Overview

Dataset statistics

Number of variables4
Number of observations621
Missing cells48
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory34.2 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description공정거래위원회의 소비자 민원학습에 대한 데이터로, 소비자의 민원을 상담하는 중 소비자에게 안내한 법령에대한 데이터에 대한 최근 5개년도 소비자 민원상담 데이터 중 법령정보가 포함된 데이터 입니다. 이 데이터는 법령정보를 포함하고 있습니다.
Author공정거래위원회
URLhttps://www.data.go.kr/data/15098356/fileData.do

Alerts

법령코드(LEGISLATION_CODE) is highly overall correlated with 상위코드(PARENT_CODE) and 1 other fieldsHigh correlation
상위코드(PARENT_CODE) is highly overall correlated with 법령코드(LEGISLATION_CODE) and 1 other fieldsHigh correlation
상위법령명(LEGISLATION_NAME) is highly overall correlated with 법령코드(LEGISLATION_CODE) and 1 other fieldsHigh correlation
상위코드(PARENT_CODE) has 48 (7.7%) missing valuesMissing
법령코드(LEGISLATION_CODE) has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:51:21.118504
Analysis finished2023-12-12 21:51:21.959425
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법령코드(LEGISLATION_CODE)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct621
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3218741.6
Minimum100000
Maximum99999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-13T06:51:22.046755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile400060
Q11600010
median2900050
Q34600030
95-th percentile5600020
Maximum99999999
Range99899999
Interquartile range (IQR)3000020

Descriptive statistics

Standard deviation4231242.4
Coefficient of variation (CV)1.3145642
Kurtosis442.79439
Mean3218741.6
Median Absolute Deviation (MAD)1499940
Skewness19.348156
Sum1.9988385 × 109
Variance1.7903412 × 1013
MonotonicityNot monotonic
2023-12-13T06:51:22.215557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500000 1
 
0.2%
4300090 1
 
0.2%
4300020 1
 
0.2%
4300030 1
 
0.2%
4300040 1
 
0.2%
4300050 1
 
0.2%
4300060 1
 
0.2%
4300070 1
 
0.2%
4300080 1
 
0.2%
4400010 1
 
0.2%
Other values (611) 611
98.4%
ValueCountFrequency (%)
100000 1
0.2%
100010 1
0.2%
100020 1
0.2%
100030 1
0.2%
100040 1
0.2%
100050 1
0.2%
100060 1
0.2%
100070 1
0.2%
100080 1
0.2%
100090 1
0.2%
ValueCountFrequency (%)
99999999 1
0.2%
6100040 1
0.2%
6100030 1
0.2%
6100020 1
0.2%
6100010 1
0.2%
6000060 1
0.2%
6000050 1
0.2%
6000040 1
0.2%
6000030 1
0.2%
6000020 1
0.2%

법령명(LEGISLATION_NAME)
Text

Distinct566
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-13T06:51:22.505439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length56
Mean length48.457327
Min length2

Characters and Unicode

Total characters30092
Distinct characters143
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)86.0%

Sample

1st row체육시설의 설치.이용에 관한 법률
2nd row학원의 설립.운영 및 과외교습에 관한 법률
3rd row금융위원회의 설치 등에 관한 법률
4th row도로교통법
5th row콘텐츠산업 진흥법
ValueCountFrequency (%)
법률 585
 
10.0%
시행 573
 
9.8%
일부개정 386
 
6.6%
2020 285
 
4.9%
2018 227
 
3.9%
12 223
 
3.8%
타법개정 182
 
3.1%
2017 164
 
2.8%
1 157
 
2.7%
3 149
 
2.5%
Other values (587) 2921
49.9%
2023-12-13T06:51:22.953598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6103
20.3%
. 3443
 
11.4%
1 2649
 
8.8%
2 2576
 
8.6%
0 1768
 
5.9%
， 1146
 
3.8%
[ 1145
 
3.8%
] 1138
 
3.8%
법 798
 
2.7%
7 645
 
2.1%
Other values (133) 8681
28.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10949
36.4%
Other Letter 6168
20.5%
Space Separator 6103
20.3%
Other Punctuation 4589
15.2%
Open Punctuation 1145
 
3.8%
Close Punctuation 1138
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 798
12.9%
률 585
9.5%
제 579
9.4%
정 579
9.4%
호 578
9.4%
시 576
9.3%
개 574
9.3%
행 574
9.3%
부 391
6.3%
일 386
6.3%
Other values (118) 548
8.9%
Decimal Number
ValueCountFrequency (%)
1 2649
24.2%
2 2576
23.5%
0 1768
16.1%
7 645
 
5.9%
6 620
 
5.7%
8 588
 
5.4%
9 566
 
5.2%
3 539
 
4.9%
4 537
 
4.9%
5 461
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3443
75.0%
， 1146
 
25.0%
Space Separator
ValueCountFrequency (%)
6103
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1145
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23924
79.5%
Hangul 6168
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 798
12.9%
률 585
9.5%
제 579
9.4%
정 579
9.4%
호 578
9.4%
시 576
9.3%
개 574
9.3%
행 574
9.3%
부 391
6.3%
일 386
6.3%
Other values (118) 548
8.9%
Common
ValueCountFrequency (%)
6103
25.5%
. 3443
14.4%
1 2649
11.1%
2 2576
10.8%
0 1768
 
7.4%
， 1146
 
4.8%
[ 1145
 
4.8%
] 1138
 
4.8%
7 645
 
2.7%
6 620
 
2.6%
Other values (5) 2691
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22778
75.7%
Hangul 6168
 
20.5%
None 1146
 
3.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6103
26.8%
. 3443
15.1%
1 2649
11.6%
2 2576
11.3%
0 1768
 
7.8%
[ 1145
 
5.0%
] 1138
 
5.0%
7 645
 
2.8%
6 620
 
2.7%
8 588
 
2.6%
Other values (4) 2103
 
9.2%
None
ValueCountFrequency (%)
， 1146
100.0%
Hangul
ValueCountFrequency (%)
법 798
12.9%
률 585
9.5%
제 579
9.4%
정 579
9.4%
호 578
9.4%
시 576
9.3%
개 574
9.3%
행 574
9.3%
부 391
6.3%
일 386
6.3%
Other values (118) 548
8.9%

상위코드(PARENT_CODE)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct61
Distinct (%)10.6%
Missing48
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean3069284.5
Minimum100000
Maximum6100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-13T06:51:23.109963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile500000
Q11700000
median2900000
Q34600000
95-th percentile5600000
Maximum6100000
Range6000000
Interquartile range (IQR)2900000

Descriptive statistics

Standard deviation1656898.8
Coefficient of variation (CV)0.53983227
Kurtosis-1.1597525
Mean3069284.5
Median Absolute Deviation (MAD)1400000
Skewness0.044868538
Sum1.7587 × 109
Variance2.7453136 × 1012
MonotonicityNot monotonic
2023-12-13T06:51:23.249860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5400000 23
 
3.7%
5200000 21
 
3.4%
2300000 21
 
3.4%
1300000 20
 
3.2%
2800000 20
 
3.2%
3400000 18
 
2.9%
4700000 18
 
2.9%
1500000 18
 
2.9%
2200000 15
 
2.4%
4100000 14
 
2.3%
Other values (51) 385
62.0%
(Missing) 48
 
7.7%
ValueCountFrequency (%)
100000 9
1.4%
200000 7
1.1%
300000 6
1.0%
400000 6
1.0%
500000 4
 
0.6%
600000 10
1.6%
700000 3
 
0.5%
800000 10
1.6%
900000 8
1.3%
1000000 2
 
0.3%
ValueCountFrequency (%)
6100000 4
 
0.6%
6000000 6
 
1.0%
5900000 3
 
0.5%
5800000 8
 
1.3%
5700000 5
 
0.8%
5600000 4
 
0.6%
5500000 13
2.1%
5400000 23
3.7%
5300000 3
 
0.5%
5200000 21
3.4%

상위법령명(LEGISLATION_NAME)
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
<NA>
147 
여객자동차 운수사업법
 
23
자동차관리법
 
21
민간임대주택에 관한 특별법
 
21
도로교통법
 
20
Other values (41)
389 

Length

Max length26
Median length19
Mean length8.689211
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 147
23.7%
여객자동차 운수사업법 23
 
3.7%
자동차관리법 21
 
3.4%
민간임대주택에 관한 특별법 21
 
3.4%
도로교통법 20
 
3.2%
학원의 설립.운영 및 과외교습에 관한 법률 20
 
3.2%
보험업법 20
 
3.2%
관광진흥법 18
 
2.9%
주택법 18
 
2.9%
여신전문금융업법 14
 
2.3%
Other values (36) 299
48.1%

Length

2023-12-13T06:51:23.388345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 147
 
11.9%
관한 140
 
11.4%
법률 119
 
9.7%
및 59
 
4.8%
특별법 28
 
2.3%
등에 28
 
2.3%
관리에 23
 
1.9%
여객자동차 23
 
1.9%
운수사업법 23
 
1.9%
전기통신사업법 21
 
1.7%
Other values (64) 622
50.4%

Interactions

2023-12-13T06:51:21.581063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:51:21.334753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:51:21.674880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:51:21.452160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:51:23.464365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법령코드(LEGISLATION_CODE)상위코드(PARENT_CODE)상위법령명(LEGISLATION_NAME)
법령코드(LEGISLATION_CODE)1.000NaNNaN
상위코드(PARENT_CODE)NaN1.0000.998
상위법령명(LEGISLATION_NAME)NaN0.9981.000
2023-12-13T06:51:23.552184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법령코드(LEGISLATION_CODE)상위코드(PARENT_CODE)상위법령명(LEGISLATION_NAME)
법령코드(LEGISLATION_CODE)1.0001.0001.000
상위코드(PARENT_CODE)1.0001.0000.945
상위법령명(LEGISLATION_NAME)1.0000.9451.000

Missing values

2023-12-13T06:51:21.804309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:51:21.911521image/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

법령코드(LEGISLATION_CODE)법령명(LEGISLATION_NAME)상위코드(PARENT_CODE)상위법령명(LEGISLATION_NAME)
02500000체육시설의 설치.이용에 관한 법률<NA><NA>
12600000학원의 설립.운영 및 과외교습에 관한 법률<NA><NA>
22700000금융위원회의 설치 등에 관한 법률<NA><NA>
32800000도로교통법<NA><NA>
42900000콘텐츠산업 진흥법<NA><NA>
53000000주차장법<NA><NA>
63100000표시.광고의 공정화에 관한 법률<NA><NA>
73300000이동통신단말장치 유통구조 개선에 관한 법률<NA><NA>
83400000주택법<NA><NA>
92000010[시행 2021. 6. 23.] [법률 제17657호， 2020. 12. 22.， 일부개정]2000000<NA>
법령코드(LEGISLATION_CODE)법령명(LEGISLATION_NAME)상위코드(PARENT_CODE)상위법령명(LEGISLATION_NAME)
6115500010[시행 2021. 7. 27.] [법률 제18363호， 2021. 7. 27.， 일부개정]5500000식품위생법
6125500020[시행 2021. 1. 1.] [법률 제17761호， 2020. 12. 29.， 타법개정]5500000식품위생법
6135500030[시행 2020. 9. 12.] [법률 제17472호， 2020. 8. 11.， 타법개정]5500000식품위생법
6145500040[시행 2020. 3. 24.] [법률 제17091호， 2020. 3. 24.， 타법개정]5500000식품위생법
6155500050[시행 2021. 1. 1.] [법률 제16717호， 2019. 12. 3.， 일부개정]5500000식품위생법
6165500060[시행 2020. 8. 28.] [법률 제16568호， 2019. 8. 27.， 타법개정]5500000식품위생법
6175500070[시행 2019. 11. 1.] [법률 제16431호， 2019. 4. 30.， 일부개정]5500000식품위생법
6185500080[시행 2019. 7. 16.] [법률 제16296호， 2019. 1. 15.， 일부개정]5500000식품위생법
6195500090[시행 2019. 6. 12.] [법률 제15943호， 2018. 12. 11.， 일부개정]5500000식품위생법
6205500100[시행 2019. 3. 14.] [법률 제15484호， 2018. 3. 13.， 일부개정]5500000식품위생법