Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells14263
Missing cells (%)7.9%
Duplicate rows370
Duplicate rows (%)3.7%
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-11451/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 370 (3.7%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 영업장면적(㎡) and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
영업장면적(㎡) is highly overall correlated with 운영형태High correlation
운영형태 is highly imbalanced (97.9%)Imbalance
업태명 has 139 (1.4%) missing valuesMissing
소재지도로명 has 217 (2.2%) missing valuesMissing
처분기간 has 8930 (89.3%) missing valuesMissing
영업장면적(㎡) has 4970 (49.7%) missing valuesMissing
처분일자 is highly skewed (γ1 = -59.66200841)Skewed

Reproduction

Analysis started2024-05-11 06:04:51.710281
Analysis finished2024-05-11 06:05:04.188642
Duration12.48 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
3230000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 10000
100.0%

Length

2024-05-11T15:05:04.311730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:04.476303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2602
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136807
Minimum11111111
Maximum21040724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:04.682646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11111111
5-th percentile20031215
Q120090722
median20150514
Q320180618
95-th percentile20211224
Maximum21040724
Range9929613
Interquartile range (IQR)89896

Descriptive statistics

Standard deviation107218.07
Coefficient of variation (CV)0.0053244821
Kurtosis5022.8876
Mean20136807
Median Absolute Deviation (MAD)40104
Skewness-59.662008
Sum2.0136807 × 1011
Variance1.1495713 × 1010
MonotonicityNot monotonic
2024-05-11T15:05:04.999192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211224 395
 
4.0%
20170627 321
 
3.2%
20170222 312
 
3.1%
20161223 293
 
2.9%
20161004 73
 
0.7%
20140218 72
 
0.7%
20140626 66
 
0.7%
20201109 60
 
0.6%
20161226 49
 
0.5%
20170607 46
 
0.5%
Other values (2592) 8313
83.1%
ValueCountFrequency (%)
11111111 1
 
< 0.1%
20020913 2
< 0.1%
20020918 1
 
< 0.1%
20020919 1
 
< 0.1%
20020924 1
 
< 0.1%
20020927 4
< 0.1%
20020928 1
 
< 0.1%
20020930 1
 
< 0.1%
20021007 4
< 0.1%
20021008 1
 
< 0.1%
ValueCountFrequency (%)
21040724 1
 
< 0.1%
20240510 4
< 0.1%
20240424 1
 
< 0.1%
20240405 4
< 0.1%
20240401 2
< 0.1%
20240325 1
 
< 0.1%
20240305 3
< 0.1%
20240304 1
 
< 0.1%
20240229 1
 
< 0.1%
20240226 2
< 0.1%

교부번호
Real number (ℝ)

Distinct6062
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0044634 × 1010
Minimum1.8990114 × 1010
Maximum2.0230149 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:05.305387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8990114 × 1010
5-th percentile1.9910115 × 1010
Q11.9990115 × 1010
median2.0040116 × 1010
Q32.0110114 × 1010
95-th percentile2.0170116 × 1010
Maximum2.0230149 × 1010
Range1.2400349 × 109
Interquartile range (IQR)1.1999916 × 108

Descriptive statistics

Standard deviation82181312
Coefficient of variation (CV)0.0040999158
Kurtosis2.0352664
Mean2.0044634 × 1010
Median Absolute Deviation (MAD)60000159
Skewness-0.27788685
Sum2.0044634 × 1014
Variance6.753768 × 1015
MonotonicityNot monotonic
2024-05-11T15:05:05.681187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140114284 39
 
0.4%
20000115215 35
 
0.4%
20000115778 29
 
0.3%
20000114898 27
 
0.3%
20060114414 24
 
0.2%
19940114206 24
 
0.2%
20010115969 22
 
0.2%
20050114611 21
 
0.2%
20150115336 21
 
0.2%
20010114944 20
 
0.2%
Other values (6052) 9738
97.4%
ValueCountFrequency (%)
18990114004 1
 
< 0.1%
19740114001 1
 
< 0.1%
19760114002 1
 
< 0.1%
19760114010 1
 
< 0.1%
19780114008 1
 
< 0.1%
19780114009 1
 
< 0.1%
19790114014 1
 
< 0.1%
19800114025 1
 
< 0.1%
19800114027 2
< 0.1%
19800114035 3
< 0.1%
ValueCountFrequency (%)
20230148896 1
< 0.1%
20230148594 1
< 0.1%
20230148337 1
< 0.1%
20230148240 1
< 0.1%
20230147922 2
< 0.1%
20230147586 1
< 0.1%
20230147519 1
< 0.1%
20230147518 1
< 0.1%
20230147517 1
< 0.1%
20230147516 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5862 
단란주점
617 
유흥주점영업
606 
휴게음식점
 
530
식품제조가공업
 
506
Other values (17)
1879 

Length

Max length13
Median length5
Mean length5.7692
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5862
58.6%
단란주점 617
 
6.2%
유흥주점영업 606
 
6.1%
휴게음식점 530
 
5.3%
식품제조가공업 506
 
5.1%
건강기능식품일반판매업 477
 
4.8%
즉석판매제조가공업 408
 
4.1%
식품등 수입판매업 250
 
2.5%
식품소분업 205
 
2.1%
유통전문판매업 197
 
2.0%
Other values (12) 342
 
3.4%

Length

2024-05-11T15:05:05.979132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5862
57.2%
단란주점 617
 
6.0%
유흥주점영업 606
 
5.9%
휴게음식점 530
 
5.2%
식품제조가공업 506
 
4.9%
건강기능식품일반판매업 477
 
4.7%
즉석판매제조가공업 408
 
4.0%
식품등 250
 
2.4%
수입판매업 250
 
2.4%
식품소분업 205
 
2.0%
Other values (13) 539
 
5.3%

업태명
Text

MISSING 

Distinct72
Distinct (%)0.7%
Missing139
Missing (%)1.4%
Memory size156.2 KiB
2024-05-11T15:05:06.378895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length3.9945239
Min length2

Characters and Unicode

Total characters39390
Distinct characters153
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

Unique11 ?
Unique (%)0.1%

Sample

1st row식품제조가공업
2nd row룸살롱
3rd row호프/통닭
4th row한식
5th row분식
ValueCountFrequency (%)
한식 2899
27.9%
기타 829
 
8.0%
단란주점 617
 
5.9%
식품제조가공업 506
 
4.9%
경양식 494
 
4.8%
호프/통닭 483
 
4.7%
분식 479
 
4.6%
룸살롱 464
 
4.5%
즉석판매제조가공업 408
 
3.9%
수입판매업 250
 
2.4%
Other values (62) 2946
28.4%
2024-05-11T15:05:07.029832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5715
 
14.5%
한 2899
 
7.4%
업 2131
 
5.4%
매 1483
 
3.8%
판 1482
 
3.8%
품 1151
 
2.9%
조 1088
 
2.8%
제 1024
 
2.6%
점 941
 
2.4%
기 929
 
2.4%
Other values (143) 20547
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37716
95.8%
Other Punctuation 766
 
1.9%
Space Separator 514
 
1.3%
Open Punctuation 197
 
0.5%
Close Punctuation 197
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5715
 
15.2%
한 2899
 
7.7%
업 2131
 
5.7%
매 1483
 
3.9%
판 1482
 
3.9%
품 1151
 
3.1%
조 1088
 
2.9%
제 1024
 
2.7%
점 941
 
2.5%
기 929
 
2.5%
Other values (137) 18873
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 753
98.3%
, 9
 
1.2%
. 4
 
0.5%
Space Separator
ValueCountFrequency (%)
514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37716
95.8%
Common 1674
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5715
 
15.2%
한 2899
 
7.7%
업 2131
 
5.7%
매 1483
 
3.9%
판 1482
 
3.9%
품 1151
 
3.1%
조 1088
 
2.9%
제 1024
 
2.7%
점 941
 
2.5%
기 929
 
2.5%
Other values (137) 18873
50.0%
Common
ValueCountFrequency (%)
/ 753
45.0%
514
30.7%
( 197
 
11.8%
) 197
 
11.8%
, 9
 
0.5%
. 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37716
95.8%
ASCII 1674
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5715
 
15.2%
한 2899
 
7.7%
업 2131
 
5.7%
매 1483
 
3.9%
판 1482
 
3.9%
품 1151
 
3.1%
조 1088
 
2.9%
제 1024
 
2.7%
점 941
 
2.5%
기 929
 
2.5%
Other values (137) 18873
50.0%
ASCII
ValueCountFrequency (%)
/ 753
45.0%
514
30.7%
( 197
 
11.8%
) 197
 
11.8%
, 9
 
0.5%
. 4
 
0.2%

업소명
Text

Distinct5965
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:05:07.645767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length5.6252
Min length1

Characters and Unicode

Total characters56252
Distinct characters987
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4198 ?
Unique (%)42.0%

Sample

1st row청담원
2nd row거북이 유흥주점
3rd rowK.PUB (케이펍)스테이크& 치킨
4th row중국퓨전요리취룡
5th row탁꼬치킨
ValueCountFrequency (%)
인광로스팅커피 39
 
0.3%
잠실점 39
 
0.3%
송파점 38
 
0.3%
방이점 35
 
0.3%
카페 34
 
0.3%
주식회사 32
 
0.3%
라이브 29
 
0.2%
투다리 28
 
0.2%
문정점 28
 
0.2%
유한회사 26
 
0.2%
Other values (6589) 11816
97.3%
2024-05-11T15:05:08.912528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2146
 
3.8%
이 1416
 
2.5%
) 1347
 
2.4%
( 1344
 
2.4%
주 1268
 
2.3%
스 1116
 
2.0%
리 951
 
1.7%
점 900
 
1.6%
식 711
 
1.3%
가 542
 
1.0%
Other values (977) 44511
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48491
86.2%
Space Separator 2146
 
3.8%
Close Punctuation 1347
 
2.4%
Open Punctuation 1344
 
2.4%
Uppercase Letter 1173
 
2.1%
Lowercase Letter 948
 
1.7%
Decimal Number 639
 
1.1%
Other Punctuation 144
 
0.3%
Dash Punctuation 17
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1416
 
2.9%
주 1268
 
2.6%
스 1116
 
2.3%
리 951
 
2.0%
점 900
 
1.9%
식 711
 
1.5%
가 542
 
1.1%
마 510
 
1.1%
아 501
 
1.0%
산 498
 
1.0%
Other values (898) 40078
82.7%
Uppercase Letter
ValueCountFrequency (%)
S 122
 
10.4%
B 87
 
7.4%
O 87
 
7.4%
T 82
 
7.0%
A 77
 
6.6%
E 74
 
6.3%
C 71
 
6.1%
F 54
 
4.6%
N 48
 
4.1%
M 46
 
3.9%
Other values (16) 425
36.2%
Lowercase Letter
ValueCountFrequency (%)
e 133
14.0%
a 100
 
10.5%
o 99
 
10.4%
i 65
 
6.9%
r 60
 
6.3%
t 47
 
5.0%
n 45
 
4.7%
c 45
 
4.7%
f 38
 
4.0%
h 38
 
4.0%
Other values (15) 278
29.3%
Other Punctuation
ValueCountFrequency (%)
. 56
38.9%
& 37
25.7%
, 16
 
11.1%
？ 10
 
6.9%
' 7
 
4.9%
! 6
 
4.2%
? 4
 
2.8%
; 3
 
2.1%
# 2
 
1.4%
@ 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
0 140
21.9%
2 136
21.3%
8 73
11.4%
1 72
11.3%
7 70
11.0%
4 41
 
6.4%
3 33
 
5.2%
5 30
 
4.7%
9 30
 
4.7%
6 14
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
2146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1347
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48480
86.2%
Common 5640
 
10.0%
Latin 2121
 
3.8%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1416
 
2.9%
주 1268
 
2.6%
스 1116
 
2.3%
리 951
 
2.0%
점 900
 
1.9%
식 711
 
1.5%
가 542
 
1.1%
마 510
 
1.1%
아 501
 
1.0%
산 498
 
1.0%
Other values (893) 40067
82.6%
Latin
ValueCountFrequency (%)
e 133
 
6.3%
S 122
 
5.8%
a 100
 
4.7%
o 99
 
4.7%
B 87
 
4.1%
O 87
 
4.1%
T 82
 
3.9%
A 77
 
3.6%
E 74
 
3.5%
C 71
 
3.3%
Other values (41) 1189
56.1%
Common
ValueCountFrequency (%)
2146
38.0%
) 1347
23.9%
( 1344
23.8%
0 140
 
2.5%
2 136
 
2.4%
8 73
 
1.3%
1 72
 
1.3%
7 70
 
1.2%
. 56
 
1.0%
4 41
 
0.7%
Other values (18) 215
 
3.8%
Han
ValueCountFrequency (%)
辛 6
54.5%
家 2
 
18.2%
安 1
 
9.1%
福 1
 
9.1%
味 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48480
86.2%
ASCII 7750
 
13.8%
CJK 11
 
< 0.1%
None 10
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2146
27.7%
) 1347
17.4%
( 1344
17.3%
0 140
 
1.8%
2 136
 
1.8%
e 133
 
1.7%
S 122
 
1.6%
a 100
 
1.3%
o 99
 
1.3%
B 87
 
1.1%
Other values (67) 2096
27.0%
Hangul
ValueCountFrequency (%)
이 1416
 
2.9%
주 1268
 
2.6%
스 1116
 
2.3%
리 951
 
2.0%
점 900
 
1.9%
식 711
 
1.5%
가 542
 
1.1%
마 510
 
1.1%
아 501
 
1.0%
산 498
 
1.0%
Other values (893) 40067
82.6%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK
ValueCountFrequency (%)
辛 6
54.5%
家 2
 
18.2%
安 1
 
9.1%
福 1
 
9.1%
味 1
 
9.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지도로명
Text

MISSING 

Distinct5553
Distinct (%)56.8%
Missing217
Missing (%)2.2%
Memory size156.2 KiB
2024-05-11T15:05:09.430079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length61
Mean length32.110702
Min length22

Characters and Unicode

Total characters314139
Distinct characters413
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3719 ?
Unique (%)38.0%

Sample

1st row서울특별시 송파구 오금로34길 8-23, 지하1층 (가락동)
2nd row서울특별시 송파구 송파대로28길 13, (가락동,(지하1층))
3rd row서울특별시 송파구 법원로 114, C동 225호 (문정동, 일원엠스테이트)
4th row서울특별시 송파구 송파대로28길 12, (가락동)
5th row서울특별시 송파구 가락로 138, (송파동)
ValueCountFrequency (%)
서울특별시 9783
 
17.1%
송파구 9783
 
17.1%
가락동 1494
 
2.6%
지상1층 1083
 
1.9%
방이동 1063
 
1.9%
잠실동 1021
 
1.8%
지하1층 831
 
1.5%
1층 789
 
1.4%
문정동 751
 
1.3%
석촌동 707
 
1.2%
Other values (3638) 29741
52.1%
2024-05-11T15:05:10.363276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47335
 
15.1%
, 14483
 
4.6%
1 13985
 
4.5%
파 12194
 
3.9%
송 12151
 
3.9%
동 10814
 
3.4%
) 10360
 
3.3%
( 10360
 
3.3%
시 10040
 
3.2%
서 9816
 
3.1%
Other values (403) 162601
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180615
57.5%
Decimal Number 47996
 
15.3%
Space Separator 47335
 
15.1%
Other Punctuation 14565
 
4.6%
Close Punctuation 10361
 
3.3%
Open Punctuation 10361
 
3.3%
Dash Punctuation 1962
 
0.6%
Uppercase Letter 863
 
0.3%
Lowercase Letter 54
 
< 0.1%
Math Symbol 25
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 12194
 
6.8%
송 12151
 
6.7%
동 10814
 
6.0%
시 10040
 
5.6%
서 9816
 
5.4%
울 9803
 
5.4%
구 9801
 
5.4%
별 9786
 
5.4%
특 9784
 
5.4%
로 9767
 
5.4%
Other values (343) 76659
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 268
31.1%
A 192
22.2%
C 77
 
8.9%
G 49
 
5.7%
S 41
 
4.8%
Y 32
 
3.7%
T 30
 
3.5%
L 29
 
3.4%
F 25
 
2.9%
E 23
 
2.7%
Other values (11) 97
 
11.2%
Lowercase Letter
ValueCountFrequency (%)
b 16
29.6%
t 8
14.8%
a 4
 
7.4%
c 4
 
7.4%
u 4
 
7.4%
l 4
 
7.4%
g 3
 
5.6%
s 3
 
5.6%
e 3
 
5.6%
i 2
 
3.7%
Other values (3) 3
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 13985
29.1%
2 8135
16.9%
3 5339
 
11.1%
4 3785
 
7.9%
0 3761
 
7.8%
6 2856
 
6.0%
5 2752
 
5.7%
8 2585
 
5.4%
9 2418
 
5.0%
7 2380
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 14483
99.4%
/ 34
 
0.2%
. 26
 
0.2%
& 8
 
0.1%
？ 7
 
< 0.1%
; 6
 
< 0.1%
* 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10360
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 10360
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
47335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1962
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%
Letter Number
ValueCountFrequency (%)
ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180615
57.5%
Common 132606
42.2%
Latin 918
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 12194
 
6.8%
송 12151
 
6.7%
동 10814
 
6.0%
시 10040
 
5.6%
서 9816
 
5.4%
울 9803
 
5.4%
구 9801
 
5.4%
별 9786
 
5.4%
특 9784
 
5.4%
로 9767
 
5.4%
Other values (343) 76659
42.4%
Latin
ValueCountFrequency (%)
B 268
29.2%
A 192
20.9%
C 77
 
8.4%
G 49
 
5.3%
S 41
 
4.5%
Y 32
 
3.5%
T 30
 
3.3%
L 29
 
3.2%
F 25
 
2.7%
E 23
 
2.5%
Other values (25) 152
16.6%
Common
ValueCountFrequency (%)
47335
35.7%
, 14483
 
10.9%
1 13985
 
10.5%
) 10360
 
7.8%
( 10360
 
7.8%
2 8135
 
6.1%
3 5339
 
4.0%
4 3785
 
2.9%
0 3761
 
2.8%
6 2856
 
2.2%
Other values (15) 12207
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180615
57.5%
ASCII 133516
42.5%
None 7
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47335
35.5%
, 14483
 
10.8%
1 13985
 
10.5%
) 10360
 
7.8%
( 10360
 
7.8%
2 8135
 
6.1%
3 5339
 
4.0%
4 3785
 
2.8%
0 3761
 
2.8%
6 2856
 
2.1%
Other values (48) 13117
 
9.8%
Hangul
ValueCountFrequency (%)
파 12194
 
6.8%
송 12151
 
6.7%
동 10814
 
6.0%
시 10040
 
5.6%
서 9816
 
5.4%
울 9803
 
5.4%
구 9801
 
5.4%
별 9786
 
5.4%
특 9784
 
5.4%
로 9767
 
5.4%
Other values (343) 76659
42.4%
None
ValueCountFrequency (%)
？ 7
100.0%
Number Forms
ValueCountFrequency (%)
ⅱ 1
100.0%

소재지지번
Text

Distinct5328
Distinct (%)53.3%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:05:10.917300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length53
Mean length28.271108
Min length20

Characters and Unicode

Total characters282598
Distinct characters398
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3456 ?
Unique (%)34.6%

Sample

1st row서울특별시 송파구 가락동 5번지 9호 지하1층
2nd row서울특별시 송파구 가락동 98번지 7호 (지하1층)
3rd row서울특별시 송파구 문정동 643번지 1호
4th row서울특별시 송파구 가락동 99번지 1호
5th row서울특별시 송파구 송파동 98번지 6호
ValueCountFrequency (%)
서울특별시 9996
 
17.7%
송파구 9996
 
17.7%
가락동 2257
 
4.0%
잠실동 1533
 
2.7%
방이동 1401
 
2.5%
지상1층 1009
 
1.8%
문정동 962
 
1.7%
1호 932
 
1.7%
지하1층 922
 
1.6%
석촌동 898
 
1.6%
Other values (2378) 26452
46.9%
2024-05-11T15:05:11.739043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70584
25.0%
1 13283
 
4.7%
지 13279
 
4.7%
파 11020
 
3.9%
송 10716
 
3.8%
동 10343
 
3.7%
시 10179
 
3.6%
서 10032
 
3.5%
울 10015
 
3.5%
구 10011
 
3.5%
Other values (388) 113136
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162186
57.4%
Space Separator 70584
25.0%
Decimal Number 46222
 
16.4%
Dash Punctuation 955
 
0.3%
Other Punctuation 761
 
0.3%
Close Punctuation 629
 
0.2%
Open Punctuation 628
 
0.2%
Uppercase Letter 577
 
0.2%
Lowercase Letter 35
 
< 0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 13279
 
8.2%
파 11020
 
6.8%
송 10716
 
6.6%
동 10343
 
6.4%
시 10179
 
6.3%
서 10032
 
6.2%
울 10015
 
6.2%
구 10011
 
6.2%
번 10002
 
6.2%
별 10001
 
6.2%
Other values (333) 56588
34.9%
Uppercase Letter
ValueCountFrequency (%)
B 166
28.8%
A 124
21.5%
C 42
 
7.3%
S 36
 
6.2%
T 30
 
5.2%
G 28
 
4.9%
F 23
 
4.0%
L 23
 
4.0%
I 18
 
3.1%
Y 15
 
2.6%
Other values (11) 72
12.5%
Lowercase Letter
ValueCountFrequency (%)
t 8
22.9%
l 4
11.4%
u 4
11.4%
a 4
11.4%
e 3
 
8.6%
g 3
 
8.6%
i 2
 
5.7%
s 2
 
5.7%
m 2
 
5.7%
b 1
 
2.9%
Other values (2) 2
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 13283
28.7%
2 6152
13.3%
0 4578
 
9.9%
3 3589
 
7.8%
4 3294
 
7.1%
8 3208
 
6.9%
9 3119
 
6.7%
6 3117
 
6.7%
5 2958
 
6.4%
7 2924
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 677
89.0%
/ 36
 
4.7%
. 32
 
4.2%
& 8
 
1.1%
; 6
 
0.8%
？ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
70584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 955
100.0%
Close Punctuation
ValueCountFrequency (%)
) 629
100.0%
Open Punctuation
ValueCountFrequency (%)
( 628
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Letter Number
ValueCountFrequency (%)
ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162186
57.4%
Common 119799
42.4%
Latin 613
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 13279
 
8.2%
파 11020
 
6.8%
송 10716
 
6.6%
동 10343
 
6.4%
시 10179
 
6.3%
서 10032
 
6.2%
울 10015
 
6.2%
구 10011
 
6.2%
번 10002
 
6.2%
별 10001
 
6.2%
Other values (333) 56588
34.9%
Latin
ValueCountFrequency (%)
B 166
27.1%
A 124
20.2%
C 42
 
6.9%
S 36
 
5.9%
T 30
 
4.9%
G 28
 
4.6%
F 23
 
3.8%
L 23
 
3.8%
I 18
 
2.9%
Y 15
 
2.4%
Other values (24) 108
17.6%
Common
ValueCountFrequency (%)
70584
58.9%
1 13283
 
11.1%
2 6152
 
5.1%
0 4578
 
3.8%
3 3589
 
3.0%
4 3294
 
2.7%
8 3208
 
2.7%
9 3119
 
2.6%
6 3117
 
2.6%
5 2958
 
2.5%
Other values (11) 5917
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162186
57.4%
ASCII 120409
42.6%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70584
58.6%
1 13283
 
11.0%
2 6152
 
5.1%
0 4578
 
3.8%
3 3589
 
3.0%
4 3294
 
2.7%
8 3208
 
2.7%
9 3119
 
2.6%
6 3117
 
2.6%
5 2958
 
2.5%
Other values (43) 6527
 
5.4%
Hangul
ValueCountFrequency (%)
지 13279
 
8.2%
파 11020
 
6.8%
송 10716
 
6.6%
동 10343
 
6.4%
시 10179
 
6.3%
서 10032
 
6.2%
울 10015
 
6.2%
구 10011
 
6.2%
번 10002
 
6.2%
별 10001
 
6.2%
Other values (333) 56588
34.9%
None
ValueCountFrequency (%)
？ 2
100.0%
Number Forms
ValueCountFrequency (%)
ⅱ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3048
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136027
Minimum20000524
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:12.000871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000524
5-th percentile20031099
Q120090519
median20150326
Q320180425
95-th percentile20211129
Maximum20240313
Range239789
Interquartile range (IQR)89906

Descriptive statistics

Standard deviation57134.29
Coefficient of variation (CV)0.0028374162
Kurtosis-0.92625795
Mean20136027
Median Absolute Deviation (MAD)40099
Skewness-0.36436482
Sum2.0136027 × 1011
Variance3.2643271 × 109
MonotonicityNot monotonic
2024-05-11T15:05:12.297717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211129 394
 
3.9%
20170410 363
 
3.6%
20161109 341
 
3.4%
20161212 115
 
1.1%
20161213 114
 
1.1%
20140501 111
 
1.1%
20200101 90
 
0.9%
20161214 86
 
0.9%
20140609 50
 
0.5%
20161129 49
 
0.5%
Other values (3038) 8287
82.9%
ValueCountFrequency (%)
20000524 1
 
< 0.1%
20020420 1
 
< 0.1%
20020723 1
 
< 0.1%
20020725 4
< 0.1%
20020726 1
 
< 0.1%
20020731 1
 
< 0.1%
20020801 2
< 0.1%
20020803 1
 
< 0.1%
20020805 1
 
< 0.1%
20020806 1
 
< 0.1%
ValueCountFrequency (%)
20240313 1
 
< 0.1%
20240307 4
< 0.1%
20240223 2
< 0.1%
20240207 2
< 0.1%
20240205 4
< 0.1%
20240131 1
 
< 0.1%
20240130 3
< 0.1%
20240129 1
 
< 0.1%
20240126 1
 
< 0.1%
20240124 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

2024-05-11T15:05:12.548345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:12.746739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1273
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:05:13.174528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length116
Mean length9.4796
Min length2

Characters and Unicode

Total characters94796
Distinct characters266
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique798 ?
Unique (%)8.0%

Sample

1st row품목제조정지15일 및 해당제품폐기
2nd row과태료부과(30만원)
3rd row시정명령
4th row시설개수명령
5th row영업소폐쇄
ValueCountFrequency (%)
영업소폐쇄 1554
 
10.1%
시정명령 1506
 
9.7%
영업정지 1496
 
9.7%
과태료부과 1202
 
7.8%
시설개수명령 802
 
5.2%
직권말소 698
 
4.5%
영업소폐쇄(직권말소 653
 
4.2%
과태료 469
 
3.0%
10만원 399
 
2.6%
자진납부 308
 
2.0%
Other values (1571) 6367
41.2%
2024-05-11T15:05:13.954512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5464
 
5.8%
과 5256
 
5.5%
업 4707
 
5.0%
영 4625
 
4.9%
정 4147
 
4.4%
0 3822
 
4.0%
소 3773
 
4.0%
1 3341
 
3.5%
부 2867
 
3.0%
시 2669
 
2.8%
Other values (256) 54125
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67608
71.3%
Decimal Number 14336
 
15.1%
Space Separator 5464
 
5.8%
Other Punctuation 2861
 
3.0%
Open Punctuation 2100
 
2.2%
Close Punctuation 2085
 
2.2%
Math Symbol 279
 
0.3%
Dash Punctuation 54
 
0.1%
Uppercase Letter 6
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (226) 31975
47.3%
Decimal Number
ValueCountFrequency (%)
0 3822
26.7%
1 3341
23.3%
2 2535
17.7%
5 797
 
5.6%
3 760
 
5.3%
8 725
 
5.1%
6 678
 
4.7%
4 677
 
4.7%
9 547
 
3.8%
7 454
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 2396
83.7%
, 380
 
13.3%
/ 46
 
1.6%
: 21
 
0.7%
% 12
 
0.4%
* 4
 
0.1%
？ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 248
88.9%
+ 25
 
9.0%
→ 4
 
1.4%
= 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
P 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67608
71.3%
Common 27182
28.7%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (226) 31975
47.3%
Common
ValueCountFrequency (%)
5464
20.1%
0 3822
14.1%
1 3341
12.3%
2 2535
9.3%
. 2396
8.8%
( 2100
 
7.7%
) 2085
 
7.7%
5 797
 
2.9%
3 760
 
2.8%
8 725
 
2.7%
Other values (16) 3157
11.6%
Latin
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
P 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67583
71.3%
ASCII 27182
28.7%
Compat Jamo 25
 
< 0.1%
Arrows 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5464
20.1%
0 3822
14.1%
1 3341
12.3%
2 2535
9.3%
. 2396
8.8%
( 2100
 
7.7%
) 2085
 
7.7%
5 797
 
2.9%
3 760
 
2.8%
8 725
 
2.7%
Other values (18) 3157
11.6%
Hangul
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (225) 31950
47.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 25
100.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
None
ValueCountFrequency (%)
？ 2
100.0%

법적근거
Text

Distinct816
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:05:14.480177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length11.7768
Min length1

Characters and Unicode

Total characters117768
Distinct characters165
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

Unique402 ?
Unique (%)4.0%

Sample

1st row식품위생법 제7조
2nd row법 제71조 및 법 제75조
3rd row법 제71조
4th row식품위생법 제21조
5th row식품위생벙 제75조 2항
ValueCountFrequency (%)
법 6348
24.0%
식품위생법 2845
 
10.7%
제75조 2103
 
7.9%
제37조 1522
 
5.7%
및 1449
 
5.5%
제71조 1303
 
4.9%
7항 1204
 
4.5%
제74조 585
 
2.2%
제101조제4항1호 435
 
1.6%
제36조 398
 
1.5%
Other values (606) 8304
31.3%
2024-05-11T15:05:15.282780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16597
14.1%
제 14851
12.6%
조 13188
11.2%
법 11158
 
9.5%
7 8282
 
7.0%
1 7362
 
6.3%
식 4420
 
3.8%
품 4302
 
3.7%
위 4270
 
3.6%
생 4180
 
3.5%
Other values (155) 29158
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66419
56.4%
Decimal Number 32125
27.3%
Space Separator 16597
 
14.1%
Other Punctuation 2047
 
1.7%
Open Punctuation 283
 
0.2%
Close Punctuation 283
 
0.2%
Dash Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 14851
22.4%
조 13188
19.9%
법 11158
16.8%
식 4420
 
6.7%
품 4302
 
6.5%
위 4270
 
6.4%
생 4180
 
6.3%
항 3356
 
5.1%
및 1471
 
2.2%
호 1247
 
1.9%
Other values (136) 3976
 
6.0%
Decimal Number
ValueCountFrequency (%)
7 8282
25.8%
1 7362
22.9%
3 4065
12.7%
5 2959
 
9.2%
2 2734
 
8.5%
4 2448
 
7.6%
6 1780
 
5.5%
0 1629
 
5.1%
8 622
 
1.9%
9 244
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 1994
97.4%
. 38
 
1.9%
: 15
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 280
98.9%
[ 3
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 280
98.9%
] 3
 
1.1%
Space Separator
ValueCountFrequency (%)
16597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66419
56.4%
Common 51349
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 14851
22.4%
조 13188
19.9%
법 11158
16.8%
식 4420
 
6.7%
품 4302
 
6.5%
위 4270
 
6.4%
생 4180
 
6.3%
항 3356
 
5.1%
및 1471
 
2.2%
호 1247
 
1.9%
Other values (136) 3976
 
6.0%
Common
ValueCountFrequency (%)
16597
32.3%
7 8282
16.1%
1 7362
14.3%
3 4065
 
7.9%
5 2959
 
5.8%
2 2734
 
5.3%
4 2448
 
4.8%
, 1994
 
3.9%
6 1780
 
3.5%
0 1629
 
3.2%
Other values (9) 1499
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66372
56.4%
ASCII 51349
43.6%
Compat Jamo 47
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16597
32.3%
7 8282
16.1%
1 7362
14.3%
3 4065
 
7.9%
5 2959
 
5.8%
2 2734
 
5.3%
4 2448
 
4.8%
, 1994
 
3.9%
6 1780
 
3.5%
0 1629
 
3.2%
Other values (9) 1499
 
2.9%
Hangul
ValueCountFrequency (%)
제 14851
22.4%
조 13188
19.9%
법 11158
16.8%
식 4420
 
6.7%
품 4302
 
6.5%
위 4270
 
6.4%
생 4180
 
6.3%
항 3356
 
5.1%
및 1471
 
2.2%
호 1247
 
1.9%
Other values (133) 3929
 
5.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 45
95.7%
ㅗ 1
 
2.1%
ㅈ 1
 
2.1%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3109
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20135907
Minimum20020220
Maximum20240313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:15.498829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020220
5-th percentile20031104
Q120090515
median20150326
Q320180424
95-th percentile20211129
Maximum20240313
Range220093
Interquartile range (IQR)89909

Descriptive statistics

Standard deviation57173.811
Coefficient of variation (CV)0.0028393958
Kurtosis-0.93377214
Mean20135907
Median Absolute Deviation (MAD)40111
Skewness-0.36397641
Sum2.0135907 × 1011
Variance3.2688447 × 109
MonotonicityNot monotonic
2024-05-11T15:05:15.704221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211129 394
 
3.9%
20170410 362
 
3.6%
20161109 340
 
3.4%
20161212 115
 
1.1%
20161213 114
 
1.1%
20200101 87
 
0.9%
20161214 85
 
0.9%
20140515 66
 
0.7%
20131211 56
 
0.6%
20140609 53
 
0.5%
Other values (3099) 8328
83.3%
ValueCountFrequency (%)
20020220 2
< 0.1%
20020420 1
 
< 0.1%
20020723 1
 
< 0.1%
20020725 4
< 0.1%
20020726 1
 
< 0.1%
20020731 2
< 0.1%
20020801 2
< 0.1%
20020803 1
 
< 0.1%
20020805 1
 
< 0.1%
20020806 1
 
< 0.1%
ValueCountFrequency (%)
20240313 1
 
< 0.1%
20240227 4
< 0.1%
20240223 2
 
< 0.1%
20240207 2
 
< 0.1%
20240205 2
 
< 0.1%
20240131 1
 
< 0.1%
20240130 5
0.1%
20240129 1
 
< 0.1%
20240124 4
< 0.1%
20240123 1
 
< 0.1%

위반내용
Text

Distinct4119
Distinct (%)41.2%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:05:16.126841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length309
Median length147
Mean length20.514954
Min length2

Characters and Unicode

Total characters205088
Distinct characters788
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2893 ?
Unique (%)28.9%

Sample

1st row일반세균수 기준초과
2nd row유흥주점 종업원 명부 미비치
3rd row영업장 외 영업(2019.9.26.송파구 적발)
4th row조리장 바닥 파손
5th row영업정지 처분 기간 중에 영업행위
ValueCountFrequency (%)
사업자등록 1388
 
3.6%
1056
 
2.8%
폐업 832
 
2.2%
영업장 698
 
1.8%
적발 633
 
1.7%
미이수 532
 
1.4%
폐업신고없이 510
 
1.3%
식품위생교육 423
 
1.1%
건강진단 416
 
1.1%
및 397
 
1.0%
Other values (6166) 31370
82.0%
2024-05-11T15:05:16.776935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29852
 
14.6%
업 8807
 
4.3%
. 5901
 
2.9%
2 5446
 
2.7%
0 5413
 
2.6%
1 4948
 
2.4%
) 4320
 
2.1%
( 4305
 
2.1%
자 3330
 
1.6%
영 3241
 
1.6%
Other values (778) 129525
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134601
65.6%
Space Separator 29852
 
14.6%
Decimal Number 21822
 
10.6%
Other Punctuation 8275
 
4.0%
Close Punctuation 4354
 
2.1%
Open Punctuation 4340
 
2.1%
Dash Punctuation 699
 
0.3%
Uppercase Letter 445
 
0.2%
Lowercase Letter 278
 
0.1%
Control 210
 
0.1%
Other values (3) 212
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8807
 
6.5%
자 3330
 
2.5%
영 3241
 
2.4%
사 3192
 
2.4%
폐 2995
 
2.2%
시 2993
 
2.2%
미 2744
 
2.0%
설 2623
 
1.9%
이 2495
 
1.9%
위 2461
 
1.8%
Other values (692) 99720
74.1%
Uppercase Letter
ValueCountFrequency (%)
A 55
 
12.4%
S 42
 
9.4%
E 34
 
7.6%
O 32
 
7.2%
I 27
 
6.1%
N 26
 
5.8%
H 25
 
5.6%
U 23
 
5.2%
D 22
 
4.9%
R 21
 
4.7%
Other values (15) 138
31.0%
Lowercase Letter
ValueCountFrequency (%)
g 96
34.5%
m 55
19.8%
k 32
 
11.5%
p 16
 
5.8%
l 15
 
5.4%
o 12
 
4.3%
e 11
 
4.0%
c 9
 
3.2%
i 6
 
2.2%
a 6
 
2.2%
Other values (7) 20
 
7.2%
Other Punctuation
ValueCountFrequency (%)
. 5901
71.3%
: 1127
 
13.6%
, 676
 
8.2%
/ 344
 
4.2%
* 127
 
1.5%
? 48
 
0.6%
% 36
 
0.4%
' 5
 
0.1%
？ 3
 
< 0.1%
; 3
 
< 0.1%
Other values (3) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 5446
25.0%
0 5413
24.8%
1 4948
22.7%
3 1442
 
6.6%
9 945
 
4.3%
6 856
 
3.9%
4 784
 
3.6%
5 728
 
3.3%
8 636
 
2.9%
7 624
 
2.9%
Other Symbol
ValueCountFrequency (%)
㎡ 169
92.9%
○ 7
 
3.8%
㎖ 2
 
1.1%
㎏ 2
 
1.1%
㎎ 2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 4320
99.2%
] 30
 
0.7%
} 3
 
0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4305
99.2%
[ 31
 
0.7%
{ 3
 
0.1%
【 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 20
74.1%
= 4
 
14.8%
+ 2
 
7.4%
⇒ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
29852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 699
100.0%
Control
ValueCountFrequency (%)
210
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134600
65.6%
Common 69761
34.0%
Latin 726
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8807
 
6.5%
자 3330
 
2.5%
영 3241
 
2.4%
사 3192
 
2.4%
폐 2995
 
2.2%
시 2993
 
2.2%
미 2744
 
2.0%
설 2623
 
1.9%
이 2495
 
1.9%
위 2461
 
1.8%
Other values (691) 99719
74.1%
Common
ValueCountFrequency (%)
29852
42.8%
. 5901
 
8.5%
2 5446
 
7.8%
0 5413
 
7.8%
1 4948
 
7.1%
) 4320
 
6.2%
( 4305
 
6.2%
3 1442
 
2.1%
: 1127
 
1.6%
9 945
 
1.4%
Other values (33) 6062
 
8.7%
Latin
ValueCountFrequency (%)
g 96
 
13.2%
A 55
 
7.6%
m 55
 
7.6%
S 42
 
5.8%
E 34
 
4.7%
O 32
 
4.4%
k 32
 
4.4%
I 27
 
3.7%
N 26
 
3.6%
H 25
 
3.4%
Other values (33) 302
41.6%
Han
ValueCountFrequency (%)
生 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134545
65.6%
ASCII 70292
34.3%
CJK Compat 175
 
0.1%
Compat Jamo 55
 
< 0.1%
Geometric Shapes 7
 
< 0.1%
None 7
 
< 0.1%
Number Forms 3
 
< 0.1%
Punctuation 2
 
< 0.1%
Arrows 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29852
42.5%
. 5901
 
8.4%
2 5446
 
7.7%
0 5413
 
7.7%
1 4948
 
7.0%
) 4320
 
6.1%
( 4305
 
6.1%
3 1442
 
2.1%
: 1127
 
1.6%
9 945
 
1.3%
Other values (64) 6593
 
9.4%
Hangul
ValueCountFrequency (%)
업 8807
 
6.5%
자 3330
 
2.5%
영 3241
 
2.4%
사 3192
 
2.4%
폐 2995
 
2.2%
시 2993
 
2.2%
미 2744
 
2.0%
설 2623
 
1.9%
이 2495
 
1.9%
위 2461
 
1.8%
Other values (690) 99664
74.1%
CJK Compat
ValueCountFrequency (%)
㎡ 169
96.6%
㎖ 2
 
1.1%
㎏ 2
 
1.1%
㎎ 2
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 55
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 7
100.0%
None
ValueCountFrequency (%)
？ 3
42.9%
＇ 2
28.6%
】 1
 
14.3%
【 1
 
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%
CJK
ValueCountFrequency (%)
生 1
100.0%

처분내용
Text

Distinct1273
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:05:17.194968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length116
Mean length9.4796
Min length2

Characters and Unicode

Total characters94796
Distinct characters266
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique798 ?
Unique (%)8.0%

Sample

1st row품목제조정지15일 및 해당제품폐기
2nd row과태료부과(30만원)
3rd row시정명령
4th row시설개수명령
5th row영업소폐쇄
ValueCountFrequency (%)
영업소폐쇄 1554
 
10.1%
시정명령 1506
 
9.7%
영업정지 1496
 
9.7%
과태료부과 1202
 
7.8%
시설개수명령 802
 
5.2%
직권말소 698
 
4.5%
영업소폐쇄(직권말소 653
 
4.2%
과태료 469
 
3.0%
10만원 399
 
2.6%
자진납부 308
 
2.0%
Other values (1571) 6367
41.2%
2024-05-11T15:05:17.811323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5464
 
5.8%
과 5256
 
5.5%
업 4707
 
5.0%
영 4625
 
4.9%
정 4147
 
4.4%
0 3822
 
4.0%
소 3773
 
4.0%
1 3341
 
3.5%
부 2867
 
3.0%
시 2669
 
2.8%
Other values (256) 54125
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67608
71.3%
Decimal Number 14336
 
15.1%
Space Separator 5464
 
5.8%
Other Punctuation 2861
 
3.0%
Open Punctuation 2100
 
2.2%
Close Punctuation 2085
 
2.2%
Math Symbol 279
 
0.3%
Dash Punctuation 54
 
0.1%
Uppercase Letter 6
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (226) 31975
47.3%
Decimal Number
ValueCountFrequency (%)
0 3822
26.7%
1 3341
23.3%
2 2535
17.7%
5 797
 
5.6%
3 760
 
5.3%
8 725
 
5.1%
6 678
 
4.7%
4 677
 
4.7%
9 547
 
3.8%
7 454
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 2396
83.7%
, 380
 
13.3%
/ 46
 
1.6%
: 21
 
0.7%
% 12
 
0.4%
* 4
 
0.1%
？ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 248
88.9%
+ 25
 
9.0%
→ 4
 
1.4%
= 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
P 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67608
71.3%
Common 27182
28.7%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (226) 31975
47.3%
Common
ValueCountFrequency (%)
5464
20.1%
0 3822
14.1%
1 3341
12.3%
2 2535
9.3%
. 2396
8.8%
( 2100
 
7.7%
) 2085
 
7.7%
5 797
 
2.9%
3 760
 
2.8%
8 725
 
2.7%
Other values (16) 3157
11.6%
Latin
ValueCountFrequency (%)
C 3
50.0%
H 1
 
16.7%
A 1
 
16.7%
P 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67583
71.3%
ASCII 27182
28.7%
Compat Jamo 25
 
< 0.1%
Arrows 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5464
20.1%
0 3822
14.1%
1 3341
12.3%
2 2535
9.3%
. 2396
8.8%
( 2100
 
7.7%
) 2085
 
7.7%
5 797
 
2.9%
3 760
 
2.8%
8 725
 
2.7%
Other values (18) 3157
11.6%
Hangul
ValueCountFrequency (%)
과 5256
 
7.8%
업 4707
 
7.0%
영 4625
 
6.8%
정 4147
 
6.1%
소 3773
 
5.6%
부 2867
 
4.2%
시 2669
 
3.9%
명 2549
 
3.8%
령 2543
 
3.8%
지 2497
 
3.7%
Other values (225) 31950
47.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 25
100.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
None
ValueCountFrequency (%)
？ 2
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)2.5%
Missing8930
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean12.419626
Minimum0
Maximum30
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:17.973025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median15
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2167776
Coefficient of variation (CV)0.42004305
Kurtosis0.60470517
Mean12.419626
Median Absolute Deviation (MAD)0
Skewness-0.0071432147
Sum13289
Variance27.214769
MonotonicityNot monotonic
2024-05-11T15:05:18.149745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
15 578
 
5.8%
7 199
 
2.0%
10 59
 
0.6%
5 45
 
0.4%
22 24
 
0.2%
17 22
 
0.2%
3 21
 
0.2%
2 17
 
0.2%
0 16
 
0.2%
6 13
 
0.1%
Other values (17) 76
 
0.8%
(Missing) 8930
89.3%
ValueCountFrequency (%)
0 16
 
0.2%
1 3
 
< 0.1%
2 17
 
0.2%
3 21
 
0.2%
4 2
 
< 0.1%
5 45
 
0.4%
6 13
 
0.1%
7 199
2.0%
8 9
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
30 8
 
0.1%
29 6
 
0.1%
25 2
 
< 0.1%
24 7
 
0.1%
23 2
 
< 0.1%
22 24
0.2%
21 1
 
< 0.1%
20 11
0.1%
18 3
 
< 0.1%
17 22
0.2%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2227
Distinct (%)44.3%
Missing4970
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean114.10236
Minimum0
Maximum2305.36
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:05:18.333652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q136.5
median82
Q3130
95-th percentile305.3665
Maximum2305.36
Range2305.36
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation160.47464
Coefficient of variation (CV)1.4064095
Kurtosis64.185627
Mean114.10236
Median Absolute Deviation (MAD)46
Skewness6.6565527
Sum573934.89
Variance25752.111
MonotonicityNot monotonic
2024-05-11T15:05:18.537907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 83
 
0.8%
26.4 52
 
0.5%
30.0 39
 
0.4%
23.1 36
 
0.4%
66.0 35
 
0.4%
82.5 34
 
0.3%
60.0 32
 
0.3%
29.7 32
 
0.3%
49.5 30
 
0.3%
99.0 30
 
0.3%
Other values (2217) 4627
46.3%
(Missing) 4970
49.7%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
1.33 1
 
< 0.1%
2.5 1
 
< 0.1%
3.0 4
 
< 0.1%
3.3 19
0.2%
3.35 1
 
< 0.1%
3.42 3
 
< 0.1%
4.0 3
 
< 0.1%
4.5 1
 
< 0.1%
5.0 3
 
< 0.1%
ValueCountFrequency (%)
2305.36 2
 
< 0.1%
2062.0 2
 
< 0.1%
2001.23 6
0.1%
1891.92 1
 
< 0.1%
1822.07 1
 
< 0.1%
1763.33 2
 
< 0.1%
1701.24 1
 
< 0.1%
1396.96 1
 
< 0.1%
1362.0 1
 
< 0.1%
1335.24 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9969 
직영
 
22
(조합)위탁
 
9

Length

Max length6
Median length4
Mean length3.9974
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> 9969
99.7%
직영 22
 
0.2%
(조합)위탁 9
 
0.1%

Length

2024-05-11T15:05:18.752203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:18.946409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9969
99.7%
직영 22
 
0.2%
조합)위탁 9
 
0.1%

Interactions

2024-05-11T15:05:02.113138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:56.422594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:57.792156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.023387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:00.145383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.185158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:02.288228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:56.573527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:58.012426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.208714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:00.329647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.349146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:02.449813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:57.005620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:58.290922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.411638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:00.527926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.516942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:02.631080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:57.204402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:58.475990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.592845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:00.700923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.649036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:02.810705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:57.388825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:58.671722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.770846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:00.879026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.805176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:02.955158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:57.577763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:58.853609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:59.975260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.046226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:01.968751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:05:19.064826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.3090.2280.3071.0000.9990.0610.0000.000
교부번호0.3091.0000.3970.6250.4700.4670.1890.0940.148
업종명0.2280.3971.0001.0000.5090.4960.4590.351NaN
업태명0.3070.6251.0001.0000.5910.5850.6080.7470.624
지도점검일자1.0000.4700.5090.5911.0000.9870.3370.1000.000
위반일자0.9990.4670.4960.5850.9871.0000.3690.1250.000
처분기간0.0610.1890.4590.6080.3370.3691.0000.000NaN
영업장면적(㎡)0.0000.0940.3510.7470.1000.1250.0001.0001.000
운영형태0.0000.148NaN0.6240.0000.000NaN1.0001.000
2024-05-11T15:05:19.354445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-11T15:05:19.488933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.4940.9990.999-0.102-0.1290.1230.000
교부번호0.4941.0000.4950.494-0.160-0.1590.1910.235
지도점검일자0.9990.4951.0000.999-0.104-0.1290.2150.000
위반일자0.9990.4940.9991.000-0.104-0.1310.2070.000
처분기간-0.102-0.160-0.104-0.1041.0000.1410.2040.000
영업장면적(㎡)-0.129-0.159-0.129-0.1310.1411.0000.1440.791
업종명0.1230.1910.2150.2070.2040.1441.0001.000
운영형태0.0000.2350.0000.0000.0000.7911.0001.000

Missing values

2024-05-11T15:05:03.227240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:05:03.673387image/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.
2024-05-11T15:05:03.999499image/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
751732300002014080620050115157식품제조가공업식품제조가공업청담원서울특별시 송파구 오금로34길 8-23, 지하1층 (가락동)서울특별시 송파구 가락동 5번지 9호 지하1층20140715처분확정품목제조정지15일 및 해당제품폐기식품위생법 제7조20140715일반세균수 기준초과품목제조정지15일 및 해당제품폐기15111.0<NA>
437532300002017072420120115721유흥주점영업룸살롱거북이 유흥주점서울특별시 송파구 송파대로28길 13, (가락동,(지하1층))서울특별시 송파구 가락동 98번지 7호 (지하1층)20170724처분확정과태료부과(30만원)법 제71조 및 법 제75조20170626유흥주점 종업원 명부 미비치과태료부과(30만원)<NA><NA><NA>
234332300002019111520160115957일반음식점호프/통닭K.PUB (케이펍)스테이크& 치킨서울특별시 송파구 법원로 114, C동 225호 (문정동, 일원엠스테이트)서울특별시 송파구 문정동 643번지 1호20190926처분확정시정명령법 제71조20190926영업장 외 영업(2019.9.26.송파구 적발)시정명령<NA>116.0<NA>
1161832300002007082019930115382일반음식점한식중국퓨전요리취룡서울특별시 송파구 송파대로28길 12, (가락동)서울특별시 송파구 가락동 99번지 1호20061213처분확정시설개수명령식품위생법 제21조20031213조리장 바닥 파손시설개수명령<NA>326.18<NA>
832332300002013081219910114302일반음식점분식탁꼬치킨서울특별시 송파구 가락로 138, (송파동)서울특별시 송파구 송파동 98번지 6호20111006처분확정영업소폐쇄식품위생벙 제75조 2항20111006영업정지 처분 기간 중에 영업행위영업소폐쇄<NA><NA><NA>
484732300002017062720140114375건강기능식품일반판매업다단계판매4Life(4라이프)서울특별시 송파구 위례성대로6길 30-3, 2동 지하1층 102호 (방이동)서울특별시 송파구 방이동 152번지 18호 2 지하1층-10220170410처분확정영업소폐쇄(직권말소)법 제6조 4항20170410폐업신고없이 사업자등록 폐업 (사업자등록 폐업일자:2015.01.23)영업소폐쇄(직권말소)<NA><NA><NA>
102432300002021122419990114039일반음식점분식몽니서울특별시 송파구 중대로 304, (오금동,(지하1층))서울특별시 송파구 오금동 89번지 0호 (지하1층)20211129처분확정과태료부과 10만원법 제101조제4항1호202111292020년 식품위생교육 미이수과태료부과 10만원<NA>54.19<NA>
906432300002012050120000114898유흥주점영업룸살롱샤방샤방서울특별시 송파구 송파대로30길 8, (가락동,지하2층)서울특별시 송파구 가락동 98번지 2호 지하2층20120405처분확정영업정지15일 갈음 과징금1,020만원 부과,시설개수명령(12.5.31까지)식품위생법 제36조 및 제37조20120405영업허가증 상 면적을 변경하고 변경신고 미이행(영업장 무단확장, 2차위반)영업정지15일 갈음 과징금1,020만원 부과,시설개수명령(12.5.31까지)15270.66<NA>
454032300002017062720060114600건강기능식품일반판매업<NA>(주)리치월드홈쇼핑서울특별시 송파구 위례성대로 18, (방이동,, 1107호)서울특별시 송파구 방이동 45번지 2호 , 1107호20170410처분확정영업소폐쇄(직권말소)법 제6조 4항20170410폐업신고없이 사업자등록 폐업 (사업자등록폐업일자 : 2010.08.31)영업소폐쇄(직권말소)<NA><NA><NA>
208132300002020022420050115818일반음식점한식주막례 김치찌개서울특별시 송파구 백제고분로7길 39, (잠실동,1층)서울특별시 송파구 잠실동 183번지 1호 1층20191222처분확정영업정지법 제75조20191222청소년 주류제공(2019.12.22. 02:30경 송파서적발)영업정지<NA><NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
162032300002020110920160115101휴게음식점기타 휴게음식점커피볶는집서울특별시 송파구 백제고분로39길 8, 1층 (석촌동)서울특별시 송파구 석촌동 175번지 3호20200101처분확정과태료 16만원 부과(10.30 자진납부)법 제101조제2항제1호202010132019년 위생교육 미이수과태료 16만원 부과(10.30 자진납부)<NA>30.0<NA>
239032300002019102920080115275일반음식점한식족발속으로서울특별시 송파구 올림픽로51길 28, 102호 (풍납동)서울특별시 송파구 풍납동 162번지 41호 -10220190822처분확정시정명령법 제71조20190822영업장 무단확장(신고면적 외 약26.4㎡ 가설물 설치)-2019.8.22.송파구 적발시정명령<NA>33.78<NA>
1118732300002008042220010114695일반음식점호프/통닭잠수함서울특별시 송파구 백제고분로7길 24-17, (잠실동)서울특별시 송파구 잠실동 190번지 4호20080206처분확정영업정지제31조20080206청소년 주류제공영업정지<NA><NA><NA>
990732300002010062320060114983일반음식점호프/통닭돈또아게서울특별시 송파구 백제고분로45길 17, (송파동,101호)서울특별시 송파구 송파동 42번지 1호 101호20100603처분확정시정명령식품위생법 제36조20100603영업장외 영업행위시정명령<NA><NA><NA>
619332300002016122320050114292유통전문판매업유통전문판매업(주)밸리유통서울특별시 송파구 중대로25길 16, (오금동,지하1층)서울특별시 송파구 오금동 48번지 15호 지하1층20161109처분확정영업소폐쇄법 제37조 7항201611092009.12.31. 사업자 폐지등록(말소)영업소폐쇄<NA><NA><NA>
1326032300002004021120010115521일반음식점분식아로마서울특별시 송파구 위례성대로16길 5, (방이동,(지층))서울특별시 송파구 방이동 190번지 8호 (지층)20040109처분확정영업정지및과태료(200만원)식품위생법제21조20040109객실내음향반주기설치영업정지및과태료(200만원)<NA><NA><NA>
583332300002016122320010114282유통전문판매업유통전문판매업다미식품서울특별시 송파구 송파대로28길 24, (가락동,밀리아나 2차 1110호)서울특별시 송파구 가락동 79번지 5호 밀리아나 2차 1110호20161109처분확정영업소폐쇄법 제37조 7항201611092001.3.16. 사업자 폐지등록(말소)영업소폐쇄<NA><NA><NA>
829632300002013090420130114120식품등 수입판매업식품등 수입판매업선일수산(주)서울특별시 송파구 양재대로 932, 지상1층 119-2호 (가락동, 수산물시장동)서울특별시 송파구 가락동 600번지 수산물시장동 지상1층 119-2호20130620처분확정시정명령식품위생법 제19조1항20130620식품등 중량이나 가격변조를 위하여 이물을 혼입시켜 수입신고 함 제품명 : 냉동새우(홍다리얼룩새우) 부적합 2회 1.2013.06.17(2013-351) 2.2013.06.17(2013-352)시정명령<NA><NA><NA>
406432300002017120620040115554유흥주점영업룸살롱샴푸서울특별시 송파구 송파대로28길 24, 2층 (가락동)서울특별시 송파구 가락동 79번지 5호 2층20171213처분확정과태료 24만원 부과법 제101조제3항제2호20171011유흥주점 종사자 명부 미비치(2017.10.11. 송파서 적발)과태료 24만원 부과<NA>91.4<NA>
963132300002011030720000115271일반음식점호프/통닭세이서울특별시 송파구 백제고분로7길 28-8, (잠실동)서울특별시 송파구 잠실동 190번지 12호20101117처분확정과태료부과식품위생법 제40조제1항및제3항.식품위생법 제101조제2항제1호20101117종사자 2명중 2명 건강진단 미실시과태료부과<NA>132.0<NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
10532300002011011320000115620일반음식점한식장터식당서울특별시 송파구 백제고분로48길 14, (방이동)서울특별시 송파구 방이동 113번지 0호20101216처분확정영업소폐쇄식품위생법 제36조 및 제37조20101216영업시설의 전부철거영업소폐쇄<NA>24.84<NA>7
4032300002005092119940114246일반음식점한식우리한식서울특별시 송파구 올림픽로35길 94, (신천동,장미씨상가 210호)서울특별시 송파구 신천동 11번지 0호 장미씨상가 210호20050907처분확정시설개수명령(10.4한)법제57조20050907주방바닥시설 및 후드청소 불량시설개수명령(10.4한)<NA><NA><NA>4
15432300002013092519930115775일반음식점한식유천냉면 풍납점서울특별시 송파구 풍성로25나길 11, 2층 (풍납동)서울특별시 송파구 풍납동 160번지 1호 2층20130826처분확정과태료32만원 부과(사전납부함)식품위생법 제101조20130826종업원 건강진단 미실시(5명 중 1명)과태료32만원 부과(사전납부함)<NA><NA><NA>4
24432300002017062720040114808건강기능식품일반판매업영업장판매이든네이처 강동총국서울특별시 송파구 풍성로25길 13, 2층 (풍납동)서울특별시 송파구 풍납동 155번지 23호 2층20170410처분확정영업소폐쇄(직권말소)법 제6조 4항20170410폐업신고없이 사업자등록 폐업 (사업자등록 폐업일자 : 2014.04.30)영업소폐쇄(직권말소)<NA><NA><NA>4
25332300002017071120000114798일반음식점일식영산포서울특별시 송파구 양재대로 932, 1층 가락몰5관 편의시설003-1호 (가락동, 농수산물도매시장내)서울특별시 송파구 가락동 600번지20170424처분확정시설개수명령법 제71조, 법 제74조 및 법 제75조20170424영업장 내 조리시설 없음시설개수명령<NA>6.5<NA>4
3332300002005062119920114137일반음식점일식일식 갈릴리서울특별시 송파구 위례성대로18길 32, (방이동)서울특별시 송파구 방이동 208번지 6호20050314처분확정과태료부과 20만원식품위생법시행령제54조[별표2]20050314식품의 위생적 취급기준 위반과태료부과 20만원<NA><NA><NA>3
3532300002005082219950114708일반음식점한식수협바다마트잠실점서울특별시 송파구 오금로 62, (신천동)서울특별시 송파구 신천동 11번지 6호20050718처분확정영업정지1월갈음 과징금33,600천원부과,과태료110만원,시설개수명령(9.2한)법제7조20050718-식중독균검출기준위반 -종업원건강검진 미필(4/7) -식품의위생적취급위반 -주방바닥 시설불량영업정지1월갈음 과징금33,600천원부과,과태료110만원,시설개수명령(9.2한)<NA><NA><NA>3
4632300002006040520000114569식품소분업식품소분업다농산업(주)서울특별시 송파구 동남로28길 12, (오금동,지하1층)서울특별시 송파구 오금동 140번지 7호 지하1층20060208처분확정과징금 260만원식품위생법 7조20060208수거검사결과 대장균 양성 표시기준위반 (제조원의 품목제조보고 명칭과 상이표시)과징금 260만원5<NA><NA>3
6432300002007073120020115104식품제조가공업식품제조가공업국제해양수산(주)서울특별시 송파구 새말로 125, (문정동,&lt;2층&gt;)서울특별시 송파구 문정동 85번지 &lt;2층&gt;20070704처분확정과태료 20만원부과식품위생법제3조20070704식품등의 위생적 취급기준 위반(식품제조에 사용되는 칼을 비위생적으로 보관)과태료 20만원부과<NA><NA><NA>3
6732300002007091819930115967일반음식점한식유스앤프라자<NA>서울특별시 송파구 방이동 88번지 8호20070928처분확정시정명령식법제10조20070719식육원산지미표시시정명령<NA><NA><NA>3