Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Text3
DateTime1
Categorical2
Numeric2

Dataset

Description공정거래위원회의 소비자 민원학습에 대한 데이터로, 소비자 민원 상담 중 한국소비자원에서 상담한 데이터(의료,금융,자동차)를 보여주는 데이터입니다. 이 데이터는 사건제목 등을 포함하고 있습니다.
Author공정거래위원회
URLhttps://www.data.go.kr/data/15098336/fileData.do

Alerts

품목코드(ITEM_CODE) is highly overall correlated with 전문상담분야(PROFESSIONAL_DSCSN_RESULT)High correlation
처리결과코드(PRCS_RESULT_CODE) is highly overall correlated with 처리결과(PRCS_RESULT)High correlation
전문상담분야(PROFESSIONAL_DSCSN_RESULT) is highly overall correlated with 품목코드(ITEM_CODE)High correlation
처리결과(PRCS_RESULT) is highly overall correlated with 처리결과코드(PRCS_RESULT_CODE)High correlation
처리결과(PRCS_RESULT) is highly imbalanced (51.1%)Imbalance
사건번호(ACCIDENT_NO) has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:58:12.927820
Analysis finished2023-12-12 16:58:14.760061
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사건번호(ACCIDENT_NO)
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:58:14.932583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row2017-0020033
2nd row2017-0361376
3rd row2018-0632077
4th row2017-0100025
5th row2018-0348974
ValueCountFrequency (%)
2017-0020033 1
 
< 0.1%
2018-0077681 1
 
< 0.1%
2017-0226957 1
 
< 0.1%
2017-0283640 1
 
< 0.1%
2017-0358946 1
 
< 0.1%
2018-0294248 1
 
< 0.1%
2018-0264572 1
 
< 0.1%
2017-0158709 1
 
< 0.1%
2017-0301203 1
 
< 0.1%
2017-0245855 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T01:58:15.359656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26825
22.4%
2 17201
14.3%
1 16801
14.0%
8 10860
9.0%
- 10000
 
8.3%
7 9325
 
7.8%
3 6547
 
5.5%
4 6139
 
5.1%
5 6123
 
5.1%
6 5334
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110000
91.7%
Dash Punctuation 10000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26825
24.4%
2 17201
15.6%
1 16801
15.3%
8 10860
9.9%
7 9325
 
8.5%
3 6547
 
6.0%
4 6139
 
5.6%
5 6123
 
5.6%
6 5334
 
4.8%
9 4845
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26825
22.4%
2 17201
14.3%
1 16801
14.0%
8 10860
9.0%
- 10000
 
8.3%
7 9325
 
7.8%
3 6547
 
5.5%
4 6139
 
5.1%
5 6123
 
5.1%
6 5334
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26825
22.4%
2 17201
14.3%
1 16801
14.0%
8 10860
9.0%
- 10000
 
8.3%
7 9325
 
7.8%
3 6547
 
5.5%
4 6139
 
5.1%
5 6123
 
5.1%
6 5334
 
4.4%

접수일자(RCPT_YMD)
Date

Distinct290
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-01-02 00:00:00
Maximum2018-08-30 00:00:00
2023-12-13T01:58:15.536161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:15.714619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전문상담분야(PROFESSIONAL_DSCSN_RESULT)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자동차 상담
5164 
의료 상담
2725 
금융 보험 상담
2111 

Length

Max length8
Median length6
Mean length6.1497
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금융 보험 상담
2nd row자동차 상담
3rd row의료 상담
4th row금융 보험 상담
5th row금융 보험 상담

Common Values

ValueCountFrequency (%)
자동차 상담 5164
51.6%
의료 상담 2725
27.3%
금융 보험 상담 2111
21.1%

Length

2023-12-13T01:58:15.863591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:58:15.959484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상담 10000
45.2%
자동차 5164
23.4%
의료 2725
 
12.3%
금융 2111
 
9.5%
보험 2111
 
9.5%

품목코드(ITEM_CODE)
Real number (ℝ)

HIGH CORRELATION 

Distinct369
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330655.51
Minimum110213
Maximum510399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:58:16.079962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110213
5-th percentile190103
Q1190901
median380203
Q3499993
95-th percentile510106
Maximum510399
Range400186
Interquartile range (IQR)309092

Descriptive statistics

Standard deviation132592.21
Coefficient of variation (CV)0.40099805
Kurtosis-1.5903648
Mean330655.51
Median Absolute Deviation (MAD)129902
Skewness0.11304983
Sum3.3065551 × 109
Variance1.7580695 × 1010
MonotonicityNot monotonic
2023-12-13T01:58:16.233904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190901 1109
 
11.1%
499993 877
 
8.8%
190103 843
 
8.4%
380218 815
 
8.2%
190903 488
 
4.9%
510104 429
 
4.3%
299999 329
 
3.3%
510105 328
 
3.3%
380206 326
 
3.3%
190905 296
 
3.0%
Other values (359) 4160
41.6%
ValueCountFrequency (%)
110213 2
< 0.1%
110301 2
< 0.1%
110501 1
 
< 0.1%
110709 1
 
< 0.1%
110799 4
< 0.1%
110912 1
 
< 0.1%
110999 2
< 0.1%
111003 1
 
< 0.1%
111099 2
< 0.1%
111199 2
< 0.1%
ValueCountFrequency (%)
510399 4
 
< 0.1%
510303 48
 
0.5%
510302 167
1.7%
510301 1
 
< 0.1%
510299 10
 
0.1%
510204 1
 
< 0.1%
510203 2
 
< 0.1%
510202 6
 
0.1%
510201 3
 
< 0.1%
510199 74
0.7%

품목명(ITEM_NAME)
Text

Distinct369
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:58:16.482272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length6.4743
Min length1

Characters and Unicode

Total characters64743
Distinct characters315
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)1.4%

Sample

1st row연금보험
2nd row중형승용자동차
3rd row신경외과
4th row기타미분류서비스
5th row건강(암·기타질병)보험
ValueCountFrequency (%)
중고자동차중개·매매 1109
 
11.1%
기타미분류서비스 877
 
8.8%
중형승용자동차 843
 
8.4%
치과 815
 
8.1%
자동차수리·점검 488
 
4.9%
자동차보험 429
 
4.3%
기타미분류물품 329
 
3.3%
건강(암·기타질병)보험 328
 
3.3%
성형외과 326
 
3.3%
자동차대여(렌트 296
 
3.0%
Other values (361) 4165
41.6%
2023-12-13T01:58:16.896226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 4532
 
7.0%
차 4289
 
6.6%
동 4177
 
6.5%
중 3153
 
4.9%
기 2354
 
3.6%
타 2337
 
3.6%
매 2232
 
3.4%
· 2153
 
3.3%
과 1971
 
3.0%
형 1832
 
2.8%
Other values (305) 35713
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60618
93.6%
Other Punctuation 2154
 
3.3%
Close Punctuation 956
 
1.5%
Open Punctuation 956
 
1.5%
Uppercase Letter 47
 
0.1%
Decimal Number 7
 
< 0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 4532
 
7.5%
차 4289
 
7.1%
동 4177
 
6.9%
중 3153
 
5.2%
기 2354
 
3.9%
타 2337
 
3.9%
매 2232
 
3.7%
과 1971
 
3.3%
형 1832
 
3.0%
스 1639
 
2.7%
Other values (290) 32102
53.0%
Uppercase Letter
ValueCountFrequency (%)
V 12
25.5%
T 11
23.4%
D 7
14.9%
G 7
14.9%
L 4
 
8.5%
E 3
 
6.4%
C 1
 
2.1%
W 1
 
2.1%
S 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
· 2153
> 99.9%
/ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 956
100.0%
Decimal Number
ValueCountFrequency (%)
2 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60618
93.6%
Common 4078
 
6.3%
Latin 47
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 4532
 
7.5%
차 4289
 
7.1%
동 4177
 
6.9%
중 3153
 
5.2%
기 2354
 
3.9%
타 2337
 
3.9%
매 2232
 
3.7%
과 1971
 
3.3%
형 1832
 
3.0%
스 1639
 
2.7%
Other values (290) 32102
53.0%
Latin
ValueCountFrequency (%)
V 12
25.5%
T 11
23.4%
D 7
14.9%
G 7
14.9%
L 4
 
8.5%
E 3
 
6.4%
C 1
 
2.1%
W 1
 
2.1%
S 1
 
2.1%
Common
ValueCountFrequency (%)
· 2153
52.8%
) 956
23.4%
( 956
23.4%
2 7
 
0.2%
5
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60618
93.6%
None 2153
 
3.3%
ASCII 1972
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 4532
 
7.5%
차 4289
 
7.1%
동 4177
 
6.9%
중 3153
 
5.2%
기 2354
 
3.9%
타 2337
 
3.9%
매 2232
 
3.7%
과 1971
 
3.3%
형 1832
 
3.0%
스 1639
 
2.7%
Other values (290) 32102
53.0%
None
ValueCountFrequency (%)
· 2153
100.0%
ASCII
ValueCountFrequency (%)
) 956
48.5%
( 956
48.5%
V 12
 
0.6%
T 11
 
0.6%
D 7
 
0.4%
2 7
 
0.4%
G 7
 
0.4%
5
 
0.3%
L 4
 
0.2%
E 3
 
0.2%
Other values (4) 4
 
0.2%

사건제목(ACCIDENT_TITLE)
Text

Distinct8959
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:58:17.240274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length48
Mean length20.5511
Min length1

Characters and Unicode

Total characters205511
Distinct characters930
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8569 ?
Unique (%)85.7%

Sample

1st row보험 분쟁 관련 조정 기관 문의
2nd row주행중 멈추는 투싼 차량의 교환요구
3rd row요추 시술시 감염으로 수술
4th row종합소득세 체납 관련 문의
5th row암치료를 위해 입원 치료 후 암 입원급여금 지급요구
ValueCountFrequency (%)
문의 4990
 
9.2%
관련 1273
 
2.3%
후 1006
 
1.9%
요구 903
 
1.7%
차량 847
 
1.6%
경우 739
 
1.4%
대한 635
 
1.2%
1 605
 
1.1%
자동차 529
 
1.0%
보상 480
 
0.9%
Other values (11498) 42178
77.8%
2023-12-13T01:58:17.687320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46749
 
22.7%
의 7034
 
3.4%
문 5879
 
2.9%
차 3672
 
1.8%
보 2966
 
1.4%
구 2894
 
1.4%
상 2891
 
1.4%
한 2750
 
1.3%
고 2563
 
1.2%
자 2421
 
1.2%
Other values (920) 125692
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153930
74.9%
Space Separator 46749
 
22.7%
Decimal Number 2178
 
1.1%
Uppercase Letter 730
 
0.4%
Close Punctuation 535
 
0.3%
Open Punctuation 502
 
0.2%
Other Punctuation 428
 
0.2%
Dash Punctuation 220
 
0.1%
Lowercase Letter 153
 
0.1%
Math Symbol 71
 
< 0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 7034
 
4.6%
문 5879
 
3.8%
차 3672
 
2.4%
보 2966
 
1.9%
구 2894
 
1.9%
상 2891
 
1.9%
한 2750
 
1.8%
고 2563
 
1.7%
자 2421
 
1.6%
수 2390
 
1.6%
Other values (842) 118470
77.0%
Uppercase Letter
ValueCountFrequency (%)
M 124
17.0%
S 80
 
11.0%
B 50
 
6.8%
G 44
 
6.0%
W 42
 
5.8%
K 41
 
5.6%
C 38
 
5.2%
A 35
 
4.8%
T 30
 
4.1%
I 30
 
4.1%
Other values (16) 216
29.6%
Lowercase Letter
ValueCountFrequency (%)
c 21
13.7%
i 15
 
9.8%
m 13
 
8.5%
s 12
 
7.8%
k 9
 
5.9%
a 9
 
5.9%
g 8
 
5.2%
d 8
 
5.2%
b 7
 
4.6%
l 7
 
4.6%
Other values (13) 44
28.8%
Decimal Number
ValueCountFrequency (%)
1 867
39.8%
3 289
 
13.3%
2 258
 
11.8%
4 239
 
11.0%
7 171
 
7.9%
0 154
 
7.1%
5 108
 
5.0%
6 55
 
2.5%
8 21
 
1.0%
9 16
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 267
62.4%
# 84
 
19.6%
/ 42
 
9.8%
* 22
 
5.1%
% 8
 
1.9%
! 2
 
0.5%
' 2
 
0.5%
; 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 66
93.0%
+ 4
 
5.6%
~ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 481
89.9%
] 54
 
10.1%
Open Punctuation
ValueCountFrequency (%)
( 448
89.2%
[ 54
 
10.8%
Space Separator
ValueCountFrequency (%)
46749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153930
74.9%
Common 50698
 
24.7%
Latin 883
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 7034
 
4.6%
문 5879
 
3.8%
차 3672
 
2.4%
보 2966
 
1.9%
구 2894
 
1.9%
상 2891
 
1.9%
한 2750
 
1.8%
고 2563
 
1.7%
자 2421
 
1.6%
수 2390
 
1.6%
Other values (842) 118470
77.0%
Latin
ValueCountFrequency (%)
M 124
 
14.0%
S 80
 
9.1%
B 50
 
5.7%
G 44
 
5.0%
W 42
 
4.8%
K 41
 
4.6%
C 38
 
4.3%
A 35
 
4.0%
T 30
 
3.4%
I 30
 
3.4%
Other values (39) 369
41.8%
Common
ValueCountFrequency (%)
46749
92.2%
1 867
 
1.7%
) 481
 
0.9%
( 448
 
0.9%
3 289
 
0.6%
. 267
 
0.5%
2 258
 
0.5%
4 239
 
0.5%
- 220
 
0.4%
7 171
 
0.3%
Other values (19) 709
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153920
74.9%
ASCII 51581
 
25.1%
Compat Jamo 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46749
90.6%
1 867
 
1.7%
) 481
 
0.9%
( 448
 
0.9%
3 289
 
0.6%
. 267
 
0.5%
2 258
 
0.5%
4 239
 
0.5%
- 220
 
0.4%
7 171
 
0.3%
Other values (68) 1592
 
3.1%
Hangul
ValueCountFrequency (%)
의 7034
 
4.6%
문 5879
 
3.8%
차 3672
 
2.4%
보 2966
 
1.9%
구 2894
 
1.9%
상 2891
 
1.9%
한 2750
 
1.8%
고 2563
 
1.7%
자 2421
 
1.6%
수 2390
 
1.6%
Other values (835) 118460
77.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 3
30.0%
ㅏ 2
20.0%
ㅂ 1
 
10.0%
ㄴ 1
 
10.0%
ㅖ 1
 
10.0%
ㅣ 1
 
10.0%
ㅢ 1
 
10.0%

처리결과코드(PRCS_RESULT_CODE)
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean512.3564
Minimum401
Maximum612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:58:17.805507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum401
5-th percentile501
Q1507
median509
Q3509
95-th percentile527
Maximum612
Range211
Interquartile range (IQR)2

Descriptive statistics

Standard deviation19.913695
Coefficient of variation (CV)0.03886688
Kurtosis17.133833
Mean512.3564
Median Absolute Deviation (MAD)0
Skewness3.6412687
Sum5123564
Variance396.55523
MonotonicityNot monotonic
2023-12-13T01:58:17.915796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
509 5843
58.4%
501 1375
 
13.8%
527 902
 
9.0%
502 423
 
4.2%
504 287
 
2.9%
510 265
 
2.6%
505 247
 
2.5%
507 240
 
2.4%
610 176
 
1.8%
601 70
 
0.7%
Other values (13) 172
 
1.7%
ValueCountFrequency (%)
401 15
 
0.1%
501 1375
 
13.8%
502 423
 
4.2%
504 287
 
2.9%
505 247
 
2.5%
506 31
 
0.3%
507 240
 
2.4%
509 5843
58.4%
510 265
 
2.6%
511 7
 
0.1%
ValueCountFrequency (%)
612 1
 
< 0.1%
610 176
1.8%
609 17
 
0.2%
608 10
 
0.1%
607 11
 
0.1%
606 18
 
0.2%
605 14
 
0.1%
604 22
 
0.2%
603 20
 
0.2%
602 5
 
0.1%

처리결과(PRCS_RESULT)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타정보제공
5843 
분쟁해결기준설명
1375 
피해구제접수안내
902 
법.제도설명
 
423
상품정보제공
 
287
Other values (18)
1170 

Length

Max length11
Median length6
Mean length6.5332
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타정보제공
2nd row분쟁해결기준설명
3rd row기타정보제공
4th row기타정보제공
5th row피해구제접수안내

Common Values

ValueCountFrequency (%)
기타정보제공 5843
58.4%
분쟁해결기준설명 1375
 
13.8%
피해구제접수안내 902
 
9.0%
법.제도설명 423
 
4.2%
상품정보제공 287
 
2.9%
비 소비자상담처리 265
 
2.6%
시장정보제공 247
 
2.5%
타기관알선.이관 240
 
2.4%
합의불성립 176
 
1.8%
수리보수 70
 
0.7%
Other values (13) 172
 
1.7%

Length

2023-12-13T01:58:18.035643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타정보제공 5843
56.9%
분쟁해결기준설명 1375
 
13.4%
피해구제접수안내 902
 
8.8%
법.제도설명 423
 
4.1%
상품정보제공 287
 
2.8%
비 265
 
2.6%
소비자상담처리 265
 
2.6%
시장정보제공 247
 
2.4%
타기관알선.이관 240
 
2.3%
합의불성립 176
 
1.7%
Other values (14) 242
 
2.4%

Interactions

2023-12-13T01:58:14.306234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:14.120888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:14.401293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:58:14.219049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:58:18.116689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전문상담분야(PROFESSIONAL_DSCSN_RESULT)품목코드(ITEM_CODE)처리결과코드(PRCS_RESULT_CODE)처리결과(PRCS_RESULT)
전문상담분야(PROFESSIONAL_DSCSN_RESULT)1.0000.9670.6450.614
품목코드(ITEM_CODE)0.9671.0000.6510.499
처리결과코드(PRCS_RESULT_CODE)0.6450.6511.0001.000
처리결과(PRCS_RESULT)0.6140.4991.0001.000
2023-12-13T01:58:18.231063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리결과(PRCS_RESULT)전문상담분야(PROFESSIONAL_DSCSN_RESULT)
처리결과(PRCS_RESULT)1.0000.400
전문상담분야(PROFESSIONAL_DSCSN_RESULT)0.4001.000
2023-12-13T01:58:18.306001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목코드(ITEM_CODE)처리결과코드(PRCS_RESULT_CODE)전문상담분야(PROFESSIONAL_DSCSN_RESULT)처리결과(PRCS_RESULT)
품목코드(ITEM_CODE)1.0000.2450.7820.218
처리결과코드(PRCS_RESULT_CODE)0.2451.0000.3100.999
전문상담분야(PROFESSIONAL_DSCSN_RESULT)0.7820.3101.0000.400
처리결과(PRCS_RESULT)0.2180.9990.4001.000

Missing values

2023-12-13T01:58:14.513944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:58:14.688040image/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

사건번호(ACCIDENT_NO)접수일자(RCPT_YMD)전문상담분야(PROFESSIONAL_DSCSN_RESULT)품목코드(ITEM_CODE)품목명(ITEM_NAME)사건제목(ACCIDENT_TITLE)처리결과코드(PRCS_RESULT_CODE)처리결과(PRCS_RESULT)
536122017-00200332017-01-09금융 보험 상담510103연금보험보험 분쟁 관련 조정 기관 문의509기타정보제공
794652017-03613762017-05-18자동차 상담190103중형승용자동차주행중 멈추는 투싼 차량의 교환요구501분쟁해결기준설명
517672018-06320772018-08-23의료 상담380205신경외과요추 시술시 감염으로 수술509기타정보제공
563842017-01000252017-02-09금융 보험 상담499993기타미분류서비스종합소득세 체납 관련 문의509기타정보제공
265422018-03489742018-05-18금융 보험 상담510105건강(암·기타질병)보험암치료를 위해 입원 치료 후 암 입원급여금 지급요구527피해구제접수안내
764902017-02548282017-04-07금융 보험 상담510199기타민영보험우체국보험금 지급 거절 문의509기타정보제공
400752018-04429072018-06-19의료 상담380218치과임플란트 재치료에 대한 보상 문의509기타정보제공
805932017-03794292017-05-25의료 상담380701기타의료서비스응급처치후 늑골골절 위자료 문의509기타정보제공
852872017-04572552017-06-20자동차 상담499993기타미분류서비스일반물품509기타정보제공
770642017-02682122017-04-12금융 보험 상담510105건강(암·기타질병)보험보험사 업무처리잘못으로 보험금 오송금에 따른 이행요구509기타정보제공
사건번호(ACCIDENT_NO)접수일자(RCPT_YMD)전문상담분야(PROFESSIONAL_DSCSN_RESULT)품목코드(ITEM_CODE)품목명(ITEM_NAME)사건제목(ACCIDENT_TITLE)처리결과코드(PRCS_RESULT_CODE)처리결과(PRCS_RESULT)
114042018-01234192018-02-19의료 상담499993기타미분류서비스4번안내509기타정보제공
196872018-02869632018-04-24금융 보험 상담499993기타미분류서비스통화품질 불량509기타정보제공
511522018-06385612018-08-27자동차 상담190203대형승합자동차대형 버스 에어컨 정비 관련 문의509기타정보제공
477842018-06007302018-08-10자동차 상담370102국외여행일반상담509기타정보제공
111352018-01225592018-02-19자동차 상담190901중고자동차중개·매매(경기도)중고자동차 침수사실 미고지 관련 문의501분쟁해결기준설명
529962017-00416422017-01-17금융 보험 상담510302상조서비스상조서비스 해지후 환급 지연527피해구제접수안내
419042018-04969062018-07-06자동차 상담190799기타자동차용품차량용 발수코팅제 반품 관련 상담607부당행위시정
858332017-05840872017-08-01금융 보험 상담499993기타미분류서비스임대아파트 관련 문의 (1372->4번 안내)509기타정보제공
513872018-05594872018-07-27자동차 상담190103중형승용자동차차축 부러져 사고난 엑티언 차량의 보상문의502법.제도설명
711992017-02150702017-03-23자동차 상담190103중형승용자동차신차 계약 철회 가능 규정 문의501분쟁해결기준설명