Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells21
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory134.0 B

Variable types

Text4
DateTime1
Numeric5
Categorical5

Dataset

Description공정거래위원회의 소비자 민원학습 데이터로, 소비자들의 민원상담을 처리한 기관별 상담데이터를 보여주는 데이터입니다. 이 데이터는 기관명 상위기관을 포함하고 있습니다.
Author공정거래위원회
URLhttps://www.data.go.kr/data/15098351/fileData.do

Alerts

성별코드(GENDER_CODE) is highly overall correlated with 성별(GENDER)High correlation
성별(GENDER) is highly overall correlated with 성별코드(GENDER_CODE)High correlation
교육기관코드(INSTITUTION_CODE) is highly overall correlated with 교육기관명(INSTITUTION_NAME)High correlation
연령대코드(AGE_GROUP_CODE) is highly overall correlated with 연령대명(AGE_GROUP_NAME)High correlation
처리결과코드(PRCS_RESULT_CODE) is highly overall correlated with 처리결과명(PRCS_RESULT_NAME)High correlation
교육기관명(INSTITUTION_NAME) is highly overall correlated with 교육기관코드(INSTITUTION_CODE)High correlation
연령대명(AGE_GROUP_NAME) is highly overall correlated with 연령대코드(AGE_GROUP_CODE)High correlation
처리결과명(PRCS_RESULT_NAME) is highly overall correlated with 처리결과코드(PRCS_RESULT_CODE)High correlation
사건번호(ACCIDENT_NO) has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:20:28.082719
Analysis finished2023-12-13 00:20:32.172935
Duration4.09 seconds
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
2023-12-13T09:20:32.309370image/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 row2020-0191065
2nd row2020-0022269
3rd row2020-0278706
4th row2020-0049241
5th row2020-0078245
ValueCountFrequency (%)
2020-0191065 1
 
< 0.1%
2020-0256503 1
 
< 0.1%
2020-0147598 1
 
< 0.1%
2020-0027598 1
 
< 0.1%
2020-0219550 1
 
< 0.1%
2020-0066237 1
 
< 0.1%
2020-0101376 1
 
< 0.1%
2020-0034545 1
 
< 0.1%
2020-0097782 1
 
< 0.1%
2020-0199448 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T09:20:32.612391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38455
32.0%
2 27995
23.3%
- 10000
 
8.3%
1 8269
 
6.9%
3 5738
 
4.8%
4 5008
 
4.2%
9 4964
 
4.1%
6 4927
 
4.1%
5 4912
 
4.1%
8 4904
 
4.1%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38455
35.0%
2 27995
25.4%
1 8269
 
7.5%
3 5738
 
5.2%
4 5008
 
4.6%
9 4964
 
4.5%
6 4927
 
4.5%
5 4912
 
4.5%
8 4904
 
4.5%
7 4828
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38455
32.0%
2 27995
23.3%
- 10000
 
8.3%
1 8269
 
6.9%
3 5738
 
4.8%
4 5008
 
4.2%
9 4964
 
4.1%
6 4927
 
4.1%
5 4912
 
4.1%
8 4904
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38455
32.0%
2 27995
23.3%
- 10000
 
8.3%
1 8269
 
6.9%
3 5738
 
4.8%
4 5008
 
4.2%
9 4964
 
4.1%
6 4927
 
4.1%
5 4912
 
4.1%
8 4904
 
4.1%

등록일자(RCPT_YMD)
Date

Distinct152
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2020-06-11 00:00:00
2023-12-13T09:20:32.713849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:32.812237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육기관코드(INSTITUTION_CODE)
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35654.54
Minimum10000
Maximum41700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:20:32.908312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10000
Q140200
median40400
Q341000
95-th percentile41700
Maximum41700
Range31700
Interquartile range (IQR)800

Descriptive statistics

Standard deviation10943.843
Coefficient of variation (CV)0.30694109
Kurtosis1.5389958
Mean35654.54
Median Absolute Deviation (MAD)300
Skewness-1.8416289
Sum3.565454 × 108
Variance1.1976771 × 108
MonotonicityNot monotonic
2023-12-13T09:20:32.996515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
40400 1579
15.8%
10000 1489
14.9%
41100 1416
14.2%
40300 1089
10.9%
40600 869
8.7%
41700 852
8.5%
40500 797
8.0%
40200 415
 
4.2%
40800 408
 
4.1%
40100 283
 
2.8%
Other values (20) 803
8.0%
ValueCountFrequency (%)
10000 1489
14.9%
30100 25
 
0.2%
30200 30
 
0.3%
30300 18
 
0.2%
30400 4
 
< 0.1%
30500 14
 
0.1%
30600 19
 
0.2%
30700 30
 
0.3%
30800 149
 
1.5%
30900 12
 
0.1%
ValueCountFrequency (%)
41700 852
8.5%
41500 122
 
1.2%
41100 1416
14.2%
41000 185
 
1.8%
40800 408
 
4.1%
40600 869
8.7%
40500 797
8.0%
40400 1579
15.8%
40300 1089
10.9%
40200 415
 
4.2%

교육기관명(INSTITUTION_NAME)
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국여성소비자연합
1579 
한국소비자원
1489 
한국소비자연맹
1416 
녹색소비자연대
1089 
소비자교육중앙회
869 
Other values (25)
3558 

Length

Max length12
Median length10
Mean length7.8778
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한국소비자교육원
2nd row녹색소비자연대
3rd row(사)소비자공익네트워크
4th row녹색소비자연대
5th row한국여성소비자연합

Common Values

ValueCountFrequency (%)
한국여성소비자연합 1579
15.8%
한국소비자원 1489
14.9%
한국소비자연맹 1416
14.2%
녹색소비자연대 1089
10.9%
소비자교육중앙회 869
8.7%
(사)소비자공익네트워크 852
8.5%
소비자시민모임 797
8.0%
한국YMCA전국연맹 415
 
4.2%
(사)한국부인회 408
 
4.1%
한국YWCA연합회 283
 
2.8%
Other values (20) 803
8.0%

Length

2023-12-13T09:20:33.104709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한국여성소비자연합 1579
15.8%
한국소비자원 1489
14.9%
한국소비자연맹 1416
14.2%
녹색소비자연대 1089
10.9%
소비자교육중앙회 869
8.7%
사)소비자공익네트워크 852
8.5%
소비자시민모임 797
8.0%
한국ymca전국연맹 415
 
4.2%
사)한국부인회 408
 
4.1%
한국ywca연합회 283
 
2.8%
Other values (20) 803
8.0%

성별코드(GENDER_CODE)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
5707 
1
4221 
<NA>
 
72

Length

Max length4
Median length1
Mean length1.0216
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 5707
57.1%
1 4221
42.2%
<NA> 72
 
0.7%

Length

2023-12-13T09:20:33.200877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:20:33.483878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5707
57.1%
1 4221
42.2%
na 72
 
0.7%

성별(GENDER)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여성
5707 
남성
4221 
<NA>
 
72

Length

Max length4
Median length2
Mean length2.0144
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여성
2nd row남성
3rd row남성
4th row여성
5th row여성

Common Values

ValueCountFrequency (%)
여성 5707
57.1%
남성 4221
42.2%
<NA> 72
 
0.7%

Length

2023-12-13T09:20:33.567722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:20:33.646456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여성 5707
57.1%
남성 4221
42.2%
na 72
 
0.7%

연령대코드(AGE_GROUP_CODE)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean5.4114703
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:20:33.716381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q36
95-th percentile11
Maximum12
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2439206
Coefficient of variation (CV)0.41466006
Kurtosis1.7726801
Mean5.4114703
Median Absolute Deviation (MAD)1
Skewness1.5813961
Sum54066
Variance5.0351797
MonotonicityNot monotonic
2023-12-13T09:20:33.813600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 3105
31.1%
5 2538
25.4%
6 1859
18.6%
3 1053
 
10.5%
11 682
 
6.8%
9 281
 
2.8%
12 223
 
2.2%
8 190
 
1.9%
10 37
 
0.4%
2 23
 
0.2%
(Missing) 9
 
0.1%
ValueCountFrequency (%)
2 23
 
0.2%
3 1053
 
10.5%
4 3105
31.1%
5 2538
25.4%
6 1859
18.6%
8 190
 
1.9%
9 281
 
2.8%
10 37
 
0.4%
11 682
 
6.8%
12 223
 
2.2%
ValueCountFrequency (%)
12 223
 
2.2%
11 682
 
6.8%
10 37
 
0.4%
9 281
 
2.8%
8 190
 
1.9%
6 1859
18.6%
5 2538
25.4%
4 3105
31.1%
3 1053
 
10.5%
2 23
 
0.2%

연령대명(AGE_GROUP_NAME)
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
30 - 39세
3105 
40 - 49세
2538 
50 - 59세
1859 
20 - 29세
1053 
60 - 64세
682 
Other values (6)
763 

Length

Max length8
Median length8
Mean length7.8167
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
30 - 39세 3105
31.1%
40 - 49세 2538
25.4%
50 - 59세 1859
18.6%
20 - 29세 1053
 
10.5%
60 - 64세 682
 
6.8%
불명 281
 
2.8%
65 - 69세 223
 
2.2%
70 - 79세 190
 
1.9%
80세이상 37
 
0.4%
10 - 19세 23
 
0.2%

Length

2023-12-13T09:20:33.915385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9673
33.0%
30 3105
 
10.6%
39세 3105
 
10.6%
40 2538
 
8.6%
49세 2538
 
8.6%
50 1859
 
6.3%
59세 1859
 
6.3%
20 1053
 
3.6%
29세 1053
 
3.6%
64세 682
 
2.3%
Other values (10) 1881
 
6.4%

지역코드(AREA_CODE)
Real number (ℝ)

Distinct247
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean811.4521
Minimum100
Maximum9907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:20:34.011110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1205
median800
Q3825
95-th percentile1506
Maximum9907
Range9807
Interquartile range (IQR)620

Descriptive statistics

Standard deviation1243.9948
Coefficient of variation (CV)1.5330478
Kurtosis43.227702
Mean811.4521
Median Absolute Deviation (MAD)400
Skewness6.2874888
Sum8114521
Variance1547523.2
MonotonicityNot monotonic
2023-12-13T09:20:34.113230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
800 1642
 
16.4%
100 1108
 
11.1%
400 362
 
3.6%
200 353
 
3.5%
300 272
 
2.7%
600 263
 
2.6%
1100 183
 
1.8%
9900 155
 
1.6%
810 141
 
1.4%
801 138
 
1.4%
Other values (237) 5383
53.8%
ValueCountFrequency (%)
100 1108
11.1%
101 78
 
0.8%
102 49
 
0.5%
103 21
 
0.2%
104 74
 
0.7%
105 40
 
0.4%
106 37
 
0.4%
107 40
 
0.4%
108 24
 
0.2%
109 46
 
0.5%
ValueCountFrequency (%)
9907 4
 
< 0.1%
9903 1
 
< 0.1%
9901 2
 
< 0.1%
9900 155
1.6%
1700 56
 
0.6%
1604 41
 
0.4%
1603 11
 
0.1%
1600 30
 
0.3%
1520 8
 
0.1%
1519 2
 
< 0.1%

지역명(AREA_NAME)
Text

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:20:34.404607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.6595
Min length2

Characters and Unicode

Total characters36595
Distinct characters143
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st row고양시
2nd row대전광역시
3rd row경기도
4th row남구
5th row금천구
ValueCountFrequency (%)
경기도 1642
 
15.9%
서울특별시 1108
 
10.7%
인천광역시 362
 
3.5%
부산광역시 353
 
3.4%
대구광역시 272
 
2.6%
대전광역시 263
 
2.6%
충청남도 183
 
1.8%
기타 159
 
1.5%
해외 155
 
1.5%
및 155
 
1.5%
Other values (216) 5658
54.9%
2023-12-13T09:20:34.775782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5485
 
15.0%
도 2335
 
6.4%
구 2249
 
6.1%
경 1917
 
5.2%
기 1812
 
5.0%
광 1805
 
4.9%
역 1496
 
4.1%
서 1466
 
4.0%
울 1229
 
3.4%
별 1194
 
3.3%
Other values (133) 15607
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36285
99.2%
Space Separator 310
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5485
 
15.1%
도 2335
 
6.4%
구 2249
 
6.2%
경 1917
 
5.3%
기 1812
 
5.0%
광 1805
 
5.0%
역 1496
 
4.1%
서 1466
 
4.0%
울 1229
 
3.4%
별 1194
 
3.3%
Other values (132) 15297
42.2%
Space Separator
ValueCountFrequency (%)
310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36285
99.2%
Common 310
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5485
 
15.1%
도 2335
 
6.4%
구 2249
 
6.2%
경 1917
 
5.3%
기 1812
 
5.0%
광 1805
 
5.0%
역 1496
 
4.1%
서 1466
 
4.0%
울 1229
 
3.4%
별 1194
 
3.3%
Other values (132) 15297
42.2%
Common
ValueCountFrequency (%)
310
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36285
99.2%
ASCII 310
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5485
 
15.1%
도 2335
 
6.4%
구 2249
 
6.2%
경 1917
 
5.3%
기 1812
 
5.0%
광 1805
 
5.0%
역 1496
 
4.1%
서 1466
 
4.0%
울 1229
 
3.4%
별 1194
 
3.3%
Other values (132) 15297
42.2%
ASCII
ValueCountFrequency (%)
310
100.0%

품목코드(ITEM_CODE)
Real number (ℝ)

Distinct787
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287120.52
Minimum110101
Maximum999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:20:34.889714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110101
5-th percentile120102
Q1171199
median241305
Q3370408
95-th percentile500205
Maximum999999
Range889898
Interquartile range (IQR)199209

Descriptive statistics

Standard deviation125298.38
Coefficient of variation (CV)0.43639648
Kurtosis-1.11465
Mean287120.52
Median Absolute Deviation (MAD)108799
Skewness0.33657944
Sum2.8712052 × 109
Variance1.5699685 × 1010
MonotonicityNot monotonic
2023-12-13T09:20:34.987908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
370102 388
 
3.9%
370408 356
 
3.6%
499993 352
 
3.5%
189999 299
 
3.0%
350104 278
 
2.8%
360302 258
 
2.6%
299999 237
 
2.4%
139912 191
 
1.9%
360701 171
 
1.7%
179999 157
 
1.6%
Other values (777) 7313
73.1%
ValueCountFrequency (%)
110101 8
0.1%
110102 4
 
< 0.1%
110106 1
 
< 0.1%
110108 1
 
< 0.1%
110115 3
 
< 0.1%
110121 1
 
< 0.1%
110199 15
0.1%
110201 2
 
< 0.1%
110202 5
 
0.1%
110203 1
 
< 0.1%
ValueCountFrequency (%)
999999 1
 
< 0.1%
510399 3
 
< 0.1%
510303 3
 
< 0.1%
510302 76
0.8%
510299 1
 
< 0.1%
510202 1
 
< 0.1%
510201 1
 
< 0.1%
510199 12
 
0.1%
510115 12
 
0.1%
510114 1
 
< 0.1%

품목명(ITEM_NAME)
Text

Distinct785
Distinct (%)7.9%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T09:20:35.167909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.9181017
Min length1

Characters and Unicode

Total characters59110
Distinct characters470
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

Unique230 ?
Unique (%)2.3%

Sample

1st row기타자동차부품
2nd row국외여행
3rd row일반이사운송서비스
4th row타이어
5th rowTV
ValueCountFrequency (%)
국외여행 388
 
3.8%
헬스장 356
 
3.5%
기타미분류서비스 352
 
3.5%
기타보건·위생용품 299
 
3.0%
항공여객운송서비스 278
 
2.8%
이동전화서비스 258
 
2.6%
기타미분류물품 237
 
2.3%
정수기대여(렌트 191
 
1.9%
초고속인터넷 171
 
1.7%
기타의류·섬유 157
 
1.6%
Other values (777) 7409
73.4%
2023-12-13T09:20:35.477208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3671
 
6.2%
스 2790
 
4.7%
타 2616
 
4.4%
비 2046
 
3.5%
서 2014
 
3.4%
· 1420
 
2.4%
품 1226
 
2.1%
류 1193
 
2.0%
용 1121
 
1.9%
여 1072
 
1.8%
Other values (460) 39941
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55695
94.2%
Other Punctuation 1425
 
2.4%
Close Punctuation 751
 
1.3%
Open Punctuation 751
 
1.3%
Uppercase Letter 369
 
0.6%
Space Separator 108
 
0.2%
Decimal Number 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3671
 
6.6%
스 2790
 
5.0%
타 2616
 
4.7%
비 2046
 
3.7%
서 2014
 
3.6%
품 1226
 
2.2%
류 1193
 
2.1%
용 1121
 
2.0%
여 1072
 
1.9%
동 889
 
1.6%
Other values (439) 37057
66.5%
Uppercase Letter
ValueCountFrequency (%)
V 125
33.9%
T 121
32.8%
C 26
 
7.0%
P 25
 
6.8%
D 22
 
6.0%
G 11
 
3.0%
I 8
 
2.2%
L 7
 
1.9%
S 6
 
1.6%
A 5
 
1.4%
Other values (5) 13
 
3.5%
Other Punctuation
ValueCountFrequency (%)
· 1420
99.6%
/ 5
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 751
100.0%
Open Punctuation
ValueCountFrequency (%)
( 751
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Decimal Number
ValueCountFrequency (%)
2 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55695
94.2%
Common 3046
 
5.2%
Latin 369
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3671
 
6.6%
스 2790
 
5.0%
타 2616
 
4.7%
비 2046
 
3.7%
서 2014
 
3.6%
품 1226
 
2.2%
류 1193
 
2.1%
용 1121
 
2.0%
여 1072
 
1.9%
동 889
 
1.6%
Other values (439) 37057
66.5%
Latin
ValueCountFrequency (%)
V 125
33.9%
T 121
32.8%
C 26
 
7.0%
P 25
 
6.8%
D 22
 
6.0%
G 11
 
3.0%
I 8
 
2.2%
L 7
 
1.9%
S 6
 
1.6%
A 5
 
1.4%
Other values (5) 13
 
3.5%
Common
ValueCountFrequency (%)
· 1420
46.6%
) 751
24.7%
( 751
24.7%
108
 
3.5%
2 11
 
0.4%
/ 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55695
94.2%
ASCII 1995
 
3.4%
None 1420
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3671
 
6.6%
스 2790
 
5.0%
타 2616
 
4.7%
비 2046
 
3.7%
서 2014
 
3.6%
품 1226
 
2.2%
류 1193
 
2.1%
용 1121
 
2.0%
여 1072
 
1.9%
동 889
 
1.6%
Other values (439) 37057
66.5%
None
ValueCountFrequency (%)
· 1420
100.0%
ASCII
ValueCountFrequency (%)
) 751
37.6%
( 751
37.6%
V 125
 
6.3%
T 121
 
6.1%
108
 
5.4%
C 26
 
1.3%
P 25
 
1.3%
D 22
 
1.1%
2 11
 
0.6%
G 11
 
0.6%
Other values (10) 44
 
2.2%

사건제목(ACCIDENT_TITLE)
Text

Distinct9823
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:20:35.747003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length198
Median length66
Mean length21.6257
Min length2

Characters and Unicode

Total characters216257
Distinct characters1119
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9730 ?
Unique (%)97.3%

Sample

1st row자동차핸들갈라져있는하자발생무상수리요청
2nd row해외여행 계약후 부모님의 위독하심으로 해제 경우 상담
3rd row피해구제 신청방법 알고 싶다고 함
4th row타이어 결제 카드변경 요청의 건
5th rowLG전자 TV A/S 관련 민원
ValueCountFrequency (%)
문의 2763
 
5.1%
환불 1084
 
2.0%
후 699
 
1.3%
요청 692
 
1.3%
관련 582
 
1.1%
건 579
 
1.1%
취소 550
 
1.0%
인한 525
 
1.0%
위약금 471
 
0.9%
요구 419
 
0.8%
Other values (15267) 46269
84.7%
2023-12-13T09:20:36.161540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48030
 
22.2%
의 4762
 
2.2%
문 4214
 
1.9%
불 3204
 
1.5%
지 3124
 
1.4%
로 2985
 
1.4%
구 2788
 
1.3%
환 2765
 
1.3%
요 2706
 
1.3%
이 2686
 
1.2%
Other values (1109) 138993
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163039
75.4%
Space Separator 48036
 
22.2%
Decimal Number 1757
 
0.8%
Other Punctuation 995
 
0.5%
Uppercase Letter 893
 
0.4%
Close Punctuation 512
 
0.2%
Open Punctuation 431
 
0.2%
Lowercase Letter 402
 
0.2%
Dash Punctuation 103
 
< 0.1%
Math Symbol 86
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4762
 
2.9%
문 4214
 
2.6%
불 3204
 
2.0%
지 3124
 
1.9%
로 2985
 
1.8%
구 2788
 
1.7%
환 2765
 
1.7%
요 2706
 
1.7%
이 2686
 
1.6%
한 2547
 
1.6%
Other values (1021) 131258
80.5%
Uppercase Letter
ValueCountFrequency (%)
T 169
18.9%
S 138
15.5%
A 107
12.0%
V 103
11.5%
L 65
 
7.3%
G 65
 
7.3%
K 61
 
6.8%
P 35
 
3.9%
C 32
 
3.6%
D 17
 
1.9%
Other values (15) 101
11.3%
Lowercase Letter
ValueCountFrequency (%)
s 85
21.1%
a 65
16.2%
t 63
15.7%
v 40
10.0%
k 27
 
6.7%
c 19
 
4.7%
p 18
 
4.5%
g 13
 
3.2%
l 13
 
3.2%
e 9
 
2.2%
Other values (14) 50
12.4%
Other Punctuation
ValueCountFrequency (%)
. 624
62.7%
/ 223
 
22.4%
* 42
 
4.2%
? 42
 
4.2%
% 29
 
2.9%
! 10
 
1.0%
' 8
 
0.8%
: 5
 
0.5%
‰ 4
 
0.4%
; 3
 
0.3%
Other values (4) 5
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 545
31.0%
3 247
14.1%
0 245
13.9%
2 229
13.0%
9 152
 
8.7%
5 139
 
7.9%
4 68
 
3.9%
7 52
 
3.0%
6 43
 
2.4%
8 37
 
2.1%
Math Symbol
ValueCountFrequency (%)
> 30
34.9%
< 22
25.6%
+ 21
24.4%
~ 9
 
10.5%
= 4
 
4.7%
Close Punctuation
ValueCountFrequency (%)
) 418
81.6%
] 93
 
18.2%
） 1
 
0.2%
Space Separator
ValueCountFrequency (%)
48030
> 99.9%
　 6
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 341
79.1%
[ 90
 
20.9%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163037
75.4%
Common 51923
 
24.0%
Latin 1295
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4762
 
2.9%
문 4214
 
2.6%
불 3204
 
2.0%
지 3124
 
1.9%
로 2985
 
1.8%
구 2788
 
1.7%
환 2765
 
1.7%
요 2706
 
1.7%
이 2686
 
1.6%
한 2547
 
1.6%
Other values (1020) 131256
80.5%
Latin
ValueCountFrequency (%)
T 169
13.1%
S 138
 
10.7%
A 107
 
8.3%
V 103
 
8.0%
s 85
 
6.6%
a 65
 
5.0%
L 65
 
5.0%
G 65
 
5.0%
t 63
 
4.9%
K 61
 
4.7%
Other values (39) 374
28.9%
Common
ValueCountFrequency (%)
48030
92.5%
. 624
 
1.2%
1 545
 
1.0%
) 418
 
0.8%
( 341
 
0.7%
3 247
 
0.5%
0 245
 
0.5%
2 229
 
0.4%
/ 223
 
0.4%
9 152
 
0.3%
Other values (29) 869
 
1.7%
Han
ValueCountFrequency (%)
件 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163022
75.4%
ASCII 53205
 
24.6%
Compat Jamo 15
 
< 0.1%
None 8
 
< 0.1%
Punctuation 5
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48030
90.3%
. 624
 
1.2%
1 545
 
1.0%
) 418
 
0.8%
( 341
 
0.6%
3 247
 
0.5%
0 245
 
0.5%
2 229
 
0.4%
/ 223
 
0.4%
T 169
 
0.3%
Other values (73) 2134
 
4.0%
Hangul
ValueCountFrequency (%)
의 4762
 
2.9%
문 4214
 
2.6%
불 3204
 
2.0%
지 3124
 
1.9%
로 2985
 
1.8%
구 2788
 
1.7%
환 2765
 
1.7%
요 2706
 
1.7%
이 2686
 
1.6%
한 2547
 
1.6%
Other values (1012) 131241
80.5%
None
ValueCountFrequency (%)
　 6
75.0%
） 1
 
12.5%
． 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㅣ 4
26.7%
ㅇ 3
20.0%
ㅏ 2
13.3%
ㅡ 2
13.3%
ㅅ 1
 
6.7%
ㅜ 1
 
6.7%
ㅈ 1
 
6.7%
ㅂ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
‰ 4
80.0%
’ 1
 
20.0%
CJK
ValueCountFrequency (%)
件 2
100.0%

처리결과코드(PRCS_RESULT_CODE)
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean530.3772
Minimum401
Maximum612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:20:36.261273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum401
5-th percentile501
Q1502
median509
Q3527
95-th percentile610
Maximum612
Range211
Interquartile range (IQR)25

Descriptive statistics

Standard deviation41.680761
Coefficient of variation (CV)0.078587015
Kurtosis-0.37893973
Mean530.3772
Median Absolute Deviation (MAD)8
Skewness1.1841637
Sum5303772
Variance1737.2858
MonotonicityNot monotonic
2023-12-13T09:20:36.347623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
509 2438
24.4%
501 2125
21.2%
527 1091
10.9%
502 1051
10.5%
610 669
 
6.7%
603 623
 
6.2%
605 286
 
2.9%
505 248
 
2.5%
510 214
 
2.1%
504 210
 
2.1%
Other values (14) 1045
10.4%
ValueCountFrequency (%)
401 5
 
0.1%
501 2125
21.2%
502 1051
10.5%
504 210
 
2.1%
505 248
 
2.5%
506 27
 
0.3%
507 121
 
1.2%
509 2438
24.4%
510 214
 
2.1%
511 113
 
1.1%
ValueCountFrequency (%)
612 8
 
0.1%
610 669
6.7%
609 74
 
0.7%
608 79
 
0.8%
607 91
 
0.9%
606 56
 
0.6%
605 286
2.9%
604 208
 
2.1%
603 623
6.2%
602 74
 
0.7%

처리결과명(PRCS_RESULT_NAME)
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타정보제공
2438 
분쟁해결기준설명
2125 
피해구제접수안내
1091 
법.제도설명
1051 
합의불성립
669 
Other values (19)
2626 

Length

Max length11
Median length9
Mean length6.3744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row합의불성립
2nd row법.제도설명
3rd row법.제도설명
4th row법.제도설명
5th row기타정보제공

Common Values

ValueCountFrequency (%)
기타정보제공 2438
24.4%
분쟁해결기준설명 2125
21.2%
피해구제접수안내 1091
10.9%
법.제도설명 1051
10.5%
합의불성립 669
 
6.7%
환급 623
 
6.2%
계약해제.해지 286
 
2.9%
시장정보제공 248
 
2.5%
비 소비자상담처리 214
 
2.1%
상품정보제공 210
 
2.1%
Other values (14) 1045
10.4%

Length

2023-12-13T09:20:36.437711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타정보제공 2438
23.9%
분쟁해결기준설명 2125
20.8%
피해구제접수안내 1091
10.7%
법.제도설명 1051
10.3%
합의불성립 669
 
6.5%
환급 623
 
6.1%
계약해제.해지 286
 
2.8%
시장정보제공 248
 
2.4%
비 214
 
2.1%
소비자상담처리 214
 
2.1%
Other values (15) 1255
12.3%

Interactions

2023-12-13T09:20:31.414572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:29.917638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.309824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.673248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.027933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.489728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:29.997093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.389541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.745728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.100257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.558598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.071898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.456168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.817770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.169781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.629716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.151927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.525828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.888267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.241198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.698005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.234593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.599739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:30.956109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:20:31.327162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:20:36.501262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육기관코드(INSTITUTION_CODE)교육기관명(INSTITUTION_NAME)성별코드(GENDER_CODE)성별(GENDER)연령대코드(AGE_GROUP_CODE)연령대명(AGE_GROUP_NAME)지역코드(AREA_CODE)품목코드(ITEM_CODE)처리결과코드(PRCS_RESULT_CODE)처리결과명(PRCS_RESULT_NAME)
교육기관코드(INSTITUTION_CODE)1.0001.0000.0000.0000.0730.0970.0510.0250.0200.237
교육기관명(INSTITUTION_NAME)1.0001.0000.0660.0660.3490.3780.4690.2340.4380.453
성별코드(GENDER_CODE)0.0000.0661.0001.0000.1250.1680.0250.1930.0550.083
성별(GENDER)0.0000.0661.0001.0000.1250.1680.0250.1930.0550.083
연령대코드(AGE_GROUP_CODE)0.0730.3490.1250.1251.0001.0000.7080.1450.1600.222
연령대명(AGE_GROUP_NAME)0.0970.3780.1680.1681.0001.0000.5720.1390.1720.216
지역코드(AREA_CODE)0.0510.4690.0250.0250.7080.5721.0000.1830.0880.242
품목코드(ITEM_CODE)0.0250.2340.1930.1930.1450.1390.1831.0000.1780.307
처리결과코드(PRCS_RESULT_CODE)0.0200.4380.0550.0550.1600.1720.0880.1781.0001.000
처리결과명(PRCS_RESULT_NAME)0.2370.4530.0830.0830.2220.2160.2420.3071.0001.000
2023-12-13T09:20:36.603614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육기관명(INSTITUTION_NAME)성별코드(GENDER_CODE)성별(GENDER)처리결과명(PRCS_RESULT_NAME)연령대명(AGE_GROUP_NAME)
교육기관명(INSTITUTION_NAME)1.0000.0520.0520.1240.129
성별코드(GENDER_CODE)0.0521.0001.0000.0660.128
성별(GENDER)0.0521.0001.0000.0660.128
처리결과명(PRCS_RESULT_NAME)0.1240.0660.0661.0000.080
연령대명(AGE_GROUP_NAME)0.1290.1280.1280.0801.000
2023-12-13T09:20:36.693305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육기관코드(INSTITUTION_CODE)연령대코드(AGE_GROUP_CODE)지역코드(AREA_CODE)품목코드(ITEM_CODE)처리결과코드(PRCS_RESULT_CODE)교육기관명(INSTITUTION_NAME)성별코드(GENDER_CODE)성별(GENDER)연령대명(AGE_GROUP_NAME)처리결과명(PRCS_RESULT_NAME)
교육기관코드(INSTITUTION_CODE)1.000-0.019-0.021-0.0890.0170.9990.0220.0220.2540.341
연령대코드(AGE_GROUP_CODE)-0.0191.0000.083-0.0280.0400.1370.1290.1291.0000.086
지역코드(AREA_CODE)-0.0210.0831.000-0.0200.0360.2470.0420.0420.4150.114
품목코드(ITEM_CODE)-0.089-0.028-0.0201.000-0.1270.0960.1390.1390.0740.128
처리결과코드(PRCS_RESULT_CODE)0.0170.0400.036-0.1271.0000.2080.0360.0360.0890.999
교육기관명(INSTITUTION_NAME)0.9990.1370.2470.0960.2081.0000.0520.0520.1290.124
성별코드(GENDER_CODE)0.0220.1290.0420.1390.0360.0521.0001.0000.1280.066
성별(GENDER)0.0220.1290.0420.1390.0360.0521.0001.0000.1280.066
연령대명(AGE_GROUP_NAME)0.2541.0000.4150.0740.0890.1290.1280.1281.0000.080
처리결과명(PRCS_RESULT_NAME)0.3410.0860.1140.1280.9990.1240.0660.0660.0801.000

Missing values

2023-12-13T09:20:31.798562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:20:31.960431image/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.
2023-12-13T09:20:32.097995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사건번호(ACCIDENT_NO)등록일자(RCPT_YMD)교육기관코드(INSTITUTION_CODE)교육기관명(INSTITUTION_NAME)성별코드(GENDER_CODE)성별(GENDER)연령대코드(AGE_GROUP_CODE)연령대명(AGE_GROUP_NAME)지역코드(AREA_CODE)지역명(AREA_NAME)품목코드(ITEM_CODE)품목명(ITEM_NAME)사건제목(ACCIDENT_TITLE)처리결과코드(PRCS_RESULT_CODE)처리결과명(PRCS_RESULT_NAME)
388812020-01910652020-03-2641000한국소비자교육원2여성430 - 39세801고양시190699기타자동차부품자동차핸들갈라져있는하자발생무상수리요청610합의불성립
45522020-00222692020-01-1340300녹색소비자연대1남성650 - 59세600대전광역시370102국외여행해외여행 계약후 부모님의 위독하심으로 해제 경우 상담502법.제도설명
543532020-02787062020-05-1241700(사)소비자공익네트워크1남성430 - 39세800경기도350201일반이사운송서비스피해구제 신청방법 알고 싶다고 함502법.제도설명
98002020-00492412020-01-2840300녹색소비자연대2여성430 - 39세203남구190601타이어타이어 결제 카드변경 요청의 건502법.제도설명
161382020-00782452020-02-0740400한국여성소비자연합2여성540 - 49세108금천구200701TVLG전자 TV A/S 관련 민원509기타정보제공
316432020-01638002020-03-1340600소비자교육중앙회2여성650 - 59세600대전광역시490103예식서비스코로나19 확산관련 예식취소시 위약금 관련 문의501분쟁해결기준설명
502442020-02418692020-04-2110000한국소비자원1남성870 - 79세100서울특별시380218치과틀니 보험적용 문의509기타정보제공
231642020-01095112020-02-2041700(사)소비자공익네트워크1남성430 - 39세300대구광역시490104결혼준비대행서비스예식연기 후 예식도우미 인건비 지불책임 문의501분쟁해결기준설명
342532020-01751792020-03-1840500소비자시민모임1남성540 - 49세406서구350104항공여객운송서비스항공권 결항으로 변경 요청하니 과도한 추가요금 부과하여 금액 조정 문의527피해구제접수안내
65022020-00313432020-01-1640400한국여성소비자연합2여성430 - 39세800경기도299999기타미분류물품온라인 구매제품 배송비 부과관련 문의501분쟁해결기준설명
사건번호(ACCIDENT_NO)등록일자(RCPT_YMD)교육기관코드(INSTITUTION_CODE)교육기관명(INSTITUTION_NAME)성별코드(GENDER_CODE)성별(GENDER)연령대코드(AGE_GROUP_CODE)연령대명(AGE_GROUP_NAME)지역코드(AREA_CODE)지역명(AREA_NAME)품목코드(ITEM_CODE)품목명(ITEM_NAME)사건제목(ACCIDENT_TITLE)처리결과코드(PRCS_RESULT_CODE)처리결과명(PRCS_RESULT_NAME)
387862020-01913932020-03-2641100한국소비자연맹2여성430 - 39세1417예천군310102양복(서양식 의복)세탁세탁후 분실한 스카프 배상규정 문의501분쟁해결기준설명
558252020-02756832020-05-1140300녹색소비자연대2여성320 - 29세800경기도499993기타미분류서비스건강검진 서비스 해지 문의502법.제도설명
228132020-01209972020-02-2540400한국여성소비자연합2여성540 - 49세306수성구180414보건위생용품세트마스크 취소 후 미환급 문의527피해구제접수안내
429222020-02279682020-04-1440400한국여성소비자연합2여성430 - 39세800경기도179999기타의류·섬유교환만 가능하고 환불은 불가하다는 의류 매장501분쟁해결기준설명
39712020-00222102020-01-1340400한국여성소비자연합2여성540 - 49세1110서천군500104현물(금기타)금을 팔았는데 계산을 잘못했다고 하여509기타정보제공
243222020-01147952020-02-2441100한국소비자연맹1남성650 - 59세206부산진구490301외식돌잔치 부페 코로나19로 취소시 위약금 조정문의 2509기타정보제공
535092020-02772472020-05-1230800경기도청2여성430 - 39세823광주시110502분유쿠팡에서 일방적 주문 취소527피해구제접수안내
233502020-01182302020-02-2440400한국여성소비자연합1남성430 - 39세1304순천시180399기타일반화장품아리따움 화장품 포인트 다른분에게 차감 신고505시장정보제공
214402020-01024972020-02-1841100한국소비자연맹1남성1265 - 69세1410포항시360303기타이동통신부당한 인터넷 위약금 환불요청 7603환급
324602020-01601512020-03-1141700(사)소비자공익네트워크2여성540 - 49세400인천광역시170801이불·요이불 단순변심으로 인한 반품요청603환급