Overview

Dataset statistics

Number of variables18
Number of observations6821
Missing cells12469
Missing cells (%)10.2%
Duplicate rows582
Duplicate rows (%)8.5%
Total size in memory1006.0 KiB
Average record size in memory151.0 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-10758/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 582 (8.5%) duplicate rowsDuplicates
업종명 is highly overall correlated with 운영형태High correlation
운영형태 is highly overall correlated with 지도점검일자 and 3 other fieldsHigh 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 3 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
영업장면적(㎡) is highly overall correlated with 운영형태High correlation
운영형태 is highly imbalanced (95.2%)Imbalance
소재지도로명 has 1236 (18.1%) missing valuesMissing
처분기간 has 6041 (88.6%) missing valuesMissing
영업장면적(㎡) has 5152 (75.5%) missing valuesMissing
지도점검일자 is highly skewed (γ1 = -37.82483943)Skewed
위반일자 is highly skewed (γ1 = -60.89331995)Skewed

Reproduction

Analysis started2024-05-04 05:48:53.375018
Analysis finished2024-05-04 05:49:15.406983
Duration22.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
3030000
6821 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 6821
100.0%

Length

2024-05-04T05:49:15.647659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:49:15.962169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 6821
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct1982
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113762
Minimum20010104
Maximum20240418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:16.293606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010104
5-th percentile20020429
Q120070322
median20110314
Q320160309
95-th percentile20230424
Maximum20240418
Range230314
Interquartile range (IQR)89987

Descriptive statistics

Standard deviation61432.018
Coefficient of variation (CV)0.0030542281
Kurtosis-0.86869874
Mean20113762
Median Absolute Deviation (MAD)40914
Skewness0.23437302
Sum1.3719597 × 1011
Variance3.7738929 × 109
MonotonicityNot monotonic
2024-05-04T05:49:17.061342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151228 180
 
2.6%
20050125 173
 
2.5%
20231222 117
 
1.7%
20060313 103
 
1.5%
20080304 71
 
1.0%
20070409 66
 
1.0%
20211220 62
 
0.9%
20070328 60
 
0.9%
20070322 60
 
0.9%
20081231 53
 
0.8%
Other values (1972) 5876
86.1%
ValueCountFrequency (%)
20010104 2
 
< 0.1%
20010108 2
 
< 0.1%
20010115 9
0.1%
20010202 1
 
< 0.1%
20010312 2
 
< 0.1%
20010316 3
 
< 0.1%
20010329 3
 
< 0.1%
20010411 2
 
< 0.1%
20010416 1
 
< 0.1%
20010420 2
 
< 0.1%
ValueCountFrequency (%)
20240418 1
 
< 0.1%
20240402 4
 
0.1%
20240311 2
 
< 0.1%
20240304 3
 
< 0.1%
20240226 2
 
< 0.1%
20240213 1
 
< 0.1%
20240207 2
 
< 0.1%
20240126 1
 
< 0.1%
20240116 36
0.5%
20240115 1
 
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct3448
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0010809 × 1010
Minimum1.6750036 × 1010
Maximum2.023005 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:17.509090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6750036 × 1010
5-th percentile1.9800036 × 1010
Q11.9950036 × 1010
median2.0010037 × 1010
Q32.0090036 × 1010
95-th percentile2.0180036 × 1010
Maximum2.023005 × 1010
Range3.4800141 × 109
Interquartile range (IQR)1.4000004 × 108

Descriptive statistics

Standard deviation1.1367351 × 108
Coefficient of variation (CV)0.0056806055
Kurtosis98.467306
Mean2.0010809 × 1010
Median Absolute Deviation (MAD)69999767
Skewness-3.740917
Sum1.3649373 × 1014
Variance1.2921668 × 1016
MonotonicityNot monotonic
2024-05-04T05:49:18.144646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19860036177 220
 
3.2%
19800036044 104
 
1.5%
19770036022 50
 
0.7%
19950036069 39
 
0.6%
20040036845 33
 
0.5%
20080036537 31
 
0.5%
19810036095 30
 
0.4%
20150036255 30
 
0.4%
20060036209 30
 
0.4%
19740036004 28
 
0.4%
Other values (3438) 6226
91.3%
ValueCountFrequency (%)
16750036001 1
 
< 0.1%
19680036003 7
 
0.1%
19720036002 1
 
< 0.1%
19720036004 1
 
< 0.1%
19720036008 1
 
< 0.1%
19730036002 2
 
< 0.1%
19740036002 3
 
< 0.1%
19740036004 28
0.4%
19740036006 12
0.2%
19740036012 1
 
< 0.1%
ValueCountFrequency (%)
20230050111 1
 
< 0.1%
20230049697 6
0.1%
20230049303 1
 
< 0.1%
20230049267 2
 
< 0.1%
20220042127 1
 
< 0.1%
20220041956 1
 
< 0.1%
20220041587 1
 
< 0.1%
20220041378 1
 
< 0.1%
20220041308 2
 
< 0.1%
20220041028 1
 
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
일반음식점
3896 
식품제조가공업
924 
단란주점
449 
휴게음식점
 
356
즉석판매제조가공업
 
253
Other values (17)
943 

Length

Max length13
Median length5
Mean length5.7589796
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3896
57.1%
식품제조가공업 924
 
13.5%
단란주점 449
 
6.6%
휴게음식점 356
 
5.2%
즉석판매제조가공업 253
 
3.7%
건강기능식품일반판매업 165
 
2.4%
유통전문판매업 160
 
2.3%
식품등 수입판매업 158
 
2.3%
제과점영업 93
 
1.4%
유흥주점영업 86
 
1.3%
Other values (12) 281
 
4.1%

Length

2024-05-04T05:49:18.741597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 3896
55.8%
식품제조가공업 924
 
13.2%
단란주점 449
 
6.4%
휴게음식점 356
 
5.1%
즉석판매제조가공업 253
 
3.6%
건강기능식품일반판매업 165
 
2.4%
유통전문판매업 160
 
2.3%
식품등 158
 
2.3%
수입판매업 158
 
2.3%
제과점영업 93
 
1.3%
Other values (13) 367
 
5.3%

업태명
Text

Distinct68
Distinct (%)1.0%
Missing32
Missing (%)0.5%
Memory size53.4 KiB
2024-05-04T05:49:19.240065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.5276182
Min length2

Characters and Unicode

Total characters30738
Distinct characters146
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

Unique9 ?
Unique (%)0.1%

Sample

1st row한식
2nd row기타
3rd row한식
4th row한식
5th row한식
ValueCountFrequency (%)
한식 1737
24.6%
식품제조가공업 924
13.1%
호프/통닭 784
11.1%
단란주점 449
 
6.4%
기타 287
 
4.1%
즉석판매제조가공업 246
 
3.5%
중국식 210
 
3.0%
경양식 183
 
2.6%
유통전문판매업 160
 
2.3%
식품등 158
 
2.2%
Other values (59) 1919
27.2%
2024-05-04T05:49:20.446804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3822
 
12.4%
업 1931
 
6.3%
한 1737
 
5.7%
제 1292
 
4.2%
조 1266
 
4.1%
품 1263
 
4.1%
가 1171
 
3.8%
공 1170
 
3.8%
통 1165
 
3.8%
/ 952
 
3.1%
Other values (136) 14969
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29002
94.4%
Other Punctuation 990
 
3.2%
Space Separator 268
 
0.9%
Open Punctuation 239
 
0.8%
Close Punctuation 239
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3822
 
13.2%
업 1931
 
6.7%
한 1737
 
6.0%
제 1292
 
4.5%
조 1266
 
4.4%
품 1263
 
4.4%
가 1171
 
4.0%
공 1170
 
4.0%
통 1165
 
4.0%
닭 922
 
3.2%
Other values (130) 13263
45.7%
Other Punctuation
ValueCountFrequency (%)
/ 952
96.2%
. 28
 
2.8%
, 10
 
1.0%
Space Separator
ValueCountFrequency (%)
268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29002
94.4%
Common 1736
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3822
 
13.2%
업 1931
 
6.7%
한 1737
 
6.0%
제 1292
 
4.5%
조 1266
 
4.4%
품 1263
 
4.4%
가 1171
 
4.0%
공 1170
 
4.0%
통 1165
 
4.0%
닭 922
 
3.2%
Other values (130) 13263
45.7%
Common
ValueCountFrequency (%)
/ 952
54.8%
268
 
15.4%
( 239
 
13.8%
) 239
 
13.8%
. 28
 
1.6%
, 10
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29002
94.4%
ASCII 1736
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3822
 
13.2%
업 1931
 
6.7%
한 1737
 
6.0%
제 1292
 
4.5%
조 1266
 
4.4%
품 1263
 
4.4%
가 1171
 
4.0%
공 1170
 
4.0%
통 1165
 
4.0%
닭 922
 
3.2%
Other values (130) 13263
45.7%
ASCII
ValueCountFrequency (%)
/ 952
54.8%
268
 
15.4%
( 239
 
13.8%
) 239
 
13.8%
. 28
 
1.6%
, 10
 
0.6%

업소명
Text

Distinct3403
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
2024-05-04T05:49:21.031420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length5.5013928
Min length1

Characters and Unicode

Total characters37525
Distinct characters895
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2197 ?
Unique (%)32.2%

Sample

1st row삼우당
2nd row그때그집
3rd row대성식당
4th row쎄코시
5th row햇잎갈비
ValueCountFrequency (%)
평화식품 220
 
2.9%
주식회사 111
 
1.5%
건영글로벌케이 96
 
1.3%
동보식품 50
 
0.7%
왕십리점 38
 
0.5%
미단식품(주 33
 
0.4%
한양식품 32
 
0.4%
프랭크팩토리 30
 
0.4%
대창식품 28
 
0.4%
쭈전부리 27
 
0.4%
Other values (3645) 6859
91.2%
2024-05-04T05:49:22.125824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1100
 
2.9%
이 916
 
2.4%
주 888
 
2.4%
리 748
 
2.0%
) 718
 
1.9%
( 714
 
1.9%
703
 
1.9%
스 660
 
1.8%
점 594
 
1.6%
품 537
 
1.4%
Other values (885) 29947
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33564
89.4%
Lowercase Letter 740
 
2.0%
Close Punctuation 718
 
1.9%
Open Punctuation 714
 
1.9%
Space Separator 703
 
1.9%
Uppercase Letter 658
 
1.8%
Decimal Number 301
 
0.8%
Other Punctuation 108
 
0.3%
Dash Punctuation 17
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1100
 
3.3%
이 916
 
2.7%
주 888
 
2.6%
리 748
 
2.2%
스 660
 
2.0%
점 594
 
1.8%
품 537
 
1.6%
당 398
 
1.2%
마 378
 
1.1%
수 358
 
1.1%
Other values (813) 26987
80.4%
Uppercase Letter
ValueCountFrequency (%)
E 66
 
10.0%
O 56
 
8.5%
A 43
 
6.5%
S 40
 
6.1%
B 39
 
5.9%
F 38
 
5.8%
C 36
 
5.5%
L 35
 
5.3%
M 30
 
4.6%
N 29
 
4.4%
Other values (15) 246
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 81
10.9%
o 74
 
10.0%
a 67
 
9.1%
n 57
 
7.7%
r 53
 
7.2%
i 51
 
6.9%
s 45
 
6.1%
t 44
 
5.9%
c 35
 
4.7%
p 32
 
4.3%
Other values (14) 201
27.2%
Decimal Number
ValueCountFrequency (%)
2 80
26.6%
0 75
24.9%
5 40
13.3%
1 29
 
9.6%
7 22
 
7.3%
8 19
 
6.3%
3 15
 
5.0%
4 10
 
3.3%
9 10
 
3.3%
6 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 36
33.3%
. 21
19.4%
, 13
 
12.0%
! 11
 
10.2%
? 10
 
9.3%
？ 6
 
5.6%
; 6
 
5.6%
' 5
 
4.6%
Close Punctuation
ValueCountFrequency (%)
) 718
100.0%
Open Punctuation
ValueCountFrequency (%)
( 714
100.0%
Space Separator
ValueCountFrequency (%)
703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33561
89.4%
Common 2563
 
6.8%
Latin 1398
 
3.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1100
 
3.3%
이 916
 
2.7%
주 888
 
2.6%
리 748
 
2.2%
스 660
 
2.0%
점 594
 
1.8%
품 537
 
1.6%
당 398
 
1.2%
마 378
 
1.1%
수 358
 
1.1%
Other values (810) 26984
80.4%
Latin
ValueCountFrequency (%)
e 81
 
5.8%
o 74
 
5.3%
a 67
 
4.8%
E 66
 
4.7%
n 57
 
4.1%
O 56
 
4.0%
r 53
 
3.8%
i 51
 
3.6%
s 45
 
3.2%
t 44
 
3.1%
Other values (39) 804
57.5%
Common
ValueCountFrequency (%)
) 718
28.0%
( 714
27.9%
703
27.4%
2 80
 
3.1%
0 75
 
2.9%
5 40
 
1.6%
& 36
 
1.4%
1 29
 
1.1%
7 22
 
0.9%
. 21
 
0.8%
Other values (13) 125
 
4.9%
Han
ValueCountFrequency (%)
新 1
33.3%
海 1
33.3%
浪 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33561
89.4%
ASCII 3955
 
10.5%
None 6
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1100
 
3.3%
이 916
 
2.7%
주 888
 
2.6%
리 748
 
2.2%
스 660
 
2.0%
점 594
 
1.8%
품 537
 
1.6%
당 398
 
1.2%
마 378
 
1.1%
수 358
 
1.1%
Other values (810) 26984
80.4%
ASCII
ValueCountFrequency (%)
) 718
18.2%
( 714
18.1%
703
17.8%
e 81
 
2.0%
2 80
 
2.0%
0 75
 
1.9%
o 74
 
1.9%
a 67
 
1.7%
E 66
 
1.7%
n 57
 
1.4%
Other values (61) 1320
33.4%
None
ValueCountFrequency (%)
？ 6
100.0%
CJK
ValueCountFrequency (%)
新 1
33.3%
海 1
33.3%
浪 1
33.3%

소재지도로명
Text

MISSING 

Distinct2665
Distinct (%)47.7%
Missing1236
Missing (%)18.1%
Memory size53.4 KiB
2024-05-04T05:49:22.919547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length57
Mean length32.758102
Min length22

Characters and Unicode

Total characters182954
Distinct characters331
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1626 ?
Unique (%)29.1%

Sample

1st row서울특별시 성동구 왕십리로 232, (행당동)
2nd row서울특별시 성동구 성덕정길 111, (성수동2가)
3rd row서울특별시 성동구 금호산길 63-1, (금호동2가)
4th row서울특별시 성동구 금호산길 63-1, (금호동2가)
5th row서울특별시 성동구 금호산길 63-1, (금호동2가)
ValueCountFrequency (%)
서울특별시 5585
 
17.3%
성동구 5585
 
17.3%
성수동2가 1038
 
3.2%
행당동 677
 
2.1%
성수동1가 596
 
1.8%
1층 552
 
1.7%
왕십리로 303
 
0.9%
용답동 277
 
0.9%
지상1층 268
 
0.8%
33 233
 
0.7%
Other values (2159) 17180
53.2%
2024-05-04T05:49:24.306215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26719
 
14.6%
동 11751
 
6.4%
, 8925
 
4.9%
1 8870
 
4.8%
성 8824
 
4.8%
) 6662
 
3.6%
( 6662
 
3.6%
2 5971
 
3.3%
서 5934
 
3.2%
울 5737
 
3.1%
Other values (321) 86899
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101611
55.5%
Decimal Number 30396
 
16.6%
Space Separator 26719
 
14.6%
Other Punctuation 8946
 
4.9%
Close Punctuation 6662
 
3.6%
Open Punctuation 6662
 
3.6%
Dash Punctuation 1527
 
0.8%
Math Symbol 215
 
0.1%
Uppercase Letter 190
 
0.1%
Lowercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11751
 
11.6%
성 8824
 
8.7%
서 5934
 
5.8%
울 5737
 
5.6%
시 5657
 
5.6%
구 5597
 
5.5%
별 5586
 
5.5%
특 5585
 
5.5%
로 4124
 
4.1%
길 3645
 
3.6%
Other values (275) 39171
38.5%
Uppercase Letter
ValueCountFrequency (%)
B 100
52.6%
A 13
 
6.8%
D 11
 
5.8%
L 11
 
5.8%
T 10
 
5.3%
S 8
 
4.2%
C 7
 
3.7%
K 7
 
3.7%
I 5
 
2.6%
J 3
 
1.6%
Other values (10) 15
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 8870
29.2%
2 5971
19.6%
3 3448
 
11.3%
4 2423
 
8.0%
5 2174
 
7.2%
0 2001
 
6.6%
7 1552
 
5.1%
6 1507
 
5.0%
8 1246
 
4.1%
9 1204
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
16.7%
w 4
16.7%
e 4
16.7%
s 4
16.7%
k 4
16.7%
r 4
16.7%
Other Punctuation
ValueCountFrequency (%)
, 8925
99.8%
@ 11
 
0.1%
/ 7
 
0.1%
. 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
26719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6662
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6662
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1527
100.0%
Math Symbol
ValueCountFrequency (%)
~ 215
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101611
55.5%
Common 81127
44.3%
Latin 216
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11751
 
11.6%
성 8824
 
8.7%
서 5934
 
5.8%
울 5737
 
5.6%
시 5657
 
5.6%
구 5597
 
5.5%
별 5586
 
5.5%
특 5585
 
5.5%
로 4124
 
4.1%
길 3645
 
3.6%
Other values (275) 39171
38.5%
Latin
ValueCountFrequency (%)
B 100
46.3%
A 13
 
6.0%
D 11
 
5.1%
L 11
 
5.1%
T 10
 
4.6%
S 8
 
3.7%
C 7
 
3.2%
K 7
 
3.2%
I 5
 
2.3%
o 4
 
1.9%
Other values (17) 40
 
18.5%
Common
ValueCountFrequency (%)
26719
32.9%
, 8925
 
11.0%
1 8870
 
10.9%
) 6662
 
8.2%
( 6662
 
8.2%
2 5971
 
7.4%
3 3448
 
4.3%
4 2423
 
3.0%
5 2174
 
2.7%
0 2001
 
2.5%
Other values (9) 7272
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101611
55.5%
ASCII 81341
44.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26719
32.8%
, 8925
 
11.0%
1 8870
 
10.9%
) 6662
 
8.2%
( 6662
 
8.2%
2 5971
 
7.3%
3 3448
 
4.2%
4 2423
 
3.0%
5 2174
 
2.7%
0 2001
 
2.5%
Other values (35) 7486
 
9.2%
Hangul
ValueCountFrequency (%)
동 11751
 
11.6%
성 8824
 
8.7%
서 5934
 
5.8%
울 5737
 
5.6%
시 5657
 
5.6%
구 5597
 
5.5%
별 5586
 
5.5%
특 5585
 
5.5%
로 4124
 
4.1%
길 3645
 
3.6%
Other values (275) 39171
38.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

소재지지번
Text

Distinct3003
Distinct (%)44.0%
Missing2
Missing (%)< 0.1%
Memory size53.4 KiB
2024-05-04T05:49:24.965612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length29.749083
Min length21

Characters and Unicode

Total characters202859
Distinct characters329
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1769 ?
Unique (%)25.9%

Sample

1st row서울특별시 성동구 상왕십리동 775번지
2nd row서울특별시 성동구 하왕십리동 955번지 2호
3rd row서울특별시 성동구 행당동 29번지 4호
4th row서울특별시 성동구 성수동2가 570번지 3호
5th row서울특별시 성동구 성수동2가 570번지 3호
ValueCountFrequency (%)
서울특별시 6819
 
18.2%
성동구 6819
 
18.2%
성수동2가 1659
 
4.4%
행당동 1188
 
3.2%
지상1층 902
 
2.4%
성수동1가 888
 
2.4%
1호 585
 
1.6%
용답동 503
 
1.3%
도선동 492
 
1.3%
마장동 373
 
1.0%
Other values (1883) 17152
45.9%
2024-05-04T05:49:26.082860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47604
23.5%
동 13904
 
6.9%
성 9491
 
4.7%
1 9127
 
4.5%
지 8986
 
4.4%
2 6988
 
3.4%
울 6897
 
3.4%
서 6895
 
3.4%
시 6845
 
3.4%
번 6827
 
3.4%
Other values (319) 79295
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111599
55.0%
Space Separator 47604
23.5%
Decimal Number 38755
 
19.1%
Close Punctuation 1575
 
0.8%
Open Punctuation 1565
 
0.8%
Other Punctuation 896
 
0.4%
Dash Punctuation 301
 
0.1%
Math Symbol 293
 
0.1%
Uppercase Letter 245
 
0.1%
Lowercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13904
12.5%
성 9491
 
8.5%
지 8986
 
8.1%
울 6897
 
6.2%
서 6895
 
6.2%
시 6845
 
6.1%
번 6827
 
6.1%
구 6825
 
6.1%
별 6824
 
6.1%
특 6819
 
6.1%
Other values (271) 31286
28.0%
Uppercase Letter
ValueCountFrequency (%)
B 97
39.6%
A 42
17.1%
T 17
 
6.9%
D 12
 
4.9%
K 10
 
4.1%
S 9
 
3.7%
I 9
 
3.7%
C 7
 
2.9%
L 6
 
2.4%
R 5
 
2.0%
Other values (12) 31
 
12.7%
Decimal Number
ValueCountFrequency (%)
1 9127
23.6%
2 6988
18.0%
3 3998
10.3%
6 3024
 
7.8%
5 2960
 
7.6%
7 2826
 
7.3%
4 2813
 
7.3%
0 2536
 
6.5%
9 2248
 
5.8%
8 2235
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
w 4
16.7%
r 4
16.7%
e 4
16.7%
s 4
16.7%
o 4
16.7%
k 4
16.7%
Other Punctuation
ValueCountFrequency (%)
, 870
97.1%
@ 15
 
1.7%
/ 8
 
0.9%
. 3
 
0.3%
Space Separator
ValueCountFrequency (%)
47604
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1575
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%
Math Symbol
ValueCountFrequency (%)
~ 293
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111599
55.0%
Common 90989
44.9%
Latin 271
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13904
12.5%
성 9491
 
8.5%
지 8986
 
8.1%
울 6897
 
6.2%
서 6895
 
6.2%
시 6845
 
6.1%
번 6827
 
6.1%
구 6825
 
6.1%
별 6824
 
6.1%
특 6819
 
6.1%
Other values (271) 31286
28.0%
Latin
ValueCountFrequency (%)
B 97
35.8%
A 42
15.5%
T 17
 
6.3%
D 12
 
4.4%
K 10
 
3.7%
S 9
 
3.3%
I 9
 
3.3%
C 7
 
2.6%
L 6
 
2.2%
R 5
 
1.8%
Other values (19) 57
21.0%
Common
ValueCountFrequency (%)
47604
52.3%
1 9127
 
10.0%
2 6988
 
7.7%
3 3998
 
4.4%
6 3024
 
3.3%
5 2960
 
3.3%
7 2826
 
3.1%
4 2813
 
3.1%
0 2536
 
2.8%
9 2248
 
2.5%
Other values (9) 6865
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111599
55.0%
ASCII 91258
45.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47604
52.2%
1 9127
 
10.0%
2 6988
 
7.7%
3 3998
 
4.4%
6 3024
 
3.3%
5 2960
 
3.2%
7 2826
 
3.1%
4 2813
 
3.1%
0 2536
 
2.8%
9 2248
 
2.5%
Other values (37) 7134
 
7.8%
Hangul
ValueCountFrequency (%)
동 13904
12.5%
성 9491
 
8.5%
지 8986
 
8.1%
울 6897
 
6.2%
서 6895
 
6.2%
시 6845
 
6.1%
번 6827
 
6.1%
구 6825
 
6.1%
별 6824
 
6.1%
특 6819
 
6.1%
Other values (271) 31286
28.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2064
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20100519
Minimum2002110
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:26.496776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002110
5-th percentile20020205
Q120070220
median20110105
Q320151208
95-th percentile20230331
Maximum20240313
Range18238203
Interquartile range (IQR)80988

Descriptive statistics

Standard deviation455871.54
Coefficient of variation (CV)0.022679591
Kurtosis1477.0287
Mean20100519
Median Absolute Deviation (MAD)41096
Skewness-37.824839
Sum1.3710564 × 1011
Variance2.0781886 × 1011
MonotonicityNot monotonic
2024-05-04T05:49:26.958667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050120 173
 
2.5%
20151201 167
 
2.4%
20070220 120
 
1.8%
20060228 103
 
1.5%
20231226 86
 
1.3%
20231115 70
 
1.0%
20070402 65
 
1.0%
20090921 61
 
0.9%
20090608 50
 
0.7%
20201022 49
 
0.7%
Other values (2054) 5877
86.2%
ValueCountFrequency (%)
2002110 1
 
< 0.1%
2004050 3
 
< 0.1%
11111111 1
 
< 0.1%
20000324 2
 
< 0.1%
20001024 4
 
0.1%
20001101 11
0.2%
20001114 1
 
< 0.1%
20001116 1
 
< 0.1%
20001121 1
 
< 0.1%
20001128 3
 
< 0.1%
ValueCountFrequency (%)
20240313 4
 
0.1%
20240208 3
 
< 0.1%
20240201 2
 
< 0.1%
20240131 4
 
0.1%
20240119 1
 
< 0.1%
20231226 86
1.3%
20231225 7
 
0.1%
20231222 44
0.6%
20231218 43
0.6%
20231208 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
처분확정
6821 

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 6821
100.0%

Length

2024-05-04T05:49:27.282215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:49:27.581645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 6821
100.0%

처분명
Text

Distinct928
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
2024-05-04T05:49:28.135211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length61
Mean length11.126668
Min length1

Characters and Unicode

Total characters75895
Distinct characters301
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)6.8%

Sample

1st row영업소폐쇄
2nd row영업소폐쇄
3rd row영업소폐쇄
4th row과태료 20만원 부과
5th row과태료 16만원 부과(자진 납부에 따른 20% 감경)
ValueCountFrequency (%)
영업소폐쇄 1329
 
9.9%
과태료 900
 
6.7%
시정명령 824
 
6.1%
영업정지 803
 
6.0%
과태료부과 673
 
5.0%
부과 515
 
3.8%
따른 487
 
3.6%
20만원 337
 
2.5%
감경 278
 
2.1%
직권말소 270
 
2.0%
Other values (1016) 7044
52.3%
2024-05-04T05:49:29.103677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6667
 
8.8%
과 4946
 
6.5%
0 3544
 
4.7%
업 3164
 
4.2%
영 3011
 
4.0%
부 2791
 
3.7%
정 2648
 
3.5%
2 2333
 
3.1%
1 2285
 
3.0%
원 2206
 
2.9%
Other values (291) 42300
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52008
68.5%
Decimal Number 11718
 
15.4%
Space Separator 6667
 
8.8%
Other Punctuation 1911
 
2.5%
Open Punctuation 1653
 
2.2%
Close Punctuation 1651
 
2.2%
Math Symbol 154
 
0.2%
Dash Punctuation 116
 
0.2%
Uppercase Letter 16
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (260) 24896
47.9%
Decimal Number
ValueCountFrequency (%)
0 3544
30.2%
2 2333
19.9%
1 2285
19.5%
3 795
 
6.8%
6 667
 
5.7%
7 573
 
4.9%
5 546
 
4.7%
4 509
 
4.3%
8 290
 
2.5%
9 176
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 1057
55.3%
, 510
26.7%
% 256
 
13.4%
: 61
 
3.2%
/ 27
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 121
78.6%
+ 16
 
10.4%
> 11
 
7.1%
→ 4
 
2.6%
= 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 1590
96.2%
[ 61
 
3.7%
{ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1588
96.2%
] 61
 
3.7%
} 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 12
75.0%
I 4
 
25.0%
Space Separator
ValueCountFrequency (%)
6667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52008
68.5%
Common 23871
31.5%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (260) 24896
47.9%
Common
ValueCountFrequency (%)
6667
27.9%
0 3544
14.8%
2 2333
 
9.8%
1 2285
 
9.6%
( 1590
 
6.7%
) 1588
 
6.7%
. 1057
 
4.4%
3 795
 
3.3%
6 667
 
2.8%
7 573
 
2.4%
Other values (19) 2772
11.6%
Latin
ValueCountFrequency (%)
G 12
75.0%
I 4
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51998
68.5%
ASCII 23883
31.5%
Compat Jamo 10
 
< 0.1%
Arrows 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6667
27.9%
0 3544
14.8%
2 2333
 
9.8%
1 2285
 
9.6%
( 1590
 
6.7%
) 1588
 
6.6%
. 1057
 
4.4%
3 795
 
3.3%
6 667
 
2.8%
7 573
 
2.4%
Other values (20) 2784
11.7%
Hangul
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (258) 24886
47.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
80.0%
ㅂ 2
 
20.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%

법적근거
Text

Distinct620
Distinct (%)9.1%
Missing4
Missing (%)0.1%
Memory size53.4 KiB
2024-05-04T05:49:29.589393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length12.084495
Min length1

Characters and Unicode

Total characters82380
Distinct characters118
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)3.7%

Sample

1st row58조
2nd row22조 58조
3rd row식품위생법 제21조, 제58조
4th row식품위생법 제40조
5th row식품위생법 제40조
ValueCountFrequency (%)
법 3196
17.8%
식품위생법 2766
 
15.4%
및 857
 
4.8%
제37조 824
 
4.6%
제75조 793
 
4.4%
58조 781
 
4.3%
제71조 513
 
2.9%
제58조 494
 
2.7%
제31조 453
 
2.5%
제101조제4항1호 337
 
1.9%
Other values (407) 6951
38.7%
2024-05-04T05:49:30.442077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11212
13.6%
제 10310
12.5%
조 9930
12.1%
법 6914
 
8.4%
1 5730
 
7.0%
7 3849
 
4.7%
위 3332
 
4.0%
식 3306
 
4.0%
품 3291
 
4.0%
생 3242
 
3.9%
Other values (108) 21264
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45970
55.8%
Decimal Number 23632
28.7%
Space Separator 11212
 
13.6%
Other Punctuation 1419
 
1.7%
Open Punctuation 73
 
0.1%
Close Punctuation 73
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10310
22.4%
조 9930
21.6%
법 6914
15.0%
위 3332
 
7.2%
식 3306
 
7.2%
품 3291
 
7.2%
생 3242
 
7.1%
항 2007
 
4.4%
호 977
 
2.1%
및 927
 
2.0%
Other values (89) 1734
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 5730
24.2%
7 3849
16.3%
5 2707
11.5%
2 2510
10.6%
3 2486
10.5%
4 1999
 
8.5%
8 1946
 
8.2%
0 1396
 
5.9%
6 919
 
3.9%
9 90
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1411
99.4%
? 6
 
0.4%
. 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 72
98.6%
[ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 72
98.6%
] 1
 
1.4%
Space Separator
ValueCountFrequency (%)
11212
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45970
55.8%
Common 36410
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10310
22.4%
조 9930
21.6%
법 6914
15.0%
위 3332
 
7.2%
식 3306
 
7.2%
품 3291
 
7.2%
생 3242
 
7.1%
항 2007
 
4.4%
호 977
 
2.1%
및 927
 
2.0%
Other values (89) 1734
 
3.8%
Common
ValueCountFrequency (%)
11212
30.8%
1 5730
15.7%
7 3849
 
10.6%
5 2707
 
7.4%
2 2510
 
6.9%
3 2486
 
6.8%
4 1999
 
5.5%
8 1946
 
5.3%
, 1411
 
3.9%
0 1396
 
3.8%
Other values (9) 1164
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45953
55.8%
ASCII 36410
44.2%
Compat Jamo 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11212
30.8%
1 5730
15.7%
7 3849
 
10.6%
5 2707
 
7.4%
2 2510
 
6.9%
3 2486
 
6.8%
4 1999
 
5.5%
8 1946
 
5.3%
, 1411
 
3.9%
0 1396
 
3.8%
Other values (9) 1164
 
3.2%
Hangul
ValueCountFrequency (%)
제 10310
22.4%
조 9930
21.6%
법 6914
15.0%
위 3332
 
7.3%
식 3306
 
7.2%
품 3291
 
7.2%
생 3242
 
7.1%
항 2007
 
4.4%
호 977
 
2.1%
및 927
 
2.0%
Other values (86) 1717
 
3.7%
Compat Jamo
ValueCountFrequency (%)
ㅁ 7
41.2%
ㅜ 7
41.2%
ㅂ 3
17.6%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2113
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108172
Minimum2002114
Maximum20250817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:30.849033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002114
5-th percentile20020221
Q120070220
median20101229
Q320151208
95-th percentile20221231
Maximum20250817
Range18248703
Interquartile range (IQR)80988

Descriptive statistics

Standard deviation252245.04
Coefficient of variation (CV)0.012544404
Kurtosis4130.3869
Mean20108172
Median Absolute Deviation (MAD)49201
Skewness-60.89332
Sum1.3715784 × 1011
Variance6.3627558 × 1010
MonotonicityNot monotonic
2024-05-04T05:49:31.274836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221231 206
 
3.0%
20050120 171
 
2.5%
20151201 167
 
2.4%
20060228 103
 
1.5%
20070220 100
 
1.5%
20070402 62
 
0.9%
20211027 62
 
0.9%
20090921 52
 
0.8%
20201022 50
 
0.7%
20090608 50
 
0.7%
Other values (2103) 5798
85.0%
ValueCountFrequency (%)
2002114 1
 
< 0.1%
11111111 1
 
< 0.1%
20000324 2
< 0.1%
20001101 1
 
< 0.1%
20001114 1
 
< 0.1%
20001116 1
 
< 0.1%
20001121 1
 
< 0.1%
20001201 4
0.1%
20001205 3
< 0.1%
20001207 1
 
< 0.1%
ValueCountFrequency (%)
20250817 1
 
< 0.1%
20240313 4
 
0.1%
20240208 3
 
< 0.1%
20240131 4
 
0.1%
20240119 1
 
< 0.1%
20240101 1
 
< 0.1%
20231231 1
 
< 0.1%
20231230 1
 
< 0.1%
20231222 2
 
< 0.1%
20231218 43
0.6%

위반내용
Text

Distinct1615
Distinct (%)23.7%
Missing2
Missing (%)< 0.1%
Memory size53.4 KiB
2024-05-04T05:49:31.920900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length414
Median length172
Mean length17.811116
Min length1

Characters and Unicode

Total characters121454
Distinct characters674
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique825 ?
Unique (%)12.1%

Sample

1st row시설물멸실 및 6월이상무단휴업
2nd row시설물 멸실 및 6월이상 장기 휴업
3rd row정당한사유없이 6월이상무단휴업 및 시설물 멸실
4th row영업자 건강진단 미 실시
5th row영업자 건강진단 미 실시
ValueCountFrequency (%)
멸실 694
 
2.7%
및 654
 
2.5%
폐업신고 606
 
2.3%
미 590
 
2.3%
시설물 507
 
2.0%
위생교육 506
 
2.0%
454
 
1.8%
건강진단 395
 
1.5%
영업 361
 
1.4%
미이행 333
 
1.3%
Other values (2953) 20736
80.3%
2024-05-04T05:49:33.018648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20077
 
16.5%
업 3449
 
2.8%
미 3073
 
2.5%
시 2610
 
2.1%
이 2259
 
1.9%
2 2247
 
1.9%
위 2108
 
1.7%
영 1736
 
1.4%
실 1644
 
1.4%
물 1605
 
1.3%
Other values (664) 80646
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87840
72.3%
Space Separator 20077
 
16.5%
Decimal Number 7529
 
6.2%
Other Punctuation 1997
 
1.6%
Open Punctuation 1529
 
1.3%
Close Punctuation 1525
 
1.3%
Dash Punctuation 568
 
0.5%
Lowercase Letter 194
 
0.2%
Uppercase Letter 148
 
0.1%
Other Symbol 31
 
< 0.1%
Other values (3) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3449
 
3.9%
미 3073
 
3.5%
시 2610
 
3.0%
이 2259
 
2.6%
위 2108
 
2.4%
영 1736
 
2.0%
실 1644
 
1.9%
물 1605
 
1.8%
품 1598
 
1.8%
설 1587
 
1.8%
Other values (593) 66171
75.3%
Lowercase Letter
ValueCountFrequency (%)
g 71
36.6%
m 33
17.0%
k 19
 
9.8%
c 16
 
8.2%
a 7
 
3.6%
e 7
 
3.6%
t 6
 
3.1%
o 6
 
3.1%
y 5
 
2.6%
l 5
 
2.6%
Other values (8) 19
 
9.8%
Uppercase Letter
ValueCountFrequency (%)
O 17
11.5%
I 16
10.8%
L 15
10.1%
S 14
9.5%
A 14
9.5%
H 12
8.1%
N 9
 
6.1%
F 8
 
5.4%
D 8
 
5.4%
U 6
 
4.1%
Other values (8) 29
19.6%
Decimal Number
ValueCountFrequency (%)
2 2247
29.8%
0 1572
20.9%
1 1494
19.8%
6 719
 
9.5%
3 409
 
5.4%
8 269
 
3.6%
5 249
 
3.3%
4 243
 
3.2%
9 181
 
2.4%
7 146
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 537
26.9%
: 500
25.0%
, 490
24.5%
/ 324
16.2%
' 58
 
2.9%
? 56
 
2.8%
% 17
 
0.9%
* 10
 
0.5%
？ 5
 
0.3%
Other Symbol
ValueCountFrequency (%)
○ 13
41.9%
▣ 8
25.8%
▶ 6
19.4%
㈜ 2
 
6.5%
㎖ 2
 
6.5%
Math Symbol
ValueCountFrequency (%)
▷ 3
50.0%
× 2
33.3%
~ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1524
99.7%
[ 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1520
99.7%
] 5
 
0.3%
Space Separator
ValueCountFrequency (%)
20077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 568
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87839
72.3%
Common 33270
 
27.4%
Latin 342
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3449
 
3.9%
미 3073
 
3.5%
시 2610
 
3.0%
이 2259
 
2.6%
위 2108
 
2.4%
영 1736
 
2.0%
실 1644
 
1.9%
물 1605
 
1.8%
품 1598
 
1.8%
설 1587
 
1.8%
Other values (593) 66170
75.3%
Latin
ValueCountFrequency (%)
g 71
20.8%
m 33
 
9.6%
k 19
 
5.6%
O 17
 
5.0%
c 16
 
4.7%
I 16
 
4.7%
L 15
 
4.4%
S 14
 
4.1%
A 14
 
4.1%
H 12
 
3.5%
Other values (26) 115
33.6%
Common
ValueCountFrequency (%)
20077
60.3%
2 2247
 
6.8%
0 1572
 
4.7%
( 1524
 
4.6%
) 1520
 
4.6%
1 1494
 
4.5%
6 719
 
2.2%
- 568
 
1.7%
. 537
 
1.6%
: 500
 
1.5%
Other values (24) 2512
 
7.6%
Han
ValueCountFrequency (%)
無 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87829
72.3%
ASCII 33563
 
27.6%
Geometric Shapes 30
 
< 0.1%
Punctuation 10
 
< 0.1%
None 9
 
< 0.1%
Compat Jamo 8
 
< 0.1%
CJK 3
 
< 0.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20077
59.8%
2 2247
 
6.7%
0 1572
 
4.7%
( 1524
 
4.5%
) 1520
 
4.5%
1 1494
 
4.5%
6 719
 
2.1%
- 568
 
1.7%
. 537
 
1.6%
: 500
 
1.5%
Other values (51) 2805
 
8.4%
Hangul
ValueCountFrequency (%)
업 3449
 
3.9%
미 3073
 
3.5%
시 2610
 
3.0%
이 2259
 
2.6%
위 2108
 
2.4%
영 1736
 
2.0%
실 1644
 
1.9%
물 1605
 
1.8%
품 1598
 
1.8%
설 1587
 
1.8%
Other values (587) 66160
75.3%
Geometric Shapes
ValueCountFrequency (%)
○ 13
43.3%
▣ 8
26.7%
▶ 6
20.0%
▷ 3
 
10.0%
Punctuation
ValueCountFrequency (%)
‘ 5
50.0%
’ 5
50.0%
None
ValueCountFrequency (%)
？ 5
55.6%
㈜ 2
 
22.2%
× 2
 
22.2%
CJK
ValueCountFrequency (%)
無 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
25.0%
ㅣ 2
25.0%
ㅇ 2
25.0%
ㄹ 1
12.5%
ㄱ 1
12.5%
CJK Compat
ValueCountFrequency (%)
㎖ 2
100.0%

처분내용
Text

Distinct928
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
2024-05-04T05:49:33.643795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length61
Mean length11.126668
Min length1

Characters and Unicode

Total characters75895
Distinct characters301
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)6.8%

Sample

1st row영업소폐쇄
2nd row영업소폐쇄
3rd row영업소폐쇄
4th row과태료 20만원 부과
5th row과태료 16만원 부과(자진 납부에 따른 20% 감경)
ValueCountFrequency (%)
영업소폐쇄 1329
 
9.9%
과태료 900
 
6.7%
시정명령 824
 
6.1%
영업정지 803
 
6.0%
과태료부과 673
 
5.0%
부과 515
 
3.8%
따른 487
 
3.6%
20만원 337
 
2.5%
감경 278
 
2.1%
직권말소 270
 
2.0%
Other values (1016) 7044
52.3%
2024-05-04T05:49:34.821822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6667
 
8.8%
과 4946
 
6.5%
0 3544
 
4.7%
업 3164
 
4.2%
영 3011
 
4.0%
부 2791
 
3.7%
정 2648
 
3.5%
2 2333
 
3.1%
1 2285
 
3.0%
원 2206
 
2.9%
Other values (291) 42300
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52008
68.5%
Decimal Number 11718
 
15.4%
Space Separator 6667
 
8.8%
Other Punctuation 1911
 
2.5%
Open Punctuation 1653
 
2.2%
Close Punctuation 1651
 
2.2%
Math Symbol 154
 
0.2%
Dash Punctuation 116
 
0.2%
Uppercase Letter 16
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (260) 24896
47.9%
Decimal Number
ValueCountFrequency (%)
0 3544
30.2%
2 2333
19.9%
1 2285
19.5%
3 795
 
6.8%
6 667
 
5.7%
7 573
 
4.9%
5 546
 
4.7%
4 509
 
4.3%
8 290
 
2.5%
9 176
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 1057
55.3%
, 510
26.7%
% 256
 
13.4%
: 61
 
3.2%
/ 27
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 121
78.6%
+ 16
 
10.4%
> 11
 
7.1%
→ 4
 
2.6%
= 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 1590
96.2%
[ 61
 
3.7%
{ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1588
96.2%
] 61
 
3.7%
} 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 12
75.0%
I 4
 
25.0%
Space Separator
ValueCountFrequency (%)
6667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52008
68.5%
Common 23871
31.5%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (260) 24896
47.9%
Common
ValueCountFrequency (%)
6667
27.9%
0 3544
14.8%
2 2333
 
9.8%
1 2285
 
9.6%
( 1590
 
6.7%
) 1588
 
6.7%
. 1057
 
4.4%
3 795
 
3.3%
6 667
 
2.8%
7 573
 
2.4%
Other values (19) 2772
11.6%
Latin
ValueCountFrequency (%)
G 12
75.0%
I 4
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51998
68.5%
ASCII 23883
31.5%
Compat Jamo 10
 
< 0.1%
Arrows 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6667
27.9%
0 3544
14.8%
2 2333
 
9.8%
1 2285
 
9.6%
( 1590
 
6.7%
) 1588
 
6.6%
. 1057
 
4.4%
3 795
 
3.3%
6 667
 
2.8%
7 573
 
2.4%
Other values (20) 2784
11.7%
Hangul
ValueCountFrequency (%)
과 4946
 
9.5%
업 3164
 
6.1%
영 3011
 
5.8%
부 2791
 
5.4%
정 2648
 
5.1%
원 2206
 
4.2%
료 2120
 
4.1%
만 2111
 
4.1%
태 2071
 
4.0%
소 2044
 
3.9%
Other values (258) 24886
47.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
80.0%
ㅂ 2
 
20.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)2.7%
Missing6041
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean12.766667
Minimum0
Maximum30
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:35.160033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median15
Q315
95-th percentile15
Maximum30
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4700592
Coefficient of variation (CV)0.35013518
Kurtosis1.5415568
Mean12.766667
Median Absolute Deviation (MAD)0
Skewness0.077316248
Sum9958
Variance19.981429
MonotonicityNot monotonic
2024-05-04T05:49:35.459782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15 478
 
7.0%
7 148
 
2.2%
10 62
 
0.9%
5 24
 
0.4%
20 9
 
0.1%
4 8
 
0.1%
8 7
 
0.1%
16 6
 
0.1%
29 5
 
0.1%
13 5
 
0.1%
Other values (11) 28
 
0.4%
(Missing) 6041
88.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4
 
0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 8
 
0.1%
5 24
 
0.4%
7 148
2.2%
8 7
 
0.1%
10 62
0.9%
13 5
 
0.1%
ValueCountFrequency (%)
30 5
0.1%
29 5
0.1%
26 2
 
< 0.1%
24 1
 
< 0.1%
23 2
 
< 0.1%
22 2
 
< 0.1%
20 9
0.1%
18 3
 
< 0.1%
17 3
 
< 0.1%
16 6
0.1%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct812
Distinct (%)48.7%
Missing5152
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean130.4271
Minimum0
Maximum1183.1
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2024-05-04T05:49:35.801020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q136
median70
Q3131.1
95-th percentile582.4
Maximum1183.1
Range1183.1
Interquartile range (IQR)95.1

Descriptive statistics

Standard deviation189.06581
Coefficient of variation (CV)1.4495899
Kurtosis13.491087
Mean130.4271
Median Absolute Deviation (MAD)40
Skewness3.4441145
Sum217682.83
Variance35745.879
MonotonicityNot monotonic
2024-05-04T05:49:36.188747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1183.1 22
 
0.3%
33.0 18
 
0.3%
70.0 17
 
0.2%
78.03 16
 
0.2%
648.4 13
 
0.2%
582.4 13
 
0.2%
25.2 13
 
0.2%
75.53 12
 
0.2%
119.22 12
 
0.2%
250.49 12
 
0.2%
Other values (802) 1521
 
22.3%
(Missing) 5152
75.5%
ValueCountFrequency (%)
0.0 3
 
< 0.1%
1.0 10
0.1%
3.0 1
 
< 0.1%
3.3 4
 
0.1%
4.0 1
 
< 0.1%
4.5 2
 
< 0.1%
4.74 1
 
< 0.1%
5.2 1
 
< 0.1%
6.0 3
 
< 0.1%
6.6 1
 
< 0.1%
ValueCountFrequency (%)
1183.1 22
0.3%
1063.55 2
 
< 0.1%
848.0 1
 
< 0.1%
792.0 1
 
< 0.1%
786.91 1
 
< 0.1%
784.87 2
 
< 0.1%
775.0 1
 
< 0.1%
772.0 2
 
< 0.1%
754.96 4
 
0.1%
751.2 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
<NA>
6763 
직영
 
48
(조합)위탁
 
10

Length

Max length6
Median length4
Mean length3.9888579
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6763
99.1%
직영 48
 
0.7%
(조합)위탁 10
 
0.1%

Length

2024-05-04T05:49:36.563121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:49:36.879993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6763
99.1%
직영 48
 
0.7%
조합)위탁 10
 
0.1%

Interactions

2024-05-04T05:49:11.091017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:48:59.702271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:01.912988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:04.676766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:06.766346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:08.870719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:11.487036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:00.053092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:02.415764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:04.989440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:07.047825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:09.265259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:11.776895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:00.350143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:02.793151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:05.304955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:07.434783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:09.730890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:12.277693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:00.651853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:03.536933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:05.627481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:07.854856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:10.099898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:12.786689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:01.056057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:03.935326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:05.921422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:08.193802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:10.431693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:13.214956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:01.459543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:04.340553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:06.283977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:08.486995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:49:10.739559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T05:49:37.078461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.3020.4640.6090.0710.0000.5750.3610.599
교부번호0.3021.0000.5210.5960.0000.0000.3010.5300.000
업종명0.4640.5211.0001.0000.0000.0000.7230.582NaN
업태명0.6090.5961.0001.0000.2060.0000.7980.6440.602
지도점검일자0.0710.0000.0000.2061.0001.0000.0000.334NaN
위반일자0.0000.0000.0000.0001.0001.0000.076NaNNaN
처분기간0.5750.3010.7230.7980.0000.0761.0000.000NaN
영업장면적(㎡)0.3610.5300.5820.6440.334NaN0.0001.0001.000
운영형태0.5990.000NaN0.602NaNNaNNaN1.0001.000
2024-05-04T05:49:37.409052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명운영형태
업종명1.0001.000
운영형태1.0001.000
2024-05-04T05:49:37.640625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.5820.9990.998-0.294-0.0850.1910.426
교부번호0.5821.0000.5830.581-0.288-0.0280.2900.000
지도점검일자0.9990.5831.0000.999-0.293-0.0880.0001.000
위반일자0.9980.5810.9991.000-0.295-0.0910.0001.000
처분기간-0.294-0.288-0.293-0.2951.000-0.0080.2780.000
영업장면적(㎡)-0.085-0.028-0.088-0.091-0.0081.0000.2580.577
업종명0.1910.2900.0000.0000.2780.2581.0001.000
운영형태0.4260.0001.0001.0000.0000.5771.0001.000

Missing values

2024-05-04T05:49:13.819792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T05:49:14.605812image/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.
2024-05-04T05:49:15.130558image/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
030300002005012516750036001일반음식점한식삼우당<NA>서울특별시 성동구 상왕십리동 775번지20050120처분확정영업소폐쇄58조20050120시설물멸실 및 6월이상무단휴업영업소폐쇄<NA><NA><NA>
130300002007040919740036018일반음식점기타그때그집<NA>서울특별시 성동구 하왕십리동 955번지 2호20070402처분확정영업소폐쇄22조 58조20070402시설물 멸실 및 6월이상 장기 휴업영업소폐쇄<NA>14.04<NA>
230300002009011919760036027일반음식점한식대성식당서울특별시 성동구 왕십리로 232, (행당동)서울특별시 성동구 행당동 29번지 4호20090113처분확정영업소폐쇄식품위생법 제21조, 제58조20090113정당한사유없이 6월이상무단휴업 및 시설물 멸실영업소폐쇄<NA>36.72<NA>
330300002011042819760036010일반음식점한식쎄코시<NA>서울특별시 성동구 성수동2가 570번지 3호20110331처분확정과태료 20만원 부과식품위생법 제40조20110331영업자 건강진단 미 실시과태료 20만원 부과<NA><NA><NA>
430300002013010819760036010일반음식점한식햇잎갈비서울특별시 성동구 성덕정길 111, (성수동2가)서울특별시 성동구 성수동2가 570번지 3호20121217처분확정과태료 16만원 부과(자진 납부에 따른 20% 감경)식품위생법 제40조20121217영업자 건강진단 미 실시과태료 16만원 부과(자진 납부에 따른 20% 감경)<NA><NA><NA>
530300002011013119760036012일반음식점한식쇠뿔서울특별시 성동구 금호산길 63-1, (금호동2가)서울특별시 성동구 금호동2가 433번지20101230처분확정과태료 20만원 부과식품위생법 제3조20101230식품등 위생적 취급기준 위반과태료 20만원 부과<NA>70.0<NA>
630300002011112819760036012일반음식점한식쇠뿔서울특별시 성동구 금호산길 63-1, (금호동2가)서울특별시 성동구 금호동2가 433번지20111102처분확정과태료 32만원 부과(자진 납부에 따른 20% 감경)식품위생법 제40조20111102종사자 건강진단 미 실시(1/2)과태료 32만원 부과(자진 납부에 따른 20% 감경)<NA>70.0<NA>
730300002015122819760036012일반음식점한식쇠뿔서울특별시 성동구 금호산길 63-1, (금호동2가)서울특별시 성동구 금호동2가 433번지20151201처분확정영업소폐쇄(제37조제7항에 따른 직권말소)법 제37조 7항20151201폐업신고 미이행영업소폐쇄(제37조제7항에 따른 직권말소)<NA>70.0<NA>
830300002020033019760036058일반음식점중국식영생원서울특별시 성동구 성덕정길 120, 2층 (성수동2가, 574-5)서울특별시 성동구 성수동2가 574번지 5호20200206처분확정영업소폐쇄법 제71조, 법 제74조 및 법 제75조20200206폐업신고 미이행영업소폐쇄<NA><NA><NA>
930300002020033019760036058일반음식점중국식영생원서울특별시 성동구 성덕정길 120, 2층 (성수동2가, 574-5)서울특별시 성동구 성수동2가 574번지 5호20200206처분확정영업소폐쇄법 제71조, 법 제74조 및 법 제75조20200206폐업신고 미이행영업소폐쇄<NA>71.0<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
681130300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7582.4<NA>
681230300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7648.4<NA>
681330300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7<NA><NA>
681430300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7582.4<NA>
681530300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7648.4<NA>
681630300002020031720190036223건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 넥스트플레이어서울특별시 성동구 성수이로22길 60, 5층 (성수동2가)서울특별시 성동구 성수동2가 277번지 70호 케이투코리아 물류센타20191205처분확정품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)법 제14조부터 제17조까지201912051. 소비자 기만광고(체험기 광고) 2. 심의 대상 중 심의를 받지 않거나 심의 결과에 따르지 않은 표시 광고품목판매정지(해당제품: 맥스부스터, 월야, 알푸민11) 15일, 품목판매정지(해당제품: G스템마맥스 스위치)7<NA><NA>
681730300002021102820190036250건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 오라팜서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 1807호,1808호 (성수동2가)서울특별시 성동구 성수동2가 308번지 4호 서울숲코오롱디지털타워20211006처분확정과태료 16만원 부과법 제47조제1항제6호202110062020년 건강기능식품 위생교육 미이수과태료 16만원 부과<NA>281.42<NA>
681830300002021102820190036250건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 오라팜서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 1807호,1808호 (성수동2가)서울특별시 성동구 성수동2가 308번지 4호 서울숲코오롱디지털타워20211006처분확정과태료 16만원 부과법 제47조제1항제6호202110062020년 건강기능식품 위생교육 미이수과태료 16만원 부과<NA><NA><NA>
681930300002023120720200037361건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 에이앤에이바이오서울특별시 성동구 상원1길 25, 4층 4134호 (성수동1가)서울특별시 성동구 성수동1가 656번지 1572호20231201처분확정과태료 20만원 부과법 제47조제1항제6호202311272022년 건강기능식품 위생교육 미이수과태료 20만원 부과<NA>3.3<NA>
682030300002023120720200037361건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 에이앤에이바이오서울특별시 성동구 상원1길 25, 4층 4134호 (성수동1가)서울특별시 성동구 성수동1가 656번지 1572호20231201처분확정과태료 20만원 부과법 제47조제1항제6호202311272022년 건강기능식품 위생교육 미이수과태료 20만원 부과<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
17630300002007032219860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정품목류제조정지갈음420만부과식품위생법제10조20070220일반미순쌀떡 유통기한 미표시품목류제조정지갈음420만부과15<NA><NA>18
18230300002007032819860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정시정명령식품위생법제10조20070220일반미순쌀떡 유통기한 미표시시정명령<NA><NA><NA>18
31730300002009071519800036044식품제조가공업식품제조가공업건영글로벌케이<NA>서울특별시 성동구 상왕십리동 106번지 ,108 (지상1~2층)20090608처분확정과태료20만원부과식품위생법 제78조20090608식품위생법 제3조과태료20만원부과<NA><NA><NA>12
1030300002001052319860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수일로 77, (성수동1가,,255)서울특별시 성동구 성수동1가 13번지 171호 ,25520010327처분확정칡냉면 품목제조정지, 시정명령, 시정시지법 제58, 65조20010327유통기한 미표시, 일괄표시미표시, 식품제조기준위반, 유통기간경과제품 보관칡냉면 품목제조정지, 시정명령, 시정시지15<NA><NA>9
3030300002001121819860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수일로 77, (성수동1가,,255)서울특별시 성동구 성수동1가 13번지 171호 ,25520001101처분확정시설개수명령제21조 및 58조20011024급수시설기준위반시설개수명령<NA><NA><NA>9
3130300002001121819860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수일로 77, (성수동1가,,255)서울특별시 성동구 성수동1가 13번지 171호 ,25520011024처분확정시설개수명령법 21, 31조20011024급수시설 기준 부적합 1차시설개수명령<NA><NA><NA>9
17230300002007032219860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정품목류제조정지갈음420만부과식품위생법 제10조20070220일반미순쌀떡 유통기한미표시품목류제조정지갈음420만부과15<NA><NA>9
17330300002007032219860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정품목류제조정지갈음420만부과식품위생법 제10조20070420일반미순쌀덕 유통기한 미표시품목류제조정지갈음420만부과15<NA><NA>9
17430300002007032219860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정품목류제조정지갈음420만부과식품위생법10조20070220일반미순쌀떡 유통기한 미표시품목류제조정지갈음420만부과15<NA><NA>9
17730300002007032219860036177식품제조가공업식품제조가공업평화식품서울특별시 성동구 성수이로24길 33, (성수동2가,(1~5층))서울특별시 성동구 성수동2가 277번지 174호 (1~5층)20070220처분확정품목류제조정지갈음420만부과식품위생법제10조20070220일반미순쌀떡 제품제조공장 미표시품목류제조정지갈음420만부과15<NA><NA>9