Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells20573
Missing cells (%)11.4%
Duplicate rows136
Duplicate rows (%)1.4%
Total size in memory1.5 MiB
Average record size in memory159.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-11297/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 136 (1.4%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 위반일자 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 교부번호 and 2 other fieldsHigh correlation
교부번호 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
업종명 is highly imbalanced (62.2%)Imbalance
운영형태 is highly imbalanced (99.5%)Imbalance
소재지도로명 has 6381 (63.8%) missing valuesMissing
처분기간 has 8389 (83.9%) missing valuesMissing
영업장면적(㎡) has 5758 (57.6%) missing valuesMissing
위반일자 is highly skewed (γ1 = -78.13437617)Skewed

Reproduction

Analysis started2024-05-11 02:07:26.951053
Analysis finished2024-05-11 02:07:48.328910
Duration21.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3220000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 10000
100.0%

Length

2024-05-11T02:07:48.584985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:07:48.854763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3910
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20089558
Minimum19810620
Maximum20240416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:07:49.239816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810620
5-th percentile19960905
Q120040311
median20090623
Q320150749
95-th percentile20210617
Maximum20240416
Range429796
Interquartile range (IQR)110438.25

Descriptive statistics

Standard deviation77103.243
Coefficient of variation (CV)0.0038379762
Kurtosis-0.76351305
Mean20089558
Median Absolute Deviation (MAD)59498
Skewness-0.093040807
Sum2.0089558 × 1011
Variance5.9449101 × 109
MonotonicityNot monotonic
2024-05-11T02:07:49.685279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050201 343
 
3.4%
20070911 227
 
2.3%
20050131 112
 
1.1%
20170614 79
 
0.8%
20061229 65
 
0.7%
20201026 55
 
0.5%
20190318 35
 
0.4%
20190826 26
 
0.3%
20061222 26
 
0.3%
20211203 26
 
0.3%
Other values (3900) 9006
90.1%
ValueCountFrequency (%)
19810620 1
< 0.1%
19810928 1
< 0.1%
19860107 1
< 0.1%
19860805 1
< 0.1%
19860826 1
< 0.1%
19861011 1
< 0.1%
19861110 1
< 0.1%
19870427 1
< 0.1%
19870730 1
< 0.1%
19870831 1
< 0.1%
ValueCountFrequency (%)
20240416 2
 
< 0.1%
20240401 5
0.1%
20240325 1
 
< 0.1%
20240322 2
 
< 0.1%
20240315 3
< 0.1%
20240314 4
< 0.1%
20240311 1
 
< 0.1%
20240306 1
 
< 0.1%
20240229 2
 
< 0.1%
20240228 1
 
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct6111
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0008618 × 1010
Minimum1.8990105 × 1010
Maximum2.0230142 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:07:50.253471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8990105 × 1010
5-th percentile1.9860106 × 1010
Q11.9950105 × 1010
median2.0000108 × 1010
Q32.0070106 × 1010
95-th percentile2.0170106 × 1010
Maximum2.0230142 × 1010
Range1.2400365 × 109
Interquartile range (IQR)1.2000048 × 108

Descriptive statistics

Standard deviation89113374
Coefficient of variation (CV)0.0044537496
Kurtosis4.6568816
Mean2.0008618 × 1010
Median Absolute Deviation (MAD)60000048
Skewness-0.34730124
Sum2.0008618 × 1014
Variance7.9411933 × 1015
MonotonicityNot monotonic
2024-05-11T02:07:50.737839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000107033 31
 
0.3%
19860105824 22
 
0.2%
20110107311 20
 
0.2%
19950105296 19
 
0.2%
20060105771 17
 
0.2%
20030105326 17
 
0.2%
20050106251 17
 
0.2%
19890105609 16
 
0.2%
20170105481 16
 
0.2%
20020105866 16
 
0.2%
Other values (6101) 9809
98.1%
ValueCountFrequency (%)
18990105009 2
 
< 0.1%
18990105012 1
 
< 0.1%
19750105004 1
 
< 0.1%
19750105007 1
 
< 0.1%
19760105001 4
 
< 0.1%
19760105010 1
 
< 0.1%
19760105019 1
 
< 0.1%
19760105031 3
 
< 0.1%
19760105032 1
 
< 0.1%
19770105011 13
0.1%
ValueCountFrequency (%)
20230141556 1
< 0.1%
20230141291 1
< 0.1%
20230140535 2
< 0.1%
20230139811 1
< 0.1%
20230138530 1
< 0.1%
20230138487 1
< 0.1%
20230138294 1
< 0.1%
20230137895 1
< 0.1%
20230137426 2
< 0.1%
20220133711 1
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6871 
유흥주점영업
1209 
단란주점
1104 
휴게음식점
 
165
건강기능식품일반판매업
 
143
Other values (15)
 
508

Length

Max length13
Median length5
Mean length5.2487
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row일반음식점
2nd row일반음식점
3rd row일반음식점
4th row일반음식점
5th row유흥주점영업

Common Values

ValueCountFrequency (%)
일반음식점 6871
68.7%
유흥주점영업 1209
 
12.1%
단란주점 1104
 
11.0%
휴게음식점 165
 
1.7%
건강기능식품일반판매업 143
 
1.4%
즉석판매제조가공업 133
 
1.3%
유통전문판매업 128
 
1.3%
식품제조가공업 115
 
1.1%
건강기능식품유통전문판매업 39
 
0.4%
식품등 수입판매업 29
 
0.3%
Other values (10) 64
 
0.6%

Length

2024-05-11T02:07:51.201319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6871
68.5%
유흥주점영업 1209
 
12.1%
단란주점 1104
 
11.0%
휴게음식점 165
 
1.6%
건강기능식품일반판매업 143
 
1.4%
즉석판매제조가공업 133
 
1.3%
유통전문판매업 128
 
1.3%
식품제조가공업 115
 
1.1%
건강기능식품유통전문판매업 39
 
0.4%
수입판매업 29
 
0.3%
Other values (11) 93
 
0.9%

업태명
Text

Distinct67
Distinct (%)0.7%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T02:07:51.694731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length3.2885308
Min length2

Characters and Unicode

Total characters32859
Distinct characters144
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row한식
2nd row한식
3rd row한식
4th row경양식
5th row룸살롱
ValueCountFrequency (%)
경양식 2879
28.7%
한식 2434
24.2%
단란주점 1104
 
11.0%
룸살롱 930
 
9.3%
분식 466
 
4.6%
일식 289
 
2.9%
중국식 206
 
2.1%
기타 171
 
1.7%
카바레 148
 
1.5%
즉석판매제조가공업 133
 
1.3%
Other values (58) 1285
12.8%
2024-05-11T02:07:52.847756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 6562
20.0%
경 2879
 
8.8%
양 2879
 
8.8%
한 2434
 
7.4%
점 1195
 
3.6%
주 1192
 
3.6%
단 1127
 
3.4%
란 1104
 
3.4%
롱 947
 
2.9%
살 947
 
2.9%
Other values (134) 11593
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32072
97.6%
Close Punctuation 259
 
0.8%
Open Punctuation 259
 
0.8%
Other Punctuation 216
 
0.7%
Space Separator 53
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6562
20.5%
경 2879
 
9.0%
양 2879
 
9.0%
한 2434
 
7.6%
점 1195
 
3.7%
주 1192
 
3.7%
단 1127
 
3.5%
란 1104
 
3.4%
롱 947
 
3.0%
살 947
 
3.0%
Other values (129) 10806
33.7%
Other Punctuation
ValueCountFrequency (%)
/ 209
96.8%
, 7
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32072
97.6%
Common 787
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6562
20.5%
경 2879
 
9.0%
양 2879
 
9.0%
한 2434
 
7.6%
점 1195
 
3.7%
주 1192
 
3.7%
단 1127
 
3.5%
란 1104
 
3.4%
롱 947
 
3.0%
살 947
 
3.0%
Other values (129) 10806
33.7%
Common
ValueCountFrequency (%)
) 259
32.9%
( 259
32.9%
/ 209
26.6%
53
 
6.7%
, 7
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32072
97.6%
ASCII 787
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 6562
20.5%
경 2879
 
9.0%
양 2879
 
9.0%
한 2434
 
7.6%
점 1195
 
3.7%
주 1192
 
3.7%
단 1127
 
3.5%
란 1104
 
3.4%
롱 947
 
3.0%
살 947
 
3.0%
Other values (129) 10806
33.7%
ASCII
ValueCountFrequency (%)
) 259
32.9%
( 259
32.9%
/ 209
26.6%
53
 
6.7%
, 7
 
0.9%

업소명
Text

Distinct5860
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:07:53.671899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length4.3514
Min length1

Characters and Unicode

Total characters43514
Distinct characters977
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4048 ?
Unique (%)40.5%

Sample

1st row전주집
2nd row대원분식
3rd row한신
4th row가든호프
5th row(주)꿈의트로이
ValueCountFrequency (%)
주식회사 32
 
0.3%
엠 31
 
0.3%
앤 27
 
0.2%
노래바 22
 
0.2%
블루 21
 
0.2%
긋(good 20
 
0.2%
센스 19
 
0.2%
벅시 18
 
0.2%
루이스 18
 
0.2%
18
 
0.2%
Other values (6126) 10625
97.9%
2024-05-11T02:07:54.961036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1467
 
3.4%
이 1331
 
3.1%
857
 
2.0%
리 851
 
2.0%
) 806
 
1.9%
( 804
 
1.8%
주 709
 
1.6%
라 679
 
1.6%
아 608
 
1.4%
비 518
 
1.2%
Other values (967) 34884
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38775
89.1%
Uppercase Letter 994
 
2.3%
Space Separator 857
 
2.0%
Close Punctuation 806
 
1.9%
Open Punctuation 804
 
1.8%
Lowercase Letter 745
 
1.7%
Decimal Number 440
 
1.0%
Other Punctuation 78
 
0.2%
Dash Punctuation 9
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1467
 
3.8%
이 1331
 
3.4%
리 851
 
2.2%
주 709
 
1.8%
라 679
 
1.8%
아 608
 
1.6%
비 518
 
1.3%
점 461
 
1.2%
식 419
 
1.1%
지 391
 
1.0%
Other values (891) 31341
80.8%
Uppercase Letter
ValueCountFrequency (%)
O 85
 
8.6%
E 80
 
8.0%
A 72
 
7.2%
B 72
 
7.2%
S 71
 
7.1%
G 59
 
5.9%
I 52
 
5.2%
L 47
 
4.7%
T 45
 
4.5%
W 44
 
4.4%
Other values (16) 367
36.9%
Lowercase Letter
ValueCountFrequency (%)
e 87
11.7%
o 84
11.3%
a 72
9.7%
i 66
8.9%
r 53
 
7.1%
n 50
 
6.7%
l 47
 
6.3%
t 43
 
5.8%
u 41
 
5.5%
s 40
 
5.4%
Other values (15) 162
21.7%
Decimal Number
ValueCountFrequency (%)
1 92
20.9%
2 82
18.6%
0 59
13.4%
3 39
8.9%
7 32
 
7.3%
4 30
 
6.8%
8 30
 
6.8%
5 30
 
6.8%
6 24
 
5.5%
9 22
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 22
28.2%
. 15
19.2%
, 11
14.1%
' 9
11.5%
？ 8
 
10.3%
? 7
 
9.0%
: 3
 
3.8%
; 2
 
2.6%
＆ 1
 
1.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
Space Separator
ValueCountFrequency (%)
857
100.0%
Close Punctuation
ValueCountFrequency (%)
) 806
100.0%
Open Punctuation
ValueCountFrequency (%)
( 804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38773
89.1%
Common 2994
 
6.9%
Latin 1745
 
4.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1467
 
3.8%
이 1331
 
3.4%
리 851
 
2.2%
주 709
 
1.8%
라 679
 
1.8%
아 608
 
1.6%
비 518
 
1.3%
점 461
 
1.2%
식 419
 
1.1%
지 391
 
1.0%
Other values (889) 31339
80.8%
Latin
ValueCountFrequency (%)
e 87
 
5.0%
O 85
 
4.9%
o 84
 
4.8%
E 80
 
4.6%
A 72
 
4.1%
B 72
 
4.1%
a 72
 
4.1%
S 71
 
4.1%
i 66
 
3.8%
G 59
 
3.4%
Other values (43) 997
57.1%
Common
ValueCountFrequency (%)
857
28.6%
) 806
26.9%
( 804
26.9%
1 92
 
3.1%
2 82
 
2.7%
0 59
 
2.0%
3 39
 
1.3%
7 32
 
1.1%
4 30
 
1.0%
8 30
 
1.0%
Other values (13) 163
 
5.4%
Han
ValueCountFrequency (%)
木 1
50.0%
蓮 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38771
89.1%
ASCII 4724
 
10.9%
None 9
 
< 0.1%
Number Forms 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1467
 
3.8%
이 1331
 
3.4%
리 851
 
2.2%
주 709
 
1.8%
라 679
 
1.8%
아 608
 
1.6%
비 518
 
1.3%
점 461
 
1.2%
식 419
 
1.1%
지 391
 
1.0%
Other values (888) 31337
80.8%
ASCII
ValueCountFrequency (%)
857
18.1%
) 806
17.1%
( 804
17.0%
1 92
 
1.9%
e 87
 
1.8%
O 85
 
1.8%
o 84
 
1.8%
2 82
 
1.7%
E 80
 
1.7%
A 72
 
1.5%
Other values (62) 1675
35.5%
None
ValueCountFrequency (%)
？ 8
88.9%
＆ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%
CJK
ValueCountFrequency (%)
木 1
50.0%
蓮 1
50.0%

소재지도로명
Text

MISSING 

Distinct2201
Distinct (%)60.8%
Missing6381
Missing (%)63.8%
Memory size156.2 KiB
2024-05-11T02:07:55.847470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length58
Mean length32.121857
Min length23

Characters and Unicode

Total characters116249
Distinct characters357
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1591 ?
Unique (%)44.0%

Sample

1st row서울특별시 강남구 강남대로118길 11, (논현동)
2nd row서울특별시 강남구 테헤란로 421, 지하1층 (삼성동)
3rd row서울특별시 강남구 도산대로11길 15, 지하1층 (신사동)
4th row서울특별시 강남구 언주로 547, 지상12,13층 (역삼동)
5th row서울특별시 강남구 언주로85길 24, (역삼동,지하1층)
ValueCountFrequency (%)
서울특별시 3619
 
17.4%
강남구 3619
 
17.4%
지하1층 648
 
3.1%
역삼동 640
 
3.1%
논현동 494
 
2.4%
신사동 365
 
1.8%
지상1층 297
 
1.4%
청담동 228
 
1.1%
삼성동 219
 
1.1%
1층 202
 
1.0%
Other values (1897) 10519
50.5%
2024-05-11T02:07:57.638852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17232
 
14.8%
1 5915
 
5.1%
, 5616
 
4.8%
남 4083
 
3.5%
강 4044
 
3.5%
동 3935
 
3.4%
구 3775
 
3.2%
서 3661
 
3.1%
( 3644
 
3.1%
) 3644
 
3.1%
Other values (347) 60700
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66860
57.5%
Decimal Number 18731
 
16.1%
Space Separator 17232
 
14.8%
Other Punctuation 5652
 
4.9%
Open Punctuation 3644
 
3.1%
Close Punctuation 3644
 
3.1%
Dash Punctuation 288
 
0.2%
Uppercase Letter 148
 
0.1%
Math Symbol 38
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4083
 
6.1%
강 4044
 
6.0%
동 3935
 
5.9%
구 3775
 
5.6%
서 3661
 
5.5%
로 3634
 
5.4%
시 3628
 
5.4%
별 3623
 
5.4%
울 3623
 
5.4%
특 3619
 
5.4%
Other values (302) 29235
43.7%
Uppercase Letter
ValueCountFrequency (%)
B 65
43.9%
A 20
 
13.5%
K 10
 
6.8%
S 10
 
6.8%
G 5
 
3.4%
C 4
 
2.7%
L 4
 
2.7%
T 4
 
2.7%
H 4
 
2.7%
I 4
 
2.7%
Other values (9) 18
 
12.2%
Decimal Number
ValueCountFrequency (%)
1 5915
31.6%
2 2532
13.5%
3 1885
 
10.1%
5 1466
 
7.8%
4 1408
 
7.5%
0 1346
 
7.2%
6 1197
 
6.4%
7 1080
 
5.8%
8 1070
 
5.7%
9 832
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
o 2
20.0%
l 2
20.0%
n 1
10.0%
s 1
10.0%
k 1
10.0%
b 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 5616
99.4%
. 34
 
0.6%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
17232
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3644
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3644
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66858
57.5%
Common 49229
42.3%
Latin 160
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4083
 
6.1%
강 4044
 
6.0%
동 3935
 
5.9%
구 3775
 
5.6%
서 3661
 
5.5%
로 3634
 
5.4%
시 3628
 
5.4%
별 3623
 
5.4%
울 3623
 
5.4%
특 3619
 
5.4%
Other values (300) 29233
43.7%
Latin
ValueCountFrequency (%)
B 65
40.6%
A 20
 
12.5%
K 10
 
6.2%
S 10
 
6.2%
G 5
 
3.1%
C 4
 
2.5%
L 4
 
2.5%
T 4
 
2.5%
H 4
 
2.5%
I 4
 
2.5%
Other values (17) 30
18.8%
Common
ValueCountFrequency (%)
17232
35.0%
1 5915
 
12.0%
, 5616
 
11.4%
( 3644
 
7.4%
) 3644
 
7.4%
2 2532
 
5.1%
3 1885
 
3.8%
5 1466
 
3.0%
4 1408
 
2.9%
0 1346
 
2.7%
Other values (8) 4541
 
9.2%
Han
ValueCountFrequency (%)
奉 1
50.0%
錦 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66858
57.5%
ASCII 49387
42.5%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17232
34.9%
1 5915
 
12.0%
, 5616
 
11.4%
( 3644
 
7.4%
) 3644
 
7.4%
2 2532
 
5.1%
3 1885
 
3.8%
5 1466
 
3.0%
4 1408
 
2.9%
0 1346
 
2.7%
Other values (34) 4699
 
9.5%
Hangul
ValueCountFrequency (%)
남 4083
 
6.1%
강 4044
 
6.0%
동 3935
 
5.9%
구 3775
 
5.6%
서 3661
 
5.5%
로 3634
 
5.4%
시 3628
 
5.4%
별 3623
 
5.4%
울 3623
 
5.4%
특 3619
 
5.4%
Other values (300) 29233
43.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
奉 1
50.0%
錦 1
50.0%

소재지지번
Text

Distinct5465
Distinct (%)54.7%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T02:07:59.146046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length57
Mean length28.270081
Min length16

Characters and Unicode

Total characters282616
Distinct characters404
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3527 ?
Unique (%)35.3%

Sample

1st row서울특별시 강남구 삼성동 143번지 28호
2nd row서울특별시 강남구 대치동 907번지 16호
3rd row서울특별시 강남구 논현동 182번지 29호
4th row서울특별시 강남구 역삼동 822번지 0호
5th row서울특별시 강남구 역삼동 677번지 20호 (4.5.6층)
ValueCountFrequency (%)
서울특별시 9997
18.0%
강남구 9997
18.0%
역삼동 2624
 
4.7%
논현동 2003
 
3.6%
지하1층 1668
 
3.0%
신사동 1649
 
3.0%
삼성동 1073
 
1.9%
대치동 912
 
1.6%
0호 878
 
1.6%
청담동 868
 
1.6%
Other values (2106) 23934
43.0%
2024-05-11T02:08:01.218813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70334
24.9%
지 14265
 
5.0%
1 12873
 
4.6%
호 10224
 
3.6%
동 10119
 
3.6%
구 10112
 
3.6%
서 10104
 
3.6%
남 10054
 
3.6%
강 10049
 
3.6%
시 10029
 
3.5%
Other values (394) 114453
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159442
56.4%
Space Separator 70334
24.9%
Decimal Number 51070
 
18.1%
Other Punctuation 904
 
0.3%
Dash Punctuation 236
 
0.1%
Uppercase Letter 203
 
0.1%
Open Punctuation 175
 
0.1%
Close Punctuation 172
 
0.1%
Math Symbol 60
 
< 0.1%
Lowercase Letter 15
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 14265
 
8.9%
호 10224
 
6.4%
동 10119
 
6.3%
구 10112
 
6.3%
서 10104
 
6.3%
남 10054
 
6.3%
강 10049
 
6.3%
시 10029
 
6.3%
번 10014
 
6.3%
울 10011
 
6.3%
Other values (343) 54461
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 76
37.4%
A 28
 
13.8%
C 16
 
7.9%
K 11
 
5.4%
T 10
 
4.9%
F 10
 
4.9%
D 9
 
4.4%
L 8
 
3.9%
S 6
 
3.0%
E 4
 
2.0%
Other values (11) 25
 
12.3%
Decimal Number
ValueCountFrequency (%)
1 12873
25.2%
2 6675
13.1%
6 5202
10.2%
3 4156
 
8.1%
5 4024
 
7.9%
0 3880
 
7.6%
8 3755
 
7.4%
4 3691
 
7.2%
7 3671
 
7.2%
9 3143
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 4
26.7%
b 3
20.0%
l 2
13.3%
o 2
13.3%
e 1
 
6.7%
k 1
 
6.7%
s 1
 
6.7%
n 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 729
80.6%
. 165
 
18.3%
/ 9
 
1.0%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 59
98.3%
> 1
 
1.7%
Space Separator
ValueCountFrequency (%)
70334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159440
56.4%
Common 122954
43.5%
Latin 220
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 14265
 
8.9%
호 10224
 
6.4%
동 10119
 
6.3%
구 10112
 
6.3%
서 10104
 
6.3%
남 10054
 
6.3%
강 10049
 
6.3%
시 10029
 
6.3%
번 10014
 
6.3%
울 10011
 
6.3%
Other values (341) 54459
34.2%
Latin
ValueCountFrequency (%)
B 76
34.5%
A 28
 
12.7%
C 16
 
7.3%
K 11
 
5.0%
T 10
 
4.5%
F 10
 
4.5%
D 9
 
4.1%
L 8
 
3.6%
S 6
 
2.7%
E 4
 
1.8%
Other values (20) 42
19.1%
Common
ValueCountFrequency (%)
70334
57.2%
1 12873
 
10.5%
2 6675
 
5.4%
6 5202
 
4.2%
3 4156
 
3.4%
5 4024
 
3.3%
0 3880
 
3.2%
8 3755
 
3.1%
4 3691
 
3.0%
7 3671
 
3.0%
Other values (11) 4693
 
3.8%
Han
ValueCountFrequency (%)
奉 1
50.0%
錦 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159436
56.4%
ASCII 123172
43.6%
Compat Jamo 4
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70334
57.1%
1 12873
 
10.5%
2 6675
 
5.4%
6 5202
 
4.2%
3 4156
 
3.4%
5 4024
 
3.3%
0 3880
 
3.2%
8 3755
 
3.0%
4 3691
 
3.0%
7 3671
 
3.0%
Other values (40) 4911
 
4.0%
Hangul
ValueCountFrequency (%)
지 14265
 
8.9%
호 10224
 
6.4%
동 10119
 
6.3%
구 10112
 
6.3%
서 10104
 
6.3%
남 10054
 
6.3%
강 10049
 
6.3%
시 10029
 
6.3%
번 10014
 
6.3%
울 10011
 
6.3%
Other values (340) 54455
34.2%
Compat Jamo
ValueCountFrequency (%)
ㅣ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
奉 1
50.0%
錦 1
50.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct4221
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20087573
Minimum19810520
Maximum20240229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:08:01.826054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810520
5-th percentile19960802
Q120031226
median20090402
Q320150410
95-th percentile20201210
Maximum20240229
Range429709
Interquartile range (IQR)119184.5

Descriptive statistics

Standard deviation76451.693
Coefficient of variation (CV)0.0038059198
Kurtosis-0.75890766
Mean20087573
Median Absolute Deviation (MAD)59294.5
Skewness-0.096637114
Sum2.0087573 × 1011
Variance5.8448613 × 109
MonotonicityNot monotonic
2024-05-11T02:08:02.324924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113 456
 
4.6%
20070911 138
 
1.4%
20161231 79
 
0.8%
20070912 73
 
0.7%
20210101 71
 
0.7%
20061212 70
 
0.7%
20200101 69
 
0.7%
20190101 57
 
0.6%
20190923 29
 
0.3%
20210401 25
 
0.2%
Other values (4211) 8933
89.3%
ValueCountFrequency (%)
19810520 1
< 0.1%
19810828 1
< 0.1%
19851207 1
< 0.1%
19860705 1
< 0.1%
19860726 1
< 0.1%
19860911 1
< 0.1%
19861010 1
< 0.1%
19870327 1
< 0.1%
19870630 1
< 0.1%
19870731 1
< 0.1%
ValueCountFrequency (%)
20240229 1
 
< 0.1%
20240205 1
 
< 0.1%
20240201 1
 
< 0.1%
20240126 1
 
< 0.1%
20240111 1
 
< 0.1%
20240109 1
 
< 0.1%
20240108 1
 
< 0.1%
20240107 1
 
< 0.1%
20240101 14
0.1%
20231221 4
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
처분확정
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처분확정 10000
100.0%

Length

2024-05-11T02:08:02.796517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:08:03.073910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct5524
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:08:03.637947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length137
Mean length20.485
Min length2

Characters and Unicode

Total characters204850
Distinct characters306
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4498 ?
Unique (%)45.0%

Sample

1st row영업소폐쇄
2nd row영업소폐쇄
3rd row시정명령(즉시)
4th row영업정지17일(04.4.24-5.10),과징금 150만원
5th row과태료30만원 및 시정명령(09.12.31까지)
ValueCountFrequency (%)
영업소폐쇄 702
 
4.0%
영업정지 644
 
3.7%
시정명령 551
 
3.2%
및 407
 
2.3%
과징금 367
 
2.1%
갈음 356
 
2.0%
과태료 344
 
2.0%
자진납부 343
 
2.0%
과태료부과 267
 
1.5%
242
 
1.4%
Other values (6636) 13251
75.8%
2024-05-11T02:08:05.033835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17685
 
8.6%
. 17000
 
8.3%
1 16093
 
7.9%
2 12239
 
6.0%
( 7619
 
3.7%
) 7613
 
3.7%
7491
 
3.7%
정 6172
 
3.0%
업 5990
 
2.9%
영 5859
 
2.9%
Other values (296) 101089
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90475
44.2%
Decimal Number 68984
33.7%
Other Punctuation 19561
 
9.5%
Open Punctuation 7636
 
3.7%
Close Punctuation 7629
 
3.7%
Space Separator 7491
 
3.7%
Math Symbol 2175
 
1.1%
Dash Punctuation 862
 
0.4%
Modifier Symbol 16
 
< 0.1%
Connector Punctuation 12
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (257) 43426
48.0%
Decimal Number
ValueCountFrequency (%)
0 17685
25.6%
1 16093
23.3%
2 12239
17.7%
5 4137
 
6.0%
3 4022
 
5.8%
9 3460
 
5.0%
7 2997
 
4.3%
4 2929
 
4.2%
6 2740
 
4.0%
8 2682
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 17000
86.9%
, 1787
 
9.1%
: 270
 
1.4%
/ 219
 
1.1%
※ 163
 
0.8%
% 101
 
0.5%
' 10
 
0.1%
* 9
 
< 0.1%
＊ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1851
85.1%
→ 285
 
13.1%
+ 20
 
0.9%
× 9
 
0.4%
> 8
 
0.4%
= 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 7619
99.8%
[ 16
 
0.2%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7613
99.8%
] 15
 
0.2%
} 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
② 3
37.5%
① 3
37.5%
③ 2
25.0%
Space Separator
ValueCountFrequency (%)
7491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 862
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114374
55.8%
Hangul 90475
44.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (257) 43426
48.0%
Common
ValueCountFrequency (%)
0 17685
15.5%
. 17000
14.9%
1 16093
14.1%
2 12239
10.7%
( 7619
6.7%
) 7613
6.7%
7491
6.5%
5 4137
 
3.6%
3 4022
 
3.5%
9 3460
 
3.0%
Other values (28) 17015
14.9%
Latin
ValueCountFrequency (%)
ⅹ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113907
55.6%
Hangul 90466
44.2%
Arrows 285
 
0.1%
Punctuation 163
 
0.1%
None 11
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17685
15.5%
. 17000
14.9%
1 16093
14.1%
2 12239
10.7%
( 7619
6.7%
) 7613
6.7%
7491
6.6%
5 4137
 
3.6%
3 4022
 
3.5%
9 3460
 
3.0%
Other values (21) 16548
14.5%
Hangul
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (253) 43417
48.0%
Arrows
ValueCountFrequency (%)
→ 285
100.0%
Punctuation
ValueCountFrequency (%)
※ 163
100.0%
None
ValueCountFrequency (%)
× 9
81.8%
＊ 2
 
18.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
66.7%
ㅓ 1
 
11.1%
ㅈ 1
 
11.1%
ㅘ 1
 
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
37.5%
① 3
37.5%
③ 2
25.0%
Number Forms
ValueCountFrequency (%)
ⅹ 1
100.0%

법적근거
Text

Distinct522
Distinct (%)5.2%
Missing34
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T02:08:06.038526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length10.165764
Min length1

Characters and Unicode

Total characters101312
Distinct characters111
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)3.1%

Sample

1st row식품위생법 제58조
2nd row식품위생법 제58조
3rd row법 제71조 및 법 제75조
4th row식품위생법 58조
5th row식품위생법
ValueCountFrequency (%)
식품위생법 6473
27.7%
법 4906
21.0%
및 1995
 
8.5%
제75조 1980
 
8.5%
제71조 1688
 
7.2%
제58조 1239
 
5.3%
제74조 987
 
4.2%
제101조제2항제1호 394
 
1.7%
58조 258
 
1.1%
제55조 160
 
0.7%
Other values (437) 3285
14.1%
2024-05-11T02:08:07.259005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13484
13.3%
법 11920
11.8%
제 10424
10.3%
조 9432
9.3%
식 6973
 
6.9%
위 6961
 
6.9%
품 6907
 
6.8%
생 6864
 
6.8%
7 5666
 
5.6%
1 4824
 
4.8%
Other values (101) 17857
17.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64319
63.5%
Decimal Number 22025
 
21.7%
Space Separator 13484
 
13.3%
Other Punctuation 1476
 
1.5%
Dash Punctuation 7
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 11920
18.5%
제 10424
16.2%
조 9432
14.7%
식 6973
10.8%
위 6961
10.8%
품 6907
10.7%
생 6864
10.7%
및 1997
 
3.1%
항 894
 
1.4%
호 754
 
1.2%
Other values (85) 1193
 
1.9%
Decimal Number
ValueCountFrequency (%)
7 5666
25.7%
1 4824
21.9%
5 4663
21.2%
8 2111
 
9.6%
2 1470
 
6.7%
4 1391
 
6.3%
0 870
 
4.0%
6 495
 
2.2%
3 494
 
2.2%
9 41
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 1461
99.0%
. 11
 
0.7%
? 4
 
0.3%
Space Separator
ValueCountFrequency (%)
13484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64319
63.5%
Common 36993
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 11920
18.5%
제 10424
16.2%
조 9432
14.7%
식 6973
10.8%
위 6961
10.8%
품 6907
10.7%
생 6864
10.7%
및 1997
 
3.1%
항 894
 
1.4%
호 754
 
1.2%
Other values (85) 1193
 
1.9%
Common
ValueCountFrequency (%)
13484
36.5%
7 5666
15.3%
1 4824
 
13.0%
5 4663
 
12.6%
8 2111
 
5.7%
2 1470
 
4.0%
, 1461
 
3.9%
4 1391
 
3.8%
0 870
 
2.4%
6 495
 
1.3%
Other values (6) 558
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64319
63.5%
ASCII 36993
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13484
36.5%
7 5666
15.3%
1 4824
 
13.0%
5 4663
 
12.6%
8 2111
 
5.7%
2 1470
 
4.0%
, 1461
 
3.9%
4 1391
 
3.8%
0 870
 
2.4%
6 495
 
1.3%
Other values (6) 558
 
1.5%
Hangul
ValueCountFrequency (%)
법 11920
18.5%
제 10424
16.2%
조 9432
14.7%
식 6973
10.8%
위 6961
10.8%
품 6907
10.7%
생 6864
10.7%
및 1997
 
3.1%
항 894
 
1.4%
호 754
 
1.2%
Other values (85) 1193
 
1.9%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4333
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20085931
Minimum2000126
Maximum20300714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:08:07.717628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000126
5-th percentile19960830
Q120040105
median20090402
Q320150413
95-th percentile20201210
Maximum20300714
Range18300588
Interquartile range (IQR)110308

Descriptive statistics

Standard deviation196384.33
Coefficient of variation (CV)0.0097772085
Kurtosis7195.3246
Mean20085931
Median Absolute Deviation (MAD)59295
Skewness-78.134376
Sum2.0085931 × 1011
Variance3.8566806 × 1010
MonotonicityNot monotonic
2024-05-11T02:08:08.188972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113 456
 
4.6%
20070910 134
 
1.3%
20070911 92
 
0.9%
20161231 79
 
0.8%
20190101 79
 
0.8%
20200101 68
 
0.7%
20061212 68
 
0.7%
20210101 67
 
0.7%
20190923 29
 
0.3%
20210401 27
 
0.3%
Other values (4323) 8901
89.0%
ValueCountFrequency (%)
2000126 1
< 0.1%
19550522 1
< 0.1%
19810520 1
< 0.1%
19810828 1
< 0.1%
19811118 1
< 0.1%
19851207 1
< 0.1%
19860726 1
< 0.1%
19860805 1
< 0.1%
19860911 1
< 0.1%
19861010 1
< 0.1%
ValueCountFrequency (%)
20300714 1
 
< 0.1%
20240229 1
 
< 0.1%
20240205 1
 
< 0.1%
20240201 1
 
< 0.1%
20240126 1
 
< 0.1%
20240111 1
 
< 0.1%
20240108 1
 
< 0.1%
20240107 1
 
< 0.1%
20240101 14
0.1%
20231221 4
 
< 0.1%

위반내용
Text

Distinct4125
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:08:08.841638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length238
Median length129
Mean length15.1616
Min length2

Characters and Unicode

Total characters151616
Distinct characters683
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3143 ?
Unique (%)31.4%

Sample

1st row무단폐업 및 시설물멸실
2nd row무단폐업 및 시설물 멸실
3rd row간판에 신고한 상호와 다르게 표시
4th row청소년주류제공
5th row간판과다른상호사용
ValueCountFrequency (%)
및 805
 
2.9%
무단폐업 779
 
2.8%
시설물멸실 475
 
1.7%
설치 462
 
1.7%
미필 442
 
1.6%
영업장 402
 
1.5%
유흥접객원고용 381
 
1.4%
위생교육 348
 
1.3%
종업원 337
 
1.2%
멸실 313
 
1.1%
Other values (5015) 22601
82.7%
2024-05-11T02:08:09.902993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17724
 
11.7%
업 5790
 
3.8%
영 3524
 
2.3%
미 3321
 
2.2%
설 3173
 
2.1%
단 2639
 
1.7%
) 2606
 
1.7%
( 2605
 
1.7%
시 2477
 
1.6%
고 2436
 
1.6%
Other values (673) 105321
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117207
77.3%
Space Separator 17724
 
11.7%
Decimal Number 7587
 
5.0%
Other Punctuation 3297
 
2.2%
Close Punctuation 2614
 
1.7%
Open Punctuation 2614
 
1.7%
Dash Punctuation 198
 
0.1%
Uppercase Letter 136
 
0.1%
Lowercase Letter 101
 
0.1%
Math Symbol 67
 
< 0.1%
Other values (5) 71
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5790
 
4.9%
영 3524
 
3.0%
미 3321
 
2.8%
설 3173
 
2.7%
단 2639
 
2.3%
시 2477
 
2.1%
고 2436
 
2.1%
기 2398
 
2.0%
장 2200
 
1.9%
치 2000
 
1.7%
Other values (589) 87249
74.4%
Lowercase Letter
ValueCountFrequency (%)
g 44
43.6%
m 13
 
12.9%
b 10
 
9.9%
o 9
 
8.9%
l 5
 
5.0%
e 4
 
4.0%
d 3
 
3.0%
y 2
 
2.0%
a 2
 
2.0%
r 2
 
2.0%
Other values (7) 7
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
R 31
22.8%
S 20
14.7%
N 14
10.3%
E 14
10.3%
I 13
9.6%
D 9
 
6.6%
O 9
 
6.6%
G 8
 
5.9%
A 4
 
2.9%
P 3
 
2.2%
Other values (7) 11
 
8.1%
Other Punctuation
ValueCountFrequency (%)
, 1352
41.0%
. 913
27.7%
/ 841
25.5%
: 104
 
3.2%
? 57
 
1.7%
' 10
 
0.3%
* 6
 
0.2%
; 6
 
0.2%
？ 4
 
0.1%
※ 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 1815
23.9%
2 1795
23.7%
0 1171
15.4%
3 646
 
8.5%
9 466
 
6.1%
6 460
 
6.1%
4 378
 
5.0%
5 328
 
4.3%
8 299
 
3.9%
7 229
 
3.0%
Math Symbol
ValueCountFrequency (%)
+ 20
29.9%
> 14
20.9%
~ 13
19.4%
= 12
17.9%
→ 5
 
7.5%
< 3
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 2605
99.7%
[ 4
 
0.2%
「 3
 
0.1%
{ 1
 
< 0.1%
【 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2606
99.7%
] 4
 
0.2%
」 3
 
0.1%
} 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 22
84.6%
℃ 2
 
7.7%
♧ 1
 
3.8%
□ 1
 
3.8%
Other Number
ValueCountFrequency (%)
① 5
62.5%
② 2
 
25.0%
③ 1
 
12.5%
Final Punctuation
ValueCountFrequency (%)
” 10
66.7%
’ 5
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
54.5%
“ 5
45.5%
Space Separator
ValueCountFrequency (%)
17724
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117207
77.3%
Common 34172
 
22.5%
Latin 237
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5790
 
4.9%
영 3524
 
3.0%
미 3321
 
2.8%
설 3173
 
2.7%
단 2639
 
2.3%
시 2477
 
2.1%
고 2436
 
2.1%
기 2398
 
2.0%
장 2200
 
1.9%
치 2000
 
1.7%
Other values (589) 87249
74.4%
Common
ValueCountFrequency (%)
17724
51.9%
) 2606
 
7.6%
( 2605
 
7.6%
1 1815
 
5.3%
2 1795
 
5.3%
, 1352
 
4.0%
0 1171
 
3.4%
. 913
 
2.7%
/ 841
 
2.5%
3 646
 
1.9%
Other values (40) 2704
 
7.9%
Latin
ValueCountFrequency (%)
g 44
18.6%
R 31
13.1%
S 20
 
8.4%
N 14
 
5.9%
E 14
 
5.9%
m 13
 
5.5%
I 13
 
5.5%
b 10
 
4.2%
o 9
 
3.8%
D 9
 
3.8%
Other values (24) 60
25.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117200
77.3%
ASCII 34331
 
22.6%
Punctuation 28
 
< 0.1%
CJK Compat 22
 
< 0.1%
None 11
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Arrows 5
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17724
51.6%
) 2606
 
7.6%
( 2605
 
7.6%
1 1815
 
5.3%
2 1795
 
5.2%
, 1352
 
3.9%
0 1171
 
3.4%
. 913
 
2.7%
/ 841
 
2.4%
3 646
 
1.9%
Other values (57) 2863
 
8.3%
Hangul
ValueCountFrequency (%)
업 5790
 
4.9%
영 3524
 
3.0%
미 3321
 
2.8%
설 3173
 
2.7%
단 2639
 
2.3%
시 2477
 
2.1%
고 2436
 
2.1%
기 2398
 
2.0%
장 2200
 
1.9%
치 2000
 
1.7%
Other values (586) 87242
74.4%
CJK Compat
ValueCountFrequency (%)
㎡ 22
100.0%
Punctuation
ValueCountFrequency (%)
” 10
35.7%
‘ 6
21.4%
“ 5
17.9%
’ 5
17.9%
※ 2
 
7.1%
Arrows
ValueCountFrequency (%)
→ 5
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 5
62.5%
② 2
 
25.0%
③ 1
 
12.5%
None
ValueCountFrequency (%)
？ 4
36.4%
」 3
27.3%
「 3
27.3%
【 1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
57.1%
ㅁ 2
28.6%
ㅇ 1
 
14.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Misc Symbols
ValueCountFrequency (%)
♧ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

처분내용
Text

Distinct5524
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:08:10.499034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length137
Mean length20.485
Min length2

Characters and Unicode

Total characters204850
Distinct characters306
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4498 ?
Unique (%)45.0%

Sample

1st row영업소폐쇄
2nd row영업소폐쇄
3rd row시정명령(즉시)
4th row영업정지17일(04.4.24-5.10),과징금 150만원
5th row과태료30만원 및 시정명령(09.12.31까지)
ValueCountFrequency (%)
영업소폐쇄 702
 
4.0%
영업정지 644
 
3.7%
시정명령 551
 
3.2%
및 407
 
2.3%
과징금 367
 
2.1%
갈음 356
 
2.0%
과태료 344
 
2.0%
자진납부 343
 
2.0%
과태료부과 267
 
1.5%
242
 
1.4%
Other values (6636) 13251
75.8%
2024-05-11T02:08:11.783208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17685
 
8.6%
. 17000
 
8.3%
1 16093
 
7.9%
2 12239
 
6.0%
( 7619
 
3.7%
) 7613
 
3.7%
7491
 
3.7%
정 6172
 
3.0%
업 5990
 
2.9%
영 5859
 
2.9%
Other values (296) 101089
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90475
44.2%
Decimal Number 68984
33.7%
Other Punctuation 19561
 
9.5%
Open Punctuation 7636
 
3.7%
Close Punctuation 7629
 
3.7%
Space Separator 7491
 
3.7%
Math Symbol 2175
 
1.1%
Dash Punctuation 862
 
0.4%
Modifier Symbol 16
 
< 0.1%
Connector Punctuation 12
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (257) 43426
48.0%
Decimal Number
ValueCountFrequency (%)
0 17685
25.6%
1 16093
23.3%
2 12239
17.7%
5 4137
 
6.0%
3 4022
 
5.8%
9 3460
 
5.0%
7 2997
 
4.3%
4 2929
 
4.2%
6 2740
 
4.0%
8 2682
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 17000
86.9%
, 1787
 
9.1%
: 270
 
1.4%
/ 219
 
1.1%
※ 163
 
0.8%
% 101
 
0.5%
' 10
 
0.1%
* 9
 
< 0.1%
＊ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1851
85.1%
→ 285
 
13.1%
+ 20
 
0.9%
× 9
 
0.4%
> 8
 
0.4%
= 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 7619
99.8%
[ 16
 
0.2%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7613
99.8%
] 15
 
0.2%
} 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
② 3
37.5%
① 3
37.5%
③ 2
25.0%
Space Separator
ValueCountFrequency (%)
7491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 862
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114374
55.8%
Hangul 90475
44.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (257) 43426
48.0%
Common
ValueCountFrequency (%)
0 17685
15.5%
. 17000
14.9%
1 16093
14.1%
2 12239
10.7%
( 7619
6.7%
) 7613
6.7%
7491
6.5%
5 4137
 
3.6%
3 4022
 
3.5%
9 3460
 
3.0%
Other values (28) 17015
14.9%
Latin
ValueCountFrequency (%)
ⅹ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113907
55.6%
Hangul 90466
44.2%
Arrows 285
 
0.1%
Punctuation 163
 
0.1%
None 11
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17685
15.5%
. 17000
14.9%
1 16093
14.1%
2 12239
10.7%
( 7619
6.7%
) 7613
6.7%
7491
6.6%
5 4137
 
3.6%
3 4022
 
3.5%
9 3460
 
3.0%
Other values (21) 16548
14.5%
Hangul
ValueCountFrequency (%)
정 6172
 
6.8%
업 5990
 
6.6%
영 5859
 
6.5%
지 5727
 
6.3%
과 5257
 
5.8%
원 4080
 
4.5%
시 3934
 
4.3%
만 3651
 
4.0%
명 3204
 
3.5%
령 3175
 
3.5%
Other values (253) 43417
48.0%
Arrows
ValueCountFrequency (%)
→ 285
100.0%
Punctuation
ValueCountFrequency (%)
※ 163
100.0%
None
ValueCountFrequency (%)
× 9
81.8%
＊ 2
 
18.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
66.7%
ㅓ 1
 
11.1%
ㅈ 1
 
11.1%
ㅘ 1
 
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
37.5%
① 3
37.5%
③ 2
25.0%
Number Forms
ValueCountFrequency (%)
ⅹ 1
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)1.7%
Missing8389
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean13.01676
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:08:12.199513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q17
median15
Q315
95-th percentile20
Maximum30
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6138158
Coefficient of variation (CV)0.35445195
Kurtosis0.82403897
Mean13.01676
Median Absolute Deviation (MAD)0
Skewness0.064634539
Sum20970
Variance21.287297
MonotonicityNot monotonic
2024-05-11T02:08:12.609406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15 986
 
9.9%
7 353
 
3.5%
10 52
 
0.5%
8 33
 
0.3%
20 21
 
0.2%
3 20
 
0.2%
5 19
 
0.2%
22 19
 
0.2%
18 18
 
0.2%
23 17
 
0.2%
Other values (18) 73
 
0.7%
(Missing) 8389
83.9%
ValueCountFrequency (%)
1 5
 
0.1%
2 2
 
< 0.1%
3 20
 
0.2%
4 8
 
0.1%
5 19
 
0.2%
6 7
 
0.1%
7 353
3.5%
8 33
 
0.3%
10 52
 
0.5%
11 1
 
< 0.1%
ValueCountFrequency (%)
30 4
 
< 0.1%
29 10
0.1%
28 6
 
0.1%
27 1
 
< 0.1%
26 2
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
23 17
0.2%
22 19
0.2%
21 4
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2181
Distinct (%)51.4%
Missing5758
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean228.6087
Minimum1.3
Maximum6611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:08:13.094613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile25.3025
Q180
median136.63
Q3255
95-th percentile749.92
Maximum6611
Range6609.7
Interquartile range (IQR)175

Descriptive statistics

Standard deviation309.30164
Coefficient of variation (CV)1.3529741
Kurtosis59.575024
Mean228.6087
Median Absolute Deviation (MAD)75.205
Skewness5.3906766
Sum969758.1
Variance95667.504
MonotonicityNot monotonic
2024-05-11T02:08:13.548301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.23 28
 
0.3%
66.11 26
 
0.3%
231.4 23
 
0.2%
26.44 21
 
0.2%
198.34 20
 
0.2%
59.5 19
 
0.2%
148.76 19
 
0.2%
92.56 17
 
0.2%
82.64 16
 
0.2%
29.75 16
 
0.2%
Other values (2171) 4037
40.4%
(Missing) 5758
57.6%
ValueCountFrequency (%)
1.3 1
 
< 0.1%
1.47 1
 
< 0.1%
1.65 1
 
< 0.1%
3.3 4
< 0.1%
3.77 1
 
< 0.1%
4.0 1
 
< 0.1%
4.29 1
 
< 0.1%
4.95 1
 
< 0.1%
5.61 1
 
< 0.1%
6.25 1
 
< 0.1%
ValueCountFrequency (%)
6611.0 1
 
< 0.1%
3784.87 1
 
< 0.1%
2815.24 1
 
< 0.1%
2594.15 1
 
< 0.1%
2429.0 4
< 0.1%
2356.0 2
< 0.1%
2223.55 1
 
< 0.1%
2187.47 4
< 0.1%
2133.82 2
< 0.1%
2131.28 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9994 
직영
 
5
(조합)위탁
 
1

Length

Max length6
Median length4
Mean length3.9992
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9994
99.9%
직영 5
 
0.1%
(조합)위탁 1
 
< 0.1%

Length

2024-05-11T02:08:14.040729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:08:14.304944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9994
99.9%
직영 5
 
< 0.1%
조합)위탁 1
 
< 0.1%

Interactions

2024-05-11T02:07:44.342242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:35.156703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:37.298563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:39.161383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:40.920620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:42.631408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:44.662311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:35.472427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:37.766995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:39.427427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:41.163678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:42.894231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:44.966541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:35.955862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:38.010252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:39.718160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:41.402213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:43.204642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:45.195709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:36.318997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:38.286353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:40.101452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:41.690596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:43.488609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:45.470757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:36.606055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:38.581060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:40.386918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:42.008296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:43.765782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:45.747858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:36.990074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:38.864834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:40.666044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:42.286108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:07:44.063113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:08:14.487840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.7370.3680.4620.998NaN0.2490.1220.000
교부번호0.7371.0000.5060.6400.737NaN0.1420.1020.000
업종명0.3680.5061.0001.0000.376NaN0.1760.398NaN
업태명0.4620.6401.0001.0000.471NaN0.3780.6550.000
지도점검일자0.9980.7370.3760.4711.000NaN0.2580.1260.000
위반일자NaNNaNNaNNaNNaN1.000NaNNaNNaN
처분기간0.2490.1420.1760.3780.258NaN1.0000.000NaN
영업장면적(㎡)0.1220.1020.3980.6550.126NaN0.0001.000NaN
운영형태0.0000.000NaN0.0000.000NaNNaNNaN1.000
2024-05-11T02:08:14.797310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-11T02:08:15.085016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.6440.9990.999-0.0760.1020.1250.000
교부번호0.6441.0000.6430.643-0.0340.0180.2420.000
지도점검일자0.9990.6431.0000.999-0.0760.0980.1280.000
위반일자0.9990.6430.9991.000-0.0770.0980.0001.000
처분기간-0.076-0.034-0.076-0.0771.0000.0070.0730.000
영업장면적(㎡)0.1020.0180.0980.0980.0071.0000.1580.000
업종명0.1250.2420.1280.0000.0730.1581.0001.000
운영형태0.0000.0000.0001.0000.0000.0001.0001.000

Missing values

2024-05-11T02:07:46.268445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:07:47.312317image/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.
2024-05-11T02:07:47.920619image/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

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
311632200002005020119960106566일반음식점한식전주집<NA>서울특별시 강남구 삼성동 143번지 28호20050113처분확정영업소폐쇄식품위생법 제58조20050113무단폐업 및 시설물멸실영업소폐쇄<NA>83.42<NA>
1902632200002005020119900105235일반음식점한식대원분식<NA>서울특별시 강남구 대치동 907번지 16호20050113처분확정영업소폐쇄식품위생법 제58조20050113무단폐업 및 시설물 멸실영업소폐쇄<NA><NA><NA>
2158832200002018073019980106568일반음식점한식한신서울특별시 강남구 강남대로118길 11, (논현동)서울특별시 강남구 논현동 182번지 29호20180620처분확정시정명령(즉시)법 제71조 및 법 제75조20180620간판에 신고한 상호와 다르게 표시시정명령(즉시)<NA>282.4<NA>
358232200002004042219970107659일반음식점경양식가든호프<NA>서울특별시 강남구 역삼동 822번지 0호20040204처분확정영업정지17일(04.4.24-5.10),과징금 150만원식품위생법 58조20040204청소년주류제공영업정지17일(04.4.24-5.10),과징금 150만원17<NA><NA>
3172532200002009121820050105753유흥주점영업룸살롱(주)꿈의트로이<NA>서울특별시 강남구 역삼동 677번지 20호 (4.5.6층)20091102처분확정과태료30만원 및 시정명령(09.12.31까지)식품위생법20091102간판과다른상호사용과태료30만원 및 시정명령(09.12.31까지)<NA>565.28<NA>
2497132200002008112420030107923일반음식점경양식슈가클럽<NA>서울특별시 강남구 신사동 631번지 34호 지하1,2층20080827처분확정시설개수명령및 시정명령식품위생법 제 57조20080827단란주점 형태영업음향기기 설치시설개수명령및 시정명령<NA>824.83<NA>
3245932200001995082219930106573단란주점단란주점삼성가요주점<NA>서울특별시 강남구 삼성동 77번지 23호19950722처분확정영업정지15일갈음과징금처분(900.000)식품위생법19950722행정처분과징금대체영업정지15일갈음과징금처분(900.000)15<NA><NA>
2566432200002009122420050106251일반음식점경양식컴<NA>서울특별시 강남구 역삼동 688번지 6호 지상2층20090902처분확정시설개수명령(10.01.15까지)식품위생법20090902무허가단란주점영업시설개수명령(10.01.15까지)<NA>66.11<NA>
586432200002009112720020105248일반음식점일식어가<NA>서울특별시 강남구 논현동 63번지 3호 1층~2층20090824처분확정영업정지15일갈음 과징금1,680만원부과(09.12.24까지)식품위생법20090824유통기한 경과식품 조리판매목적 보관영업정지15일갈음 과징금1,680만원부과(09.12.24까지)15168.01<NA>
3037932200002017080119870105022유흥주점영업룸살롱루이스서울특별시 강남구 테헤란로 421, 지하1층 (삼성동)서울특별시 강남구 삼성동 142번지 46호 지하1층20170615처분확정과태료120만원(96만원 2017.7.17 자진납부)법 제101조제2항 제1호20170615건강진단미필(3차,종업원3/8)과태료120만원(96만원 2017.7.17 자진납부)<NA>334.0<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
1867732200002005041219880105759일반음식점한식(주)용수산<NA>서울특별시 강남구 청담동 6번지 0호20050315처분확정과태료부과-(05.4.12)과태료 20만원 부과식품위생법 제78조20050308식품등의 위생적 취급에 관한 기준 위반(식재료 보관상태 불량 등)과태료부과-(05.4.12)과태료 20만원 부과<NA><NA><NA>
78232200002005052419880105254일반음식점경양식쉬즈<NA>서울특별시 강남구 역삼동 644번지 16호20050425처분확정과태료 60만원 부과식품위생법 제78조20050425건강진단미필(영업주1,종사자1/1)과태료 60만원 부과<NA><NA><NA>
1325932200002014090419930107027단란주점단란주점초이스 노래바서울특별시 강남구 강남대로128길 10, (논현동)서울특별시 강남구 논현동 144번지 0호20140826처분확정영업정지15일(2014.9.5~9.19),시설개수명령(2014.9.19까지),시설개수명령 미이행 과태료200만원식품위생법 제721조, 제74조 및 제75조20140826객실면적이 객석면적의 1/2초과(2차)영업정지15일(2014.9.5~9.19),시설개수명령(2014.9.19까지),시설개수명령 미이행 과태료200만원15<NA><NA>
1656932200002023122020210108480즉석판매제조가공업즉석판매제조가공업153테이블(153Table)서울특별시 강남구 언주로115길 18, 지상1층 102호 (논현동)서울특별시 강남구 논현동 226번지 7호20231221처분확정과태료부과법 제101조제4항1호202312212022년 즉석판매제조가공업소 위생교육 미이수과태료부과<NA><NA><NA>
25732200001998032619840105316일반음식점경양식카스앤락<NA>서울특별시 강남구 신사동 578번지 0호19980226처분확정영업정지1월 가름과징금(1,800,000)식품위생법19980226미성년자출입영업정지1월 가름과징금(1,800,000)<NA>73.4<NA>
974532200002012070220110105106일반음식점한식부안가든식당서울특별시 강남구 선릉로 30, (개포동,개포빌딩 지하1층)서울특별시 강남구 개포동 167번지 4호 개포빌딩 지하1층20120220처분확정영업소폐쇄(2012.07.02)식품위생법20120220영업소 멸실영업소폐쇄(2012.07.02)<NA><NA><NA>
2593032200002022012420050107445일반음식점경양식코다차야서울특별시 강남구 압구정로14길 6, (신사동,지하1층)서울특별시 강남구 신사동 548번지 4호 지하1층20211210처분확정과태료50만원(40만원 2022.1.19. 자진납부)법 제71조 및 법 제75조20211210영업신고증 미게시과태료50만원(40만원 2022.1.19. 자진납부)<NA>330.18<NA>
2062932200002017092119950105296일반음식점한식(주)새벽집서울특별시 강남구 도산대로101길 6, (청담동)서울특별시 강남구 청담동 129번지 10호20170821처분확정시정명령(2017.10.31까지)법 제101조제2항제1호 및 영 제67조20170821조리장,조리기구 위생불량시정명령(2017.10.31까지)<NA><NA><NA>
290332200002005081219950105694일반음식점한식초현<NA>서울특별시 강남구 도곡동 545번지 4호20050721처분확정시설개수명령(2005.9.1.까지)식품위생법 제57조20050721객장에영상자동반주기설치시설개수명령(2005.9.1.까지)<NA><NA><NA>
1185932200002019112719880105055유흥주점영업카바레제네바서울특별시 강남구 논현로87길 37, (역삼동)서울특별시 강남구 역삼동 735번지 31호20190918처분확정시설개수명령(2019.12.23.까지)법 제71조, 법 제74조 및 법 제75조20190918소방시설 및 안전시설 부실관리시설개수명령(2019.12.23.까지)<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
1032200002001082120000105156일반음식점정종/대포집/소주방풍금<NA>서울특별시 강남구 청담동 96번지 22호 지하1층20010721처분확정영업정지1월갈음과징금900만원부과식품위생법20010821단란주점형태영업영업정지1월갈음과징금900만원부과<NA><NA><NA>3
1332200002003030420000107342일반음식점경양식제드<NA>서울특별시 강남구 대치동 947번지 0호 (지하1층)20030124처분확정영업정지1월, 시설개수명령식품위생법제31조20030305단란주점형태영업영업정지1월, 시설개수명령<NA><NA><NA>3
3932200002008090920070106254일반음식점경양식봄<NA>서울특별시 강남구 논현동 61번지 11호 지하1층20080813처분확정영업소폐쇄식품위생법20080813영업정지중 영업행위영업소폐쇄<NA>324.05<NA>3
6032200002011022120020107620일반음식점한식미로(Miro)<NA>서울특별시 강남구 대치동 901번지 25호 지하1층20100711처분확정영업정지 2월 15일(11.02.24~11.05.08)식품위생법20100711유흥접객업영업정지 2월 15일(11.02.24~11.05.08)1564.13<NA>3
12832200002021090620200106689일반음식점경양식버틀러서울특별시 강남구 도산대로 535, 지상4층 (청담동)서울특별시 강남구 청담동 125번지 16호 용강빌딩20210622처분확정영업정지1개월(2021.9.7.~10.6.)법 제71조, 법 제74조 및 법 제75조20210622객실내 음향반주시설 설치영업정지1개월(2021.9.7.~10.6.)<NA><NA><NA>3
032200001995072419930105549일반음식점중국식희래등<NA>서울특별시 강남구 신사동 526번지 7호19950624처분확정영업정지1월갈음과징금180만원식품위생법19950624미성년자주류제공영업정지1월갈음과징금180만원<NA><NA><NA>2
132200001996031819890105618단란주점단란주점(주)크로바관광호텔'싸피'<NA>서울특별시 강남구 청담동 129번지 9호 별관으로이전19960318처분확정영업정지15일갈음과징금90만원처분식품위생법19960418무단확장영업정지15일갈음과징금90만원처분15131.02<NA>2
232200001997100819930107463단란주점단란주점에픽<NA>서울특별시 강남구 청담동 5번지 9호19970908처분확정영업정지23일식품위생법19971008시간외영업영업정지23일23140.33<NA>2
332200001998062519930107463단란주점단란주점에픽<NA>서울특별시 강남구 청담동 5번지 9호19980525처분확정시성개수명령식품위생법19980625측광조절장치.무단구조변경시성개수명령<NA>140.33<NA>2
432200002000032119980107094일반음식점일식어원<NA>서울특별시 강남구 대치동 945번지 11호 .12.13.14호20000221처분확정과태료190만원및시정명령식품위생법20000321건강진단미필(20/14)허가증미게첨과태료190만원및시정명령<NA><NA><NA>2