Phân tích dữ liệu định tính
Phạm Thị Ngọc
2023-06-17
library("DescTools")
library("epitools")
library("ggplot2")
data <- read.csv("D:/PTDLĐT/dulieu.csv")
str(data)## 'data.frame': 500 obs. of 8 variables:
## $ Age : int 45 49 51 40 40 44 51 32 37 48 ...
## $ Gender : chr "M" "F" "M" "F" ...
## $ Education_Level: chr "High School" "Graduate" "Graduate" "High School" ...
## $ Marital_Status : chr "Married" "Single" "Married" "Unknown" ...
## $ Income_Category: chr "$60K - $80K" "Less than $40K" "$80K - $120K" "Less than $40K" ...
## $ Credit_Limit : num 12691 8256 3418 3313 4716 ...
## $ Total_Trans_Amt: int 1144 1291 1887 1171 816 1088 1330 1538 1350 1441 ...
## $ Total_Trans_Ct : int 42 33 20 20 28 24 31 36 24 32 ...1 BÀI TẬP VỀ NHÀ TUẦN 5
Nhiệm vụ: Phân tích thống kê mô tả của 2 biến phụ thuộc ở câu 2 với 5 biến còn lại trong câu 3, nhận xét về kết quả phân tích này.
1.1 Thống kê mô tả cho 2 biến
1.2 Phân tích biến “Income_Category” và biến “Gender”
1.2.1 Bảng tần số - bảng tần suất
#Bảng tần số
a <- table(data$Income_Category,data$Gender)
a##
## F M
## $120K + 0 51
## $40K - $60K 37 51
## $60K - $80K 0 96
## $80K - $120K 0 105
## Less than $40K 118 9
## Unknown 31 2Dựa vào kết quả của bảng tần số, ta thấy chủ yếu nam giới có mức lương cao hơn nữ giới. Cụ thể, với mức lương là $120K + có 51 người nam giới nhưng không có nữ giới nào. Với mức lương là $80K - $120K có 105 người nam giới nhưng không có nữ giới. Với mức lương ít hơn $40K có 118 người nữ giới và 9 người nam giới.
#Bảng tần số biên
addmargins(a)##
## F M Sum
## $120K + 0 51 51
## $40K - $60K 37 51 88
## $60K - $80K 0 96 96
## $80K - $120K 0 105 105
## Less than $40K 118 9 127
## Unknown 31 2 33
## Sum 186 314 500#Bảng tần suất
a1 <- prop.table(a)
a1##
## F M
## $120K + 0.000 0.102
## $40K - $60K 0.074 0.102
## $60K - $80K 0.000 0.192
## $80K - $120K 0.000 0.210
## Less than $40K 0.236 0.018
## Unknown 0.062 0.004#Bảng tần suất biên
addmargins(a1)##
## F M Sum
## $120K + 0.000 0.102 0.102
## $40K - $60K 0.074 0.102 0.176
## $60K - $80K 0.000 0.192 0.192
## $80K - $120K 0.000 0.210 0.210
## Less than $40K 0.236 0.018 0.254
## Unknown 0.062 0.004 0.066
## Sum 0.372 0.628 1.0001.2.2 Đồ thị cột
ggplot(data, aes(Income_Category, fill = Gender)) + geom_bar(position = 'dodge')
### Rủi ro tương đối
riskratio(a)## Warning in chisq.test(xx, correct = correction): Chi-squared approximation may
## be incorrect
## Warning in chisq.test(xx, correct = correction): Chi-squared approximation may
## be incorrect## $data
##
## F M Total
## $120K + 0 51 51
## $40K - $60K 37 51 88
## $60K - $80K 0 96 96
## $80K - $120K 0 105 105
## Less than $40K 118 9 127
## Unknown 31 2 33
## Total 186 314 500
##
## $measure
## risk ratio with 95% C.I.
## estimate lower upper
## $120K + 1.00000000 NA NA
## $40K - $60K 0.57954545 0.48506555 0.6924279
## $60K - $80K 1.00000000 1.00000000 1.0000000
## $80K - $120K 1.00000000 1.00000000 1.0000000
## Less than $40K 0.07086614 0.03775228 0.1330253
## Unknown 0.06060606 0.01581794 0.2322107
##
## $p.value
## two-sided
## midp.exact fisher.exact chi.square
## $120K + NA NA NA
## $40K - $60K 1.195643e-09 1.301692e-09 6.455582e-08
## $60K - $80K 1.000000e+00 1.000000e+00 NaN
## $80K - $120K 1.000000e+00 1.000000e+00 NaN
## Less than $40K 0.000000e+00 1.107940e-35 1.989897e-32
## Unknown 0.000000e+00 5.600103e-21 2.936941e-18
##
## $correction
## [1] FALSE
##
## attr(,"method")
## [1] "Unconditional MLE & normal approximation (Wald) CI"1.2.3 Kiểm định sự độc lập
Giả thuyết H0: Giới tính và mức thu nhập độc lập.
chisq.test(a)##
## Pearson's Chi-squared test
##
## data: a
## X-squared = 364.37, df = 5, p-value < 2.2e-16Qua kết quả kiểm định cho ta thấy giữa giới tính và mức thu nhập của khách hàng là độc lập với nhau.
1.3 Phân tích biến “Education_Level” và biến “Gender”
1.3.1 Bảng tần số - bảng tần suất
#Bảng tần số
b <- table(data$Education_Level,data$Gender)
b##
## F M
## College 16 26
## Doctorate 6 12
## Graduate 63 98
## High School 33 72
## Post-Graduate 12 14
## Uneducated 36 49
## Unknown 20 43#Bảng tần số biên
addmargins(b)##
## F M Sum
## College 16 26 42
## Doctorate 6 12 18
## Graduate 63 98 161
## High School 33 72 105
## Post-Graduate 12 14 26
## Uneducated 36 49 85
## Unknown 20 43 63
## Sum 186 314 500#Bảng tần suất
b1 <- prop.table(b)
b1##
## F M
## College 0.032 0.052
## Doctorate 0.012 0.024
## Graduate 0.126 0.196
## High School 0.066 0.144
## Post-Graduate 0.024 0.028
## Uneducated 0.072 0.098
## Unknown 0.040 0.086#Bảng tần suất biên
addmargins(b1)##
## F M Sum
## College 0.032 0.052 0.084
## Doctorate 0.012 0.024 0.036
## Graduate 0.126 0.196 0.322
## High School 0.066 0.144 0.210
## Post-Graduate 0.024 0.028 0.052
## Uneducated 0.072 0.098 0.170
## Unknown 0.040 0.086 0.126
## Sum 0.372 0.628 1.0001.3.2 Đồ thị cột
ggplot(data, aes(Education_Level, fill = Gender)) + geom_bar(position = 'dodge')
### Rủi ro tương đối - Tỷ lệ chênh
#rủi ro tương đối
riskratio(b)## $data
##
## F M Total
## College 16 26 42
## Doctorate 6 12 18
## Graduate 63 98 161
## High School 33 72 105
## Post-Graduate 12 14 26
## Uneducated 36 49 85
## Unknown 20 43 63
## Total 186 314 500
##
## $measure
## risk ratio with 95% C.I.
## estimate lower upper
## College 1.0000000 NA NA
## Doctorate 1.0769231 0.7192005 1.612573
## Graduate 0.9832776 0.7523980 1.285004
## High School 1.1076923 0.8453496 1.451450
## Post-Graduate 0.8698225 0.5671308 1.334068
## Uneducated 0.9312217 0.6904551 1.255945
## Unknown 1.1025641 0.8242338 1.474882
##
## $p.value
## two-sided
## midp.exact fisher.exact chi.square
## College NA NA NA
## Doctorate 0.7436876 0.7781483 0.7257660
## Graduate 0.9099231 1.0000000 0.9024700
## High School 0.4450273 0.4453761 0.4385780
## Post-Graduate 0.5241416 0.6141917 0.5117143
## Uneducated 0.6546298 0.7038532 0.6461838
## Unknown 0.5099539 0.5343141 0.5019147
##
## $correction
## [1] FALSE
##
## attr(,"method")
## [1] "Unconditional MLE & normal approximation (Wald) CI"#tỷ lệ chênh
oddsratio(b)## $data
##
## F M Total
## College 16 26 42
## Doctorate 6 12 18
## Graduate 63 98 161
## High School 33 72 105
## Post-Graduate 12 14 26
## Uneducated 36 49 85
## Unknown 20 43 63
## Total 186 314 500
##
## $measure
## odds ratio with 95% C.I.
## estimate lower upper
## College 1.0000000 NA NA
## Doctorate 1.2167130 0.3824559 4.182003
## Graduate 0.9602590 0.4677680 1.924029
## High School 1.3424543 0.6254373 2.835052
## Post-Graduate 0.7217307 0.2629195 1.976664
## Uneducated 0.8406516 0.3871976 1.790945
## Unknown 1.3200977 0.5752723 3.017080
##
## $p.value
## two-sided
## midp.exact fisher.exact chi.square
## College NA NA NA
## Doctorate 0.7436876 0.7781483 0.7257660
## Graduate 0.9099231 1.0000000 0.9024700
## High School 0.4450273 0.4453761 0.4385780
## Post-Graduate 0.5241416 0.6141917 0.5117143
## Uneducated 0.6546298 0.7038532 0.6461838
## Unknown 0.5099539 0.5343141 0.5019147
##
## $correction
## [1] FALSE
##
## attr(,"method")
## [1] "median-unbiased estimate & mid-p exact CI"1.3.3 Kiểm định sự độc lập
Giả thuyết H0: Giới tính và trình độ học vấn độc lập.
chisq.test(b)##
## Pearson's Chi-squared test
##
## data: b
## X-squared = 4.5441, df = 6, p-value = 0.6035Kết quả này cho chúng ta thấy rằng: Chưa đủ chứng cứ/thông tin/cơ sở để nói rằng trình độ học vấn có liên quan tới giới tính của khách hàng.
1.4 Phân tích biến “Marital_Status” và biến “Gender”
1.4.1 Bảng tần số - bảng tần suất
#Bảng tần số
c <- table(data$Marital_Status,data$Gender)
c##
## F M
## Divorced 19 18
## Married 106 174
## Single 55 95
## Unknown 6 27#Bảng tần số biên
addmargins(c)##
## F M Sum
## Divorced 19 18 37
## Married 106 174 280
## Single 55 95 150
## Unknown 6 27 33
## Sum 186 314 500#Bảng tần suất
c1 <- prop.table(c)
c1##
## F M
## Divorced 0.038 0.036
## Married 0.212 0.348
## Single 0.110 0.190
## Unknown 0.012 0.054#Bảng tần suất biên
addmargins(c1)##
## F M Sum
## Divorced 0.038 0.036 0.074
## Married 0.212 0.348 0.560
## Single 0.110 0.190 0.300
## Unknown 0.012 0.054 0.066
## Sum 0.372 0.628 1.0001.4.2 Đồ thị cột
ggplot(data, aes(Marital_Status, fill = Gender)) + geom_bar(position = 'dodge')
### Rủi ro tương đối - Tỷ lệ chênh
#rủi ro tương đối
riskratio(c)## $data
##
## F M Total
## Divorced 19 18 37
## Married 106 174 280
## Single 55 95 150
## Unknown 6 27 33
## Total 186 314 500
##
## $measure
## risk ratio with 95% C.I.
## estimate lower upper
## Divorced 1.000000 NA NA
## Married 1.277381 0.9060822 1.800832
## Single 1.301852 0.9148992 1.852464
## Unknown 1.681818 1.1639590 2.430079
##
## $p.value
## two-sided
## midp.exact fisher.exact chi.square
## Divorced NA NA NA
## Married 0.122373849 0.151404812 0.114445183
## Single 0.109612166 0.132820097 0.101844681
## Unknown 0.004381528 0.005698212 0.003838404
##
## $correction
## [1] FALSE
##
## attr(,"method")
## [1] "Unconditional MLE & normal approximation (Wald) CI"#tỷ lệ chênh
oddsratio(c)## $data
##
## F M Total
## Divorced 19 18 37
## Married 106 174 280
## Single 55 95 150
## Unknown 6 27 33
## Total 186 314 500
##
## $measure
## odds ratio with 95% C.I.
## estimate lower upper
## Divorced 1.000000 NA NA
## Married 1.728755 0.8620686 3.480610
## Single 1.816031 0.8736095 3.794379
## Unknown 4.579311 1.5835377 14.949786
##
## $p.value
## two-sided
## midp.exact fisher.exact chi.square
## Divorced NA NA NA
## Married 0.122373849 0.151404812 0.114445183
## Single 0.109612166 0.132820097 0.101844681
## Unknown 0.004381528 0.005698212 0.003838404
##
## $correction
## [1] FALSE
##
## attr(,"method")
## [1] "median-unbiased estimate & mid-p exact CI"1.4.3 Kiểm định sự độc lập
Giả thuyết H0: Giới tính và tình trạng hôn nhân độc lập.
chisq.test(c)##
## Pearson's Chi-squared test
##
## data: c
## X-squared = 8.3509, df = 3, p-value = 0.03929Qua kết quả kiểm định cho ta thấy giữa giới tính và tình trạng hôn nhân của khách hàng là độc lập với nhau.
2 BÀI TẬP VỀ NHÀ TUẦN 3,4
Nhiệm vụ: Làm thống kê mô tả để phân tích cho ít nhất 5 biến (vừa định tính định lượng và có 2 biến đã chọn ở câu 2), nhận xét về kết quả phân tích này.
2.1 Thống kê mô tả biến “Age”
library(ggplot2)
summary(data$Age)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 32.00 44.00 49.00 49.63 54.00 73.00Dựa vào kết quả thống kê mô tả, ta thấy khách hàng sử dụng thẻ tín dụng tiêu dùng có độ tuổi từ 32 tuổi đến 73 tuổi, trung bình (mean) là 49,63 tuổi. 1st Qu. (first quartile) = 44 có nghĩa là 25% đối tượng nghiên cứu có độ tuổi bằng hoặc nhỏ hơn 44 tuổi. Tương tự, 3rd Qu.(Third quartile) = 54 có nghĩa là 75% đối tượng có độ tuổi bằng hoặc thấp hơn 54 tuổi. Số trung vị (median) 49 cũng có nghĩa là 50% đối tượng có độ tuổi 49 trở xuống (hay 49 tuổi trở lên).
table(cut(data$Age,4))##
## (32,42.2] (42.2,52.5] (52.5,62.8] (62.8,73]
## 80 237 160 23table(cut(data$Age,4))/sum(table(data$Age))##
## (32,42.2] (42.2,52.5] (52.5,62.8] (62.8,73]
## 0.160 0.474 0.320 0.046data |> ggplot(aes(Age)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'pink')## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
2.2 Thống kê mô tả biến “Gender”
table(data$Gender)##
## F M
## 186 314table(data$Gender)/sum(table(data$Gender))##
## F M
## 0.372 0.628Theo kết quả phân tích ta thấy % khách hàng sử dụng thẻ tín dụng tiêu dùng cao nhất thuộc vào nhóm khách hàng Nam chiếm 62,8%, khách hàng nữ chiếm 37,2%.
data |> ggplot(aes(Gender)) +
geom_bar(aes(y = (..count..)/sum(..count..))) +
ylab('Tỷ lệ %') + xlab('Giới tính')
2.3 Thống kê mô tả biến “Education_Level”
table(data$Education_Level)##
## College Doctorate Graduate High School Post-Graduate
## 42 18 161 105 26
## Uneducated Unknown
## 85 63table(data$Education_Level)/sum(table(data$Education_Level))##
## College Doctorate Graduate High School Post-Graduate
## 0.084 0.036 0.322 0.210 0.052
## Uneducated Unknown
## 0.170 0.126Theo kết quả phân tích ta thấy % khách hàng sử dụng thẻ tín dụng tiêu dùng có trình độ học vấn như sau:
Khách hàng tốt nghiệp trung học phổ thông (High School) chiếm 21%
Khách hàng tốt nghiệp đại học (Graduate) chiếm 32,2%
Khách hàng tốt nghiệp Tiến sĩ (Doctorate) chiếm 3,6%
Khách hàng tốt nghiệp Cao học (Post-Graduate) chiếm 5,2%
Khách hàng tốt nghiệp Cao đẳng (College) chiếm 8,4%
Khách hàng không đi học (Uneducated) chiếm 17%
Khách hàng không xác định (Unknown) chiếm 12,6%
data |> ggplot(aes(x = Education_Level , y = after_stat(count))) + geom_bar(fill = 'green') + geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', color = 'black', vjust = - .5) + theme_classic() + labs(x = 'Trình độ học vấn', y = 'Số người')
2.4 Thống kê mô tả biến “Marital_Status”
table(data$Marital_Status)##
## Divorced Married Single Unknown
## 37 280 150 33table(data$Marital_Status)/sum(table(data$Marital_Status))##
## Divorced Married Single Unknown
## 0.074 0.560 0.300 0.066Theo kết quả phân tích ta thấy % khách hàng sử dụng thẻ tín dụng tiêu dùng có tình trạng hôn nhân như sau:
Khách hàng đã ly hôn (Divorced) chiếm 7,4%
Khách hàng đã kết hôn (Married) chiếm 56%
Khách hàng đang độc thân (Single) chiếm 30%
Khách hàng không rõ tình trạng hôn nhân (Unknown) chiếm 6,6%
data |> ggplot(aes(x = Marital_Status , y = after_stat(count))) + geom_bar(fill = 'green') + geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', color = 'black', vjust = - .5) + theme_classic() + labs(x = 'Tình trạng hôn nhân', y = 'Số người')
2.5 Thống kê mô tả biến “Income_Category”
table(data$Income_Category)##
## $120K + $40K - $60K $60K - $80K $80K - $120K Less than $40K
## 51 88 96 105 127
## Unknown
## 33table(data$Income_Category)/sum(table(data$Income_Category))##
## $120K + $40K - $60K $60K - $80K $80K - $120K Less than $40K
## 0.102 0.176 0.192 0.210 0.254
## Unknown
## 0.066Theo kết quả phân tích ta thấy % khách hàng sử dụng thẻ tín dụng tiêu dùng có mức thu nhập như sau như sau:
Khách hàng có mức lương $120K + chiếm 10,2%
Khách hàng có mức lương $40K - $60K chiếm 17,6%
Khách hàng có mức lương $60K - $80K chiếm 19,2%
Khách hàng có mức lương $80K - $120K chiếm 21%
Khách hàng có mức lương ít hơn $40K chiếm 25,4%
Khách hàng không rõ mức lương (Unknown) chiếm 6,6%
data |> ggplot(aes(x = Income_Category , y = after_stat(count))) + geom_bar(fill = 'green') + geom_text(aes(label = scales::percent(after_stat(count/sum(count)))), stat = 'count', color = 'black', vjust = - .5) + theme_classic() + labs(x = 'Mức lương của khách hàng', y = 'Số người')
2.6 Thống kê mô tả biến “Credit_Limit”
summary(data$Credit_Limit)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1438 2958 6276 10555 14888 34516Dựa vào kết quả thống kê mô tả, ta thấy Hạn mức tín dụng của khách hàng từ $1438 đến $34516, trung bình (mean) là $10555. 1st Qu. (first quartile) = $2958 có nghĩa là 25% đối tượng nghiên cứu có hạn mức bằng hoặc nhỏ hơn $2958. Tương tự, 3rd Qu.(Third quartile) = $14888 có nghĩa là 75% đối tượng có hạn mức bằng hoặc thấp hơn $14888. Số trung vị (median) $6276 cũng có nghĩa là 50% đối tượng có hạn mức $6276 trở xuống (hay $6276 trở lên).
table(cut(data$Credit_Limit,4))##
## (1.41e+03,9.71e+03] (9.71e+03,1.8e+04] (1.8e+04,2.62e+04] (2.62e+04,3.45e+04]
## 307 89 51 53table(cut(data$Credit_Limit,4))/sum(table(data$Credit_Limit))##
## (1.41e+03,9.71e+03] (9.71e+03,1.8e+04] (1.8e+04,2.62e+04] (2.62e+04,3.45e+04]
## 0.614 0.178 0.102 0.106hist(data$Credit_Limit)
2.7 Thống kê mô tả biến “Total_Trans_Amt”
summary(data$Total_Trans_Amt)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 510 1152 1336 1361 1562 3178Dựa vào kết quả thống kê mô tả, ta thấy số tiền giao dịch của khách hàng từ $510 đến $3178, trung bình (mean) là $1361. 1st Qu. (first quartile) = $1152 có nghĩa là 25% đối tượng nghiên cứu có số tiền giao dịch bằng hoặc nhỏ hơn $1152. Tương tự, 3rd Qu.(Third quartile) = $1562 có nghĩa là 75% đối tượng có số tiền giao dịch bằng hoặc thấp hơn $1562. Số trung vị (median) $1336 cũng có nghĩa là 50% đối tượng có số tiền giao dịch $6276 trở xuống (hay $1336 trở lên).
table(cut(data$Total_Trans_Amt,4))##
## (507,1.18e+03] (1.18e+03,1.84e+03] (1.84e+03,2.51e+03] (2.51e+03,3.18e+03]
## 140 322 34 4table(cut(data$Total_Trans_Amt,4))/sum(table(data$Total_Trans_Amt))##
## (507,1.18e+03] (1.18e+03,1.84e+03] (1.84e+03,2.51e+03] (2.51e+03,3.18e+03]
## 0.280 0.644 0.068 0.008hist(data$Total_Trans_Amt)
2.8 Thống kê mô tả biến “Total_Trans_Ct”
summary(data$Total_Trans_Ct)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 10.00 24.00 29.00 30.13 36.00 60.00Dựa vào kết quả thống kê mô tả, ta thấy số lần giao dịch của khách hàng từ 10 lần đến 60 lần, trung bình (mean) là 30.13 lần. 1st Qu. (first quartile) = 24 lần có nghĩa là 25% đối tượng nghiên cứu có số lần giao dịch bằng hoặc nhỏ hơn $2958. Tương tự, 3rd Qu.(Third quartile) = 36 lần có nghĩa là 75% đối tượng có số lần giao dịch bằng hoặc thấp hơn 36 lần. Số trung vị (median) 29 lần cũng có nghĩa là 50% đối tượng có số lần giao dịch 29 lần trở xuống (hay 29 lần trở lên).
table(cut(data$Total_Trans_Ct,4))##
## (9.95,22.5] (22.5,35] (35,47.5] (47.5,60]
## 98 276 103 23table(cut(data$Total_Trans_Ct,4))/sum(table(data$Total_Trans_Ct))##
## (9.95,22.5] (22.5,35] (35,47.5] (47.5,60]
## 0.196 0.552 0.206 0.046data |> ggplot(aes(Total_Trans_Ct)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'pink')
3 BÀI TẬP VỀ NHÀ TUẦN 2
Nhiệm vụ: Chọn 1 hoặc 2 biến định tính và 1 biến định lượng làm biến phụ thuộc để phân tích, giải thích lý do.
3.1 Biến định tính: Gender
Gender là giới tính của khách hàng. Giới tính cũng bị ảnh hưởng bởi nhiều yếu tố như:Trình độ học vấn, vị trí công việc, giới tính,…. Lí do em chọn biến Gender làm biến phụ thuộc vì em muốn biết trong bộ dữ liệu này, giới tính của các khách hàng có bị ảnh hưởng bởi các biến khác hay không.
3.2 Biến định lượng: Credit_Limit
Hạn mức tín dụng (credit limit) là số tiền tối đa mà một ngân hàng, tổ chức tín dụng hoặc nhà cung cấp dịch vụ tài chính cho phép bạn mượn hoặc sử dụng trên thẻ tín dụng, thẻ ghi nợ hoặc tài khoản tín dụng. Đây là giới hạn tài chính được đặt ra để giới hạn số tiền bạn có thể vay hoặc sử dụng từ nguồn tín dụng. Lí do em chọn biến Credit_Limit làm biến phụ thuộc vì em muốn biết trong bộ dữ liệu này, Hạn mức tín dụng của các khách hàng có bị ảnh hưởng bởi các biến khác hay không.
4 BÀI TẬP VỀ NHÀ TUẦN 1
Nhiệm vụ: Tìm một dataset có dữ liệu định tính, dữ liệu định lượng, có trên 5 biến và nhiều hơn 300 quan sát.
4.1 Mô tả
Dữ liệu này là thông tin khách hàng được thu thập từ trong danh mục thẻ tín dụng tiêu dùng của ngân hàng. Dữ liệu nghiên cứu gồm 500 quan sát với 8 biến.
4.2 Giải thích các biến
4.2.1 Các biến định tính
Gender: Giới tính của khách hàng
Education_Level: Trình độ học vấn của khách hàng
Marital_Status: Tình trạng hôn nhân của khách hàng
Income_Category: Mức thu nhập của khách hàng
4.2.2 Các biến định lượng
Age: Tuổi của khách hàng
Credit_Limit: Hạn mức tín dụng của khách hàng
Total_Trans_Amt: Tổng số tiền giao dịch
Total_Trans_Ct: Tổng số lần giao dịch.
data <- read.csv("D:/PTDLĐT/dulieu.csv")
str(data)## 'data.frame': 500 obs. of 8 variables:
## $ Age : int 45 49 51 40 40 44 51 32 37 48 ...
## $ Gender : chr "M" "F" "M" "F" ...
## $ Education_Level: chr "High School" "Graduate" "Graduate" "High School" ...
## $ Marital_Status : chr "Married" "Single" "Married" "Unknown" ...
## $ Income_Category: chr "$60K - $80K" "Less than $40K" "$80K - $120K" "Less than $40K" ...
## $ Credit_Limit : num 12691 8256 3418 3313 4716 ...
## $ Total_Trans_Amt: int 1144 1291 1887 1171 816 1088 1330 1538 1350 1441 ...
## $ Total_Trans_Ct : int 42 33 20 20 28 24 31 36 24 32 ...summary(data)## Age Gender Education_Level Marital_Status
## Min. :32.00 Length:500 Length:500 Length:500
## 1st Qu.:44.00 Class :character Class :character Class :character
## Median :49.00 Mode :character Mode :character Mode :character
## Mean :49.63
## 3rd Qu.:54.00
## Max. :73.00
## Income_Category Credit_Limit Total_Trans_Amt Total_Trans_Ct
## Length:500 Min. : 1438 Min. : 510 Min. :10.00
## Class :character 1st Qu.: 2958 1st Qu.:1152 1st Qu.:24.00
## Mode :character Median : 6276 Median :1336 Median :29.00
## Mean :10555 Mean :1361 Mean :30.13
## 3rd Qu.:14888 3rd Qu.:1562 3rd Qu.:36.00
## Max. :34516 Max. :3178 Max. :60.00data## Age Gender Education_Level Marital_Status Income_Category Credit_Limit
## 1 45 M High School Married $60K - $80K 12691.0
## 2 49 F Graduate Single Less than $40K 8256.0
## 3 51 M Graduate Married $80K - $120K 3418.0
## 4 40 F High School Unknown Less than $40K 3313.0
## 5 40 M Uneducated Married $60K - $80K 4716.0
## 6 44 M Graduate Married $40K - $60K 4010.0
## 7 51 M Unknown Married $120K + 34516.0
## 8 32 M High School Unknown $60K - $80K 29081.0
## 9 37 M Uneducated Single $60K - $80K 22352.0
## 10 48 M Graduate Single $80K - $120K 11656.0
## 11 42 M Uneducated Unknown $120K + 6748.0
## 12 65 M Unknown Married $40K - $60K 9095.0
## 13 56 M College Single $80K - $120K 11751.0
## 14 35 M Graduate Unknown $60K - $80K 8547.0
## 15 57 F Graduate Married Less than $40K 2436.0
## 16 44 M Unknown Unknown $80K - $120K 4234.0
## 17 48 M Post-Graduate Single $80K - $120K 30367.0
## 18 41 M Unknown Married $80K - $120K 13535.0
## 19 61 M High School Married $40K - $60K 3193.0
## 20 45 F Graduate Married Unknown 14470.0
## 21 47 M Doctorate Divorced $60K - $80K 20979.0
## 22 62 F Graduate Married Less than $40K 1438.3
## 23 41 M High School Married $40K - $60K 4470.0
## 24 47 F Unknown Single Less than $40K 2492.0
## 25 54 M Unknown Married $80K - $120K 12217.0
## 26 41 F Graduate Single Less than $40K 7768.0
## 27 59 M High School Unknown $40K - $60K 14784.0
## 28 63 M Unknown Married $60K - $80K 10215.0
## 29 44 F Uneducated Single Unknown 10100.0
## 30 47 M High School Married $40K - $60K 4785.0
## 31 53 M Unknown Married $80K - $120K 2753.0
## 32 53 M Uneducated Married $60K - $80K 2451.0
## 33 41 M Graduate Married $60K - $80K 8923.0
## 34 53 F College Married Less than $40K 2650.0
## 35 58 M Graduate Married $80K - $120K 12555.0
## 36 55 F College Single Less than $40K 3520.0
## 37 55 F Graduate Married Less than $40K 3035.0
## 38 42 F High School Married Less than $40K 15433.0
## 39 57 F Graduate Unknown $40K - $60K 3672.0
## 40 66 F Doctorate Married Unknown 7882.0
## 41 45 M Graduate Single $80K - $120K 32426.0
## 42 51 M Unknown Married $40K - $60K 6205.0
## 43 50 F College Single $40K - $60K 17304.0
## 44 49 M High School Married $60K - $80K 3906.0
## 45 38 F Graduate Single Unknown 9830.0
## 46 49 M Uneducated Single $80K - $120K 34516.0
## 47 56 M Doctorate Married $60K - $80K 2283.0
## 48 59 M Doctorate Married $40K - $60K 2548.0
## 49 46 M High School Married $80K - $120K 19458.0
## 50 52 M College Single $80K - $120K 4745.0
## 51 52 F Unknown Married Less than $40K 2622.0
## 52 54 F Graduate Married Less than $40K 1438.3
## 53 66 F High School Married Less than $40K 3171.0
## 54 49 M Unknown Married $120K + 19763.0
## 55 56 M Graduate Married $120K + 15769.0
## 56 49 F Graduate Unknown Less than $40K 3298.0
## 57 49 F Graduate Single Less than $40K 2802.0
## 58 56 M Uneducated Married $40K - $60K 4458.0
## 59 44 F Graduate Married Unknown 6273.0
## 60 42 M High School Single $60K - $80K 3336.0
## 61 55 M Unknown Married $80K - $120K 3436.0
## 62 48 M Graduate Married $60K - $80K 34516.0
## 63 39 M High School Divorced $60K - $80K 5926.0
## 64 44 M Post-Graduate Single $120K + 23957.0
## 65 53 M High School Single $120K + 14734.0
## 66 51 M Uneducated Single $80K - $120K 34516.0
## 67 57 M College Married $60K - $80K 6584.0
## 68 44 F Uneducated Single Less than $40K 2084.0
## 69 49 M Graduate Married $60K - $80K 1687.0
## 70 50 M Doctorate Married $80K - $120K 25300.0
## 71 51 M Graduate Single $120K + 34516.0
## 72 55 F Graduate Married Less than $40K 2216.0
## 73 54 M Graduate Unknown $60K - $80K 2910.0
## 74 42 M Uneducated Married $80K - $120K 22913.0
## 75 44 M College Single $60K - $80K 24312.0
## 76 53 M Graduate Single $80K - $120K 5272.0
## 77 44 F Graduate Single Less than $40K 7000.0
## 78 37 F Uneducated Single Less than $40K 7038.0
## 79 49 M Graduate Divorced $60K - $80K 2536.0
## 80 47 M Graduate Married $80K - $120K 28904.0
## 81 47 M Graduate Married $60K - $80K 8567.0
## 82 44 M Unknown Unknown $120K + 34516.0
## 83 55 F Unknown Married $40K - $60K 2158.0
## 84 59 F Graduate Married Unknown 10133.0
## 85 53 M Graduate Divorced $80K - $120K 34516.0
## 86 52 M Graduate Married $60K - $80K 3085.0
## 87 53 M High School Single $120K + 19040.0
## 88 43 F Uneducated Single Less than $40K 4026.0
## 89 44 M High School Single $60K - $80K 12756.0
## 90 57 M Unknown Married $120K + 5266.0
## 91 51 F High School Single Less than $40K 9930.0
## 92 49 M High School Single $80K - $120K 31302.0
## 93 45 M Graduate Single $40K - $60K 6576.0
## 94 53 M Graduate Single $80K - $120K 2664.0
## 95 45 F Unknown Married Unknown 2535.0
## 96 64 M Graduate Married Less than $40K 1709.0
## 97 45 M Graduate Married $40K - $60K 3454.0
## 98 53 M Doctorate Married $40K - $60K 3789.0
## 99 56 M College Married $120K + 9689.0
## 100 47 M Unknown Married $80K - $120K 5449.0
## 101 49 F College Single Unknown 23032.0
## 102 41 F Unknown Married Unknown 34516.0
## 103 53 M Graduate Married $120K + 2940.0
## 104 44 F Graduate Single Less than $40K 3031.0
## 105 44 M High School Unknown $60K - $80K 1862.0
## 106 43 F Post-Graduate Married Less than $40K 8358.0
## 107 53 M Post-Graduate Single $120K + 34516.0
## 108 44 M Uneducated Married $60K - $80K 14450.0
## 109 62 F Unknown Married Less than $40K 1438.3
## 110 54 M Unknown Divorced $120K + 33791.0
## 111 57 M Graduate Married $60K - $80K 8466.0
## 112 42 M Unknown Married $60K - $80K 15088.0
## 113 42 M High School Divorced $60K - $80K 3263.0
## 114 54 F Uneducated Married Less than $40K 1494.0
## 115 48 M Graduate Single $80K - $120K 13551.0
## 116 49 M Graduate Single $80K - $120K 18886.0
## 117 52 M High School Unknown $80K - $120K 11976.0
## 118 50 M High School Single $80K - $120K 9964.0
## 119 49 M Doctorate Married $60K - $80K 24159.0
## 120 53 F High School Married Less than $40K 5362.0
## 121 50 M Graduate Single $120K + 34516.0
## 122 55 F Doctorate Married Less than $40K 3174.0
## 123 53 M High School Married $80K - $120K 12262.0
## 124 47 F High School Single $40K - $60K 3788.0
## 125 55 M College Single $120K + 34516.0
## 126 47 M Graduate Single $60K - $80K 2926.0
## 127 58 M Graduate Single $120K + 32090.0
## 128 53 M Graduate Married $80K - $120K 11669.0
## 129 52 M High School Single $40K - $60K 13532.0
## 130 50 F Uneducated Unknown Less than $40K 11888.0
## 131 42 F Graduate Married Less than $40K 2393.0
## 132 43 M Unknown Married $40K - $60K 6111.0
## 133 57 M Graduate Married $80K - $120K 19270.0
## 134 52 M Graduate Married $80K - $120K 3710.0
## 135 47 M Doctorate Single Less than $40K 3235.0
## 136 44 F Graduate Single $40K - $60K 11749.0
## 137 53 M High School Divorced $60K - $80K 7753.0
## 138 45 M College Divorced $60K - $80K 10408.0
## 139 63 F College Married Unknown 3967.0
## 140 39 F Post-Graduate Single Less than $40K 6205.0
## 141 48 F High School Married Less than $40K 8025.0
## 142 51 M Unknown Single $120K + 9036.0
## 143 54 M Graduate Married $80K - $120K 14926.0
## 144 59 F Graduate Single Less than $40K 6335.0
## 145 59 M College Single $60K - $80K 14979.0
## 146 48 F Uneducated Married Less than $40K 2732.0
## 147 41 F Graduate Single Less than $40K 2250.0
## 148 55 M Graduate Married $120K + 10916.0
## 149 47 F Graduate Married Unknown 5349.0
## 150 41 M High School Married $80K - $120K 9366.0
## 151 40 M High School Single $80K - $120K 21617.0
## 152 68 M Graduate Married Unknown 13860.0
## 153 50 F Graduate Single $40K - $60K 18386.0
## 154 47 M Uneducated Single $60K - $80K 2405.0
## 155 53 F College Married Less than $40K 2154.0
## 156 42 F Unknown Married $40K - $60K 2038.0
## 157 48 F High School Single $40K - $60K 8135.0
## 158 49 M Doctorate Married $120K + 9364.0
## 159 44 F Uneducated Married Unknown 32643.0
## 160 43 F Graduate Divorced Less than $40K 3195.0
## 161 56 M High School Married $80K - $120K 2852.0
## 162 59 F College Single Unknown 4224.0
## 163 46 M Uneducated Married $60K - $80K 20459.0
## 164 47 F Unknown Divorced Less than $40K 3482.0
## 165 50 F Uneducated Married $40K - $60K 3065.0
## 166 51 F Uneducated Married Less than $40K 2185.0
## 167 47 F Uneducated Married Less than $40K 1611.0
## 168 58 F Uneducated Married Less than $40K 2822.0
## 169 46 M Graduate Single $80K - $120K 32975.0
## 170 53 M High School Married $60K - $80K 1438.3
## 171 45 F Uneducated Divorced Unknown 15875.0
## 172 52 F High School Married Less than $40K 6703.0
## 173 53 M Unknown Married $80K - $120K 3212.0
## 174 50 M High School Married $80K - $120K 34516.0
## 175 41 F High School Married $40K - $60K 9797.0
## 176 45 F Graduate Divorced $40K - $60K 10400.0
## 177 53 M Uneducated Married $80K - $120K 26792.0
## 178 67 F Graduate Married Less than $40K 3006.0
## 179 57 F Uneducated Single $40K - $60K 19482.0
## 180 59 F Uneducated Married $40K - $60K 3356.0
## 181 45 M Uneducated Married $40K - $60K 5771.0
## 182 51 M Graduate Married $80K - $120K 11106.0
## 183 59 F Uneducated Married Less than $40K 2890.0
## 184 53 M Graduate Married $60K - $80K 3380.0
## 185 47 M Graduate Married $60K - $80K 21331.0
## 186 49 F Uneducated Single Unknown 12860.0
## 187 49 M Post-Graduate Single $80K - $120K 6278.0
## 188 60 F College Single Less than $40K 1438.3
## 189 50 F High School Married Less than $40K 9355.0
## 190 41 F Post-Graduate Married Unknown 20758.0
## 191 57 M Graduate Married $80K - $120K 14612.0
## 192 43 M Graduate Unknown $80K - $120K 27259.0
## 193 57 F Graduate Married Less than $40K 6347.0
## 194 54 M Doctorate Married $120K + 21592.0
## 195 51 F Post-Graduate Married Less than $40K 3449.0
## 196 47 F High School Married Less than $40K 6028.0
## 197 41 M High School Unknown $120K + 18214.0
## 198 53 M Uneducated Married $80K - $120K 16393.0
## 199 68 M High School Married Less than $40K 1438.3
## 200 59 M College Married $60K - $80K 7871.0
## 201 48 M Unknown Married $80K - $120K 5288.0
## 202 44 M Graduate Married $60K - $80K 11376.0
## 203 48 M College Married $80K - $120K 12302.0
## 204 47 M Graduate Married $60K - $80K 34516.0
## 205 47 M Graduate Married $60K - $80K 34516.0
## 206 43 F High School Divorced Less than $40K 10514.0
## 207 55 F Graduate Married Less than $40K 1438.3
## 208 59 M Post-Graduate Married $60K - $80K 1438.3
## 209 63 M Graduate Married $40K - $60K 2619.0
## 210 58 M College Married $120K + 24407.0
## 211 53 F High School Married Less than $40K 2377.0
## 212 59 M Unknown Unknown $80K - $120K 34516.0
## 213 52 M Graduate Married $120K + 11086.0
## 214 48 M High School Single $60K - $80K 11432.0
## 215 43 M High School Married $40K - $60K 13258.0
## 216 48 M College Single Less than $40K 2571.0
## 217 43 F Graduate Single Less than $40K 5781.0
## 218 44 M Unknown Married $60K - $80K 7872.0
## 219 41 M High School Married $80K - $120K 34516.0
## 220 44 F Uneducated Divorced Less than $40K 11127.0
## 221 50 M Unknown Single $40K - $60K 1857.0
## 222 60 F Uneducated Married Less than $40K 1913.0
## 223 44 M Graduate Single $80K - $120K 3839.0
## 224 48 F Graduate Divorced $40K - $60K 2115.0
## 225 44 F Graduate Divorced Less than $40K 1438.3
## 226 41 M High School Single $80K - $120K 27756.0
## 227 45 M College Single $60K - $80K 1438.3
## 228 47 F Uneducated Divorced Less than $40K 13878.0
## 229 51 F Graduate Married Less than $40K 3106.0
## 230 51 M Graduate Married $120K + 34516.0
## 231 60 F Uneducated Married $40K - $60K 1438.3
## 232 57 M Unknown Married $80K - $120K 18871.0
## 233 41 M Graduate Single $120K + 5207.0
## 234 44 M Post-Graduate Divorced $80K - $120K 17965.0
## 235 43 M College Single $60K - $80K 2733.0
## 236 55 M College Married $60K - $80K 8863.0
## 237 52 M Uneducated Married $80K - $120K 1857.0
## 238 44 M Graduate Unknown $80K - $120K 34516.0
## 239 41 M Uneducated Married $40K - $60K 11107.0
## 240 44 M Unknown Single $80K - $120K 21573.0
## 241 53 F Unknown Married Less than $40K 2859.0
## 242 39 M High School Single $80K - $120K 5269.0
## 243 49 M College Married $40K - $60K 1438.3
## 244 45 F College Married Less than $40K 3387.0
## 245 54 M Graduate Married $80K - $120K 1982.0
## 246 49 M Uneducated Single $80K - $120K 4645.0
## 247 46 F Doctorate Single Unknown 2189.0
## 248 46 M High School Married $120K + 2442.0
## 249 47 M Graduate Married $60K - $80K 21304.0
## 250 44 M Doctorate Single $60K - $80K 7577.0
## 251 50 M Post-Graduate Single $120K + 3234.0
## 252 73 M High School Married $40K - $60K 4469.0
## 253 56 M Unknown Unknown $40K - $60K 2910.0
## 254 59 M High School Single $40K - $60K 3616.0
## 255 70 M High School Married Less than $40K 3252.0
## 256 55 F High School Married Less than $40K 2358.0
## 257 43 M Unknown Single $60K - $80K 22322.0
## 258 45 M Uneducated Single $120K + 3133.0
## 259 45 F Uneducated Single $40K - $60K 3540.0
## 260 40 M Graduate Married $40K - $60K 6990.0
## 261 36 M College Unknown $80K - $120K 34516.0
## 262 59 F Post-Graduate Married $40K - $60K 1438.3
## 263 43 M Unknown Married $60K - $80K 24396.0
## 264 46 F Unknown Married Less than $40K 2474.0
## 265 41 M Uneducated Married $40K - $60K 5214.0
## 266 51 F Graduate Married Less than $40K 5207.0
## 267 51 F Unknown Unknown Less than $40K 9512.0
## 268 43 F Graduate Divorced Unknown 3187.0
## 269 64 F High School Married $40K - $60K 3353.0
## 270 54 M Graduate Married $60K - $80K 2290.0
## 271 48 M Unknown Single $40K - $60K 5279.0
## 272 40 M Uneducated Divorced $60K - $80K 23603.0
## 273 57 M Uneducated Married $40K - $60K 2601.0
## 274 45 M Graduate Single $80K - $120K 6363.0
## 275 41 M High School Single $80K - $120K 8029.0
## 276 42 F Uneducated Married Less than $40K 2410.0
## 277 45 M Graduate Single $60K - $80K 3401.0
## 278 42 F Uneducated Married Less than $40K 2260.0
## 279 47 M Uneducated Divorced $80K - $120K 17682.0
## 280 48 F High School Married $40K - $60K 4206.0
## 281 43 M Graduate Single $80K - $120K 34516.0
## 282 41 M High School Unknown $80K - $120K 23018.0
## 283 54 F Uneducated Married $40K - $60K 5556.0
## 284 54 F High School Married Unknown 6094.0
## 285 61 M Graduate Married $40K - $60K 2939.0
## 286 61 M Uneducated Married $80K - $120K 5362.0
## 287 48 M High School Married $120K + 27126.0
## 288 45 F Graduate Single Less than $40K 3342.0
## 289 54 F Graduate Married Unknown 2532.0
## 290 54 F Doctorate Married Unknown 1900.0
## 291 44 M Graduate Single $60K - $80K 14546.0
## 292 50 F Doctorate Single Unknown 2521.0
## 293 55 M Doctorate Married $60K - $80K 16427.0
## 294 48 M Graduate Unknown $40K - $60K 13068.0
## 295 45 M College Single $60K - $80K 23218.0
## 296 60 M High School Married $40K - $60K 3281.0
## 297 55 M High School Married $40K - $60K 3096.0
## 298 62 F High School Married $40K - $60K 2052.0
## 299 38 F High School Unknown Less than $40K 1438.3
## 300 46 M High School Single $40K - $60K 9432.0
## 301 50 M High School Single $120K + 14938.0
## 302 45 M Uneducated Married $60K - $80K 2221.0
## 303 47 M Post-Graduate Divorced $60K - $80K 5731.0
## 304 48 M College Married $60K - $80K 34516.0
## 305 35 M Uneducated Married $60K - $80K 6985.0
## 306 51 M Graduate Married $120K + 24221.0
## 307 36 F High School Married Unknown 15439.0
## 308 47 M Graduate Single $80K - $120K 21637.0
## 309 52 M Graduate Single $120K + 14543.0
## 310 43 F Uneducated Married Less than $40K 9684.0
## 311 63 M High School Married $40K - $60K 5007.0
## 312 61 M Graduate Married $60K - $80K 1616.0
## 313 53 M Uneducated Single $60K - $80K 19116.0
## 314 53 F Graduate Married Less than $40K 2759.0
## 315 57 M Graduate Married $120K + 8249.0
## 316 38 F Graduate Single Unknown 14041.0
## 317 53 M High School Married $60K - $80K 5264.0
## 318 63 F Unknown Married Less than $40K 2420.0
## 319 49 F High School Married Less than $40K 2826.0
## 320 45 M High School Married $80K - $120K 12518.0
## 321 67 M Graduate Married $40K - $60K 5876.0
## 322 48 M Graduate Single $80K - $120K 34516.0
## 323 51 F Uneducated Divorced Less than $40K 9648.0
## 324 52 M High School Single $80K - $120K 34516.0
## 325 55 F Uneducated Married Unknown 3025.0
## 326 34 M High School Married $60K - $80K 3265.0
## 327 56 M Uneducated Married $120K + 6041.0
## 328 44 F Post-Graduate Married Less than $40K 2293.0
## 329 47 M Post-Graduate Unknown $80K - $120K 13399.0
## 330 46 F Unknown Married Less than $40K 4317.0
## 331 43 F Graduate Single $40K - $60K 3378.0
## 332 50 F Graduate Single Less than $40K 5012.0
## 333 38 F Uneducated Single Less than $40K 2569.0
## 334 53 F Graduate Single Less than $40K 3471.0
## 335 43 M Graduate Divorced $120K + 34516.0
## 336 53 M High School Married $120K + 3312.0
## 337 56 F Graduate Married Less than $40K 2578.0
## 338 54 M Unknown Married $40K - $60K 2902.0
## 339 57 F High School Married Less than $40K 2742.0
## 340 62 M High School Married Less than $40K 2077.0
## 341 46 F Graduate Single Less than $40K 6265.0
## 342 49 M Uneducated Married $60K - $80K 7819.0
## 343 52 M Graduate Single $80K - $120K 2731.0
## 344 58 M Uneducated Married $40K - $60K 1438.3
## 345 54 M High School Married $80K - $120K 16286.0
## 346 49 M Graduate Married $120K + 34516.0
## 347 58 F High School Married Less than $40K 2609.0
## 348 52 M High School Single $60K - $80K 7567.0
## 349 41 M High School Married $60K - $80K 22770.0
## 350 62 F Uneducated Married Less than $40K 3791.0
## 351 54 M Graduate Married Less than $40K 2702.0
## 352 40 F High School Divorced Less than $40K 2555.0
## 353 43 M Graduate Married $80K - $120K 2355.0
## 354 53 F Graduate Single $40K - $60K 5332.0
## 355 55 M Uneducated Single $40K - $60K 1443.0
## 356 46 M Graduate Single $60K - $80K 10741.0
## 357 41 M Uneducated Married $60K - $80K 7984.0
## 358 49 M Uneducated Single $60K - $80K 18584.0
## 359 61 F Graduate Married Unknown 5585.0
## 360 46 M Uneducated Married $80K - $120K 34516.0
## 361 50 F Uneducated Married Less than $40K 1438.3
## 362 40 M Graduate Single $80K - $120K 2478.0
## 363 51 M High School Single $120K + 34516.0
## 364 50 F Graduate Married $40K - $60K 2339.0
## 365 47 F Graduate Married Less than $40K 2726.0
## 366 43 M Unknown Married $120K + 14881.0
## 367 36 F Graduate Married $40K - $60K 1628.0
## 368 47 F Graduate Married Less than $40K 3156.0
## 369 46 F Graduate Single Less than $40K 4745.0
## 370 46 M High School Married $120K + 19727.0
## 371 52 M Uneducated Married $60K - $80K 22720.0
## 372 43 M Unknown Married $40K - $60K 8129.0
## 373 40 F Graduate Single Less than $40K 3751.0
## 374 54 F High School Married Less than $40K 1594.0
## 375 55 F High School Single Less than $40K 2569.0
## 376 49 F Post-Graduate Single Unknown 18206.0
## 377 45 M High School Married $40K - $60K 3104.0
## 378 49 M Graduate Married $40K - $60K 2406.0
## 379 63 M Uneducated Married $80K - $120K 24571.0
## 380 40 F High School Single Less than $40K 15534.0
## 381 41 F Graduate Married Less than $40K 12301.0
## 382 37 M Graduate Married $80K - $120K 2846.0
## 383 58 M Uneducated Unknown $120K + 9788.0
## 384 55 M High School Married $60K - $80K 7231.0
## 385 53 F High School Married Less than $40K 2324.0
## 386 57 M Graduate Married $80K - $120K 12208.0
## 387 43 M Post-Graduate Unknown $80K - $120K 5639.0
## 388 58 M Graduate Married $60K - $80K 10021.0
## 389 64 M Unknown Married Less than $40K 2215.0
## 390 54 F Graduate Married Less than $40K 2027.0
## 391 53 M Graduate Married $60K - $80K 6363.0
## 392 39 F College Single Less than $40K 3920.0
## 393 56 M High School Married $60K - $80K 9226.0
## 394 54 F Unknown Divorced Less than $40K 9376.0
## 395 59 F Post-Graduate Married $40K - $60K 1944.0
## 396 42 M Uneducated Single $40K - $60K 9599.0
## 397 42 M Graduate Married $60K - $80K 28202.0
## 398 43 M College Unknown $80K - $120K 24850.0
## 399 55 M High School Married $120K + 3805.0
## 400 52 M Uneducated Single $80K - $120K 2733.0
## 401 46 M Uneducated Unknown $40K - $60K 12781.0
## 402 57 M Uneducated Married $120K + 3106.0
## 403 48 M College Married $80K - $120K 7477.0
## 404 45 M Unknown Married $120K + 34516.0
## 405 48 M High School Married $120K + 29963.0
## 406 47 M Graduate Single $40K - $60K 6509.0
## 407 42 M College Married $60K - $80K 13450.0
## 408 41 M Graduate Unknown $60K - $80K 27000.0
## 409 51 M College Married $120K + 34516.0
## 410 55 F Graduate Single Less than $40K 6347.0
## 411 67 M Uneducated Married $40K - $60K 3106.0
## 412 39 M Graduate Married $60K - $80K 2536.0
## 413 54 M Post-Graduate Single $60K - $80K 13048.0
## 414 55 F Unknown Married Less than $40K 2453.0
## 415 47 M High School Married $40K - $60K 16138.0
## 416 49 M Post-Graduate Married $60K - $80K 8077.0
## 417 42 F Graduate Married Less than $40K 1929.0
## 418 57 M Unknown Single $80K - $120K 3127.0
## 419 44 M Uneducated Married $60K - $80K 8645.0
## 420 56 M Unknown Single $60K - $80K 1438.3
## 421 49 F Graduate Married Less than $40K 2185.0
## 422 45 M Graduate Single $80K - $120K 24487.0
## 423 63 M High School Married $60K - $80K 2567.0
## 424 44 M Graduate Single $80K - $120K 4131.0
## 425 44 F College Married Less than $40K 10790.0
## 426 40 M High School Married $40K - $60K 6884.0
## 427 39 M Uneducated Single $60K - $80K 13961.0
## 428 42 M High School Married $80K - $120K 29801.0
## 429 54 M High School Married $120K + 13219.0
## 430 58 F Unknown Married Less than $40K 2536.0
## 431 46 F Graduate Divorced Less than $40K 9478.0
## 432 47 F Unknown Divorced $40K - $60K 3502.0
## 433 67 F Unknown Married Unknown 10509.0
## 434 50 F College Divorced Less than $40K 1491.0
## 435 55 M High School Divorced $60K - $80K 9734.0
## 436 46 F Graduate Married $40K - $60K 2305.0
## 437 47 F Uneducated Married $40K - $60K 14241.0
## 438 36 F Unknown Married $40K - $60K 4789.0
## 439 40 M Doctorate Divorced $60K - $80K 23138.0
## 440 57 M Unknown Single $80K - $120K 23008.0
## 441 48 M Unknown Divorced $80K - $120K 3131.0
## 442 58 F Graduate Married Less than $40K 5798.0
## 443 48 M Graduate Single $40K - $60K 6880.0
## 444 48 M Graduate Unknown $80K - $120K 34516.0
## 445 53 F College Married $40K - $60K 2075.0
## 446 50 M Graduate Married $80K - $120K 4589.0
## 447 52 F Graduate Single Less than $40K 2317.0
## 448 53 F Uneducated Single Less than $40K 1981.0
## 449 56 F Graduate Single $40K - $60K 6038.0
## 450 44 M Unknown Single $80K - $120K 14910.0
## 451 49 M High School Married $80K - $120K 29659.0
## 452 54 M Graduate Married $60K - $80K 4320.0
## 453 39 F Unknown Single $40K - $60K 11213.0
## 454 39 F Uneducated Divorced Unknown 26181.0
## 455 41 F High School Single Less than $40K 5773.0
## 456 53 M Uneducated Married $80K - $120K 4503.0
## 457 47 M Uneducated Married $80K - $120K 29770.0
## 458 46 F Post-Graduate Married Less than $40K 5014.0
## 459 53 F High School Married Less than $40K 3445.0
## 460 60 M Graduate Married $80K - $120K 23412.0
## 461 59 F Graduate Single Less than $40K 3044.0
## 462 38 M Unknown Single $60K - $80K 14596.0
## 463 56 M Uneducated Single Less than $40K 3864.0
## 464 35 M Post-Graduate Unknown $80K - $120K 17030.0
## 465 50 M Graduate Single $60K - $80K 23090.0
## 466 53 M Post-Graduate Unknown $80K - $120K 29205.0
## 467 63 M Graduate Married $60K - $80K 14035.0
## 468 43 F Uneducated Single Less than $40K 2962.0
## 469 46 M Unknown Married $80K - $120K 18578.0
## 470 61 M Uneducated Single $60K - $80K 2201.0
## 471 37 F Post-Graduate Married Less than $40K 2061.0
## 472 42 F Doctorate Married Unknown 24602.0
## 473 41 M Uneducated Divorced $120K + 15911.0
## 474 56 M College Single $120K + 16867.0
## 475 56 M Graduate Married $60K - $80K 2783.0
## 476 52 F Post-Graduate Single Less than $40K 2972.0
## 477 40 F High School Single $40K - $60K 5124.0
## 478 63 M Graduate Married $40K - $60K 2880.0
## 479 58 M High School Single $40K - $60K 5579.0
## 480 58 M Unknown Married $60K - $80K 12010.0
## 481 46 M Uneducated Divorced $80K - $120K 34516.0
## 482 37 F Graduate Married $40K - $60K 4394.0
## 483 46 M Graduate Single $80K - $120K 18325.0
## 484 46 F Post-Graduate Married Less than $40K 3773.0
## 485 41 M Graduate Single $80K - $120K 21684.0
## 486 48 F High School Divorced $40K - $60K 1919.0
## 487 49 F Graduate Single $40K - $60K 9995.0
## 488 44 M Graduate Married $80K - $120K 11910.0
## 489 39 F College Married Less than $40K 2279.0
## 490 57 M College Single $40K - $60K 3539.0
## 491 48 M High School Married $80K - $120K 30579.0
## 492 47 M High School Single $80K - $120K 24480.0
## 493 56 F Uneducated Divorced Unknown 17561.0
## 494 54 F College Married Less than $40K 1638.0
## 495 54 M Graduate Married $60K - $80K 2947.0
## 496 52 M High School Married $80K - $120K 5738.0
## 497 43 M Unknown Unknown $120K + 33304.0
## 498 59 M College Single $40K - $60K 7251.0
## 499 44 M Unknown Married Unknown 2885.0
## 500 56 F College Married Less than $40K 2641.0
## Total_Trans_Amt Total_Trans_Ct
## 1 1144 42
## 2 1291 33
## 3 1887 20
## 4 1171 20
## 5 816 28
## 6 1088 24
## 7 1330 31
## 8 1538 36
## 9 1350 24
## 10 1441 32
## 11 1201 42
## 12 1314 26
## 13 1539 17
## 14 1311 33
## 15 1570 29
## 16 1348 27
## 17 1671 27
## 18 1028 21
## 19 1336 30
## 20 1207 21
## 21 1178 27
## 22 692 16
## 23 931 18
## 24 1126 23
## 25 1110 21
## 26 1051 22
## 27 1197 23
## 28 1904 40
## 29 1052 18
## 30 1045 38
## 31 1038 25
## 32 1596 26
## 33 1589 24
## 34 1411 28
## 35 1291 24
## 36 1407 43
## 37 1877 37
## 38 966 22
## 39 1464 28
## 40 704 16
## 41 1109 28
## 42 1347 28
## 43 1756 33
## 44 1756 32
## 45 1042 23
## 46 1444 28
## 47 1741 27
## 48 1719 27
## 49 1217 27
## 50 1140 40
## 51 1878 30
## 52 705 19
## 53 1946 38
## 54 1414 35
## 55 602 15
## 56 1052 32
## 57 1295 40
## 58 1424 29
## 59 1359 25
## 60 1168 27
## 61 1097 33
## 62 691 15
## 63 1316 28
## 64 1276 26
## 65 1289 23
## 66 1293 32
## 67 1353 35
## 68 1132 28
## 69 1670 17
## 70 837 15
## 71 1550 41
## 72 1540 36
## 73 1256 21
## 74 1394 35
## 75 1341 24
## 76 1289 33
## 77 1112 23
## 78 2339 57
## 79 1468 23
## 80 1334 35
## 81 1457 41
## 82 1603 29
## 83 615 12
## 84 1068 20
## 85 1590 27
## 86 1531 35
## 87 1212 31
## 88 1237 32
## 89 1413 14
## 90 1516 29
## 91 1276 21
## 92 1564 35
## 93 1465 34
## 94 1286 29
## 95 1312 20
## 96 1673 32
## 97 1313 30
## 98 1609 42
## 99 1158 19
## 100 836 18
## 101 1289 22
## 102 1487 26
## 103 1259 33
## 104 1298 15
## 105 1226 34
## 106 1566 37
## 107 1022 21
## 108 1235 30
## 109 1951 44
## 110 1047 31
## 111 1342 32
## 112 1107 21
## 113 1251 35
## 114 1305 24
## 115 1388 37
## 116 1235 18
## 117 2089 36
## 118 1626 25
## 119 1111 24
## 120 1553 38
## 121 1064 13
## 122 1243 29
## 123 1659 38
## 124 1594 47
## 125 1268 42
## 126 1304 24
## 127 1368 30
## 128 720 23
## 129 1521 29
## 130 1137 30
## 131 978 16
## 132 1221 16
## 133 1565 28
## 134 1578 34
## 135 1493 32
## 136 1178 27
## 137 991 26
## 138 2560 42
## 139 1657 29
## 140 1204 19
## 141 673 18
## 142 1131 18
## 143 1576 25
## 144 1217 20
## 145 530 10
## 146 739 16
## 147 1617 31
## 148 1592 34
## 149 1343 30
## 150 1303 39
## 151 1351 22
## 152 1910 32
## 153 1298 22
## 154 1087 29
## 155 1439 26
## 156 1238 28
## 157 1716 29
## 158 1099 27
## 159 1058 24
## 160 1285 29
## 161 1651 28
## 162 1152 31
## 163 1767 38
## 164 1039 24
## 165 1130 28
## 166 1645 30
## 167 1413 29
## 168 1218 23
## 169 597 17
## 170 2184 53
## 171 1592 37
## 172 1388 28
## 173 757 20
## 174 1504 34
## 175 1503 34
## 176 1105 28
## 177 2398 47
## 178 1661 32
## 179 1421 22
## 180 999 28
## 181 1387 18
## 182 1243 24
## 183 1860 36
## 184 1502 25
## 185 1460 50
## 186 1348 27
## 187 1087 33
## 188 1226 33
## 189 1230 28
## 190 1555 32
## 191 1827 24
## 192 1376 35
## 193 1771 37
## 194 1873 52
## 195 1679 42
## 196 1002 22
## 197 1344 21
## 198 1461 42
## 199 760 21
## 200 1428 22
## 201 1777 42
## 202 1302 27
## 203 1483 41
## 204 1060 27
## 205 1330 32
## 206 1229 27
## 207 886 27
## 208 844 24
## 209 1450 37
## 210 2311 48
## 211 1378 26
## 212 1033 26
## 213 1523 40
## 214 1374 37
## 215 1080 21
## 216 1234 24
## 217 1600 32
## 218 1155 32
## 219 1353 33
## 220 1546 25
## 221 1590 43
## 222 1448 22
## 223 1271 24
## 224 1223 20
## 225 1117 29
## 226 994 24
## 227 1468 26
## 228 1658 38
## 229 1368 38
## 230 1218 18
## 231 702 12
## 232 1516 21
## 233 1310 26
## 234 1767 50
## 235 933 25
## 236 1512 27
## 237 829 17
## 238 1120 27
## 239 1506 33
## 240 1384 36
## 241 817 30
## 242 2094 25
## 243 815 21
## 244 510 24
## 245 1377 49
## 246 1193 33
## 247 1287 36
## 248 701 19
## 249 1770 25
## 250 1409 35
## 251 1354 28
## 252 1765 34
## 253 1192 27
## 254 687 17
## 255 1227 15
## 256 1737 26
## 257 1348 34
## 258 1435 38
## 259 1321 28
## 260 1479 29
## 261 1283 39
## 262 689 23
## 263 965 17
## 264 1541 40
## 265 1258 23
## 266 1339 20
## 267 1007 22
## 268 1387 33
## 269 960 18
## 270 1119 18
## 271 1642 41
## 272 1382 31
## 273 1232 32
## 274 1542 16
## 275 1094 32
## 276 1217 30
## 277 744 18
## 278 1614 33
## 279 1747 31
## 280 1144 22
## 281 1575 34
## 282 1463 24
## 283 1706 21
## 284 909 14
## 285 2434 33
## 286 1876 41
## 287 1000 25
## 288 1139 30
## 289 799 21
## 290 1881 45
## 291 1273 27
## 292 1328 33
## 293 1579 36
## 294 937 28
## 295 1749 37
## 296 1424 29
## 297 2011 41
## 298 1208 31
## 299 1259 24
## 300 1319 26
## 301 949 27
## 302 1338 30
## 303 1554 26
## 304 1350 32
## 305 1694 44
## 306 1678 40
## 307 2069 43
## 308 1222 23
## 309 1536 37
## 310 1400 31
## 311 1050 28
## 312 1389 33
## 313 1184 29
## 314 2093 42
## 315 678 11
## 316 1467 29
## 317 1219 27
## 318 1730 36
## 319 1025 28
## 320 1165 33
## 321 2133 55
## 322 1122 13
## 323 1083 22
## 324 1234 23
## 325 1277 23
## 326 1843 35
## 327 1747 49
## 328 1166 22
## 329 1326 31
## 330 1619 36
## 331 1285 16
## 332 1142 28
## 333 1190 46
## 334 1052 24
## 335 1628 38
## 336 1740 32
## 337 1378 29
## 338 996 26
## 339 1389 32
## 340 1365 38
## 341 1715 43
## 342 1582 25
## 343 1220 22
## 344 715 13
## 345 2552 49
## 346 1106 31
## 347 1731 34
## 348 1435 32
## 349 1882 38
## 350 2058 34
## 351 1658 32
## 352 1334 32
## 353 1441 29
## 354 1371 39
## 355 1991 38
## 356 1278 22
## 357 1734 39
## 358 1330 34
## 359 1787 31
## 360 1672 32
## 361 1439 41
## 362 1558 31
## 363 1795 47
## 364 893 22
## 365 1099 27
## 366 1408 23
## 367 1893 15
## 368 1151 31
## 369 1519 31
## 370 1245 25
## 371 1102 27
## 372 1402 33
## 373 1060 30
## 374 1459 35
## 375 1456 39
## 376 1439 48
## 377 1353 24
## 378 1173 32
## 379 1746 28
## 380 1279 28
## 381 1307 29
## 382 1473 37
## 383 1805 37
## 384 1421 23
## 385 1272 37
## 386 1409 34
## 387 647 15
## 388 1275 25
## 389 1270 27
## 390 1702 37
## 391 1256 26
## 392 3178 53
## 393 1626 29
## 394 1562 33
## 395 1960 57
## 396 1154 38
## 397 1629 38
## 398 1226 25
## 399 1743 27
## 400 1139 39
## 401 1073 21
## 402 683 17
## 403 1159 32
## 404 1859 47
## 405 1205 28
## 406 1409 37
## 407 1000 18
## 408 1209 39
## 409 1366 25
## 410 1161 44
## 411 1512 38
## 412 1750 35
## 413 1170 24
## 414 2218 50
## 415 1198 33
## 416 1329 26
## 417 857 36
## 418 1470 30
## 419 1435 25
## 420 1093 22
## 421 715 20
## 422 1512 42
## 423 2399 43
## 424 906 22
## 425 1052 16
## 426 975 11
## 427 783 20
## 428 990 21
## 429 1097 24
## 430 901 35
## 431 1327 41
## 432 1814 31
## 433 1365 34
## 434 1058 34
## 435 1476 38
## 436 1230 36
## 437 1581 44
## 438 1534 29
## 439 1612 39
## 440 1302 36
## 441 1439 40
## 442 1724 45
## 443 1784 35
## 444 1156 29
## 445 2556 49
## 446 1590 37
## 447 884 19
## 448 973 25
## 449 1447 30
## 450 1150 26
## 451 1193 21
## 452 706 21
## 453 1257 23
## 454 1303 35
## 455 1306 39
## 456 748 20
## 457 1774 42
## 458 1209 25
## 459 1074 31
## 460 1786 50
## 461 1456 36
## 462 1300 25
## 463 1470 42
## 464 715 25
## 465 1198 24
## 466 1556 43
## 467 1606 30
## 468 929 31
## 469 1606 54
## 470 1199 32
## 471 2400 60
## 472 1337 44
## 473 1270 33
## 474 654 14
## 475 1909 54
## 476 922 25
## 477 1158 42
## 478 1323 26
## 479 1025 35
## 480 1700 35
## 481 1628 51
## 482 1377 32
## 483 1517 33
## 484 1528 25
## 485 1329 24
## 486 1505 33
## 487 1172 38
## 488 1646 39
## 489 1693 32
## 490 1336 23
## 491 1289 19
## 492 1416 32
## 493 1608 33
## 494 1885 51
## 495 1744 53
## 496 1922 48
## 497 1448 29
## 498 1300 36
## 499 1366 31
## 500 1439 39Nguồn: https://www.kaggle.com/datasets/thedevastator/predicting-credit-card-customer-attrition-with-m