Overview

Dataset statistics

Number of variables23
Number of observations2950
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory593.6 KiB
Average record size in memory206.0 B

Variable types

Numeric14
Categorical9

Dataset

Description년도,월,자치구명,자치구 코드,신규등록 수,변경등록 수,휴업신고 수,폐업신고 수,양도양수 수,상속신고 수,합병신고 수,타도시 이관 수,업소 상태 수,재발급 등 기타,변경등록 총 수,사업정지 30일 수,사업정지 40일 수,사업정지 60일 수,벌금 수,과태료 수,과징금 수,등록취소 수,행정처분 총 수
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13287/S/1/datasetView.do

Alerts

상속신고 수 has constant value ""Constant
휴업신고 수 is highly imbalanced (93.5%)Imbalance
양도양수 수 is highly imbalanced (94.9%)Imbalance
합병신고 수 is highly imbalanced (96.8%)Imbalance
타도시 이관 수 is highly imbalanced (77.3%)Imbalance
벌금 수 is highly imbalanced (97.7%)Imbalance
과태료 수 is highly imbalanced (97.9%)Imbalance
과징금 수 is highly imbalanced (96.4%)Imbalance
사업정지 40일 수 is highly skewed (γ1 = 30.65671568)Skewed
변경등록 수 has 1263 (42.8%) zerosZeros
폐업신고 수 has 2426 (82.2%) zerosZeros
업소 상태 수 has 2552 (86.5%) zerosZeros
재발급 등 기타 has 2003 (67.9%) zerosZeros
변경등록 총 수 has 1010 (34.2%) zerosZeros
사업정지 30일 수 has 2778 (94.2%) zerosZeros
사업정지 40일 수 has 2938 (99.6%) zerosZeros
사업정지 60일 수 has 2788 (94.5%) zerosZeros
등록취소 수 has 2697 (91.4%) zerosZeros
행정처분 총 수 has 2400 (81.4%) zerosZeros

Reproduction

Analysis started2024-04-29 16:48:44.467976
Analysis finished2024-04-29 16:48:44.690121
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct33
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.0668
Minimum1992
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:44.754909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1996
Q12002
median2009
Q32016
95-th percentile2022
Maximum2024
Range32
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.4536084
Coefficient of variation (CV)0.0042077289
Kurtosis-1.0670261
Mean2009.0668
Median Absolute Deviation (MAD)7
Skewness-0.062040709
Sum5926747
Variance71.463494
MonotonicityDecreasing
2024-04-30T01:48:44.893084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2008 111
 
3.8%
2012 111
 
3.8%
2010 110
 
3.7%
2017 110
 
3.7%
2001 108
 
3.7%
2013 107
 
3.6%
1997 106
 
3.6%
2015 105
 
3.6%
2009 105
 
3.6%
2005 104
 
3.5%
Other values (23) 1873
63.5%
ValueCountFrequency (%)
1992 28
 
0.9%
1993 43
 
1.5%
1994 28
 
0.9%
1995 28
 
0.9%
1996 63
2.1%
1997 106
3.6%
1998 83
2.8%
1999 103
3.5%
2000 97
3.3%
2001 108
3.7%
ValueCountFrequency (%)
2024 26
 
0.9%
2023 94
3.2%
2022 97
3.3%
2021 103
3.5%
2020 90
3.1%
2019 97
3.3%
2018 90
3.1%
2017 110
3.7%
2016 100
3.4%
2015 105
3.6%

월
Real number (ℝ)

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3861017
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:45.230887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4796911
Coefficient of variation (CV)0.54488502
Kurtosis-1.2447134
Mean6.3861017
Median Absolute Deviation (MAD)3
Skewness0.067468912
Sum18839
Variance12.10825
MonotonicityNot monotonic
2024-04-30T01:48:45.356877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 285
9.7%
4 262
8.9%
2 259
8.8%
5 250
8.5%
12 248
8.4%
1 246
8.3%
7 246
8.3%
11 242
8.2%
10 240
8.1%
8 232
7.9%
Other values (2) 440
14.9%
ValueCountFrequency (%)
1 246
8.3%
2 259
8.8%
3 285
9.7%
4 262
8.9%
5 250
8.5%
6 218
7.4%
7 246
8.3%
8 232
7.9%
9 222
7.5%
10 240
8.1%
ValueCountFrequency (%)
12 248
8.4%
11 242
8.2%
10 240
8.1%
9 222
7.5%
8 232
7.9%
7 246
8.3%
6 218
7.4%
5 250
8.5%
4 262
8.9%
3 285
9.7%

자치구명
Categorical

Distinct25
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
마포구
333 
강서구
332 
중구
311 
강남구
268 
영등포구
260 
Other values (20)
1446 

Length

Max length4
Median length3
Mean length3.0264407
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동대문구
2nd row마포구
3rd row서초구
4th row영등포구
5th row마포구

Common Values

ValueCountFrequency (%)
마포구 333
11.3%
강서구 332
11.3%
중구 311
10.5%
강남구 268
9.1%
영등포구 260
8.8%
종로구 249
 
8.4%
서초구 197
 
6.7%
금천구 150
 
5.1%
송파구 109
 
3.7%
성동구 106
 
3.6%
Other values (15) 635
21.5%

Length

2024-04-30T01:48:45.488094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마포구 333
11.3%
강서구 332
11.3%
중구 311
10.5%
강남구 268
9.1%
영등포구 260
8.8%
종로구 249
 
8.4%
서초구 197
 
6.7%
금천구 150
 
5.1%
송파구 109
 
3.7%
성동구 106
 
3.6%
Other values (15) 635
21.5%

자치구 코드
Real number (ℝ)

Distinct25
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4508535.6
Minimum4040000
Maximum4960000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:45.597400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4040000
5-th percentile4040000
Q14160000
median4600000
Q34720000
95-th percentile4880000
Maximum4960000
Range920000
Interquartile range (IQR)560000

Descriptive statistics

Standard deviation293528.18
Coefficient of variation (CV)0.065104993
Kurtosis-1.2056927
Mean4508535.6
Median Absolute Deviation (MAD)240000
Skewness-0.35460666
Sum1.330018 × 1010
Variance8.6158791 × 1010
MonotonicityNot monotonic
2024-04-30T01:48:45.726741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4520000 333
11.3%
4600000 332
11.3%
4080000 311
10.5%
4880000 268
9.1%
4720000 260
8.8%
4040000 249
 
8.4%
4840000 197
 
6.7%
4680000 150
 
5.1%
4920000 109
 
3.7%
4160000 106
 
3.6%
Other values (15) 635
21.5%
ValueCountFrequency (%)
4040000 249
8.4%
4080000 311
10.5%
4120000 80
 
2.7%
4160000 106
 
3.6%
4200000 36
 
1.2%
4240000 53
 
1.8%
4280000 24
 
0.8%
4320000 29
 
1.0%
4340000 15
 
0.5%
4360000 14
 
0.5%
ValueCountFrequency (%)
4960000 27
 
0.9%
4920000 109
 
3.7%
4880000 268
9.1%
4840000 197
6.7%
4800000 18
 
0.6%
4760000 26
 
0.9%
4720000 260
8.8%
4680000 150
5.1%
4640000 103
 
3.5%
4600000 332
11.3%

신규등록 수
Real number (ℝ)

Distinct17
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8915254
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:45.894216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum44
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8024971
Coefficient of variation (CV)0.95293303
Kurtosis138.34914
Mean1.8915254
Median Absolute Deviation (MAD)0
Skewness8.0648644
Sum5580
Variance3.2489956
MonotonicityNot monotonic
2024-04-30T01:48:46.147540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 1754
59.5%
2 569
 
19.3%
3 301
 
10.2%
4 146
 
4.9%
5 80
 
2.7%
6 57
 
1.9%
7 16
 
0.5%
8 9
 
0.3%
9 5
 
0.2%
10 3
 
0.1%
Other values (7) 10
 
0.3%
ValueCountFrequency (%)
1 1754
59.5%
2 569
 
19.3%
3 301
 
10.2%
4 146
 
4.9%
5 80
 
2.7%
6 57
 
1.9%
7 16
 
0.5%
8 9
 
0.3%
9 5
 
0.2%
10 3
 
0.1%
ValueCountFrequency (%)
44 1
 
< 0.1%
32 1
 
< 0.1%
21 1
 
< 0.1%
17 2
 
0.1%
15 3
 
0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
10 3
 
0.1%
9 5
0.2%
8 9
0.3%

변경등록 수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.440339
Minimum0
Maximum34
Zeros1263
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:46.326738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile9.55
Maximum34
Range34
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3689685
Coefficient of variation (CV)1.380533
Kurtosis5.6348522
Mean2.440339
Median Absolute Deviation (MAD)1
Skewness1.9626288
Sum7199
Variance11.349949
MonotonicityNot monotonic
2024-04-30T01:48:46.442486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 1263
42.8%
1 408
 
13.8%
2 267
 
9.1%
3 221
 
7.5%
4 166
 
5.6%
5 144
 
4.9%
6 116
 
3.9%
7 94
 
3.2%
8 70
 
2.4%
9 53
 
1.8%
Other values (13) 148
 
5.0%
ValueCountFrequency (%)
0 1263
42.8%
1 408
 
13.8%
2 267
 
9.1%
3 221
 
7.5%
4 166
 
5.6%
5 144
 
4.9%
6 116
 
3.9%
7 94
 
3.2%
8 70
 
2.4%
9 53
 
1.8%
ValueCountFrequency (%)
34 1
 
< 0.1%
22 1
 
< 0.1%
20 2
 
0.1%
19 4
 
0.1%
18 1
 
< 0.1%
17 4
 
0.1%
16 3
 
0.1%
15 5
 
0.2%
14 9
0.3%
13 22
0.7%

휴업신고 수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2913 
1
 
34
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2913
98.7%
1 34
 
1.2%
2 3
 
0.1%

Length

2024-04-30T01:48:46.562760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:46.659424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2913
98.7%
1 34
 
1.2%
2 3
 
0.1%

폐업신고 수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23559322
Minimum0
Maximum5
Zeros2426
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:46.740614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.57683986
Coefficient of variation (CV)2.448457
Kurtosis10.906502
Mean0.23559322
Median Absolute Deviation (MAD)0
Skewness3.0105101
Sum695
Variance0.33274422
MonotonicityNot monotonic
2024-04-30T01:48:46.838925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2426
82.2%
1 397
 
13.5%
2 92
 
3.1%
3 27
 
0.9%
4 7
 
0.2%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2426
82.2%
1 397
 
13.5%
2 92
 
3.1%
3 27
 
0.9%
4 7
 
0.2%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 7
 
0.2%
3 27
 
0.9%
2 92
 
3.1%
1 397
 
13.5%
0 2426
82.2%

양도양수 수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2933 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2933
99.4%
1 17
 
0.6%

Length

2024-04-30T01:48:47.023620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:47.170896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2933
99.4%
1 17
 
0.6%

상속신고 수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2950 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2950
100.0%

Length

2024-04-30T01:48:47.301404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:47.435680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2950
100.0%

합병신고 수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2934 
1
 
15
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2934
99.5%
1 15
 
0.5%
2 1
 
< 0.1%

Length

2024-04-30T01:48:47.562523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:47.653245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2934
99.5%
1 15
 
0.5%
2 1
 
< 0.1%

타도시 이관 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2665 
1
 
243
2
 
34
3
 
7
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 2665
90.3%
1 243
 
8.2%
2 34
 
1.2%
3 7
 
0.2%
4 1
 
< 0.1%

Length

2024-04-30T01:48:47.740647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:47.837287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2665
90.3%
1 243
 
8.2%
2 34
 
1.2%
3 7
 
0.2%
4 1
 
< 0.1%

업소 상태 수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30576271
Minimum0
Maximum24
Zeros2552
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:47.941387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2361408
Coefficient of variation (CV)4.0428108
Kurtosis115.73367
Mean0.30576271
Median Absolute Deviation (MAD)0
Skewness8.8928365
Sum902
Variance1.5280441
MonotonicityNot monotonic
2024-04-30T01:48:48.041441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 2552
86.5%
1 218
 
7.4%
2 91
 
3.1%
3 36
 
1.2%
5 16
 
0.5%
6 8
 
0.3%
7 7
 
0.2%
4 7
 
0.2%
10 4
 
0.1%
8 3
 
0.1%
Other values (7) 8
 
0.3%
ValueCountFrequency (%)
0 2552
86.5%
1 218
 
7.4%
2 91
 
3.1%
3 36
 
1.2%
4 7
 
0.2%
5 16
 
0.5%
6 8
 
0.3%
7 7
 
0.2%
8 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
14 2
 
0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
10 4
0.1%
9 1
 
< 0.1%
8 3
0.1%
7 7
0.2%

재발급 등 기타
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8816949
Minimum0
Maximum65
Zeros2003
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:48.155109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile32
Maximum65
Range65
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.446065
Coefficient of variation (CV)2.139844
Kurtosis5.524391
Mean4.8816949
Median Absolute Deviation (MAD)0
Skewness2.4650752
Sum14401
Variance109.12028
MonotonicityNot monotonic
2024-04-30T01:48:48.277550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2003
67.9%
1 110
 
3.7%
2 57
 
1.9%
3 55
 
1.9%
4 47
 
1.6%
5 46
 
1.6%
7 36
 
1.2%
8 31
 
1.1%
6 31
 
1.1%
12 30
 
1.0%
Other values (47) 504
 
17.1%
ValueCountFrequency (%)
0 2003
67.9%
1 110
 
3.7%
2 57
 
1.9%
3 55
 
1.9%
4 47
 
1.6%
5 46
 
1.6%
6 31
 
1.1%
7 36
 
1.2%
8 31
 
1.1%
9 23
 
0.8%
ValueCountFrequency (%)
65 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%
53 1
 
< 0.1%
52 1
 
< 0.1%
51 6
0.2%
50 1
 
< 0.1%
49 1
 
< 0.1%
48 5
0.2%
47 5
0.2%

변경등록 총 수
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0023729
Minimum0
Maximum102
Zeros1010
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:48.416402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile39.55
Maximum102
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.859058
Coefficient of variation (CV)1.6069056
Kurtosis5.4097211
Mean8.0023729
Median Absolute Deviation (MAD)2
Skewness2.3023443
Sum23607
Variance165.35537
MonotonicityNot monotonic
2024-04-30T01:48:48.541171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1010
34.2%
1 268
 
9.1%
2 202
 
6.8%
3 166
 
5.6%
4 140
 
4.7%
5 118
 
4.0%
7 97
 
3.3%
8 92
 
3.1%
6 78
 
2.6%
10 61
 
2.1%
Other values (59) 718
24.3%
ValueCountFrequency (%)
0 1010
34.2%
1 268
 
9.1%
2 202
 
6.8%
3 166
 
5.6%
4 140
 
4.7%
5 118
 
4.0%
6 78
 
2.6%
7 97
 
3.3%
8 92
 
3.1%
9 49
 
1.7%
ValueCountFrequency (%)
102 1
 
< 0.1%
73 1
 
< 0.1%
69 2
0.1%
67 3
0.1%
66 1
 
< 0.1%
65 1
 
< 0.1%
62 4
0.1%
61 2
0.1%
60 1
 
< 0.1%
59 3
0.1%

사업정지 30일 수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17966102
Minimum0
Maximum45
Zeros2778
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:48.662921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3465074
Coefficient of variation (CV)7.4947112
Kurtosis509.98725
Mean0.17966102
Median Absolute Deviation (MAD)0
Skewness19.073627
Sum530
Variance1.8130823
MonotonicityNot monotonic
2024-04-30T01:48:48.756083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 2778
94.2%
1 78
 
2.6%
2 33
 
1.1%
3 23
 
0.8%
4 11
 
0.4%
5 10
 
0.3%
6 5
 
0.2%
9 2
 
0.1%
7 2
 
0.1%
15 2
 
0.1%
Other values (5) 6
 
0.2%
ValueCountFrequency (%)
0 2778
94.2%
1 78
 
2.6%
2 33
 
1.1%
3 23
 
0.8%
4 11
 
0.4%
5 10
 
0.3%
6 5
 
0.2%
7 2
 
0.1%
8 1
 
< 0.1%
9 2
 
0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
27 1
 
< 0.1%
19 2
 
0.1%
15 2
 
0.1%
13 1
 
< 0.1%
9 2
 
0.1%
8 1
 
< 0.1%
7 2
 
0.1%
6 5
0.2%
5 10
0.3%

사업정지 40일 수
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011525424
Minimum0
Maximum10
Zeros2938
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:48.843001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.23982031
Coefficient of variation (CV)20.807938
Kurtosis1124.1095
Mean0.011525424
Median Absolute Deviation (MAD)0
Skewness30.656716
Sum34
Variance0.057513779
MonotonicityNot monotonic
2024-04-30T01:48:48.939789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2938
99.6%
2 4
 
0.1%
1 4
 
0.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 2938
99.6%
1 4
 
0.1%
2 4
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
2 4
 
0.1%
1 4
 
0.1%
0 2938
99.6%

사업정지 60일 수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21152542
Minimum0
Maximum46
Zeros2788
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:49.179677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5778657
Coefficient of variation (CV)7.4594614
Kurtosis327.69684
Mean0.21152542
Median Absolute Deviation (MAD)0
Skewness15.363163
Sum624
Variance2.4896603
MonotonicityNot monotonic
2024-04-30T01:48:49.269402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2788
94.5%
1 64
 
2.2%
2 39
 
1.3%
3 15
 
0.5%
4 9
 
0.3%
5 6
 
0.2%
7 5
 
0.2%
6 4
 
0.1%
8 3
 
0.1%
16 2
 
0.1%
Other values (11) 15
 
0.5%
ValueCountFrequency (%)
0 2788
94.5%
1 64
 
2.2%
2 39
 
1.3%
3 15
 
0.5%
4 9
 
0.3%
5 6
 
0.2%
6 4
 
0.1%
7 5
 
0.2%
8 3
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
46 1
< 0.1%
29 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%
16 2
0.1%
14 2
0.1%
13 1
< 0.1%
11 2
0.1%

벌금 수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2940 
1
 
7
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2940
99.7%
1 7
 
0.2%
2 3
 
0.1%

Length

2024-04-30T01:48:49.367844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:49.455124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2940
99.7%
1 7
 
0.2%
2 3
 
0.1%

과태료 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2937 
1
 
6
2
 
3
4
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2937
99.6%
1 6
 
0.2%
2 3
 
0.1%
4 3
 
0.1%
3 1
 
< 0.1%

Length

2024-04-30T01:48:49.540699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:49.653841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2937
99.6%
1 6
 
0.2%
2 3
 
0.1%
4 3
 
0.1%
3 1
 
< 0.1%

과징금 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
0
2924 
1
 
19
2
 
5
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2924
99.1%
1 19
 
0.6%
2 5
 
0.2%
3 1
 
< 0.1%
4 1
 
< 0.1%

Length

2024-04-30T01:48:49.753384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:48:49.841962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2924
99.1%
1 19
 
0.6%
2 5
 
0.2%
3 1
 
< 0.1%
4 1
 
< 0.1%

등록취소 수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31084746
Minimum0
Maximum46
Zeros2697
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:49.929646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7748815
Coefficient of variation (CV)5.7098152
Kurtosis212.5688
Mean0.31084746
Median Absolute Deviation (MAD)0
Skewness12.079168
Sum917
Variance3.1502044
MonotonicityNot monotonic
2024-04-30T01:48:50.022381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2697
91.4%
1 99
 
3.4%
2 62
 
2.1%
4 20
 
0.7%
3 20
 
0.7%
5 10
 
0.3%
6 9
 
0.3%
7 5
 
0.2%
10 5
 
0.2%
8 4
 
0.1%
Other values (11) 19
 
0.6%
ValueCountFrequency (%)
0 2697
91.4%
1 99
 
3.4%
2 62
 
2.1%
3 20
 
0.7%
4 20
 
0.7%
5 10
 
0.3%
6 9
 
0.3%
7 5
 
0.2%
8 4
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
46 1
 
< 0.1%
28 1
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
18 4
0.1%
17 1
 
< 0.1%
15 1
 
< 0.1%
14 3
0.1%
11 2
0.1%

행정처분 총 수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73932203
Minimum0
Maximum48
Zeros2400
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size26.1 KiB
2024-04-30T01:48:50.122092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7754518
Coefficient of variation (CV)3.7540499
Kurtosis95.986504
Mean0.73932203
Median Absolute Deviation (MAD)0
Skewness8.1180373
Sum2181
Variance7.7031328
MonotonicityNot monotonic
2024-04-30T01:48:50.222913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 2400
81.4%
1 199
 
6.7%
2 114
 
3.9%
3 63
 
2.1%
4 38
 
1.3%
5 33
 
1.1%
6 17
 
0.6%
7 16
 
0.5%
8 13
 
0.4%
10 10
 
0.3%
Other values (20) 47
 
1.6%
ValueCountFrequency (%)
0 2400
81.4%
1 199
 
6.7%
2 114
 
3.9%
3 63
 
2.1%
4 38
 
1.3%
5 33
 
1.1%
6 17
 
0.6%
7 16
 
0.5%
8 13
 
0.4%
9 6
 
0.2%
ValueCountFrequency (%)
48 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 2
0.1%
20 1
< 0.1%

Sample

년도월자치구명자치구 코드신규등록 수변경등록 수휴업신고 수폐업신고 수양도양수 수상속신고 수합병신고 수타도시 이관 수업소 상태 수재발급 등 기타변경등록 총 수사업정지 30일 수사업정지 40일 수사업정지 60일 수벌금 수과태료 수과징금 수등록취소 수행정처분 총 수
020241동대문구42400001000000001100000000
120241마포구45200002140100000385300000000
220241서초구484000016000000091500000000
320241영등포구4720000150000010182400000000
420242마포구45200002110000000405100000000
520242성동구41600001100000008900000000
620241용산구41200001100000001200000000
720241중구4080000220000000252700000000
820242구로구46400001100000004500000000
920242송파구49200002300000006900000000
년도월자치구명자치구 코드신규등록 수변경등록 수휴업신고 수폐업신고 수양도양수 수상속신고 수합병신고 수타도시 이관 수업소 상태 수재발급 등 기타변경등록 총 수사업정지 30일 수사업정지 40일 수사업정지 60일 수벌금 수과태료 수과징금 수등록취소 수행정처분 총 수
294019928종로구40400001000000000000000000
294119929영등포구47200001000000000000000000
294219928강남구48800002000000000000000000
294319928강동구49600001000000000000000000
294419928강서구46000001000000000000000000
294519928마포구45200001000000000000000000
294619928영등포구47200001000000000000000000
294719928중구40800002000000000000000000
294819929강서구46000001000000000000000000
2949199212중구40800002000000000000000000