Overview

Dataset statistics

Number of variables15
Number of observations759
Missing cells300
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.3 KiB
Average record size in memory123.2 B

Variable types

Numeric3
DateTime1
Categorical11

Dataset

Description2018년부터 2023년까지 접수 및 처리된 중고차 거래와 관련한 소비자 피해구제 데이터입니다. 처리금액, 하자내용 등의 데이터를 포함하고 있습니다.
Author한국소비자원
URLhttps://www.data.go.kr/data/15126839/fileData.do

Alerts

처리구분 has constant value ""Constant
물품명 has constant value ""Constant
판매방법 is highly overall correlated with 상술High correlation
상술 is highly overall correlated with 판매방법High correlation
판매방법 is highly imbalanced (66.8%)Imbalance
상술 is highly imbalanced (81.6%)Imbalance
계약금액 has 300 (39.5%) missing valuesMissing
순번 has unique valuesUnique
처리금액 has 463 (61.0%) zerosZeros
계약금액 has 9 (1.2%) zerosZeros

Reproduction

Analysis started2024-03-14 10:02:15.063811
Analysis finished2024-03-14 10:02:20.241063
Duration5.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct759
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380
Minimum1
Maximum759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T19:02:20.427661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.9
Q1190.5
median380
Q3569.5
95-th percentile721.1
Maximum759
Range758
Interquartile range (IQR)379

Descriptive statistics

Standard deviation219.24872
Coefficient of variation (CV)0.57697031
Kurtosis-1.2
Mean380
Median Absolute Deviation (MAD)190
Skewness0
Sum288420
Variance48070
MonotonicityStrictly increasing
2024-03-14T19:02:20.872537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
511 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
509 1
 
0.1%
Other values (749) 749
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
759 1
0.1%
758 1
0.1%
757 1
0.1%
756 1
0.1%
755 1
0.1%
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%

접수일자
Date

Distinct565
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2018-01-10 00:00:00
Maximum2023-12-28 00:00:00
2024-03-14T19:02:21.288561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:21.728086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

성별
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
남
632 
여
127 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남
2nd row남
3rd row남
4th row여
5th row남

Common Values

ValueCountFrequency (%)
남 632
83.3%
여 127
 
16.7%

Length

2024-03-14T19:02:22.153141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:22.471659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 632
83.3%
여 127
 
16.7%

연령
Categorical

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
30 - 39세
235 
40 - 49세
225 
50 - 59세
122 
20 - 29세
95 
60 - 64세
32 
Other values (5)
50 

Length

Max length8
Median length8
Mean length7.8471673
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50 - 59세
2nd row30 - 39세
3rd row30 - 39세
4th row40 - 49세
5th row<NA>

Common Values

ValueCountFrequency (%)
30 - 39세 235
31.0%
40 - 49세 225
29.6%
50 - 59세 122
16.1%
20 - 29세 95
12.5%
60 - 64세 32
 
4.2%
<NA> 20
 
2.6%
70 - 79세 13
 
1.7%
65 - 69세 10
 
1.3%
불명 5
 
0.7%
80세이상 2
 
0.3%

Length

2024-03-14T19:02:22.845613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:23.219482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
732
32.9%
30 235
 
10.6%
39세 235
 
10.6%
40 225
 
10.1%
49세 225
 
10.1%
50 122
 
5.5%
59세 122
 
5.5%
20 95
 
4.3%
29세 95
 
4.3%
64세 32
 
1.4%
Other values (8) 105
 
4.7%

지역
Categorical

Distinct18
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
경기도
241 
서울특별시
130 
부산광역시
50 
인천광역시
45 
경상남도
37 
Other values (13)
256 

Length

Max length7
Median length5
Mean length4.2002635
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row경기도
3rd row경기도
4th row강원특별자치도
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 241
31.8%
서울특별시 130
17.1%
부산광역시 50
 
6.6%
인천광역시 45
 
5.9%
경상남도 37
 
4.9%
충청남도 34
 
4.5%
경상북도 31
 
4.1%
전라북도 24
 
3.2%
충청북도 23
 
3.0%
대전광역시 23
 
3.0%
Other values (8) 121
15.9%

Length

2024-03-14T19:02:23.683444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 241
31.6%
서울특별시 130
17.0%
부산광역시 50
 
6.6%
인천광역시 45
 
5.9%
경상남도 37
 
4.8%
충청남도 34
 
4.5%
경상북도 31
 
4.1%
전라북도 24
 
3.1%
대전광역시 23
 
3.0%
대구광역시 23
 
3.0%
Other values (10) 125
16.4%

처리구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
처리완료
759 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row처리완료
2nd row처리완료
3rd row처리완료
4th row처리완료
5th row처리완료

Common Values

ValueCountFrequency (%)
처리완료 759
100.0%

Length

2024-03-14T19:02:24.094677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:24.409107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처리완료 759
100.0%

처리결과
Categorical

Distinct12
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
정보제공
253 
배상
175 
환급
80 
상담기타
74 
수리,보수
59 
Other values (7)
118 

Length

Max length6
Median length4
Mean length3.4690382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정보제공
2nd row배상
3rd row상담기타
4th row배상
5th row수리,보수

Common Values

ValueCountFrequency (%)
정보제공 253
33.3%
배상 175
23.1%
환급 80
 
10.5%
상담기타 74
 
9.7%
수리,보수 59
 
7.8%
조정신청 42
 
5.5%
취하,중지 26
 
3.4%
계약이행 17
 
2.2%
부당행위시정 13
 
1.7%
계약해제 11
 
1.4%
Other values (2) 9
 
1.2%

Length

2024-03-14T19:02:24.766373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정보제공 253
33.3%
배상 175
23.1%
환급 80
 
10.5%
상담기타 74
 
9.7%
수리,보수 59
 
7.8%
조정신청 42
 
5.5%
취하,중지 26
 
3.4%
계약이행 17
 
2.2%
부당행위시정 13
 
1.7%
계약해제 11
 
1.4%
Other values (2) 9
 
1.2%

처리금액
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016355.3
Minimum0
Maximum1.1463 × 108
Zeros463
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T19:02:25.174179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300000
95-th percentile3520000
Maximum1.1463 × 108
Range1.1463 × 108
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation5771131.9
Coefficient of variation (CV)5.6782625
Kurtosis215.45041
Mean1016355.3
Median Absolute Deviation (MAD)0
Skewness12.870019
Sum7.7141364 × 108
Variance3.3305964 × 1013
MonotonicityNot monotonic
2024-03-14T19:02:25.626910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 463
61.0%
200000 30
 
4.0%
500000 23
 
3.0%
300000 22
 
2.9%
100000 20
 
2.6%
1000000 19
 
2.5%
400000 18
 
2.4%
150000 9
 
1.2%
700000 8
 
1.1%
1500000 7
 
0.9%
Other values (100) 140
 
18.4%
ValueCountFrequency (%)
0 463
61.0%
26230 1
 
0.1%
30000 2
 
0.3%
40000 1
 
0.1%
43120 1
 
0.1%
50000 3
 
0.4%
60000 1
 
0.1%
65000 1
 
0.1%
70000 3
 
0.4%
97000 1
 
0.1%
ValueCountFrequency (%)
114630000 1
0.1%
46700000 1
0.1%
46500000 1
0.1%
40000000 1
0.1%
37500000 1
0.1%
36000000 1
0.1%
29300000 1
0.1%
26280970 1
0.1%
20000000 1
0.1%
17447500 1
0.1%

물품명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
중고자동차중개·매매
759 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중고자동차중개·매매
2nd row중고자동차중개·매매
3rd row중고자동차중개·매매
4th row중고자동차중개·매매
5th row중고자동차중개·매매

Common Values

ValueCountFrequency (%)
중고자동차중개·매매 759
100.0%

Length

2024-03-14T19:02:26.052411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:26.372861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중고자동차중개·매매 759
100.0%

판매방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
일반판매
638 
국내온라인거래
 
46
기타
 
35
방문판매
 
12
기타통신판매
 
11
Other values (3)
 
17

Length

Max length9
Median length4
Mean length4.1620553
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반판매
2nd row일반판매
3rd row일반판매
4th row일반판매
5th row방문판매

Common Values

ValueCountFrequency (%)
일반판매 638
84.1%
국내온라인거래 46
 
6.1%
기타 35
 
4.6%
방문판매 12
 
1.6%
기타통신판매 11
 
1.4%
모바일거래 10
 
1.3%
전화권유판매 4
 
0.5%
소셜커머스(쇼핑) 3
 
0.4%

Length

2024-03-14T19:02:26.735401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:27.102873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반판매 638
84.1%
국내온라인거래 46
 
6.1%
기타 35
 
4.6%
방문판매 12
 
1.6%
기타통신판매 11
 
1.4%
모바일거래 10
 
1.3%
전화권유판매 4
 
0.5%
소셜커머스(쇼핑 3
 
0.4%

접수방법
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
소비자원홈페이지
282 
FAX
215 
우편
106 
소비자24
69 
Internet
56 
Other values (2)
31 

Length

Max length8
Median length5
Mean length5.2279315
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowFAX
2nd row소비자원홈페이지
3rd rowInternet
4th row소비자원홈페이지
5th rowInternet

Common Values

ValueCountFrequency (%)
소비자원홈페이지 282
37.2%
FAX 215
28.3%
우편 106
 
14.0%
소비자24 69
 
9.1%
Internet 56
 
7.4%
방문 30
 
4.0%
전화 1
 
0.1%

Length

2024-03-14T19:02:27.534627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:27.899440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소비자원홈페이지 282
37.2%
fax 215
28.3%
우편 106
 
14.0%
소비자24 69
 
9.1%
internet 56
 
7.4%
방문 30
 
4.0%
전화 1
 
0.1%

상술
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
정상판매
716 
기타
 
31
<NA>
 
11
신분사칭
 
1

Length

Max length4
Median length4
Mean length3.9183136
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row정상판매
2nd row정상판매
3rd row정상판매
4th row정상판매
5th row정상판매

Common Values

ValueCountFrequency (%)
정상판매 716
94.3%
기타 31
 
4.1%
<NA> 11
 
1.4%
신분사칭 1
 
0.1%

Length

2024-03-14T19:02:28.309681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:02:28.675794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상판매 716
94.3%
기타 31
 
4.1%
na 11
 
1.4%
신분사칭 1
 
0.1%

청구이유
Categorical

Distinct14
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
계약불이행(불완전이행)
233 
부당행위
174 
품질(물품/용역)
113 
표시.광고
85 
AS불만
76 
Other values (9)
78 

Length

Max length12
Median length11
Mean length7.7786561
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row계약불이행(불완전이행)
2nd row부당행위
3rd row품질(물품/용역)
4th row표시.광고
5th rowAS불만

Common Values

ValueCountFrequency (%)
계약불이행(불완전이행) 233
30.7%
부당행위 174
22.9%
품질(물품/용역) 113
14.9%
표시.광고 85
 
11.2%
AS불만 76
 
10.0%
계약해제.해지/위약금 45
 
5.9%
청약철회 12
 
1.6%
단순문의.상담 7
 
0.9%
이자.수수료 6
 
0.8%
가격.요금 3
 
0.4%
Other values (4) 5
 
0.7%

Length

2024-03-14T19:02:29.058207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계약불이행(불완전이행 233
30.7%
부당행위 174
22.9%
품질(물품/용역 113
14.9%
표시.광고 85
 
11.2%
as불만 76
 
10.0%
계약해제.해지/위약금 45
 
5.9%
청약철회 12
 
1.6%
단순문의.상담 7
 
0.9%
이자.수수료 6
 
0.8%
가격.요금 3
 
0.4%
Other values (4) 5
 
0.7%

하자내용
Categorical

Distinct13
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
보증수리 미이행
158 
성능불만족
149 
기타
120 
자동차중개
118 
사고차량 미고지 및 허위고지
114 
Other values (8)
100 

Length

Max length17
Median length15
Mean length7.2318841
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row사고차량 미고지 및 허위고지
3rd row보증수리 미이행
4th row사고차량 미고지 및 허위고지
5th row보증수리 미이행

Common Values

ValueCountFrequency (%)
보증수리 미이행 158
20.8%
성능불만족 149
19.6%
기타 120
15.8%
자동차중개 118
15.5%
사고차량 미고지 및 허위고지 114
15.0%
제세공과금 미정산 31
 
4.1%
주행거리 조작 19
 
2.5%
중고자동차 성능점검기록부 미교부 15
 
2.0%
계약금 환급지연 14
 
1.8%
침수차량 미고지 12
 
1.6%
Other values (3) 9
 
1.2%

Length

2024-03-14T19:02:29.486974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보증수리 158
11.5%
미이행 158
11.5%
성능불만족 149
10.8%
미고지 126
9.2%
기타 120
8.7%
자동차중개 118
8.6%
사고차량 114
8.3%
및 114
8.3%
허위고지 114
8.3%
제세공과금 31
 
2.3%
Other values (15) 172
12.5%

계약금액
Real number (ℝ)

MISSING  ZEROS 

Distinct325
Distinct (%)70.8%
Missing300
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean15800448
Minimum0
Maximum3.79 × 108
Zeros9
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T19:02:29.892475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1288
Q14000000
median9200000
Q318500000
95-th percentile44550000
Maximum3.79 × 108
Range3.79 × 108
Interquartile range (IQR)14500000

Descriptive statistics

Standard deviation27693185
Coefficient of variation (CV)1.7526835
Kurtosis88.707791
Mean15800448
Median Absolute Deviation (MAD)6700000
Skewness7.9957028
Sum7.2524058 × 109
Variance7.6691252 × 1014
MonotonicityNot monotonic
2024-03-14T19:02:30.343370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000000 13
 
1.7%
0 9
 
1.2%
500000 8
 
1.1%
8500000 6
 
0.8%
5000000 6
 
0.8%
4900000 5
 
0.7%
300000 5
 
0.7%
11000000 5
 
0.7%
15600000 4
 
0.5%
5500000 4
 
0.5%
Other values (315) 394
51.9%
(Missing) 300
39.5%
ValueCountFrequency (%)
0 9
1.2%
10 1
 
0.1%
20 2
 
0.3%
90 1
 
0.1%
100 1
 
0.1%
230 1
 
0.1%
291 1
 
0.1%
330 1
 
0.1%
340 1
 
0.1%
350 1
 
0.1%
ValueCountFrequency (%)
379000000 1
0.1%
295000000 1
0.1%
172000000 1
0.1%
114630000 1
0.1%
109000000 1
0.1%
86822080 1
0.1%
85000000 2
0.3%
71300000 1
0.1%
71000000 1
0.1%
64500000 1
0.1%

Interactions

2024-03-14T19:02:18.460059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:16.604834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:17.639494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:18.729442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:16.889960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:17.921090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:18.999357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:17.163781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:02:18.189996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:02:30.823493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번성별연령지역처리결과처리금액판매방법접수방법상술청구이유하자내용계약금액
순번1.0000.1470.0000.1480.2610.0530.1920.2750.1510.4650.2780.000
성별0.1471.0000.0300.0940.1190.0000.0630.0130.0400.1200.0790.000
연령0.0000.0301.0000.0000.1000.0000.0000.2730.0830.3120.0000.000
지역0.1480.0940.0001.0000.0000.0000.3200.1240.0210.1690.0000.000
처리결과0.2610.1190.1000.0001.0000.3540.0650.1400.1190.3020.5340.000
처리금액0.0530.0000.0000.0000.3541.0000.0000.0000.0000.0000.3520.650
판매방법0.1920.0630.0000.3200.0650.0001.0000.1480.6460.3280.0000.000
접수방법0.2750.0130.2730.1240.1400.0000.1481.0000.2320.1760.0000.000
상술0.1510.0400.0830.0210.1190.0000.6460.2321.0000.1260.0000.000
청구이유0.4650.1200.3120.1690.3020.0000.3280.1760.1261.0000.3250.000
하자내용0.2780.0790.0000.0000.5340.3520.0000.0000.0000.3251.0000.335
계약금액0.0000.0000.0000.0000.0000.6500.0000.0000.0000.0000.3351.000
2024-03-14T19:02:31.159734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
청구이유처리결과지역연령성별상술접수방법하자내용판매방법
청구이유1.0000.1180.0570.1360.0930.0690.0650.1280.150
처리결과0.1181.0000.0000.0420.0920.0520.0680.1760.027
지역0.0570.0001.0000.0000.0730.0080.0550.0000.139
연령0.1360.0420.0001.0000.0300.0360.1470.0000.000
성별0.0930.0920.0730.0301.0000.0660.0130.0610.047
상술0.0690.0520.0080.0360.0661.0000.1590.0000.519
접수방법0.0650.0680.0550.1470.0130.1591.0000.0000.079
하자내용0.1280.1760.0000.0000.0610.0000.0001.0000.000
판매방법0.1500.0270.1390.0000.0470.5190.0790.0001.000
2024-03-14T19:02:31.474382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번처리금액계약금액성별연령지역처리결과판매방법접수방법상술청구이유하자내용
순번1.000-0.0490.0110.1120.0000.0560.1120.0920.1420.0900.2070.120
처리금액-0.0491.000-0.0840.0000.0000.0000.1450.0000.0000.0000.0000.145
계약금액0.011-0.0841.0000.0000.0000.0000.0000.0000.0000.0000.0000.169
성별0.1120.0000.0001.0000.0300.0730.0920.0470.0130.0660.0930.061
연령0.0000.0000.0000.0301.0000.0000.0420.0000.1470.0360.1360.000
지역0.0560.0000.0000.0730.0001.0000.0000.1390.0550.0080.0570.000
처리결과0.1120.1450.0000.0920.0420.0001.0000.0270.0680.0520.1180.176
판매방법0.0920.0000.0000.0470.0000.1390.0271.0000.0790.5190.1500.000
접수방법0.1420.0000.0000.0130.1470.0550.0680.0791.0000.1590.0650.000
상술0.0900.0000.0000.0660.0360.0080.0520.5190.1591.0000.0690.000
청구이유0.2070.0000.0000.0930.1360.0570.1180.1500.0650.0691.0000.128
하자내용0.1200.1450.1690.0610.0000.0000.1760.0000.0000.0000.1281.000

Missing values

2024-03-14T19:02:19.395537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:02:19.999210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번접수일자성별연령지역처리구분처리결과처리금액물품명판매방법접수방법상술청구이유하자내용계약금액
012018-01-10남50 - 59세충청남도처리완료정보제공0중고자동차중개·매매일반판매FAX정상판매계약불이행(불완전이행)기타<NA>
122018-01-11남30 - 39세경기도처리완료배상400000중고자동차중개·매매일반판매소비자원홈페이지정상판매부당행위사고차량 미고지 및 허위고지21300000
232018-01-12남30 - 39세경기도처리완료상담기타0중고자동차중개·매매일반판매Internet정상판매품질(물품/용역)보증수리 미이행<NA>
342018-01-15여40 - 49세강원특별자치도처리완료배상467000중고자동차중개·매매일반판매소비자원홈페이지정상판매표시.광고사고차량 미고지 및 허위고지3779000
452018-01-18남<NA>서울특별시처리완료수리,보수800000중고자동차중개·매매방문판매Internet정상판매AS불만보증수리 미이행2500000
562018-01-18남50 - 59세경기도처리완료상담기타0중고자동차중개·매매일반판매FAX정상판매계약불이행(불완전이행)기타<NA>
672018-01-18남50 - 59세경기도처리완료배상200000중고자동차중개·매매일반판매FAX정상판매AS불만사고차량 미고지 및 허위고지<NA>
782018-01-19남40 - 49세부산광역시처리완료배상100000중고자동차중개·매매일반판매FAX정상판매AS불만보증수리 미이행<NA>
892018-01-24남50 - 59세충청북도처리완료수리,보수280000중고자동차중개·매매국내온라인거래소비자원홈페이지기타표시.광고성능불만족20780000
9102018-01-29남30 - 39세경기도처리완료취하,중지0중고자동차중개·매매일반판매우편정상판매품질(물품/용역)성능불만족7600000
순번접수일자성별연령지역처리구분처리결과처리금액물품명판매방법접수방법상술청구이유하자내용계약금액
7497502023-12-06남30 - 39세대전광역시처리완료조정신청0중고자동차중개·매매일반판매소비자원홈페이지정상판매표시.광고보증수리 미이행32000000
7507512023-12-11남20 - 29세전라남도처리완료배상1000000중고자동차중개·매매일반판매FAX정상판매품질(물품/용역)기타<NA>
7517522023-12-11남30 - 39세대전광역시처리완료환급500000중고자동차중개·매매일반판매소비자원홈페이지정상판매표시.광고자동차중개90
7527532023-12-14남30 - 39세서울특별시처리완료상담기타0중고자동차중개·매매일반판매소비자원홈페이지정상판매AS불만보증수리 미이행12200000
7537542023-12-14남30 - 39세경기도처리완료취하,중지0중고자동차중개·매매일반판매소비자원홈페이지정상판매표시.광고사고차량 미고지 및 허위고지17000000
7547552023-12-18남40 - 49세전라남도처리완료상담기타0중고자동차중개·매매일반판매소비자원홈페이지정상판매계약불이행(불완전이행)성능불만족13900000
7557562023-12-18남60 - 64세전라남도처리완료처리불능0중고자동차중개·매매일반판매FAX정상판매계약해제.해지/위약금명의이전 지연<NA>
7567572023-12-19남50 - 59세경상북도처리완료정보제공0중고자동차중개·매매일반판매소비자원홈페이지정상판매계약불이행(불완전이행)성능불만족5000000
7577582023-12-22남50 - 59세서울특별시처리완료정보제공0중고자동차중개·매매기타통신판매소비자원홈페이지정상판매약관자동차중개10000000
7587592023-12-28남50 - 59세서울특별시처리완료정보제공0중고자동차중개·매매방문판매소비자24정상판매품질(물품/용역)사고차량 미고지 및 허위고지17835550