Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells20076
Missing cells (%)11.8%
Duplicate rows123
Duplicate rows (%)1.2%
Total size in memory1.4 MiB
Average record size in memory150.0 B

Variable types

Categorical3
Numeric5
Unsupported1
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-11303/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 123 (1.2%) 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 (59.8%)Imbalance
소재지도로명 has 6183 (61.8%) missing valuesMissing
처분기간 has 8532 (85.3%) missing valuesMissing
영업장면적(㎡) has 5267 (52.7%) missing valuesMissing
처분일자 is highly skewed (γ1 = 49.05734118)Skewed
위반일자 is highly skewed (γ1 = -63.05584059)Skewed
영업장면적(㎡) is highly skewed (γ1 = 42.31970031)Skewed
교부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:05:00.270066
Analysis finished2024-05-11 07:05:07.545121
Duration7.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3220000 10000
100.0%

Length

2024-05-11T16:05:07.655929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:07.811848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3881
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20094370
Minimum19810928
Maximum30031020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:05:07.972175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810928
5-th percentile19970120
Q120040812
median20090728
Q320161006
95-th percentile20210713
Maximum30031020
Range10220092
Interquartile range (IQR)120194.5

Descriptive statistics

Standard deviation125970.54
Coefficient of variation (CV)0.006268947
Kurtosis3871.57
Mean20094370
Median Absolute Deviation (MAD)59953
Skewness49.057341
Sum2.009437 × 1011
Variance1.5868577 × 1010
MonotonicityNot monotonic
2024-05-11T16:05:08.198256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050201 400
 
4.0%
20070911 255
 
2.5%
20050131 100
 
1.0%
20170614 72
 
0.7%
20061229 71
 
0.7%
20201026 60
 
0.6%
20190318 43
 
0.4%
20190828 41
 
0.4%
20170918 35
 
0.4%
20061222 34
 
0.3%
Other values (3871) 8889
88.9%
ValueCountFrequency (%)
19810928 1
 
< 0.1%
19840406 1
 
< 0.1%
19850418 1
 
< 0.1%
19860107 2
< 0.1%
19860826 3
< 0.1%
19860926 1
 
< 0.1%
19861110 2
< 0.1%
19870116 1
 
< 0.1%
19870430 1
 
< 0.1%
19870730 1
 
< 0.1%
ValueCountFrequency (%)
30031020 1
 
< 0.1%
20240429 1
 
< 0.1%
20240424 1
 
< 0.1%
20240412 1
 
< 0.1%
20240401 3
< 0.1%
20240327 1
 
< 0.1%
20240325 1
 
< 0.1%
20240322 1
 
< 0.1%
20240319 1
 
< 0.1%
20240315 2
< 0.1%

교부번호
Unsupported

REJECTED  UNSUPPORTED 

Missing39
Missing (%)0.4%
Memory size156.2 KiB

업종명
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6806 
유흥주점영업
801 
단란주점
 
627
휴게음식점
 
203
숙박업(일반)
 
165
Other values (32)
1398 

Length

Max length23
Median length5
Mean length5.2962
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 6806
68.1%
유흥주점영업 801
 
8.0%
단란주점 627
 
6.3%
휴게음식점 203
 
2.0%
숙박업(일반) 165
 
1.7%
건강기능식품일반판매업 144
 
1.4%
위생관리용역업 143
 
1.4%
유통전문판매업 140
 
1.4%
즉석판매제조가공업 134
 
1.3%
이용업 128
 
1.3%
Other values (27) 709
 
7.1%

Length

2024-05-11T16:05:08.423459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6806
67.4%
유흥주점영업 801
 
7.9%
단란주점 627
 
6.2%
휴게음식점 203
 
2.0%
숙박업(일반 165
 
1.6%
건강기능식품일반판매업 144
 
1.4%
위생관리용역업 143
 
1.4%
피부미용업 142
 
1.4%
유통전문판매업 140
 
1.4%
즉석판매제조가공업 134
 
1.3%
Other values (20) 795
 
7.9%

업태명
Text

Distinct80
Distinct (%)0.8%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T16:05:08.738667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.4036844
Min length2

Characters and Unicode

Total characters33996
Distinct characters162
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

Unique10 ?
Unique (%)0.1%

Sample

1st row한식
2nd row피부미용업
3rd row경양식
4th row한식
5th row정종/대포집/소주방
ValueCountFrequency (%)
경양식 2777
27.5%
한식 2379
23.6%
단란주점 627
 
6.2%
룸살롱 572
 
5.7%
분식 537
 
5.3%
일식 287
 
2.8%
기타 216
 
2.1%
중국식 202
 
2.0%
위생관리용역업 143
 
1.4%
피부미용업 141
 
1.4%
Other values (71) 2200
21.8%
2024-05-11T16:05:09.230965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 6479
19.1%
경 2777
 
8.2%
양 2777
 
8.2%
한 2405
 
7.1%
업 1459
 
4.3%
점 747
 
2.2%
주 711
 
2.1%
일 655
 
1.9%
단 647
 
1.9%
란 627
 
1.8%
Other values (152) 14712
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33194
97.6%
Close Punctuation 249
 
0.7%
Open Punctuation 249
 
0.7%
Other Punctuation 210
 
0.6%
Space Separator 93
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6479
19.5%
경 2777
 
8.4%
양 2777
 
8.4%
한 2405
 
7.2%
업 1459
 
4.4%
점 747
 
2.3%
주 711
 
2.1%
일 655
 
2.0%
단 647
 
1.9%
란 627
 
1.9%
Other values (146) 13910
41.9%
Other Punctuation
ValueCountFrequency (%)
/ 198
94.3%
, 12
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33194
97.6%
Common 802
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6479
19.5%
경 2777
 
8.4%
양 2777
 
8.4%
한 2405
 
7.2%
업 1459
 
4.4%
점 747
 
2.3%
주 711
 
2.1%
일 655
 
2.0%
단 647
 
1.9%
란 627
 
1.9%
Other values (146) 13910
41.9%
Common
ValueCountFrequency (%)
) 249
31.0%
( 249
31.0%
/ 198
24.7%
93
 
11.6%
, 12
 
1.5%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33194
97.6%
ASCII 802
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 6479
19.5%
경 2777
 
8.4%
양 2777
 
8.4%
한 2405
 
7.2%
업 1459
 
4.4%
점 747
 
2.3%
주 711
 
2.1%
일 655
 
2.0%
단 647
 
1.9%
란 627
 
1.9%
Other values (146) 13910
41.9%
ASCII
ValueCountFrequency (%)
) 249
31.0%
( 249
31.0%
/ 198
24.7%
93
 
11.6%
, 12
 
1.5%
+ 1
 
0.1%

업소명
Text

Distinct6225
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:05:09.685921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length4.6196
Min length1

Characters and Unicode

Total characters46196
Distinct characters995
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4449 ?
Unique (%)44.5%

Sample

1st row우신닭발
2nd row워너비 뷰티
3rd row플로우
4th row명가숯불바베큐
5th row몰리네
ValueCountFrequency (%)
주식회사 42
 
0.4%
엠 35
 
0.3%
앤 25
 
0.2%
필 22
 
0.2%
21
 
0.2%
봄 19
 
0.2%
긋(good 18
 
0.2%
비스트로 18
 
0.2%
lounge 18
 
0.2%
웨이브 17
 
0.2%
Other values (6540) 10760
97.9%
2024-05-11T16:05:10.559209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1486
 
3.2%
이 1479
 
3.2%
1003
 
2.2%
) 921
 
2.0%
( 919
 
2.0%
리 879
 
1.9%
주 812
 
1.8%
라 669
 
1.4%
아 629
 
1.4%
비 521
 
1.1%
Other values (985) 36878
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40973
88.7%
Space Separator 1003
 
2.2%
Uppercase Letter 938
 
2.0%
Close Punctuation 921
 
2.0%
Open Punctuation 919
 
2.0%
Lowercase Letter 915
 
2.0%
Decimal Number 428
 
0.9%
Other Punctuation 89
 
0.2%
Dash Punctuation 8
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1486
 
3.6%
이 1479
 
3.6%
리 879
 
2.1%
주 812
 
2.0%
라 669
 
1.6%
아 629
 
1.5%
비 521
 
1.3%
점 483
 
1.2%
지 422
 
1.0%
마 421
 
1.0%
Other values (910) 33172
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 108
11.8%
o 95
10.4%
a 85
9.3%
i 81
8.9%
t 67
 
7.3%
n 63
 
6.9%
s 60
 
6.6%
r 58
 
6.3%
u 52
 
5.7%
l 49
 
5.4%
Other values (16) 197
21.5%
Uppercase Letter
ValueCountFrequency (%)
O 87
 
9.3%
E 78
 
8.3%
B 71
 
7.6%
S 65
 
6.9%
G 59
 
6.3%
A 56
 
6.0%
W 51
 
5.4%
L 48
 
5.1%
T 46
 
4.9%
I 43
 
4.6%
Other values (16) 334
35.6%
Decimal Number
ValueCountFrequency (%)
1 95
22.2%
2 89
20.8%
0 45
10.5%
3 38
 
8.9%
4 35
 
8.2%
8 35
 
8.2%
5 33
 
7.7%
7 27
 
6.3%
9 16
 
3.7%
6 15
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 28
31.5%
& 26
29.2%
, 11
 
12.4%
？ 9
 
10.1%
? 6
 
6.7%
' 6
 
6.7%
; 2
 
2.2%
: 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1003
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 919
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40971
88.7%
Common 3368
 
7.3%
Latin 1855
 
4.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1486
 
3.6%
이 1479
 
3.6%
리 879
 
2.1%
주 812
 
2.0%
라 669
 
1.6%
아 629
 
1.5%
비 521
 
1.3%
점 483
 
1.2%
지 422
 
1.0%
마 421
 
1.0%
Other values (908) 33170
81.0%
Latin
ValueCountFrequency (%)
e 108
 
5.8%
o 95
 
5.1%
O 87
 
4.7%
a 85
 
4.6%
i 81
 
4.4%
E 78
 
4.2%
B 71
 
3.8%
t 67
 
3.6%
S 65
 
3.5%
n 63
 
3.4%
Other values (43) 1055
56.9%
Common
ValueCountFrequency (%)
1003
29.8%
) 921
27.3%
( 919
27.3%
1 95
 
2.8%
2 89
 
2.6%
0 45
 
1.3%
3 38
 
1.1%
4 35
 
1.0%
8 35
 
1.0%
5 33
 
1.0%
Other values (12) 155
 
4.6%
Han
ValueCountFrequency (%)
木 1
50.0%
蓮 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40967
88.7%
ASCII 5212
 
11.3%
None 9
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1486
 
3.6%
이 1479
 
3.6%
리 879
 
2.1%
주 812
 
2.0%
라 669
 
1.6%
아 629
 
1.5%
비 521
 
1.3%
점 483
 
1.2%
지 422
 
1.0%
마 421
 
1.0%
Other values (907) 33166
81.0%
ASCII
ValueCountFrequency (%)
1003
19.2%
) 921
17.7%
( 919
17.6%
e 108
 
2.1%
o 95
 
1.8%
1 95
 
1.8%
2 89
 
1.7%
O 87
 
1.7%
a 85
 
1.6%
i 81
 
1.6%
Other values (63) 1729
33.2%
None
ValueCountFrequency (%)
？ 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%
CJK
ValueCountFrequency (%)
木 1
50.0%
蓮 1
50.0%

소재지도로명
Text

MISSING 

Distinct2476
Distinct (%)64.9%
Missing6183
Missing (%)61.8%
Memory size156.2 KiB
2024-05-11T16:05:10.969661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length56
Mean length32.665182
Min length22

Characters and Unicode

Total characters124683
Distinct characters386
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

Unique1858 ?
Unique (%)48.7%

Sample

1st row서울특별시 강남구 개포로82길 7, (개포동)
2nd row서울특별시 강남구 삼성로100길 25, 지상2층 (삼성동)
3rd row서울특별시 강남구 논현로 555, (역삼동,지하1층)
4th row서울특별시 강남구 봉은사로72길 4, (삼성동)
5th row서울특별시 강남구 논현로10길 4, 지상2층 (개포동, 청호빌딩)
ValueCountFrequency (%)
서울특별시 3817
 
17.0%
강남구 3817
 
17.0%
지하1층 700
 
3.1%
역삼동 659
 
2.9%
논현동 494
 
2.2%
신사동 433
 
1.9%
지상1층 350
 
1.6%
청담동 277
 
1.2%
삼성동 252
 
1.1%
도산대로 202
 
0.9%
Other values (2184) 11444
51.0%
2024-05-11T16:05:11.713575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18633
 
14.9%
1 6311
 
5.1%
, 5868
 
4.7%
남 4269
 
3.4%
강 4230
 
3.4%
동 4158
 
3.3%
구 4018
 
3.2%
서 3872
 
3.1%
로 3857
 
3.1%
) 3855
 
3.1%
Other values (376) 65612
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71558
57.4%
Decimal Number 20327
 
16.3%
Space Separator 18633
 
14.9%
Other Punctuation 5919
 
4.7%
Close Punctuation 3855
 
3.1%
Open Punctuation 3855
 
3.1%
Dash Punctuation 270
 
0.2%
Uppercase Letter 205
 
0.2%
Math Symbol 37
 
< 0.1%
Lowercase Letter 22
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4269
 
6.0%
강 4230
 
5.9%
동 4158
 
5.8%
구 4018
 
5.6%
서 3872
 
5.4%
로 3857
 
5.4%
시 3845
 
5.4%
울 3821
 
5.3%
별 3819
 
5.3%
특 3817
 
5.3%
Other values (320) 31852
44.5%
Uppercase Letter
ValueCountFrequency (%)
B 76
37.1%
S 23
 
11.2%
K 14
 
6.8%
A 14
 
6.8%
E 9
 
4.4%
T 9
 
4.4%
L 8
 
3.9%
C 6
 
2.9%
I 6
 
2.9%
G 6
 
2.9%
Other values (12) 34
16.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
18.2%
e 3
13.6%
s 2
9.1%
l 2
9.1%
o 2
9.1%
k 2
9.1%
t 2
9.1%
m 1
 
4.5%
i 1
 
4.5%
r 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
1 6311
31.0%
2 2765
13.6%
3 2048
 
10.1%
5 1590
 
7.8%
4 1589
 
7.8%
0 1552
 
7.6%
6 1333
 
6.6%
8 1146
 
5.6%
7 1098
 
5.4%
9 895
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 5868
99.1%
. 45
 
0.8%
/ 3
 
0.1%
& 2
 
< 0.1%
？ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
18633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3855
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Math Symbol
ValueCountFrequency (%)
~ 37
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71558
57.4%
Common 52897
42.4%
Latin 228
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4269
 
6.0%
강 4230
 
5.9%
동 4158
 
5.8%
구 4018
 
5.6%
서 3872
 
5.4%
로 3857
 
5.4%
시 3845
 
5.4%
울 3821
 
5.3%
별 3819
 
5.3%
특 3817
 
5.3%
Other values (320) 31852
44.5%
Latin
ValueCountFrequency (%)
B 76
33.3%
S 23
 
10.1%
K 14
 
6.1%
A 14
 
6.1%
E 9
 
3.9%
T 9
 
3.9%
L 8
 
3.5%
C 6
 
2.6%
I 6
 
2.6%
G 6
 
2.6%
Other values (25) 57
25.0%
Common
ValueCountFrequency (%)
18633
35.2%
1 6311
 
11.9%
, 5868
 
11.1%
) 3855
 
7.3%
( 3855
 
7.3%
2 2765
 
5.2%
3 2048
 
3.9%
5 1590
 
3.0%
4 1589
 
3.0%
0 1552
 
2.9%
Other values (11) 4831
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71558
57.4%
ASCII 53123
42.6%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18633
35.1%
1 6311
 
11.9%
, 5868
 
11.0%
) 3855
 
7.3%
( 3855
 
7.3%
2 2765
 
5.2%
3 2048
 
3.9%
5 1590
 
3.0%
4 1589
 
3.0%
0 1552
 
2.9%
Other values (44) 5057
 
9.5%
Hangul
ValueCountFrequency (%)
남 4269
 
6.0%
강 4230
 
5.9%
동 4158
 
5.8%
구 4018
 
5.6%
서 3872
 
5.4%
로 3857
 
5.4%
시 3845
 
5.4%
울 3821
 
5.3%
별 3819
 
5.3%
특 3817
 
5.3%
Other values (320) 31852
44.5%
None
ValueCountFrequency (%)
？ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번
Text

Distinct5833
Distinct (%)58.4%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T16:05:12.095821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length58
Mean length28.315726
Min length20

Characters and Unicode

Total characters283044
Distinct characters417
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

Unique3953 ?
Unique (%)39.5%

Sample

1st row서울특별시 강남구 개포동 186번지 12호
2nd row서울특별시 강남구 삼성동 153번지 59호
3rd row서울특별시 강남구 역삼동 607번지 12호 지하1층
4th row서울특별시 강남구 일원동 682번지 7호 1층3,4호
5th row서울특별시 강남구 대치동 898번지 4호
ValueCountFrequency (%)
서울특별시 9996
18.0%
강남구 9996
18.0%
역삼동 2530
 
4.5%
논현동 1996
 
3.6%
신사동 1652
 
3.0%
지하1층 1545
 
2.8%
삼성동 1061
 
1.9%
대치동 957
 
1.7%
청담동 874
 
1.6%
0호 857
 
1.5%
Other values (2342) 24196
43.5%
2024-05-11T16:05:12.548757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70372
24.9%
지 14158
 
5.0%
1 12805
 
4.5%
호 10224
 
3.6%
동 10129
 
3.6%
서 10114
 
3.6%
구 10112
 
3.6%
남 10065
 
3.6%
강 10054
 
3.6%
시 10036
 
3.5%
Other values (407) 114975
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160001
56.5%
Space Separator 70372
24.9%
Decimal Number 50858
 
18.0%
Other Punctuation 788
 
0.3%
Dash Punctuation 259
 
0.1%
Uppercase Letter 241
 
0.1%
Open Punctuation 217
 
0.1%
Close Punctuation 212
 
0.1%
Math Symbol 68
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 14158
 
8.8%
호 10224
 
6.4%
동 10129
 
6.3%
서 10114
 
6.3%
구 10112
 
6.3%
남 10065
 
6.3%
강 10054
 
6.3%
시 10036
 
6.3%
번 10014
 
6.3%
울 10004
 
6.3%
Other values (352) 55091
34.4%
Uppercase Letter
ValueCountFrequency (%)
B 75
31.1%
A 26
 
10.8%
S 19
 
7.9%
L 14
 
5.8%
C 13
 
5.4%
F 13
 
5.4%
T 12
 
5.0%
K 11
 
4.6%
W 9
 
3.7%
D 7
 
2.9%
Other values (12) 42
17.4%
Decimal Number
ValueCountFrequency (%)
1 12805
25.2%
2 6451
12.7%
6 5076
 
10.0%
3 4219
 
8.3%
5 4033
 
7.9%
0 3851
 
7.6%
4 3836
 
7.5%
7 3770
 
7.4%
8 3635
 
7.1%
9 3182
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 5
25.0%
e 3
15.0%
l 2
 
10.0%
o 2
 
10.0%
k 2
 
10.0%
s 2
 
10.0%
i 1
 
5.0%
m 1
 
5.0%
n 1
 
5.0%
b 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 649
82.4%
. 131
 
16.6%
/ 5
 
0.6%
& 2
 
0.3%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 65
95.6%
> 3
 
4.4%
Space Separator
ValueCountFrequency (%)
70372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160001
56.5%
Common 122781
43.4%
Latin 262
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 14158
 
8.8%
호 10224
 
6.4%
동 10129
 
6.3%
서 10114
 
6.3%
구 10112
 
6.3%
남 10065
 
6.3%
강 10054
 
6.3%
시 10036
 
6.3%
번 10014
 
6.3%
울 10004
 
6.3%
Other values (352) 55091
34.4%
Latin
ValueCountFrequency (%)
B 75
28.6%
A 26
 
9.9%
S 19
 
7.3%
L 14
 
5.3%
C 13
 
5.0%
F 13
 
5.0%
T 12
 
4.6%
K 11
 
4.2%
W 9
 
3.4%
D 7
 
2.7%
Other values (23) 63
24.0%
Common
ValueCountFrequency (%)
70372
57.3%
1 12805
 
10.4%
2 6451
 
5.3%
6 5076
 
4.1%
3 4219
 
3.4%
5 4033
 
3.3%
0 3851
 
3.1%
4 3836
 
3.1%
7 3770
 
3.1%
8 3635
 
3.0%
Other values (12) 4733
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159998
56.5%
ASCII 123042
43.5%
Compat Jamo 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70372
57.2%
1 12805
 
10.4%
2 6451
 
5.2%
6 5076
 
4.1%
3 4219
 
3.4%
5 4033
 
3.3%
0 3851
 
3.1%
4 3836
 
3.1%
7 3770
 
3.1%
8 3635
 
3.0%
Other values (44) 4994
 
4.1%
Hangul
ValueCountFrequency (%)
지 14158
 
8.8%
호 10224
 
6.4%
동 10129
 
6.3%
서 10114
 
6.3%
구 10112
 
6.3%
남 10065
 
6.3%
강 10054
 
6.3%
시 10036
 
6.3%
번 10014
 
6.3%
울 10004
 
6.3%
Other values (351) 55088
34.4%
Compat Jamo
ValueCountFrequency (%)
ㅣ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct4150
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20091379
Minimum19810828
Maximum20240223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:05:12.747958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19810828
5-th percentile19961215
Q120040610
median20090513
Q320160622
95-th percentile20210101
Maximum20240223
Range429395
Interquartile range (IQR)120012.5

Descriptive statistics

Standard deviation76780.249
Coefficient of variation (CV)0.003821552
Kurtosis-0.78105269
Mean20091379
Median Absolute Deviation (MAD)59795
Skewness-0.12987406
Sum2.0091379 × 1011
Variance5.8952067 × 109
MonotonicityNot monotonic
2024-05-11T16:05:12.925542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113 500
 
5.0%
20070911 161
 
1.6%
20200101 85
 
0.9%
20070912 74
 
0.7%
20161231 71
 
0.7%
20061212 70
 
0.7%
20210101 60
 
0.6%
20190722 47
 
0.5%
20190101 45
 
0.4%
20180701 42
 
0.4%
Other values (4140) 8845
88.4%
ValueCountFrequency (%)
19810828 1
 
< 0.1%
19840306 1
 
< 0.1%
19850318 1
 
< 0.1%
19851207 2
< 0.1%
19860726 3
< 0.1%
19860826 1
 
< 0.1%
19861010 2
< 0.1%
19861216 1
 
< 0.1%
19870330 1
 
< 0.1%
19870630 1
 
< 0.1%
ValueCountFrequency (%)
20240223 1
< 0.1%
20240204 1
< 0.1%
20240201 1
< 0.1%
20240126 1
< 0.1%
20240125 1
< 0.1%
20240115 1
< 0.1%
20240112 1
< 0.1%
20240111 1
< 0.1%
20240109 2
< 0.1%
20240108 2
< 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

2024-05-11T16:05:13.115246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:05:13.214574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct5173
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:05:13.533833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length131
Mean length19.6397
Min length2

Characters and Unicode

Total characters196397
Distinct characters323
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4192 ?
Unique (%)41.9%

Sample

1st row시정명령
2nd row2019 위생교육 미필 과태료 부과 20만원
3rd row시정명령(2014.01.15까지)
4th row영업정지2월(04.5.12-7.11)
5th row영업정지
ValueCountFrequency (%)
영업소폐쇄 828
 
4.7%
영업정지 635
 
3.6%
과태료부과 474
 
2.7%
시정명령 456
 
2.6%
및 454
 
2.6%
과태료 391
 
2.2%
과징금 326
 
1.9%
자진납부 322
 
1.8%
갈음 303
 
1.7%
영업소폐쇄(07.9.11일자 251
 
1.4%
Other values (6246) 13076
74.7%
2024-05-11T16:05:14.030231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16618
 
8.5%
. 15783
 
8.0%
1 15129
 
7.7%
2 11708
 
6.0%
7542
 
3.8%
( 7174
 
3.7%
) 7172
 
3.7%
업 5795
 
3.0%
영 5653
 
2.9%
정 5651
 
2.9%
Other values (313) 98172
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88630
45.1%
Decimal Number 64771
33.0%
Other Punctuation 18267
 
9.3%
Space Separator 7542
 
3.8%
Open Punctuation 7182
 
3.7%
Close Punctuation 7180
 
3.7%
Math Symbol 1987
 
1.0%
Dash Punctuation 784
 
0.4%
Lowercase Letter 19
 
< 0.1%
Modifier Symbol 18
 
< 0.1%
Other values (3) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (263) 43357
48.9%
Lowercase Letter
ValueCountFrequency (%)
k 5
26.3%
l 2
 
10.5%
x 2
 
10.5%
w 2
 
10.5%
d 2
 
10.5%
h 1
 
5.3%
e 1
 
5.3%
j 1
 
5.3%
o 1
 
5.3%
g 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 16618
25.7%
1 15129
23.4%
2 11708
18.1%
5 3964
 
6.1%
3 3635
 
5.6%
9 3144
 
4.9%
7 2864
 
4.4%
4 2709
 
4.2%
6 2523
 
3.9%
8 2477
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 15783
86.4%
, 1757
 
9.6%
: 258
 
1.4%
/ 162
 
0.9%
※ 157
 
0.9%
% 119
 
0.7%
' 15
 
0.1%
* 14
 
0.1%
; 1
 
< 0.1%
＊ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1704
85.8%
→ 249
 
12.5%
+ 15
 
0.8%
× 9
 
0.5%
> 7
 
0.4%
< 2
 
0.1%
= 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 7174
99.9%
[ 8
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 7172
99.9%
] 8
 
0.1%
Other Number
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
7542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 784
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107746
54.9%
Hangul 88630
45.1%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (263) 43357
48.9%
Common
ValueCountFrequency (%)
0 16618
15.4%
. 15783
14.6%
1 15129
14.0%
2 11708
10.9%
7542
7.0%
( 7174
6.7%
) 7172
6.7%
5 3964
 
3.7%
3 3635
 
3.4%
9 3144
 
2.9%
Other values (27) 15877
14.7%
Latin
ValueCountFrequency (%)
k 5
23.8%
l 2
 
9.5%
x 2
 
9.5%
w 2
 
9.5%
d 2
 
9.5%
h 1
 
4.8%
e 1
 
4.8%
j 1
 
4.8%
o 1
 
4.8%
g 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107347
54.7%
Hangul 88625
45.1%
Arrows 249
 
0.1%
Punctuation 157
 
0.1%
None 10
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16618
15.5%
. 15783
14.7%
1 15129
14.1%
2 11708
10.9%
7542
7.0%
( 7174
6.7%
) 7172
6.7%
5 3964
 
3.7%
3 3635
 
3.4%
9 3144
 
2.9%
Other values (34) 15478
14.4%
Hangul
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (259) 43352
48.9%
Arrows
ValueCountFrequency (%)
→ 249
100.0%
Punctuation
ValueCountFrequency (%)
※ 157
100.0%
None
ValueCountFrequency (%)
× 9
90.0%
＊ 1
 
10.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
40.0%
ㆍ 1
20.0%
ㅇ 1
20.0%
ㅈ 1
20.0%

법적근거
Text

Distinct599
Distinct (%)6.0%
Missing39
Missing (%)0.4%
Memory size156.2 KiB
2024-05-11T16:05:14.277636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length10.319747
Min length1

Characters and Unicode

Total characters102795
Distinct characters128
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)3.6%

Sample

1st row법 제71조, 법 제74조 및 법 제75조
2nd row법 제22조제2항제6호
3rd row식품위생법 제71조 및 제75조
4th row식품위생법 58조
5th row대외361
ValueCountFrequency (%)
식품위생법 5782
24.6%
법 5118
21.8%
및 1950
 
8.3%
제75조 1842
 
7.8%
제71조 1590
 
6.8%
제58조 1253
 
5.3%
제74조 946
 
4.0%
제101조제2항제1호 396
 
1.7%
제17조 236
 
1.0%
공중위생관리법 225
 
1.0%
Other values (489) 4141
17.6%
2024-05-11T16:05:14.734079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13606
13.2%
법 11876
11.6%
제 11129
10.8%
조 9679
9.4%
위 6648
 
6.5%
생 6573
 
6.4%
식 6238
 
6.1%
품 6198
 
6.0%
7 5677
 
5.5%
1 5370
 
5.2%
Other values (118) 19801
19.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65087
63.3%
Decimal Number 22653
 
22.0%
Space Separator 13606
 
13.2%
Other Punctuation 1435
 
1.4%
Dash Punctuation 8
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 11876
18.2%
제 11129
17.1%
조 9679
14.9%
위 6648
10.2%
생 6573
10.1%
식 6238
9.6%
품 6198
9.5%
및 1956
 
3.0%
항 1142
 
1.8%
호 890
 
1.4%
Other values (99) 2758
 
4.2%
Decimal Number
ValueCountFrequency (%)
7 5677
25.1%
1 5370
23.7%
5 4382
19.3%
8 2095
 
9.2%
2 1752
 
7.7%
4 1392
 
6.1%
0 838
 
3.7%
3 557
 
2.5%
6 514
 
2.3%
9 76
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 1426
99.4%
? 6
 
0.4%
. 3
 
0.2%
Space Separator
ValueCountFrequency (%)
13606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65087
63.3%
Common 37707
36.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 11876
18.2%
제 11129
17.1%
조 9679
14.9%
위 6648
10.2%
생 6573
10.1%
식 6238
9.6%
품 6198
9.5%
및 1956
 
3.0%
항 1142
 
1.8%
호 890
 
1.4%
Other values (99) 2758
 
4.2%
Common
ValueCountFrequency (%)
13606
36.1%
7 5677
15.1%
1 5370
 
14.2%
5 4382
 
11.6%
8 2095
 
5.6%
2 1752
 
4.6%
, 1426
 
3.8%
4 1392
 
3.7%
0 838
 
2.2%
3 557
 
1.5%
Other values (8) 612
 
1.6%
Latin
ValueCountFrequency (%)
T 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65085
63.3%
ASCII 37708
36.7%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13606
36.1%
7 5677
15.1%
1 5370
 
14.2%
5 4382
 
11.6%
8 2095
 
5.6%
2 1752
 
4.6%
, 1426
 
3.8%
4 1392
 
3.7%
0 838
 
2.2%
3 557
 
1.5%
Other values (9) 613
 
1.6%
Hangul
ValueCountFrequency (%)
법 11876
18.2%
제 11129
17.1%
조 9679
14.9%
위 6648
10.2%
생 6573
10.1%
식 6238
9.6%
품 6198
9.5%
및 1956
 
3.0%
항 1142
 
1.8%
호 890
 
1.4%
Other values (98) 2756
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㅔ 2
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4278
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20087719
Minimum200406
Maximum20300714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:05:14.915486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200406
5-th percentile19969657
Q120040616
median20090514
Q320160622
95-th percentile20210101
Maximum20300714
Range20100308
Interquartile range (IQR)120005.75

Descriptive statistics

Standard deviation279630.48
Coefficient of variation (CV)0.013920469
Kurtosis4309.0113
Mean20087719
Median Absolute Deviation (MAD)59792.5
Skewness-63.055841
Sum2.0087719 × 1011
Variance7.8193203 × 1010
MonotonicityNot monotonic
2024-05-11T16:05:15.097874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050113 500
 
5.0%
20070910 158
 
1.6%
20070911 96
 
1.0%
20200101 79
 
0.8%
20161231 71
 
0.7%
20061212 69
 
0.7%
20190101 68
 
0.7%
20210101 56
 
0.6%
20190722 46
 
0.5%
20180701 42
 
0.4%
Other values (4268) 8815
88.1%
ValueCountFrequency (%)
200406 1
 
< 0.1%
2000126 1
 
< 0.1%
19550522 1
 
< 0.1%
19810828 1
 
< 0.1%
19811118 1
 
< 0.1%
19840306 1
 
< 0.1%
19850318 1
 
< 0.1%
19851207 2
< 0.1%
19860726 1
 
< 0.1%
19860826 3
< 0.1%
ValueCountFrequency (%)
20300714 1
< 0.1%
20240223 1
< 0.1%
20240204 1
< 0.1%
20240201 1
< 0.1%
20240126 1
< 0.1%
20240125 1
< 0.1%
20240115 1
< 0.1%
20240112 1
< 0.1%
20240111 1
< 0.1%
20240109 1
< 0.1%

위반내용
Text

Distinct4013
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:05:15.452929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length130
Mean length14.8824
Min length1

Characters and Unicode

Total characters148824
Distinct characters693
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3008 ?
Unique (%)30.1%

Sample

1st row영업장외 영업
2nd row2019 위생교육 미필
3rd row홀에서 춤을 추는 유흥주점 영업행위
4th row청소년주류제공(2차조정권고)
5th row서울행정법원조정권고수용변경처분
ValueCountFrequency (%)
및 867
 
3.2%
무단폐업 849
 
3.1%
미필 583
 
2.2%
시설물멸실 533
 
2.0%
위생교육 525
 
1.9%
설치 440
 
1.6%
영업장 337
 
1.2%
유흥접객원고용 315
 
1.2%
멸실 308
 
1.1%
건강진단 283
 
1.0%
Other values (4920) 22057
81.4%
2024-05-11T16:05:16.004901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17426
 
11.7%
업 5610
 
3.8%
미 3375
 
2.3%
영 3314
 
2.2%
설 3206
 
2.2%
단 2492
 
1.7%
시 2487
 
1.7%
( 2438
 
1.6%
) 2436
 
1.6%
기 2341
 
1.6%
Other values (683) 103699
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114949
77.2%
Space Separator 17426
 
11.7%
Decimal Number 8135
 
5.5%
Other Punctuation 2924
 
2.0%
Open Punctuation 2443
 
1.6%
Close Punctuation 2440
 
1.6%
Dash Punctuation 214
 
0.1%
Uppercase Letter 111
 
0.1%
Lowercase Letter 84
 
0.1%
Math Symbol 48
 
< 0.1%
Other values (5) 50
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5610
 
4.9%
미 3375
 
2.9%
영 3314
 
2.9%
설 3206
 
2.8%
단 2492
 
2.2%
시 2487
 
2.2%
기 2341
 
2.0%
고 2215
 
1.9%
장 2090
 
1.8%
위 1997
 
1.7%
Other values (601) 85822
74.7%
Uppercase Letter
ValueCountFrequency (%)
S 19
17.1%
R 19
17.1%
N 13
11.7%
C 9
8.1%
I 9
8.1%
D 8
7.2%
E 6
 
5.4%
T 4
 
3.6%
A 4
 
3.6%
G 4
 
3.6%
Other values (9) 16
14.4%
Lowercase Letter
ValueCountFrequency (%)
g 28
33.3%
m 17
20.2%
o 10
 
11.9%
b 6
 
7.1%
l 4
 
4.8%
e 3
 
3.6%
d 3
 
3.6%
c 3
 
3.6%
h 2
 
2.4%
r 1
 
1.2%
Other values (7) 7
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1223
41.8%
. 802
27.4%
/ 748
25.6%
: 80
 
2.7%
? 37
 
1.3%
' 14
 
0.5%
* 6
 
0.2%
% 5
 
0.2%
; 5
 
0.2%
？ 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 2001
24.6%
1 1934
23.8%
0 1425
17.5%
3 581
 
7.1%
9 485
 
6.0%
6 477
 
5.9%
4 352
 
4.3%
8 322
 
4.0%
5 289
 
3.6%
7 269
 
3.3%
Math Symbol
ValueCountFrequency (%)
> 15
31.2%
+ 12
25.0%
~ 8
16.7%
= 7
14.6%
< 5
 
10.4%
→ 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 2438
99.8%
「 2
 
0.1%
[ 2
 
0.1%
【 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2436
99.8%
」 2
 
0.1%
] 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 15
83.3%
㎖ 2
 
11.1%
□ 1
 
5.6%
Final Punctuation
ValueCountFrequency (%)
” 6
66.7%
’ 3
33.3%
Other Number
ValueCountFrequency (%)
① 5
83.3%
② 1
 
16.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
57.1%
“ 3
42.9%
Space Separator
ValueCountFrequency (%)
17426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114946
77.2%
Common 33680
 
22.6%
Latin 195
 
0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5610
 
4.9%
미 3375
 
2.9%
영 3314
 
2.9%
설 3206
 
2.8%
단 2492
 
2.2%
시 2487
 
2.2%
기 2341
 
2.0%
고 2215
 
1.9%
장 2090
 
1.8%
위 1997
 
1.7%
Other values (598) 85819
74.7%
Common
ValueCountFrequency (%)
17426
51.7%
( 2438
 
7.2%
) 2436
 
7.2%
2 2001
 
5.9%
1 1934
 
5.7%
0 1425
 
4.2%
, 1223
 
3.6%
. 802
 
2.4%
/ 748
 
2.2%
3 581
 
1.7%
Other values (36) 2666
 
7.9%
Latin
ValueCountFrequency (%)
g 28
14.4%
S 19
 
9.7%
R 19
 
9.7%
m 17
 
8.7%
N 13
 
6.7%
o 10
 
5.1%
C 9
 
4.6%
I 9
 
4.6%
D 8
 
4.1%
b 6
 
3.1%
Other values (26) 57
29.2%
Han
ValueCountFrequency (%)
梁 1
33.3%
卉 1
33.3%
萱 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114940
77.2%
ASCII 33825
 
22.7%
CJK Compat 17
 
< 0.1%
Punctuation 16
 
< 0.1%
None 9
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17426
51.5%
( 2438
 
7.2%
) 2436
 
7.2%
2 2001
 
5.9%
1 1934
 
5.7%
0 1425
 
4.2%
, 1223
 
3.6%
. 802
 
2.4%
/ 748
 
2.2%
3 581
 
1.7%
Other values (57) 2811
 
8.3%
Hangul
ValueCountFrequency (%)
업 5610
 
4.9%
미 3375
 
2.9%
영 3314
 
2.9%
설 3206
 
2.8%
단 2492
 
2.2%
시 2487
 
2.2%
기 2341
 
2.0%
고 2215
 
1.9%
장 2090
 
1.8%
위 1997
 
1.7%
Other values (594) 85813
74.7%
CJK Compat
ValueCountFrequency (%)
㎡ 15
88.2%
㎖ 2
 
11.8%
Punctuation
ValueCountFrequency (%)
” 6
37.5%
‘ 4
25.0%
“ 3
18.8%
’ 3
18.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 5
83.3%
② 1
 
16.7%
None
ValueCountFrequency (%)
？ 3
33.3%
「 2
22.2%
」 2
22.2%
【 1
 
11.1%
。 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㅁ 2
33.3%
ㆍ 2
33.3%
ㅈ 1
16.7%
ㄱ 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
梁 1
100.0%
CJK
ValueCountFrequency (%)
卉 1
50.0%
萱 1
50.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

처분내용
Text

Distinct5173
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T16:05:16.340661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length131
Mean length19.6397
Min length2

Characters and Unicode

Total characters196397
Distinct characters323
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4192 ?
Unique (%)41.9%

Sample

1st row시정명령
2nd row2019 위생교육 미필 과태료 부과 20만원
3rd row시정명령(2014.01.15까지)
4th row영업정지2월(04.5.12-7.11)
5th row영업정지
ValueCountFrequency (%)
영업소폐쇄 828
 
4.7%
영업정지 635
 
3.6%
과태료부과 474
 
2.7%
시정명령 456
 
2.6%
및 454
 
2.6%
과태료 391
 
2.2%
과징금 326
 
1.9%
자진납부 322
 
1.8%
갈음 303
 
1.7%
영업소폐쇄(07.9.11일자 251
 
1.4%
Other values (6246) 13076
74.7%
2024-05-11T16:05:16.912652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16618
 
8.5%
. 15783
 
8.0%
1 15129
 
7.7%
2 11708
 
6.0%
7542
 
3.8%
( 7174
 
3.7%
) 7172
 
3.7%
업 5795
 
3.0%
영 5653
 
2.9%
정 5651
 
2.9%
Other values (313) 98172
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88630
45.1%
Decimal Number 64771
33.0%
Other Punctuation 18267
 
9.3%
Space Separator 7542
 
3.8%
Open Punctuation 7182
 
3.7%
Close Punctuation 7180
 
3.7%
Math Symbol 1987
 
1.0%
Dash Punctuation 784
 
0.4%
Lowercase Letter 19
 
< 0.1%
Modifier Symbol 18
 
< 0.1%
Other values (3) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (263) 43357
48.9%
Lowercase Letter
ValueCountFrequency (%)
k 5
26.3%
l 2
 
10.5%
x 2
 
10.5%
w 2
 
10.5%
d 2
 
10.5%
h 1
 
5.3%
e 1
 
5.3%
j 1
 
5.3%
o 1
 
5.3%
g 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 16618
25.7%
1 15129
23.4%
2 11708
18.1%
5 3964
 
6.1%
3 3635
 
5.6%
9 3144
 
4.9%
7 2864
 
4.4%
4 2709
 
4.2%
6 2523
 
3.9%
8 2477
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 15783
86.4%
, 1757
 
9.6%
: 258
 
1.4%
/ 162
 
0.9%
※ 157
 
0.9%
% 119
 
0.7%
' 15
 
0.1%
* 14
 
0.1%
; 1
 
< 0.1%
＊ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 1704
85.8%
→ 249
 
12.5%
+ 15
 
0.8%
× 9
 
0.5%
> 7
 
0.4%
< 2
 
0.1%
= 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 7174
99.9%
[ 8
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 7172
99.9%
] 8
 
0.1%
Other Number
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
7542
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 784
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107746
54.9%
Hangul 88630
45.1%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (263) 43357
48.9%
Common
ValueCountFrequency (%)
0 16618
15.4%
. 15783
14.6%
1 15129
14.0%
2 11708
10.9%
7542
7.0%
( 7174
6.7%
) 7172
6.7%
5 3964
 
3.7%
3 3635
 
3.4%
9 3144
 
2.9%
Other values (27) 15877
14.7%
Latin
ValueCountFrequency (%)
k 5
23.8%
l 2
 
9.5%
x 2
 
9.5%
w 2
 
9.5%
d 2
 
9.5%
h 1
 
4.8%
e 1
 
4.8%
j 1
 
4.8%
o 1
 
4.8%
g 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107347
54.7%
Hangul 88625
45.1%
Arrows 249
 
0.1%
Punctuation 157
 
0.1%
None 10
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16618
15.5%
. 15783
14.7%
1 15129
14.1%
2 11708
10.9%
7542
7.0%
( 7174
6.7%
) 7172
6.7%
5 3964
 
3.7%
3 3635
 
3.4%
9 3144
 
2.9%
Other values (34) 15478
14.4%
Hangul
ValueCountFrequency (%)
업 5795
 
6.5%
영 5653
 
6.4%
정 5651
 
6.4%
과 5589
 
6.3%
지 5383
 
6.1%
원 4097
 
4.6%
만 3667
 
4.1%
시 3533
 
4.0%
명 2960
 
3.3%
령 2945
 
3.3%
Other values (259) 43352
48.9%
Arrows
ValueCountFrequency (%)
→ 249
100.0%
Punctuation
ValueCountFrequency (%)
※ 157
100.0%
None
ValueCountFrequency (%)
× 9
90.0%
＊ 1
 
10.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
50.0%
② 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
40.0%
ㆍ 1
20.0%
ㅇ 1
20.0%
ㅈ 1
20.0%

처분기간
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)2.0%
Missing8532
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean13.098093
Minimum0
Maximum30
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:05:17.075017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q18
median15
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.5738561
Coefficient of variation (CV)0.34920017
Kurtosis1.0268626
Mean13.098093
Median Absolute Deviation (MAD)0
Skewness0.044152298
Sum19228
Variance20.92016
MonotonicityNot monotonic
2024-05-11T16:05:17.227280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
15 907
 
9.1%
7 297
 
3.0%
10 56
 
0.6%
8 27
 
0.3%
5 18
 
0.2%
20 18
 
0.2%
22 16
 
0.2%
18 12
 
0.1%
3 12
 
0.1%
29 12
 
0.1%
Other values (20) 93
 
0.9%
(Missing) 8532
85.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 5
 
0.1%
2 2
 
< 0.1%
3 12
 
0.1%
4 12
 
0.1%
5 18
 
0.2%
6 7
 
0.1%
7 297
3.0%
8 27
 
0.3%
10 56
 
0.6%
ValueCountFrequency (%)
30 2
 
< 0.1%
29 12
0.1%
28 4
 
< 0.1%
27 3
 
< 0.1%
26 1
 
< 0.1%
25 3
 
< 0.1%
24 3
 
< 0.1%
23 9
0.1%
22 16
0.2%
21 4
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct2512
Distinct (%)53.1%
Missing5267
Missing (%)52.7%
Infinite0
Infinite (%)0.0%
Mean259.78961
Minimum0
Maximum54085
Zeros26
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T16:05:17.414043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.468
Q166
median132.23
Q3250
95-th percentile846.82
Maximum54085
Range54085
Interquartile range (IQR)184

Descriptive statistics

Standard deviation938.14971
Coefficient of variation (CV)3.6111903
Kurtosis2323.6989
Mean259.78961
Median Absolute Deviation (MAD)79.99
Skewness42.3197
Sum1229584.2
Variance880124.89
MonotonicityNot monotonic
2024-05-11T16:05:17.621459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.23 32
 
0.3%
99.0 29
 
0.3%
0.0 26
 
0.3%
26.44 26
 
0.3%
198.34 25
 
0.2%
59.5 25
 
0.2%
82.64 22
 
0.2%
29.75 22
 
0.2%
231.4 21
 
0.2%
66.11 20
 
0.2%
Other values (2502) 4485
44.9%
(Missing) 5267
52.7%
ValueCountFrequency (%)
0.0 26
0.3%
0.66 1
 
< 0.1%
1.14 1
 
< 0.1%
1.47 1
 
< 0.1%
1.65 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 1
 
< 0.1%
4.0 1
 
< 0.1%
4.76 1
 
< 0.1%
4.95 1
 
< 0.1%
ValueCountFrequency (%)
54085.0 1
 
< 0.1%
17066.77 1
 
< 0.1%
14093.0 1
 
< 0.1%
6611.0 1
 
< 0.1%
5817.0 3
< 0.1%
4944.75 1
 
< 0.1%
4029.14 4
< 0.1%
3812.16 3
< 0.1%
3800.0 1
 
< 0.1%
3590.51 1
 
< 0.1%

Interactions

2024-05-11T16:05:06.151723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:03.569304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.184329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.848185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.474580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:06.289040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:03.663980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.321751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.978109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.597189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:06.452377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:03.762892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.445007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.115108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.745148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:06.588625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:03.900355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.606011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.255087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.903666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:06.683868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.035485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:04.738008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:05.365538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:05:06.033574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T16:05:17.748967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.0000.0000.0000.000NaNNaN
업종명0.0001.0000.9960.4010.0000.2510.093
업태명0.0000.9961.0000.5360.0000.3730.342
지도점검일자0.0000.4010.5361.0000.0000.2250.000
위반일자0.0000.0000.0000.0001.000NaNNaN
처분기간NaN0.2510.3730.225NaN1.000NaN
영업장면적(㎡)NaN0.0930.3420.000NaNNaN1.000
2024-05-11T16:05:17.922192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.998-0.043-0.0100.000
지도점검일자0.9991.0000.999-0.047-0.0150.151
위반일자0.9980.9991.000-0.048-0.0160.000
처분기간-0.043-0.047-0.0481.000-0.0450.137
영업장면적(㎡)-0.010-0.015-0.016-0.0451.0000.044
업종명0.0000.1510.0000.1370.0441.000

Missing values

2024-05-11T16:05:06.855943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T16:05:07.119298image/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.
2024-05-11T16:05:07.379537image/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(㎡)
521832200002016102419940106405일반음식점한식우신닭발서울특별시 강남구 개포로82길 7, (개포동)서울특별시 강남구 개포동 186번지 12호20160905처분확정시정명령법 제71조, 법 제74조 및 법 제75조20160905영업장외 영업시정명령<NA>28.6
27323220000202010282018-0012피부미용업피부미용업워너비 뷰티서울특별시 강남구 삼성로100길 25, 지상2층 (삼성동)서울특별시 강남구 삼성동 153번지 59호20200921처분확정2019 위생교육 미필 과태료 부과 20만원법 제22조제2항제6호202009212019 위생교육 미필2019 위생교육 미필 과태료 부과 20만원<NA>54.27
1049832200002014010920050105471일반음식점경양식플로우서울특별시 강남구 논현로 555, (역삼동,지하1층)서울특별시 강남구 역삼동 607번지 12호 지하1층20131122처분확정시정명령(2014.01.15까지)식품위생법 제71조 및 제75조20131122홀에서 춤을 추는 유흥주점 영업행위시정명령(2014.01.15까지)<NA>198.34
2694932200002004042920010107425일반음식점한식명가숯불바베큐<NA>서울특별시 강남구 일원동 682번지 7호 1층3,4호20040308처분확정영업정지2월(04.5.12-7.11)식품위생법 58조20040812청소년주류제공(2차조정권고)영업정지2월(04.5.12-7.11)<NA>59.4
691732200002001081419980106815일반음식점정종/대포집/소주방몰리네<NA>서울특별시 강남구 대치동 898번지 4호20010714처분확정영업정지대외36120010914서울행정법원조정권고수용변경처분영업정지<NA><NA>
64932200002002051306800420300008목욕장업한증막업미성쑥탕<NA>서울특별시 강남구 압구정동 336번지20011226처분확정경고법 제20011226소독미실시경고<NA>147.42
1011532200002006122920040106425일반음식점한식함지박<NA>서울특별시 강남구 대치동 890번지 49호 지하1층114호20061212처분확정영업소폐쇄(직권폐업-12.29일자)식품위생법 제58조20061212시설물멸실영업소폐쇄(직권폐업-12.29일자)<NA>24.79
2609732200002014061320000106105일반음식점한식대부서울특별시 강남구 봉은사로72길 4, (삼성동)서울특별시 강남구 삼성동 115번지 29호20140205처분확정영업정지1개월(2014.7.18~8.16),시정명령(2014.7.17까지)식품위생법 제71조 및 제75조20140205업종혼돈표기(대부노래방)영업정지1개월(2014.7.18~8.16),시정명령(2014.7.17까지)<NA><NA>
1981032200002015081020110105478식품등 수입판매업식품등 수입판매업(주)월자인서울특별시 강남구 논현로10길 4, 지상2층 (개포동, 청호빌딩)서울특별시 강남구 개포동 1192번지 1호20150720처분확정영업정지7일(2015.8.12~8.18)법 제71조, 법 제72조 및 법 제75조20150720식품을 건강기능식품으로 오인 받을 수 있는 내용으로 광고영업정지7일(2015.8.12~8.18)7148.0
1893532200002006071419990105279식품제조가공업식품제조가공업한강식품<NA>서울특별시 강남구 개포동 1187번지 10호20060616처분확정영업소폐쇄법 제21조, 제22조, 제58조20060616시설물멸실영업소폐쇄<NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
2460232200002007011019970106208일반음식점한식들꽃향기시골밥상<NA>서울특별시 강남구 논현동 242번지 15호20061129처분확정과태료 20만원 부과(2007.01.30일까지), 시정명령(즉시)식품위생법 제55조, 제78조20061129건강진단 미필(영업자 미필)과태료 20만원 부과(2007.01.30일까지), 시정명령(즉시)<NA><NA>
1213232200002009072720080106973일반음식점경양식엠<NA>서울특별시 강남구 역삼동 705번지 5호 지하1층20090228처분확정영업정지 6월 (09.08.08~10.02.07까지)식품위생법20090228손님노래부르도록 허용영업정지 6월 (09.08.08~10.02.07까지)<NA><NA>
1363322000020021025NaN이용업일반이용업보스맨<NA>서울특별시 강남구 신사동 585번지 1호 (지하2층)20020731처분확정영업소폐쇄(2002.11.8~2003.5.7)공중위생관리법20020731영업정지중영업영업소폐쇄(2002.11.8~2003.5.7)<NA>70.0
709332200002007083019980106497일반음식점한식토종한우<NA>서울특별시 강남구 도곡동 946번지 12호 .1320070712처분확정과태료40만원 부과식품위생법 제78조20070712건강진단 미필(종업원 총 14명 중 1명)과태료40만원 부과<NA>714.86
1341332200002014120920130107596일반음식점경양식홀릭서울특별시 강남구 테헤란로53길 21, 1층 101호 (역삼동)서울특별시 강남구 역삼동 697번지 9호 1층-10120141003처분확정시정명령(즉시)식품위생법 제721조, 제74조 및 제75조20141003영업장외 영업시정명령(즉시)<NA><NA>
593932200002000020719950106725일반음식점정종/대포집/소주방고구려<NA>서울특별시 강남구 역삼동 609번지 1호20000107처분확정영업정지2월갈음과징금대체840만원식품위생법20000207유흥형태영업영업정지2월갈음과징금대체840만원<NA><NA>
936732200002019073020020107670일반음식점한식이자카야 한잔 삼성본점서울특별시 강남구 봉은사로84길 34, 지상1, 2층 (삼성동)서울특별시 강남구 삼성동 149번지 31호20190703처분확정시정명령(2019.7.31.까지)법 제71조, 법 제74조 및 법 제75조20190703영업장 면적변경후 미신고(무단확장)시정명령(2019.7.31.까지)<NA>99.5
1647532200001998060819940107544단란주점단란주점산마루<NA>서울특별시 강남구 논현동 115번지 12호19980508처분확정시정명령식품위생법19980608허가증미게시시정명령<NA><NA>
1335132200002017032720130107096일반음식점통닭(치킨)비비큐치킨청담점서울특별시 강남구 도산대로72길 28, (청담동, 지하1층)서울특별시 강남구 청담동 13번지 17호 지하1층20170227처분확정직권말소(2017.4.14)법 제71조, 법 제74조 및 법 제75조20170227폐업신고 없이 관할세무서장에게 사업자등록 말소직권말소(2017.4.14)<NA><NA>
2384332200001994082919930106047일반음식점일식이즈미<NA>서울특별시 강남구 신사동 632번지 0호19940729처분확정시정지시식품위생법19940729보건증미소지(1/11), 조리사면허증사본게첨시정지시<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
67322000020120928일반음식점한식지서울특별시 강남구 강남대로 616, (신사동,지상16층)서울특별시 강남구 신사동 501번지 지상16층20120520처분확정영업정지3개월15일갈음(105일)과징금 123,900,000원부과 과태료200만원(2012.08.16, 자납20% 감경)식품위생법20120520영상반주기설치영업정지3개월15일갈음(105일)과징금 123,900,000원부과 과태료200만원(2012.08.16, 자납20% 감경)1534.724
84322000020180123목욕장업목욕장업 기타영동스파서울특별시 강남구 강남대로128길 10, 지상4,5층 (논현동)서울특별시 강남구 논현동 144번지 지상4,5층20170608처분확정영업정지법 제11조제1항제8호20170608성매매 알선영업정지<NA>597.764
29322000020060626일반음식점경양식몬드리안<NA>서울특별시 강남구 삼성동 130번지 8호 지상4층20060412처분확정영업정지15일갈음과징금1,800,000원/과태료20만원/시정명령식품위생법 제58조20060412건강진단미필(영업주),유통기한경과제품보관영업정지15일갈음과징금1,800,000원/과태료20만원/시정명령15160.03
56322000020100802유통전문판매업유통전문판매업장경케어그룹(주)<NA>서울특별시 강남구 삼성동 156번지 13호 우경빌딩3층20100630처분확정영업소폐쇄(10.08.02)식품위생법20100630변경신고를 하지 아니하고 영업시설 전부 철거영업소폐쇄(10.08.02)<NA><NA>3
85322000020180123목욕장업목욕장업 기타영동스파서울특별시 강남구 강남대로128길 10, 지상4,5층 (논현동)서울특별시 강남구 논현동 144번지 지상4,5층20170608처분확정영업정지법 제11조제1항제8호20200608.영업정지<NA>597.763
97322000020190911건강기능식품일반판매업영업장판매린에스테틱서울특별시 강남구 압구정로 467, 6층 (청담동)서울특별시 강남구 청담동 119번지 1호20190101처분확정과태료20만원부과법 제47조제1항제6호201901012018년 위생교육 미필과태료20만원부과<NA><NA>3
99322000020191025피부미용업피부미용업수아미서울특별시 강남구 테헤란로 124, 지하1층 101호 (역삼동)서울특별시 강남구 역삼동 823번지 0호 지하1층-10120191002처분확정과징금부과564천원 부과(영업정지2개월 갈음)과태료500천원(400천원 사전납부완료)법 제4조제4항 및 제7항20191002의료행위(반영구 화장 문신)과징금부과564천원 부과(영업정지2개월 갈음)과태료500천원(400천원 사전납부완료)<NA>80.433
0322000019941231일반음식점한식삼원가든<NA>서울특별시 강남구 신사동 623번지 4호19941130처분확정시정지시식품위생법19941130종업원명부미기재시정지시<NA>2594.152
1322000019970828단란주점단란주점플라워<NA>서울특별시 강남구 청담동 1번지 16호19970728처분확정영업정지15일(97.9.12~9.26)식품위생법19970728영업정지15일(97.9.12~9.26)영업정지15일(97.9.12~9.26)15141.962
2322000019971030일반음식점한식영양센타대치점<NA>서울특별시 강남구 대치동 991번지 2호19970930처분확정과태료70만원부과및영업정지7일갈음과징금126만원처분식품위생법19971030건강진단미필(4/11)및무단확장과태료70만원부과및영업정지7일갈음과징금126만원처분7<NA>2