 388 | 2 | 8970 | 1 | 1965 | 5 | 4 | 172490 | 1762 |
| 1576 | 568 | 2 | 11475 | 1 | 1961 | 6 | 4 | 174297 | 1763 |
| 960 | 100 | 1 | 9768 | 0 | 1955 | 5 | 2 | 109661 | 1764 |
| 1691 | 1173 | 2 | 9900 | 0 | 1967 | 6 | 2 | 176340 | 1765 |
| 1453 | 1312 | 2 | 10573 | 1 | 1961 | 6 | 3 | 179599 | 1766 |
| 1567 | 1387 | 2 | 14695 | 2 | 1966 | 6 | 2 | 197930 | 1767 |
| 1144 | 856 | 1 | 8760 | 0 | 1956 | 5 | 3 | 123517 | 1768 |
| 1329 | 544 | 2 | 12285 | 2 | 1960 | 7 | 3 | 192963 | 1769 |
| 988 | 708 | 1 | 9240 | 0 | 1959 | 6 | 3 | 133065 | 1770 |
| 1202 | 435 | 1 | 8750 | 0 | 1956 | 5 | 3 | 120179 | 1771 |
| 1382 | 172 | 1 | 8750 | 0 | 1955 | 5 | 3 | 121334 | 1772 |
| 1200 | 155 | 1 | 10400 | 2 | 1956 | 4 | 3 | 117453 | 1773 |
| 1866 | 0 | 2 | 9482 | 0 | 1958 | 5 | 4 | 146608 | 1774 |
| 1062 | 490 | 1 | 8128 | 0 | 1954 | 6 | 3 | 130328 | 1775 |
| 1112 | 308 | 2 | 13070 | 0 | 1951 | 5 | 2 | 125535 | 1776 |
| 793 | 700 | 1 | 8480 | 0 | 1945 | 5 | 2 | 108944 | 1777 |
| 1031 | 931 | 1 | 7626 | 0 | 1952 | 5 | 2 | 118582 | 1778 |
| 1210 | 0 | 1 | 9533 | 0 | 1953 | 5 | 2 | 113653 | 1779 |
| 1527 | 699 | 2 | 11419 | 1 | 1948 | 7 | 3 | 186754 | 1780 |
| 1200 | 390 | 1 | 9600 | 0 | 1950 | 5 | 3 | 118134 | 1781 |
| 792 | 0 | 1 | 5470 | 0 | 1958 | 3 | 2 | 83723 | 1782 |
| 1352 | 0 | 2 | 10800 | 0 | 1939 | 5 | 4 | 126460 | 1783 |
| 1039 | 0 | 1 | 8146 | 0 | 1900 | 4 | 2 | 85770 | 1784 |
| 1078 | 0 | 1 | 10230 | 0 | 1925 | 5 | 3 | 104623 | 1785 |
| 2377 | 0 | 2 | 10410 | 1 | 1915 | 4 | 3 | 136877 | 1786 |
| 1690 | 0 | 2 | 7200 | 0 | 1910 | 7 | 4 | 155767 | 1787 |
| 599 | 0 | 0 | 5400 | 0 | 1940 | 2 | 2 | 63212 | 1788 |
| 846 | 0 | 2 | 10800 | 0 | 1920 | 5 | 2 | 106334 | 1789 |
| 725 | 0 | 1 | 10800 | 0 | 1890 | 3 | 1 | 69945 | 1790 |
| 2544 | 0 | 3 | 9671 | 0 | 1969 | 6 | 6 | 215611 | 1791 |
| 1380 | 384 | 1 | 10143 | 0 | 1963 | 6 | 3 | 141551 | 1792 |
| 1040 | 872 | 2 | 11500 | 1 | 1967 | 6 | 3 | 161357 | 1793 |
| 951 | 745 | 2 | 8010 | 0 | 1958 | 6 | 2 | 141882 | 1794 |
| 1105 | 546 | 1 | 10454 | 0 | 1957 | 6 | 3 | 134007 | 1795 |
| 1142 | 0 | 1 | 9000 | 1 | 1958 | 6 | 2 | 133801 | 1796 |
| 1133 | 621 | 2 | 8064 | 0 | 1950 | 6 | 3 | 144364 | 1797 |
| 1041 | 0 | 1 | 7350 | 0 | 1958 | 5 | 3 | 111835 | 1798 |
| 732 | 630 | 1 | 7200 | 0 | 1952 | 5 | 2 | 108401 | 1799 |
| 1183 | 433 | 1 | 8000 | 0 | 1959 | 5 | 3 | 120342 | 1800 |
| 1461 | 0 | 1 | 10800 | 0 | 1949 | 4 | 4 | 108855 | 1801 |
| 1495 | 120 | 2 | 8064 | 0 | 1948 | 6 | 3 | 147553 | 1802 |
| 1806 | 0 | 2 | 7570 | 0 | 1964 | 6 | 4 | 163413 | 1803 |
| 941 | 941 | 2 | 8604 | 0 | 1978 | 5 | 2 | 135852 | 1804 |
| 1045 | 826 | 1 | 7936 | 1 | 1963 | 6 | 3 | 144702 | 1805 |
| 1378 | 0 | 1 | 4080 | 0 | 1935 | 6 | 3 | 125220 | 1806 |
| 1944 | 633 | 2 | 10307 | 0 | 1910 | 6 | 4 | 156999 | 1807 |
| 1306 | 0 | 2 | 15660 | 0 | 1910 | 5 | 3 | 116763 | 1808 |
| 1464 | 0 | 0 | 9900 | 0 | 1910 | 5 | 3 | 99934 | 1809 |
| 1558 | 421 | 2 | 6406 | 1 | 1939 | 5 | 3 | 141438 | 1810 |
| 1701 | 0 | 0 | 7627 | 0 | 1920 | 4 | 4 | 96722 | 1811 |
| 1447 | 0 | 0 | 10134 | 0 | 1910 | 5 | 3 | 99655 | 1812 |
| 1328 | 384 | 1 | 6000 | 0 | 1950 | 5 | 3 | 119969 | 1813 |
| 861 | 0 | 2 | 7404 | 0 | 1920 | 4 | 2 | 94554 | 1814 |
| 612 | 0 | 1 | 5925 | 0 | 1940 | 2 | 1 | 68354 | 1815 |
| 792 | 0 | 1 | 8520 | 0 | 1923 | 5 | 2 | 96634 | 1816 |
| 1510 | 0 | 2 | 9600 | 0 | 1910 | 4 | 3 | 107089 | 1817 |
| 2007 | 0 | 1 | 8400 | 0 | 1900 | 6 | 3 | 131951 | 1818 |
| 1288 | 0 | 1 | 3600 | 1 | 1917 | 6 | 3 | 124047 | 1819 |
| 816 | 0 | 0 | 3300 | 1 | 1910 | 4 | 2 | 80403 | 1820 |
| 1480 | 0 | 1 | 5400 | 0 | 1920 | 6 | 3 | 123602 | 1821 |
| 1521 | 0 | 3 | 9720 | 0 | 1910 | 6 | 4 | 147805 | 1822 |
| 797 | 0 | 0 | 9392 | 0 | 1900 | 3 | 2 | 67301 | 1823 |
| 1432 | 0 | 1 | 6615 | 1 | 1923 | 6 | 3 | 130731 | 1824 |
| 1654 | 0 | 1 | 4960 | 1 | 1930 | 5 | 3 | 123958 | 1825 |
| 1142 | 220 | 1 | 6000 | 0 | 1924 | 5 | 3 | 106652 | 1826 |
| 995 | 0 | 1 | 6120 | 0 | 1925 | 5 | 2 | 100525 | 1827 |
| 1582 | 273 | 1 | 6120 | 1 | 1938 | 5 | 3 | 128232 | 1828 |
| 1072 | 134 | 5 | 8635 | 0 | 1925 | 5 | 2 | 146766 | 1829 |
| 1768 | 0 | 2 | 8094 | 0 | 1915 | 6 | 3 | 142070 | 1830 |
| 1944 | 0 | 1 | 9928 | 0 | 1915 | 7 | 3 | 151756 | 1831 |
| 2128 | 0 | 0 | 3000 | 0 | 1922 | 5 | 4 | 116932 | 1832 |
| 1930 | 522 | 1 | 6876 | 0 | 1927 | 6 | 4 | 146943 | 1833 |
| 1427 | 0 | 1 | 5775 | 0 | 1915 | 6 | 3 | 120894 | 1834 |
| 1864 | 169 | 0 | 5852 | 0 | 1902 | 7 | 6 | 138029 | 1835 |
| 1666 | 0 | 1 | 5160 | 0 | 1927 | 6 | 3 | 130521 | 1836 |
| 892 | 749 | 0 | 5160 | 0 | 1923 | 4 | 1 | 85018 | 1837 |
| 1403 | 276 | 1 | 10320 | 0 | 1915 | 6 | 3 | 124998 | 1838 |
| 704 | 0 | 1 | 4280 | 0 | 1946 | 4 | 2 | 88903 | 1839 |
| 1200 | 1200 | 0 | 10800 | 0 | 1987 | 5 | 3 | 128594 | 1840 |
| 1152 | 1152 | 1 | 10547 | 0 | 1978 | 5 | 2 | 133417 | 1841 |
| 1112 | 0 | 1 | 9780 | 0 | 1934 | 5 | 4 | 108869 | 1842 |
| 1052 | 527 | 1 | 11625 | 1 | 1967 | 5 | 3 | 128696 | 1843 |
| 1034 | 456 | 2 | 8014 | 1 | 1978 | 6 | 3 | 157822 | 1844 |
| 1774 | 0 | 1 | 15400 | 1 | 1961 | 5 | 4 | 142895 | 1845 |
| 1138 | 588 | 2 | 15312 | 1 | 1960 | 6 | 3 | 159213 | 1846 |
| 2071 | 0 | 1 | 15584 | 1 | 1956 | 5 | 4 | 149961 | 1847 |
| 660 | 0 | 0 | 9000 | 0 | 1947 | 2 | 2 | 65777 | 1848 |
| 1383 | 0 | 2 | 15635 | 0 | 1954 | 4 | 2 | 117030 | 1849 |
| 1073 | 257 | 1 | 9571 | 0 | 1956 | 5 | 2 | 114073 | 1850 |
| 1639 | 342 | 1 | 9350 | 1 | 1946 | 6 | 3 | 150163 | 1851 |
| 1089 | 173 | 1 | 7440 | 1 | 1954 | 5 | 3 | 120073 | 1852 |
| 1049 | 552 | 1 | 4235 | 0 | 1984 | 5 | 2 | 123259 | 1853 |
| 1061 | 460 | 2 | 10778 | 0 | 1990 | 7 | 1 | 170280 | 1854 |
| 1338 | 70 | 2 | 19255 | 1 | 1983 | 6 | 2 | 167184 | 1855 |
| 1879 | 474 | 2 | 10560 | 1 | 1993 | 7 | 3 | 219176 | 1856 |
| 2016 | 0 | 2 | 26400 | 1 | 1880 | 5 | 4 | 137811 | 1857 |
| 2228 | 0 | 2 | 7018 | 0 | 1979 | 5 | 6 | 169028 | 1858 |
| 1535 | 0 | 2 | 7018 | 0 | 1979 | 5 | 4 | 143467 | 1859 |
| 1229 | 1094 | 2 | 7040 | 2 | 1979 | 5 | 2 | 162758 | 1860 |
| 1513 | 0 | 2 | 7007 | 0 | 1979 | 5 | 4 | 142824 | 1861 |
| 2787 | 820 | 4 | 11855 | 2 | 2000 | 7 | 6 | 361040 | 1862 |
| 2787 | 820 | 4 | 7939 | 2 | 2000 | 7 | 6 | 357142 | 1863 |
| 2787 | 820 | 4 | 7976 | 2 | 2000 | 7 | 6 | 357178 | 1864 |
| 1680 | 1021 | 3 | 10933 | 1 | 2009 | 9 | 1 | 306644 | 1865 |
| 1720 | 1104 | 3 | 10816 | 1 | 2008 | 9 | 3 | 318037 | 1866 |
| 1468 | 0 | 3 | 9178 | 1 | 2008 | 8 | 3 | 242964 | 1867 |
| 1838 | 1359 | 2 | 11422 | 2 | 2007 | 8 | 3 | 289181 | 1868 |
| 1290 | 902 | 2 | 6762 | 1 | 2007 | 7 | 2 | 204963 | 1869 |
| 1254 | 872 | 3 | 10324 | 0 | 2008 | 8 | 2 | 236756 | 1870 |
| 1498 | 24 | 3 | 11645 | 1 | 2005 | 8 | 3 | 244838 | 1871 |
| 1422 | 0 | 2 | 11646 | 1 | 2005 | 6 | 3 | 176801 | 1872 |
| 1759 | 800 | 2 | 16698 | 1 | 1992 | 7 | 3 | 223714 | 1873 |
| 990 | 755 | 1 | 9757 | 0 | 1994 | 5 | 3 | 130729 | 1874 |
| 1463 | 950 | 2 | 14753 | 0 | 1998 | 7 | 3 | 204154 | 1875 |
| 1772 | 606 | 2 | 8750 | 1 | 1998 | 6 | 3 | 195750 | 1876 |
| 1444 | 1259 | 2 | 10739 | 0 | 2002 | 7 | 3 | 209048 | 1877 |
| 1492 | 24 | 2 | 11166 | 1 | 2001 | 7 | 3 | 198582 | 1878 |
| 907 | 625 | 1 | 16269 | 0 | 1978 | 5 | 3 | 124269 | 1879 |
| 914 | 710 | 2 | 6950 | 0 | 1979 | 5 | 2 | 131964 | 1880 |
| 1611 | 1234 | 3 | 11664 | 0 | 2002 | 7 | 3 | 235688 | 1881 |
| 2184 | 0 | 2 | 12334 | 1 | 2003 | 8 | 4 | 259887 | 1882 |
| 1725 | 0 | 2 | 8749 | 0 | 2002 | 7 | 3 | 195786 | 1883 |
| 1870 | 0 | 2 | 11250 | 0 | 2001 | 7 | 3 | 202524 | 1884 |
| 1513 | 1246 | 2 | 15750 | 1 | 1999 | 8 | 2 | 248650 | 1885 |
| 1828 | 1360 | 2 | 12782 | 1 | 2002 | 8 | 3 | 270824 | 1886 |
| 1417 | 1111 | 2 | 8750 | 1 | 1997 | 7 | 3 | 212800 | 1887 |
| 1602 | 1478 | 3 | 10200 | 1 | 2007 | 8 | 3 | 286506 | 1888 |
| 1396 | 0 | 2 | 11069 | 1 | 2007 | 6 | 3 | 176467 | 1889 |
| 1149 | 399 | 1 | 10682 | 0 | 1960 | 4 | 3 | 107680 | 1890 |
| 1072 | 547 | 2 | 3675 | 0 | 2005 | 6 | 2 | 158555 | 1891 |
| 876 | 332 | 1 | 6410 | 0 | 1959 | 4 | 3 | 99810 | 1892 |
| 1368 | 1078 | 1 | 11767 | 0 | 1950 | 5 | 3 | 131081 | 1893 |
| 1678 | 0 | 0 | 10926 | 0 | 1959 | 5 | 6 | 122476 | 1894 |
| 1560 | 546 | 1 | 11767 | 1 | 1956 | 5 | 2 | 137479 | 1895 |
| 1298 | 626 | 1 | 8212 | 2 | 1941 | 5 | 3 | 133929 | 1896 |
| 1268 | 832 | 1 | 6300 | 2 | 1938 | 5 | 3 | 133968 | 1897 |
| 1242 | 0 | 1 | 5707 | 1 | 1935 | 6 | 3 | 129280 | 1898 |
| 1232 | 0 | 2 | 8574 | 1 | 1916 | 6 | 3 | 135160 | 1899 |
| 1228 | 0 | 1 | 7155 | 1 | 1918 | 7 | 3 | 138640 | 1900 |
| 1567 | 728 | 2 | 13680 | 2 | 1940 | 5 | 2 | 155726 | 1901 |
| 1273 | 793 | 1 | 14680 | 0 | 1960 | 5 | 2 | 127907 | 1902 |
| 2480 | 246 | 2 | 8145 | 2 | 1940 | 7 | 5 | 228228 | 1903 |
| 1112 | 154 | 1 | 9100 | 1 | 1954 | 5 | 2 | 119565 | 1904 |
| 1561 | 65 | 2 | 13339 | 1 | 1960 | 6 | 3 | 164338 | 1905 |
| 1523 | 312 | 1 | 15600 | 1 | 1949 | 5 | 3 | 134178 | 1906 |
| 1906 | 784 | 2 | 17500 | 2 | 1954 | 6 | 3 | 198391 | 1907 |
| 1032 | 0 | 2 | 1733 | 1 | 1980 | 6 | 2 | 147603 | 1908 |
| 1229 | 471 | 2 | 1488 | 1 | 1980 | 6 | 2 | 160380 | 1909 |
| 1229 | 0 | 2 | 1612 | 1 | 1980 | 6 | 2 | 153565 | 1910 |
| 1982 | 454 | 2 | 13607 | 1 | 1986 | 6 | 3 | 198120 | 1911 |
| 2365 | 803 | 2 | 17597 | 2 | 1971 | 7 | 3 | 254343 | 1912 |
| 2168 | 0 | 2 | 8660 | 0 | 1900 | 5 | 5 | 136192 | 1913 |
| 572 | 0 | 1 | 10200 | 0 | 1925 | 4 | 2 | 83507 | 1914 |
| 1648 | 1476 | 2 | 3843 | 1 | 2007 | 8 | 2 | 257673 | 1915 |
| 810 | 0 | 1 | 21780 | 0 | 1910 | 2 | 1 | 69000 | 1916 |
| 2052 | 445 | 3 | 10125 | 1 | 2000 | 8 | 3 | 280160 | 1917 |
| 926 | 767 | 1 | 9750 | 1 | 1977 | 6 | 2 | 144490 | 1918 |
| 1287 | 841 | 2 | 9360 | 2 | 1977 | 6 | 2 | 180009 | 1919 |
| 1595 | 55 | 2 | 11070 | 0 | 1991 | 5 | 2 | 148563 | 1920 |
| 2036 | 1758 | 3 | 13438 | 1 | 2008 | 9 | 3 | 362950 | 1921 |
| 1641 | 1115 | 3 | 14463 | 0 | 2008 | 9 | 3 | 299559 | 1922 |
| 2237 | 462 | 2 | 9839 | 1 | 1980 | 6 | 3 | 203554 | 1923 |
| 1479 | 904 | 2 | 14419 | 1 | 1987 | 7 | 3 | 209455 | 1924 |
| 2014 | 0 | 2 | 9157 | 0 | 2003 | 7 | 3 | 208352 | 1925 |
| 1978 | 1640 | 3 | 12633 | 1 | 2007 | 9 | 2 | 349005 | 1926 |
| 1008 | 532 | 1 | 12518 | 0 | 1968 | 5 | 3 | 121387 | 1927 |
| 1404 | 594 | 2 | 13383 | 1 | 1969 | 5 | 3 | 153045 | 1928 |
| 796 | 720 | 1 | 7689 | 0 | 1972 | 5 | 2 | 116549 | 1929 |
| 1091 | 114 | 1 | 7706 | 0 | 1993 | 6 | 2 | 137713 | 1930 |
| 883 | 718 | 2 | 7669 | 1 | 1992 | 5 | 2 | 143497 | 1931 |
| 1287 | 330 | 2 | 10429 | 0 | 1992 | 5 | 3 | 144977 | 1932 |
| 1632 | 496 | 2 | 10457 | 1 | 1969 | 5 | 4 | 159409 | 1933 |
| 1604 | 706 | 2 | 8702 | 1 | 1997 | 6 | 3 | 190461 | 1934 |
| 1470 | 476 | 2 | 8139 | 1 | 1995 | 6 | 3 | 180255 | 1935 |
| 1604 | 851 | 2 | 9535 | 0 | 1998 | 6 | 3 | 183598 | 1936 |
| 1636 | 138 | 2 | 15038 | 1 | 1996 | 6 | 3 | 184607 | 1937 |
| 1384 | 450 | 2 | 14137 | 0 | 1996 | 5 | 3 | 152570 | 1938 |
| 1682 | 656 | 2 | 6264 | 1 | 1997 | 8 | 1 | 233334 | 1939 |
| 1280 | 0 | 2 | 5070 | 0 | 1992 | 8 | 2 | 190763 | 1940 |
| 1633 | 0 | 2 | 11184 | 1 | 1998 | 6 | 3 | 181108 | 1941 |
| 1709 | 504 | 2 | 14067 | 0 | 1991 | 6 | 3 | 180716 | 1942 |
| 1337 | 319 | 2 | 5950 | 1 | 1989 | 8 | 2 | 208966 | 1943 |
| 2500 | 16 | 3 | 13543 | 1 | 2005 | 8 | 5 | 308496 | 1944 |
| 1884 | 1337 | 3 | 15401 | 1 | 2004 | 9 | 2 | 332979 | 1945 |
| 1474 | 0 | 2 | 31220 | 2 | 1952 | 6 | 3 | 174665 | 1946 |
| 1710 | 1034 | 2 | 8118 | 1 | 2007 | 9 | 2 | 283180 | 1947 |
| 1488 | 0 | 2 | 47280 | 1 | 1950 | 6 | 3 | 172479 | 1948 |
| 1688 | 983 | 2 | 12680 | 1 | 1988 | 7 | 2 | 217054 | 1949 |
| 1260 | 747 | 2 | 10825 | 0 | 1983 | 7 | 3 | 183210 | 1950 |
| 2064 | 1206 | 2 | 18559 | 2 | 1978 | 7 | 3 | 253459 | 1951 |
| 1782 | 864 | 2 | 14450 | 1 | 1979 | 7 | 3 | 217541 | 1952 |
| 1211 | 890 | 2 | 13068 | 1 | 1976 | 6 | 3 | 171865 | 1953 |
| 2044 | 0 | 2 | 10400 | 1 | 1980 | 7 | 3 | 209867 | 1954 |
| 1308 | 280 | 2 | 9743 | 0 | 1969 | 5 | 3 | 136597 | 1955 |
| 2840 | 988 | 4 | 12511 | 2 | 1978 | 7 | 4 | 343410 | 1956 |
| 1444 | 0 | 2 | 10400 | 1 | 1976 | 6 | 2 | 162733 | 1957 |
| 2340 | 1023 | 3 | 14311 | 1 | 1996 | 8 | 4 | 317614 | 1958 |
| 1792 | 0 | 2 | 9000 | 0 | 1974 | 5 | 4 | 150093 | 1959 |
| 936 | 252 | 1 | 10295 | 0 | 1969 | 4 | 2 | 102711 | 1960 |
| 864 | 119 | 2 | 7560 | 0 | 1971 | 5 | 3 | 122854 | 1961 |
| 987 | 458 | 1 | 1680 | 0 | 1973 | 6 | 2 | 130264 | 1962 |
| 987 | 483 | 1 | 1890 | 0 | 1972 | 6 | 2 | 130318 | 1963 |
| 1302 | 350 | 1 | 1680 | 0 | 1972 | 5 | 3 | 124162 | 1964 |
| 1456 | 286 | 2 | 2308 | 0 | 1975 | 6 | 4 | 158333 | 1965 |
| 1055 | 378 | 2 | 2529 | 0 | 1977 | 7 | 2 | 161599 | 1966 |
| 1582 | 1012 | 3 | 12704 | 0 | 2007 | 8 | 3 | 260440 | 1967 |
| 2464 | 1728 | 3 | 13693 | 1 | 2007 | 8 | 4 | 356791 | 1968 |
| 1950 | 1375 | 3 | 14418 | 1 | 2007 | 9 | 2 | 340268 | 1969 |
| 2748 | 1420 | 3 | 13418 | 1 | 2006 | 9 | 4 | 409073 | 1970 |
| 2790 | 1082 | 4 | 12539 | 1 | 2005 | 10 | 4 | 484427 | 1971 |
| 2331 | 1249 | 3 | 12151 | 1 | 2005 | 9 | 3 | 363484 | 1972 |
| 2088 | 40 | 3 | 8899 | 1 | 2007 | 8 | 4 | 278882 | 1973 |
| 2332 | 856 | 3 | 10574 | 1 | 2004 | 8 | 4 | 315214 | 1974 |
| 2470 | 2257 | 3 | 12720 | 2 | 2003 | 10 | 1 | 471877 | 1975 |
| 1575 | 1149 | 3 | 10845 | 1 | 2003 | 8 | 2 | 270916 | 1976 |
| 2649 | 1075 | 3 | 16900 | 1 | 2001 | 8 | 4 | 346516 | 1977 |
| 2690 | 0 | 3 | 16451 | 1 | 2003 | 8 | 4 | 317375 | 1978 |
| 1866 | 372 | 3 | 10110 | 1 | 2008 | 9 | 2 | 301887 | 1979 |
| 1367 | 20 | 2 | 12304 | 1 | 2005 | 7 | 2 | 193808 | 1980 |
| 1800 | 1204 | 3 | 8232 | 1 | 2007 | 9 | 2 | 319350 | 1981 |
| 1342 | 846 | 2 | 6240 | 1 | 2006 | 8 | 2 | 229356 | 1982 |
| 1342 | 24 | 2 | 6240 | 1 | 2006 | 8 | 2 | 212490 | 1983 |
| 1626 | 0 | 2 | 2448 | 0 | 2003 | 7 | 2 | 186838 | 1984 |
| 1455 | 1073 | 3 | 3940 | 1 | 2003 | 7 | 2 | 230497 | 1985 |
| 1576 | 1087 | 3 | 3940 | 1 | 2004 | 7 | 2 | 237118 | 1986 |
| 1246 | 0 | 2 | 3710 | 1 | 2007 | 7 | 2 | 185237 | 1987 |
| 1515 | 0 | 2 | 9024 | 1 | 2004 | 6 | 3 | 178417 | 1988 |
| 1720 | 0 | 2 | 8010 | 1 | 2002 | 7 | 3 | 206218 | 1989 |
| 1986 | 0 | 2 | 8396 | 1 | 2003 | 7 | 4 | 220998 | 1990 |
| 1358 | 876 | 2 | 7301 | 1 | 2007 | 7 | 2 | 207617 | 1991 |
| 1892 | 544 | 2 | 8220 | 1 | 2000 | 7 | 3 | 223621 | 1992 |
| 1414 | 0 | 2 | 7750 | 1 | 2002 | 7 | 3 | 193675 | 1993 |
| 2322 | 870 | 2 | 12460 | 1 | 1999 | 7 | 4 | 256830 | 1994 |
| 1651 | 0 | 2 | 8390 | 1 | 1999 | 7 | 3 | 202053 | 1995 |
| 2199 | 0 | 2 | 9660 | 1 | 1997 | 8 | 3 | 251944 | 1996 |
| 2172 | 0 | 3 | 11000 | 1 | 2000 | 9 | 4 | 312169 | 1997 |
| 2006 | 1660 | 3 | 11675 | 1 | 1998 | 8 | 2 | 306899 | 1998 |
| 2125 | 851 | 2 | 10990 | 2 | 1996 | 7 | 4 | 257275 | 1999 |
| 2501 | 0 | 3 | 11929 | 1 | 1995 | 8 | 4 | 295693 | 2000 |
| 2197 | 228 | 3 | 10010 | 1 | 1993 | 7 | 4 | 251525 | 2001 |
| 1578 | 1096 | 3 | 13253 | 1 | 2006 | 7 | 3 | 247727 | 2002 |
| 1861 | 0 | 3 | 9801 | 1 | 2007 | 8 | 3 | 262912 | 2003 |
| 1874 | 729 | 3 | 9428 | 1 | 2007 | 8 | 3 | 281790 | 2004 |
| 1460 | 666 | 2 | 10037 | 1 | 2006 | 8 | 3 | 236212 | 2005 |
| 1372 | 24 | 2 | 8640 | 0 | 2007 | 8 | 3 | 206620 | 2006 |
| 1660 | 0 | 3 | 10625 | 1 | 2007 | 8 | 3 | 252992 | 2007 |
| 1218 | 902 | 2 | 7500 | 0 | 2007 | 7 | 2 | 191581 | 2008 |
| 1696 | 80 | 2 | 10110 | 0 | 2003 | 6 | 3 | 176584 | 2009 |
| 1663 | 0 | 2 | 12774 | 0 | 2003 | 7 | 3 | 195997 | 2010 |
| 1175 | 80 | 0 | 13072 | 0 | 2005 | 6 | 3 | 135595 | 2011 |
| 1162 | 0 | 2 | 9260 | 0 | 2007 | 7 | 3 | 177107 | 2012 |
| 1609 | 362 | 2 | 8453 | 0 | 1995 | 6 | 3 | 173792 | 2013 |
| 1680 | 602 | 2 | 8480 | 0 | 1993 | 6 | 3 | 179405 | 2014 |
| 1657 | 537 | 2 | 14565 | 0 | 1994 | 7 | 3 | 202218 | 2015 |
| 1677 | 472 | 2 | 8450 | 0 | 2001 | 6 | 3 | 180691 | 2016 |
| 1737 | 397 | 2 | 8285 | 0 | 1992 | 7 | 3 | 198377 | 2017 |
| 984 | 53 | 1 | 9100 | 1 | 1963 | 5 | 3 | 119422 | 2018 |
| 864 | 764 | 1 | 8100 | 1 | 1961 | 5 | 3 | 123551 | 2019 |
| 890 | 890 | 1 | 8450 | 0 | 1968 | 5 | 3 | 121153 | 2020 |
| 864 | 489 | 1 | 6360 | 0 | 1963 | 5 | 3 | 114010 | 2021 |
| 1430 | 800 | 2 | 19508 | 2 | 1974 | 6 | 3 | 190678 | 2022 |
| 1641 | 190 | 2 | 10759 | 1 | 1972 | 5 | 4 | 156517 | 2023 |
| 2683 | 704 | 2 | 9205 | 2 | 1990 | 6 | 4 | 249304 | 2024 |
| 2786 | 520 | 2 | 11025 | 1 | 1993 | 9 | 4 | 334664 | 2025 |
| 1245 | 24 | 2 | 3435 | 0 | 2004 | 7 | 1 | 172212 | 2026 |
| 1200 | 390 | 2 | 3180 | 0 | 2005 | 6 | 2 | 160146 | 2027 |
| 1392 | 0 | 2 | 3180 | 0 | 2007 | 7 | 2 | 180330 | 2028 |
| 1549 | 550 | 2 | 2280 | 0 | 1999 | 6 | 3 | 173471 | 2029 |
| 1638 | 1027 | 2 | 4765 | 1 | 2000 | 9 | 2 | 271542 | 2030 |
| 1310 | 1004 | 2 | 4538 | 1 | 2001 | 9 | 1 | 251040 | 2031 |
| 1419 | 964 | 2 | 4385 | 1 | 2001 | 9 | 2 | 258606 | 2032 |
| 1557 | 1141 | 2 | 4109 | 1 | 1999 | 9 | 2 | 268804 | 2033 |
| 1404 | 600 | 2 | 2160 | 0 | 1999 | 7 | 3 | 189042 | 2034 |
| 1789 | 681 | 2 | 10646 | 1 | 2001 | 7 | 3 | 223859 | 2035 |
| 1586 | 612 | 2 | 2645 | 0 | 1999 | 8 | 3 | 219723 | 2036 |
| 1607 | 813 | 2 | 2645 | 0 | 1999 | 8 | 3 | 224821 | 2037 |
| 2393 | 128 | 2 | 3951 | 1 | 1998 | 10 | 2 | 322932 | 2038 |
| 1239 | 560 | 2 | 11064 | 1 | 1995 | 8 | 1 | 213167 | 2039 |
| 2944 | 410 | 3 | 24572 | 1 | 1977 | 9 | 3 | 367517 | 2040 |
| 1671 | 1044 | 2 | 16280 | 1 | 1976 | 8 | 3 | 241111 | 2041 |
| 1812 | 0 | 2 | 7500 | 1 | 2002 | 7 | 3 | 209803 | 2042 |
| 1427 | 828 | 2 | 11104 | 0 | 1969 | 6 | 4 | 167106 | 2043 |
| 1740 | 301 | 2 | 11050 | 1 | 1968 | 6 | 4 | 178653 | 2044 |
| 1620 | 603 | 2 | 15387 | 1 | 1967 | 7 | 4 | 202301 | 2045 |
| 1625 | 0 | 2 | 9750 | 0 | 1965 | 5 | 4 | 142177 | 2046 |
| 1464 | 732 | 2 | 8814 | 0 | 1968 | 5 | 4 | 148017 | 2047 |
| 925 | 260 | 2 | 8125 | 0 | 1965 | 5 | 3 | 124349 | 2048 |
| 1728 | 0 | 2 | 11072 | 0 | 1965 | 5 | 6 | 149171 | 2049 |
| 1670 | 583 | 2 | 13355 | 0 | 1971 | 7 | 4 | 193908 | 2050 |
| 1014 | 0 | 1 | 7785 | 0 | 1956 | 5 | 2 | 109513 | 2051 |
| 1114 | 0 | 2 | 9900 | 0 | 1961 | 5 | 3 | 125488 | 2052 |
| 1118 | 528 | 1 | 11332 | 0 | 1960 | 5 | 3 | 121233 | 2053 |
| 906 | 120 | 1 | 4882 | 0 | 1937 | 4 | 2 | 91736 | 2054 |
| 1496 | 658 | 2 | 9600 | 0 | 1960 | 5 | 3 | 143663 | 2055 |
| 1337 | 32 | 1 | 9600 | 1 | 1950 | 5 | 3 | 124126 | 2056 |
| 1036 | 531 | 1 | 7584 | 0 | 1953 | 5 | 3 | 115996 | 2057 |
| 1988 | 575 | 2 | 14670 | 1 | 1966 | 6 | 4 | 193685 | 2058 |
| 1176 | 621 | 1 | 8856 | 2 | 1957 | 5 | 3 | 136146 | 2059 |
| 1440 | 1053 | 1 | 9840 | 0 | 1959 | 5 | 2 | 133408 | 2060 |
| 1570 | 958 | 2 | 13200 | 1 | 1958 | 6 | 3 | 177925 | 2061 |
| 1104 | 774 | 1 | 10425 | 0 | 1956 | 5 | 3 | 122152 | 2062 |
| 882 | 148 | 1 | 11556 | 0 | 1952 | 5 | 2 | 108152 | 2063 |
| 1152 | 500 | 2 | 9373 | 0 | 1953 | 5 | 3 | 129671 | 2064 |
| 950 | 624 | 2 | 12774 | 0 | 1953 | 5 | 2 | 125620 | 2065 |
| 1790 | 0 | 2 | 14250 | 2 | 1957 | 6 | 3 | 179888 | 2066 |
| 1764 | 0 | 1 | 8838 | 1 | 1957 | 5 | 4 | 138647 | 2067 |
| 1824 | 0 | 2 | 12436 | 0 | 1957 | 5 | 5 | 147922 | 2068 |
| 869 | 0 | 1 | 10122 | 0 | 1948 | 4 | 1 | 92799 | 2069 |
| 1159 | 0 | 1 | 7506 | 0 | 1925 | 5 | 3 | 105555 | 2070 |
| 672 | 0 | 1 | 5400 | 0 | 1940 | 4 | 2 | 87290 | 2071 |
| 1436 | 0 | 4 | 10836 | 1 | 1922 | 5 | 3 | 152883 | 2072 |
| 1044 | 744 | 2 | 10180 | 1 | 1968 | 5 | 3 | 142640 | 2073 |
| 1312 | 637 | 2 | 11355 | 1 | 1958 | 7 | 3 | 182211 | 2074 |
| 1081 | 697 | 1 | 12929 | 0 | 1960 | 6 | 3 | 137193 | 2075 |
| 876 | 432 | 2 | 7200 | 1 | 1951 | 5 | 2 | 125834 | 2076 |
| 1256 | 476 | 1 | 8000 | 0 | 1959 | 5 | 3 | 122625 | 2077 |
| 1027 | 520 | 1 | 8000 | 0 | 1962 | 5 | 3 | 118423 | 2078 |
| 1320 | 315 | 2 | 8064 | 0 | 1948 | 6 | 3 | 145014 | 2079 |
| 984 | 0 | 1 | 6390 | 0 | 1954 | 6 | 2 | 120561 | 2080 |
| 1278 | 673 | 1 | 7200 | 0 | 1954 | 6 | 4 | 139772 | 2081 |
| 1800 | 0 | 0 | 8513 | 0 | 1961 | 5 | 6 | 125328 | 2082 |
| 1588 | 370 | 2 | 7200 | 0 | 1955 | 5 | 3 | 139806 | 2083 |
| 825 | 0 | 1 | 7200 | 0 | 1954 | 5 | 2 | 104703 | 2084 |
| 1117 | 0 | 1 | 7590 | 0 | 1963 | 5 | 3 | 115070 | 2085 |
| 1133 | 96 | 1 | 9836 | 0 | 2008 | 6 | 3 | 146495 | 2086 |
| 1323 | 0 | 2 | 9184 | 0 | 1948 | 5 | 3 | 126499 | 2087 |
| 1360 | 0 | 1 | 4800 | 0 | 1910 | 5 | 2 | 103898 | 2088 |
| 672 | 0 | 1 | 4800 | 0 | 1940 | 5 | 2 | 97379 | 2089 |
| 1456 | 0 | 1 | 6000 | 0 | 1915 | 6 | 4 | 123119 | 2090 |
| 1594 | 0 | 0 | 11426 | 0 | 1910 | 4 | 3 | 92208 | 2091 |
| 1656 | 0 | 2 | 7628 | 0 | 1940 | 4 | 2 | 116831 | 2092 |
| 1740 | 360 | 1 | 7308 | 1 | 1920 | 5 | 2 | 126559 | 2093 |
| 1027 | 0 | 0 | 5400 | 1 | 1920 | 7 | 2 | 120743 | 2094 |
| 1436 | 590 | 2 | 10800 | 2 | 1940 | 6 | 3 | 167925 | 2095 |
| 899 | 0 | 1 | 6756 | 0 | 1910 | 5 | 2 | 95142 | 2096 |
| 1080 | 0 | 0 | 5914 | 0 | 1890 | 5 | 3 | 86994 | 2097 |
| 1499 | 445 | 3 | 9000 | 1 | 1946 | 5 | 3 | 156428 | 2098 |
| 407 | 0 | 1 | 7311 | 0 | 1946 | 2 | 1 | 66815 | 2099 |
| 1588 | 0 | 0 | 12205 | 0 | 1949 | 3 | 5 | 93177 | 2100 |
| 1627 | 0 | 2 | 9142 | 0 | 1900 | 5 | 4 | 120783 | 2101 |
| 1450 | 116 | 1 | 5350 | 0 | 1920 | 7 | 3 | 138749 | 2102 |
| 1017 | 0 | 1 | 9143 | 0 | 1900 | 5 | 2 | 95681 | 2103 |
| 2350 | 234 | 2 | 9600 | 0 | 1920 | 5 | 4 | 150409 | 2104 |
| 1540 | 0 | 0 | 6000 | 0 | 1905 | 5 | 3 | 99153 | 2105 |
| 1086 | 0 | 2 | 11340 | 0 | 1920 | 2 | 2 | 80126 | 2106 |
| 2495 | 0 | 2 | 10800 | 1 | 1890 | 7 | 5 | 188379 | 2107 |
| 984 | 200 | 1 | 9750 | 0 | 1959 | 5 | 2 | 112332 | 2108 |
| 1093 | 0 | 1 | 8516 | 0 | 1958 | 4 | 2 | 100285 | 2109 |
| 1143 | 406 | 1 | 7111 | 1 | 1928 | 5 | 2 | 114815 | 2110 |
| 1668 | 0 | 1 | 7425 | 0 | 1945 | 7 | 3 | 153556 | 2111 |
| 1738 | 175 | 1 | 7010 | 1 | 1935 | 5 | 3 | 130498 | 2112 |
| 1210 | 600 | 1 | 5000 | 0 | 1941 | 5 | 3 | 116537 | 2113 |
| 1290 | 0 | 1 | 5870 | 0 | 1900 | 6 | 3 | 113303 | 2114 |
| 1672 | 521 | 1 | 6000 | 1 | 1940 | 6 | 3 | 150028 | 2115 |
| 949 | 0 | 2 | 6000 | 1 | 1924 | 5 | 2 | 114330 | 2116 |
| 1497 | 201 | 1 | 6000 | 0 | 1937 | 6 | 3 | 132048 | 2117 |
| 1342 | 264 | 1 | 6000 | 1 | 1939 | 6 | 2 | 135073 | 2118 |
| 1013 | 0 | 1 | 5000 | 0 | 1926 | 6 | 3 | 114003 | 2119 |
| 1216 | 68 | 1 | 5520 | 1 | 1920 | 5 | 3 | 111512 | 2120 |
| 896 | NA | 1 | 5940 | 0 | 1946 | 4 | 2 | 160380 | 2121 |
| 1136 | 80 | 1 | 6240 | 0 | 1929 | 4 | 2 | 94224 | 2122 |
| 808 | 0 | 1 | 6120 | 0 | 1945 | 5 | 1 | 100540 | 2123 |
| 2009 | 300 | 2 | 6240 | 1 | 1939 | 7 | 4 | 193525 | 2124 |
| 1902 | 203 | 2 | 6120 | 0 | 1923 | 5 | 4 | 136658 | 2125 |
| 1716 | 0 | 2 | 9144 | 0 | 1915 | 6 | 4 | 142654 | 2126 |
| 1984 | 196 | 1 | 8094 | 0 | 1910 | 6 | 5 | 140260 | 2127 |
| 1609 | 0 | 1 | 4347 | 0 | 1910 | 6 | 3 | 123397 | 2128 |
| 768 | 0 | 2 | 6291 | 0 | 1930 | 6 | 1 | 117035 | 2129 |
| 1536 | 372 | 1 | 10266 | 0 | 1952 | 6 | 4 | 143720 | 2130 |
| 1969 | 0 | 2 | 6876 | 1 | 1938 | 6 | 4 | 166943 | 2131 |
| 1308 | 0 | 2 | 10320 | 0 | 1915 | 5 | 2 | 115176 | 2132 |
| 1040 | 0 | 2 | 7200 | 0 | 1925 | 6 | 2 | 123893 | 2133 |
| 1236 | 121 | 1 | 7006 | 1 | 1925 | 6 | 3 | 127832 | 2134 |
| 759 | 0 | 2 | 10320 | 0 | 1912 | 5 | 1 | 101085 | 2135 |
| 1344 | 0 | 0 | 10320 | 0 | 1915 | 3 | 3 | 79179 | 2136 |
| 1054 | 0 | 1 | 9488 | 0 | 1947 | 5 | 3 | 109750 | 2137 |
| 1075 | 784 | 2 | 11235 | 0 | 1963 | 5 | 3 | 135075 | 2138 |
| 1096 | 528 | 2 | 13014 | 1 | 1978 | 6 | 3 | 163137 | 2139 |
| 992 | 758 | 1 | 10265 | 0 | 1967 | 5 | 3 | 122488 | 2140 |
| 1034 | 450 | 2 | 7703 | 1 | 1978 | 6 | 3 | 157598 | 2141 |
| 1073 | 221 | 1 | 9981 | 0 | 1967 | 5 | 3 | 118362 | 2142 |
| 1126 | 104 | 2 | 7400 | 0 | 1984 | 5 | 2 | 132012 | 2143 |
| 1140 | 1300 | 2 | 12900 | 0 | 1920 | 5 | 3 | 129611 | 2144 |
| 960 | 634 | 1 | 9239 | 0 | 1963 | 5 | 3 | 118771 | 2145 |
| 1188 | 776 | 2 | 14175 | 1 | 1956 | 6 | 1 | 157790 | 2146 |
| 1721 | 988 | 2 | 10532 | 2 | 1960 | 5 | 3 | 173516 | 2147 |
| 1350 | 336 | 3 | 8375 | 0 | 1941 | 5 | 2 | 138570 | 2148 |
| 904 | 704 | 3 | 10200 | 0 | 1970 | 5 | 3 | 143185 | 2149 |
| 1524 | 599 | 2 | 20270 | 2 | 1979 | 7 | 3 | 216278 | 2150 |
| 1079 | 0 | 1 | 5190 | 1 | 1948 | 7 | 2 | 142476 | 2151 |
| 1518 | 1035 | 0 | 19550 | 2 | 1940 | 5 | 2 | 135811 | 2152 |
| 1509 | 870 | 1 | 9571 | 1 | 1956 | 5 | 3 | 141018 | 2153 |
| 864 | 864 | 0 | 9350 | 0 | 1975 | 5 | 2 | 111241 | 2154 |
| 1269 | 324 | 1 | 9360 | 0 | 1962 | 6 | 3 | 136992 | 2155 |
| 2814 | 779 | 2 | 9771 | 1 | 1995 | 6 | 4 | 247458 | 2156 |
| 1626 | 1271 | 2 | 9938 | 1 | 1994 | 7 | 3 | 224396 | 2157 |
| 2200 | 355 | 2 | 14171 | 1 | 1993 | 7 | 4 | 236426 | 2158 |
| 2037 | 0 | 2 | 10541 | 1 | 1996 | 7 | 3 | 218170 | 2159 |
| 1356 | 0 | 2 | 10616 | 1 | 2007 | 7 | 3 | 195354 | 2160 |
| 1615 | 0 | 3 | 9345 | 1 | 2007 | 8 | 3 | 249807 | 2161 |
| 2276 | 2085 | 3 | 11778 | 2 | 2008 | 9 | 3 | 413093 | 2162 |
| 1766 | 1153 | 3 | 11778 | 2 | 2008 | 9 | 3 | 341615 | 2163 |
| 1511 | 770 | 3 | 11454 | 1 | 1995 | 8 | 3 | 256500 | 2164 |
| 1643 | 262 | 2 | 11500 | 1 | 1966 | 6 | 2 | 169856 | 2165 |
| 990 | 722 | 2 | 9750 | 0 | 1994 | 5 | 3 | 142009 | 2166 |
| 1418 | 1308 | 2 | 8696 | 1 | 1997 | 7 | 3 | 216742 | 2167 |
| 1771 | 688 | 2 | 13142 | 0 | 1997 | 6 | 3 | 188475 | 2168 |
| 1652 | 527 | 2 | 8998 | 0 | 2000 | 7 | 3 | 201725 | 2169 |
| 1823 | 663 | 2 | 12192 | 0 | 2000 | 7 | 3 | 213377 | 2170 |
| 1174 | 781 | 2 | 12250 | 0 | 1978 | 5 | 3 | 143420 | 2171 |
| 1076 | 294 | 2 | 9216 | 1 | 1975 | 5 | 3 | 139735 | 2172 |
| 1558 | 88 | 2 | 14330 | 0 | 1975 | 5 | 2 | 143421 | 2173 |
| 2161 | 0 | 2 | 10400 | 1 | 2001 | 7 | 3 | 226437 | 2174 |
| 1947 | 1194 | 3 | 9720 | 1 | 2001 | 9 | 3 | 329009 | 2175 |
| 1786 | 1538 | 3 | 14860 | 1 | 2002 | 8 | 3 | 299198 | 2176 |
| 2327 | 0 | 2 | 10905 | 1 | 2003 | 7 | 4 | 238467 | 2177 |
| 1764 | 0 | 2 | 11690 | 1 | 1999 | 8 | 3 | 233138 | 2178 |
| 848 | 662 | 2 | 4426 | 0 | 2004 | 6 | 1 | 151295 | 2179 |
| 1838 | 1593 | 3 | 10126 | 0 | 1997 | 6 | 2 | 221937 | 2180 |
| 1445 | 24 | 2 | 9750 | 0 | 2004 | 7 | 3 | 186839 | 2181 |
| 1564 | 56 | 3 | 11058 | 0 | 2007 | 7 | 3 | 211513 | 2182 |
| 1361 | 24 | 2 | 9627 | 0 | 2007 | 7 | 3 | 184998 | 2183 |
| 1092 | 609 | 1 | 9825 | 0 | 1966 | 5 | 3 | 122821 | 2184 |
| 1033 | 456 | 2 | 12102 | 0 | 1976 | 5 | 3 | 134505 | 2185 |
| 1127 | 1033 | 2 | 6500 | 1 | 1976 | 6 | 3 | 168134 | 2186 |
| 1117 | 368 | 2 | 9638 | 1 | 1977 | 6 | 3 | 159514 | 2187 |
| 1398 | 288 | 2 | 7200 | 1 | 1976 | 6 | 3 | 166070 | 2188 |
| 3820 | 0 | 2 | 47007 | 2 | 1959 | 5 | 5 | 273707 | 2189 |
| 1152 | 0 | 0 | 6012 | 0 | 1955 | 4 | 2 | 91810 | 2190 |
| 1152 | 0 | 0 | 6845 | 0 | 1955 | 4 | 2 | 92022 | 2191 |
| 784 | 784 | 0 | 6931 | 0 | 1955 | 4 | 2 | 91883 | 2192 |
| 1053 | 0 | 0 | 12180 | 0 | 1938 | 5 | 2 | 98050 | 2193 |
| 1137 | 0 | 0 | 8050 | 0 | 1947 | 5 | 4 | 103227 | 2194 |
| 930 | 767 | 1 | 9520 | 0 | 1953 | 4 | 2 | 103191 | 2195 |
| 1204 | 0 | 1 | 7692 | 0 | 1954 | 4 | 3 | 102516 | 2196 |
| 1292 | 224 | 1 | 5142 | 0 | 1923 | 4 | 3 | 97948 | 2197 |
| 1424 | 0 | 1 | 7290 | 1 | 1921 | 7 | 2 | 143699 | 2198 |
| 1920 | 281 | 2 | 7804 | 2 | 1930 | 6 | 4 | 176172 | 2199 |
| 1316 | 379 | 1 | 8969 | 1 | 1926 | 6 | 2 | 132569 | 2200 |
| 1264 | 0 | 2 | 15564 | 0 | 1914 | 6 | 3 | 130630 | 2201 |
| 1512 | 406 | 1 | 7609 | 1 | 1925 | 8 | 3 | 173627 | 2202 |
| 1603 | 0 | 2 | 9650 | 1 | 1923 | 6 | 4 | 150477 | 2203 |
| 1938 | 606 | 1 | 11700 | 1 | 1937 | 5 | 4 | 145717 | 2204 |
| 1374 | 0 | 1 | 9260 | 0 | 1938 | 5 | 3 | 114439 | 2205 |
| 1091 | 500 | 1 | 7801 | 1 | 1951 | 6 | 2 | 135874 | 2206 |
| 1873 | 210 | 2 | 9670 | 2 | 1935 | 8 | 4 | 220311 | 2207 |
| 2161 | 435 | 2 | 12392 | 2 | 1950 | 7 | 3 | 220618 | 2208 |
| 1898 | 1116 | 2 | 26073 | 2 | 1956 | 5 | 3 | 188137 | 2209 |
| 1032 | 366 | 2 | 1879 | 1 | 1980 | 6 | 2 | 152771 | 2210 |
| 919 | 299 | 1 | 7000 | 0 | 1926 | 6 | 2 | 114292 | 2211 |
| 1090 | 0 | 1 | 6000 | 0 | 1940 | 6 | 3 | 120236 | 2212 |
| 1200 | 0 | 0 | 8155 | 0 | 1930 | 5 | 4 | 100251 | 2213 |
| 1656 | 257 | 1 | 6000 | 1 | 1967 | 5 | 3 | 139660 | 2214 |
| 912 | 0 | 1 | 7392 | 0 | 1930 | 5 | 2 | 100440 | 2215 |
| 1955 | 330 | 1 | 9000 | 0 | 1958 | 5 | 4 | 141074 | 2216 |
| 733 | 0 | 2 | 14584 | 0 | 1952 | 1 | 2 | 72941 | 2217 |
| 1361 | 0 | 1 | 5280 | 0 | 1895 | 4 | 2 | 89708 | 2218 |
| 1049 | 0 | 1 | 5150 | 0 | 1910 | 4 | 2 | 87382 | 2219 |
| 864 | 0 | 1 | 9000 | 0 | 1920 | 4 | 3 | 88242 | 2220 |
| 1648 | 1476 | 2 | 3843 | 1 | 2007 | 8 | 2 | 257673 | 2221 |
| 1646 | 1474 | 2 | 3811 | 1 | 2004 | 7 | 2 | 228721 | 2222 |
| 2032 | 700 | 3 | 23730 | 0 | 1996 | 7 | 3 | 248823 | 2223 |
| 1820 | 0 | 3 | 11050 | 1 | 1996 | 7 | 3 | 227818 | 2224 |
| 1872 | 0 | 2 | 10260 | 0 | 1976 | 5 | 4 | 153844 | 2225 |
| 1689 | 1383 | 2 | 9990 | 1 | 1991 | 4 | 3 | 163389 | 2226 |
| 1501 | 893 | 2 | 4084 | 1 | 1986 | 7 | 2 | 201355 | 2227 |
| 1537 | 1036 | 3 | 11563 | 0 | 2006 | 8 | 3 | 257193 | 2228 |
| 1780 | 770 | 2 | 12852 | 1 | 2007 | 8 | 3 | 257124 | 2229 |
| 1442 | 0 | 2 | 9802 | 0 | 2006 | 5 | 3 | 149971 | 2230 |
| 1612 | 0 | 3 | 12018 | 0 | 2008 | 7 | 3 | 213569 | 2231 |
| 1495 | 0 | 2 | 12890 | 1 | 1989 | 6 | 3 | 173027 | 2232 |
| 1256 | 920 | 2 | 18265 | 1 | 1986 | 6 | 3 | 180895 | 2233 |
| 1440 | 1029 | 2 | 11202 | 1 | 2003 | 8 | 3 | 242298 | 2234 |
| 1675 | 1223 | 2 | 7915 | 0 | 1999 | 6 | 3 | 192425 | 2235 |
| 1728 | 1011 | 2 | 11449 | 1 | 2007 | 8 | 3 | 259179 | 2236 |
| 1964 | 1571 | 3 | 11447 | 1 | 2005 | 8 | 3 | 310525 | 2237 |
| 1344 | 1309 | 4 | 8940 | 0 | 1997 | 7 | 2 | 237334 | 2238 |
| 1092 | 0 | 0 | 9278 | 0 | 2007 | 5 | 2 | 116407 | 2239 |
| 1189 | 864 | 2 | 4500 | 0 | 1997 | 6 | 2 | 164292 | 2240 |
| 1200 | 865 | 3 | 14137 | 0 | 1964 | 4 | 3 | 137557 | 2241 |
| 1040 | 769 | 2 | 4224 | 0 | 1975 | 5 | 3 | 135339 | 2242 |
| 1475 | 318 | 1 | 2665 | 1 | 1976 | 5 | 4 | 138807 | 2243 |
| 988 | 501 | 1 | 1974 | 0 | 1973 | 4 | 2 | 104846 | 2244 |
| 988 | 437 | 1 | 1596 | 1 | 1973 | 4 | 1 | 108715 | 2245 |
| 1160 | 785 | 1 | 17979 | 0 | 1968 | 5 | 3 | 130119 | 2246 |
| 1092 | 358 | 0 | 1477 | 0 | 1970 | 6 | 3 | 121439 | 2247 |
| 816 | 534 | 1 | 6490 | 0 | 1983 | 5 | 2 | 117818 | 2248 |
| 845 | 638 | 1 | 6600 | 0 | 1982 | 5 | 3 | 120812 | 2249 |
| 889 | 647 | 2 | 12395 | 0 | 1984 | 5 | 3 | 135760 | 2250 |
| 1836 | 0 | 1 | 56600 | 0 | 1900 | 5 | 4 | 131903 | 2251 |
| 1587 | 838 | 2 | 10667 | 1 | 1971 | 6 | 3 | 181090 | 2252 |
| 1384 | 0 | 2 | 8872 | 1 | 1997 | 6 | 3 | 170668 | 2253 |
| 1694 | 186 | 2 | 10147 | 1 | 1994 | 6 | 3 | 184180 | 2254 |
| 1714 | 871 | 2 | 8637 | 1 | 1999 | 6 | 3 | 198716 | 2255 |
| 1553 | 414 | 2 | 7875 | 0 | 1996 | 7 | 3 | 193111 | 2256 |
| 2299 | 0 | 2 | 7500 | 1 | 1999 | 6 | 5 | 210578 | 2257 |
| 1187 | 0 | 2 | 9556 | 0 | 1992 | 7 | 3 | 171624 | 2258 |
| 1642 | 0 | 2 | 7655 | 1 | 1993 | 6 | 3 | 177450 | 2259 |
| 1128 | 550 | 2 | 18160 | 1 | 1964 | 6 | 3 | 161182 | 2260 |
| 1179 | 248 | 2 | 4740 | 0 | 1988 | 8 | 2 | 189186 | 2261 |
| 1321 | 926 | 2 | 5118 | 1 | 1990 | 8 | 1 | 217844 | 2262 |
| 2541 | 986 | 3 | 12328 | 1 | 2005 | 8 | 4 | 335308 | 2263 |
| 2338 | 1101 | 3 | 51974 | 2 | 2006 | 9 | 4 | 429657 | 2264 |
| 1424 | 1047 | 3 | 41600 | 0 | 1969 | 5 | 3 | 178748 | 2265 |
| 1612 | 797 | 2 | 8035 | 1 | 2006 | 9 | 2 | 270826 | 2266 |
| 2234 | 1558 | 2 | 14082 | 1 | 2006 | 8 | 1 | 296563 | 2267 |
| 2042 | 1152 | 3 | 13870 | 1 | 2006 | 10 | 3 | 382387 | 2268 |
| 1284 | 256 | 2 | 10960 | 0 | 1984 | 6 | 3 | 157857 | 2269 |
| 1479 | 321 | 2 | 12090 | 1 | 1981 | 7 | 3 | 194211 | 2270 |
| 1664 | 1328 | 2 | 12299 | 1 | 1978 | 7 | 3 | 219890 | 2271 |
| 1930 | 758 | 2 | 11339 | 1 | 1979 | 7 | 4 | 222661 | 2272 |
| 1177 | 781 | 2 | 11850 | 0 | 1984 | 6 | 3 | 162593 | 2273 |
| 1353 | 903 | 2 | 10400 | 1 | 1979 | 6 | 2 | 175044 | 2274 |
| 1220 | 492 | 2 | 13001 | 1 | 1971 | 6 | 2 | 161933 | 2275 |
| 1324 | 624 | 2 | 8991 | 1 | 1976 | 7 | 3 | 189548 | 2276 |
| 1877 | 931 | 2 | 8000 | 1 | 1974 | 6 | 4 | 196024 | 2277 |
| 1422 | 566 | 2 | 9457 | 0 | 1970 | 5 | 3 | 143799 | 2278 |
| 914 | 81 | 1 | 7920 | 0 | 1970 | 5 | 3 | 113325 | 2279 |
| 914 | 314 | 1 | 17199 | 0 | 1961 | 4 | 2 | 102765 | 2280 |
| 1337 | 0 | 2 | 4113 | 1 | 2001 | 6 | 2 | 166538 | 2281 |
| 1337 | 930 | 2 | 10943 | 1 | 1997 | 6 | 2 | 183207 | 2282 |
| 1092 | 312 | 1 | 2205 | 0 | 1973 | 6 | 3 | 133017 | 2283 |
| 1218 | 0 | 1 | 2058 | 0 | 1973 | 6 | 4 | 134069 | 2284 |
| 1055 | 632 | 1 | 2304 | 0 | 1978 | 7 | 2 | 152130 | 2285 |
| 988 | 725 | 1 | 7150 | 0 | 1966 | 5 | 3 | 120664 | 2286 |
| 1816 | 1151 | 3 | 12469 | 1 | 2006 | 9 | 3 | 325577 | 2287 |
| 1694 | 0 | 3 | 11825 | 1 | 2006 | 8 | 3 | 254955 | 2288 |
| 2122 | 1518 | 3 | 14333 | 1 | 2007 | 8 | 2 | 319453 | 2289 |
| 2656 | 1304 | 3 | 13641 | 1 | 2007 | 9 | 3 | 393797 | 2290 |
| 2550 | 0 | 3 | 13440 | 1 | 2006 | 8 | 4 | 308224 | 2291 |
| 2046 | 1430 | 3 | 15431 | 2 | 2005 | 10 | 2 | 410818 | 2292 |
| 2552 | 1812 | 3 | 13891 | 2 | 2007 | 9 | 3 | 427359 | 2293 |
| 2758 | 0 | 3 | 13654 | 1 | 2005 | 9 | 4 | 358575 | 2294 |
| 2290 | 1684 | 3 | 17169 | 1 | 2007 | 10 | 2 | 422436 | 2295 |
| 2152 | 0 | 2 | 16659 | 1 | 2007 | 8 | 3 | 260857 | 2296 |
| 2100 | 778 | 3 | 9709 | 2 | 2007 | 8 | 3 | 313337 | 2297 |
| 1802 | 0 | 3 | 13615 | 1 | 2006 | 9 | 3 | 292653 | 2298 |
| 2956 | 0 | 3 | 13069 | 1 | 2004 | 8 | 5 | 336587 | 2299 |
| 2385 | 938 | 3 | 14277 | 1 | 2003 | 8 | 3 | 319787 | 2300 |
| 1818 | 669 | 3 | 12568 | 1 | 2007 | 8 | 3 | 279482 | 2301 |
| 1614 | 1178 | 3 | 9926 | 0 | 2005 | 7 | 3 | 235230 | 2302 |
| 1721 | 119 | 2 | 9254 | 0 | 2005 | 8 | 3 | 223002 | 2303 |
| 1828 | 0 | 3 | 10732 | 0 | 2006 | 8 | 3 | 247213 | 2304 |
| 1302 | 866 | 2 | 3901 | 1 | 2005 | 6 | 1 | 178793 | 2305 |
| 1302 | 1030 | 2 | 3903 | 1 | 2005 | 6 | 1 | 181540 | 2306 |
| 1362 | 762 | 2 | 6289 | 1 | 2005 | 6 | 2 | 182561 | 2307 |
| 1554 | 24 | 2 | 4590 | 1 | 2006 | 8 | 2 | 220809 | 2308 |
| 1577 | 848 | 2 | 7841 | 1 | 2005 | 9 | 2 | 269372 | 2309 |
| 1324 | 24 | 2 | 6240 | 1 | 2006 | 8 | 2 | 211716 | 2310 |
| 1405 | 1000 | 2 | 3242 | 1 | 2003 | 7 | 2 | 207584 | 2311 |
| 1496 | 0 | 2 | 15810 | 0 | 2007 | 6 | 3 | 172704 | 2312 |
| 1536 | 0 | 2 | 10237 | 1 | 2005 | 6 | 3 | 180230 | 2313 |
| 1458 | 0 | 2 | 13204 | 0 | 2006 | 7 | 3 | 189654 | 2314 |
| 1495 | 0 | 2 | 8857 | 1 | 2006 | 6 | 3 | 178499 | 2315 |
| 1746 | 0 | 3 | 9729 | 1 | 2006 | 6 | 3 | 205148 | 2316 |
| 1326 | 918 | 2 | 12216 | 0 | 2005 | 6 | 3 | 179016 | 2317 |
| 1504 | 0 | 2 | 8229 | 0 | 2007 | 6 | 3 | 169387 | 2318 |
| 1456 | 0 | 2 | 7713 | 0 | 2007 | 7 | 3 | 187179 | 2319 |
| 1258 | 0 | 2 | 7697 | 0 | 2007 | 7 | 3 | 179807 | 2320 |
| 1589 | 1084 | 3 | 3621 | 1 | 2003 | 8 | 2 | 264696 | 2321 |
| 1266 | 0 | 2 | 3710 | 1 | 2007 | 7 | 2 | 185990 | 2322 |
| 1119 | 779 | 2 | 16219 | 0 | 2004 | 7 | 2 | 188767 | 2323 |
| 1374 | 192 | 2 | 11084 | 1 | 2004 | 7 | 3 | 198370 | 2324 |
| 1525 | 0 | 2 | 10936 | 1 | 2006 | 7 | 3 | 201839 | 2325 |
| 1394 | 0 | 2 | 11950 | 1 | 2003 | 7 | 3 | 195637 | 2326 |
| 1948 | 0 | 2 | 7875 | 1 | 2003 | 7 | 4 | 218985 | 2327 |
| 1995 | 574 | 2 | 8740 | 1 | 2002 | 7 | 4 | 233172 | 2328 |
| 1690 | 520 | 2 | 9487 | 1 | 2000 | 6 | 3 | 192336 | 2329 |
| 1644 | 0 | 2 | 9649 | 1 | 1999 | 6 | 3 | 181192 | 2330 |
| 2551 | 1181 | 3 | 12191 | 2 | 1997 | 8 | 4 | 354205 | 2331 |
| 3078 | 672 | 3 | 10557 | 1 | 1998 | 9 | 4 | 396803 | 2332 |
| 2582 | 1048 | 3 | 11002 | 1 | 1998 | 8 | 4 | 332960 | 2333 |
| 2385 | 0 | 3 | 10790 | 1 | 1998 | 7 | 4 | 259583 | 2334 |
| 2202 | 335 | 2 | 11762 | 1 | 1992 | 8 | 4 | 261402 | 2335 |
| 2538 | 1225 | 3 | 9044 | 1 | 1996 | 8 | 4 | 332003 | 2336 |
| 1369 | 0 | 2 | 9910 | 0 | 2007 | 7 | 3 | 185030 | 2337 |
| 1542 | 1220 | 3 | 11830 | 1 | 2007 | 8 | 3 | 277589 | 2338 |
| 1534 | 28 | 2 | 10612 | 1 | 2006 | 8 | 3 | 226341 | 2339 |
| 1966 | 1572 | 3 | 12291 | 1 | 2007 | 10 | 1 | 381722 | 2340 |
| 1528 | 0 | 2 | 9965 | 1 | 2007 | 7 | 3 | 201921 | 2341 |
| 1538 | 769 | 2 | 8847 | 0 | 2005 | 8 | 3 | 228002 | 2342 |
| 1506 | 778 | 2 | 8251 | 1 | 2005 | 7 | 3 | 214001 | 2343 |
| 1977 | 0 | 3 | 9605 | 0 | 2006 | 7 | 3 | 227304 | 2344 |
| 1830 | 0 | 3 | 8778 | 0 | 2006 | 8 | 3 | 245977 | 2345 |
| 1338 | 24 | 2 | 8640 | 0 | 2007 | 8 | 3 | 205201 | 2346 |
| 1335 | 0 | 2 | 9000 | 0 | 2006 | 7 | 3 | 182841 | 2347 |
| 1792 | 350 | 2 | 8640 | 0 | 2007 | 8 | 3 | 231902 | 2348 |
| 1588 | 0 | 2 | 10411 | 0 | 2007 | 5 | 3 | 155123 | 2349 |
| 1880 | 745 | 3 | 12217 | 1 | 2007 | 8 | 3 | 284745 | 2350 |
| 1584 | 0 | 2 | 10440 | 1 | 2007 | 8 | 2 | 225846 | 2351 |
| 1685 | 0 | 3 | 11824 | 1 | 2006 | 8 | 2 | 251520 | 2352 |
| 2443 | 0 | 3 | 10625 | 1 | 2004 | 6 | 4 | 238476 | 2353 |
| 1100 | 0 | 0 | 7500 | 0 | 2006 | 6 | 3 | 130853 | 2354 |
| 1143 | 0 | 0 | 7500 | 0 | 2006 | 7 | 3 | 147501 | 2355 |
| 1094 | 729 | 2 | 12450 | 0 | 2003 | 5 | 3 | 149532 | 2356 |
| 1486 | 0 | 2 | 7441 | 0 | 2006 | 7 | 3 | 187711 | 2357 |
| 1820 | 480 | 2 | 11613 | 0 | 1993 | 6 | 3 | 184081 | 2358 |
| 1266 | 0 | 1 | 8012 | 2 | 1980 | 6 | 2 | 152702 | 2359 |
| 894 | 138 | 1 | 6285 | 0 | 1977 | 5 | 2 | 113597 | 2360 |
| 1040 | 812 | 2 | 7476 | 0 | 1968 | 5 | 3 | 134743 | 2361 |
| 2503 | 727 | 2 | 19522 | 1 | 1990 | 7 | 3 | 259110 | 2362 |
| 1037 | 787 | 2 | 10751 | 0 | 1974 | 5 | 2 | 136008 | 2363 |
| 1055 | 968 | 2 | 12712 | 1 | 1973 | 6 | 2 | 164374 | 2364 |
| 1378 | 851 | 2 | 4379 | 1 | 2004 | 8 | 2 | 228812 | 2365 |
| 1151 | 60 | 2 | 3523 | 0 | 2006 | 8 | 2 | 192677 | 2366 |
| 1565 | 60 | 2 | 3784 | 0 | 2006 | 8 | 2 | 209697 | 2367 |
| 1352 | 937 | 2 | 3606 | 1 | 2006 | 7 | 2 | 205905 | 2368 |
| 1550 | 0 | 2 | 5330 | 0 | 2006 | 8 | 2 | 208791 | 2369 |
| 1501 | 565 | 2 | 2280 | 1 | 1999 | 6 | 3 | 181752 | 2370 |
| 1573 | 417 | 2 | 2117 | 0 | 2000 | 6 | 3 | 172527 | 2371 |
| 1358 | 0 | 2 | 7321 | 0 | 1999 | 7 | 3 | 179684 | 2372 |
| 2048 | 964 | 2 | 8010 | 2 | 2003 | 8 | 3 | 285290 | 2373 |
| 2362 | 901 | 2 | 8413 | 2 | 1998 | 8 | 3 | 298860 | 2374 |
| 1494 | 457 | 2 | 9466 | 1 | 1994 | 8 | 1 | 220804 | 2375 |
| 2362 | 1732 | 2 | 12000 | 1 | 1980 | 7 | 3 | 264096 | 2376 |
| 2497 | 1632 | 2 | 17778 | 2 | 1981 | 8 | 2 | 319633 | 2377 |
| 1152 | 0 | 2 | 11700 | 0 | 1968 | 6 | 3 | 144513 | 2378 |
| 2411 | 915 | 2 | 8000 | 1 | 1970 | 6 | 4 | 215949 | 2379 |
| 1082 | 973 | 2 | 8723 | 0 | 1969 | 6 | 3 | 155063 | 2380 |
| 1295 | 910 | 2 | 11700 | 0 | 1968 | 6 | 3 | 161890 | 2381 |
| 1610 | 346 | 2 | 11358 | 1 | 1972 | 7 | 3 | 195076 | 2382 |
| 1594 | 0 | 2 | 9547 | 1 | 1993 | 7 | 2 | 195100 | 2383 |
| 2075 | 819 | 2 | 10530 | 1 | 1993 | 7 | 3 | 235470 | 2384 |
| 1093 | 792 | 2 | 10738 | 1 | 1966 | 6 | 3 | 161149 | 2385 |
| 1052 | 617 | 1 | 10800 | 0 | 1963 | 6 | 3 | 135591 | 2386 |
| 1107 | 474 | 1 | 8050 | 0 | 1967 | 5 | 3 | 121364 | 2387 |
| 1224 | 0 | 3 | 10899 | 0 | 1964 | 4 | 2 | 124938 | 2388 |
| 1074 | 438 | 2 | 7450 | 1 | 1956 | 5 | 2 | 132794 | 2389 |
| 1187 | 311 | 2 | 14357 | 1 | 1961 | 5 | 2 | 138587 | 2390 |
| 964 | 700 | 2 | 8243 | 1 | 1961 | 5 | 3 | 136623 | 2391 |
| 894 | 0 | 1 | 8680 | 0 | 1960 | 5 | 3 | 109496 | 2392 |
| 1200 | 654 | 2 | 8800 | 1 | 1966 | 7 | 3 | 180706 | 2393 |
| 1042 | 494 | 2 | 9200 | 0 | 1965 | 6 | 3 | 145850 | 2394 |
| 2154 | 414 | 2 | 8800 | 1 | 1964 | 6 | 5 | 195471 | 2395 |
| 1374 | 54 | 1 | 11382 | 1 | 1964 | 6 | 3 | 145718 | 2396 |
| 1652 | 1386 | 2 | 22002 | 1 | 1959 | 6 | 3 | 193377 | 2397 |
| 908 | 130 | 2 | 12172 | 0 | 1940 | 5 | 2 | 114987 | 2398 |
| 666 | 299 | 0 | 5000 | 0 | 1946 | 3 | 2 | 74644 | 2399 |
| 670 | 144 | 0 | 3500 | 0 | 1945 | 3 | 2 | 73149 | 2400 |
| 808 | 150 | 1 | 5175 | 0 | 1958 | 5 | 2 | 106268 | 2401 |
| 1150 | 368 | 1 | 9600 | 0 | 1955 | 5 | 2 | 116787 | 2402 |
| 1560 | 0 | 3 | 8668 | 0 | 1968 | 5 | 4 | 153579 | 2403 |
| 1280 | 602 | 2 | 10050 | 1 | 1966 | 5 | 3 | 146883 | 2404 |
| 1254 | 600 | 2 | 9600 | 1 | 1961 | 6 | 3 | 161020 | 2405 |
| 936 | 873 | 1 | 8760 | 0 | 1957 | 6 | 2 | 131313 | 2406 |
| 1008 | 908 | 1 | 6860 | 0 | 1956 | 5 | 3 | 120106 | 2407 |
| 1053 | 288 | 2 | 8250 | 0 | 1963 | 5 | 3 | 127359 | 2408 |
| 1144 | 0 | 1 | 9100 | 1 | 1960 | 5 | 3 | 121840 | 2409 |
| 1721 | 668 | 2 | 9736 | 3 | 1957 | 6 | 4 | 199261 | 2410 |
| 922 | 512 | 1 | 9770 | 0 | 1957 | 5 | 2 | 113631 | 2411 |
| 1411 | 780 | 1 | 12198 | 1 | 1955 | 5 | 3 | 137752 | 2412 |
| 1216 | 288 | 1 | 10050 | 0 | 1955 | 5 | 3 | 119019 | 2413 |
| 1154 | 408 | 1 | 11556 | 0 | 1953 | 5 | 3 | 118754 | 2414 |
| 1560 | 0 | 2 | 8078 | 0 | 1958 | 5 | 4 | 137255 | 2415 |
| 948 | 441 | 2 | 10950 | 0 | 1952 | 6 | 2 | 136914 | 2416 |
| 1040 | 85 | 1 | 7942 | 0 | 1953 | 6 | 3 | 124581 | 2417 |
| 925 | 114 | 1 | 8540 | 0 | 1956 | 5 | 3 | 110214 | 2418 |
| 1540 | 150 | 1 | 7150 | 0 | 1955 | 4 | 4 | 112707 | 2419 |
| 925 | 793 | 1 | 8400 | 2 | 1955 | 5 | 3 | 130658 | 2420 |
| 1647 | 595 | 1 | 9532 | 1 | 1953 | 4 | 3 | 125548 | 2421 |
| 924 | 292 | 1 | 15783 | 0 | 1952 | 5 | 2 | 111848 | 2422 |
| 1544 | 0 | 0 | 14190 | 0 | 1890 | 4 | 3 | 87514 | 2423 |
| 1728 | 198 | 1 | 12099 | 1 | 1953 | 5 | 3 | 138432 | 2424 |
| 3086 | 0 | 3 | 21281 | 0 | 1935 | 5 | 4 | 199613 | 2425 |
| 1281 | 1030 | 2 | 10284 | 0 | 1925 | 4 | 1 | 114287 | 2426 |
| 1534 | 0 | 0 | 10800 | 0 | 1895 | 5 | 3 | 97891 | 2427 |
| 1651 | 242 | 1 | 10090 | 2 | 1963 | 7 | 4 | 186229 | 2428 |
| 888 | 192 | 1 | 8700 | 0 | 1961 | 5 | 3 | 111616 | 2429 |
| 952 | 952 | 1 | 8300 | 0 | 1968 | 6 | 3 | 137829 | 2430 |
| 1238 | 432 | 1 | 7200 | 1 | 1950 | 5 | 3 | 125430 | 2431 |
| 1040 | 574 | 1 | 7500 | 0 | 1959 | 5 | 3 | 118281 | 2432 |
| 1170 | 625 | 1 | 7315 | 1 | 1958 | 5 | 3 | 128526 | 2433 |
| 1242 | 739 | 1 | 7903 | 0 | 1960 | 5 | 3 | 125581 | 2434 |
| 1377 | 1098 | 1 | 8000 | 2 | 1960 | 5 | 3 | 148992 | 2435 |
| 925 | 0 | 1 | 7000 | 0 | 1961 | 5 | 3 | 109948 | 2436 |
| 864 | 110 | 1 | 6600 | 0 | 1962 | 5 | 2 | 108582 | 2437 |
| 936 | 734 | 1 | 6760 | 1 | 1962 | 5 | 3 | 124866 | 2438 |
| 960 | 0 | 2 | 6978 | 0 | 1926 | 5 | 2 | 109293 | 2439 |
| 1296 | 276 | 2 | 6000 | 0 | 1927 | 6 | 3 | 135687 | 2440 |
| 1022 | 782 | 1 | 4480 | 1 | 1922 | 5 | 2 | 113467 | 2441 |
| 967 | 0 | 1 | 3153 | 1 | 1920 | 5 | 2 | 103445 | 2442 |
| 1072 | 0 | 2 | 7200 | 2 | 1940 | 5 | 2 | 129302 | 2443 |
| 1174 | 130 | 2 | 9000 | 1 | 1900 | 5 | 2 | 115048 | 2444 |
| 1141 | 122 | 1 | 5925 | 0 | 1900 | 4 | 3 | 89056 | 2445 |
| 1798 | 0 | 2 | 9639 | 0 | 1900 | 4 | 4 | 112056 | 2446 |
| 1772 | 0 | 2 | 10337 | 0 | 1910 | 8 | 3 | 176441 | 2447 |
| 1642 | 196 | 1 | 9863 | 1 | 1927 | 6 | 4 | 143255 | 2448 |
| 1232 | 168 | 2 | 4571 | 0 | 1910 | 5 | 3 | 113298 | 2449 |
| 1650 | 259 | 2 | 8398 | 0 | 1910 | 6 | 3 | 140452 | 2450 |
| 1358 | 316 | 1 | 3600 | 1 | 1930 | 5 | 3 | 119765 | 2451 |
| 2454 | 0 | 2 | 13500 | 1 | 1879 | 7 | 3 | 178890 | 2452 |
| 968 | 0 | 1 | 8626 | 0 | 1956 | 4 | 2 | 97320 | 2453 |
| 1382 | 0 | 1 | 11800 | 1 | 1949 | 4 | 1 | 109568 | 2454 |
| 1060 | 317 | 1 | 6854 | 1 | 1925 | 5 | 1 | 109762 | 2455 |
| 1435 | 910 | 1 | 8674 | 0 | 1950 | 5 | 3 | 129698 | 2456 |
| 1274 | 306 | 1 | 6125 | 0 | 1939 | 5 | 3 | 114664 | 2457 |
| 1232 | 276 | 1 | 6000 | 2 | 1939 | 6 | 3 | 141365 | 2458 |
| 884 | 0 | 1 | 6120 | 0 | 1939 | 5 | 2 | 101774 | 2459 |
| 1409 | 52 | 2 | 6240 | 1 | 1938 | 6 | 3 | 147741 | 2460 |
| 1322 | 48 | 1 | 6240 | 0 | 1939 | 5 | 4 | 114413 | 2461 |
| 1426 | 0 | 1 | 6240 | 1 | 1930 | 5 | 3 | 118780 | 2462 |
| 1281 | 351 | 2 | 6120 | 0 | 1926 | 5 | 2 | 120222 | 2463 |
| 2264 | 0 | 1 | 7755 | 0 | 1918 | 6 | 4 | 146831 | 2464 |
| 1376 | 0 | 2 | 8850 | 0 | 1920 | 6 | 3 | 133139 | 2465 |
| 1316 | 0 | 2 | 8550 | 0 | 1926 | 5 | 4 | 120787 | 2466 |
| 1344 | 336 | 2 | 5700 | 1 | 1929 | 7 | 3 | 163337 | 2467 |
| 1173 | 0 | 1 | 5680 | 0 | 1901 | 5 | 3 | 99213 | 2468 |
| 1214 | 0 | 1 | 5680 | 0 | 1901 | 5 | 2 | 98874 | 2469 |
| 2294 | 375 | 2 | 13200 | 1 | 1963 | 6 | 5 | 202325 | 2470 |
| 1952 | 354 | 1 | 9780 | 2 | 1950 | 7 | 4 | 193482 | 2471 |
| 2180 | 375 | 2 | 10320 | 1 | 1915 | 6 | 3 | 170005 | 2472 |
| 1315 | 681 | 2 | 4330 | 0 | 1958 | 4 | 3 | 121788 | 2473 |
| 1484 | 0 | 1 | 10320 | 0 | 1910 | 4 | 3 | 97958 | 2474 |
| 2267 | 288 | 2 | 12888 | 2 | 1937 | 7 | 3 | 215568 | 2475 |
| 1282 | 485 | 1 | 4484 | 0 | 1942 | 5 | 2 | 115751 | 2476 |
| 999 | 925 | 1 | 11235 | 0 | 1963 | 5 | 3 | 123678 | 2477 |
| 1452 | 785 | 2 | 11235 | 1 | 1964 | 5 | 2 | 152639 | 2478 |
| 1005 | 513 | 2 | 14299 | 0 | 1964 | 4 | 3 | 117496 | 2479 |
| 1020 | 68 | 2 | 14149 | 1 | 1964 | 5 | 3 | 133445 | 2480 |
| 1040 | 249 | 1 | 11677 | 0 | 1966 | 5 | 3 | 118140 | 2481 |
| 868 | 748 | 2 | 8425 | 0 | 1971 | 5 | 2 | 129142 | 2482 |
| 897 | 168 | 1 | 8665 | 0 | 1968 | 5 | 3 | 113520 | 2483 |
| 943 | 114 | 2 | 8398 | 0 | 1967 | 5 | 2 | 122385 | 2484 |
| 912 | 216 | 1 | 8169 | 0 | 1966 | 5 | 3 | 113651 | 2485 |
| 1375 | 386 | 1 | 14175 | 1 | 1956 | 5 | 3 | 132889 | 2486 |
| 2654 | 267 | 2 | 16779 | 1 | 1920 | 5 | 4 | 172936 | 2487 |
| 1302 | 258 | 1 | 6960 | 2 | 1940 | 7 | 2 | 158907 | 2488 |
| 1299 | 736 | 2 | 11375 | 1 | 1954 | 6 | 3 | 162517 | 2489 |
| 1176 | 190 | 1 | 13770 | 2 | 1958 | 5 | 3 | 132926 | 2490 |
| 998 | 0 | 2 | 9000 | 0 | 1945 | 4 | 3 | 105144 | 2491 |
| 1522 | 299 | 2 | 11075 | 1 | 1984 | 6 | 3 | 175779 | 2492 |
| 1325 | 300 | 2 | 17541 | 1 | 1948 | 5 | 3 | 140703 | 2493 |
| 1630 | 587 | 2 | 22692 | 1 | 1953 | 5 | 3 | 157886 | 2494 |
| 1242 | 0 | 1 | 17808 | 0 | 1946 | 4 | 2 | 102936 | 2495 |
| 2422 | 353 | 2 | 12671 | 2 | 1954 | 6 | 4 | 211272 | 2496 |
| 1626 | 491 | 1 | 10512 | 0 | 1954 | 6 | 3 | 147097 | 2497 |
| 864 | 453 | 1 | 5400 | 0 | 1958 | 5 | 3 | 111925 | 2498 |
| 943 | 0 | 1 | 11515 | 0 | 1958 | 4 | 3 | 99252 | 2499 |
| 1038 | 283 | 1 | 3869 | 0 | 1984 | 5 | 2 | 119827 | 2500 |
| 1342 | 557 | 1 | 9280 | 0 | 1951 | 5 | 4 | 125144 | 2501 |
| 1480 | 1080 | 1 | 11100 | 1 | 1951 | 5 | 4 | 143459 | 2502 |
| 1362 | 0 | 1 | 7550 | 0 | 1920 | 4 | 4 | 98372 | 2503 |
| 1822 | 0 | 2 | 23920 | 1 | 1984 | 6 | 4 | 190490 | 2504 |
| 1958 | 497 | 2 | 9317 | 1 | 1994 | 7 | 3 | 222978 | 2505 |
| 1651 | 0 | 3 | 9178 | 1 | 2007 | 8 | 3 | 251520 | 2506 |
| 2140 | 0 | 3 | 10481 | 0 | 2006 | 8 | 3 | 263170 | 2507 |
| 1651 | 0 | 3 | 10235 | 1 | 2007 | 8 | 3 | 252258 | 2508 |
| 1546 | 20 | 3 | 11750 | 0 | 2005 | 7 | 3 | 209397 | 2509 |
| 1500 | 36 | 2 | 8760 | 1 | 2006 | 8 | 3 | 223802 | 2510 |
| 1270 | 0 | 2 | 7242 | 0 | 2005 | 7 | 2 | 177034 | 2511 |
| 1795 | 0 | 2 | 9316 | 0 | 2005 | 7 | 3 | 200387 | 2512 |
| 1873 | 608 | 2 | 8883 | 1 | 1988 | 7 | 3 | 217896 | 2513 |
| 1743 | 51 | 2 | 20064 | 2 | 1976 | 8 | 0 | 229944 | 2514 |
| 1022 | 550 | 2 | 14217 | 0 | 1994 | 5 | 3 | 142419 | 2515 |
| 1308 | 539 | 2 | 10021 | 0 | 1997 | 6 | 3 | 167773 | 2516 |
| 990 | 420 | 1 | 8428 | 0 | 1994 | 5 | 3 | 126256 | 2517 |
| 1097 | 549 | 1 | 16561 | 0 | 1996 | 5 | 3 | 134225 | 2518 |
| 1873 | 342 | 2 | 10820 | 1 | 1999 | 7 | 3 | 219653 | 2519 |
| 1753 | 638 | 2 | 12352 | 1 | 1998 | 7 | 3 | 220740 | 2520 |
| 1690 | 0 | 2 | 9543 | 0 | 2001 | 7 | 3 | 194346 | 2521 |
| 1842 | 841 | 2 | 8826 | 1 | 2000 | 7 | 3 | 227943 | 2522 |
| 894 | 663 | 2 | 11800 | 0 | 1974 | 5 | 3 | 132535 | 2523 |
| 1025 | 502 | 2 | 8660 | 1 | 1976 | 5 | 3 | 141131 | 2524 |
| 1009 | 755 | 2 | 9720 | 1 | 1977 | 5 | 3 | 144804 | 2525 |
| 1040 | 539 | 2 | 8982 | 0 | 1977 | 5 | 3 | 134906 | 2526 |
| 907 | 60 | 1 | 16300 | 0 | 1977 | 5 | 3 | 117630 | 2527 |
| 879 | 330 | 2 | 9675 | 0 | 1975 | 5 | 3 | 127671 | 2528 |
| 864 | 671 | 2 | 7200 | 0 | 1972 | 5 | 3 | 129513 | 2529 |
| 875 | 385 | 2 | 7200 | 0 | 1972 | 4 | 3 | 113113 | 2530 |
| 1673 | 1412 | 2 | 11354 | 1 | 2000 | 7 | 3 | 233902 | 2531 |
| 1932 | 654 | 2 | 8749 | 1 | 2003 | 7 | 3 | 229802 | 2532 |
| 1729 | 0 | 2 | 8158 | 0 | 2002 | 7 | 3 | 195624 | 2533 |
| 1592 | 408 | 2 | 11927 | 1 | 1994 | 8 | 3 | 231108 | 2534 |
| 2439 | 1198 | 2 | 12728 | 1 | 2001 | 8 | 4 | 304714 | 2535 |
| 1992 | 762 | 2 | 15295 | 2 | 1996 | 7 | 3 | 248417 | 2536 |
| 1341 | 915 | 2 | 17227 | 1 | 1999 | 8 | 1 | 231083 | 2537 |
| 1476 | 0 | 2 | 8145 | 0 | 2007 | 7 | 3 | 188165 | 2538 |
| 1190 | 709 | 2 | 8769 | 0 | 2005 | 7 | 2 | 186837 | 2539 |
| 1330 | 0 | 2 | 8334 | 1 | 2006 | 6 | 3 | 172377 | 2540 |
| 1491 | 0 | 2 | 8333 | 1 | 2006 | 7 | 3 | 199012 | 2541 |
| 1536 | 0 | 2 | 9045 | 0 | 2005 | 5 | 3 | 152157 | 2542 |
| 936 | 936 | 1 | 9825 | 1 | 1967 | 5 | 2 | 128408 | 2543 |
| 1088 | 132 | 2 | 8308 | 0 | 1963 | 4 | 2 | 111831 | 2544 |
| 1351 | 130 | 2 | 16287 | 1 | 1925 | 5 | 3 | 131026 | 2545 |
| 1179 | 0 | 2 | 8240 | 0 | 1960 | 6 | 2 | 139436 | 2546 |
| 1044 | 504 | 2 | 6285 | 1 | 1976 | 6 | 3 | 157305 | 2547 |
| 2233 | 0 | 2 | 9555 | 0 | 1979 | 5 | 5 | 168405 | 2548 |
| 1408 | 611 | 2 | 7023 | 0 | 2005 | 5 | 3 | 156043 | 2549 |
| 5095 | 4010 | 3 | 39290 | 2 | 2008 | 10 | 2 | 1042704 | 2550 |
| 1072 | 467 | 2 | 3675 | 0 | 2005 | 6 | 2 | 157380 | 2551 |
| 960 | 77 | 1 | 6400 | 0 | 1959 | 5 | 2 | 109495 | 2552 |
| 1152 | 0 | 0 | 6882 | 0 | 1955 | 4 | 2 | 92032 | 2553 |
| 1195 | 0 | 0 | 8741 | 0 | 1946 | 5 | 4 | 104388 | 2554 |
| 865 | 144 | 1 | 10042 | 1 | 1920 | 6 | 2 | 116966 | 2555 |
| 768 | 544 | 1 | 8172 | 1 | 1955 | 4 | 2 | 103465 | 2556 |
| 864 | 682 | 2 | 8172 | 0 | 1955 | 4 | 3 | 111512 | 2557 |
| 2592 | 371 | 0 | 10890 | 0 | 1923 | 5 | 6 | 139486 | 2558 |
| 1422 | 319 | 1 | 7223 | 0 | 1926 | 5 | 3 | 114881 | 2559 |
| 1298 | 113 | 1 | 6821 | 1 | 1921 | 6 | 2 | 126512 | 2560 |
| 1098 | 246 | 1 | 4000 | 1 | 1930 | 7 | 2 | 139460 | 2561 |
| 1436 | 0 | 1 | 6720 | 1 | 1921 | 6 | 3 | 130226 | 2562 |
| 1461 | 0 | 1 | 7155 | 1 | 1926 | 6 | 3 | 132686 | 2563 |
| 1718 | 0 | 2 | 7230 | 1 | 1927 | 7 | 4 | 172675 | 2564 |
| 1226 | 0 | 2 | 13108 | 1 | 1951 | 5 | 2 | 131914 | 2565 |
| 1755 | 189 | 1 | 7810 | 1 | 1930 | 4 | 4 | 117516 | 2566 |
| 1355 | 533 | 2 | 6221 | 0 | 1941 | 5 | 3 | 130400 | 2567 |
| 1560 | 540 | 2 | 25485 | 3 | 1960 | 6 | 3 | 198239 | 2568 |
| 1488 | 813 | 2 | 21579 | 2 | 1968 | 6 | 3 | 191398 | 2569 |
| 1045 | 330 | 2 | 1782 | 1 | 1980 | 6 | 2 | 152621 | 2570 |
| 1680 | 0 | 2 | 17871 | 0 | 1995 | 4 | 4 | 141793 | 2571 |
| 1020 | 577 | 2 | 3907 | 0 | 1988 | 8 | 1 | 186238 | 2572 |
| 1696 | 434 | 2 | 20693 | 2 | 1971 | 7 | 3 | 216450 | 2573 |
| 2726 | 0 | 2 | 18044 | 1 | 1986 | 8 | 2 | 275933 | 2574 |
| 1215 | 375 | 2 | 7000 | 0 | 1940 | 6 | 3 | 139527 | 2575 |
| 1601 | 0 | 0 | 7288 | 0 | 1925 | 5 | 3 | 105888 | 2576 |
| 1828 | 548 | NA | 9060 | 0 | 1923 | 5 | 3 | 160380 | 2577 |
| 816 | 0 | 1 | 3672 | 0 | 1922 | 5 | 2 | 95571 | 2578 |
| 845 | 0 | 1 | 11067 | 0 | 1939 | 2 | 1 | 72508 | 2579 |
| 1991 | 0 | 0 | 8250 | 0 | 1895 | 5 | 4 | 107896 | 2580 |
| 1073 | 967 | 2 | 6565 | 0 | 1957 | 4 | 3 | 119523 | 2581 |
| 1001 | 737 | 1 | 6060 | 0 | 1930 | 5 | 2 | 109114 | 2582 |
| 1625 | 1573 | 2 | 5568 | 1 | 2006 | 8 | 2 | 259391 | 2583 |
| 1299 | 1001 | 2 | 12150 | 1 | 1979 | 6 | 2 | 175572 | 2584 |
| 1392 | 585 | 3 | 10000 | 1 | 2002 | 5 | 3 | 178767 | 2585 |
| 1409 | 1392 | 2 | 12864 | 1 | 2002 | 7 | 1 | 218158 | 2586 |
| 1478 | 1239 | 2 | 9928 | 1 | 1991 | 7 | 3 | 215496 | 2587 |
| 918 | 224 | 1 | 8750 | 0 | 1975 | 7 | 3 | 145648 | 2588 |
| 1026 | 924 | 2 | 8410 | 1 | 1974 | 6 | 2 | 161215 | 2589 |
| 1501 | 949 | 2 | 4054 | 2 | 1987 | 7 | 2 | 214359 | 2590 |
| 2279 | 0 | 2 | 19958 | 1 | 1958 | 6 | 4 | 193744 | 2591 |
| 1689 | 0 | 2 | 8368 | 0 | 2006 | 7 | 3 | 196100 | 2592 |
| 1564 | 583 | 2 | 8298 | 1 | 2006 | 8 | 2 | 235461 | 2593 |
| 1240 | 215 | 2 | 10331 | 0 | 1985 | 7 | 3 | 174296 | 2594 |
| 1312 | 250 | 2 | 6718 | 0 | 2001 | 8 | 2 | 201889 | 2595 |
| 1922 | 1329 | 3 | 11305 | 1 | 2002 | 8 | 2 | 295203 | 2596 |
| 1491 | 0 | 2 | 7777 | 1 | 1996 | 6 | 3 | 173450 | 2597 |
| 2486 | 766 | 2 | 11800 | 1 | 2003 | 7 | 5 | 268234 | 2598 |
| 1824 | 0 | 3 | 12633 | 1 | 2006 | 10 | 3 | 327591 | 2599 |
| 2034 | 0 | 4 | 43500 | 0 | 1953 | 3 | 2 | 152904 | 2600 |
| 936 | 16 | 2 | 6710 | 0 | 1996 | 6 | 0 | 141419 | 2601 |
| 1092 | 252 | 1 | 1504 | 0 | 1972 | 4 | 3 | 105465 | 2602 |
| 992 | 503 | 1 | 1533 | 0 | 1970 | 4 | 2 | 104042 | 2603 |
| 1092 | 384 | 0 | 1495 | 0 | 1970 | 4 | 3 | 97494 | 2604 |
| 1092 | 0 | 1 | 1890 | 0 | 1976 | 4 | 3 | 104167 | 2605 |
| 1008 | 923 | 2 | 9129 | 1 | 1977 | 5 | 1 | 143406 | 2606 |
| 1356 | 1148 | 2 | 15957 | 1 | 1977 | 6 | 3 | 183199 | 2607 |
| 1676 | 1112 | 2 | 33983 | 2 | 1977 | 5 | 3 | 193639 | 2608 |
| 1432 | 531 | 2 | 8286 | 1 | 1977 | 5 | 3 | 153906 | 2609 |
| 796 | 796 | 0 | 6723 | 0 | 1971 | 5 | 2 | 107164 | 2610 |
| 1608 | 811 | 1 | 27697 | 0 | 1961 | 4 | 3 | 129044 | 2611 |
| 1178 | 1090 | 2 | 11000 | 0 | 1976 | 5 | 3 | 146475 | 2612 |
| 816 | 596 | 1 | 11625 | 0 | 1983 | 5 | 2 | 120198 | 2613 |
| 887 | 516 | 1 | 10447 | 0 | 1984 | 5 | 3 | 122371 | 2614 |
| 1293 | 468 | 2 | 11027 | 0 | 1954 | 6 | 2 | 147967 | 2615 |
| 1024 | 773 | 1 | 10533 | 2 | 1956 | 6 | 2 | 148191 | 2616 |
| 1797 | 1127 | 3 | 11765 | 1 | 1957 | 5 | 3 | 183355 | 2617 |
| 1390 | 1110 | 2 | 39384 | 2 | 1957 | 6 | 1 | 192595 | 2618 |
| 1851 | 0 | 2 | 11727 | 1 | 1969 | 7 | 3 | 197088 | 2619 |
| 1525 | 700 | 2 | 8238 | 1 | 1997 | 6 | 3 | 187090 | 2620 |
| 1671 | 0 | 2 | 13041 | 1 | 1995 | 6 | 3 | 182086 | 2621 |
| 1776 | 0 | 2 | 9783 | 1 | 1996 | 6 | 3 | 184790 | 2622 |
| 2064 | 0 | 2 | 13128 | 1 | 2005 | 8 | 4 | 255469 | 2623 |
| 2212 | 60 | 3 | 13751 | 1 | 2005 | 7 | 3 | 255565 | 2624 |
| 2687 | 0 | 2 | 13108 | 0 | 1994 | 8 | 4 | 266930 | 2625 |
| 1169 | 705 | 2 | 8076 | 1 | 1993 | 6 | 3 | 172342 | 2626 |
| 1204 | 0 | 2 | 3701 | 0 | 1987 | 8 | 2 | 184820 | 2627 |
| 2798 | 1218 | 3 | 16023 | 1 | 2005 | 9 | 3 | 402725 | 2628 |
| 3390 | 0 | 3 | 18062 | 1 | 2006 | 10 | 5 | 467660 | 2629 |
| 2473 | 205 | 3 | 12292 | 1 | 2006 | 9 | 4 | 344511 | 2630 |
| 2698 | 1206 | 3 | 16052 | 1 | 2006 | 10 | 4 | 446848 | 2631 |
| 2795 | 0 | 3 | 15922 | 1 | 2005 | 9 | 4 | 363553 | 2632 |
| 1714 | 1191 | 2 | 8147 | 1 | 2005 | 9 | 2 | 286169 | 2633 |
| 2000 | 1416 | 3 | 18261 | 2 | 2005 | 9 | 3 | 370948 | 2634 |
| 1102 | 850 | 2 | 10464 | 1 | 1980 | 6 | 2 | 165985 | 2635 |
| 1857 | 0 | 2 | 10530 | 1 | 1978 | 7 | 4 | 203504 | 2636 |
| 1083 | 1005 | 2 | 9927 | 1 | 1976 | 7 | 2 | 185313 | 2637 |
| 2318 | 788 | 2 | 9512 | 1 | 2005 | 7 | 3 | 253411 | 2638 |
| 1875 | 548 | 2 | 10530 | 1 | 1975 | 6 | 3 | 188672 | 2639 |
| 1103 | 755 | 2 | 10000 | 0 | 1974 | 6 | 3 | 155061 | 2640 |
| 874 | 20 | 2 | 7200 | 0 | 1971 | 4 | 3 | 109047 | 2641 |
| 1419 | 951 | 2 | 8773 | 0 | 2002 | 6 | 2 | 177798 | 2642 |
| 1092 | 0 | 2 | 2760 | 0 | 1973 | 6 | 3 | 141016 | 2643 |
| 1365 | 402 | 2 | 2160 | 1 | 1973 | 5 | 3 | 146033 | 2644 |
| 1030 | 282 | 1 | 1890 | 0 | 1972 | 6 | 3 | 130550 | 2645 |
| 948 | 276 | 1 | 1680 | 0 | 1972 | 6 | 2 | 126755 | 2646 |
| 1092 | 382 | 1 | 1680 | 0 | 1972 | 6 | 3 | 133358 | 2647 |
| 1069 | 727 | 2 | 4043 | 1 | 1975 | 6 | 2 | 158148 | 2648 |
| 1387 | 373 | 1 | 7514 | 1 | 1967 | 5 | 3 | 134244 | 2649 |
| 1055 | 120 | 1 | 2280 | 0 | 1976 | 7 | 2 | 144332 | 2650 |
| 1456 | 70 | 2 | 2179 | 1 | 1976 | 6 | 3 | 162389 | 2651 |
| 2589 | 1369 | 3 | 16387 | 1 | 2006 | 9 | 4 | 397483 | 2652 |
| 1618 | 0 | 3 | 16163 | 1 | 2004 | 8 | 2 | 249883 | 2653 |
| 1740 | 0 | 3 | 12228 | 0 | 2006 | 7 | 4 | 220798 | 2654 |
| 1868 | 1505 | 3 | 14780 | 1 | 2005 | 9 | 2 | 337382 | 2655 |
| 2206 | 0 | 3 | 13975 | 1 | 2005 | 9 | 4 | 320900 | 2656 |
| 2091 | 1290 | 2 | 9942 | 1 | 2005 | 9 | 3 | 317006 | 2657 |
| 2253 | 0 | 2 | 12867 | 1 | 2005 | 8 | 3 | 262160 | 2658 |
| 2389 | 0 | 3 | 10672 | 1 | 2006 | 8 | 4 | 296046 | 2659 |
| 2358 | 880 | 3 | 11643 | 1 | 2005 | 8 | 4 | 319323 | 2660 |
| 1792 | 1232 | 3 | 13758 | 1 | 2005 | 9 | 2 | 322986 | 2661 |
| 1780 | 1383 | 3 | 14828 | 1 | 2004 | 9 | 2 | 326910 | 2662 |
| 1914 | 994 | 3 | 13215 | 1 | 2004 | 8 | 3 | 292050 | 2663 |
| 1565 | 472 | 2 | 5911 | 1 | 2005 | 9 | 2 | 258106 | 2664 |
| 1686 | 1023 | 3 | 7740 | 1 | 2006 | 9 | 1 | 302104 | 2665 |
| 1666 | 415 | 2 | 6373 | 1 | 2006 | 9 | 2 | 263043 | 2666 |
| 1456 | 0 | 2 | 10237 | 1 | 2005 | 6 | 3 | 177330 | 2667 |
| 1492 | 0 | 2 | 10237 | 0 | 2006 | 7 | 3 | 189402 | 2668 |
| 1326 | 0 | 2 | 11660 | 0 | 2006 | 6 | 3 | 164535 | 2669 |
| 2373 | 0 | 3 | 11631 | 1 | 2004 | 8 | 4 | 294404 | 2670 |
| 1492 | 0 | 2 | 9073 | 0 | 2006 | 7 | 3 | 188792 | 2671 |
| 1364 | 453 | 2 | 3087 | 1 | 2006 | 7 | 2 | 197045 | 2672 |
| 1511 | 1038 | 2 | 2938 | 1 | 2002 | 7 | 2 | 212135 | 2673 |
| 1548 | 1059 | 2 | 3072 | 1 | 2004 | 7 | 2 | 215298 | 2674 |
| 1142 | 16 | 2 | 3010 | 0 | 2005 | 7 | 2 | 170741 | 2675 |
| 1598 | 0 | 2 | 9171 | 1 | 2004 | 7 | 3 | 202836 | 2676 |
| 1889 | 732 | 2 | 8658 | 1 | 2000 | 6 | 3 | 203769 | 2677 |
| 2322 | 0 | 3 | 12104 | 0 | 2006 | 7 | 4 | 248362 | 2678 |
| 1976 | 791 | 3 | 9660 | 1 | 1998 | 8 | 3 | 283111 | 2679 |
| 2234 | 505 | 3 | 9545 | 1 | 2000 | 8 | 3 | 291845 | 2680 |
| 2855 | 1182 | 3 | 9233 | 1 | 2000 | 9 | 4 | 398192 | 2681 |
| 2726 | 527 | 3 | 10019 | 1 | 1995 | 8 | 4 | 323309 | 2682 |
| 3500 | 292 | 3 | 17242 | 1 | 1993 | 9 | 4 | 419793 | 2683 |
| 2494 | 380 | 3 | 10236 | 1 | 1994 | 8 | 4 | 303697 | 2684 |
| 2799 | 247 | 3 | 12585 | 1 | 1993 | 8 | 3 | 316647 | 2685 |
| 1964 | 0 | 2 | 12447 | 1 | 2005 | 8 | 3 | 246955 | 2686 |
| 1670 | 1562 | 3 | 15218 | 1 | 2006 | 8 | 2 | 292667 | 2687 |
| 1504 | 0 | 2 | 10936 | 0 | 2006 | 8 | 3 | 212573 | 2688 |
| 1278 | 24 | 2 | 8640 | 0 | 2006 | 8 | 2 | 199857 | 2689 |
| 2640 | 1836 | 3 | 13162 | 1 | 2006 | 9 | 3 | 410842 | 2690 |
| 1716 | 0 | 2 | 8125 | 0 | 2005 | 6 | 3 | 175896 | 2691 |
| 1142 | 24 | 0 | 7733 | 0 | 2005 | 6 | 3 | 132023 | 2692 |
| 1400 | 0 | 2 | 11024 | 0 | 2005 | 7 | 3 | 185845 | 2693 |
| 1131 | 0 | 0 | 13072 | 0 | 2005 | 6 | 3 | 133395 | 2694 |
| 1686 | 0 | 2 | 7800 | 0 | 2005 | 7 | 3 | 195186 | 2695 |
| 1585 | 0 | 2 | 7632 | 0 | 2005 | 7 | 3 | 191141 | 2696 |
| 1837 | 0 | 2 | 8304 | 0 | 1997 | 6 | 3 | 176797 | 2697 |
| 1731 | 758 | 2 | 9370 | 0 | 1992 | 6 | 3 | 183912 | 2698 |
| 1398 | 904 | 2 | 7175 | 0 | 1990 | 6 | 2 | 170327 | 2699 |
| 1217 | 278 | 2 | 7175 | 0 | 1991 | 6 | 2 | 155299 | 2700 |
| 1320 | 274 | 2 | 9019 | 0 | 1994 | 6 | 3 | 162418 | 2701 |
| 988 | 36 | 2 | 9100 | 0 | 1962 | 5 | 3 | 122767 | 2702 |
| 1654 | 0 | 2 | 8927 | 0 | 1977 | 6 | 4 | 164282 | 2703 |
| 1211 | 612 | 2 | 9240 | 1 | 1962 | 5 | 2 | 141548 | 2704 |
| 984 | 554 | 1 | 9308 | 0 | 1965 | 5 | 3 | 119081 | 2705 |
| 909 | 162 | 1 | 8450 | 0 | 1968 | 5 | 3 | 113666 | 2706 |
| 925 | 181 | 2 | 8638 | 0 | 1963 | 5 | 2 | 121566 | 2707 |
| 1024 | 712 | 1 | 13052 | 0 | 1965 | 5 | 3 | 123097 | 2708 |
| 912 | 644 | 0 | 8020 | 0 | 1964 | 5 | 3 | 107949 | 2709 |
| 941 | 659 | 1 | 8789 | 1 | 1967 | 5 | 3 | 126388 | 2710 |
| 2646 | 1023 | 2 | 14330 | 4 | 1974 | 7 | 3 | 306264 | 2711 |
| 2826 | 1118 | 3 | 11025 | 3 | 1992 | 8 | 3 | 382729 | 2712 |
| 1143 | 0 | 2 | 3628 | 1 | 2004 | 7 | 1 | 177918 | 2713 |
| 1223 | 0 | 2 | 2544 | 0 | 2005 | 7 | 2 | 173086 | 2714 |
| 1524 | 353 | 2 | 2998 | 0 | 2000 | 6 | 2 | 168238 | 2715 |
| 1080 | 0 | 2 | 4447 | 0 | 2003 | 7 | 2 | 168191 | 2716 |
| 1694 | 0 | 1 | 8314 | 1 | 1997 | 7 | 3 | 186086 | 2717 |
| 1568 | 0 | 2 | 7180 | 1 | 2001 | 8 | 3 | 222377 | 2718 |
| 1193 | 962 | 2 | 13110 | 0 | 1972 | 5 | 2 | 142902 | 2719 |
| 1334 | 553 | 2 | 10140 | 0 | 1967 | 7 | 3 | 175192 | 2720 |
| 1051 | 758 | 2 | 9600 | 0 | 1968 | 5 | 3 | 135161 | 2721 |
| 1770 | 361 | 2 | 8640 | 0 | 1968 | 5 | 4 | 152080 | 2722 |
| 976 | 760 | 2 | 9360 | 1 | 1968 | 6 | 2 | 155254 | 2723 |
| 898 | 744 | 1 | 8400 | 0 | 1968 | 5 | 3 | 119698 | 2724 |
| 1051 | 799 | 1 | 9759 | 0 | 1966 | 5 | 3 | 123951 | 2725 |
| 1141 | 602 | 1 | 9600 | 0 | 1967 | 5 | 3 | 124198 | 2726 |
| 1565 | 901 | 1 | 8800 | 2 | 1965 | 6 | 3 | 172329 | 2727 |
| 1488 | 260 | 2 | 10368 | 1 | 1964 | 6 | 3 | 165168 | 2728 |
| 1440 | 360 | 2 | 9350 | 1 | 1964 | 5 | 4 | 149067 | 2729 |
| 1248 | 632 | 1 | 10800 | 0 | 1960 | 5 | 3 | 125494 | 2730 |
| 816 | 574 | 1 | 8550 | 1 | 1934 | 6 | 2 | 124290 | 2731 |
| 1043 | 0 | 1 | 9724 | 1 | 1947 | 5 | 2 | 114419 | 2732 |
| 1433 | 915 | 2 | 9600 | 1 | 1961 | 5 | 3 | 153860 | 2733 |
| 1624 | 40 | 1 | 10858 | 1 | 1952 | 5 | 2 | 131230 | 2734 |
| 1216 | 996 | 1 | 9600 | 0 | 1951 | 5 | 3 | 125696 | 2735 |
| 1728 | 0 | 1 | 9462 | 1 | 1949 | 5 | 3 | 133582 | 2736 |
| 936 | 486 | 1 | 9888 | 0 | 1954 | 5 | 2 | 112871 | 2737 |
| 1584 | 0 | 2 | 8917 | 0 | 1967 | 5 | 4 | 141377 | 2738 |
| 1246 | 939 | 2 | 12700 | 2 | 1964 | 6 | 3 | 178117 | 2739 |
| 1008 | 0 | 2 | 9723 | 0 | 1963 | 6 | 2 | 136253 | 2740 |
| 1364 | 623 | 1 | 8400 | 1 | 1957 | 5 | 3 | 133725 | 2741 |
| 1336 | 203 | 2 | 9610 | 1 | 1958 | 6 | 3 | 156620 | 2742 |
| 1370 | 678 | 1 | 10000 | 1 | 1956 | 5 | 3 | 134836 | 2743 |
| 1124 | 914 | 1 | 10152 | 1 | 1956 | 6 | 3 | 146582 | 2744 |
| 1050 | 824 | 1 | 8092 | 0 | 1954 | 6 | 3 | 134097 | 2745 |
| 1008 | 658 | 1 | 12778 | 0 | 1952 | 5 | 2 | 116729 | 2746 |
| 1575 | 0 | 2 | 10170 | 1 | 1951 | 6 | 2 | 156930 | 2747 |
| 1145 | 271 | 2 | 7700 | 0 | 1956 | 5 | 3 | 127120 | 2748 |
| 1005 | 488 | 1 | 11050 | 1 | 1956 | 5 | 2 | 121947 | 2749 |
| 1056 | 144 | 1 | 13600 | 0 | 1955 | 5 | 3 | 114813 | 2750 |
| 884 | 741 | 1 | 15428 | 0 | 1951 | 5 | 2 | 115271 | 2751 |
| 2039 | 0 | 3 | 21299 | 3 | 1941 | 7 | 3 | 238505 | 2752 |
| 1384 | 494 | 2 | 13300 | 0 | 1956 | 5 | 2 | 136741 | 2753 |
| 2640 | 1018 | 3 | 22136 | 1 | 1925 | 5 | 5 | 209505 | 2754 |
| 1312 | 0 | 2 | 7500 | 0 | 1947 | 6 | 3 | 140035 | 2755 |
| 713 | 0 | 1 | 10410 | 0 | 1930 | 3 | 2 | 77905 | 2756 |
| 715 | 0 | 2 | 10914 | 0 | 1929 | 3 | 2 | 84831 | 2757 |
| 720 | 0 | 1 | 7008 | 0 | 1900 | 4 | 1 | 79211 | 2758 |
| 1595 | 338 | 2 | 7200 | 1 | 1915 | 6 | 3 | 149180 | 2759 |
| 1760 | 0 | 2 | 10818 | 1 | 1910 | 4 | 4 | 120835 | 2760 |
| 1146 | 580 | 1 | 10184 | 1 | 1963 | 6 | 3 | 145260 | 2761 |
| 1207 | 701 | 1 | 9510 | 0 | 1962 | 6 | 3 | 140162 | 2762 |
| 1773 | 913 | 2 | 10800 | 2 | 1961 | 6 | 3 | 195219 | 2763 |
| 1472 | 0 | 2 | 11650 | 1 | 1959 | 7 | 2 | 175911 | 2764 |
| 2448 | 636 | 2 | 18275 | 2 | 1962 | 7 | 3 | 249502 | 2765 |
| 1521 | 455 | 1 | 12144 | 0 | 1950 | 4 | 3 | 114313 | 2766 |
| 1040 | 0 | 2 | 8544 | 0 | 1950 | 3 | 2 | 94845 | 2767 |
| 1556 | 0 | 0 | 8512 | 0 | 1960 | 5 | 4 | 116223 | 2768 |
| 1150 | 781 | 1 | 7000 | 0 | 1961 | 5 | 3 | 123741 | 2769 |
| 1045 | 809 | 2 | 7400 | 0 | 1962 | 7 | 3 | 165843 | 2770 |
| 864 | 468 | 1 | 7000 | 0 | 1962 | 5 | 3 | 113706 | 2771 |
| 1025 | 953 | 0 | 7000 | 0 | 1962 | 5 | 3 | 112784 | 2772 |
| 2014 | 0 | 2 | 9856 | 0 | 1900 | 5 | 5 | 132444 | 2773 |
| 1668 | 276 | 1 | 9600 | 0 | 1948 | 5 | 3 | 127884 | 2774 |
| 1657 | 284 | 1 | 5520 | 1 | 1920 | 4 | 4 | 112651 | 2775 |
| 1416 | 381 | 2 | 9600 | 0 | 1900 | 6 | 3 | 132582 | 2776 |
| 1428 | 208 | 2 | 6451 | 0 | 1900 | 7 | 4 | 146586 | 2777 |
| 1004 | 0 | 1 | 3960 | 1 | 1930 | 7 | 2 | 133721 | 2778 |
| 1951 | 0 | 2 | 7745 | 0 | 1900 | 4 | 4 | 114980 | 2779 |
| 1032 | 143 | 1 | 7741 | 0 | 1924 | 6 | 2 | 114921 | 2780 |
| 844 | 0 | 1 | 5633 | 0 | 1925 | 5 | 2 | 97363 | 2781 |
| 864 | 0 | 1 | 7200 | 0 | 1950 | 4 | 2 | 93507 | 2782 |
| 1376 | 0 | 1 | 7614 | 0 | 1905 | 3 | 2 | 83089 | 2783 |
| 960 | 576 | 2 | 6000 | 0 | 1955 | 5 | 3 | 125057 | 2784 |
| 1566 | 0 | 2 | 6000 | 0 | 1924 | 5 | 5 | 127027 | 2785 |
| 492 | 416 | 1 | 7830 | 0 | 1921 | 3 | 1 | 74296 | 2786 |
| 1182 | 310 | 1 | 9576 | 0 | 1945 | 6 | 3 | 128930 | 2787 |
| 840 | 0 | 1 | 5747 | 0 | 1920 | 3 | 2 | 76971 | 2788 |
| 2104 | 0 | 2 | 6300 | 0 | 1910 | 7 | 5 | 170977 | 2789 |
| 1248 | 0 | 0 | 5976 | 0 | 1920 | 5 | 2 | 95871 | 2790 |
| 960 | 0 | 2 | 9750 | 0 | 1958 | 5 | 3 | 120676 | 2791 |
| 1020 | 0 | 0 | 4761 | 0 | 1918 | 3 | 2 | 72701 | 2792 |
| 1827 | 0 | 1 | 11737 | 1 | 1924 | 6 | 2 | 142333 | 2793 |
| 1162 | 347 | 1 | 6120 | 0 | 1930 | 3 | 3 | 88112 | 2794 |
| 1324 | 0 | 1 | 6120 | 0 | 1930 | 5 | 3 | 110089 | 2795 |
| 816 | 0 | 1 | 11672 | 0 | 1925 | 5 | 2 | 98447 | 2796 |
| 2486 | 0 | 2 | 33120 | 1 | 1962 | 6 | 5 | 214150 | 2797 |
| 1430 | 0 | 2 | 10320 | 0 | 1924 | 4 | 3 | 109321 | 2798 |
| 1330 | 0 | 1 | 7518 | 0 | 1910 | 5 | 3 | 105277 | 2799 |
| 819 | 0 | 0 | 9000 | 0 | 1919 | 5 | 2 | 88405 | 2800 |
| 984 | 343 | 1 | 7200 | 0 | 1930 | 6 | 3 | 118899 | 2801 |
| 1422 | 329 | 1 | 12375 | 1 | 1951 | 5 | 3 | 131146 | 2802 |
| 1921 | 0 | 2 | 11136 | 0 | 1964 | 6 | 4 | 168928 | 2803 |
| 1640 | 0 | 2 | 21370 | 1 | 1950 | 5 | 3 | 148150 | 2804 |
| 1032 | 0 | 1 | 8250 | 1 | 1935 | 5 | 2 | 110353 | 2805 |
| 879 | 0 | 1 | 5220 | 0 | 1936 | 5 | 2 | 100663 | 2806 |
| 1073 | 510 | 1 | 5500 | 0 | 2004 | 7 | 2 | 162492 | 2807 |
| 1064 | 779 | 2 | 11327 | 1 | 1967 | 5 | 3 | 143786 | 2808 |
| 934 | 456 | 1 | 10366 | 0 | 1964 | 6 | 2 | 129064 | 2809 |
| 1059 | 773 | 1 | 9000 | 0 | 1966 | 5 | 3 | 123593 | 2810 |
| 1458 | 194 | 2 | 9535 | 1 | 1967 | 5 | 3 | 146770 | 2811 |
| 1040 | 794 | 2 | 7176 | 1 | 1978 | 6 | 3 | 162678 | 2812 |
| 1967 | 0 | 2 | 9662 | 0 | 1977 | 5 | 6 | 160694 | 2813 |
| 1949 | 483 | 2 | 8235 | 0 | 1977 | 5 | 6 | 166797 | 2814 |
| 872 | 0 | 1 | 17529 | 1 | 1924 | 5 | 2 | 106654 | 2815 |
| 1830 | 810 | 2 | 20355 | 2 | 1967 | 7 | 2 | 225165 | 2816 |
| 1000 | 104 | 2 | 13050 | 2 | 1963 | 5 | 1 | 136858 | 2817 |
| 810 | 535 | 2 | 10820 | 0 | 1971 | 5 | 2 | 125965 | 2818 |
| 1700 | 397 | 1 | 1700 | 0 | 1980 | 7 | 2 | 170197 | 2819 |
| 1350 | 799 | 2 | 9375 | 1 | 1954 | 4 | 3 | 131544 | 2820 |
| 1150 | 230 | 1 | 6488 | 2 | 1942 | 5 | 3 | 124989 | 2821 |
| 2009 | 0 | 3 | 19950 | 2 | 1928 | 6 | 4 | 195964 | 2822 |
| 3672 | 425 | 2 | 19800 | 2 | 1935 | 6 | 5 | 269733 | 2823 |
| 1560 | 612 | 2 | 11679 | 1 | 1962 | 5 | 3 | 154761 | 2824 |
| 1488 | 0 | 2 | 12048 | 1 | 1952 | 5 | 3 | 140689 | 2825 |
| 1057 | 0 | 1 | 10519 | 0 | 1955 | 5 | 3 | 112346 | 2826 |
| 1609 | 468 | 1 | 9525 | 0 | 1953 | 6 | 5 | 148971 | 2827 |
| 2559 | 549 | 2 | 12128 | 1 | 1989 | 6 | 4 | 228098 | 2828 |
| 1440 | 261 | 4 | 9069 | 0 | 1993 | 6 | 2 | 194592 | 2829 |
| 1876 | 0 | 3 | 11003 | 0 | 2005 | 7 | 3 | 223006 | 2830 |
| 1208 | 393 | 2 | 7488 | 0 | 2005 | 7 | 2 | 181449 | 2831 |
| 1846 | 1576 | 2 | 13377 | 1 | 2006 | 6 | 3 | 224687 | 2832 |
| 1590 | 1122 | 3 | 11645 | 0 | 2005 | 8 | 2 | 258415 | 2833 |
| 1809 | 0 | 2 | 10984 | 0 | 2005 | 7 | 3 | 201888 | 2834 |
| 1614 | 56 | 2 | 9316 | 1 | 2005 | 7 | 3 | 205149 | 2835 |
| 1596 | 0 | 2 | 9316 | 0 | 2005 | 7 | 3 | 192465 | 2836 |
| 1388 | 853 | 2 | 12000 | 1 | 1968 | 6 | 3 | 173517 | 2837 |
| 1100 | 0 | 2 | 13015 | 0 | 1996 | 5 | 3 | 137707 | 2838 |
| 1499 | 0 | 2 | 12438 | 1 | 1995 | 6 | 3 | 175553 | 2839 |
| 1425 | 846 | 2 | 8685 | 0 | 1998 | 7 | 3 | 197292 | 2840 |
| 1749 | 500 | 2 | 9272 | 0 | 1999 | 7 | 3 | 204861 | 2841 |
| 1779 | 894 | 2 | 13426 | 1 | 1999 | 7 | 3 | 228494 | 2842 |
| 1388 | 509 | 1 | 8340 | 0 | 1977 | 6 | 3 | 147783 | 2843 |
| 1282 | 595 | 3 | 10385 | 0 | 1978 | 6 | 3 | 174532 | 2844 |
| 864 | 437 | 1 | 7200 | 0 | 1972 | 5 | 3 | 116301 | 2845 |
| 1762 | 456 | 2 | 9930 | 0 | 2002 | 7 | 3 | 206473 | 2846 |
| 1755 | 639 | 2 | 9468 | 1 | 1999 | 6 | 3 | 196554 | 2847 |
| 1358 | 872 | 2 | 11088 | 1 | 2002 | 8 | 1 | 228762 | 2848 |
| 1909 | 0 | 2 | 8726 | 0 | 2002 | 7 | 4 | 205613 | 2849 |
| 2214 | 920 | 3 | 10566 | 1 | 1999 | 8 | 3 | 302195 | 2850 |
| 2049 | 0 | 2 | 21533 | 1 | 1996 | 7 | 4 | 228129 | 2851 |
| 1939 | 796 | 3 | 11250 | 1 | 1998 | 7 | 3 | 252691 | 2852 |
| 1995 | 685 | 2 | 11250 | 1 | 1995 | 7 | 4 | 233137 | 2853 |
| 848 | 717 | 2 | 4435 | 0 | 2003 | 6 | 1 | 151696 | 2854 |
| 1390 | 1000 | 2 | 8810 | 0 | 2003 | 7 | 3 | 201279 | 2855 |
| 1737 | 0 | 2 | 8581 | 0 | 2006 | 7 | 3 | 198135 | 2856 |
| 1611 | 0 | 2 | 8400 | 0 | 2005 | 7 | 3 | 192561 | 2857 |
| 1336 | 996 | 2 | 8772 | 0 | 2005 | 7 | 3 | 199986 | 2858 |
| 1436 | 173 | 2 | 8777 | 0 | 1910 | 4 | 3 | 106960 | 2859 |
| 1012 | 976 | 0 | 7840 | 0 | 1975 | 6 | 4 | 131953 | 2860 |
| 1176 | 847 | 1 | 16133 | 0 | 1969 | 5 | 2 | 129423 | 2861 |
| 1724 | 0 | 2 | 7162 | 1 | 2003 | 7 | 3 | 206414 | 2862 |
| 914 | 475 | 0 | 8050 | 0 | 2002 | 6 | 2 | 129068 | 2863 |
| 2314 | 0 | 2 | 11060 | 1 | 2003 | 7 | 3 | 235166 | 2864 |
| 1072 | 547 | 2 | 3675 | 0 | 2005 | 6 | 2 | 158555 | 2865 |
| 1709 | 0 | 2 | 2522 | 0 | 2004 | 7 | 3 | 192770 | 2866 |
| 936 | 0 | 1 | 6956 | 0 | 1948 | 4 | 3 | 95461 | 2867 |
| 1338 | 0 | 2 | 7822 | 0 | 1915 | 6 | 3 | 130112 | 2868 |
| 1669 | 0 | 1 | 8707 | 0 | 1924 | 4 | 4 | 106076 | 2869 |
| 1482 | 691 | 2 | 16012 | 1 | 1954 | 4 | 3 | 136246 | 2870 |
| 1414 | 0 | 0 | 8248 | 1 | 1922 | 4 | 3 | 95928 | 2871 |
| 498 | 0 | 1 | 8088 | 0 | 1922 | 2 | 1 | 64250 | 2872 |
| 1273 | 0 | 1 | 11388 | 0 | 1910 | 4 | 3 | 94134 | 2873 |
| 1551 | 930 | 1 | 10890 | 0 | 1938 | 5 | 3 | 129912 | 2874 |
| 1340 | 780 | 1 | 6430 | 0 | 1945 | 6 | 3 | 137862 | 2875 |
| 1479 | 424 | 1 | 7000 | 2 | 1926 | 7 | 3 | 163469 | 2876 |
| 1510 | 305 | 1 | 4899 | 0 | 1920 | 6 | 3 | 127753 | 2877 |
| 1636 | 0 | 1 | 9399 | 1 | 1919 | 7 | 4 | 153705 | 2878 |
| 1465 | 646 | 1 | 10164 | 2 | 1939 | 5 | 3 | 138858 | 2879 |
| 1288 | 384 | 1 | 6191 | 0 | 1941 | 5 | 4 | 117800 | 2880 |
| 1550 | 0 | 1 | 21780 | 1 | 1920 | 6 | 3 | 138606 | 2881 |
| 1717 | 602 | 1 | 12400 | 1 | 1940 | 5 | 2 | 137336 | 2882 |
| 1671 | 526 | 2 | 8170 | 1 | 1929 | 7 | 4 | 180972 | 2883 |
| 1609 | 0 | 3 | 12320 | 2 | 1932 | 7 | 3 | 197346 | 2884 |
| 1801 | 0 | 2 | 14210 | 1 | 1930 | 6 | 3 | 159537 | 2885 |
| 2315 | 760 | 1 | 15600 | 3 | 1950 | 5 | 4 | 185957 | 2886 |
| 976 | 305 | 1 | 7288 | 0 | 1942 | 5 | 2 | 107819 | 2887 |
| 1285 | 374 | 2 | 7000 | 0 | 1926 | 6 | 3 | 136662 | 2888 |
| 672 | 0 | 0 | 8534 | 0 | 1925 | 4 | 2 | 77846 | 2889 |
| 641 | 0 | 1 | 7030 | 0 | 1925 | 4 | 2 | 83942 | 2890 |
| 1638 | 0 | 1 | 9060 | 0 | 1957 | 6 | 4 | 143033 | 2891 |
| 729 | 0 | 0 | 12366 | 0 | 1945 | 3 | 2 | 74862 | 2892 |
| 1396 | 0 | 0 | 9000 | 0 | 1951 | 5 | 4 | 110170 | 2893 |
| 936 | 0 | 0 | 8520 | 0 | 1916 | 3 | 2 | 71863 | 2894 |
| 1778 | 1573 | 2 | 5748 | 1 | 2005 | 8 | 2 | 267030 | 2895 |
| 1646 | 1564 | 2 | 3842 | 1 | 2004 | 8 | 2 | 257751 | 2896 |
| 1625 | 776 | 2 | 23580 | 1 | 1979 | 6 | 3 | 191837 | 2897 |
| 1664 | 0 | 2 | 8385 | 0 | 1978 | 6 | 4 | 164778 | 2898 |
| 1491 | 0 | 2 | 9116 | 0 | 2001 | 8 | 3 | 208337 | 2899 |
| 1210 | 576 | 2 | 11080 | 0 | 1975 | 6 | 3 | 156704 | 2900 |
| 1650 | 909 | 2 | 50102 | 2 | 1958 | 6 | 2 | 208211 | 2901 |
| 1403 | 1136 | 2 | 8098 | 0 | 2000 | 6 | 2 | 179064 | 2902 |
| 1960 | 1350 | 3 | 13618 | 2 | 2005 | 8 | 3 | 323082 | 2903 |
| 1838 | 1455 | 3 | 11577 | 1 | 2005 | 9 | 3 | 334737 | 2904 |
| 1600 | 0 | 1 | 31250 | 0 | 1951 | 1 | 3 | 84352 | 2905 |
| 1368 | 1243 | 4 | 7020 | 0 | 1997 | 7 | 2 | 235775 | 2906 |
| 1304 | 0 | 1 | 2665 | 1 | 1977 | 5 | 3 | 128975 | 2907 |
| 874 | 441 | 1 | 10172 | 0 | 1968 | 5 | 3 | 116380 | 2908 |
| 1652 | 149 | 3 | 11836 | 0 | 1970 | 5 | 4 | 160850 | 2909 |
| 630 | 522 | 0 | 1470 | 0 | 1970 | 4 | 1 | 87831 | 2910 |
| 1092 | 252 | 1 | 1484 | 0 | 1972 | 4 | 3 | 105459 | 2911 |
| 1360 | 119 | 1 | 13384 | 1 | 1969 | 5 | 3 | 133197 | 2912 |
| 1092 | 408 | 1 | 1533 | 0 | 1970 | 4 | 3 | 106482 | 2913 |
| 1092 | 0 | 0 | 1526 | 0 | 1970 | 4 | 3 | 94085 | 2914 |
| 1092 | 0 | 0 | 1936 | 0 | 1970 | 4 | 3 | 94192 | 2915 |
| 1092 | 252 | 1 | 1894 | 0 | 1970 | 4 | 3 | 105055 | 2916 |
| 1224 | 1224 | 2 | 20000 | 1 | 1960 | 5 | 4 | 157663 | 2917 |
| 970 | 337 | 0 | 10441 | 0 | 1992 | 5 | 3 | 114583 | 2918 |
| 2000 | 758 | 3 | 9627 | 1 | 1993 | 7 | 3 | 250650 | 2919 |
write.csv(dplyr::select(test2, Id, SalePrice), "data/predictions.csv", row.names = FALSE)Kaglee submittion
Kaggle UserID: PKowalchuk
