##introduction to R R is a powerful, open-source programming language and environment designed for statistical computing and data analysis. Widely used by data scientists and statisticians, R offers extensive libraries, data visualization tools, and statistical techniques. Its flexibility and versatility make it a preferred choice for exploring, modeling, and visualizing data.
##basic components Variables: Store and manipulate data. Functions: Perform operations or computations. Data Structures: Organize and store data. Control Structures: Control the flow of program execution (e.g., loops and conditionals). Libraries (Packages): Extend R’s capabilities with specialized functions. Data Import/Export: Read and write data from/to various formats. Documentation: Add comments and documentation for code clarity. Graphics: Create visualizations and plots.
##datatypes in r Numeric: Represents numbers (e.g., 3.14, -42). Character (String): Stores text (e.g., “Hello, World!”). Logical: Represents TRUE or FALSE values. Date and Time: Handles date and time values.
# Define variables with different data types
numeric_var <- 90
character_var <- "Hey!"
logical_var <- FALSE
date_time_var <- as.POSIXct("2023-03-11 19:20:10")
# Print variables
cat("Numeric Variable:", numeric_var, "\n")## Numeric Variable: 90cat("Character Variable:", character_var, "\n")## Character Variable: Hey!cat("Logical Variable:", logical_var, "\n")## Logical Variable: FALSEcat("Date and Time Variable:", date_time_var, "\n")## Date and Time Variable: 1678542610##data structures in r Vector: A one-dimensional array of elements of the same data type (e.g., c(1, 2, 3)). Matrix: A two-dimensional array of elements of the same data type. List: A versatile data structure that can hold elements of different data types (e.g., list(1, “apple”, TRUE)). Data Frame: A tabular structure where columns can have different data types (e.g., data imported from a CSV file).
# Create data structures
vector_example <- c(1, 2, 3, 4, 5)
matrix_example <- matrix(1:4, nrow = 1, ncol = 2)## Warning in matrix(1:4, nrow = 1, ncol = 2): data length differs from size of
## matrix: [4 != 1 x 2]list_example <- list(3, "sing", FALSE)
data_frame_example <- data.frame(
Name = c("Manvitha", "Mythri", "Manasvi"),
Age = c(19, 43, 24),
Score = c(87, 98, 78)
)
# Print data structures
cat("Vector Example:", vector_example, "\n")## Vector Example: 1 2 3 4 5cat("Matrix Example:\n")## Matrix Example:print(matrix_example)## [,1] [,2]
## [1,] 1 2cat("List Example:\n")## List Example:print(list_example)## [[1]]
## [1] 3
##
## [[2]]
## [1] "sing"
##
## [[3]]
## [1] FALSEcat("Data Frame Example:\n")## Data Frame Example:print(data_frame_example)## Name Age Score
## 1 Manvitha 19 87
## 2 Mythri 43 98
## 3 Manasvi 24 78# a.Create two vectors of integers
vector1 <- c(3, 6, 9)
vector2 <- c(8, 2, 5)
# Add the two vectors element-wise
result_vector <- vector1 + vector2
# Print the result
print(result_vector)## [1] 11 8 14we have added 2 vectors successfully.
# b.Create a vector
my_vector <- c(3, 5, 7, 9, 11)
# Calculate the sum, mean, and product
sum_result <- sum(my_vector)
mean_result <- mean(my_vector)
product_result <- prod(my_vector)
# Print the results
print(paste("Sum:", sum_result))## [1] "Sum: 35"print(paste("Mean:", mean_result))## [1] "Mean: 7"print(paste("Product:", product_result))## [1] "Product: 10395"we have found sum,mean and product of vector elements.
# c.Create a vector
my_vector <- c(6, 2, 9, 7, 4)
# Find the minimum and maximum
min_value <- min(my_vector)
max_value <- max(my_vector)
# Print the results
print(paste("Minimum:", min_value))## [1] "Minimum: 2"print(paste("Maximum:", max_value))## [1] "Maximum: 9"#d. Create a list
my_list <- list(
string_element = "Hey!,hola",
numeric_element = 37,
vector_element = c(9, 8, 7),
logical_element = TRUE
)
# Print the list
print(my_list)## $string_element
## [1] "Hey!,hola"
##
## $numeric_element
## [1] 37
##
## $vector_element
## [1] 9 8 7
##
## $logical_element
## [1] TRUEa heterogeneous list is made.
#e. Create a list with named elements
my_list <- list(
vector_element = c(4, 6, 7),
matrix_element = matrix(1:4, nrow = 2),
nested_list = list(a = "raincoat", b = "umbrella")
)
# Access the first and second elements of the list
first_element <- my_list$vector_element
second_element <- my_list$matrix_element
# Print the accessed elements
print(first_element)## [1] 4 6 7print(second_element)## [,1] [,2]
## [1,] 1 3
## [2,] 2 4#f. Create a 3x5 matrix filled with zeros
my_matrix <- matrix(0, nrow = 2, ncol = 4)
# Print the matrix
print(my_matrix)## [,1] [,2] [,3] [,4]
## [1,] 0 0 0 0
## [2,] 0 0 0 0#g. Create a sample matrix
my_matrix <- matrix(1:10, nrow = 5)
# Access specific elements
element_1 <- my_matrix[1, 2] # 2nd column, 1st row
element_2 <- my_matrix[2, ] # 2nd row
element_3 <- my_matrix[, 1] # 1st column
# Print the accessed elements
print(element_1)## [1] 6print(element_2)## [1] 2 7print(element_3)## [1] 1 2 3 4 5#h. Create vectors
name <- c("Manvitha", "Mythri", "Manasvi")
age <- c(15, 24, 45)
# Create a DataFrame
df <- data.frame(Name = name, Age = age)
# Display the DataFrame
print(df)## Name Age
## 1 Manvitha 15
## 2 Mythri 24
## 3 Manasvi 45#i. Create a DataFrame
df <- data.frame(Name = c("Manvitha", "Mythri"), Age = c(15,24))
# New data to insert
new_data <- data.frame(Name = c("niall", "chase"), Age = c(17, 23))
# Insert new rows
df <- rbind(df, new_data)
# Display the updated DataFrame
print(df)## Name Age
## 1 Manvitha 15
## 2 Mythri 24
## 3 niall 17
## 4 chase 23#j. Create a DataFrame
df <- data.frame(Name = c("Manvitha", "Mythri"), Age = c(15, 24))
# Add a new column
df$Salary <- c(90000, 75000)
# Display the updated DataFrame
print(df)## Name Age Salary
## 1 Manvitha 15 90000
## 2 Mythri 24 75000#k. Create a DataFrame
df <- data.frame(Name = c("Manvitha", "Mythri", "Manasvi","niall"), Age = c(15, 24, 17, 23))
# Extract the first 2 rows
first_two_rows <- df[1:2, ]
# Display the extracted rows
print(first_two_rows)## Name Age
## 1 Manvitha 15
## 2 Mythri 24#l. Create a DataFrame
df <- data.frame(Name = c("Manasvi", "Manvitha", "Mythri"), Age = c(17, 15, 24))
# Sort the DataFrame by the "Age" column
sorted_df <- df[order(df$Age), ]
# Display the sorted DataFrame
print(sorted_df)## Name Age
## 2 Manvitha 15
## 1 Manasvi 17
## 3 Mythri 24#m. Create two DataFrames
df1 <- data.frame(ID = 1:3, Name = c("Manasvi", "Manvitha", "Mythri"))
df2 <- data.frame(ID = 2:4, Salary = c(30000, 90000, 75000))
# Merge the DataFrames based on the "ID" column
merged_df <- merge(df1, df2, by = "ID", all = TRUE)
# Display the merged DataFrame
print(merged_df)## ID Name Salary
## 1 1 Manasvi NA
## 2 2 Manvitha 30000
## 3 3 Mythri 90000
## 4 4 <NA> 75000#n. Create two DataFrames
df1 <- data.frame(Name = c("Manvitha", "Mythri"), Age = c(15, 24))
df2 <- data.frame(Name = c("niall", "chase"), Age = c(17, 23))
# Append df2 to the end of df1
appended_df <- rbind(df1, df2)
# Display the appended DataFrame
print(appended_df)## Name Age
## 1 Manvitha 15
## 2 Mythri 24
## 3 niall 17
## 4 chase 23#o. Load the dplyr package
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union# Create a sample DataFrame
df <- data.frame(Group = c("A", "A", "B", "B", "C"),
Value = c(13, 19, 21, 29, 24))
# Select rows with maximum value in each group
result <- df %>%
group_by(Group) %>%
filter(Value == max(Value))
# Display the result
print(result)## # A tibble: 3 × 2
## # Groups: Group [3]
## Group Value
## <chr> <dbl>
## 1 A 19
## 2 B 29
## 3 C 24#p. Create two dataframes
df1 <- data.frame(ID = 1:4, Name = c("Manvitha", "Mythri","niall","chase"))
df2 <- data.frame(ID = 2:5, Salary = c(90000, 75000, 30000, 55000))
# Merge the dataframes based on the "ID" column
merged_df <- merge(df1, df2, by = "ID", all = TRUE)
# Display the merged dataframe
print(merged_df)## ID Name Salary
## 1 1 Manvitha NA
## 2 2 Mythri 90000
## 3 3 niall 75000
## 4 4 chase 30000
## 5 5 <NA> 55000#q.a. Read data from the console
data <- as.numeric(readline("Enter a number: "))## Enter a number:print(data)## [1] NA#q.b. reading data from csv file
data=read.csv("C:/Users/sudhe/Desktop/R language/food delivery.csv")
rows_to_delete=c(500:45593)
data=data[-rows_to_delete,]
data## ID Delivery_person_ID Delivery_person_Age Delivery_person_Ratings
## 1 4607 INDORES13DEL02 37 4.9
## 2 B379 BANGRES18DEL02 34 4.5
## 3 5D6D BANGRES19DEL01 23 4.4
## 4 7A6A COIMBRES13DEL02 38 4.7
## 5 70A2 CHENRES12DEL01 32 4.6
## 6 9BB4 HYDRES09DEL03 22 4.8
## 7 95B4 RANCHIRES15DEL01 33 4.7
## 8 9EB2 MYSRES15DEL02 35 4.6
## 9 1102 HYDRES05DEL02 22 4.8
## 10 CDCD DEHRES17DEL01 36 4.2
## 11 D987 KOCRES16DEL01 21 4.7
## 12 2784 PUNERES13DEL03 23 4.7
## 13 C8B6 LUDHRES15DEL02 34 4.3
## 14 DB64 KNPRES14DEL02 24 4.7
## 15 3AF3 MUMRES15DEL03 29 4.5
## 16 3AAB MYSRES01DEL01 35 4.0
## 17 689B PUNERES20DEL01 33 4.2
## 18 6F67 HYDRES14DEL01 34 4.9
## 19 C9CF KOLRES15DEL03 21 4.7
## 20 36B8 PUNERES19DEL02 25 4.1
## 21 5795 RANCHIRES06DEL02 31 4.7
## 22 6C6B COIMBRES13DEL01 37 5.0
## 23 B816 CHENRES19DEL02 33 4.3
## 24 539B MUMRES02DEL01 25 4.0
## 25 A1B2 CHENRES01DEL01 29 4.5
## 26 3231 JAPRES16DEL03 27 5.0
## 27 8BC0 SURRES15DEL03 35 4.3
## 28 2288 BANGRES09DEL03 32 4.0
## 29 3C5E PUNERES04DEL01 23 4.8
## 30 3.00E+60 COIMBRES02DEL03 31 4.8
## 31 BFF SURRES16DEL02 36 4.1
## 32 D936 GOARES15DEL02 26 4.3
## 33 D681 GOARES07DEL01 38 4.9
## 34 2876 RANCHIRES02DEL01 32 3.5
## 35 30C8 PUNERES19DEL02 32 4.6
## 36 B843 PUNERES02DEL01 33 4.9
## 37 B3A0 PUNERES18DEL01 20 4.7
## 38 6531 SURRES08DEL01 20 4.8
## 39 4BDA HYDRES17DEL02 35 5.0
## 40 9D26 BANGRES17DEL02 26 4.9
## 41 9B18 BANGRES17DEL01 22 4.8
## 42 5D99 CHENRES11DEL01 35 4.3
## 43 4F0 MUMRES17DEL02 29 4.6
## 44 B796 SURRES17DEL03 37 4.7
## 45 85B4 MUMRES07DEL01 28 4.6
## 46 C644 KOLRES16DEL02 37 4.9
## 47 6999 MUMRES02DEL03 23 4.9
## 48 63B6 BANGRES05DEL03 27 4.9
## 49 A30B CHENRES11DEL01 37 4.8
## 50 3556 SURRES09DEL01 33 5.0
## 51 5554 RANCHIRES15DEL01 31 4.9
## 52 25FD BANGRES19DEL01 31 4.8
## 53 C1FF AURGRES20DEL03 25 5.0
## 54 7AC8 COIMBRES14DEL02 28 4.8
## 55 3DA1 SURRES08DEL03 31 4.7
## 56 272D COIMBRES07DEL03 24 4.7
## 57 DDC5 AGRRES12DEL03 39 4.6
## 58 8E6C VADRES02DEL02 39 4.2
## 59 B002 JAPRES14DEL01 32 4.5
## 60 395B VADRES04DEL03 36 4.7
## 61 8AA2 JAPRES18DEL02 25 4.8
## 62 B55A MYSRES04DEL03 33 4.9
## 63 73CC SURRES12DEL01 30 4.4
## 64 BE80 MUMRES04DEL01 33 5.0
## 65 1609 PUNERES02DEL01 36 4.9
## 66 D255 ALHRES07DEL02 21 4.8
## 67 DE72 DEHRES19DEL02 39 4.9
## 68 98AA VADRES16DEL02 23 4.8
## 69 273A VADRES09DEL01 35 4.8
## 70 A258 CHENRES12DEL03 39 4.6
## 71 8B53 SURRES11DEL01 22 4.7
## 72 BBDE SURRES01DEL01 32 4.6
## 73 5DED VADRES15DEL02 24 4.8
## 74 1A70 MYSRES14DEL02 29 4.7
## 75 A9F BANGRES13DEL01 29 4.6
## 76 4B7F HYDRES13DEL03 26 4.7
## 77 C606 BHPRES12DEL02 20 4.5
## 78 B962 CHENRES11DEL03 35 4.1
## 79 633C BANGRES010DEL03 39 4.6
## 80 2DC6 VADRES20DEL01 34 4.7
## 81 903A BANGRES11DEL01 27 4.7
## 82 C444 DEHRES01DEL01 30 4.8
## 83 1FB7 CHENRES02DEL01 25 4.4
## 84 34D7 MUMRES04DEL01 25 4.7
## 85 156B JAPRES03DEL02 30 5.0
## 86 56AD HYDRES04DEL03 24 4.6
## 87 837C PUNERES14DEL02 39 4.8
## 88 CBC4 GOARES04DEL01 25 4.8
## 89 C19E AURGRES08DEL02 37 4.6
## 90 1D60 BANGRES12DEL01 24 5.0
## 91 95FB HYDRES05DEL01 25 4.2
## 92 8195 RANCHIRES17DEL01 32 4.6
## 93 C042 AGRRES010DEL01 34 4.7
## 94 6D19 INDORES12DEL02 38 4.9
## 95 3.50E+07 JAPRES15DEL03 36 4.8
## 96 B437 SURRES16DEL01 25 5.0
## 97 9.70E+04 MYSRES16DEL02 29 5.0
## 98 A3E0 MUMRES05DEL03 36 4.7
## 99 4161 COIMBRES19DEL02 33 4.7
## 100 1236 MYSRES07DEL01 36 4.4
## 101 2558 PUNERES17DEL01 21 4.8
## 102 3185 HYDRES19DEL03 25 4.8
## 103 3C57 MUMRES14DEL02 23 4.8
## 104 4863 COIMBRES02DEL01 25 4.6
## 105 6757 INDORES05DEL02 24 4.3
## 106 22AD BANGRES03DEL03 27 4.6
## 107 9F99 MUMRES11DEL01 23 4.8
## 108 6781 MYSRES12DEL02 21 4.3
## 109 1B8D SURRES09DEL02 27 4.7
## 110 1AEA COIMBRES12DEL02 32 4.2
## 111 1.00E+42 SURRES08DEL01 25 4.6
## 112 DDC8 KNPRES05DEL02 39 4.7
## 113 24AC SURRES05DEL02 27 4.6
## 114 3F01 MUMRES15DEL01 39 3.8
## 115 628C BANGRES15DEL02 31 4.8
## 116 6C38 RANCHIRES11DEL03 31 4.8
## 117 4BEB MYSRES08DEL01 20 4.8
## 118 8339 RANCHIRES07DEL02 36 4.9
## 119 3EC5 RANCHIRES01DEL03 20 4.9
## 120 ADB4 JAPRES17DEL03 24 4.6
## 121 6.00E+02 VADRES06DEL01 29 4.6
## 122 2BC0 INDORES14DEL01 39 4.2
## 123 9.90E+08 COIMBRES17DEL01 37 4.8
## 124 39EF CHENRES11DEL01 32 4.9
## 125 E264 KNPRES17DEL02 22 4.5
## 126 BD03 COIMBRES12DEL02 23 4.9
## 127 9A29 RANCHIRES04DEL01 33 4.7
## 128 D0E5 KOLRES17DEL03 23 4.6
## 129 A480 BANGRES19DEL02 27 4.6
## 130 B46C MUMRES17DEL01 34 4.7
## 131 7150 SURRES14DEL01 26 5.0
## 132 1.00E+58 VADRES14DEL03 31 4.6
## 133 4460 PUNERES09DEL02 32 4.9
## 134 977D INDORES19DEL02 27 4.7
## 135 1602 BANGRES010DEL03 21 4.9
## 136 894E BANGRES12DEL02 28 4.8
## 137 5A01 VADRES04DEL01 24 4.9
## 138 655 HYDRES14DEL01 33 4.4
## 139 20F6 BANGRES11DEL03 20 4.6
## 140 3DB1 COIMBRES13DEL03 31 4.3
## 141 1EC7 PUNERES05DEL03 29 4.6
## 142 8ED2 VADRES20DEL01 36 5.0
## 143 64CC CHENRES19DEL01 31 4.2
## 144 2ED0 HYDRES02DEL03 39 4.1
## 145 4008 SURRES010DEL02 29 4.6
## 146 7553 SURRES03DEL01 29 4.6
## 147 35D8 COIMBRES17DEL03 37 4.9
## 148 9832 VADRES08DEL01 33 4.7
## 149 4C88 MUMRES08DEL01 31 3.9
## 150 9693 VADRES18DEL01 37 4.6
## 151 81A5 BANGRES04DEL03 26 4.4
## 152 AE56 COIMBRES02DEL01 24 4.6
## 153 8D18 RANCHIRES12DEL02 23 4.8
## 154 9CBA VADRES18DEL01 36 4.9
## 155 9B79 MYSRES13DEL01 39 4.8
## 156 596A COIMBRES03DEL02 20 4.7
## 157 78AA MYSRES16DEL02 20 5.0
## 158 D7EC KOLRES04DEL03 29 4.3
## 159 55B1 COIMBRES11DEL01 36 4.8
## 160 8.70E+05 VADRES13DEL03 36 4.0
## 161 82C3 RANCHIRES04DEL02 22 4.8
## 162 5397 PUNERES18DEL01 38 4.4
## 163 876B SURRES01DEL02 39 4.9
## 164 3A5A INDORES08DEL02 24 4.9
## 165 5.10E+05 VADRES18DEL01 30 4.1
## 166 5631 HYDRES18DEL03 35 4.8
## 167 1DAC CHENRES07DEL03 33 4.5
## 168 DE01 KOCRES010DEL01 39 4.7
## 169 8771 VADRES11DEL02 31 4.3
## 170 3645 CHENRES20DEL01 37 4.5
## 171 1FF1 MYSRES04DEL03 37 4.7
## 172 4A3C MUMRES13DEL01 33 5.0
## 173 6E0D RANCHIRES03DEL03 24 4.6
## 174 6CC6 JAPRES08DEL02 33 4.5
## 175 C141 ALHRES12DEL01 39 4.7
## 176 690F RANCHIRES11DEL03 37 4.6
## 177 B4BA HYDRES19DEL02 25 4.9
## 178 63A9 PUNERES17DEL03 28 4.8
## 179 88DD MYSRES010DEL01 38 4.7
## 180 1B58 JAPRES03DEL01 29 4.6
## 181 87A8 MYSRES04DEL03 31 4.6
## 182 3F8D MUMRES06DEL03 25 4.8
## 183 290C MYSRES18DEL01 35 4.9
## 184 7ECE RANCHIRES18DEL01 39 4.7
## 185 1365 INDORES06DEL02 38 3.9
## 186 33A4 CHENRES15DEL03 35 4.7
## 187 8F3C JAPRES07DEL02 29 4.7
## 188 2FE1 SURRES18DEL03 27 4.6
## 189 4B5B MYSRES04DEL03 38 4.3
## 190 7405 SURRES19DEL01 36 4.9
## 191 6245 HYDRES04DEL01 26 4.0
## 192 D02B KNPRES16DEL03 26 4.1
## 193 1F0E MYSRES12DEL03 36 4.9
## 194 7085 JAPRES09DEL01 21 4.7
## 195 57FA CHENRES04DEL02 35 4.7
## 196 57FC MYSRES09DEL01 20 4.5
## 197 7A1F PUNERES19DEL03 23 4.6
## 198 CEAC KOLRES18DEL03 37 5.0
## 199 A0A5 BANGRES14DEL03 26 4.8
## 200 892D SURRES09DEL02 29 5.0
## 201 6118 INDORES09DEL01 26 4.9
## 202 46FD PUNERES09DEL03 29 4.8
## 203 5134 RANCHIRES01DEL02 29 4.7
## 204 D418 LUDHRES010DEL03 21 4.9
## 205 256C MYSRES13DEL02 22 4.3
## 206 6055 JAPRES18DEL02 31 4.0
## 207 7BFB COIMBRES11DEL02 20 4.5
## 208 7220 VADRES13DEL02 30 3.9
## 209 1568 BANGRES01DEL01 36 4.8
## 210 41EA MYSRES08DEL01 24 4.7
## 211 1C60 MYSRES15DEL01 32 4.7
## 212 7944 CHENRES02DEL03 25 5.0
## 213 77EE HYDRES12DEL01 27 4.5
## 214 2192 BANGRES07DEL01 32 4.1
## 215 48C7 CHENRES09DEL01 23 4.7
## 216 78BF BANGRES04DEL02 39 4.4
## 217 7A5A VADRES04DEL03 20 4.8
## 218 4321 JAPRES13DEL02 20 4.8
## 219 E00D ALHRES07DEL03 29 4.6
## 220 1.00E+86 JAPRES06DEL03 26 4.9
## 221 CFF0 KOCRES03DEL01 25 5.0
## 222 1E2D BANGRES13DEL01 34 4.7
## 223 D072 GOARES02DEL01 31 4.9
## 224 9A57 RANCHIRES03DEL02 24 4.7
## 225 427B HYDRES12DEL03 30 4.9
## 226 5.20E+03 JAPRES07DEL02 36 4.8
## 227 9395 JAPRES13DEL03 36 4.4
## 228 B5D2 JAPRES18DEL03 26 4.7
## 229 6C4D VADRES05DEL01 30 4.6
## 230 D1C8 AURGRES02DEL03 20 4.8
## 231 98CA BANGRES17DEL02 33 4.7
## 232 1B5B RANCHIRES14DEL01 29 4.6
## 233 644B MUMRES20DEL03 34 4.0
## 234 7A2D HYDRES14DEL02 36 4.6
## 235 E13F KNPRES02DEL02 33 4.6
## 236 C278 AURGRES19DEL01 22 4.8
## 237 5912 PUNERES18DEL01 38 4.7
## 238 AB33 BANGRES08DEL02 27 4.9
## 239 DD96 KNPRES16DEL01 32 4.8
## 240 7646 BANGRES010DEL02 26 4.8
## 241 5EF5 INDORES03DEL02 29 4.5
## 242 7EF7 COIMBRES16DEL02 31 4.5
## 243 1136 HYDRES20DEL01 28 4.6
## 244 D032 AGRRES08DEL03 21 4.8
## 245 199D COIMBRES15DEL02 21 4.0
## 246 871C RANCHIRES12DEL02 30 4.9
## 247 CF18 ALHRES05DEL01 29 4.7
## 248 1DAD MUMRES01DEL01 20 4.8
## 249 C918 AURGRES14DEL03 28 5.0
## 250 33C1 MUMRES13DEL01 25 4.7
## 251 1B50 PUNERES16DEL01 29 4.6
## 252 27FE CHENRES14DEL02 38 4.8
## 253 1536 HYDRES06DEL03 39 4.9
## 254 A152 SURRES18DEL03 26 4.9
## 255 9C9A COIMBRES02DEL01 33 4.4
## 256 3052 VADRES13DEL03 24 4.6
## 257 1045 COIMBRES16DEL01 24 4.9
## 258 2391 INDORES13DEL03 33 4.5
## 259 7DDD INDORES12DEL03 35 4.2
## 260 279F MUMRES13DEL03 27 4.2
## 261 E76 CHENRES06DEL02 29 4.6
## 262 AEFA BANGRES06DEL03 29 4.5
## 263 DAD6 AGRRES11DEL02 34 4.7
## 264 C237 KNPRES15DEL02 20 4.7
## 265 4EFC VADRES13DEL01 29 4.8
## 266 6.00E+33 VADRES01DEL03 22 4.9
## 267 D92F AGRRES03DEL01 35 4.9
## 268 D902 KOCRES14DEL01 32 4.4
## 269 D91A LUDHRES18DEL01 28 4.9
## 270 4F0C COIMBRES14DEL02 30 4.7
## 271 8456 CHENRES19DEL01 22 4.7
## 272 3329 COIMBRES15DEL02 36 4.7
## 273 1AA8 SURRES20DEL02 23 4.8
## 274 144D INDORES18DEL02 22 4.8
## 275 D27B AURGRES04DEL02 29 4.5
## 276 ADD6 CHENRES01DEL01 34 4.9
## 277 7C60 BANGRES010DEL01 38 4.1
## 278 4FB8 VADRES09DEL01 35 5.0
## 279 1406 VADRES15DEL03 38 4.7
## 280 C63E DEHRES010DEL01 32 4.3
## 281 7B03 BANGRES07DEL01 20 4.5
## 282 4314 CHENRES05DEL02 25 4.9
## 283 9E5A JAPRES06DEL03 29 4.5
## 284 C044 AGRRES12DEL03 32 4.7
## 285 D7D3 DEHRES12DEL02 39 4.1
## 286 70B1 VADRES01DEL01 31 4.4
## 287 5.90E+06 SURRES13DEL02 37 4.5
## 288 DEAC LUDHRES05DEL03 36 4.9
## 289 A053 JAPRES16DEL03 37 3.8
## 290 4DB PUNERES02DEL03 29 4.6
## 291 7031 COIMBRES14DEL01 38 4.9
## 292 D3BC AGRRES010DEL02 37 4.4
## 293 8DE9 SURRES14DEL03 21 4.9
## 294 7C84 JAPRES04DEL03 35 4.9
## 295 96D2 JAPRES01DEL03 22 4.8
## 296 77B5 HYDRES010DEL02 28 4.8
## 297 75DC MYSRES16DEL02 39 4.0
## 298 BE78 BANGRES15DEL02 29 4.5
## 299 35A2 CHENRES15DEL02 39 4.6
## 300 416F MYSRES05DEL02 25 4.9
## 301 A4F5 COIMBRES03DEL03 34 5.0
## 302 A4EB BANGRES01DEL02 22 4.8
## 303 D4DA KNPRES12DEL01 27 5.0
## 304 B59B MUMRES010DEL01 28 4.5
## 305 4F73 COIMBRES20DEL03 32 5.0
## 306 6A7 RANCHIRES08DEL01 29 4.6
## 307 ADAE HYDRES16DEL01 27 4.6
## 308 B785 MUMRES01DEL02 35 3.9
## 309 8366 MYSRES08DEL03 22 4.6
## 310 BFF2 AURGRES16DEL03 35 4.7
## 311 8F58 VADRES11DEL01 30 4.6
## 312 247C MYSRES09DEL02 39 4.8
## 313 43B9 HYDRES18DEL03 33 4.8
## 314 9E8A PUNERES05DEL02 20 4.7
## 315 47AF VADRES04DEL03 20 4.7
## 316 1B40 MYSRES02DEL03 34 4.2
## 317 B4FB MYSRES03DEL01 22 4.7
## 318 B50 JAPRES16DEL02 37 4.3
## 319 3376 MUMRES010DEL01 20 4.8
## 320 BECB SURRES15DEL02 33 4.9
## 321 4357 INDORES06DEL02 21 5.0
## 322 1486 VADRES06DEL01 33 4.6
## 323 5B70 BANGRES04DEL02 24 4.6
## 324 490E RANCHIRES12DEL02 36 4.7
## 325 3.00E+21 MUMRES19DEL03 30 4.6
## 326 26D4 HYDRES05DEL03 32 4.9
## 327 B20F HYDRES010DEL02 28 4.6
## 328 7ADA JAPRES07DEL02 21 4.7
## 329 C4B3 AURGRES12DEL02 39 4.9
## 330 2A01 CHENRES15DEL02 32 4.7
## 331 6357 MUMRES07DEL03 20 4.5
## 332 73C VADRES12DEL03 29 4.6
## 333 9C2A JAPRES16DEL01 36 5.0
## 334 31BD BANGRES09DEL02 28 4.8
## 335 970A PUNERES12DEL02 32 4.5
## 336 2675 CHENRES19DEL01 39 4.4
## 337 A200 SURRES07DEL01 30 4.7
## 338 9BF9 PUNERES19DEL01 32 4.4
## 339 555D INDORES15DEL03 23 4.6
## 340 5BD9 MUMRES01DEL01 21 4.8
## 341 B2E9 INDORES17DEL03 31 4.2
## 342 8633 MUMRES13DEL02 37 4.6
## 343 4C34 SURRES18DEL02 20 4.5
## 344 A998 JAPRES14DEL01 28 4.5
## 345 5EFD MYSRES08DEL01 22 4.9
## 346 8D83 HYDRES19DEL03 20 4.7
## 347 8A06 RANCHIRES010DEL02 34 4.8
## 348 5A2D CHENRES09DEL01 38 4.8
## 349 4C1 BANGRES13DEL02 29 4.6
## 350 83EA RANCHIRES01DEL01 32 4.5
## 351 2185 PUNERES12DEL01 34 4.9
## 352 1.20E+08 INDORES07DEL03 33 3.9
## 353 5956 INDORES19DEL02 34 4.5
## 354 7814 VADRES04DEL03 32 4.6
## 355 CEE BANGRES20DEL01 29 4.6
## 356 5A07 MYSRES02DEL02 34 4.7
## 357 340F SURRES05DEL01 26 4.6
## 358 8094 BANGRES13DEL02 31 4.0
## 359 3241 SURRES010DEL01 39 4.8
## 360 DE16 ALHRES09DEL01 27 4.8
## 361 A176 HYDRES18DEL02 32 5.0
## 362 C8C7 KOLRES03DEL02 32 4.5
## 363 AA97 RANCHIRES16DEL01 39 4.1
## 364 A64C PUNERES12DEL01 36 4.8
## 365 7DF5 BANGRES16DEL03 37 4.1
## 366 869E RANCHIRES01DEL03 37 4.8
## 367 7725 PUNERES12DEL01 38 3.7
## 368 B6D2 RANCHIRES01DEL02 28 4.7
## 369 6EDB PUNERES06DEL01 34 3.8
## 370 AAB4 CHENRES15DEL01 32 4.9
## 371 AABD JAPRES010DEL03 22 4.7
## 372 C873 KOLRES15DEL03 31 4.0
## 373 1494 MYSRES15DEL02 27 4.0
## 374 1875 COIMBRES19DEL01 29 4.9
## 375 2AF5 COIMBRES09DEL03 38 4.8
## 376 97B6 SURRES19DEL02 35 4.8
## 377 A56E BANGRES20DEL03 31 4.9
## 378 AA3F CHENRES16DEL03 30 4.3
## 379 6226 RANCHIRES12DEL03 24 4.9
## 380 996B HYDRES11DEL03 33 4.8
## 381 C595 DEHRES19DEL01 29 4.6
## 382 6BFB MUMRES15DEL01 38 4.6
## 383 7E1F RANCHIRES18DEL03 26 4.9
## 384 B20D VADRES07DEL01 39 4.8
## 385 A11B VADRES04DEL01 24 4.5
## 386 1DB4 PUNERES17DEL03 34 4.2
## 387 2258 JAPRES07DEL03 26 4.7
## 388 1FD6 INDORES07DEL01 35 4.7
## 389 6DE1 BANGRES04DEL03 36 4.2
## 390 8B39 VADRES01DEL01 24 2.6
## 391 8F8 VADRES18DEL01 29 4.6
## 392 997B MUMRES07DEL01 33 4.3
## 393 CDB6 AURGRES03DEL01 26 4.6
## 394 5A7A CHENRES17DEL01 32 5.0
## 395 6DE3 JAPRES20DEL03 37 4.9
## 396 E27A KOCRES14DEL02 26 4.9
## 397 AB52 COIMBRES09DEL02 31 4.8
## 398 4632 CHENRES08DEL03 37 4.6
## 399 4B8A MUMRES08DEL01 26 4.7
## 400 1623 INDORES010DEL03 37 4.8
## 401 AA66 RANCHIRES03DEL02 22 4.6
## 402 7EA SURRES04DEL03 21 4.4
## 403 4DFA BANGRES16DEL01 22 4.0
## 404 A667 CHENRES14DEL01 38 4.5
## 405 6E9D CHENRES03DEL01 28 4.0
## 406 5807 VADRES09DEL02 29 4.7
## 407 9A32 VADRES11DEL01 31 4.9
## 408 917D SURRES12DEL02 24 4.8
## 409 8673 VADRES04DEL01 33 4.8
## 410 4AC4 PUNERES11DEL03 26 4.9
## 411 1B6A RANCHIRES18DEL02 29 4.6
## 412 7BD7 COIMBRES14DEL02 20 4.7
## 413 9735 SURRES19DEL02 29 4.8
## 414 1A54 BANGRES15DEL01 32 4.0
## 415 819D VADRES20DEL01 20 4.9
## 416 96F0 CHENRES19DEL01 26 5.0
## 417 66F1 SURRES09DEL01 38 4.8
## 418 C6E9 GOARES17DEL01 34 4.6
## 419 B8AA JAPRES19DEL02 27 4.5
## 420 C668 KOLRES18DEL01 29 5.0
## 421 4C13 SURRES07DEL02 24 4.9
## 422 824A INDORES12DEL01 21 4.9
## 423 CB5B LUDHRES16DEL01 33 4.4
## 424 4CAB RANCHIRES06DEL03 35 4.7
## 425 AFC4 COIMBRES16DEL02 35 4.7
## 426 C003 DEHRES13DEL02 29 4.6
## 427 18C0 MYSRES06DEL03 29 4.6
## 428 1655 MUMRES16DEL01 29 4.8
## 429 7573 PUNERES19DEL02 21 4.9
## 430 9201 BANGRES08DEL01 29 4.6
## 431 A940 BANGRES010DEL03 22 4.7
## 432 604 MYSRES20DEL01 29 4.6
## 433 D6EF AGRRES01DEL02 24 4.4
## 434 B39B MYSRES18DEL01 23 4.9
## 435 8CE7 CHENRES010DEL01 27 4.6
## 436 9873 COIMBRES20DEL02 33 4.1
## 437 29AB HYDRES16DEL01 35 4.6
## 438 8198 COIMBRES14DEL03 21 4.7
## 439 7B24 CHENRES11DEL03 39 4.4
## 440 92EC CHENRES010DEL02 34 4.8
## 441 1ACA SURRES16DEL01 29 4.9
## 442 A348 MUMRES07DEL02 20 4.7
## 443 C733 ALHRES11DEL01 20 4.8
## 444 14D0 RANCHIRES01DEL03 30 4.7
## 445 D800 DEHRES07DEL02 37 4.7
## 446 17DB INDORES08DEL03 39 4.6
## 447 6D58 HYDRES01DEL01 26 5.0
## 448 DED5 ALHRES11DEL02 32 4.9
## 449 A20A PUNERES13DEL03 21 4.7
## 450 7C9E BANGRES20DEL02 35 4.8
## 451 5EF3 RANCHIRES01DEL03 39 4.6
## 452 80C2 BANGRES08DEL02 39 5.0
## 453 D2B0 KOCRES20DEL01 27 4.9
## 454 70FF CHENRES16DEL03 33 4.8
## 455 548E HYDRES04DEL02 33 4.8
## 456 26F1 BANGRES01DEL01 37 4.7
## 457 4A1B COIMBRES12DEL02 20 4.6
## 458 BF6C LUDHRES07DEL02 20 4.6
## 459 5561 PUNERES010DEL01 31 4.2
## 460 AFD4 COIMBRES19DEL02 27 4.6
## 461 6957 VADRES010DEL02 37 4.9
## 462 9151 BANGRES14DEL02 34 4.4
## 463 9D4C COIMBRES05DEL03 25 4.7
## 464 D413 AURGRES07DEL02 37 4.7
## 465 C677 KOCRES11DEL01 23 4.7
## 466 4421 MYSRES17DEL01 27 5.0
## 467 A631 HYDRES13DEL02 36 4.7
## 468 3A16 JAPRES14DEL03 30 4.3
## 469 DF8E AURGRES20DEL01 20 4.9
## 470 A04 COIMBRES13DEL01 28 4.7
## 471 4300 VADRES07DEL02 36 4.0
## 472 58C2 CHENRES08DEL02 20 4.7
## 473 BBC6 PUNERES04DEL01 22 4.7
## 474 50C4 MYSRES15DEL01 28 4.7
## 475 BCD5 SURRES03DEL01 34 4.8
## 476 6234 VADRES01DEL01 25 4.8
## 477 CC11 AURGRES05DEL02 38 5.0
## 478 6445 JAPRES17DEL02 34 3.5
## 479 33DC VADRES13DEL01 24 4.9
## 480 ACD8 RANCHIRES04DEL03 33 4.6
## 481 BFB4 KOLRES14DEL02 21 4.6
## 482 D989 KOLRES04DEL03 25 4.6
## 483 8B3F VADRES14DEL01 23 4.9
## 484 DEB4 LUDHRES06DEL02 34 4.9
## 485 A243 HYDRES010DEL01 25 4.7
## 486 D446 ALHRES08DEL03 28 4.9
## 487 6436 PUNERES07DEL01 34 3.7
## 488 5D2D JAPRES20DEL01 24 4.5
## 489 BB22 CHENRES14DEL03 31 5.0
## 490 8B2B MUMRES14DEL03 38 4.6
## 491 C1EC DEHRES04DEL03 32 4.8
## 492 DE6F AURGRES03DEL03 28 5.0
## 493 33A0 JAPRES06DEL03 29 4.5
## 494 B712 CHENRES05DEL02 28 4.8
## 495 8299 MYSRES15DEL02 39 4.8
## 496 9.00E+30 VADRES16DEL01 39 4.8
## 497 9155 INDORES05DEL02 26 4.8
## 498 3D8C INDORES02DEL03 33 4.8
## 499 D3FA ALHRES17DEL03 37 4.9
## Restaurant_latitude Restaurant_longitude Delivery_location_latitude
## 1 22.745049 75.89247 22.76505
## 2 12.913041 77.68324 13.04304
## 3 12.914264 77.67840 12.92426
## 4 11.003669 76.97649 11.05367
## 5 12.972793 80.24998 13.01279
## 6 17.431668 78.40832 17.46167
## 7 23.369746 85.33982 23.47975
## 8 12.352058 76.60665 12.48206
## 9 17.433809 78.38674 17.56381
## 10 30.327968 78.04611 30.39797
## 11 10.003064 76.30759 10.04306
## 12 18.562450 73.91662 18.65245
## 13 30.899584 75.80935 30.91958
## 14 26.463504 80.37293 26.59350
## 15 19.176269 72.83672 19.26627
## 16 12.311072 76.65488 12.35107
## 17 18.592718 73.77357 18.70272
## 18 17.426228 78.40749 17.49623
## 19 22.552672 88.35289 22.58267
## 20 18.563934 73.91537 18.64393
## 21 23.357804 85.32515 23.48780
## 22 11.003669 76.97649 11.01367
## 23 12.986047 80.21811 13.11605
## 24 19.221315 72.86238 19.26131
## 25 13.005801 80.25074 13.11580
## 26 26.849596 75.80051 26.87960
## 27 21.160522 72.77148 21.25052
## 28 12.934179 77.61580 13.02418
## 29 18.514210 73.83843 18.62421
## 30 11.022477 76.99567 11.05248
## 31 21.160437 72.77421 21.21044
## 32 15.513150 73.78346 15.56315
## 33 15.561295 73.74948 15.60130
## 34 0.000000 0.00000 0.11000
## 35 18.563934 73.91537 18.69393
## 36 18.551440 73.80486 18.62144
## 37 18.593481 73.78590 18.63348
## 38 21.173343 72.79273 21.18334
## 39 17.451976 78.38588 17.47198
## 40 12.972532 77.60818 12.99253
## 41 12.972532 77.60818 13.04253
## 42 13.064181 80.23644 13.13418
## 43 19.121999 72.90849 19.20200
## 44 21.149569 72.77270 21.23957
## 45 19.091458 72.82781 19.20146
## 46 22.539129 88.36551 22.55913
## 47 19.221315 72.86238 19.28131
## 48 12.970324 77.64575 13.03032
## 49 13.064181 80.23644 13.10418
## 50 21.175975 72.79550 21.18597
## 51 23.369746 85.33982 23.40975
## 52 12.914264 77.67840 13.02426
## 53 0.000000 0.00000 0.03000
## 54 11.003681 76.97553 11.08368
## 55 21.173343 72.79273 21.23334
## 56 10.961850 76.97108 11.05185
## 57 27.165108 78.01505 27.25511
## 58 0.000000 0.00000 0.08000
## 59 26.888420 75.80069 26.89842
## 60 0.000000 0.00000 0.06000
## 61 26.913987 75.75289 26.99399
## 62 12.308500 76.66581 12.33850
## 63 21.183434 72.81449 21.25343
## 64 19.254567 72.84892 19.36457
## 65 18.551440 73.80486 18.59144
## 66 25.449659 81.83974 25.46966
## 67 30.372202 78.07715 30.42220
## 68 0.000000 0.00000 0.02000
## 69 0.000000 0.00000 0.04000
## 70 12.972793 80.24998 13.06279
## 71 21.157735 72.76878 21.19774
## 72 21.186438 72.79412 21.22644
## 73 0.000000 0.00000 0.08000
## 74 0.000000 0.00000 0.02000
## 75 12.935662 77.61413 12.97566
## 76 17.431477 78.40035 17.49148
## 77 0.000000 0.00000 0.05000
## 78 13.064181 80.23644 13.15418
## 79 12.933298 77.61429 13.02330
## 80 22.311358 73.16480 22.35136
## 81 12.934365 77.61616 13.04437
## 82 0.000000 0.00000 0.11000
## 83 13.086438 80.22067 13.19644
## 84 19.254567 72.84892 19.36457
## 85 26.913483 75.80314 26.93348
## 86 17.411028 78.32964 17.47103
## 87 18.516216 73.84253 18.56622
## 88 15.569600 73.74229 15.60960
## 89 19.876428 75.36479 19.95643
## 90 12.939496 77.62600 12.94950
## 91 17.433809 78.38674 17.54381
## 92 23.374878 85.33574 23.38488
## 93 -27.163303 78.05704 27.23330
## 94 22.748060 75.89340 22.76806
## 95 26.891191 75.80208 26.98119
## 96 21.160437 72.77421 21.27044
## 97 12.316967 76.60307 12.36697
## 98 18.927584 72.83258 19.01758
## 99 11.022298 76.99835 11.07230
## 100 12.325461 76.63228 12.36546
## 101 18.530963 73.82897 18.64096
## 102 17.458998 78.50037 17.48900
## 103 19.181300 72.83619 19.31130
## 104 11.022477 76.99567 11.03248
## 105 22.727021 75.88417 22.74702
## 106 12.979166 77.64071 13.06917
## 107 18.994237 72.82555 19.10424
## 108 12.284747 76.62586 12.41475
## 109 21.175975 72.79550 21.19598
## 110 11.000762 76.98188 11.13076
## 111 21.173343 72.79273 21.28334
## 112 26.479108 80.31504 26.49911
## 113 21.175104 72.80434 21.25510
## 114 19.176269 72.83672 19.28627
## 115 12.975377 77.69666 13.02538
## 116 23.359194 85.32545 23.41919
## 117 12.297954 76.66517 12.30795
## 118 23.359407 85.32506 23.43941
## 119 23.416792 85.31684 23.50679
## 120 26.892312 75.80690 26.92231
## 121 22.312790 73.17028 22.42279
## 122 22.761593 75.88636 22.87159
## 123 11.026117 76.94465 11.06612
## 124 13.064181 80.23644 13.10418
## 125 26.483042 80.31783 26.53304
## 126 11.000762 76.98188 11.13076
## 127 23.359033 85.32535 23.46903
## 128 22.569358 88.43345 22.59936
## 129 12.914264 77.67840 12.99426
## 130 19.121999 72.90849 19.16200
## 131 21.157729 72.76873 21.16773
## 132 22.311603 73.16501 22.37160
## 133 18.536562 73.89648 18.55656
## 134 22.745536 75.89311 22.76554
## 135 12.933298 77.61429 13.02330
## 136 12.939496 77.62600 12.98950
## 137 0.000000 0.00000 0.04000
## 138 17.426228 78.40749 17.43623
## 139 12.934365 77.61616 13.02436
## 140 11.003669 76.97649 11.06367
## 141 18.543626 73.90510 18.57363
## 142 22.311358 73.16480 22.38136
## 143 12.986047 80.21811 13.09605
## 144 17.412330 78.44965 17.47233
## 145 21.171060 72.78929 21.25106
## 146 21.186884 72.79362 21.22688
## 147 11.026117 76.94465 11.05612
## 148 0.000000 0.00000 0.04000
## 149 19.065838 72.83266 19.13584
## 150 0.000000 0.00000 0.04000
## 151 12.980410 77.64049 13.04041
## 152 11.022477 76.99567 11.13248
## 153 0.000000 0.00000 0.02000
## 154 0.000000 0.00000 0.01000
## 155 12.310972 76.65926 12.35097
## 156 11.025083 77.01539 11.10508
## 157 12.316967 76.60307 12.44697
## 158 22.538731 88.36488 22.59873
## 159 11.001753 76.98624 11.11175
## 160 22.310237 73.15892 22.40024
## 161 23.359033 85.32535 23.43903
## 162 18.593481 73.78590 18.66348
## 163 21.186438 72.79412 21.23644
## 164 22.725748 75.89850 22.77575
## 165 0.000000 0.00000 0.07000
## 166 17.450851 78.37935 17.54085
## 167 13.081878 80.24852 13.17188
## 168 10.035573 76.33696 10.10557
## 169 22.308096 73.16775 22.38810
## 170 12.975996 80.22190 12.98600
## 171 12.308500 76.66581 12.33850
## 172 19.178321 72.83472 19.18832
## 173 0.000000 0.00000 0.06000
## 174 26.910262 75.78301 26.99026
## 175 25.443994 81.86019 25.51399
## 176 23.359194 85.32545 23.44919
## 177 17.458998 78.50037 17.50900
## 178 18.530963 73.82897 18.59096
## 179 12.321214 76.62109 12.36121
## 180 26.913483 75.80314 26.98348
## 181 12.308500 76.66581 12.36850
## 182 19.055831 72.83398 19.11583
## 183 12.337928 76.61789 12.40793
## 184 23.351489 85.32425 23.42149
## 185 22.728163 75.88421 22.80816
## 186 13.026286 80.27523 13.05629
## 187 26.766536 75.83733 26.78654
## 188 21.149834 72.77867 21.17983
## 189 12.308500 76.66581 12.39850
## 190 21.149669 72.77263 21.21967
## 191 17.411028 78.32964 17.45103
## 192 26.482581 80.31563 26.57258
## 193 12.284747 76.62586 12.34475
## 194 26.911378 75.78903 26.92138
## 195 13.029780 80.20881 13.10978
## 196 12.323194 76.63058 12.36319
## 197 18.563934 73.91537 18.65393
## 198 22.569367 88.43319 22.62937
## 199 12.949934 77.69939 13.00993
## 200 21.175975 72.79550 21.25597
## 201 22.725835 75.88765 22.83583
## 202 18.536562 73.89648 18.59656
## 203 23.416792 85.31684 23.43679
## 204 30.892860 75.82220 30.92286
## 205 12.310972 76.65926 12.33097
## 206 26.913987 75.75289 26.99399
## 207 11.001753 76.98624 11.02175
## 208 22.310237 73.15892 22.39024
## 209 12.933284 77.61543 13.00328
## 210 12.297954 76.66517 12.33795
## 211 12.352058 76.60665 12.36206
## 212 13.086438 80.22067 13.14644
## 213 17.429585 78.39262 17.46958
## 214 12.978453 77.64369 13.04845
## 215 13.044694 80.26147 13.08469
## 216 12.980410 77.64049 13.11041
## 217 0.000000 0.00000 0.06000
## 218 26.846156 75.80230 26.92616
## 219 25.449659 81.83974 25.47966
## 220 26.911927 75.79728 27.05193
## 221 10.020683 76.31063 10.03068
## 222 12.935662 77.61413 12.97566
## 223 15.585658 73.74361 15.62566
## 224 0.000000 0.00000 0.13000
## 225 17.429585 78.39262 17.51958
## 226 26.766536 75.83733 26.89654
## 227 26.846156 75.80230 26.98616
## 228 26.913987 75.75289 27.05399
## 229 22.310526 73.17094 22.42053
## 230 0.000000 0.00000 0.03000
## 231 12.972532 77.60818 13.02253
## 232 0.000000 0.00000 0.07000
## 233 19.103249 72.84675 19.19325
## 234 17.426228 78.40749 17.50623
## 235 26.471617 80.31356 26.49162
## 236 19.866969 75.31889 19.97697
## 237 18.593481 73.78590 18.60348
## 238 12.906229 77.59679 12.98623
## 239 26.482581 80.31563 26.55258
## 240 12.933298 77.61429 13.01330
## 241 22.751857 75.86670 22.88186
## 242 11.010375 76.95295 11.09037
## 243 17.483216 78.55211 17.52322
## 244 27.160934 78.04409 27.22093
## 245 11.006686 76.95174 11.05669
## 246 0.000000 0.00000 0.08000
## 247 25.457687 81.83558 25.49769
## 248 19.126630 72.82998 19.13663
## 249 19.875016 75.32241 19.96502
## 250 19.178321 72.83472 19.24832
## 251 18.536718 73.83033 18.64672
## 252 13.026279 80.17457 13.04628
## 253 17.455894 78.37547 17.48589
## 254 21.149834 72.77867 21.20983
## 255 11.022477 76.99567 11.09248
## 256 22.310237 73.15892 22.37024
## 257 11.010375 76.95295 11.05038
## 258 22.745049 75.89247 22.83505
## 259 22.748060 75.89340 22.83806
## 260 19.178321 72.83472 19.26832
## 261 13.054347 80.25722 13.10435
## 262 12.979096 77.64062 13.00910
## 263 27.163303 78.05704 27.29330
## 264 26.482419 80.32094 26.50242
## 265 22.310237 73.15892 22.35024
## 266 22.307898 73.16779 22.36790
## 267 27.160832 78.01161 27.23083
## 268 10.027014 76.30805 10.13701
## 269 30.890184 75.82962 31.00018
## 270 11.003681 76.97553 11.13368
## 271 12.986047 80.21811 13.09605
## 272 11.006686 76.95174 11.05669
## 273 21.152760 72.77806 21.28276
## 274 22.753839 75.89743 22.77384
## 275 19.876106 75.34077 20.00611
## 276 13.005801 80.25074 13.11580
## 277 12.933298 77.61429 12.94330
## 278 0.000000 0.00000 0.07000
## 279 0.000000 0.00000 0.06000
## 280 30.328174 78.04912 30.39817
## 281 12.978453 77.64369 13.04845
## 282 13.058616 80.26415 13.13862
## 283 26.911927 75.79728 26.97193
## 284 -27.165108 78.01505 27.22511
## 285 0.000000 0.00000 0.13000
## 286 22.307898 73.16779 22.41790
## 287 21.170096 72.78912 21.22010
## 288 30.905562 75.83284 30.99556
## 289 26.849596 75.80051 26.98960
## 290 -18.551440 -73.80486 18.61144
## 291 11.003681 76.97553 11.04368
## 292 27.163303 78.05704 27.24330
## 293 21.157729 72.76873 21.24773
## 294 26.902328 75.79426 26.93233
## 295 26.905190 75.81075 26.99519
## 296 17.428294 78.40442 17.44829
## 297 12.316967 76.60307 12.44697
## 298 12.975377 77.69666 13.05538
## 299 13.026286 80.27523 13.04629
## 300 12.323978 76.62796 12.45398
## 301 11.025083 77.01539 11.05508
## 302 12.933284 77.61543 12.95328
## 303 26.492106 80.32780 26.56211
## 304 19.003517 72.82765 19.07352
## 305 10.994136 76.96330 11.02414
## 306 23.353783 85.32697 23.46378
## 307 17.440827 78.39339 17.51083
## 308 19.126630 72.82998 19.20663
## 309 12.297954 76.66517 12.32795
## 310 0.000000 0.00000 0.03000
## 311 22.308096 73.16775 22.31810
## 312 12.323194 76.63058 12.34319
## 313 17.450851 78.37935 17.51085
## 314 18.543626 73.90510 18.62363
## 315 0.000000 0.00000 0.03000
## 316 12.304569 76.64362 12.36457
## 317 12.299524 76.64262 12.36952
## 318 26.849596 75.80051 26.86960
## 319 19.003517 72.82765 19.01352
## 320 21.160522 72.77148 21.21052
## 321 22.728163 75.88421 22.85816
## 322 22.312790 73.17028 22.38279
## 323 12.980410 77.64049 13.06041
## 324 0.000000 0.00000 0.02000
## 325 19.131141 72.81307 19.16114
## 326 17.433809 78.38674 17.52381
## 327 17.428294 78.40442 17.55829
## 328 26.766536 75.83733 26.89654
## 329 19.879631 75.32340 19.89963
## 330 13.026286 80.27523 13.04629
## 331 19.091458 72.82781 19.15146
## 332 0.000000 0.00000 0.03000
## 333 26.849596 75.80051 26.85960
## 334 12.934179 77.61580 12.95418
## 335 18.520016 73.83055 18.57002
## 336 12.986047 80.21811 13.09605
## 337 21.170798 72.79049 21.28080
## 338 18.563934 73.91537 18.60393
## 339 22.760072 75.89257 22.85007
## 340 19.126630 72.82998 19.16663
## 341 22.761226 75.88752 22.82123
## 342 19.178321 72.83472 19.19832
## 343 21.149834 72.77867 21.19983
## 344 26.888420 75.80069 26.89842
## 345 12.297954 76.66517 12.30795
## 346 17.458998 78.50037 17.51900
## 347 23.354422 85.33290 23.48442
## 348 13.044694 80.26147 13.08469
## 349 12.935662 77.61413 13.06566
## 350 23.416792 85.31684 23.45679
## 351 18.520016 73.83055 18.63002
## 352 22.722634 75.88696 22.81263
## 353 22.745536 75.89311 22.76554
## 354 0.000000 0.00000 0.03000
## 355 12.972161 77.59601 13.04216
## 356 12.304569 76.64362 12.35457
## 357 21.175104 72.80434 21.24510
## 358 12.935662 77.61413 13.01566
## 359 21.171060 72.78929 21.21106
## 360 0.000000 0.00000 0.01000
## 361 17.450851 78.37935 17.50085
## 362 22.526461 88.36445 22.57646
## 363 23.371292 85.32787 23.44129
## 364 18.520016 73.83055 18.53002
## 365 13.029198 77.57100 13.05920
## 366 23.416792 85.31684 23.47679
## 367 18.520016 73.83055 18.63002
## 368 23.416792 85.31684 23.43679
## 369 18.546258 73.90434 18.65626
## 370 13.026286 80.27523 13.13629
## 371 26.921411 75.79360 26.98141
## 372 22.552672 88.35289 22.64267
## 373 12.352058 76.60665 12.43206
## 374 11.022298 76.99835 11.13230
## 375 11.008638 76.98431 11.06864
## 376 21.149669 72.77263 21.19967
## 377 12.972161 77.59601 13.00216
## 378 13.049645 80.24227 13.13964
## 379 0.000000 0.00000 0.06000
## 380 17.430448 78.41821 17.52045
## 381 30.372202 78.07715 30.44220
## 382 19.176269 72.83672 19.21627
## 383 23.351489 85.32425 23.41149
## 384 0.000000 0.00000 0.04000
## 385 0.000000 0.00000 0.11000
## 386 18.530963 73.82897 18.59096
## 387 26.766536 75.83733 26.82654
## 388 22.722634 75.88696 22.76263
## 389 12.980410 77.64049 13.01041
## 390 22.307898 73.16779 22.41790
## 391 0.000000 0.00000 0.07000
## 392 19.091458 72.82781 19.20146
## 393 19.874733 75.35394 19.98473
## 394 13.045479 80.23311 13.15548
## 395 26.956431 75.77665 27.04643
## 396 10.027014 76.30805 10.15701
## 397 11.008638 76.98431 11.13864
## 398 13.022394 80.24244 13.11239
## 399 19.065838 72.83266 19.17584
## 400 22.750040 75.90285 22.78004
## 401 0.000000 0.00000 0.13000
## 402 21.173493 72.80195 21.20349
## 403 13.029198 77.57100 13.03920
## 404 13.026279 80.17457 13.03628
## 405 13.091809 80.21910 13.13181
## 406 0.000000 0.00000 0.13000
## 407 22.308096 73.16775 22.34810
## 408 21.183434 72.81449 21.20343
## 409 0.000000 0.00000 0.04000
## 410 18.533811 73.89932 18.62381
## 411 23.351489 85.32425 23.43149
## 412 11.003681 76.97553 11.05368
## 413 21.149669 72.77263 21.27967
## 414 12.975377 77.69666 13.04538
## 415 22.311358 73.16480 22.42136
## 416 12.986047 80.21811 13.05605
## 417 21.175975 72.79550 21.28598
## 418 15.496162 73.82536 15.53616
## 419 26.913726 75.75282 26.93373
## 420 22.569367 88.43319 22.63937
## 421 21.170798 72.79049 21.30080
## 422 22.748060 75.89340 22.75806
## 423 30.895817 75.81311 30.90582
## 424 23.357804 85.32515 23.41780
## 425 11.010375 76.95295 11.09037
## 426 -30.366322 -78.07045 30.49632
## 427 12.323994 76.62617 12.35399
## 428 19.120083 72.90739 19.19008
## 429 18.563934 73.91537 18.64393
## 430 12.906229 77.59679 13.01623
## 431 12.933298 77.61429 13.02330
## 432 12.337978 76.61679 12.37798
## 433 27.161661 78.01154 27.24166
## 434 12.337928 76.61789 12.34793
## 435 13.066762 80.25186 13.07676
## 436 10.994136 76.96330 11.07414
## 437 17.440827 78.39339 17.55083
## 438 11.003681 76.97553 11.03368
## 439 13.064181 80.23644 13.15418
## 440 13.066762 80.25186 13.11676
## 441 21.160437 72.77421 21.20044
## 442 19.091458 72.82781 19.11146
## 443 0.000000 0.00000 0.07000
## 444 23.416792 85.31684 23.47679
## 445 30.362686 78.06889 30.49269
## 446 22.725748 75.89850 22.75575
## 447 17.410371 78.43722 17.52037
## 448 0.000000 0.00000 0.08000
## 449 18.562450 73.91662 18.65245
## 450 12.972161 77.59601 12.99216
## 451 23.416792 85.31684 23.44679
## 452 12.906229 77.59679 13.03623
## 453 9.979186 76.31736 10.04919
## 454 13.049645 80.24227 13.07964
## 455 17.411028 78.32964 17.54103
## 456 12.933284 77.61543 13.00328
## 457 11.000762 76.98188 11.02076
## 458 0.000000 0.00000 0.08000
## 459 18.539299 73.89790 18.60930
## 460 11.022298 76.99835 11.04230
## 461 22.310329 73.16908 22.36033
## 462 12.949934 77.69939 12.99993
## 463 11.022169 76.99959 11.08217
## 464 19.875908 75.35889 19.92591
## 465 10.006881 76.34540 10.07688
## 466 12.326356 76.61910 12.36636
## 467 17.431477 78.40035 17.45148
## 468 26.888420 75.80069 27.02842
## 469 0.000000 0.00000 0.01000
## 470 11.003669 76.97649 11.07367
## 471 0.000000 0.00000 0.02000
## 472 13.022394 80.24244 13.07239
## 473 18.514210 73.83843 18.62421
## 474 12.352058 76.60665 12.46206
## 475 21.186884 72.79362 21.19688
## 476 22.307898 73.16779 22.41790
## 477 19.875522 75.36713 19.92552
## 478 26.892312 75.80690 26.97231
## 479 22.310237 73.15892 22.42024
## 480 23.359033 85.32535 23.44903
## 481 22.552996 88.35231 22.57300
## 482 22.538731 88.36488 22.59873
## 483 22.311603 73.16501 22.35160
## 484 30.895204 75.82210 30.94520
## 485 17.428294 78.40442 17.49829
## 486 25.450329 81.83428 25.54033
## 487 18.546947 73.90063 18.65695
## 488 26.956431 75.77665 27.06643
## 489 13.026279 80.17457 13.08628
## 490 19.181300 72.83619 19.24130
## 491 30.340722 78.06022 30.43072
## 492 19.874733 75.35394 19.96473
## 493 26.911927 75.79728 27.00193
## 494 13.058616 80.26415 13.18862
## 495 12.352058 76.60665 12.40206
## 496 0.000000 0.00000 0.07000
## 497 22.727021 75.88417 22.74702
## 498 22.651847 75.88199 22.68185
## 499 25.452350 81.84189 25.48235
## Delivery_location_longitude Type_of_order Type_of_vehicle Time_taken.min.
## 1 75.91247 Snack motorcycle 24
## 2 77.81324 Snack scooter 33
## 3 77.68840 Drinks motorcycle 26
## 4 77.02649 Buffet motorcycle 21
## 5 80.28998 Snack scooter 30
## 6 78.43832 Buffet motorcycle 26
## 7 85.44982 Meal scooter 40
## 8 76.73665 Meal motorcycle 32
## 9 78.51674 Buffet motorcycle 34
## 10 78.11611 Snack motorcycle 46
## 11 76.34759 Meal motorcycle 23
## 12 74.00662 Drinks scooter 21
## 13 75.82935 Buffet motorcycle 20
## 14 80.50293 Snack scooter 41
## 15 72.92672 Buffet electric_scooter 20
## 16 76.69488 Meal scooter 33
## 17 73.88357 Snack motorcycle 40
## 18 78.47750 Snack motorcycle 41
## 19 88.38289 Meal motorcycle 15
## 20 73.99537 Snack motorcycle 36
## 21 85.45515 Meal electric_scooter 26
## 22 76.98649 Snack motorcycle 20
## 23 80.34811 Meal scooter 39
## 24 72.90238 Buffet motorcycle 34
## 25 80.36074 Meal electric_scooter 15
## 26 75.83051 Snack motorcycle 18
## 27 72.86148 Drinks scooter 38
## 28 77.70580 Buffet motorcycle 47
## 29 73.94843 Buffet electric_scooter 12
## 30 77.02567 Drinks motorcycle 26
## 31 72.82421 Drinks motorcycle 22
## 32 73.83346 Buffet motorcycle 21
## 33 73.78948 Drinks scooter 25
## 34 0.11000 Snack scooter 35
## 35 74.04537 Drinks scooter 30
## 36 73.87485 Snack motorcycle 22
## 37 73.82590 Snack scooter 10
## 38 72.80273 Meal scooter 19
## 39 78.40588 Snack scooter 11
## 40 77.62818 Buffet scooter 11
## 41 77.67818 Snack motorcycle 28
## 42 80.30644 Snack motorcycle 33
## 43 72.98849 Drinks scooter 33
## 44 72.86270 Snack motorcycle 52
## 45 72.93781 Snack scooter 22
## 46 88.38551 Snack scooter 16
## 47 72.92238 Drinks electric_scooter 11
## 48 77.70575 Drinks scooter 25
## 49 80.27644 Drinks motorcycle 26
## 50 72.80550 Snack scooter 18
## 51 85.37982 Snack motorcycle 16
## 52 77.78840 Drinks scooter 23
## 53 0.03000 Snack motorcycle 15
## 54 77.05553 Drinks motorcycle 36
## 55 72.85273 Snack motorcycle 16
## 56 77.06108 Buffet motorcycle 19
## 57 78.10505 Snack motorcycle 27
## 58 0.08000 Snack scooter 49
## 59 75.81069 Buffet scooter 20
## 60 0.06000 Snack motorcycle 30
## 61 75.83289 Drinks scooter 18
## 62 76.69581 Drinks scooter 22
## 63 72.88449 Drinks scooter 34
## 64 72.95892 Buffet motorcycle 24
## 65 73.84485 Drinks scooter 17
## 66 81.85974 Meal electric_scooter 14
## 67 78.12715 Meal motorcycle 30
## 68 0.02000 Meal scooter 15
## 69 0.04000 Buffet scooter 16
## 70 80.33998 Snack scooter 36
## 71 72.80878 Buffet scooter 18
## 72 72.83411 Meal scooter 17
## 73 0.08000 Buffet motorcycle 15
## 74 0.02000 Buffet motorcycle 17
## 75 77.65413 Drinks scooter 19
## 76 78.46035 Buffet motorcycle 10
## 77 0.05000 Drinks motorcycle 27
## 78 80.32644 Buffet motorcycle 37
## 79 77.70429 Drinks scooter 44
## 80 73.20480 Drinks electric_scooter 28
## 81 77.72616 Snack scooter 42
## 82 0.11000 Snack motorcycle 25
## 83 80.33067 Snack scooter 39
## 84 72.95892 Meal motorcycle 20
## 85 75.82314 Buffet motorcycle 31
## 86 78.38965 Buffet motorcycle 13
## 87 73.89253 Meal motorcycle 28
## 88 73.78229 Snack scooter 19
## 89 75.44479 Buffet motorcycle 42
## 90 77.63600 Drinks motorcycle 23
## 91 78.49674 Meal motorcycle 39
## 92 85.34574 Drinks motorcycle 25
## 93 78.12704 Drinks scooter 15
## 94 75.91340 Drinks scooter 15
## 95 75.89208 Buffet electric_scooter 15
## 96 72.88421 Meal motorcycle 15
## 97 76.65307 Drinks motorcycle 18
## 98 72.92258 Drinks electric_scooter 29
## 99 77.04835 Snack motorcycle 20
## 100 76.67228 Meal scooter 39
## 101 73.93897 Snack motorcycle 19
## 102 78.53037 Snack scooter 19
## 103 72.96619 Meal motorcycle 17
## 104 77.00567 Snack motorcycle 15
## 105 75.90417 Meal motorcycle 19
## 106 77.73071 Buffet motorcycle 29
## 107 72.93555 Snack scooter 22
## 108 76.75586 Drinks scooter 42
## 109 72.81550 Snack scooter 12
## 110 77.11188 Snack motorcycle 38
## 111 72.90273 Drinks motorcycle 23
## 112 80.33504 Meal scooter 15
## 113 72.88434 Snack motorcycle 24
## 114 72.94672 Drinks motorcycle 37
## 115 77.74666 Snack scooter 24
## 116 85.38545 Buffet electric_scooter 13
## 117 76.67517 Drinks motorcycle 16
## 118 85.40506 Drinks motorcycle 42
## 119 85.40684 Meal motorcycle 17
## 120 75.83690 Drinks motorcycle 25
## 121 73.28028 Snack electric_scooter 25
## 122 75.99636 Snack scooter 39
## 123 76.98465 Meal scooter 18
## 124 80.27644 Drinks motorcycle 28
## 125 80.36783 Drinks scooter 18
## 126 77.11188 Meal scooter 18
## 127 85.43535 Snack scooter 49
## 128 88.46345 Drinks motorcycle 15
## 129 77.75840 Drinks motorcycle 21
## 130 72.94849 Snack scooter 23
## 131 72.77873 Meal scooter 11
## 132 73.22501 Snack motorcycle 25
## 133 73.91648 Snack motorcycle 18
## 134 75.91311 Buffet motorcycle 14
## 135 77.70429 Drinks motorcycle 36
## 136 77.67600 Drinks motorcycle 18
## 137 0.04000 Meal scooter 17
## 138 78.41750 Snack motorcycle 28
## 139 77.70615 Buffet motorcycle 44
## 140 77.03649 Snack motorcycle 20
## 141 73.93510 Snack scooter 19
## 142 73.23480 Snack motorcycle 35
## 143 80.32811 Meal motorcycle 50
## 144 78.50965 Meal scooter 34
## 145 72.86929 Meal electric_scooter 17
## 146 72.83362 Snack scooter 23
## 147 76.97465 Buffet motorcycle 27
## 148 0.04000 Snack motorcycle 26
## 149 72.90266 Buffet scooter 35
## 150 0.04000 Drinks motorcycle 41
## 151 77.70049 Buffet motorcycle 23
## 152 77.10567 Snack motorcycle 30
## 153 0.02000 Buffet scooter 19
## 154 0.01000 Buffet scooter 27
## 155 76.69926 Snack motorcycle 28
## 156 77.09539 Drinks motorcycle 24
## 157 76.73307 Meal motorcycle 36
## 158 88.42488 Buffet motorcycle 28
## 159 77.09624 Drinks motorcycle 31
## 160 73.24892 Meal motorcycle 44
## 161 85.40535 Drinks scooter 15
## 162 73.85590 Buffet motorcycle 33
## 163 72.84412 Buffet motorcycle 30
## 164 75.94850 Snack scooter 22
## 165 0.07000 Snack motorcycle 43
## 166 78.46935 Meal motorcycle 48
## 167 80.33852 Drinks electric_scooter 19
## 168 76.40696 Snack motorcycle 21
## 169 73.24775 Drinks motorcycle 44
## 170 80.23190 Drinks scooter 26
## 171 76.69581 Buffet scooter 26
## 172 72.84471 Meal motorcycle 31
## 173 0.06000 Meal scooter 19
## 174 75.86301 Snack scooter 18
## 175 81.93019 Meal motorcycle 38
## 176 85.41545 Snack motorcycle 32
## 177 78.55037 Meal scooter 17
## 178 73.88897 Buffet scooter 11
## 179 76.66109 Buffet motorcycle 31
## 180 75.87314 Drinks motorcycle 43
## 181 76.72581 Meal motorcycle 25
## 182 72.89398 Snack motorcycle 22
## 183 76.68789 Drinks motorcycle 43
## 184 85.39425 Buffet motorcycle 42
## 185 75.96421 Meal motorcycle 42
## 186 80.30523 Drinks motorcycle 34
## 187 75.85733 Snack motorcycle 17
## 188 72.80867 Snack scooter 25
## 189 76.75581 Meal motorcycle 54
## 190 72.84263 Buffet motorcycle 21
## 191 78.36965 Buffet motorcycle 34
## 192 80.40563 Meal motorcycle 36
## 193 76.68586 Drinks motorcycle 17
## 194 75.79903 Meal motorcycle 16
## 195 80.28881 Meal electric_scooter 27
## 196 76.67058 Meal motorcycle 26
## 197 74.00537 Snack motorcycle 46
## 198 88.49319 Buffet motorcycle 29
## 199 77.75939 Snack motorcycle 23
## 200 72.87550 Snack scooter 11
## 201 75.99765 Snack motorcycle 28
## 202 73.95649 Meal motorcycle 25
## 203 85.33684 Snack motorcycle 11
## 204 75.85220 Meal scooter 26
## 205 76.67926 Meal motorcycle 23
## 206 75.83289 Snack motorcycle 39
## 207 77.00624 Snack motorcycle 11
## 208 73.23892 Drinks electric_scooter 32
## 209 77.68543 Snack motorcycle 43
## 210 76.70517 Buffet scooter 13
## 211 76.61665 Buffet electric_scooter 25
## 212 80.28067 Drinks motorcycle 27
## 213 78.43262 Drinks scooter 29
## 214 77.71368 Buffet motorcycle 33
## 215 80.30147 Drinks motorcycle 19
## 216 77.77049 Meal motorcycle 33
## 217 0.06000 Snack motorcycle 28
## 218 75.88230 Drinks electric_scooter 15
## 219 81.86974 Meal scooter 29
## 220 75.93728 Meal scooter 18
## 221 76.32063 Meal motorcycle 14
## 222 77.65413 Snack motorcycle 30
## 223 73.78361 Snack motorcycle 28
## 224 0.13000 Snack motorcycle 39
## 225 78.48262 Meal motorcycle 30
## 226 75.96733 Buffet motorcycle 36
## 227 75.94230 Snack motorcycle 37
## 228 75.89289 Meal motorcycle 43
## 229 73.28094 Buffet scooter 29
## 230 0.03000 Drinks scooter 25
## 231 77.65818 Buffet electric_scooter 15
## 232 0.07000 Snack scooter 24
## 233 72.93675 Snack motorcycle 39
## 234 78.48749 Buffet motorcycle 20
## 235 80.33356 Buffet motorcycle 15
## 236 75.42889 Drinks motorcycle 16
## 237 73.79590 Drinks scooter 19
## 238 77.67679 Drinks scooter 20
## 239 80.38563 Meal scooter 25
## 240 77.69429 Snack motorcycle 43
## 241 75.99670 Drinks motorcycle 15
## 242 77.03295 Buffet motorcycle 29
## 243 78.59211 Drinks motorcycle 14
## 244 78.10410 Buffet motorcycle 11
## 245 77.00174 Buffet motorcycle 19
## 246 0.08000 Drinks motorcycle 29
## 247 81.87559 Buffet motorcycle 11
## 248 72.83998 Snack motorcycle 14
## 249 75.41241 Snack motorcycle 15
## 250 72.90471 Meal motorcycle 16
## 251 73.94033 Buffet motorcycle 43
## 252 80.19457 Buffet motorcycle 20
## 253 78.40547 Drinks motorcycle 26
## 254 72.83867 Snack scooter 26
## 255 77.06567 Meal motorcycle 43
## 256 73.21892 Snack motorcycle 25
## 257 76.99295 Buffet motorcycle 28
## 258 75.98247 Buffet scooter 17
## 259 75.98340 Drinks motorcycle 44
## 260 72.92472 Buffet motorcycle 33
## 261 80.30722 Snack scooter 19
## 262 77.67063 Snack motorcycle 15
## 263 78.18704 Buffet scooter 27
## 264 80.34094 Meal scooter 25
## 265 73.19892 Drinks motorcycle 18
## 266 73.22779 Snack scooter 21
## 267 78.08161 Buffet motorcycle 53
## 268 76.41805 Drinks motorcycle 42
## 269 75.93962 Snack motorcycle 20
## 270 77.10553 Meal scooter 29
## 271 80.32811 Snack scooter 15
## 272 77.00174 Buffet motorcycle 30
## 273 72.90806 Snack motorcycle 28
## 274 75.91743 Drinks motorcycle 19
## 275 75.47078 Meal motorcycle 15
## 276 80.36074 Buffet motorcycle 50
## 277 77.62429 Buffet motorcycle 41
## 278 0.07000 Snack motorcycle 37
## 279 0.06000 Drinks scooter 28
## 280 78.11912 Meal scooter 35
## 281 77.71368 Buffet motorcycle 27
## 282 80.34415 Buffet motorcycle 43
## 283 75.85728 Meal scooter 12
## 284 78.07505 Meal scooter 31
## 285 0.13000 Drinks motorcycle 39
## 286 73.27779 Buffet motorcycle 47
## 287 72.83912 Buffet motorcycle 26
## 288 75.92284 Snack electric_scooter 31
## 289 75.94051 Snack motorcycle 42
## 290 73.86486 Meal scooter 12
## 291 77.01552 Snack scooter 25
## 292 78.13704 Drinks motorcycle 39
## 293 72.85873 Buffet scooter 21
## 294 75.82426 Meal electric_scooter 18
## 295 75.90075 Snack scooter 22
## 296 78.42442 Buffet motorcycle 23
## 297 76.73307 Drinks motorcycle 48
## 298 77.77666 Snack scooter 13
## 299 80.29524 Drinks motorcycle 32
## 300 76.75796 Snack electric_scooter 16
## 301 77.04539 Snack electric_scooter 19
## 302 77.63543 Drinks motorcycle 18
## 303 80.39780 Buffet motorcycle 27
## 304 72.89765 Drinks motorcycle 25
## 305 76.99330 Drinks scooter 31
## 306 85.43697 Drinks scooter 39
## 307 78.46339 Snack motorcycle 20
## 308 72.90998 Snack motorcycle 38
## 309 76.69517 Buffet motorcycle 19
## 310 0.03000 Drinks electric_scooter 17
## 311 73.17775 Buffet motorcycle 24
## 312 76.65058 Drinks scooter 26
## 313 78.43935 Meal motorcycle 28
## 314 73.98510 Snack scooter 16
## 315 0.03000 Buffet motorcycle 17
## 316 76.70362 Snack motorcycle 24
## 317 76.71262 Meal motorcycle 24
## 318 75.82051 Meal scooter 34
## 319 72.83765 Snack motorcycle 16
## 320 72.82148 Drinks motorcycle 26
## 321 76.01421 Drinks motorcycle 25
## 322 73.24028 Meal motorcycle 49
## 323 77.72049 Snack electric_scooter 24
## 324 0.02000 Meal scooter 32
## 325 72.84307 Buffet motorcycle 26
## 326 78.47674 Buffet scooter 24
## 327 78.53442 Drinks electric_scooter 16
## 328 75.96733 Drinks scooter 27
## 329 75.34340 Drinks motorcycle 25
## 330 80.29524 Drinks motorcycle 26
## 331 72.88781 Buffet scooter 25
## 332 0.03000 Meal motorcycle 26
## 333 75.81051 Meal scooter 15
## 334 77.63580 Buffet scooter 18
## 335 73.88055 Buffet motorcycle 30
## 336 80.32811 Drinks scooter 46
## 337 72.90049 Drinks motorcycle 24
## 338 73.95537 Drinks motorcycle 37
## 339 75.98257 Snack motorcycle 27
## 340 72.86998 Buffet scooter 27
## 341 75.94752 Meal electric_scooter 32
## 342 72.85471 Buffet electric_scooter 28
## 343 72.82867 Drinks motorcycle 29
## 344 75.81069 Snack motorcycle 27
## 345 76.67517 Snack motorcycle 11
## 346 78.56037 Buffet motorcycle 13
## 347 85.46290 Buffet scooter 27
## 348 80.30147 Snack scooter 25
## 349 77.74413 Drinks scooter 26
## 350 85.35684 Buffet motorcycle 27
## 351 73.94055 Snack scooter 26
## 352 75.97696 Meal electric_scooter 32
## 353 75.91311 Meal motorcycle 25
## 354 0.03000 Meal motorcycle 32
## 355 77.66601 Drinks scooter 42
## 356 76.69362 Drinks motorcycle 29
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