Overview

Dataset statistics

Number of variables18
Number of observations5828
Missing cells10560
Missing cells (%)10.1%
Duplicate rows256
Duplicate rows (%)4.4%
Total size in memory859.5 KiB
Average record size in memory151.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-10527/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 256 (4.4%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 처분일자 and 4 other fieldsHigh correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 교부번호 and 3 other fieldsHigh correlation
교부번호 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
영업장면적(㎡) is highly overall correlated with 운영형태High correlation
업종명 is highly imbalanced (53.0%)Imbalance
운영형태 is highly imbalanced (92.1%)Imbalance
소재지도로명 has 3168 (54.4%) missing valuesMissing
처분기간 has 5103 (87.6%) missing valuesMissing
영업장면적(㎡) has 2275 (39.0%) missing valuesMissing
처분일자 is highly skewed (γ1 = -42.55873328)Skewed
처분기간 has 67 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 07:21:27.082708
Analysis finished2024-05-11 07:21:49.752193
Duration22.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
3110000
5828 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 5828
100.0%

Length

2024-05-11T07:21:50.022720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:21:50.333894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 5828
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct1976
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096746
Minimum2003092
Maximum20240409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:21:50.651989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003092
5-th percentile20020201
Q120041103
median20110420
Q320160317
95-th percentile20201117
Maximum20240409
Range18237317
Interquartile range (IQR)119214.25

Descriptive statistics

Standard deviation415398.95
Coefficient of variation (CV)0.020669961
Kurtosis1852.0934
Mean20096746
Median Absolute Deviation (MAD)50605
Skewness-42.558733
Sum1.1712383 × 1011
Variance1.7255629 × 1011
MonotonicityNot monotonic
2024-05-11T07:21:51.281306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021226 184
 
3.2%
20030118 167
 
2.9%
20080722 41
 
0.7%
20090120 36
 
0.6%
20040419 33
 
0.6%
20160429 32
 
0.5%
20021118 32
 
0.5%
20210507 28
 
0.5%
20160115 27
 
0.5%
20160211 26
 
0.4%
Other values (1966) 5222
89.6%
ValueCountFrequency (%)
2003092 2
< 0.1%
2003124 1
< 0.1%
19960331 1
< 0.1%
19961023 1
< 0.1%
19970404 1
< 0.1%
19981007 1
< 0.1%
20000106 1
< 0.1%
20000308 1
< 0.1%
20000315 1
< 0.1%
20000810 1
< 0.1%
ValueCountFrequency (%)
20240409 1
 
< 0.1%
20240326 1
 
< 0.1%
20240314 3
0.1%
20240311 2
< 0.1%
20240309 1
 
< 0.1%
20240307 1
 
< 0.1%
20240221 1
 
< 0.1%
20240219 1
 
< 0.1%
20240215 1
 
< 0.1%
20240214 1
 
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct3044
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0010653 × 1010
Minimum1.8990063 × 1010
Maximum2.0230085 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:21:51.828242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8990063 × 1010
5-th percentile1.9840063 × 1010
Q11.9960063 × 1010
median2.0010064 × 1010
Q32.0080063 × 1010
95-th percentile2.0160063 × 1010
Maximum2.0230085 × 1010
Range1.240022 × 109
Interquartile range (IQR)1.200003 × 108

Descriptive statistics

Standard deviation97344870
Coefficient of variation (CV)0.0048646524
Kurtosis2.4889015
Mean2.0010653 × 1010
Median Absolute Deviation (MAD)60000152
Skewness-0.74097882
Sum1.1662208 × 1014
Variance9.4760237 × 1015
MonotonicityNot monotonic
2024-05-11T07:21:52.580724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19730063007 60
 
1.0%
20090063422 52
 
0.9%
20090063849 36
 
0.6%
19900063247 36
 
0.6%
19880063133 32
 
0.5%
20000063009 22
 
0.4%
20060063539 21
 
0.4%
20160063064 21
 
0.4%
20070063295 20
 
0.3%
19980063577 20
 
0.3%
Other values (3034) 5508
94.5%
ValueCountFrequency (%)
18990063003 1
 
< 0.1%
19640063003 1
 
< 0.1%
19670063001 2
 
< 0.1%
19680063001 2
 
< 0.1%
19700063003 1
 
< 0.1%
19710063001 1
 
< 0.1%
19720063002 10
0.2%
19720063014 3
 
0.1%
19730063004 4
 
0.1%
19730063005 8
0.1%
ValueCountFrequency (%)
20230084978 1
 
< 0.1%
20230084922 1
 
< 0.1%
20230084865 1
 
< 0.1%
20230084502 1
 
< 0.1%
20230084498 1
 
< 0.1%
20230084135 1
 
< 0.1%
20220077188 4
0.1%
20220076557 1
 
< 0.1%
20220076439 1
 
< 0.1%
20220076061 1
 
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
일반음식점
3835 
단란주점
452 
유흥주점영업
 
346
식품제조가공업
 
285
즉석판매제조가공업
 
276
Other values (15)
634 

Length

Max length13
Median length5
Mean length5.4555594
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3835
65.8%
단란주점 452
 
7.8%
유흥주점영업 346
 
5.9%
식품제조가공업 285
 
4.9%
즉석판매제조가공업 276
 
4.7%
휴게음식점 169
 
2.9%
식품등 수입판매업 94
 
1.6%
집단급식소 93
 
1.6%
건강기능식품일반판매업 69
 
1.2%
제과점영업 49
 
0.8%
Other values (10) 160
 
2.7%

Length

2024-05-11T07:21:53.047069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 3835
64.8%
단란주점 452
 
7.6%
유흥주점영업 346
 
5.8%
식품제조가공업 285
 
4.8%
즉석판매제조가공업 276
 
4.7%
휴게음식점 169
 
2.9%
식품등 94
 
1.6%
수입판매업 94
 
1.6%
집단급식소 93
 
1.6%
건강기능식품일반판매업 69
 
1.2%
Other values (11) 209
 
3.5%

업태명
Text

Distinct59
Distinct (%)1.0%
Missing9
Missing (%)0.2%
Memory size45.7 KiB
2024-05-11T07:21:53.616311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.063413
Min length2

Characters and Unicode

Total characters23645
Distinct characters132
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row호프/통닭
2nd row한식
3rd row일식
4th row일식
5th row한식
ValueCountFrequency (%)
한식 1464
24.6%
호프/통닭 808
13.6%
단란주점 452
 
7.6%
분식 382
 
6.4%
식품제조가공업 285
 
4.8%
기타 281
 
4.7%
즉석판매제조가공업 276
 
4.6%
룸살롱 229
 
3.9%
정종/대포집/소주방 192
 
3.2%
중국식 182
 
3.1%
Other values (48) 1396
23.5%
2024-05-11T07:21:54.718718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 2911
 
12.3%
한 1464
 
6.2%
/ 1192
 
5.0%
통 968
 
4.1%
업 925
 
3.9%
닭 918
 
3.9%
호 809
 
3.4%
프 808
 
3.4%
주 647
 
2.7%
제 611
 
2.6%
Other values (122) 12392
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22036
93.2%
Other Punctuation 1195
 
5.1%
Close Punctuation 143
 
0.6%
Open Punctuation 143
 
0.6%
Space Separator 128
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 2911
 
13.2%
한 1464
 
6.6%
통 968
 
4.4%
업 925
 
4.2%
닭 918
 
4.2%
호 809
 
3.7%
프 808
 
3.7%
주 647
 
2.9%
제 611
 
2.8%
조 595
 
2.7%
Other values (116) 11380
51.6%
Other Punctuation
ValueCountFrequency (%)
/ 1192
99.7%
, 2
 
0.2%
. 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Space Separator
ValueCountFrequency (%)
128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22036
93.2%
Common 1609
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 2911
 
13.2%
한 1464
 
6.6%
통 968
 
4.4%
업 925
 
4.2%
닭 918
 
4.2%
호 809
 
3.7%
프 808
 
3.7%
주 647
 
2.9%
제 611
 
2.8%
조 595
 
2.7%
Other values (116) 11380
51.6%
Common
ValueCountFrequency (%)
/ 1192
74.1%
) 143
 
8.9%
( 143
 
8.9%
128
 
8.0%
, 2
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22036
93.2%
ASCII 1609
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 2911
 
13.2%
한 1464
 
6.6%
통 968
 
4.4%
업 925
 
4.2%
닭 918
 
4.2%
호 809
 
3.7%
프 808
 
3.7%
주 647
 
2.9%
제 611
 
2.8%
조 595
 
2.7%
Other values (116) 11380
51.6%
ASCII
ValueCountFrequency (%)
/ 1192
74.1%
) 143
 
8.9%
( 143
 
8.9%
128
 
8.0%
, 2
 
0.1%
. 1
 
0.1%

업소명
Text

Distinct3089
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-05-11T07:21:55.746188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length5.1868566
Min length1

Characters and Unicode

Total characters30229
Distinct characters837
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2027 ?
Unique (%)34.8%

Sample

1st row치킨 좋아
2nd row진짜대패집 응암점
3rd row구석집 본점
4th row구석집 본점
5th row구파발 장작구이
ValueCountFrequency (%)
무궁화식품 60
 
0.9%
전국토탈유통(주 52
 
0.8%
세시봉 36
 
0.5%
참나무소금구이 36
 
0.5%
토방 33
 
0.5%
주식회사 32
 
0.5%
호프 23
 
0.3%
수예당제과 22
 
0.3%
김밥천국 22
 
0.3%
풍년집 22
 
0.3%
Other values (3363) 6510
95.1%
2024-05-11T07:21:56.960479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1025
 
3.4%
이 656
 
2.2%
리 471
 
1.6%
식 471
 
1.6%
점 410
 
1.4%
스 401
 
1.3%
주 398
 
1.3%
마 372
 
1.2%
) 339
 
1.1%
( 332
 
1.1%
Other values (827) 25354
83.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27430
90.7%
Space Separator 1025
 
3.4%
Uppercase Letter 515
 
1.7%
Close Punctuation 339
 
1.1%
Open Punctuation 332
 
1.1%
Decimal Number 281
 
0.9%
Lowercase Letter 227
 
0.8%
Other Punctuation 76
 
0.3%
Dash Punctuation 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 656
 
2.4%
리 471
 
1.7%
식 471
 
1.7%
점 410
 
1.5%
스 401
 
1.5%
주 398
 
1.5%
마 372
 
1.4%
비 294
 
1.1%
래 283
 
1.0%
원 264
 
1.0%
Other values (755) 23410
85.3%
Uppercase Letter
ValueCountFrequency (%)
B 61
 
11.8%
O 59
 
11.5%
A 34
 
6.6%
L 34
 
6.6%
S 32
 
6.2%
C 32
 
6.2%
M 32
 
6.2%
F 26
 
5.0%
D 24
 
4.7%
K 23
 
4.5%
Other values (16) 158
30.7%
Lowercase Letter
ValueCountFrequency (%)
e 39
17.2%
a 27
11.9%
m 18
 
7.9%
o 18
 
7.9%
n 15
 
6.6%
l 14
 
6.2%
r 14
 
6.2%
p 12
 
5.3%
u 12
 
5.3%
i 10
 
4.4%
Other values (11) 48
21.1%
Decimal Number
ValueCountFrequency (%)
0 75
26.7%
2 42
14.9%
1 42
14.9%
7 38
13.5%
8 26
 
9.3%
9 24
 
8.5%
5 14
 
5.0%
4 8
 
2.8%
3 8
 
2.8%
6 4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 28
36.8%
& 22
28.9%
; 8
 
10.5%
! 4
 
5.3%
? 4
 
5.3%
: 3
 
3.9%
, 3
 
3.9%
' 2
 
2.6%
＆ 2
 
2.6%
Space Separator
ValueCountFrequency (%)
1025
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27409
90.7%
Common 2056
 
6.8%
Latin 743
 
2.5%
Han 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 656
 
2.4%
리 471
 
1.7%
식 471
 
1.7%
점 410
 
1.5%
스 401
 
1.5%
주 398
 
1.5%
마 372
 
1.4%
비 294
 
1.1%
래 283
 
1.0%
원 264
 
1.0%
Other values (746) 23389
85.3%
Latin
ValueCountFrequency (%)
B 61
 
8.2%
O 59
 
7.9%
e 39
 
5.2%
A 34
 
4.6%
L 34
 
4.6%
S 32
 
4.3%
C 32
 
4.3%
M 32
 
4.3%
a 27
 
3.6%
F 26
 
3.5%
Other values (38) 367
49.4%
Common
ValueCountFrequency (%)
1025
49.9%
) 339
 
16.5%
( 332
 
16.1%
0 75
 
3.6%
2 42
 
2.0%
1 42
 
2.0%
7 38
 
1.8%
. 28
 
1.4%
8 26
 
1.3%
9 24
 
1.2%
Other values (14) 85
 
4.1%
Han
ValueCountFrequency (%)
人 6
28.6%
酒 2
 
9.5%
新 2
 
9.5%
一 2
 
9.5%
家 2
 
9.5%
休 2
 
9.5%
食 2
 
9.5%
品 2
 
9.5%
牛 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27409
90.7%
ASCII 2796
 
9.2%
CJK 21
 
0.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1025
36.7%
) 339
 
12.1%
( 332
 
11.9%
0 75
 
2.7%
B 61
 
2.2%
O 59
 
2.1%
2 42
 
1.5%
1 42
 
1.5%
e 39
 
1.4%
7 38
 
1.4%
Other values (60) 744
26.6%
Hangul
ValueCountFrequency (%)
이 656
 
2.4%
리 471
 
1.7%
식 471
 
1.7%
점 410
 
1.5%
스 401
 
1.5%
주 398
 
1.5%
마 372
 
1.4%
비 294
 
1.1%
래 283
 
1.0%
원 264
 
1.0%
Other values (746) 23389
85.3%
CJK
ValueCountFrequency (%)
人 6
28.6%
酒 2
 
9.5%
新 2
 
9.5%
一 2
 
9.5%
家 2
 
9.5%
休 2
 
9.5%
食 2
 
9.5%
品 2
 
9.5%
牛 1
 
4.8%
None
ValueCountFrequency (%)
＆ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지도로명
Text

MISSING 

Distinct1402
Distinct (%)52.7%
Missing3168
Missing (%)54.4%
Memory size45.7 KiB
2024-05-11T07:21:57.699603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length29.978195
Min length22

Characters and Unicode

Total characters79742
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique877 ?
Unique (%)33.0%

Sample

1st row서울특별시 은평구 통일로71길 24-1, (대조동, 지층)
2nd row서울특별시 은평구 응암로13길 2-1, 1층 (응암동)
3rd row서울특별시 은평구 통일로83길 17-5, (갈현동, 1층)
4th row서울특별시 은평구 통일로83길 17-5, (갈현동, 1층)
5th row서울특별시 은평구 통일로 1022, 은평헤스티아2차 지하1층 105,106,107호 (진관동)
ValueCountFrequency (%)
은평구 2661
 
17.1%
서울특별시 2660
 
17.1%
1층 876
 
5.6%
응암동 503
 
3.2%
갈현동 442
 
2.8%
대조동 333
 
2.1%
통일로 259
 
1.7%
역촌동 247
 
1.6%
연서로 222
 
1.4%
불광동 207
 
1.3%
Other values (1234) 7170
46.0%
2024-05-11T07:21:59.700495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12927
 
16.2%
1 4188
 
5.3%
, 3955
 
5.0%
서 3474
 
4.4%
) 2931
 
3.7%
( 2931
 
3.7%
은 2900
 
3.6%
평 2899
 
3.6%
구 2779
 
3.5%
동 2748
 
3.4%
Other values (232) 38010
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43994
55.2%
Space Separator 12927
 
16.2%
Decimal Number 12160
 
15.2%
Other Punctuation 3956
 
5.0%
Close Punctuation 2931
 
3.7%
Open Punctuation 2931
 
3.7%
Dash Punctuation 736
 
0.9%
Uppercase Letter 89
 
0.1%
Math Symbol 17
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3474
 
7.9%
은 2900
 
6.6%
평 2899
 
6.6%
구 2779
 
6.3%
동 2748
 
6.2%
울 2667
 
6.1%
시 2664
 
6.1%
별 2660
 
6.0%
특 2660
 
6.0%
로 2567
 
5.8%
Other values (203) 15976
36.3%
Uppercase Letter
ValueCountFrequency (%)
B 35
39.3%
C 19
21.3%
A 11
 
12.4%
T 8
 
9.0%
K 7
 
7.9%
I 3
 
3.4%
H 2
 
2.2%
R 1
 
1.1%
M 1
 
1.1%
E 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 4188
34.4%
2 1892
15.6%
3 1117
 
9.2%
0 886
 
7.3%
7 705
 
5.8%
5 699
 
5.7%
8 694
 
5.7%
6 669
 
5.5%
4 661
 
5.4%
9 649
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 3955
> 99.9%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12927
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2931
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 736
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43994
55.2%
Common 35658
44.7%
Latin 90
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3474
 
7.9%
은 2900
 
6.6%
평 2899
 
6.6%
구 2779
 
6.3%
동 2748
 
6.2%
울 2667
 
6.1%
시 2664
 
6.1%
별 2660
 
6.0%
특 2660
 
6.0%
로 2567
 
5.8%
Other values (203) 15976
36.3%
Common
ValueCountFrequency (%)
12927
36.3%
1 4188
 
11.7%
, 3955
 
11.1%
) 2931
 
8.2%
( 2931
 
8.2%
2 1892
 
5.3%
3 1117
 
3.1%
0 886
 
2.5%
- 736
 
2.1%
7 705
 
2.0%
Other values (7) 3390
 
9.5%
Latin
ValueCountFrequency (%)
B 35
38.9%
C 19
21.1%
A 11
 
12.2%
T 8
 
8.9%
K 7
 
7.8%
I 3
 
3.3%
H 2
 
2.2%
R 1
 
1.1%
M 1
 
1.1%
E 1
 
1.1%
Other values (2) 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43994
55.2%
ASCII 35748
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12927
36.2%
1 4188
 
11.7%
, 3955
 
11.1%
) 2931
 
8.2%
( 2931
 
8.2%
2 1892
 
5.3%
3 1117
 
3.1%
0 886
 
2.5%
- 736
 
2.1%
7 705
 
2.0%
Other values (19) 3480
 
9.7%
Hangul
ValueCountFrequency (%)
서 3474
 
7.9%
은 2900
 
6.6%
평 2899
 
6.6%
구 2779
 
6.3%
동 2748
 
6.2%
울 2667
 
6.1%
시 2664
 
6.1%
별 2660
 
6.0%
특 2660
 
6.0%
로 2567
 
5.8%
Other values (203) 15976
36.3%

소재지지번
Text

Distinct3072
Distinct (%)52.7%
Missing2
Missing (%)< 0.1%
Memory size45.7 KiB
2024-05-11T07:22:01.228095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length28.72966
Min length21

Characters and Unicode

Total characters167379
Distinct characters261
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1910 ?
Unique (%)32.8%

Sample

1st row서울특별시 은평구 대조동 1번지 1호 지층
2nd row서울특별시 은평구 응암동 590번지 8호
3rd row서울특별시 은평구 갈현동 403번지 36호 1층
4th row서울특별시 은평구 갈현동 403번지 36호 1층
5th row서울특별시 은평구 진관동 100번지 1호 은평헤스티아2차
ValueCountFrequency (%)
은평구 5827
 
17.4%
서울특별시 5826
 
17.4%
응암동 1435
 
4.3%
1층 1322
 
3.9%
갈현동 1096
 
3.3%
대조동 831
 
2.5%
불광동 564
 
1.7%
1호 548
 
1.6%
지상1층 547
 
1.6%
지하1층 543
 
1.6%
Other values (1206) 15007
44.7%
2024-05-11T07:22:02.942686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41101
24.6%
1 8457
 
5.1%
지 7932
 
4.7%
번 6213
 
3.7%
구 5999
 
3.6%
호 5935
 
3.5%
동 5895
 
3.5%
은 5876
 
3.5%
평 5875
 
3.5%
서 5836
 
3.5%
Other values (251) 68260
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91411
54.6%
Space Separator 41101
24.6%
Decimal Number 30416
 
18.2%
Open Punctuation 1857
 
1.1%
Close Punctuation 1855
 
1.1%
Other Punctuation 420
 
0.3%
Dash Punctuation 164
 
0.1%
Uppercase Letter 114
 
0.1%
Math Symbol 39
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7932
 
8.7%
번 6213
 
6.8%
구 5999
 
6.6%
호 5935
 
6.5%
동 5895
 
6.4%
은 5876
 
6.4%
평 5875
 
6.4%
서 5836
 
6.4%
울 5833
 
6.4%
시 5833
 
6.4%
Other values (214) 30184
33.0%
Uppercase Letter
ValueCountFrequency (%)
B 46
40.4%
C 21
18.4%
A 19
16.7%
K 8
 
7.0%
T 8
 
7.0%
I 3
 
2.6%
H 2
 
1.8%
V 1
 
0.9%
G 1
 
0.9%
Y 1
 
0.9%
Other values (4) 4
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 8457
27.8%
2 3901
12.8%
5 2798
 
9.2%
3 2625
 
8.6%
4 2577
 
8.5%
0 2404
 
7.9%
9 2288
 
7.5%
8 1889
 
6.2%
6 1869
 
6.1%
7 1608
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 406
96.7%
. 5
 
1.2%
/ 4
 
1.0%
@ 3
 
0.7%
？ 1
 
0.2%
; 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
41101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1857
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91411
54.6%
Common 75852
45.3%
Latin 116
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7932
 
8.7%
번 6213
 
6.8%
구 5999
 
6.6%
호 5935
 
6.5%
동 5895
 
6.4%
은 5876
 
6.4%
평 5875
 
6.4%
서 5836
 
6.4%
울 5833
 
6.4%
시 5833
 
6.4%
Other values (214) 30184
33.0%
Common
ValueCountFrequency (%)
41101
54.2%
1 8457
 
11.1%
2 3901
 
5.1%
5 2798
 
3.7%
3 2625
 
3.5%
4 2577
 
3.4%
0 2404
 
3.2%
9 2288
 
3.0%
8 1889
 
2.5%
6 1869
 
2.5%
Other values (11) 5943
 
7.8%
Latin
ValueCountFrequency (%)
B 46
39.7%
C 21
18.1%
A 19
16.4%
K 8
 
6.9%
T 8
 
6.9%
I 3
 
2.6%
H 2
 
1.7%
b 1
 
0.9%
V 1
 
0.9%
G 1
 
0.9%
Other values (6) 6
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91411
54.6%
ASCII 75967
45.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41101
54.1%
1 8457
 
11.1%
2 3901
 
5.1%
5 2798
 
3.7%
3 2625
 
3.5%
4 2577
 
3.4%
0 2404
 
3.2%
9 2288
 
3.0%
8 1889
 
2.5%
6 1869
 
2.5%
Other values (26) 6058
 
8.0%
Hangul
ValueCountFrequency (%)
지 7932
 
8.7%
번 6213
 
6.8%
구 5999
 
6.6%
호 5935
 
6.5%
동 5895
 
6.4%
은 5876
 
6.4%
평 5875
 
6.4%
서 5836
 
6.4%
울 5833
 
6.4%
시 5833
 
6.4%
Other values (214) 30184
33.0%
None
ValueCountFrequency (%)
？ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2531
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20104094
Minimum19960301
Maximum20240223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:22:03.344248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960301
5-th percentile20020115
Q120040913
median20110225
Q320160201
95-th percentile20200809
Maximum20240223
Range279922
Interquartile range (IQR)119288

Descriptive statistics

Standard deviation62634.826
Coefficient of variation (CV)0.0031155259
Kurtosis-1.16295
Mean20104094
Median Absolute Deviation (MAD)50601
Skewness0.08243803
Sum1.1716666 × 1011
Variance3.9231214 × 109
MonotonicityNot monotonic
2024-05-11T07:22:03.839139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020907 178
 
3.1%
20020910 166
 
2.8%
20080716 38
 
0.7%
20081224 36
 
0.6%
20160201 34
 
0.6%
20160303 33
 
0.6%
20040310 27
 
0.5%
20160401 26
 
0.4%
20040630 22
 
0.4%
20031124 22
 
0.4%
Other values (2521) 5246
90.0%
ValueCountFrequency (%)
19960301 1
< 0.1%
19961023 1
< 0.1%
19970404 1
< 0.1%
19981007 1
< 0.1%
19991203 1
< 0.1%
20000202 1
< 0.1%
20000218 1
< 0.1%
20000721 1
< 0.1%
20000922 1
< 0.1%
20001201 2
< 0.1%
ValueCountFrequency (%)
20240223 3
0.1%
20240214 1
 
< 0.1%
20240202 1
 
< 0.1%
20240129 2
< 0.1%
20240118 1
 
< 0.1%
20240115 1
 
< 0.1%
20240112 2
< 0.1%
20240101 1
 
< 0.1%
20231221 1
 
< 0.1%
20231220 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
처분확정
5828 

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 5828
100.0%

Length

2024-05-11T07:22:04.256893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:04.540283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 5828
100.0%

처분명
Text

Distinct1045
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-05-11T07:22:04.941531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length65
Mean length9.9013384
Min length3

Characters and Unicode

Total characters57705
Distinct characters198
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)11.3%

Sample

1st row과징금부과
2nd row영업정지
3rd row시정명령
4th row시정명령
5th row시정명령
ValueCountFrequency (%)
영업정지 1145
 
13.5%
과태료부과 966
 
11.4%
시정명령 773
 
9.1%
영업소폐쇄 751
 
8.9%
시설개수명령 294
 
3.5%
과징금부과 227
 
2.7%
과태료 212
 
2.5%
부과 205
 
2.4%
및 194
 
2.3%
과징금 108
 
1.3%
Other values (1143) 3596
42.5%
2024-05-11T07:22:06.022836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4207
 
7.3%
0 3800
 
6.6%
정 2852
 
4.9%
2 2773
 
4.8%
업 2687
 
4.7%
2668
 
4.6%
영 2626
 
4.6%
1 2322
 
4.0%
부 2234
 
3.9%
. 2000
 
3.5%
Other values (188) 29536
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37292
64.6%
Decimal Number 12325
 
21.4%
Space Separator 2668
 
4.6%
Other Punctuation 2447
 
4.2%
Close Punctuation 1276
 
2.2%
Open Punctuation 1273
 
2.2%
Math Symbol 364
 
0.6%
Dash Punctuation 55
 
0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.6%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.3%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (165) 14483
38.8%
Decimal Number
ValueCountFrequency (%)
0 3800
30.8%
2 2773
22.5%
1 2322
18.8%
3 864
 
7.0%
5 573
 
4.6%
4 537
 
4.4%
6 442
 
3.6%
7 406
 
3.3%
9 308
 
2.5%
8 300
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 2000
81.7%
, 235
 
9.6%
% 147
 
6.0%
/ 36
 
1.5%
: 22
 
0.9%
? 6
 
0.2%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2668
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37292
64.6%
Common 20413
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.6%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.3%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (165) 14483
38.8%
Common
ValueCountFrequency (%)
0 3800
18.6%
2 2773
13.6%
2668
13.1%
1 2322
11.4%
. 2000
9.8%
) 1276
 
6.3%
( 1273
 
6.2%
3 864
 
4.2%
5 573
 
2.8%
4 537
 
2.6%
Other values (13) 2327
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37255
64.6%
ASCII 20413
35.4%
Compat Jamo 37
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.7%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.4%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (164) 14446
38.8%
ASCII
ValueCountFrequency (%)
0 3800
18.6%
2 2773
13.6%
2668
13.1%
1 2322
11.4%
. 2000
9.8%
) 1276
 
6.3%
( 1273
 
6.2%
3 864
 
4.2%
5 573
 
2.8%
4 537
 
2.6%
Other values (13) 2327
11.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 37
100.0%

법적근거
Text

Distinct624
Distinct (%)10.7%
Missing1
Missing (%)< 0.1%
Memory size45.7 KiB
2024-05-11T07:22:06.703441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length12.701562
Min length1

Characters and Unicode

Total characters74012
Distinct characters120
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)4.7%

Sample

1st row법 제75조
2nd row법 제75조
3rd row법 제71조, 법 제74조 및 법 제75조
4th row법 제71조, 법 제74조 및 법 제75조
5th row법 제71조, 법 제74조 및 법 제75조
ValueCountFrequency (%)
법 2633
16.9%
식품위생법 2151
 
13.8%
제75조 1204
 
7.7%
및 963
 
6.2%
제71조 719
 
4.6%
동법 513
 
3.3%
제44조 376
 
2.4%
제101조제2항제1호 362
 
2.3%
법22조5항위반 315
 
2.0%
제101조 259
 
1.7%
Other values (435) 6074
39.0%
2024-05-11T07:22:07.809322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9916
13.4%
제 8442
11.4%
조 8035
10.9%
법 7373
 
10.0%
1 4985
 
6.7%
위 3696
 
5.0%
식 3274
 
4.4%
품 3271
 
4.4%
생 3255
 
4.4%
2 3134
 
4.2%
Other values (110) 18631
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43315
58.5%
Decimal Number 19415
26.2%
Space Separator 9916
 
13.4%
Other Punctuation 1222
 
1.7%
Open Punctuation 73
 
0.1%
Close Punctuation 71
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 8442
19.5%
조 8035
18.6%
법 7373
17.0%
위 3696
8.5%
식 3274
 
7.6%
품 3271
 
7.6%
생 3255
 
7.5%
항 2154
 
5.0%
및 995
 
2.3%
동 651
 
1.5%
Other values (94) 2169
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 4985
25.7%
2 3134
16.1%
7 3022
15.6%
5 1951
 
10.0%
3 1901
 
9.8%
4 1858
 
9.6%
0 1255
 
6.5%
6 932
 
4.8%
8 301
 
1.6%
9 76
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 655
53.6%
/ 565
46.2%
? 2
 
0.2%
Space Separator
ValueCountFrequency (%)
9916
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43315
58.5%
Common 30697
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 8442
19.5%
조 8035
18.6%
법 7373
17.0%
위 3696
8.5%
식 3274
 
7.6%
품 3271
 
7.6%
생 3255
 
7.5%
항 2154
 
5.0%
및 995
 
2.3%
동 651
 
1.5%
Other values (94) 2169
 
5.0%
Common
ValueCountFrequency (%)
9916
32.3%
1 4985
16.2%
2 3134
 
10.2%
7 3022
 
9.8%
5 1951
 
6.4%
3 1901
 
6.2%
4 1858
 
6.1%
0 1255
 
4.1%
6 932
 
3.0%
, 655
 
2.1%
Other values (6) 1088
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43289
58.5%
ASCII 30697
41.5%
Compat Jamo 26
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9916
32.3%
1 4985
16.2%
2 3134
 
10.2%
7 3022
 
9.8%
5 1951
 
6.4%
3 1901
 
6.2%
4 1858
 
6.1%
0 1255
 
4.1%
6 932
 
3.0%
, 655
 
2.1%
Other values (6) 1088
 
3.5%
Hangul
ValueCountFrequency (%)
제 8442
19.5%
조 8035
18.6%
법 7373
17.0%
위 3696
8.5%
식 3274
 
7.6%
품 3271
 
7.6%
생 3255
 
7.5%
항 2154
 
5.0%
및 995
 
2.3%
동 651
 
1.5%
Other values (89) 2143
 
5.0%
Compat Jamo
ValueCountFrequency (%)
ㄷ 6
23.1%
ㅈ 6
23.1%
ㅂ 6
23.1%
ㅁ 6
23.1%
ㅔ 2
 
7.7%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2541
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20103802
Minimum19901231
Maximum20240223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:22:08.211492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19901231
5-th percentile20020123
Q120040913
median20110223
Q320151217
95-th percentile20200827
Maximum20240223
Range338992
Interquartile range (IQR)110304

Descriptive statistics

Standard deviation62535.235
Coefficient of variation (CV)0.0031106173
Kurtosis-1.1406167
Mean20103802
Median Absolute Deviation (MAD)50596
Skewness0.082873015
Sum1.1716496 × 1011
Variance3.9106557 × 109
MonotonicityNot monotonic
2024-05-11T07:22:08.660058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020907 184
 
3.2%
20020910 165
 
2.8%
20081224 37
 
0.6%
20080716 35
 
0.6%
20160303 33
 
0.6%
20151130 30
 
0.5%
20031124 22
 
0.4%
20160401 22
 
0.4%
20040630 22
 
0.4%
20150328 21
 
0.4%
Other values (2531) 5257
90.2%
ValueCountFrequency (%)
19901231 1
< 0.1%
19960301 1
< 0.1%
19961023 1
< 0.1%
19970404 1
< 0.1%
19981007 1
< 0.1%
19991203 1
< 0.1%
20000202 1
< 0.1%
20000218 1
< 0.1%
20000721 1
< 0.1%
20000922 1
< 0.1%
ValueCountFrequency (%)
20240223 3
0.1%
20240214 1
 
< 0.1%
20240202 1
 
< 0.1%
20240129 2
< 0.1%
20240118 1
 
< 0.1%
20240115 1
 
< 0.1%
20240112 2
< 0.1%
20240101 1
 
< 0.1%
20231221 1
 
< 0.1%
20231220 1
 
< 0.1%

위반내용
Text

Distinct2022
Distinct (%)34.7%
Missing2
Missing (%)< 0.1%
Memory size45.7 KiB
2024-05-11T07:22:09.312219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length206
Median length126
Mean length17.523859
Min length2

Characters and Unicode

Total characters102094
Distinct characters570
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1235 ?
Unique (%)21.2%

Sample

1st row청소년 주류제공(1차)
2nd row청소년 주류제공(1차)
3rd row영업장 무단확장(2차)
4th row영업장 무단확장(2차)
5th row영업장 무단확장(2차)
ValueCountFrequency (%)
건강진단 412
 
2.4%
청소년 373
 
2.1%
시설물멸실 363
 
2.1%
청소년주류제공(1차 248
 
1.4%
1차 238
 
1.4%
내 224
 
1.3%
212
 
1.2%
조리장 211
 
1.2%
영업주 210
 
1.2%
청소년주류제공 208
 
1.2%
Other values (3147) 14773
84.6%
2024-05-11T07:22:10.500158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12675
 
12.4%
1 3481
 
3.4%
( 3446
 
3.4%
) 3440
 
3.4%
업 3370
 
3.3%
차 2277
 
2.2%
영 2272
 
2.2%
시 2188
 
2.1%
미 1858
 
1.8%
주 1658
 
1.6%
Other values (560) 65429
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71854
70.4%
Space Separator 12675
 
12.4%
Decimal Number 7491
 
7.3%
Open Punctuation 3451
 
3.4%
Close Punctuation 3449
 
3.4%
Other Punctuation 2369
 
2.3%
Connector Punctuation 353
 
0.3%
Dash Punctuation 196
 
0.2%
Lowercase Letter 171
 
0.2%
Math Symbol 43
 
< 0.1%
Other values (4) 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3370
 
4.7%
차 2277
 
3.2%
영 2272
 
3.2%
시 2188
 
3.0%
미 1858
 
2.6%
주 1658
 
2.3%
소 1531
 
2.1%
장 1277
 
1.8%
단 1230
 
1.7%
제 1229
 
1.7%
Other values (506) 52964
73.7%
Lowercase Letter
ValueCountFrequency (%)
o 46
26.9%
g 37
21.6%
m 18
 
10.5%
w 12
 
7.0%
f 6
 
3.5%
y 6
 
3.5%
n 6
 
3.5%
h 6
 
3.5%
a 6
 
3.5%
k 6
 
3.5%
Other values (6) 22
12.9%
Decimal Number
ValueCountFrequency (%)
1 3481
46.5%
2 1216
 
16.2%
0 1065
 
14.2%
3 415
 
5.5%
5 405
 
5.4%
4 333
 
4.4%
6 200
 
2.7%
9 132
 
1.8%
7 131
 
1.7%
8 113
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 875
36.9%
/ 598
25.2%
, 429
18.1%
: 402
17.0%
? 24
 
1.0%
% 18
 
0.8%
* 14
 
0.6%
; 5
 
0.2%
？ 4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
O 11
44.0%
C 7
28.0%
M 3
 
12.0%
E 2
 
8.0%
G 1
 
4.0%
P 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 3440
99.7%
] 5
 
0.1%
} 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3446
99.9%
[ 5
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 32
74.4%
+ 11
 
25.6%
Space Separator
ValueCountFrequency (%)
12675
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 8
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71854
70.4%
Common 30044
29.4%
Latin 196
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3370
 
4.7%
차 2277
 
3.2%
영 2272
 
3.2%
시 2188
 
3.0%
미 1858
 
2.6%
주 1658
 
2.3%
소 1531
 
2.1%
장 1277
 
1.8%
단 1230
 
1.7%
제 1229
 
1.7%
Other values (506) 52964
73.7%
Common
ValueCountFrequency (%)
12675
42.2%
1 3481
 
11.6%
( 3446
 
11.5%
) 3440
 
11.4%
2 1216
 
4.0%
0 1065
 
3.5%
. 875
 
2.9%
/ 598
 
2.0%
, 429
 
1.4%
3 415
 
1.4%
Other values (22) 2404
 
8.0%
Latin
ValueCountFrequency (%)
o 46
23.5%
g 37
18.9%
m 18
 
9.2%
w 12
 
6.1%
O 11
 
5.6%
C 7
 
3.6%
f 6
 
3.1%
y 6
 
3.1%
n 6
 
3.1%
h 6
 
3.1%
Other values (12) 41
20.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71782
70.3%
ASCII 30219
29.6%
Compat Jamo 72
 
0.1%
Punctuation 16
 
< 0.1%
None 4
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12675
41.9%
1 3481
 
11.5%
( 3446
 
11.4%
) 3440
 
11.4%
2 1216
 
4.0%
0 1065
 
3.5%
. 875
 
2.9%
/ 598
 
2.0%
, 429
 
1.4%
3 415
 
1.4%
Other values (40) 2579
 
8.5%
Hangul
ValueCountFrequency (%)
업 3370
 
4.7%
차 2277
 
3.2%
영 2272
 
3.2%
시 2188
 
3.0%
미 1858
 
2.6%
주 1658
 
2.3%
소 1531
 
2.1%
장 1277
 
1.8%
단 1230
 
1.7%
제 1229
 
1.7%
Other values (501) 52892
73.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 48
66.7%
ㅂ 6
 
8.3%
ㅈ 6
 
8.3%
ㅁ 6
 
8.3%
ㄷ 6
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 8
50.0%
‘ 8
50.0%
None
ValueCountFrequency (%)
？ 4
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

처분내용
Text

Distinct1045
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-05-11T07:22:11.061151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length65
Mean length9.9013384
Min length3

Characters and Unicode

Total characters57705
Distinct characters198
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)11.3%

Sample

1st row과징금부과
2nd row영업정지
3rd row시정명령
4th row시정명령
5th row시정명령
ValueCountFrequency (%)
영업정지 1145
 
13.5%
과태료부과 966
 
11.4%
시정명령 773
 
9.1%
영업소폐쇄 751
 
8.9%
시설개수명령 294
 
3.5%
과징금부과 227
 
2.7%
과태료 212
 
2.5%
부과 205
 
2.4%
및 194
 
2.3%
과징금 108
 
1.3%
Other values (1143) 3596
42.5%
2024-05-11T07:22:12.222573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4207
 
7.3%
0 3800
 
6.6%
정 2852
 
4.9%
2 2773
 
4.8%
업 2687
 
4.7%
2668
 
4.6%
영 2626
 
4.6%
1 2322
 
4.0%
부 2234
 
3.9%
. 2000
 
3.5%
Other values (188) 29536
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37292
64.6%
Decimal Number 12325
 
21.4%
Space Separator 2668
 
4.6%
Other Punctuation 2447
 
4.2%
Close Punctuation 1276
 
2.2%
Open Punctuation 1273
 
2.2%
Math Symbol 364
 
0.6%
Dash Punctuation 55
 
0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.6%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.3%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (165) 14483
38.8%
Decimal Number
ValueCountFrequency (%)
0 3800
30.8%
2 2773
22.5%
1 2322
18.8%
3 864
 
7.0%
5 573
 
4.6%
4 537
 
4.4%
6 442
 
3.6%
7 406
 
3.3%
9 308
 
2.5%
8 300
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 2000
81.7%
, 235
 
9.6%
% 147
 
6.0%
/ 36
 
1.5%
: 22
 
0.9%
? 6
 
0.2%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2668
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1273
100.0%
Math Symbol
ValueCountFrequency (%)
~ 364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37292
64.6%
Common 20413
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.6%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.3%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (165) 14483
38.8%
Common
ValueCountFrequency (%)
0 3800
18.6%
2 2773
13.6%
2668
13.1%
1 2322
11.4%
. 2000
9.8%
) 1276
 
6.3%
( 1273
 
6.2%
3 864
 
4.2%
5 573
 
2.8%
4 537
 
2.6%
Other values (13) 2327
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37255
64.6%
ASCII 20413
35.4%
Compat Jamo 37
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4207
 
11.3%
정 2852
 
7.7%
업 2687
 
7.2%
영 2626
 
7.0%
부 2234
 
6.0%
지 1890
 
5.1%
료 1710
 
4.6%
태 1622
 
4.4%
시 1556
 
4.2%
명 1425
 
3.8%
Other values (164) 14446
38.8%
ASCII
ValueCountFrequency (%)
0 3800
18.6%
2 2773
13.6%
2668
13.1%
1 2322
11.4%
. 2000
9.8%
) 1276
 
6.3%
( 1273
 
6.2%
3 864
 
4.2%
5 573
 
2.8%
4 537
 
2.6%
Other values (13) 2327
11.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 37
100.0%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)3.7%
Missing5103
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean10.801379
Minimum0
Maximum45
Zeros67
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:22:12.712647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median10
Q315
95-th percentile29
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.5917408
Coefficient of variation (CV)0.7028492
Kurtosis1.5219144
Mean10.801379
Median Absolute Deviation (MAD)5
Skewness0.8881951
Sum7831
Variance57.634528
MonotonicityNot monotonic
2024-05-11T07:22:13.137368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
15 249
 
4.3%
7 168
 
2.9%
0 67
 
1.1%
10 53
 
0.9%
1 49
 
0.8%
30 27
 
0.5%
5 25
 
0.4%
8 20
 
0.3%
23 12
 
0.2%
20 11
 
0.2%
Other values (17) 44
 
0.8%
(Missing) 5103
87.6%
ValueCountFrequency (%)
0 67
 
1.1%
1 49
 
0.8%
2 3
 
0.1%
3 9
 
0.2%
4 1
 
< 0.1%
5 25
 
0.4%
6 2
 
< 0.1%
7 168
2.9%
8 20
 
0.3%
10 53
 
0.9%
ValueCountFrequency (%)
45 1
 
< 0.1%
40 4
 
0.1%
31 5
 
0.1%
30 27
0.5%
25 2
 
< 0.1%
23 12
0.2%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 11
0.2%
19 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1759
Distinct (%)49.5%
Missing2275
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean90.816324
Minimum0
Maximum2294.76
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-05-11T07:22:13.683133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.4
Q133
median65.5
Q398.64
95-th percentile233.952
Maximum2294.76
Range2294.76
Interquartile range (IQR)65.64

Descriptive statistics

Standard deviation118.97096
Coefficient of variation (CV)1.3100173
Kurtosis69.902912
Mean90.816324
Median Absolute Deviation (MAD)32.84
Skewness6.3970627
Sum322670.4
Variance14154.089
MonotonicityNot monotonic
2024-05-11T07:22:14.322339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.5 26
 
0.4%
13.1 18
 
0.3%
17.5 18
 
0.3%
6.6 14
 
0.2%
27.91 13
 
0.2%
70.95 13
 
0.2%
66.0 12
 
0.2%
54.76 12
 
0.2%
207.9 12
 
0.2%
26.95 12
 
0.2%
Other values (1749) 3403
58.4%
(Missing) 2275
39.0%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
2.01 1
 
< 0.1%
3.3 4
0.1%
3.4 1
 
< 0.1%
4.5 1
 
< 0.1%
5.0 2
 
< 0.1%
5.5 1
 
< 0.1%
5.98 1
 
< 0.1%
6.0 5
0.1%
6.5 1
 
< 0.1%
ValueCountFrequency (%)
2294.76 1
 
< 0.1%
1942.17 1
 
< 0.1%
1449.79 1
 
< 0.1%
1322.27 1
 
< 0.1%
993.0 1
 
< 0.1%
949.23 4
0.1%
919.65 1
 
< 0.1%
863.22 2
< 0.1%
854.06 1
 
< 0.1%
801.11 3
0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
<NA>
5735 
직영
 
84
(조합)위탁
 
9

Length

Max length6
Median length4
Mean length3.9742622
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5735
98.4%
직영 84
 
1.4%
(조합)위탁 9
 
0.2%

Length

2024-05-11T07:22:14.928714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:22:15.343925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5735
98.4%
직영 84
 
1.4%
조합)위탁 9
 
0.2%

Interactions

2024-05-11T07:21:45.591603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:35.921898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:37.778824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:39.537199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:41.488123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:43.748652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:45.905366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:36.195279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:38.057773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:39.832140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:41.874966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:44.070274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:46.236634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:36.471688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:38.357492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:40.126334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:42.303185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:44.352791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:46.521852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:36.773407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:38.738357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:40.432901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:42.632301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:44.698398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:46.949486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:37.323610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:39.003994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:40.810785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:42.948368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:44.955120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:47.329278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:37.552239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:39.275659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:41.210533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:43.452051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:21:45.243117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T07:22:15.658513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.0000.0000.0000.0000.000NaN0.000NaN
교부번호0.0001.0000.5840.6860.6400.4970.4530.3520.253
업종명0.0000.5841.0001.0000.4560.3660.5860.239NaN
업태명0.0000.6861.0001.0000.5530.5250.6710.6180.876
지도점검일자0.0000.6400.4560.5531.0000.9100.6590.1460.591
위반일자0.0000.4970.3660.5250.9101.0000.5100.1310.544
처분기간NaN0.4530.5860.6710.6590.5101.0000.000NaN
영업장면적(㎡)0.0000.3520.2390.6180.1460.1310.0001.000NaN
운영형태NaN0.253NaN0.8760.5910.544NaNNaN1.000
2024-05-11T07:22:16.081875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-11T07:22:16.372459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.5570.9990.9970.2230.0770.0651.000
교부번호0.5571.0000.5580.5610.1740.0320.2610.303
지도점검일자0.9990.5581.0000.9980.2160.0780.1550.571
위반일자0.9970.5610.9981.0000.2180.0790.1450.568
처분기간0.2230.1740.2160.2181.0000.0280.2940.000
영업장면적(㎡)0.0770.0320.0780.0790.0281.0000.1001.000
업종명0.0650.2610.1550.1450.2940.1001.0001.000
운영형태1.0000.3030.5710.5680.0001.0001.0001.000

Missing values

2024-05-11T07:21:47.922648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T07:21:48.961425image/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.
2024-05-11T07:21:49.480705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
031100002024040920120063461일반음식점호프/통닭치킨 좋아서울특별시 은평구 통일로71길 24-1, (대조동, 지층)서울특별시 은평구 대조동 1번지 1호 지층20240202처분확정과징금부과법 제75조20240202청소년 주류제공(1차)과징금부과<NA><NA><NA>
131100002024032620230084922일반음식점한식진짜대패집 응암점서울특별시 은평구 응암로13길 2-1, 1층 (응암동)서울특별시 은평구 응암동 590번지 8호20231110처분확정영업정지법 제75조20231110청소년 주류제공(1차)영업정지<NA><NA><NA>
231100002024031420150063887일반음식점일식구석집 본점서울특별시 은평구 통일로83길 17-5, (갈현동, 1층)서울특별시 은평구 갈현동 403번지 36호 1층20240129처분확정시정명령법 제71조, 법 제74조 및 법 제75조20240129영업장 무단확장(2차)시정명령<NA>125.92<NA>
331100002024031420150063887일반음식점일식구석집 본점서울특별시 은평구 통일로83길 17-5, (갈현동, 1층)서울특별시 은평구 갈현동 403번지 36호 1층20240129처분확정시정명령법 제71조, 법 제74조 및 법 제75조20240129영업장 무단확장(2차)시정명령<NA><NA><NA>
431100002024031420210064164일반음식점한식구파발 장작구이서울특별시 은평구 통일로 1022, 은평헤스티아2차 지하1층 105,106,107호 (진관동)서울특별시 은평구 진관동 100번지 1호 은평헤스티아2차20240118처분확정시정명령법 제71조, 법 제74조 및 법 제75조20240118영업장 무단확장(2차)시정명령<NA><NA><NA>
531100002024031120220077188일반음식점한식올데이파스타 은평본점서울특별시 은평구 역말로 52, 1층 (역촌동)서울특별시 은평구 역촌동 22번지 2호20240223처분확정과태료부과법 제101조제2항제10호 및 영 제67조20240223조리장 내 위생상태 불량(1차)과태료부과<NA>42.84<NA>
631100002024031120220077188일반음식점한식올데이파스타 은평본점서울특별시 은평구 역말로 52, 1층 (역촌동)서울특별시 은평구 역촌동 22번지 2호20240223처분확정과태료부과법 제101조제2항제10호 및 영 제67조20240223조리장 내 위생상태 불량(1차)과태료부과<NA><NA><NA>
731100002024030920180063935유흥주점영업룸살롱폭스노래바서울특별시 은평구 통일로 869, 서연빌딩 지하1층 (갈현동)서울특별시 은평구 갈현동 395번지 5호 지하 1층 서연빌딩20240223처분확정과태료부과법 제101조제4항3호20240223유흥접객원명부 부실 관리(1차)과태료부과<NA><NA><NA>
831100002024030720180063345일반음식점기타더원7080주점서울특별시 은평구 연서로29길 20-23, 지하1층 (갈현동)서울특별시 은평구 갈현동 402번지 28호 지하1층20240214처분확정시설개수명령법 제71조, 법 제74조 및 법 제75조20240214객실 안에 음향 및 반주시설을 설치(1차)시설개수명령<NA><NA><NA>
931100002024022120060063360일반음식점한식송추가마골1서울특별시 은평구 북한산로 276, 지상2층 (진관동)서울특별시 은평구 진관동 300번지 6호 지상2층20231004처분확정시정명령법 제71조, 법 제74조 및 법 제75조20231004영업장 무단확장(1차)시정명령<NA>200.56<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
581831100002000120719970063924일반음식점호프/통닭브로드웨이호프<NA>서울특별시 은평구 갈현동 489번지 23호20001201처분확정과태료70만원(영업주50만원, 종업원20만원)식품위생법 26조20001201건강진단미필(3/3명)과태료70만원(영업주50만원, 종업원20만원)<NA>165.05<NA>
581931100002000120319920063065일반음식점호프/통닭토크쇼<NA>서울특별시 은평구 갈현동 399번지 24호 1층20001203처분확정영업정지2월(2001.01.18~2001.03.17)식품위생법 31조 2항20001203청소년 주류제공영업정지2월(2001.01.18~2001.03.17)<NA>32.67<NA>
582031100002000081020000063285일반음식점분식걸리버<NA>서울특별시 은평구 녹번동 98번지 26호20000721처분확정영업소폐쇄식품위생법제22조20000721영업시설물 멸실영업소폐쇄<NA>21.0<NA>
582131100002000031519990063069일반음식점정종/대포집/소주방깡통집<NA>서울특별시 은평구 응암동 443번지 27호20000218처분확정영업소폐쇄식품위생법제58조20000218영업정지중영업영업소폐쇄<NA>21.07<NA>
582231100002000030819960063907일반음식점분식석<NA>서울특별시 은평구 응암동 579번지 38호20000202처분확정영업소폐쇄국세체납20000202국세3회이상체납영업소폐쇄<NA><NA><NA>
582331100002000010619930063655단란주점단란주점쎄시봉<NA>서울특별시 은평구 수색동 144번지 10호19991203처분확정영업허가취소식품위생법제31조제1항19991203유흥접객영업(2차)영업허가취소<NA>93.13<NA>
582431100001998100719960063459기타식품판매업기타식품판매업도원프라자서울특별시 은평구 은평로 203, (녹번동,1층)서울특별시 은평구 녹번동 79번지 2호 1층19981007처분확정시정명령식품위생법 제55조19981007표시기준 위반제품 진열판매시정명령<NA><NA><NA>
582531100001997040419760063018식품제조가공업식품제조가공업신흥식품서울특별시 은평구 역말로 17, (역촌동)서울특별시 은평구 역촌동 51번지 81호19970404처분확정과태료 10만원 부과식품위생법 제26조19970404건강진단미필(1/4명)과태료 10만원 부과<NA><NA><NA>
582631100001996102319960063459기타식품판매업기타식품판매업도원프라자서울특별시 은평구 은평로 203, (녹번동,1층)서울특별시 은평구 녹번동 79번지 2호 1층19961023처분확정시정명령식품위생법 제55조19961023식품등 취급위반시정명령<NA><NA><NA>
582731100001996033119930063247일반음식점경양식디디레스토랑<NA>서울특별시 은평구 응암동 85번지 5호19960301처분확정영업소폐쇄식품위생법제22조19960301시설물멸실영업소폐쇄<NA>66.18<NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
2831100002004041919730063007식품제조가공업식품제조가공업무궁화식품서울특별시 은평구 연서로28길 3, (대조동)서울특별시 은평구 대조동 185번지 50호20040310처분확정시정명령식품위생법 제10조, 제11조 및 동법 제22조 제6항 위반 동법 제55조 적용20030310표시기준위반시정명령1<NA><NA>6
3031100002004041919730063007식품제조가공업식품제조가공업무궁화식품서울특별시 은평구 연서로28길 3, (대조동)서울특별시 은평구 대조동 185번지 50호20040310처분확정시정명령식품위생법 제10조, 제11조 및 동법 제22조 제6항 위반 동법 제55조 적용20040310품목제조보고사항변경미보고시정명령1<NA><NA>6
3231100002004041919730063007식품제조가공업식품제조가공업무궁화식품서울특별시 은평구 연서로28길 3, (대조동)서울특별시 은평구 대조동 185번지 50호20040310처분확정시정명령식품위생법 제10조, 제11조 및 동법 제22조 제6항 위반 동법 제55조 적용20040310허위표시시정명령1<NA><NA>6
931100002002030719840063032일반음식점호프/통닭때때로<NA>서울특별시 은평구 대조동 198번지 2호20020207처분확정영업정지2월(2002.3.18~5.17)식품위생법31조2항20020311청소년주류제공영업정지2월(2002.3.18~5.17)<NA>22.78<NA>4
2031100002004020520000063009식품제조가공업식품제조가공업수예당제과서울특별시 은평구 서오릉로 71, (역촌동)서울특별시 은평구 역촌동 16번지 2호20040105처분확정과징금 39,600,000원 부과식품위생법 제10조 위반, 동법 제58조 및 제65조 적용20040105표시대상식품 전부 무표시과징금 39,600,000원 부과1<NA><NA>4
2131100002004020520000063009식품제조가공업식품제조가공업수예당제과서울특별시 은평구 서오릉로 71, (역촌동)서울특별시 은평구 역촌동 16번지 2호20040105처분확정과징금 39,600,000원 부과식품위생법 제10조 위반, 동법 제58조 및 제68조 적용20050105유통기한 변조과징금 39,600,000원 부과1<NA><NA>4
2231100002004020520000063009식품제조가공업식품제조가공업수예당제과서울특별시 은평구 서오릉로 71, (역촌동)서울특별시 은평구 역촌동 16번지 2호20040105처분확정당해제품폐기식품위생법 제10조 위반, 동법 제58조 및 제65조 적용20040105표시대상식품 전부 무표시당해제품폐기0<NA><NA>4
2331100002004020520000063009식품제조가공업식품제조가공업수예당제과서울특별시 은평구 서오릉로 71, (역촌동)서울특별시 은평구 역촌동 16번지 2호20040105처분확정당해제품폐기식품위생법 제10조 위반, 동법 제58조 및 제68조 적용20050105유통기한 변조당해제품폐기0<NA><NA>4
10431100002008121520020063007유통전문판매업유통전문판매업주식회사 신세계이마트서울특별시 은평구 은평로 111, (응암동,7층)서울특별시 은평구 응암동 90번지 1호 7층20080708처분확정품목류제조정지15,당해제품폐기,시정명령식품위생법제7조20080708기준과규격위반,표시기준위반품목류제조정지15,당해제품폐기,시정명령15<NA><NA>4
16031100002012020220040063660일반음식점호프/통닭애니쿨<NA>서울특별시 은평구 역촌동 43번지 77호 (2층)20110907처분확정영업정지2월(2012.2.16~2012.4.15)(사건처분결과시까지 1차 보류- 구약식 벌금 청구)식품위생법 제44조 제2항 / 동법 제75조20110907청소년주류제공(1차)영업정지2월(2012.2.16~2012.4.15)(사건처분결과시까지 1차 보류- 구약식 벌금 청구)<NA><NA><NA>4