Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells18372
Missing cells (%)10.8%
Duplicate rows239
Duplicate rows (%)2.4%
Total size in memory1.4 MiB
Average record size in memory150.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-11072/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 239 (2.4%) duplicate rowsDuplicates
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
업종명 is highly imbalanced (50.9%)Imbalance
소재지도로명 has 5776 (57.8%) missing valuesMissing
처분기간 has 9034 (90.3%) missing valuesMissing
영업장면적(㎡) has 3452 (34.5%) missing valuesMissing
영업장면적(㎡) is highly skewed (γ1 = 56.70057212)Skewed

Reproduction

Analysis started2024-05-18 04:06:41.303906
Analysis finished2024-05-18 04:06:57.609470
Duration16.31 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
3210000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 10000
100.0%

Length

2024-05-18T13:06:57.822427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:06:58.167334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3375
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112853
Minimum19890617
Maximum20240322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:06:58.507818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890617
5-th percentile20010608
Q120051222
median20110614
Q320171222
95-th percentile20220103
Maximum20240322
Range349705
Interquartile range (IQR)120000.25

Descriptive statistics

Standard deviation69275.526
Coefficient of variation (CV)0.0034443411
Kurtosis-0.96512872
Mean20112853
Median Absolute Deviation (MAD)60296.5
Skewness-0.089024007
Sum2.0112853 × 1011
Variance4.7990986 × 109
MonotonicityNot monotonic
2024-05-18T13:06:59.014779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041220 160
 
1.6%
20030228 113
 
1.1%
20040303 85
 
0.9%
20180608 74
 
0.7%
20180503 74
 
0.7%
20180620 61
 
0.6%
20140918 52
 
0.5%
20181112 50
 
0.5%
20181217 49
 
0.5%
20020323 41
 
0.4%
Other values (3365) 9241
92.4%
ValueCountFrequency (%)
19890617 1
 
< 0.1%
19890707 1
 
< 0.1%
19891124 5
0.1%
19910302 1
 
< 0.1%
19910611 1
 
< 0.1%
19910820 1
 
< 0.1%
19911210 1
 
< 0.1%
19921222 1
 
< 0.1%
19930327 1
 
< 0.1%
19930920 1
 
< 0.1%
ValueCountFrequency (%)
20240322 1
< 0.1%
20240312 1
< 0.1%
20240306 1
< 0.1%
20240305 1
< 0.1%
20240223 2
< 0.1%
20240219 2
< 0.1%
20240205 1
< 0.1%
20240130 1
< 0.1%
20240119 2
< 0.1%
20240118 1
< 0.1%

교부번호
Text

Distinct5930
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:06:59.653617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.5393
Min length2

Characters and Unicode

Total characters105393
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4212 ?
Unique (%)42.1%

Sample

1st row19980099240
2nd row20040100043
3rd row20210099968
4th row20110098558
5th row19910098374
ValueCountFrequency (%)
19940098759 51
 
0.5%
20130099317 31
 
0.3%
19880098363 26
 
0.3%
19820098004 25
 
0.2%
19940098768 23
 
0.2%
19990099671 19
 
0.2%
20030098145 19
 
0.2%
20120099269 18
 
0.2%
20000098121 18
 
0.2%
20070098559 15
 
0.1%
Other values (5920) 9756
97.6%
2024-05-18T13:07:00.840015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33055
31.4%
9 21904
20.8%
1 10874
 
10.3%
2 9881
 
9.4%
8 9695
 
9.2%
3 4288
 
4.1%
4 4230
 
4.0%
5 3898
 
3.7%
7 3639
 
3.5%
6 3549
 
3.4%
Other values (9) 380
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 105013
99.6%
Dash Punctuation 354
 
0.3%
Other Letter 25
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33055
31.5%
9 21904
20.9%
1 10874
 
10.4%
2 9881
 
9.4%
8 9695
 
9.2%
3 4288
 
4.1%
4 4230
 
4.0%
5 3898
 
3.7%
7 3639
 
3.5%
6 3549
 
3.4%
Other Letter
ValueCountFrequency (%)
서 7
28.0%
초 7
28.0%
구 7
28.0%
위 1
 
4.0%
생 1
 
4.0%
관 1
 
4.0%
리 1
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105368
> 99.9%
Hangul 25
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33055
31.4%
9 21904
20.8%
1 10874
 
10.3%
2 9881
 
9.4%
8 9695
 
9.2%
3 4288
 
4.1%
4 4230
 
4.0%
5 3898
 
3.7%
7 3639
 
3.5%
6 3549
 
3.4%
Other values (2) 355
 
0.3%
Hangul
ValueCountFrequency (%)
서 7
28.0%
초 7
28.0%
구 7
28.0%
위 1
 
4.0%
생 1
 
4.0%
관 1
 
4.0%
리 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105368
> 99.9%
Hangul 25
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33055
31.4%
9 21904
20.8%
1 10874
 
10.3%
2 9881
 
9.4%
8 9695
 
9.2%
3 4288
 
4.1%
4 4230
 
4.0%
5 3898
 
3.7%
7 3639
 
3.5%
6 3549
 
3.4%
Other values (2) 355
 
0.3%
Hangul
ValueCountFrequency (%)
서 7
28.0%
초 7
28.0%
구 7
28.0%
위 1
 
4.0%
생 1
 
4.0%
관 1
 
4.0%
리 1
 
4.0%

업종명
Categorical

IMBALANCE 

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5948 
단란주점
686 
유흥주점영업
658 
휴게음식점
 
448
건강기능식품일반판매업
 
380
Other values (33)
1880 

Length

Max length23
Median length5
Mean length5.5473
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5948
59.5%
단란주점 686
 
6.9%
유흥주점영업 658
 
6.6%
휴게음식점 448
 
4.5%
건강기능식품일반판매업 380
 
3.8%
즉석판매제조가공업 259
 
2.6%
유통전문판매업 234
 
2.3%
위생관리용역업 203
 
2.0%
목욕장업 173
 
1.7%
식품제조가공업 134
 
1.3%
Other values (28) 877
 
8.8%

Length

2024-05-18T13:07:01.437450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5948
58.5%
단란주점 686
 
6.7%
유흥주점영업 658
 
6.5%
휴게음식점 448
 
4.4%
건강기능식품일반판매업 380
 
3.7%
즉석판매제조가공업 259
 
2.5%
유통전문판매업 234
 
2.3%
위생관리용역업 203
 
2.0%
목욕장업 173
 
1.7%
식품제조가공업 134
 
1.3%
Other values (22) 1041
 
10.2%

업태명
Text

Distinct85
Distinct (%)0.9%
Missing82
Missing (%)0.8%
Memory size156.2 KiB
2024-05-18T13:07:02.150251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.8915104
Min length2

Characters and Unicode

Total characters38596
Distinct characters166
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row한식
2nd row한식
3rd row한식
4th row정종/대포집/소주방
5th row룸살롱
ValueCountFrequency (%)
한식 2630
26.0%
경양식 1091
 
10.8%
단란주점 686
 
6.8%
호프/통닭 628
 
6.2%
룸살롱 516
 
5.1%
분식 488
 
4.8%
중국식 304
 
3.0%
즉석판매제조가공업 259
 
2.6%
기타 237
 
2.3%
유통전문판매업 234
 
2.3%
Other values (74) 3040
30.1%
2024-05-18T13:07:03.477486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5307
 
13.8%
한 2647
 
6.9%
업 2115
 
5.5%
매 1145
 
3.0%
판 1136
 
2.9%
통 1097
 
2.8%
경 1091
 
2.8%
양 1091
 
2.8%
점 910
 
2.4%
닭 728
 
1.9%
Other values (156) 21329
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37015
95.9%
Other Punctuation 731
 
1.9%
Open Punctuation 300
 
0.8%
Close Punctuation 300
 
0.8%
Space Separator 195
 
0.5%
Math Symbol 55
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5307
 
14.3%
한 2647
 
7.2%
업 2115
 
5.7%
매 1145
 
3.1%
판 1136
 
3.1%
통 1097
 
3.0%
경 1091
 
2.9%
양 1091
 
2.9%
점 910
 
2.5%
닭 728
 
2.0%
Other values (150) 19748
53.4%
Other Punctuation
ValueCountFrequency (%)
/ 702
96.0%
, 29
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Math Symbol
ValueCountFrequency (%)
+ 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37015
95.9%
Common 1581
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5307
 
14.3%
한 2647
 
7.2%
업 2115
 
5.7%
매 1145
 
3.1%
판 1136
 
3.1%
통 1097
 
3.0%
경 1091
 
2.9%
양 1091
 
2.9%
점 910
 
2.5%
닭 728
 
2.0%
Other values (150) 19748
53.4%
Common
ValueCountFrequency (%)
/ 702
44.4%
( 300
19.0%
) 300
19.0%
195
 
12.3%
+ 55
 
3.5%
, 29
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37015
95.9%
ASCII 1581
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5307
 
14.3%
한 2647
 
7.2%
업 2115
 
5.7%
매 1145
 
3.1%
판 1136
 
3.1%
통 1097
 
3.0%
경 1091
 
2.9%
양 1091
 
2.9%
점 910
 
2.5%
닭 728
 
2.0%
Other values (150) 19748
53.4%
ASCII
ValueCountFrequency (%)
/ 702
44.4%
( 300
19.0%
) 300
19.0%
195
 
12.3%
+ 55
 
3.5%
, 29
 
1.8%

업소명
Text

Distinct5870
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:07:04.238424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length5.5285
Min length1

Characters and Unicode

Total characters55285
Distinct characters1012
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4077 ?
Unique (%)40.8%

Sample

1st row초원마산
2nd row현지식당
3rd row팔당냉면
4th row셔플
5th row메이(May)
ValueCountFrequency (%)
주식회사 112
 
0.9%
방배족발 50
 
0.4%
서초점 43
 
0.4%
솔 31
 
0.3%
강남역점 31
 
0.3%
강남점 28
 
0.2%
교대점 28
 
0.2%
더 26
 
0.2%
양재점 26
 
0.2%
주)거북곱창 24
 
0.2%
Other values (6490) 11685
96.7%
2024-05-18T13:07:05.588219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2087
 
3.8%
) 1488
 
2.7%
( 1487
 
2.7%
이 1400
 
2.5%
스 1363
 
2.5%
주 1267
 
2.3%
리 932
 
1.7%
점 768
 
1.4%
아 598
 
1.1%
식 591
 
1.1%
Other values (1002) 43304
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46189
83.5%
Space Separator 2087
 
3.8%
Uppercase Letter 1789
 
3.2%
Close Punctuation 1488
 
2.7%
Open Punctuation 1487
 
2.7%
Lowercase Letter 1429
 
2.6%
Decimal Number 579
 
1.0%
Other Punctuation 199
 
0.4%
Dash Punctuation 22
 
< 0.1%
Letter Number 11
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1400
 
3.0%
스 1363
 
3.0%
주 1267
 
2.7%
리 932
 
2.0%
점 768
 
1.7%
아 598
 
1.3%
식 591
 
1.3%
가 475
 
1.0%
사 471
 
1.0%
라 442
 
1.0%
Other values (920) 37882
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 203
14.2%
a 183
12.8%
o 119
 
8.3%
n 108
 
7.6%
i 89
 
6.2%
r 84
 
5.9%
l 70
 
4.9%
s 68
 
4.8%
t 60
 
4.2%
h 56
 
3.9%
Other values (16) 389
27.2%
Uppercase Letter
ValueCountFrequency (%)
A 160
 
8.9%
O 133
 
7.4%
C 132
 
7.4%
E 129
 
7.2%
M 101
 
5.6%
S 100
 
5.6%
N 99
 
5.5%
B 92
 
5.1%
T 89
 
5.0%
I 88
 
4.9%
Other values (16) 666
37.2%
Other Punctuation
ValueCountFrequency (%)
. 89
44.7%
& 43
21.6%
, 18
 
9.0%
? 14
 
7.0%
; 10
 
5.0%
？ 8
 
4.0%
' 5
 
2.5%
! 4
 
2.0%
: 3
 
1.5%
% 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 118
20.4%
0 102
17.6%
1 88
15.2%
3 59
10.2%
8 53
9.2%
9 50
8.6%
4 37
 
6.4%
7 30
 
5.2%
5 30
 
5.2%
6 12
 
2.1%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
2087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1488
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1487
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46122
83.4%
Common 5867
 
10.6%
Latin 3229
 
5.8%
Han 67
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1400
 
3.0%
스 1363
 
3.0%
주 1267
 
2.7%
리 932
 
2.0%
점 768
 
1.7%
아 598
 
1.3%
식 591
 
1.3%
가 475
 
1.0%
사 471
 
1.0%
라 442
 
1.0%
Other values (884) 37815
82.0%
Latin
ValueCountFrequency (%)
e 203
 
6.3%
a 183
 
5.7%
A 160
 
5.0%
O 133
 
4.1%
C 132
 
4.1%
E 129
 
4.0%
o 119
 
3.7%
n 108
 
3.3%
M 101
 
3.1%
S 100
 
3.1%
Other values (43) 1861
57.6%
Han
ValueCountFrequency (%)
天 6
 
9.0%
膳 5
 
7.5%
水 5
 
7.5%
生 4
 
6.0%
金 4
 
6.0%
井 3
 
4.5%
有 3
 
4.5%
新 3
 
4.5%
伊 2
 
3.0%
作 2
 
3.0%
Other values (26) 30
44.8%
Common
ValueCountFrequency (%)
2087
35.6%
) 1488
25.4%
( 1487
25.3%
2 118
 
2.0%
0 102
 
1.7%
. 89
 
1.5%
1 88
 
1.5%
3 59
 
1.0%
8 53
 
0.9%
9 50
 
0.9%
Other values (19) 246
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46122
83.4%
ASCII 9077
 
16.4%
CJK 62
 
0.1%
Number Forms 11
 
< 0.1%
None 8
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2087
23.0%
) 1488
16.4%
( 1487
16.4%
e 203
 
2.2%
a 183
 
2.0%
A 160
 
1.8%
O 133
 
1.5%
C 132
 
1.5%
E 129
 
1.4%
o 119
 
1.3%
Other values (70) 2956
32.6%
Hangul
ValueCountFrequency (%)
이 1400
 
3.0%
스 1363
 
3.0%
주 1267
 
2.7%
리 932
 
2.0%
점 768
 
1.7%
아 598
 
1.3%
식 591
 
1.3%
가 475
 
1.0%
사 471
 
1.0%
라 442
 
1.0%
Other values (884) 37815
82.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
100.0%
None
ValueCountFrequency (%)
？ 8
100.0%
CJK
ValueCountFrequency (%)
天 6
 
9.7%
膳 5
 
8.1%
水 5
 
8.1%
生 4
 
6.5%
井 3
 
4.8%
有 3
 
4.8%
新 3
 
4.8%
伊 2
 
3.2%
作 2
 
3.2%
海 2
 
3.2%
Other values (24) 27
43.5%
CJK Compat Ideographs
ValueCountFrequency (%)
金 4
80.0%
羅 1
 
20.0%

소재지도로명
Text

MISSING 

Distinct2635
Distinct (%)62.4%
Missing5776
Missing (%)57.8%
Memory size156.2 KiB
2024-05-18T13:07:06.391919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length54
Mean length33.727983
Min length22

Characters and Unicode

Total characters142467
Distinct characters430
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1899 ?
Unique (%)45.0%

Sample

1st row서울특별시 서초구 강남대로 545-15, 지하1층 (반포동)
2nd row서울특별시 서초구 도구로 93, 1층 (방배동)
3rd row서울특별시 서초구 서초대로77길 58, 8층 (서초동, 트라이랜드빌딩 )
4th row서울특별시 서초구 반포대로26길 75, 1층 (서초동)
5th row서울특별시 서초구 서초대로46길 106, 지하1층 (서초동)
ValueCountFrequency (%)
서울특별시 4224
 
15.7%
서초구 4224
 
15.7%
서초동 1484
 
5.5%
1층 1222
 
4.5%
방배동 590
 
2.2%
양재동 554
 
2.1%
지하1층 457
 
1.7%
반포동 393
 
1.5%
잠원동 300
 
1.1%
2층 295
 
1.1%
Other values (2439) 13204
49.0%
2024-05-18T13:07:07.896016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22747
 
16.0%
서 11288
 
7.9%
초 6936
 
4.9%
1 6692
 
4.7%
, 6388
 
4.5%
동 4616
 
3.2%
( 4370
 
3.1%
) 4370
 
3.1%
시 4280
 
3.0%
울 4250
 
3.0%
Other values (420) 66530
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80726
56.7%
Decimal Number 22803
 
16.0%
Space Separator 22747
 
16.0%
Other Punctuation 6424
 
4.5%
Open Punctuation 4370
 
3.1%
Close Punctuation 4370
 
3.1%
Dash Punctuation 588
 
0.4%
Uppercase Letter 353
 
0.2%
Math Symbol 58
 
< 0.1%
Lowercase Letter 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 11288
 
14.0%
초 6936
 
8.6%
동 4616
 
5.7%
시 4280
 
5.3%
울 4250
 
5.3%
구 4250
 
5.3%
별 4224
 
5.2%
특 4224
 
5.2%
로 4165
 
5.2%
층 3099
 
3.8%
Other values (366) 29394
36.4%
Uppercase Letter
ValueCountFrequency (%)
B 191
54.1%
A 26
 
7.4%
T 21
 
5.9%
G 13
 
3.7%
C 12
 
3.4%
L 10
 
2.8%
E 9
 
2.5%
R 8
 
2.3%
D 8
 
2.3%
S 7
 
2.0%
Other values (12) 48
 
13.6%
Decimal Number
ValueCountFrequency (%)
1 6692
29.3%
2 3106
13.6%
3 2401
 
10.5%
0 2219
 
9.7%
4 1815
 
8.0%
5 1760
 
7.7%
7 1562
 
6.8%
6 1288
 
5.6%
8 1007
 
4.4%
9 953
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 6
31.6%
i 3
15.8%
f 2
 
10.5%
v 2
 
10.5%
e 2
 
10.5%
o 1
 
5.3%
d 1
 
5.3%
u 1
 
5.3%
t 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 6388
99.4%
? 27
 
0.4%
/ 4
 
0.1%
. 2
 
< 0.1%
？ 2
 
< 0.1%
@ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
55.6%
Ⅱ 4
44.4%
Space Separator
ValueCountFrequency (%)
22747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 588
100.0%
Math Symbol
ValueCountFrequency (%)
~ 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80725
56.7%
Common 61360
43.1%
Latin 380
 
0.3%
Han 1
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 11288
 
14.0%
초 6936
 
8.6%
동 4616
 
5.7%
시 4280
 
5.3%
울 4250
 
5.3%
구 4250
 
5.3%
별 4224
 
5.2%
특 4224
 
5.2%
로 4165
 
5.2%
층 3099
 
3.8%
Other values (365) 29393
36.4%
Latin
ValueCountFrequency (%)
B 191
50.3%
A 26
 
6.8%
T 21
 
5.5%
G 13
 
3.4%
C 12
 
3.2%
L 10
 
2.6%
E 9
 
2.4%
R 8
 
2.1%
D 8
 
2.1%
S 7
 
1.8%
Other values (22) 75
 
19.7%
Common
ValueCountFrequency (%)
22747
37.1%
1 6692
 
10.9%
, 6388
 
10.4%
( 4370
 
7.1%
) 4370
 
7.1%
2 3106
 
5.1%
3 2401
 
3.9%
0 2219
 
3.6%
4 1815
 
3.0%
5 1760
 
2.9%
Other values (11) 5492
 
9.0%
Han
ValueCountFrequency (%)
大 1
100.0%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80725
56.7%
ASCII 61729
43.3%
Number Forms 9
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22747
36.8%
1 6692
 
10.8%
, 6388
 
10.3%
( 4370
 
7.1%
) 4370
 
7.1%
2 3106
 
5.0%
3 2401
 
3.9%
0 2219
 
3.6%
4 1815
 
2.9%
5 1760
 
2.9%
Other values (40) 5861
 
9.5%
Hangul
ValueCountFrequency (%)
서 11288
 
14.0%
초 6936
 
8.6%
동 4616
 
5.7%
시 4280
 
5.3%
울 4250
 
5.3%
구 4250
 
5.3%
별 4224
 
5.2%
특 4224
 
5.2%
로 4165
 
5.2%
층 3099
 
3.8%
Other values (365) 29393
36.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
55.6%
Ⅱ 4
44.4%
None
ValueCountFrequency (%)
？ 2
66.7%
Ι 1
33.3%
CJK
ValueCountFrequency (%)
大 1
100.0%

소재지지번
Text

Distinct5544
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:07:08.782008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length56
Mean length30.1334
Min length16

Characters and Unicode

Total characters301334
Distinct characters443
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3671 ?
Unique (%)36.7%

Sample

1st row서울특별시 서초구 잠원동 19번지 12호
2nd row서울특별시 서초구 반포동 708번지 1호 지하1층
3rd row서울특별시 서초구 방배동 954번지 31호 1층
4th row서울특별시 서초구 서초동 1303번지 36호 트라이랜드빌딩 8층
5th row서울특별시 서초구 서초동 1309번지 2호
ValueCountFrequency (%)
서울특별시 10000
 
16.7%
서초구 10000
 
16.7%
서초동 4037
 
6.8%
방배동 1944
 
3.3%
1층 1845
 
3.1%
양재동 1534
 
2.6%
지하1층 1251
 
2.1%
반포동 1223
 
2.0%
잠원동 1008
 
1.7%
1호 975
 
1.6%
Other values (3090) 25904
43.4%
2024-05-18T13:07:10.246275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72745
24.1%
서 24252
 
8.0%
1 17698
 
5.9%
초 14188
 
4.7%
지 12752
 
4.2%
호 11128
 
3.7%
동 10291
 
3.4%
시 10105
 
3.4%
울 10035
 
3.3%
구 10021
 
3.3%
Other values (433) 108119
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164688
54.7%
Space Separator 72745
24.1%
Decimal Number 58835
 
19.5%
Other Punctuation 1253
 
0.4%
Open Punctuation 1038
 
0.3%
Dash Punctuation 1037
 
0.3%
Close Punctuation 1036
 
0.3%
Uppercase Letter 536
 
0.2%
Math Symbol 138
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24252
14.7%
초 14188
 
8.6%
지 12752
 
7.7%
호 11128
 
6.8%
동 10291
 
6.2%
시 10105
 
6.1%
울 10035
 
6.1%
구 10021
 
6.1%
번 10007
 
6.1%
특 10000
 
6.1%
Other values (375) 41909
25.4%
Uppercase Letter
ValueCountFrequency (%)
B 315
58.8%
A 39
 
7.3%
T 23
 
4.3%
G 15
 
2.8%
C 14
 
2.6%
J 14
 
2.6%
M 12
 
2.2%
F 12
 
2.2%
D 12
 
2.2%
E 11
 
2.1%
Other values (12) 69
 
12.9%
Decimal Number
ValueCountFrequency (%)
1 17698
30.1%
2 6898
 
11.7%
3 6220
 
10.6%
0 5284
 
9.0%
7 4485
 
7.6%
5 4447
 
7.6%
4 4218
 
7.2%
6 3516
 
6.0%
8 3119
 
5.3%
9 2950
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 7
35.0%
i 3
15.0%
t 2
 
10.0%
d 2
 
10.0%
v 1
 
5.0%
f 1
 
5.0%
l 1
 
5.0%
e 1
 
5.0%
o 1
 
5.0%
u 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1063
84.8%
? 145
 
11.6%
. 18
 
1.4%
/ 16
 
1.3%
@ 5
 
0.4%
: 4
 
0.3%
？ 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1036
99.8%
[ 2
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
85.7%
Ⅰ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
72745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1037
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1036
100.0%
Math Symbol
ValueCountFrequency (%)
~ 138
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164687
54.7%
Common 136083
45.2%
Latin 562
 
0.2%
Han 1
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24252
14.7%
초 14188
 
8.6%
지 12752
 
7.7%
호 11128
 
6.8%
동 10291
 
6.2%
시 10105
 
6.1%
울 10035
 
6.1%
구 10021
 
6.1%
번 10007
 
6.1%
특 10000
 
6.1%
Other values (374) 41908
25.4%
Latin
ValueCountFrequency (%)
B 315
56.0%
A 39
 
6.9%
T 23
 
4.1%
G 15
 
2.7%
C 14
 
2.5%
J 14
 
2.5%
M 12
 
2.1%
F 12
 
2.1%
D 12
 
2.1%
E 11
 
2.0%
Other values (23) 95
 
16.9%
Common
ValueCountFrequency (%)
72745
53.5%
1 17698
 
13.0%
2 6898
 
5.1%
3 6220
 
4.6%
0 5284
 
3.9%
7 4485
 
3.3%
5 4447
 
3.3%
4 4218
 
3.1%
6 3516
 
2.6%
8 3119
 
2.3%
Other values (14) 7453
 
5.5%
Han
ValueCountFrequency (%)
大 1
100.0%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164687
54.7%
ASCII 136635
45.3%
Number Forms 7
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72745
53.2%
1 17698
 
13.0%
2 6898
 
5.0%
3 6220
 
4.6%
0 5284
 
3.9%
7 4485
 
3.3%
5 4447
 
3.3%
4 4218
 
3.1%
6 3516
 
2.6%
8 3119
 
2.3%
Other values (43) 8005
 
5.9%
Hangul
ValueCountFrequency (%)
서 24252
14.7%
초 14188
 
8.6%
지 12752
 
7.7%
호 11128
 
6.8%
동 10291
 
6.2%
시 10105
 
6.1%
울 10035
 
6.1%
구 10021
 
6.1%
번 10007
 
6.1%
특 10000
 
6.1%
Other values (374) 41908
25.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
85.7%
Ⅰ 1
 
14.3%
None
ValueCountFrequency (%)
？ 2
66.7%
Ι 1
33.3%
CJK
ValueCountFrequency (%)
大 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3649
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111901
Minimum19890517
Maximum20240226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:07:10.835857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890517
5-th percentile20010526
Q120051124
median20110518
Q320171117
95-th percentile20211102
Maximum20240226
Range349709
Interquartile range (IQR)119993.25

Descriptive statistics

Standard deviation69187.941
Coefficient of variation (CV)0.0034401492
Kurtosis-0.96992707
Mean20111901
Median Absolute Deviation (MAD)60192.5
Skewness-0.090288238
Sum2.0111901 × 1011
Variance4.7869712 × 109
MonotonicityNot monotonic
2024-05-18T13:07:11.423957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041102 159
 
1.6%
20180502 134
 
1.3%
20030110 115
 
1.1%
20040116 81
 
0.8%
20061231 76
 
0.8%
20210802 72
 
0.7%
20180327 68
 
0.7%
20181112 60
 
0.6%
20181129 50
 
0.5%
20200102 48
 
0.5%
Other values (3639) 9137
91.4%
ValueCountFrequency (%)
19890517 1
 
< 0.1%
19890607 1
 
< 0.1%
19891024 5
0.1%
19910202 1
 
< 0.1%
19910511 1
 
< 0.1%
19910720 1
 
< 0.1%
19911110 1
 
< 0.1%
19921122 1
 
< 0.1%
19930227 1
 
< 0.1%
19930820 1
 
< 0.1%
ValueCountFrequency (%)
20240226 1
< 0.1%
20240222 1
< 0.1%
20240220 1
< 0.1%
20240206 1
< 0.1%
20240201 2
< 0.1%
20240125 2
< 0.1%
20240123 1
< 0.1%
20240109 1
< 0.1%
20231228 2
< 0.1%
20231221 1
< 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

2024-05-18T13:07:11.971335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:07:12.297342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct2465
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:07:12.853995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length123
Mean length12.8582
Min length2

Characters and Unicode

Total characters128582
Distinct characters256
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1842 ?
Unique (%)18.4%

Sample

1st row영업정지15일(2004.8.18-2004.9.1)
2nd row과태료50만원부과(자진납부 40만원: 24만원+종업원 2명 16만원)
3rd row과태료부과(사전통지 기한 내 납부 영업주 24만원, 종사자 8만원)
4th row영업정지
5th row과태료 처분(70만원)
ValueCountFrequency (%)
시정명령 1402
 
9.0%
영업소폐쇄 1087
 
7.0%
과태료 829
 
5.3%
과태료부과 701
 
4.5%
영업정지 609
 
3.9%
부과 543
 
3.5%
시설개수명령 419
 
2.7%
20만원 309
 
2.0%
영업소폐쇄(직권말소 299
 
1.9%
허가취소 246
 
1.6%
Other values (2762) 9115
58.6%
2024-05-18T13:07:14.518647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10210
 
7.9%
과 7320
 
5.7%
2 6253
 
4.9%
. 5723
 
4.5%
5569
 
4.3%
1 5044
 
3.9%
부 4238
 
3.3%
정 3818
 
3.0%
( 3812
 
3.0%
) 3802
 
3.0%
Other values (246) 72793
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76002
59.1%
Decimal Number 30996
24.1%
Other Punctuation 7688
 
6.0%
Space Separator 5569
 
4.3%
Open Punctuation 3815
 
3.0%
Close Punctuation 3805
 
3.0%
Dash Punctuation 427
 
0.3%
Math Symbol 275
 
0.2%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7320
 
9.6%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.3%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (220) 36407
47.9%
Decimal Number
ValueCountFrequency (%)
0 10210
32.9%
2 6253
20.2%
1 5044
16.3%
3 1931
 
6.2%
4 1551
 
5.0%
5 1541
 
5.0%
6 1445
 
4.7%
8 1129
 
3.6%
7 1092
 
3.5%
9 800
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 5723
74.4%
, 1347
 
17.5%
: 290
 
3.8%
% 220
 
2.9%
/ 80
 
1.0%
* 27
 
0.4%
? 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3812
99.9%
【 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3802
99.9%
】 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 273
99.3%
+ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
5569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 427
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76002
59.1%
Common 52580
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7320
 
9.6%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.3%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (220) 36407
47.9%
Common
ValueCountFrequency (%)
0 10210
19.4%
2 6253
11.9%
. 5723
10.9%
5569
10.6%
1 5044
9.6%
( 3812
 
7.2%
) 3802
 
7.2%
3 1931
 
3.7%
4 1551
 
2.9%
5 1541
 
2.9%
Other values (16) 7144
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75755
58.9%
ASCII 52574
40.9%
Compat Jamo 247
 
0.2%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10210
19.4%
2 6253
11.9%
. 5723
10.9%
5569
10.6%
1 5044
9.6%
( 3812
 
7.3%
) 3802
 
7.2%
3 1931
 
3.7%
4 1551
 
3.0%
5 1541
 
2.9%
Other values (14) 7138
13.6%
Hangul
ValueCountFrequency (%)
과 7320
 
9.7%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.4%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (218) 36160
47.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 246
99.6%
ㅁ 1
 
0.4%
None
ValueCountFrequency (%)
【 3
50.0%
】 3
50.0%

법적근거
Text

Distinct606
Distinct (%)6.1%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2024-05-18T13:07:15.194095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length10.265142
Min length1

Characters and Unicode

Total characters102364
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique277 ?
Unique (%)2.8%

Sample

1st row식품위생법 제58조
2nd row법 제101조제3항제1호
3rd row법 제101조제3항제1호
4th row제44조
5th row식품위생법
ValueCountFrequency (%)
식품위생법 4573
20.6%
법 3876
17.5%
및 1187
 
5.3%
제75조 880
 
4.0%
제37조 815
 
3.7%
제71조 719
 
3.2%
제36조 672
 
3.0%
제21조 624
 
2.8%
제31조 459
 
2.1%
제101조제2항제1호 457
 
2.1%
Other values (417) 7950
35.8%
2024-05-18T13:07:16.706690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 13018
12.7%
12276
12.0%
조 10714
10.5%
법 9368
 
9.2%
1 6583
 
6.4%
위 5177
 
5.1%
생 5128
 
5.0%
품 4812
 
4.7%
식 4802
 
4.7%
7 4755
 
4.6%
Other values (124) 25731
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63077
61.6%
Decimal Number 25528
24.9%
Space Separator 12276
 
12.0%
Other Punctuation 1373
 
1.3%
Close Punctuation 55
 
0.1%
Open Punctuation 54
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 13018
20.6%
조 10714
17.0%
법 9368
14.9%
위 5177
 
8.2%
생 5128
 
8.1%
품 4812
 
7.6%
식 4802
 
7.6%
항 2570
 
4.1%
호 1229
 
1.9%
및 1201
 
1.9%
Other values (106) 5058
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 6583
25.8%
7 4755
18.6%
3 3206
12.6%
2 3180
12.5%
4 2170
 
8.5%
6 1926
 
7.5%
5 1561
 
6.1%
0 1402
 
5.5%
8 661
 
2.6%
9 84
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 1352
98.5%
. 18
 
1.3%
? 2
 
0.1%
？ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12276
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63077
61.6%
Common 39287
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 13018
20.6%
조 10714
17.0%
법 9368
14.9%
위 5177
 
8.2%
생 5128
 
8.1%
품 4812
 
7.6%
식 4802
 
7.6%
항 2570
 
4.1%
호 1229
 
1.9%
및 1201
 
1.9%
Other values (106) 5058
 
8.0%
Common
ValueCountFrequency (%)
12276
31.2%
1 6583
16.8%
7 4755
 
12.1%
3 3206
 
8.2%
2 3180
 
8.1%
4 2170
 
5.5%
6 1926
 
4.9%
5 1561
 
4.0%
0 1402
 
3.6%
, 1352
 
3.4%
Other values (8) 876
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63075
61.6%
ASCII 39286
38.4%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 13018
20.6%
조 10714
17.0%
법 9368
14.9%
위 5177
 
8.2%
생 5128
 
8.1%
품 4812
 
7.6%
식 4802
 
7.6%
항 2570
 
4.1%
호 1229
 
1.9%
및 1201
 
1.9%
Other values (104) 5056
 
8.0%
ASCII
ValueCountFrequency (%)
12276
31.2%
1 6583
16.8%
7 4755
 
12.1%
3 3206
 
8.2%
2 3180
 
8.1%
4 2170
 
5.5%
6 1926
 
4.9%
5 1561
 
4.0%
0 1402
 
3.6%
, 1352
 
3.4%
Other values (7) 875
 
2.2%
Compat Jamo
ValueCountFrequency (%)
ㅔ 1
50.0%
ㅈ 1
50.0%
None
ValueCountFrequency (%)
？ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3690
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111494
Minimum19890517
Maximum20240222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:07:17.363441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890517
5-th percentile20010528
Q120051121
median20110518
Q320171102
95-th percentile20210929
Maximum20240222
Range349705
Interquartile range (IQR)119980.5

Descriptive statistics

Standard deviation68770.531
Coefficient of variation (CV)0.003419464
Kurtosis-0.96368983
Mean20111494
Median Absolute Deviation (MAD)60193
Skewness-0.096072056
Sum2.0111494 × 1011
Variance4.7293859 × 109
MonotonicityNot monotonic
2024-05-18T13:07:17.955792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041102 159
 
1.6%
20180502 134
 
1.3%
20201231 129
 
1.3%
20030110 114
 
1.1%
20230101 97
 
1.0%
20040116 81
 
0.8%
20061231 76
 
0.8%
20180327 68
 
0.7%
20181129 50
 
0.5%
20140801 48
 
0.5%
Other values (3680) 9044
90.4%
ValueCountFrequency (%)
19890517 1
 
< 0.1%
19890607 1
 
< 0.1%
19891024 5
0.1%
19910202 1
 
< 0.1%
19910511 1
 
< 0.1%
19910720 1
 
< 0.1%
19911110 1
 
< 0.1%
19921122 1
 
< 0.1%
19930227 1
 
< 0.1%
19930330 1
 
< 0.1%
ValueCountFrequency (%)
20240222 1
< 0.1%
20240220 1
< 0.1%
20240206 2
< 0.1%
20240201 2
< 0.1%
20240123 1
< 0.1%
20240121 2
< 0.1%
20240109 1
< 0.1%
20231229 1
< 0.1%
20231228 1
< 0.1%
20231221 1
< 0.1%

위반내용
Text

Distinct4110
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:07:18.979733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length322
Median length207
Mean length22.5597
Min length1

Characters and Unicode

Total characters225597
Distinct characters868
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2904 ?
Unique (%)29.0%

Sample

1st row호객행위1차
2nd row1) 건강진단을 받지 않은 자를 영업에 종사시킨 영업자(2/5) : 과태료30만원 2) 건강진단을 받지 않은 종업원(2명) : 과태료20만원 총 과태료50만원 부과
3rd row건강진단을 받지 않은 종업원 (이환진 890926-1)
4th row업소내 도박이나 그 밖의 사행행위 조장(1차)
5th row건강진단미필(4/9)
ValueCountFrequency (%)
위생교육 915
 
2.2%
및 754
 
1.8%
미필 581
 
1.4%
영업자 510
 
1.2%
494
 
1.2%
전부 470
 
1.1%
건강진단 440
 
1.0%
영업시설물 430
 
1.0%
영업장외 415
 
1.0%
철거 360
 
0.9%
Other values (7414) 36935
87.3%
2024-05-18T13:07:20.380525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33409
 
14.8%
업 7223
 
3.2%
1 6212
 
2.8%
) 5604
 
2.5%
( 5571
 
2.5%
영 4459
 
2.0%
2 4186
 
1.9%
미 3954
 
1.8%
차 3824
 
1.7%
위 3744
 
1.7%
Other values (858) 147411
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154113
68.3%
Space Separator 33409
 
14.8%
Decimal Number 17935
 
8.0%
Close Punctuation 5884
 
2.6%
Open Punctuation 5851
 
2.6%
Other Punctuation 5701
 
2.5%
Lowercase Letter 1110
 
0.5%
Dash Punctuation 871
 
0.4%
Uppercase Letter 476
 
0.2%
Other Symbol 128
 
0.1%
Other values (5) 119
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7223
 
4.7%
영 4459
 
2.9%
미 3954
 
2.6%
차 3824
 
2.5%
위 3744
 
2.4%
기 3465
 
2.2%
시 3096
 
2.0%
설 2859
 
1.9%
장 2184
 
1.4%
고 2172
 
1.4%
Other values (759) 117133
76.0%
Uppercase Letter
ValueCountFrequency (%)
A 52
 
10.9%
O 47
 
9.9%
H 33
 
6.9%
C 32
 
6.7%
L 28
 
5.9%
N 27
 
5.7%
S 25
 
5.3%
I 24
 
5.0%
R 23
 
4.8%
U 22
 
4.6%
Other values (16) 163
34.2%
Lowercase Letter
ValueCountFrequency (%)
w 147
13.2%
o 106
 
9.5%
m 103
 
9.3%
c 72
 
6.5%
t 68
 
6.1%
g 63
 
5.7%
r 57
 
5.1%
k 56
 
5.0%
a 53
 
4.8%
e 52
 
4.7%
Other values (15) 333
30.0%
Other Punctuation
ValueCountFrequency (%)
. 2352
41.3%
, 1605
28.2%
/ 800
 
14.0%
: 731
 
12.8%
? 98
 
1.7%
* 41
 
0.7%
' 35
 
0.6%
% 23
 
0.4%
？ 8
 
0.1%
※ 3
 
0.1%
Other values (3) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 6212
34.6%
2 4186
23.3%
0 3121
17.4%
3 1020
 
5.7%
6 820
 
4.6%
4 623
 
3.5%
5 569
 
3.2%
9 485
 
2.7%
7 472
 
2.6%
8 427
 
2.4%
Other Symbol
ValueCountFrequency (%)
○ 92
71.9%
㎡ 25
 
19.5%
△ 6
 
4.7%
℃ 4
 
3.1%
㈜ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 5604
95.2%
】 204
 
3.5%
] 74
 
1.3%
』 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5571
95.2%
【 204
 
3.5%
[ 74
 
1.3%
『 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 26
66.7%
+ 8
 
20.5%
× 4
 
10.3%
↑ 1
 
2.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 22
71.0%
“ 9
29.0%
Final Punctuation
ValueCountFrequency (%)
’ 21
72.4%
” 8
 
27.6%
Space Separator
ValueCountFrequency (%)
33409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 871
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154111
68.3%
Common 69897
31.0%
Latin 1586
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7223
 
4.7%
영 4459
 
2.9%
미 3954
 
2.6%
차 3824
 
2.5%
위 3744
 
2.4%
기 3465
 
2.2%
시 3096
 
2.0%
설 2859
 
1.9%
장 2184
 
1.4%
고 2172
 
1.4%
Other values (758) 117131
76.0%
Latin
ValueCountFrequency (%)
w 147
 
9.3%
o 106
 
6.7%
m 103
 
6.5%
c 72
 
4.5%
t 68
 
4.3%
g 63
 
4.0%
r 57
 
3.6%
k 56
 
3.5%
a 53
 
3.3%
A 52
 
3.3%
Other values (41) 809
51.0%
Common
ValueCountFrequency (%)
33409
47.8%
1 6212
 
8.9%
) 5604
 
8.0%
( 5571
 
8.0%
2 4186
 
6.0%
0 3121
 
4.5%
. 2352
 
3.4%
, 1605
 
2.3%
3 1020
 
1.5%
- 871
 
1.2%
Other values (37) 5946
 
8.5%
Han
ValueCountFrequency (%)
新 2
66.7%
層 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154106
68.3%
ASCII 70863
31.4%
None 428
 
0.2%
Geometric Shapes 98
 
< 0.1%
Punctuation 65
 
< 0.1%
CJK Compat 25
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33409
47.1%
1 6212
 
8.8%
) 5604
 
7.9%
( 5571
 
7.9%
2 4186
 
5.9%
0 3121
 
4.4%
. 2352
 
3.3%
, 1605
 
2.3%
3 1020
 
1.4%
- 871
 
1.2%
Other values (70) 6912
 
9.8%
Hangul
ValueCountFrequency (%)
업 7223
 
4.7%
영 4459
 
2.9%
미 3954
 
2.6%
차 3824
 
2.5%
위 3744
 
2.4%
기 3465
 
2.2%
시 3096
 
2.0%
설 2859
 
1.9%
장 2184
 
1.4%
고 2172
 
1.4%
Other values (755) 117126
76.0%
None
ValueCountFrequency (%)
】 204
47.7%
【 204
47.7%
？ 8
 
1.9%
× 4
 
0.9%
Ｉ 3
 
0.7%
『 2
 
0.5%
』 2
 
0.5%
㈜ 1
 
0.2%
Geometric Shapes
ValueCountFrequency (%)
○ 92
93.9%
△ 6
 
6.1%
CJK Compat
ValueCountFrequency (%)
㎡ 25
100.0%
Punctuation
ValueCountFrequency (%)
‘ 22
33.8%
’ 21
32.3%
“ 9
13.8%
” 8
 
12.3%
※ 3
 
4.6%
… 2
 
3.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 3
75.0%
ㅈ 1
 
25.0%
CJK
ValueCountFrequency (%)
新 2
66.7%
層 1
33.3%
Arrows
ValueCountFrequency (%)
↑ 1
100.0%

처분내용
Text

Distinct2465
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T13:07:21.269901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length123
Mean length12.8582
Min length2

Characters and Unicode

Total characters128582
Distinct characters256
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1842 ?
Unique (%)18.4%

Sample

1st row영업정지15일(2004.8.18-2004.9.1)
2nd row과태료50만원부과(자진납부 40만원: 24만원+종업원 2명 16만원)
3rd row과태료부과(사전통지 기한 내 납부 영업주 24만원, 종사자 8만원)
4th row영업정지
5th row과태료 처분(70만원)
ValueCountFrequency (%)
시정명령 1402
 
9.0%
영업소폐쇄 1087
 
7.0%
과태료 829
 
5.3%
과태료부과 701
 
4.5%
영업정지 609
 
3.9%
부과 543
 
3.5%
시설개수명령 419
 
2.7%
20만원 309
 
2.0%
영업소폐쇄(직권말소 299
 
1.9%
허가취소 246
 
1.6%
Other values (2762) 9115
58.6%
2024-05-18T13:07:22.553391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10210
 
7.9%
과 7320
 
5.7%
2 6253
 
4.9%
. 5723
 
4.5%
5569
 
4.3%
1 5044
 
3.9%
부 4238
 
3.3%
정 3818
 
3.0%
( 3812
 
3.0%
) 3802
 
3.0%
Other values (246) 72793
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76002
59.1%
Decimal Number 30996
24.1%
Other Punctuation 7688
 
6.0%
Space Separator 5569
 
4.3%
Open Punctuation 3815
 
3.0%
Close Punctuation 3805
 
3.0%
Dash Punctuation 427
 
0.3%
Math Symbol 275
 
0.2%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7320
 
9.6%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.3%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (220) 36407
47.9%
Decimal Number
ValueCountFrequency (%)
0 10210
32.9%
2 6253
20.2%
1 5044
16.3%
3 1931
 
6.2%
4 1551
 
5.0%
5 1541
 
5.0%
6 1445
 
4.7%
8 1129
 
3.6%
7 1092
 
3.5%
9 800
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 5723
74.4%
, 1347
 
17.5%
: 290
 
3.8%
% 220
 
2.9%
/ 80
 
1.0%
* 27
 
0.4%
? 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3812
99.9%
【 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3802
99.9%
】 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 273
99.3%
+ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
5569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 427
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76002
59.1%
Common 52580
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7320
 
9.6%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.3%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (220) 36407
47.9%
Common
ValueCountFrequency (%)
0 10210
19.4%
2 6253
11.9%
. 5723
10.9%
5569
10.6%
1 5044
9.6%
( 3812
 
7.2%
) 3802
 
7.2%
3 1931
 
3.7%
4 1551
 
2.9%
5 1541
 
2.9%
Other values (16) 7144
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75755
58.9%
ASCII 52574
40.9%
Compat Jamo 247
 
0.2%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10210
19.4%
2 6253
11.9%
. 5723
10.9%
5569
10.6%
1 5044
9.6%
( 3812
 
7.3%
) 3802
 
7.2%
3 1931
 
3.7%
4 1551
 
3.0%
5 1541
 
2.9%
Other values (14) 7138
13.6%
Hangul
ValueCountFrequency (%)
과 7320
 
9.7%
부 4238
 
5.6%
정 3818
 
5.0%
원 3769
 
5.0%
업 3717
 
4.9%
영 3671
 
4.8%
료 3341
 
4.4%
만 3298
 
4.4%
태 3257
 
4.3%
시 3166
 
4.2%
Other values (218) 36160
47.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 246
99.6%
ㅁ 1
 
0.4%
None
ValueCountFrequency (%)
【 3
50.0%
】 3
50.0%

처분기간
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)2.3%
Missing9034
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean12.012422
Minimum0
Maximum30
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:07:22.958015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.25
Q17
median15
Q315
95-th percentile15
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6875263
Coefficient of variation (CV)0.39022323
Kurtosis0.11811959
Mean12.012422
Median Absolute Deviation (MAD)0
Skewness0.054520729
Sum11604
Variance21.972903
MonotonicityNot monotonic
2024-05-18T13:07:23.477605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
15 512
 
5.1%
7 289
 
2.9%
10 55
 
0.5%
20 21
 
0.2%
3 20
 
0.2%
5 12
 
0.1%
2 9
 
0.1%
22 9
 
0.1%
14 6
 
0.1%
17 6
 
0.1%
Other values (12) 27
 
0.3%
(Missing) 9034
90.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 2
 
< 0.1%
2 9
 
0.1%
3 20
 
0.2%
4 3
 
< 0.1%
5 12
 
0.1%
6 1
 
< 0.1%
7 289
2.9%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
29 5
 
0.1%
27 2
 
< 0.1%
25 2
 
< 0.1%
23 2
 
< 0.1%
22 9
 
0.1%
20 21
 
0.2%
17 6
 
0.1%
15 512
5.1%
14 6
 
0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct3139
Distinct (%)47.9%
Missing3452
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean241.09007
Minimum0
Maximum219192
Zeros47
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T13:07:23.960475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.27
Q152.8
median106.92
Q3174.78
95-th percentile537.599
Maximum219192
Range219192
Interquartile range (IQR)121.98

Descriptive statistics

Standard deviation3838.8364
Coefficient of variation (CV)15.922831
Kurtosis3232.7469
Mean241.09007
Median Absolute Deviation (MAD)57.975
Skewness56.700572
Sum1578657.8
Variance14736665
MonotonicityNot monotonic
2024-05-18T13:07:24.498786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 57
 
0.6%
23.1 50
 
0.5%
26.4 48
 
0.5%
0.0 47
 
0.5%
29.7 45
 
0.4%
49.5 44
 
0.4%
99.0 33
 
0.3%
59.4 31
 
0.3%
66.0 27
 
0.3%
129.6 27
 
0.3%
Other values (3129) 6139
61.4%
(Missing) 3452
34.5%
ValueCountFrequency (%)
0.0 47
0.5%
1.64 1
 
< 0.1%
1.98 1
 
< 0.1%
2.0 1
 
< 0.1%
2.7 1
 
< 0.1%
3.0 3
 
< 0.1%
3.24 1
 
< 0.1%
3.3 9
 
0.1%
3.33 1
 
< 0.1%
3.45 1
 
< 0.1%
ValueCountFrequency (%)
219192.0 2
 
< 0.1%
6717.33 1
 
< 0.1%
5035.0 3
< 0.1%
4911.2 1
 
< 0.1%
3812.82 1
 
< 0.1%
3251.08 6
0.1%
3005.79 3
< 0.1%
2929.95 1
 
< 0.1%
2600.0 2
 
< 0.1%
2482.08 1
 
< 0.1%

Interactions

2024-05-18T13:06:54.552563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:48.400490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:49.794904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:51.600253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:53.094059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:54.839455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:48.690544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:50.148340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:51.918097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:53.436714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:55.130267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:48.976107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:50.439382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:52.225437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:53.714989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:55.407188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:49.257324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:50.798996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:52.534567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:54.001717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:55.703816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:49.531881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:51.314509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:52.824579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:06:54.281852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:07:24.810560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.5040.5741.0000.9990.3160.000
업종명0.5041.0000.9970.4910.4870.6240.202
업태명0.5740.9971.0000.5620.5600.6530.364
지도점검일자1.0000.4910.5621.0001.0000.3150.000
위반일자0.9990.4870.5601.0001.0000.3130.000
처분기간0.3160.6240.6530.3150.3131.0000.468
영업장면적(㎡)0.0000.2020.3640.0000.0000.4681.000
2024-05-18T13:07:25.256382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.998-0.230-0.0740.200
지도점검일자0.9991.0000.998-0.234-0.0730.193
위반일자0.9980.9981.000-0.236-0.0710.191
처분기간-0.230-0.234-0.2361.0000.0800.224
영업장면적(㎡)-0.074-0.073-0.0710.0801.0000.160
업종명0.2000.1930.1910.2240.1601.000

Missing values

2024-05-18T13:06:56.070898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:06:56.844157image/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.
2024-05-18T13:06:57.344947image/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(㎡)
1749632100002004080419980099240일반음식점한식초원마산<NA>서울특별시 서초구 잠원동 19번지 12호20040531처분확정영업정지15일(2004.8.18-2004.9.1)식품위생법 제58조20040531호객행위1차영업정지15일(2004.8.18-2004.9.1)15127.3
44432100002023082820040100043일반음식점한식현지식당서울특별시 서초구 강남대로 545-15, 지하1층 (반포동)서울특별시 서초구 반포동 708번지 1호 지하1층20230808처분확정과태료50만원부과(자진납부 40만원: 24만원+종업원 2명 16만원)법 제101조제3항제1호202308081) 건강진단을 받지 않은 자를 영업에 종사시킨 영업자(2/5) : 과태료30만원 2) 건강진단을 받지 않은 종업원(2명) : 과태료20만원 총 과태료50만원 부과과태료50만원부과(자진납부 40만원: 24만원+종업원 2명 16만원)<NA><NA>
4532100002023122820210099968일반음식점한식팔당냉면서울특별시 서초구 도구로 93, 1층 (방배동)서울특별시 서초구 방배동 954번지 31호 1층20231212처분확정과태료부과(사전통지 기한 내 납부 영업주 24만원, 종사자 8만원)법 제101조제3항제1호20231212건강진단을 받지 않은 종업원 (이환진 890926-1)과태료부과(사전통지 기한 내 납부 영업주 24만원, 종사자 8만원)<NA><NA>
521732100002017122820110098558일반음식점정종/대포집/소주방셔플서울특별시 서초구 서초대로77길 58, 8층 (서초동, 트라이랜드빌딩 )서울특별시 서초구 서초동 1303번지 36호 트라이랜드빌딩 8층20170221처분확정영업정지제44조20170221업소내 도박이나 그 밖의 사행행위 조장(1차)영업정지<NA><NA>
2106232100002000092119910098374유흥주점영업룸살롱메이(May)<NA>서울특별시 서초구 서초동 1309번지 2호20000821처분확정과태료 처분(70만원)식품위생법20000821건강진단미필(4/9)과태료 처분(70만원)<NA>470.9
1048732100002011090520030099452단란주점단란주점아트<NA>서울특별시 서초구 서초동 1600번지 3호 지하2층20110714처분확정영업정지4420110714유흥접객행위(1차)영업정지<NA>115.37
448432100002018062820100098699일반음식점한식구룡포 막회서울특별시 서초구 반포대로26길 75, 1층 (서초동)서울특별시 서초구 서초동 1570번지 13호 1층20180605처분확정시정명령법 제71조, 법 제74조 및 법 제75조20180605영업장 외 영업시정명령<NA><NA>
2157832100001994112419930099076일반음식점분식사또양념치킨<NA>서울특별시 서초구 반포동 705번지 8호19941024처분확정허가취소식품위생법19941024기타 준수사항 위반허가취소<NA>31.5
1907632100002003022819800098061일반음식점한식산골<NA>서울특별시 서초구 반포동 5번지 2호20030110처분확정영업소폐쇄(2003.2.28)식품위생법200301106월이상 무단휴업 및 시설물멸실영업소폐쇄(2003.2.28)<NA>41.1
1891032100002003041119950098306일반음식점경양식인아<NA>서울특별시 서초구 서초동 1606번지 1호 지하1층20030409처분확정시설개수명령(2003.4.25까지)식품위생법 제21조20030409객실내 자막용영상장치 2대설치, 객실내 잠금장치2곳설치시설개수명령(2003.4.25까지)<NA>61.17
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
316732100002019112119880098363일반음식점한식(주)거북곱창서울특별시 서초구 서초대로50길 94, (서초동,우진빌딩)서울특별시 서초구 서초동 1565번지 8호 우진빌딩(1층?)20190719처분확정시설개수명령(행정처분명령서 수령 즉시)법 제101조제2항제1호20190719종업원 8명 중 1명(정○현) 건강진단 미필【1차 위반】시설개수명령(행정처분명령서 수령 즉시)<NA>272.88
971432100002012080820100099603휴게음식점패스트푸드맥도날드 서초GS점서울특별시 서초구 반포대로 69, 1층,2층 (서초동)서울특별시 서초구 서초동 1536번지 15호 1층,2층20120802처분확정시설개수명령제36조20120802조리장내 폐기물 용기 미설치시설개수명령<NA><NA>
748632100002015050420090099012식품등 수입판매업식품등 수입판매업(주)킴스인더스트리서울특별시 서초구 서초대로15길 8-19, 3층 (방배동, 덕안빌딩)서울특별시 서초구 방배동 870번지 34호 덕안빌딩 3층20150417처분확정영업소폐쇄법 제37조 7항20150417영업시설물 무단멸실영업소폐쇄<NA>54.6
1234332100002009102120020098891일반음식점경양식동경<NA>서울특별시 서초구 양재동 331번지 5호 (지하1층)20090824처분확정영업정지 1개월식품위생법제44조20090824유흥접객행위(1차)영업정지 1개월<NA>171.24
483532100002018050320030098454일반음식점한식향림서울특별시 서초구 법원로3길 10, 1층 (서초동)서울특별시 서초구 서초동 1706번지 11호 1층20180327처분확정영업허가ㆍ등록취소(직권말소)법 제37조 7항20180327(직권말소)영업허가ㆍ등록취소(직권말소)<NA>160.5
2009932100002002020519960098273단란주점단란주점세르시오<NA>서울특별시 서초구 서초동 1339번지 4호20020128처분확정시설개수명령(2002.2.19까지)식품위생법 제21조20020128객실 투명유리 미설치시설개수명령(2002.2.19까지)<NA>144.1
362832100002019071820130099317일반음식점한식솔서울특별시 서초구 효령로 304, 11층 11011호,11022호 (서초동)서울특별시 서초구 서초동 1445번지 3호 11층 11011호,11022호20181016처분확정영업정지식품위생법 제75조20181016유통기한 경과식품(플레인베이글외1종) 조리.판매 목적으로 보관.진열(1차)영업정지1046.85
7183210000202305042017-19-45피부미용업기타펄왁싱서울특별시 서초구 효령로77길 34, 아크로텔 강남역 지하1층 B116호 (서초동)서울특별시 서초구 서초동 1337번지 2호 아크로텔 강남역20230407처분확정과태료부과법 제22조제2항제6호202212312022년도 기존영업자 위생교육 미수료과태료부과<NA>23.34
1148232100002010080620060098173일반음식점통닭(치킨)악바리옛날치킨<NA>서울특별시 서초구 반포동 743번지 18호 1층20100805처분확정시정명령제44조20100805감판에 신고한 상호와 상이하게 표시시정명령<NA>23.1
438132100002018100220060099259일반음식점한식제일곱창서울특별시 서초구 사평대로 362, 1층 104호 (서초동)서울특별시 서초구 서초동 1302번지 52호 지상104호20180911처분확정시정명령법 제71조20180911영업장외영업1차시정명령<NA>41.33

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
5532100002009091120070098954일반음식점경양식세시셀라(CECI CELA)<NA>서울특별시 서초구 방배동 797번지 7호 ,28호 1층20090903처분확정시정명령식품위생법 제36조 제37조 및 제71조20090903영업장외 영업행위(1차)시정명령<NA><NA>6
20332100002020101220120099269일반음식점분식우리집 김밥서울특별시 서초구 서초대로78길 56, 1층 111호 (서초동)서울특별시 서초구 서초동 1330번지 11호 1층-11120200827처분확정과태료250,000원(2020.10.08.까지 자진납부 시 200,000원)부과법 제101조제2항 제1호20200827사.법 제40조제1항(법 제88조에서 준용하는 경우를 포함한다)을 위반한 경우 2)건강진단을 받지 않은 종업원(미필자 : 허순금-1차)과태료250,000원(2020.10.08.까지 자진납부 시 200,000원)부과<NA><NA>4
22632100002021081319940098759일반음식점한식방배족발서울특별시 서초구 효령로31길 48, 1층 (방배동)서울특별시 서초구 방배동 924번지 8호 1층20210727처분확정과태료부과 (40만원)법 제71조, 법 제72조 및 법 제75조20210727비위생적 무세척과태료부과 (40만원)<NA>129.64
3432100002007111619990099008단란주점단란주점오션<NA>서울특별시 서초구 서초동 1554번지 14호20071023처분확정과태료 20만원 부과식품위생법 제26조20071023영업자 건강진단미필과태료 20만원 부과<NA>96.63
4132100002009021120060099005일반음식점한식연와<NA>서울특별시 서초구 서초동 1366번지 1호 1층, 2층20090108처분확정과태료 300만원 부과식품위생법 제10조20090108쇠고기 원산지 미표시(1차)과태료 300만원 부과<NA>714.413
4332100002009021120060099005일반음식점한식연와<NA>서울특별시 서초구 서초동 1366번지 1호 1층, 2층20090108처분확정시정명령식품위생법 제10조20090108쇠고기 원산지 미표시(1차)시정명령<NA>317.513
7532100002010070519950098368일반음식점호프/통닭버블뱅크<NA>서울특별시 서초구 양재동 276번지 12호 1층20100701처분확정시정명령제12조20100701닭고기원산지미표시시정명령<NA><NA>3
7832100002010080219910098331일반음식점중국식리틀사이공<NA>서울특별시 서초구 서초동 1309번지 0호 동성빌딩 1층20100727처분확정시정명령제36조20100727영업장외영업행위시정명령<NA>60.03
8532100002011010720010099348식품자동판매기영업식품자동판매기영업대영자동차공업사<NA>서울특별시 서초구 잠원동 35번지 25호20101206처분확정영업소폐쇄식품위생법 제36조, 제37조 및 제75조20101206시설물 멸실영업소폐쇄<NA><NA>3
12632100002015061920020099581일반음식점분식감미옥서울특별시 서초구 신반포로23길 30, (잠원동,1층)서울특별시 서초구 잠원동 72번지 2호 1층20150528처분확정과징금 329만원부과제36조, 제37조20150528영업장외 영업행위(2차)과징금 329만원부과<NA>23.13