Overview

Dataset statistics

Number of variables6
Number of observations562
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory49.2 B

Variable types

Categorical2
Numeric1
DateTime1
Text2

Dataset

Description행정심판 집행 정지 결정 결과 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=99WZV7DBKTAEJOHL6S1U19387761&infSeq=1

Alerts

신청결과구분명 is highly imbalanced (58.5%)Imbalance
신청번호명 has unique valuesUnique

Reproduction

Analysis started2024-04-14 03:16:12.242027
Analysis finished2024-04-14 03:16:13.831480
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
안산시
51 
화성시
46 
용인시
43 
수원시
42 
고양시
37 
Other values (25)
343 

Length

Max length4
Median length3
Mean length3.1263345
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 51
 
9.1%
화성시 46
 
8.2%
용인시 43
 
7.7%
수원시 42
 
7.5%
고양시 37
 
6.6%
남양주시 36
 
6.4%
의정부시 31
 
5.5%
시흥시 30
 
5.3%
부천시 26
 
4.6%
성남시 24
 
4.3%
Other values (20) 196
34.9%

Length

2024-04-14T12:16:13.884790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 51
 
9.1%
화성시 46
 
8.2%
용인시 43
 
7.7%
수원시 42
 
7.5%
고양시 37
 
6.6%
남양주시 36
 
6.4%
의정부시 31
 
5.5%
시흥시 30
 
5.3%
부천시 26
 
4.6%
성남시 24
 
4.3%
Other values (20) 196
34.9%

신청번호명
Real number (ℝ)

UNIQUE 

Distinct562
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.5
Minimum1
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-04-14T12:16:13.979837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.05
Q1141.25
median281.5
Q3421.75
95-th percentile533.95
Maximum562
Range561
Interquartile range (IQR)280.5

Descriptive statistics

Standard deviation162.3797
Coefficient of variation (CV)0.5768373
Kurtosis-1.2
Mean281.5
Median Absolute Deviation (MAD)140.5
Skewness0
Sum158203
Variance26367.167
MonotonicityNot monotonic
2024-04-14T12:16:14.086941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195 1
 
0.2%
102 1
 
0.2%
489 1
 
0.2%
356 1
 
0.2%
525 1
 
0.2%
128 1
 
0.2%
338 1
 
0.2%
504 1
 
0.2%
269 1
 
0.2%
397 1
 
0.2%
Other values (552) 552
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
562 1
0.2%
561 1
0.2%
560 1
0.2%
559 1
0.2%
558 1
0.2%
557 1
0.2%
556 1
0.2%
555 1
0.2%
554 1
0.2%
553 1
0.2%

접수일자
Date

Distinct182
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2023-01-02 00:00:00
Maximum2023-10-11 00:00:00
2024-04-14T12:16:14.193133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:16:14.296947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사건설명
Text

Distinct121
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-14T12:16:14.455900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length20.409253
Min length11

Characters and Unicode

Total characters11470
Distinct characters169
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)15.3%

Sample

1st row자동차관리법위반 사업정지처분 등 집행정지신청
2nd row건축법위반 이행강제금 부과처분 취소청구
3rd row음악산업법위반 영업정지처분 집행정지신청
4th row일반음식점 영업정지처분 집행정지신청
5th row건설산업기본법위반 영업정지처분 집행정지신청
ValueCountFrequency (%)
집행정지신청 544
30.3%
영업정지처분 388
21.6%
일반음식점 285
15.9%
부과처분 64
 
3.6%
과징금 46
 
2.6%
식품위생법위반 38
 
2.1%
게임산업법위반 30
 
1.7%
음악산업법위반 28
 
1.6%
등 19
 
1.1%
담배사업법위반 16
 
0.9%
Other values (147) 339
18.9%
2024-04-14T12:16:14.725064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1235
 
10.8%
정 1012
 
8.8%
지 992
 
8.6%
행 580
 
5.1%
청 564
 
4.9%
집 557
 
4.9%
신 549
 
4.8%
분 531
 
4.6%
처 525
 
4.6%
업 518
 
4.5%
Other values (159) 4407
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10223
89.1%
Space Separator 1235
 
10.8%
Decimal Number 6
 
0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 1012
 
9.9%
지 992
 
9.7%
행 580
 
5.7%
청 564
 
5.5%
집 557
 
5.4%
신 549
 
5.4%
분 531
 
5.2%
처 525
 
5.1%
업 518
 
5.1%
반 509
 
5.0%
Other values (148) 3886
38.0%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
1 1
16.7%
4 1
16.7%
9 1
16.7%
7 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
: 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
1235
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10223
89.1%
Common 1245
 
10.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 1012
 
9.9%
지 992
 
9.7%
행 580
 
5.7%
청 564
 
5.5%
집 557
 
5.4%
신 549
 
5.4%
분 531
 
5.2%
처 525
 
5.1%
업 518
 
5.1%
반 509
 
5.0%
Other values (148) 3886
38.0%
Common
ValueCountFrequency (%)
1235
99.2%
5 2
 
0.2%
· 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
: 1
 
0.1%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10223
89.1%
ASCII 1245
 
10.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1235
99.2%
5 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
: 1
 
0.1%
L 1
 
0.1%
+ 1
 
0.1%
F 1
 
0.1%
Hangul
ValueCountFrequency (%)
정 1012
 
9.9%
지 992
 
9.7%
행 580
 
5.7%
청 564
 
5.5%
집 557
 
5.4%
신 549
 
5.4%
분 531
 
5.2%
처 525
 
5.1%
업 518
 
5.1%
반 509
 
5.0%
Other values (148) 3886
38.0%
None
ValueCountFrequency (%)
· 2
100.0%

피청구인명
Text

Distinct73
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-04-14T12:16:14.926029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.4679715
Min length4

Characters and Unicode

Total characters3635
Distinct characters92
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)2.7%

Sample

1st row고양시 일산서구청장
2nd row고양시 일산동구청장
3rd row고양시덕양구청장
4th row고양시 덕양구청장
5th row고양시장
ValueCountFrequency (%)
안산시 46
 
5.6%
수원시 37
 
4.5%
남양주시장 34
 
4.2%
고양시 32
 
3.9%
용인시 32
 
3.9%
화성시 30
 
3.7%
시흥시장 30
 
3.7%
단원구청장 27
 
3.3%
의정부시장 23
 
2.8%
성남시 21
 
2.6%
Other values (77) 505
61.8%
2024-04-14T12:16:15.237391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 594
16.3%
시 586
16.1%
255
 
7.0%
구 201
 
5.5%
청 187
 
5.1%
양 122
 
3.4%
안 105
 
2.9%
산 85
 
2.3%
성 80
 
2.2%
주 79
 
2.2%
Other values (82) 1341
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3374
92.8%
Space Separator 255
 
7.0%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 594
17.6%
시 586
17.4%
구 201
 
6.0%
청 187
 
5.5%
양 122
 
3.6%
안 105
 
3.1%
산 85
 
2.5%
성 80
 
2.4%
주 79
 
2.3%
원 79
 
2.3%
Other values (78) 1256
37.2%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
3 2
33.3%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3374
92.8%
Common 261
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 594
17.6%
시 586
17.4%
구 201
 
6.0%
청 187
 
5.5%
양 122
 
3.6%
안 105
 
3.1%
산 85
 
2.5%
성 80
 
2.4%
주 79
 
2.3%
원 79
 
2.3%
Other values (78) 1256
37.2%
Common
ValueCountFrequency (%)
255
97.7%
2 3
 
1.1%
3 2
 
0.8%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3374
92.8%
ASCII 261
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 594
17.6%
시 586
17.4%
구 201
 
6.0%
청 187
 
5.5%
양 122
 
3.6%
안 105
 
3.1%
산 85
 
2.5%
성 80
 
2.4%
주 79
 
2.3%
원 79
 
2.3%
Other values (78) 1256
37.2%
ASCII
ValueCountFrequency (%)
255
97.7%
2 3
 
1.1%
3 2
 
0.8%
1 1
 
0.4%

신청결과구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
인용
422 
기각
125 
일부인용
 
10
취하
 
4
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0391459
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row일부인용
2nd row기각
3rd row인용
4th row인용
5th row인용

Common Values

ValueCountFrequency (%)
인용 422
75.1%
기각 125
 
22.2%
일부인용 10
 
1.8%
취하 4
 
0.7%
<NA> 1
 
0.2%

Length

2024-04-14T12:16:15.355283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:16:15.448511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인용 422
75.1%
기각 125
 
22.2%
일부인용 10
 
1.8%
취하 4
 
0.7%
na 1
 
0.2%

Interactions

2024-04-14T12:16:13.571236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:16:15.509364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명신청번호명피청구인명신청결과구분명
시군명1.0000.2981.0000.205
신청번호명0.2981.0000.3510.115
피청구인명1.0000.3511.0000.390
신청결과구분명0.2050.1150.3901.000
2024-04-14T12:16:15.585298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청결과구분명시군명
신청결과구분명1.0000.105
시군명0.1051.000
2024-04-14T12:16:15.648798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청번호명시군명신청결과구분명
신청번호명1.0000.0970.069
시군명0.0971.0000.105
신청결과구분명0.0690.1051.000

Missing values

2024-04-14T12:16:13.700927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:16:13.794019image/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

시군명신청번호명접수일자사건설명피청구인명신청결과구분명
0고양시1952023-04-04자동차관리법위반 사업정지처분 등 집행정지신청고양시 일산서구청장일부인용
1고양시1852023-03-29건축법위반 이행강제금 부과처분 취소청구고양시 일산동구청장기각
2고양시4362023-08-02음악산업법위반 영업정지처분 집행정지신청고양시덕양구청장인용
3고양시5092023-09-05일반음식점 영업정지처분 집행정지신청고양시 덕양구청장인용
4고양시3802023-06-28건설산업기본법위반 영업정지처분 집행정지신청고양시장인용
5고양시5222023-09-14개발제한구역법위반 이행강제금 부과처분 집행정지신청고양시 덕양구청장기각
6고양시3692023-06-23일반음식점 영업정지처분 집행정지신청고양시 일산서구청장인용
7고양시3852023-06-30일반음식점 영업정지처분 집행정지신청고양시 덕양구청장인용
8고양시3662023-06-22일반음식점 영업정지처분 집행정지신청고양시 일산서구청장인용
9고양시3932023-07-05일반음식점 영업정지처분 집행정지신청고양시 일산동구청장인용
시군명신청번호명접수일자사건설명피청구인명신청결과구분명
552화성시5232023-09-15일반음식점 영업정지처분 집행정지신청화성시장인용
553화성시2182023-04-12일반음식점 영업정지처분 집행정지신청화성시 동탄출장소장인용
554화성시2152023-04-11일반음식점 영업정지처분 집행정지신청화성시 동탄출장소장인용
555화성시2082023-04-07일반음식점 과징금 부과처분 집행정지신청화성시장기각
556화성시2072023-04-06일반음식점 영업정지처분 집행정지신청화성시 동탄출장소장인용
557화성시4242023-07-25축산물위생관리법위반 영업정지처분 집행정지신청화성시 동부출장소장인용
558화성시4232023-07-25축산물위생관리법위반 영업정지처분 집행정지신청화성시 동부출장소장인용
559화성시5302023-09-18식품위생법위반 영업정지처분 집행정지신청화성시 동탄출장소장인용
560화성시3942023-07-06일반음식점 영업정지처분 집행정지신청화성시 동부출장소장인용
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