Overview

Dataset statistics

Number of variables17
Number of observations8184
Missing cells12406
Missing cells (%)8.9%
Duplicate rows415
Duplicate rows (%)5.1%
Total size in memory1.1 MiB
Average record size in memory142.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-10302/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 415 (5.1%) 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 (52.8%)Imbalance
소재지도로명 has 954 (11.7%) missing valuesMissing
처분기간 has 7362 (90.0%) missing valuesMissing
영업장면적(㎡) has 4049 (49.5%) missing valuesMissing

Reproduction

Analysis started2024-05-11 05:21:02.763502
Analysis finished2024-05-11 05:21:20.174720
Duration17.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
3060000
8184 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 8184
100.0%

Length

2024-05-11T05:21:20.361711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:20.653589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 8184
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2490
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20109879
Minimum20010928
Maximum20240326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.1 KiB
2024-05-11T05:21:21.254316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010928
5-th percentile20021105
Q120051221
median20110414
Q320151215
95-th percentile20211101
Maximum20240326
Range229398
Interquartile range (IQR)99993.75

Descriptive statistics

Standard deviation59805.222
Coefficient of variation (CV)0.0029739225
Kurtosis-0.95842249
Mean20109879
Median Absolute Deviation (MAD)49996
Skewness0.23175594
Sum1.6457925 × 1011
Variance3.5766645 × 109
MonotonicityDecreasing
2024-05-11T05:21:21.845062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050311 299
 
3.7%
20060508 129
 
1.6%
20151130 87
 
1.1%
20080828 58
 
0.7%
20060104 54
 
0.7%
20080916 54
 
0.7%
20130823 50
 
0.6%
20231113 44
 
0.5%
20120705 35
 
0.4%
20150622 34
 
0.4%
Other values (2480) 7340
89.7%
ValueCountFrequency (%)
20010928 1
 
< 0.1%
20011004 5
0.1%
20011008 2
 
< 0.1%
20011009 3
< 0.1%
20011011 1
 
< 0.1%
20011012 3
< 0.1%
20011013 1
 
< 0.1%
20011016 2
 
< 0.1%
20011017 1
 
< 0.1%
20011018 2
 
< 0.1%
ValueCountFrequency (%)
20240326 1
 
< 0.1%
20240319 1
 
< 0.1%
20240305 2
< 0.1%
20240304 1
 
< 0.1%
20240227 4
< 0.1%
20240222 1
 
< 0.1%
20240213 3
< 0.1%
20240205 1
 
< 0.1%
20240204 1
 
< 0.1%
20240130 1
 
< 0.1%

교부번호
Text

Distinct4355
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2024-05-11T05:21:22.711707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.288368
Min length1

Characters and Unicode

Total characters84200
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2763 ?
Unique (%)33.8%

Sample

1st row20140046689
2nd row19980046553
3rd row20220054292
4th row20210046927
5th row20150046569
ValueCountFrequency (%)
20070046463 36
 
0.4%
20020046674 34
 
0.4%
20050046671 30
 
0.4%
20010046668 27
 
0.3%
19960046321 24
 
0.3%
20070046711 22
 
0.3%
19990046046 21
 
0.3%
20000046237 20
 
0.2%
20190046542 18
 
0.2%
19830046113 16
 
0.2%
Other values (4345) 7936
97.0%
2024-05-11T05:21:24.264354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27514
32.7%
4 10501
 
12.5%
6 10054
 
11.9%
2 8300
 
9.9%
1 7768
 
9.2%
9 7351
 
8.7%
3 3490
 
4.1%
7 3342
 
4.0%
5 3150
 
3.7%
8 2716
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84186
> 99.9%
Dash Punctuation 14
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27514
32.7%
4 10501
 
12.5%
6 10054
 
11.9%
2 8300
 
9.9%
1 7768
 
9.2%
9 7351
 
8.7%
3 3490
 
4.1%
7 3342
 
4.0%
5 3150
 
3.7%
8 2716
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27514
32.7%
4 10501
 
12.5%
6 10054
 
11.9%
2 8300
 
9.9%
1 7768
 
9.2%
9 7351
 
8.7%
3 3490
 
4.1%
7 3342
 
4.0%
5 3150
 
3.7%
8 2716
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27514
32.7%
4 10501
 
12.5%
6 10054
 
11.9%
2 8300
 
9.9%
1 7768
 
9.2%
9 7351
 
8.7%
3 3490
 
4.1%
7 3342
 
4.0%
5 3150
 
3.7%
8 2716
 
3.2%

업종명
Categorical

IMBALANCE 

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
일반음식점
5153 
단란주점
 
470
식품제조가공업
 
396
휴게음식점
 
362
즉석판매제조가공업
 
308
Other values (31)
1495 

Length

Max length16
Median length5
Mean length5.3828201
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5153
63.0%
단란주점 470
 
5.7%
식품제조가공업 396
 
4.8%
휴게음식점 362
 
4.4%
즉석판매제조가공업 308
 
3.8%
숙박업(일반) 233
 
2.8%
이용업 147
 
1.8%
유흥주점영업 139
 
1.7%
목욕장업 126
 
1.5%
식품등 수입판매업 95
 
1.2%
Other values (26) 755
 
9.2%

Length

2024-05-11T05:21:25.107851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5153
62.2%
단란주점 470
 
5.7%
식품제조가공업 396
 
4.8%
휴게음식점 362
 
4.4%
즉석판매제조가공업 308
 
3.7%
숙박업(일반 233
 
2.8%
이용업 147
 
1.8%
유흥주점영업 139
 
1.7%
목욕장업 126
 
1.5%
식품등 95
 
1.1%
Other values (25) 857
 
10.3%

업태명
Text

Distinct82
Distinct (%)1.0%
Missing17
Missing (%)0.2%
Memory size64.1 KiB
2024-05-11T05:21:25.885901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.3292519
Min length2

Characters and Unicode

Total characters35357
Distinct characters166
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row일반조리판매
2nd row호프/통닭
3rd row정종/대포집/소주방
4th row한식
5th row한식
ValueCountFrequency (%)
한식 1832
21.8%
호프/통닭 1195
14.2%
분식 565
 
6.7%
단란주점 470
 
5.6%
식품제조가공업 372
 
4.4%
정종/대포집/소주방 345
 
4.1%
즉석판매제조가공업 305
 
3.6%
중국식 277
 
3.3%
기타 271
 
3.2%
까페 232
 
2.8%
Other values (72) 2538
30.2%
2024-05-11T05:21:27.377442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3600
 
10.2%
업 2016
 
5.7%
/ 1885
 
5.3%
한 1832
 
5.2%
통 1443
 
4.1%
닭 1345
 
3.8%
호 1224
 
3.5%
프 1195
 
3.4%
주 815
 
2.3%
공 803
 
2.3%
Other values (156) 19199
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32790
92.7%
Other Punctuation 1895
 
5.4%
Space Separator 235
 
0.7%
Open Punctuation 189
 
0.5%
Close Punctuation 189
 
0.5%
Math Symbol 59
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3600
 
11.0%
업 2016
 
6.1%
한 1832
 
5.6%
통 1443
 
4.4%
닭 1345
 
4.1%
호 1224
 
3.7%
프 1195
 
3.6%
주 815
 
2.5%
공 803
 
2.4%
제 789
 
2.4%
Other values (149) 17728
54.1%
Other Punctuation
ValueCountFrequency (%)
/ 1885
99.5%
, 7
 
0.4%
. 3
 
0.2%
Space Separator
ValueCountFrequency (%)
235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Math Symbol
ValueCountFrequency (%)
+ 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32790
92.7%
Common 2567
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3600
 
11.0%
업 2016
 
6.1%
한 1832
 
5.6%
통 1443
 
4.4%
닭 1345
 
4.1%
호 1224
 
3.7%
프 1195
 
3.6%
주 815
 
2.5%
공 803
 
2.4%
제 789
 
2.4%
Other values (149) 17728
54.1%
Common
ValueCountFrequency (%)
/ 1885
73.4%
235
 
9.2%
( 189
 
7.4%
) 189
 
7.4%
+ 59
 
2.3%
, 7
 
0.3%
. 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32790
92.7%
ASCII 2567
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3600
 
11.0%
업 2016
 
6.1%
한 1832
 
5.6%
통 1443
 
4.4%
닭 1345
 
4.1%
호 1224
 
3.7%
프 1195
 
3.6%
주 815
 
2.5%
공 803
 
2.4%
제 789
 
2.4%
Other values (149) 17728
54.1%
ASCII
ValueCountFrequency (%)
/ 1885
73.4%
235
 
9.2%
( 189
 
7.4%
) 189
 
7.4%
+ 59
 
2.3%
, 7
 
0.3%
. 3
 
0.1%

업소명
Text

Distinct4373
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2024-05-11T05:21:28.309954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length5.1781525
Min length1

Characters and Unicode

Total characters42378
Distinct characters930
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2747 ?
Unique (%)33.6%

Sample

1st row왕가호떡.술빵
2nd row황금마차
3rd row소주방
4th row광수육회 상봉점
5th row삼촌국밥
ValueCountFrequency (%)
라이브 38
 
0.4%
주)짱죽 37
 
0.4%
맛짱식품 30
 
0.3%
김밥천국 29
 
0.3%
금용각 27
 
0.3%
섬마을구이전문점 27
 
0.3%
상봉점 24
 
0.3%
주식회사 23
 
0.3%
디오니스 22
 
0.2%
채린 20
 
0.2%
Other values (4589) 8612
96.9%
2024-05-11T05:21:29.781702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 897
 
2.1%
주 766
 
1.8%
식 744
 
1.8%
리 731
 
1.7%
스 715
 
1.7%
706
 
1.7%
점 660
 
1.6%
) 601
 
1.4%
( 594
 
1.4%
마 498
 
1.2%
Other values (920) 35466
83.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38774
91.5%
Space Separator 706
 
1.7%
Close Punctuation 601
 
1.4%
Open Punctuation 594
 
1.4%
Uppercase Letter 564
 
1.3%
Lowercase Letter 508
 
1.2%
Decimal Number 483
 
1.1%
Other Punctuation 131
 
0.3%
Letter Number 11
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 897
 
2.3%
주 766
 
2.0%
식 744
 
1.9%
리 731
 
1.9%
스 715
 
1.8%
점 660
 
1.7%
마 498
 
1.3%
당 420
 
1.1%
장 407
 
1.0%
사 395
 
1.0%
Other values (845) 32541
83.9%
Uppercase Letter
ValueCountFrequency (%)
B 58
 
10.3%
S 51
 
9.0%
C 44
 
7.8%
M 41
 
7.3%
E 37
 
6.6%
A 36
 
6.4%
H 31
 
5.5%
O 27
 
4.8%
N 27
 
4.8%
L 24
 
4.3%
Other values (15) 188
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 91
17.9%
a 46
 
9.1%
o 43
 
8.5%
s 41
 
8.1%
l 36
 
7.1%
c 33
 
6.5%
n 31
 
6.1%
r 29
 
5.7%
i 25
 
4.9%
h 18
 
3.5%
Other values (14) 115
22.6%
Decimal Number
ValueCountFrequency (%)
0 158
32.7%
2 70
14.5%
8 50
 
10.4%
1 45
 
9.3%
5 41
 
8.5%
7 40
 
8.3%
4 26
 
5.4%
3 21
 
4.3%
9 21
 
4.3%
6 11
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 39
29.8%
& 33
25.2%
？ 21
16.0%
? 14
 
10.7%
, 11
 
8.4%
' 6
 
4.6%
＆ 3
 
2.3%
/ 2
 
1.5%
; 1
 
0.8%
! 1
 
0.8%
Space Separator
ValueCountFrequency (%)
706
100.0%
Close Punctuation
ValueCountFrequency (%)
) 601
100.0%
Open Punctuation
ValueCountFrequency (%)
( 594
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38751
91.4%
Common 2521
 
5.9%
Latin 1083
 
2.6%
Han 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 897
 
2.3%
주 766
 
2.0%
식 744
 
1.9%
리 731
 
1.9%
스 715
 
1.8%
점 660
 
1.7%
마 498
 
1.3%
당 420
 
1.1%
장 407
 
1.1%
사 395
 
1.0%
Other values (831) 32518
83.9%
Latin
ValueCountFrequency (%)
e 91
 
8.4%
B 58
 
5.4%
S 51
 
4.7%
a 46
 
4.2%
C 44
 
4.1%
o 43
 
4.0%
M 41
 
3.8%
s 41
 
3.8%
E 37
 
3.4%
A 36
 
3.3%
Other values (40) 595
54.9%
Common
ValueCountFrequency (%)
706
28.0%
) 601
23.8%
( 594
23.6%
0 158
 
6.3%
2 70
 
2.8%
8 50
 
2.0%
1 45
 
1.8%
5 41
 
1.6%
7 40
 
1.6%
. 39
 
1.5%
Other values (15) 177
 
7.0%
Han
ValueCountFrequency (%)
男 4
17.4%
子 4
17.4%
辛 3
13.0%
樂 2
8.7%
美 1
 
4.3%
代 1
 
4.3%
三 1
 
4.3%
壁 1
 
4.3%
絶 1
 
4.3%
林 1
 
4.3%
Other values (4) 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38750
91.4%
ASCII 3569
 
8.4%
None 24
 
0.1%
CJK 20
 
< 0.1%
Number Forms 11
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 897
 
2.3%
주 766
 
2.0%
식 744
 
1.9%
리 731
 
1.9%
스 715
 
1.8%
점 660
 
1.7%
마 498
 
1.3%
당 420
 
1.1%
장 407
 
1.1%
사 395
 
1.0%
Other values (830) 32517
83.9%
ASCII
ValueCountFrequency (%)
706
19.8%
) 601
16.8%
( 594
16.6%
0 158
 
4.4%
e 91
 
2.5%
2 70
 
2.0%
B 58
 
1.6%
S 51
 
1.4%
8 50
 
1.4%
a 46
 
1.3%
Other values (62) 1144
32.1%
None
ValueCountFrequency (%)
？ 21
87.5%
＆ 3
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
100.0%
CJK
ValueCountFrequency (%)
男 4
20.0%
子 4
20.0%
辛 3
15.0%
美 1
 
5.0%
代 1
 
5.0%
三 1
 
5.0%
壁 1
 
5.0%
絶 1
 
5.0%
味 1
 
5.0%
夢 1
 
5.0%
Other values (2) 2
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 2
66.7%
林 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

소재지도로명
Text

MISSING 

Distinct3241
Distinct (%)44.8%
Missing954
Missing (%)11.7%
Memory size64.1 KiB
2024-05-11T05:21:30.658352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length52
Mean length27.519364
Min length21

Characters and Unicode

Total characters198965
Distinct characters284
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

Unique1773 ?
Unique (%)24.5%

Sample

1st row서울특별시 중랑구 신내로 201, 1층 (신내동)
2nd row서울특별시 중랑구 중랑역로 154, (묵동)
3rd row서울특별시 중랑구 용마산로115길 86, 지하1층 (망우동)
4th row서울특별시 중랑구 망우로 198-14, 1층 (상봉동)
5th row서울특별시 중랑구 용마산로 468, (망우동)
ValueCountFrequency (%)
서울특별시 7230
18.7%
중랑구 7230
18.7%
면목동 2530
 
6.6%
상봉동 1267
 
3.3%
망우동 918
 
2.4%
중화동 721
 
1.9%
묵동 709
 
1.8%
1층 670
 
1.7%
면목로 623
 
1.6%
중랑역로 489
 
1.3%
Other values (1774) 16210
42.0%
2024-05-11T05:21:32.051681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31378
 
15.8%
중 8869
 
4.5%
, 8649
 
4.3%
동 8374
 
4.2%
랑 7986
 
4.0%
) 7322
 
3.7%
( 7320
 
3.7%
시 7266
 
3.7%
울 7244
 
3.6%
서 7243
 
3.6%
Other values (274) 97314
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114339
57.5%
Space Separator 31378
 
15.8%
Decimal Number 29222
 
14.7%
Other Punctuation 8673
 
4.4%
Close Punctuation 7322
 
3.7%
Open Punctuation 7320
 
3.7%
Dash Punctuation 543
 
0.3%
Uppercase Letter 147
 
0.1%
Math Symbol 18
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 8869
 
7.8%
동 8374
 
7.3%
랑 7986
 
7.0%
시 7266
 
6.4%
울 7244
 
6.3%
서 7243
 
6.3%
구 7236
 
6.3%
별 7230
 
6.3%
특 7230
 
6.3%
로 7217
 
6.3%
Other values (239) 38444
33.6%
Uppercase Letter
ValueCountFrequency (%)
B 67
45.6%
A 25
 
17.0%
S 20
 
13.6%
C 17
 
11.6%
E 3
 
2.0%
D 3
 
2.0%
K 3
 
2.0%
T 3
 
2.0%
I 2
 
1.4%
M 1
 
0.7%
Other values (3) 3
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 6901
23.6%
2 3993
13.7%
3 3698
12.7%
4 2892
9.9%
5 2416
 
8.3%
0 2119
 
7.3%
6 1987
 
6.8%
9 1835
 
6.3%
7 1772
 
6.1%
8 1609
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 8649
99.7%
@ 11
 
0.1%
. 7
 
0.1%
? 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
c 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
31378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 543
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114339
57.5%
Common 84476
42.5%
Latin 150
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 8869
 
7.8%
동 8374
 
7.3%
랑 7986
 
7.0%
시 7266
 
6.4%
울 7244
 
6.3%
서 7243
 
6.3%
구 7236
 
6.3%
별 7230
 
6.3%
특 7230
 
6.3%
로 7217
 
6.3%
Other values (239) 38444
33.6%
Common
ValueCountFrequency (%)
31378
37.1%
, 8649
 
10.2%
) 7322
 
8.7%
( 7320
 
8.7%
1 6901
 
8.2%
2 3993
 
4.7%
3 3698
 
4.4%
4 2892
 
3.4%
5 2416
 
2.9%
0 2119
 
2.5%
Other values (9) 7788
 
9.2%
Latin
ValueCountFrequency (%)
B 67
44.7%
A 25
 
16.7%
S 20
 
13.3%
C 17
 
11.3%
E 3
 
2.0%
D 3
 
2.0%
K 3
 
2.0%
T 3
 
2.0%
I 2
 
1.3%
M 1
 
0.7%
Other values (6) 6
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114339
57.5%
ASCII 84626
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31378
37.1%
, 8649
 
10.2%
) 7322
 
8.7%
( 7320
 
8.6%
1 6901
 
8.2%
2 3993
 
4.7%
3 3698
 
4.4%
4 2892
 
3.4%
5 2416
 
2.9%
0 2119
 
2.5%
Other values (25) 7938
 
9.4%
Hangul
ValueCountFrequency (%)
중 8869
 
7.8%
동 8374
 
7.3%
랑 7986
 
7.0%
시 7266
 
6.4%
울 7244
 
6.3%
서 7243
 
6.3%
구 7236
 
6.3%
별 7230
 
6.3%
특 7230
 
6.3%
로 7217
 
6.3%
Other values (239) 38444
33.6%

소재지지번
Text

Distinct3324
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2024-05-11T05:21:32.999488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length48
Mean length26.494501
Min length20

Characters and Unicode

Total characters216831
Distinct characters271
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

Unique1695 ?
Unique (%)20.7%

Sample

1st row서울특별시 중랑구 신내동 645번지 지상1층
2nd row서울특별시 중랑구 묵동 245번지 70호
3rd row서울특별시 중랑구 망우동 490번지 12호
4th row서울특별시 중랑구 상봉동 130번지 110호
5th row서울특별시 중랑구 망우동 444번지 5호 1층
ValueCountFrequency (%)
서울특별시 8184
19.2%
중랑구 8184
19.2%
면목동 3032
 
7.1%
상봉동 1536
 
3.6%
망우동 1136
 
2.7%
묵동 887
 
2.1%
중화동 882
 
2.1%
1호 874
 
2.1%
신내동 711
 
1.7%
2호 363
 
0.9%
Other values (1256) 16791
39.4%
2024-05-11T05:21:34.380793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57310
26.4%
중 9096
 
4.2%
지 8699
 
4.0%
1 8646
 
4.0%
동 8333
 
3.8%
시 8209
 
3.8%
랑 8198
 
3.8%
울 8196
 
3.8%
서 8193
 
3.8%
구 8193
 
3.8%
Other values (261) 83758
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119142
54.9%
Space Separator 57310
26.4%
Decimal Number 39512
 
18.2%
Other Punctuation 253
 
0.1%
Dash Punctuation 221
 
0.1%
Close Punctuation 132
 
0.1%
Open Punctuation 130
 
0.1%
Uppercase Letter 119
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 9096
 
7.6%
지 8699
 
7.3%
동 8333
 
7.0%
시 8209
 
6.9%
랑 8198
 
6.9%
울 8196
 
6.9%
서 8193
 
6.9%
구 8193
 
6.9%
번 8186
 
6.9%
별 8185
 
6.9%
Other values (225) 35654
29.9%
Uppercase Letter
ValueCountFrequency (%)
B 59
49.6%
A 17
 
14.3%
C 16
 
13.4%
S 8
 
6.7%
D 3
 
2.5%
T 3
 
2.5%
K 3
 
2.5%
F 2
 
1.7%
I 2
 
1.7%
G 1
 
0.8%
Other values (5) 5
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 8646
21.9%
2 4601
11.6%
3 4506
11.4%
4 4017
10.2%
0 3670
9.3%
6 3615
9.1%
5 3094
 
7.8%
7 2580
 
6.5%
8 2477
 
6.3%
9 2306
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 240
94.9%
. 7
 
2.8%
? 6
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
c 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
57310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119142
54.9%
Common 97567
45.0%
Latin 122
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 9096
 
7.6%
지 8699
 
7.3%
동 8333
 
7.0%
시 8209
 
6.9%
랑 8198
 
6.9%
울 8196
 
6.9%
서 8193
 
6.9%
구 8193
 
6.9%
번 8186
 
6.9%
별 8185
 
6.9%
Other values (225) 35654
29.9%
Common
ValueCountFrequency (%)
57310
58.7%
1 8646
 
8.9%
2 4601
 
4.7%
3 4506
 
4.6%
4 4017
 
4.1%
0 3670
 
3.8%
6 3615
 
3.7%
5 3094
 
3.2%
7 2580
 
2.6%
8 2477
 
2.5%
Other values (8) 3051
 
3.1%
Latin
ValueCountFrequency (%)
B 59
48.4%
A 17
 
13.9%
C 16
 
13.1%
S 8
 
6.6%
D 3
 
2.5%
T 3
 
2.5%
K 3
 
2.5%
F 2
 
1.6%
I 2
 
1.6%
G 1
 
0.8%
Other values (8) 8
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119142
54.9%
ASCII 97689
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57310
58.7%
1 8646
 
8.9%
2 4601
 
4.7%
3 4506
 
4.6%
4 4017
 
4.1%
0 3670
 
3.8%
6 3615
 
3.7%
5 3094
 
3.2%
7 2580
 
2.6%
8 2477
 
2.5%
Other values (26) 3173
 
3.2%
Hangul
ValueCountFrequency (%)
중 9096
 
7.6%
지 8699
 
7.3%
동 8333
 
7.0%
시 8209
 
6.9%
랑 8198
 
6.9%
울 8196
 
6.9%
서 8193
 
6.9%
구 8193
 
6.9%
번 8186
 
6.9%
별 8185
 
6.9%
Other values (225) 35654
29.9%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2987
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108394
Minimum20000823
Maximum20240311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.1 KiB
2024-05-11T05:21:34.844135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000823
5-th percentile20020925
Q120051121
median20110311
Q320151111
95-th percentile20210911
Maximum20240311
Range239488
Interquartile range (IQR)99990

Descriptive statistics

Standard deviation59707.926
Coefficient of variation (CV)0.0029693035
Kurtosis-0.95870552
Mean20108394
Median Absolute Deviation (MAD)50097
Skewness0.22502466
Sum1.645671 × 1011
Variance3.5650365 × 109
MonotonicityNot monotonic
2024-05-11T05:21:35.280015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050203 294
 
3.6%
20060214 125
 
1.5%
20151111 86
 
1.1%
20231020 62
 
0.8%
20051121 50
 
0.6%
20120101 45
 
0.5%
20090817 40
 
0.5%
20120705 36
 
0.4%
20130101 34
 
0.4%
20190101 34
 
0.4%
Other values (2977) 7378
90.2%
ValueCountFrequency (%)
20000823 1
< 0.1%
20000905 1
< 0.1%
20010303 1
< 0.1%
20010406 1
< 0.1%
20010601 1
< 0.1%
20010615 1
< 0.1%
20010625 1
< 0.1%
20010628 2
< 0.1%
20010726 2
< 0.1%
20010729 1
< 0.1%
ValueCountFrequency (%)
20240311 1
 
< 0.1%
20240214 1
 
< 0.1%
20240207 1
 
< 0.1%
20240201 1
 
< 0.1%
20240126 3
< 0.1%
20240123 1
 
< 0.1%
20240118 1
 
< 0.1%
20240111 1
 
< 0.1%
20240104 1
 
< 0.1%
20231230 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
처분확정
8184 

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 8184
100.0%

Length

2024-05-11T05:21:35.564091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:35.788831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 8184
100.0%

처분명
Text

Distinct1187
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2024-05-11T05:21:36.251871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length118
Mean length9.1917155
Min length2

Characters and Unicode

Total characters75225
Distinct characters225
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)8.9%

Sample

1st row직권말소
2nd row과징금부과
3rd row직권말소
4th row시정명령
5th row영업정지
ValueCountFrequency (%)
영업정지 1428
 
11.7%
영업소폐쇄 1403
 
11.5%
시정명령 1121
 
9.2%
과태료부과 947
 
7.8%
부과 343
 
2.8%
과태료 325
 
2.7%
직권말소 301
 
2.5%
및 293
 
2.4%
시설개수명령 275
 
2.3%
과징금부과 265
 
2.2%
Other values (1274) 5514
45.1%
2024-05-11T05:21:37.389281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4807
 
6.4%
4046
 
5.4%
업 3997
 
5.3%
영 3963
 
5.3%
정 3878
 
5.2%
0 3485
 
4.6%
1 2900
 
3.9%
2 2797
 
3.7%
지 2528
 
3.4%
부 2381
 
3.2%
Other values (215) 40443
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52175
69.4%
Decimal Number 13229
 
17.6%
Space Separator 4046
 
5.4%
Other Punctuation 2444
 
3.2%
Open Punctuation 1402
 
1.9%
Close Punctuation 1396
 
1.9%
Math Symbol 358
 
0.5%
Dash Punctuation 174
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.8%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (184) 23062
44.2%
Decimal Number
ValueCountFrequency (%)
0 3485
26.3%
1 2900
21.9%
2 2797
21.1%
5 867
 
6.6%
3 737
 
5.6%
4 737
 
5.6%
6 712
 
5.4%
8 380
 
2.9%
7 370
 
2.8%
9 244
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 1891
77.4%
, 238
 
9.7%
% 156
 
6.4%
/ 52
 
2.1%
' 50
 
2.0%
: 37
 
1.5%
* 17
 
0.7%
; 2
 
0.1%
？ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 338
94.4%
< 9
 
2.5%
> 9
 
2.5%
→ 1
 
0.3%
+ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1399
99.8%
[ 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1393
99.8%
] 3
 
0.2%
Space Separator
ValueCountFrequency (%)
4046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52175
69.4%
Common 23050
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.8%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (184) 23062
44.2%
Common
ValueCountFrequency (%)
4046
17.6%
0 3485
15.1%
1 2900
12.6%
2 2797
12.1%
. 1891
8.2%
( 1399
 
6.1%
) 1393
 
6.0%
5 867
 
3.8%
3 737
 
3.2%
4 737
 
3.2%
Other values (21) 2798
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52142
69.3%
ASCII 23048
30.6%
Compat Jamo 33
 
< 0.1%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.9%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (183) 23029
44.2%
ASCII
ValueCountFrequency (%)
4046
17.6%
0 3485
15.1%
1 2900
12.6%
2 2797
12.1%
. 1891
8.2%
( 1399
 
6.1%
) 1393
 
6.0%
5 867
 
3.8%
3 737
 
3.2%
4 737
 
3.2%
Other values (19) 2796
12.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 33
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

법적근거
Text

Distinct512
Distinct (%)6.3%
Missing22
Missing (%)0.3%
Memory size64.1 KiB
2024-05-11T05:21:38.011100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length31
Mean length11.391938
Min length1

Characters and Unicode

Total characters92981
Distinct characters110
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)2.8%

Sample

1st row법 제37조 7항
2nd row법 제75조
3rd row법 제37조 7항
4th row법 제71조, 법 제72조 및 법 제75조
5th row법 제75조
ValueCountFrequency (%)
식품위생법 3844
19.2%
법 3676
18.4%
제75조 1829
 
9.1%
및 1103
 
5.5%
제58조 1087
 
5.4%
제71조 981
 
4.9%
공중위생관리법 405
 
2.0%
식품위생법제58조 383
 
1.9%
제101조제2항제1호 328
 
1.6%
제72조 320
 
1.6%
Other values (365) 6068
30.3%
2024-05-11T05:21:39.397483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11949
12.9%
제 11138
12.0%
조 9985
10.7%
법 9643
10.4%
1 5455
 
5.9%
위 5336
 
5.7%
7 5102
 
5.5%
생 5067
 
5.4%
식 4764
 
5.1%
품 4549
 
4.9%
Other values (100) 19993
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57410
61.7%
Decimal Number 22747
 
24.5%
Space Separator 11949
 
12.9%
Other Punctuation 805
 
0.9%
Close Punctuation 36
 
< 0.1%
Open Punctuation 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 11138
19.4%
조 9985
17.4%
법 9643
16.8%
위 5336
9.3%
생 5067
8.8%
식 4764
8.3%
품 4549
7.9%
항 1464
 
2.6%
및 1122
 
2.0%
호 812
 
1.4%
Other values (82) 3530
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 5455
24.0%
7 5102
22.4%
5 4301
18.9%
8 1984
 
8.7%
2 1770
 
7.8%
4 1237
 
5.4%
3 1219
 
5.4%
0 1085
 
4.8%
6 510
 
2.2%
9 84
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 783
97.3%
: 14
 
1.7%
？ 4
 
0.5%
. 2
 
0.2%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
11949
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57410
61.7%
Common 35571
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 11138
19.4%
조 9985
17.4%
법 9643
16.8%
위 5336
9.3%
생 5067
8.8%
식 4764
8.3%
품 4549
7.9%
항 1464
 
2.6%
및 1122
 
2.0%
호 812
 
1.4%
Other values (82) 3530
 
6.1%
Common
ValueCountFrequency (%)
11949
33.6%
1 5455
15.3%
7 5102
14.3%
5 4301
 
12.1%
8 1984
 
5.6%
2 1770
 
5.0%
4 1237
 
3.5%
3 1219
 
3.4%
0 1085
 
3.1%
, 783
 
2.2%
Other values (8) 686
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57409
61.7%
ASCII 35567
38.3%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11949
33.6%
1 5455
15.3%
7 5102
14.3%
5 4301
 
12.1%
8 1984
 
5.6%
2 1770
 
5.0%
4 1237
 
3.5%
3 1219
 
3.4%
0 1085
 
3.1%
, 783
 
2.2%
Other values (7) 682
 
1.9%
Hangul
ValueCountFrequency (%)
제 11138
19.4%
조 9985
17.4%
법 9643
16.8%
위 5336
9.3%
생 5067
8.8%
식 4764
8.3%
품 4549
7.9%
항 1464
 
2.6%
및 1122
 
2.0%
호 812
 
1.4%
Other values (81) 3529
 
6.1%
None
ValueCountFrequency (%)
？ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3065
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108185
Minimum20000823
Maximum20810113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size72.1 KiB
2024-05-11T05:21:39.955398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000823
5-th percentile20020925
Q120051121
median20110308
Q320151111
95-th percentile20210424
Maximum20810113
Range809290
Interquartile range (IQR)99990

Descriptive statistics

Standard deviation59805.124
Coefficient of variation (CV)0.0029741682
Kurtosis1.299658
Mean20108185
Median Absolute Deviation (MAD)50094
Skewness0.41023805
Sum1.6456539 × 1011
Variance3.5766529 × 109
MonotonicityNot monotonic
2024-05-11T05:21:40.600032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050203 294
 
3.6%
20060214 125
 
1.5%
20151111 87
 
1.1%
20230101 62
 
0.8%
20140101 48
 
0.6%
20051121 48
 
0.6%
20120101 46
 
0.6%
20190101 41
 
0.5%
20090817 41
 
0.5%
20150518 36
 
0.4%
Other values (3055) 7356
89.9%
ValueCountFrequency (%)
20000823 1
< 0.1%
20000905 1
< 0.1%
20001011 1
< 0.1%
20010116 1
< 0.1%
20010121 1
< 0.1%
20010303 1
< 0.1%
20010406 1
< 0.1%
20010601 1
< 0.1%
20010626 1
< 0.1%
20010726 2
< 0.1%
ValueCountFrequency (%)
20810113 1
< 0.1%
20240214 1
< 0.1%
20240207 1
< 0.1%
20240201 1
< 0.1%
20240126 2
< 0.1%
20240123 1
< 0.1%
20240118 1
< 0.1%
20240111 1
< 0.1%
20240104 1
< 0.1%
20231230 1
< 0.1%

위반내용
Text

Distinct2734
Distinct (%)33.4%
Missing2
Missing (%)< 0.1%
Memory size64.1 KiB
2024-05-11T05:21:41.519332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length404
Median length233
Mean length20.013322
Min length1

Characters and Unicode

Total characters163749
Distinct characters685
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1735 ?
Unique (%)21.2%

Sample

1st row사업자 등록 폐업(2016.8.17.자) 후 영업소 폐업신고 미이행
2nd row청소년 주류 제공(1차)
3rd row사업자 등록 폐업(2023.8.4.자) 후 영업소 폐업신고 미이행
4th row이물(곰팡이류) 혼입(1차)
5th row청소년 주류 제공(1차) - 위반일시: 2023.12.27. 1:00경 - 위반자: 이진숙
ValueCountFrequency (%)
영업시설물 734
 
2.2%
위생교육 615
 
1.9%
주류제공 609
 
1.9%
철거 592
 
1.8%
청소년에게 567
 
1.7%
미필 540
 
1.7%
및 538
 
1.6%
전부철거 461
 
1.4%
437
 
1.3%
전부를 425
 
1.3%
Other values (4682) 27105
83.1%
2024-05-11T05:21:43.128734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26022
 
15.9%
업 5392
 
3.3%
1 4240
 
2.6%
2 4086
 
2.5%
0 4026
 
2.5%
영 3567
 
2.2%
. 3177
 
1.9%
위 3164
 
1.9%
) 2430
 
1.5%
( 2397
 
1.5%
Other values (675) 105248
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109567
66.9%
Space Separator 26022
 
15.9%
Decimal Number 17332
 
10.6%
Other Punctuation 5166
 
3.2%
Close Punctuation 2527
 
1.5%
Open Punctuation 2495
 
1.5%
Dash Punctuation 297
 
0.2%
Uppercase Letter 133
 
0.1%
Lowercase Letter 87
 
0.1%
Math Symbol 47
 
< 0.1%
Other values (4) 76
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5392
 
4.9%
영 3567
 
3.3%
위 3164
 
2.9%
미 2375
 
2.2%
시 2328
 
2.1%
소 2260
 
2.1%
제 1987
 
1.8%
년 1959
 
1.8%
설 1909
 
1.7%
이 1863
 
1.7%
Other values (592) 82763
75.5%
Uppercase Letter
ValueCountFrequency (%)
C 27
20.3%
A 18
13.5%
P 17
12.8%
O 11
8.3%
H 9
 
6.8%
K 8
 
6.0%
B 7
 
5.3%
S 6
 
4.5%
I 5
 
3.8%
G 5
 
3.8%
Other values (9) 20
15.0%
Lowercase Letter
ValueCountFrequency (%)
m 26
29.9%
g 18
20.7%
c 9
 
10.3%
e 7
 
8.0%
w 6
 
6.9%
l 4
 
4.6%
i 3
 
3.4%
o 3
 
3.4%
n 2
 
2.3%
f 2
 
2.3%
Other values (5) 7
 
8.0%
Other Punctuation
ValueCountFrequency (%)
. 3177
61.5%
: 1016
 
19.7%
, 508
 
9.8%
/ 218
 
4.2%
* 139
 
2.7%
※ 26
 
0.5%
？ 25
 
0.5%
% 21
 
0.4%
' 20
 
0.4%
# 6
 
0.1%
Other values (3) 10
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 4240
24.5%
2 4086
23.6%
0 4026
23.2%
3 1180
 
6.8%
4 888
 
5.1%
5 752
 
4.3%
6 677
 
3.9%
8 558
 
3.2%
7 521
 
3.0%
9 404
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 2430
96.2%
] 92
 
3.6%
〕 3
 
0.1%
」 1
 
< 0.1%
} 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 43
91.5%
< 1
 
2.1%
> 1
 
2.1%
⇒ 1
 
2.1%
× 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 2397
96.1%
[ 96
 
3.8%
「 1
 
< 0.1%
{ 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 17
56.7%
☞ 8
26.7%
㈜ 3
 
10.0%
○ 2
 
6.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 20
90.9%
“ 2
 
9.1%
Final Punctuation
ValueCountFrequency (%)
’ 14
87.5%
” 2
 
12.5%
Other Number
ValueCountFrequency (%)
① 4
50.0%
② 4
50.0%
Space Separator
ValueCountFrequency (%)
26022
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 297
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109570
66.9%
Common 53961
33.0%
Latin 218
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5392
 
4.9%
영 3567
 
3.3%
위 3164
 
2.9%
미 2375
 
2.2%
시 2328
 
2.1%
소 2260
 
2.1%
제 1987
 
1.8%
년 1959
 
1.8%
설 1909
 
1.7%
이 1863
 
1.7%
Other values (593) 82766
75.5%
Common
ValueCountFrequency (%)
26022
48.2%
1 4240
 
7.9%
2 4086
 
7.6%
0 4026
 
7.5%
. 3177
 
5.9%
) 2430
 
4.5%
( 2397
 
4.4%
3 1180
 
2.2%
: 1016
 
1.9%
4 888
 
1.6%
Other values (39) 4499
 
8.3%
Latin
ValueCountFrequency (%)
C 27
 
12.4%
m 26
 
11.9%
A 18
 
8.3%
g 18
 
8.3%
P 17
 
7.8%
O 11
 
5.0%
c 9
 
4.1%
H 9
 
4.1%
K 8
 
3.7%
B 7
 
3.2%
Other values (23) 68
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109559
66.9%
ASCII 54046
33.0%
Punctuation 64
 
< 0.1%
None 34
 
< 0.1%
CJK Compat 17
 
< 0.1%
Misc Symbols 8
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Enclosed Alphanum 8
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26022
48.1%
1 4240
 
7.8%
2 4086
 
7.6%
0 4026
 
7.4%
. 3177
 
5.9%
) 2430
 
4.5%
( 2397
 
4.4%
3 1180
 
2.2%
: 1016
 
1.9%
4 888
 
1.6%
Other values (55) 4584
 
8.5%
Hangul
ValueCountFrequency (%)
업 5392
 
4.9%
영 3567
 
3.3%
위 3164
 
2.9%
미 2375
 
2.2%
시 2328
 
2.1%
소 2260
 
2.1%
제 1987
 
1.8%
년 1959
 
1.8%
설 1909
 
1.7%
이 1863
 
1.7%
Other values (590) 82755
75.5%
Punctuation
ValueCountFrequency (%)
※ 26
40.6%
‘ 20
31.2%
’ 14
21.9%
“ 2
 
3.1%
” 2
 
3.1%
None
ValueCountFrequency (%)
？ 25
73.5%
㈜ 3
 
8.8%
〕 3
 
8.8%
」 1
 
2.9%
「 1
 
2.9%
× 1
 
2.9%
CJK Compat
ValueCountFrequency (%)
㎡ 17
100.0%
Misc Symbols
ValueCountFrequency (%)
☞ 8
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
75.0%
ㅈ 2
 
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 4
50.0%
② 4
50.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 2
100.0%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%

처분내용
Text

Distinct1187
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size64.1 KiB
2024-05-11T05:21:44.088348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length118
Mean length9.1917155
Min length2

Characters and Unicode

Total characters75225
Distinct characters225
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)8.9%

Sample

1st row직권말소
2nd row과징금부과
3rd row직권말소
4th row시정명령
5th row영업정지
ValueCountFrequency (%)
영업정지 1428
 
11.7%
영업소폐쇄 1403
 
11.5%
시정명령 1121
 
9.2%
과태료부과 947
 
7.8%
부과 343
 
2.8%
과태료 325
 
2.7%
직권말소 301
 
2.5%
및 293
 
2.4%
시설개수명령 275
 
2.3%
과징금부과 265
 
2.2%
Other values (1274) 5514
45.1%
2024-05-11T05:21:45.671374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4807
 
6.4%
4046
 
5.4%
업 3997
 
5.3%
영 3963
 
5.3%
정 3878
 
5.2%
0 3485
 
4.6%
1 2900
 
3.9%
2 2797
 
3.7%
지 2528
 
3.4%
부 2381
 
3.2%
Other values (215) 40443
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52175
69.4%
Decimal Number 13229
 
17.6%
Space Separator 4046
 
5.4%
Other Punctuation 2444
 
3.2%
Open Punctuation 1402
 
1.9%
Close Punctuation 1396
 
1.9%
Math Symbol 358
 
0.5%
Dash Punctuation 174
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.8%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (184) 23062
44.2%
Decimal Number
ValueCountFrequency (%)
0 3485
26.3%
1 2900
21.9%
2 2797
21.1%
5 867
 
6.6%
3 737
 
5.6%
4 737
 
5.6%
6 712
 
5.4%
8 380
 
2.9%
7 370
 
2.8%
9 244
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 1891
77.4%
, 238
 
9.7%
% 156
 
6.4%
/ 52
 
2.1%
' 50
 
2.0%
: 37
 
1.5%
* 17
 
0.7%
; 2
 
0.1%
？ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 338
94.4%
< 9
 
2.5%
> 9
 
2.5%
→ 1
 
0.3%
+ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1399
99.8%
[ 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1393
99.8%
] 3
 
0.2%
Space Separator
ValueCountFrequency (%)
4046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52175
69.4%
Common 23050
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.8%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (184) 23062
44.2%
Common
ValueCountFrequency (%)
4046
17.6%
0 3485
15.1%
1 2900
12.6%
2 2797
12.1%
. 1891
8.2%
( 1399
 
6.1%
) 1393
 
6.0%
5 867
 
3.8%
3 737
 
3.2%
4 737
 
3.2%
Other values (21) 2798
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52142
69.3%
ASCII 23048
30.6%
Compat Jamo 33
 
< 0.1%
Arrows 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4807
 
9.2%
업 3997
 
7.7%
영 3963
 
7.6%
정 3878
 
7.4%
지 2528
 
4.8%
부 2381
 
4.6%
소 2008
 
3.9%
시 1919
 
3.7%
명 1817
 
3.5%
령 1815
 
3.5%
Other values (183) 23029
44.2%
ASCII
ValueCountFrequency (%)
4046
17.6%
0 3485
15.1%
1 2900
12.6%
2 2797
12.1%
. 1891
8.2%
( 1399
 
6.1%
) 1393
 
6.0%
5 867
 
3.8%
3 737
 
3.2%
4 737
 
3.2%
Other values (19) 2796
12.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 33
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)2.6%
Missing7362
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean12.821168
Minimum0
Maximum30
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size72.1 KiB
2024-05-11T05:21:46.262177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q315
95-th percentile17.95
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6542728
Coefficient of variation (CV)0.36301473
Kurtosis0.98220328
Mean12.821168
Median Absolute Deviation (MAD)0
Skewness-0.22565188
Sum10539
Variance21.662255
MonotonicityNot monotonic
2024-05-11T05:21:46.648352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15 465
 
5.7%
7 131
 
1.6%
10 73
 
0.9%
17 29
 
0.4%
5 27
 
0.3%
13 18
 
0.2%
20 17
 
0.2%
2 11
 
0.1%
3 10
 
0.1%
0 6
 
0.1%
Other values (11) 35
 
0.4%
(Missing) 7362
90.0%
ValueCountFrequency (%)
0 6
 
0.1%
1 2
 
< 0.1%
2 11
 
0.1%
3 10
 
0.1%
4 2
 
< 0.1%
5 27
 
0.3%
6 4
 
< 0.1%
7 131
1.6%
10 73
0.9%
11 2
 
< 0.1%
ValueCountFrequency (%)
30 2
 
< 0.1%
29 6
 
0.1%
25 3
 
< 0.1%
23 4
 
< 0.1%
22 5
 
0.1%
21 2
 
< 0.1%
20 17
 
0.2%
18 3
 
< 0.1%
17 29
 
0.4%
15 465
5.7%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct1834
Distinct (%)44.4%
Missing4049
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean151.19164
Minimum0
Maximum18785.3
Zeros38
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size72.1 KiB
2024-05-11T05:21:47.054068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.52
Q128.88
median60
Q3110.46
95-th percentile545.74
Maximum18785.3
Range18785.3
Interquartile range (IQR)81.58

Descriptive statistics

Standard deviation481.37758
Coefficient of variation (CV)3.1838901
Kurtosis585.80367
Mean151.19164
Median Absolute Deviation (MAD)34.35
Skewness18.324083
Sum625177.45
Variance231724.38
MonotonicityNot monotonic
2024-05-11T05:21:47.713136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 42
 
0.5%
0.0 38
 
0.5%
66.0 32
 
0.4%
25.0 24
 
0.3%
42.9 21
 
0.3%
49.5 20
 
0.2%
26.4 19
 
0.2%
44.4 18
 
0.2%
50.0 18
 
0.2%
30.0 15
 
0.2%
Other values (1824) 3888
47.5%
(Missing) 4049
49.5%
ValueCountFrequency (%)
0.0 38
0.5%
2.0 2
 
< 0.1%
2.5 2
 
< 0.1%
3.4 1
 
< 0.1%
3.78 3
 
< 0.1%
4.7 4
 
< 0.1%
5.0 2
 
< 0.1%
6.0 1
 
< 0.1%
6.6 5
 
0.1%
6.8 1
 
< 0.1%
ValueCountFrequency (%)
18785.3 1
 
< 0.1%
8760.0 1
 
< 0.1%
5160.99 2
 
< 0.1%
4881.25 1
 
< 0.1%
4351.0 1
 
< 0.1%
3529.0 1
 
< 0.1%
3496.52 7
0.1%
3329.0 1
 
< 0.1%
2997.64 1
 
< 0.1%
2984.57 4
< 0.1%

Interactions

2024-05-11T05:21:16.487579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:08.536008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:10.777735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:12.640035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:14.788821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:16.779253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:09.061458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:11.158894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:13.066888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:15.155650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:17.096864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:09.471397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:11.499242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:13.414624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:15.457601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:17.368932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:09.918571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:11.840950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:13.919900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:15.858558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:17.750542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:10.328016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:12.274076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:14.364551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:16.187776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T05:21:48.025527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4450.5710.9890.8760.7040.120
업종명0.4451.0000.9980.4490.3830.6940.593
업태명0.5710.9981.0000.5860.5020.7870.837
지도점검일자0.9890.4490.5861.0000.9010.6460.085
위반일자0.8760.3830.5020.9011.0000.4890.019
처분기간0.7040.6940.7870.6460.4891.0000.052
영업장면적(㎡)0.1200.5930.8370.0850.0190.0521.000
2024-05-11T05:21:48.495827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.998-0.2490.0070.172
지도점검일자0.9991.0000.998-0.2500.0050.173
위반일자0.9980.9981.000-0.2490.0070.190
처분기간-0.249-0.250-0.2491.000-0.0280.314
영업장면적(㎡)0.0070.0050.007-0.0281.0000.328
업종명0.1720.1730.1900.3140.3281.000

Missing values

2024-05-11T05:21:18.359154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T05:21:19.197622image/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.
2024-05-11T05:21:19.784395image/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(㎡)
030600002024032620140046689휴게음식점일반조리판매왕가호떡.술빵서울특별시 중랑구 신내로 201, 1층 (신내동)서울특별시 중랑구 신내동 645번지 지상1층20240311처분확정직권말소법 제37조 7항20160817사업자 등록 폐업(2016.8.17.자) 후 영업소 폐업신고 미이행직권말소<NA><NA>
130600002024031919980046553일반음식점호프/통닭황금마차서울특별시 중랑구 중랑역로 154, (묵동)서울특별시 중랑구 묵동 245번지 70호20231229처분확정과징금부과법 제75조20231229청소년 주류 제공(1차)과징금부과<NA>16.2
230600002024030520220054292일반음식점정종/대포집/소주방소주방서울특별시 중랑구 용마산로115길 86, 지하1층 (망우동)서울특별시 중랑구 망우동 490번지 12호20240126처분확정직권말소법 제37조 7항20230804사업자 등록 폐업(2023.8.4.자) 후 영업소 폐업신고 미이행직권말소<NA><NA>
330600002024030520210046927일반음식점한식광수육회 상봉점서울특별시 중랑구 망우로 198-14, 1층 (상봉동)서울특별시 중랑구 상봉동 130번지 110호20240214처분확정시정명령법 제71조, 법 제72조 및 법 제75조20240214이물(곰팡이류) 혼입(1차)시정명령<NA><NA>
430600002024030420150046569일반음식점한식삼촌국밥서울특별시 중랑구 용마산로 468, (망우동)서울특별시 중랑구 망우동 444번지 5호 1층20231227처분확정영업정지법 제75조20231227청소년 주류 제공(1차) - 위반일시: 2023.12.27. 1:00경 - 위반자: 이진숙영업정지<NA><NA>
530600002024022720220054978일반음식점호프/통닭동원사거리점 비비큐서울특별시 중랑구 겸재로 240, 지상 1층 105호 (면목동, 행복오피스텔)서울특별시 중랑구 면목동 1546번지 행복오피스텔20240126처분확정총 과태료 25만원 부과(즉시 시정하여 1/2 감경)법 제101조제3항제1호20240126영업자 건강진단 미필(유효기간 경과)총 과태료 25만원 부과(즉시 시정하여 1/2 감경)<NA><NA>
630600002024022720220054978일반음식점호프/통닭동원사거리점 비비큐서울특별시 중랑구 겸재로 240, 지상 1층 105호 (면목동, 행복오피스텔)서울특별시 중랑구 면목동 1546번지 행복오피스텔20240126처분확정총 과태료 25만원 부과(즉시 시정하여 1/2 감경)법 제101조제3항제1호20240126건강진단을 받지 않은 자를 영업에 종사시킨 영업자(1차) - 종업원 총 1명 중 1명 건강진단 미필총 과태료 25만원 부과(즉시 시정하여 1/2 감경)<NA><NA>
730600002024022720210046259일반음식점중국식금화성서울특별시 중랑구 겸재로27길 81, 1층 (면목동)서울특별시 중랑구 면목동 131번지 53호 1층20240207처분확정시정명령법 제71조, 법 제72조 및 법 제75조20240207이물(머리카락) 혼입(1차)시정명령<NA><NA>
830600002024022720220054767일반음식점기타울란바토르서울특별시 중랑구 봉우재로33길 14, 2층 (상봉동)서울특별시 중랑구 상봉동 106번지 30호20230123처분확정과징금부과법 제71조 및 법 제75조20230123일반음식점 영업자가 음향 및 반주시설을 갖추고 손님이 노래를 부르도록 허용(1차)과징금부과<NA><NA>
930600002024022220200046612일반음식점한식하동우렁추어탕 먹골점서울특별시 중랑구 동일로 897, NIKE FASCIA (묵동)서울특별시 중랑구 묵동 239번지 77호 NIKE FASCIA20240201처분확정영업정지 1개월 갈음 과징금 23,400,000원 부과법 제71조 및 법 제75조20240201유통기한 경과식품(초피가루-2022.6.3.까지) 판매한 경우(1차)영업정지 1개월 갈음 과징금 23,400,000원 부과<NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
817430600002001100919990046108일반음식점분식레벤광장<NA>서울특별시 중랑구 중화동 312번지 1호20010919처분확정영업소폐쇄식위법 제58조20010920시설물멸실영업소폐쇄<NA>84.68
817530600002001100902600410700015숙박업(일반)여인숙업봉산<NA>서울특별시 중랑구 망우동 564번지 3호20010821처분확정영업정지공중위생관립법제11조 1항20011009윤락행위알선및 장소제공영업정지<NA>41.34
817630600002001100819970046031일반음식점경양식시나브로서울특별시 중랑구 봉화산로 236, (신내동)서울특별시 중랑구 신내동 393번지 5호20010831처분확정영업정지 2월식위법 제31조20010831청소년주류제공영업정지 2월<NA>81.9
817730600002001100819990047494일반음식점한식길손서울특별시 중랑구 중랑천로 70, (면목동)서울특별시 중랑구 면목동 186번지 61호20010905처분확정영업소폐쇄식위법 제31조20010905청소년을 유흥접객원으로 고용영업소폐쇄<NA>83.68
817830600002001100419870046216일반음식점분식좋은하루<NA>서울특별시 중랑구 면목동 611번지 2호20010906처분확정영업정지 2월식위법 제31조20010906청소년주류제공영업정지 2월<NA>79.2
817930600002001100419950046363단란주점단란주점벤츠서울특별시 중랑구 봉우재로 103, (상봉동)서울특별시 중랑구 상봉동 109번지 29호20010825처분확정영업정지3월(2001.10.11-2002.1.10)식위법제31조20010825유흥접객원고용영업정지3월(2001.10.11-2002.1.10)<NA>133.4
818030600002001100420010046301일반음식점분식여왕벌서울특별시 중랑구 겸재로 210, (면목동)서울특별시 중랑구 면목동 104번지 4호20010905처분확정영업소폐쇄식위법제55조20010905영업정지처분기간중 영업영업소폐쇄<NA><NA>
818130600002001100419950046324단란주점단란주점맨하탄서울특별시 중랑구 중랑천로 45, (면목동)서울특별시 중랑구 면목동 190번지 102호20010625처분확정영업정지3월(2001.10.11-2002.1.10)식위법제31조20010626유흥접객원고용영업정지3월(2001.10.11-2002.1.10)<NA>71.18
818230600002001100419950046216일반음식점분식초우<NA>서울특별시 중랑구 상봉동 136번지 27호20010823처분확정영업정지3월(2001.10.11-2002.1.25) 및 시설개수명령식위법제31조20010823유흥접객행위조장묵인, 음향반주시설 갖추고 노래허용영업정지3월(2001.10.11-2002.1.25) 및 시설개수명령1535.7
818330600002001092819960046999단란주점단란주점모모영상주점서울특별시 중랑구 중랑역로 213, (묵동)서울특별시 중랑구 묵동 237번지 126호20010924처분확정시정명령식위법제22조20010924비상구유도등 미점등시정명령<NA>56.4

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
8630600002005061420010046668일반음식점회집섬마을구이전문점서울특별시 중랑구 중랑역로 48, (중화동)서울특별시 중랑구 중화동 300번지 47호20050225처분확정과징금부과식품위생법제58조20050225청소년주료제공 행위(1차)과징금부과<NA>44.46
8930600002005061420010046668일반음식점회집섬마을구이전문점서울특별시 중랑구 중랑역로 48, (중화동)서울특별시 중랑구 중화동 300번지 47호20050225처분확정영업정지1월('05.5.9-'05.6.8) 기집행식품위생법제58조20050225청소년주료제공 행위(1차)영업정지1월('05.5.9-'05.6.8) 기집행<NA>44.46
21530600002012020120070046571일반음식점기타크리스탈 대게타운서울특별시 중랑구 면목로37길 5, (면목동)서울특별시 중랑구 면목동 632번지 1호20111219처분확정처분불가식품위생법 제75조20111219영업시설의 전부를 철거처분불가<NA><NA>4
26130600002013030419960046438일반음식점통닭(치킨)치킨마루서울특별시 중랑구 면목로28길 27, (면목동)서울특별시 중랑구 면목동 371번지 134호20130313처분확정영업소폐쇄식품위생법 제36조, 37조20121212시설물멸실영업소폐쇄<NA>65.854
31530600002015062220080046029식품등 수입판매업식품등 수입판매업(주)솔시드서울특별시 중랑구 동일로169길 9, 3층 (묵동)서울특별시 중랑구 묵동 238번지 55호 지상3층20150102처분확정과태료부과20만원법 제101조제2항제1호201505182014 기존영업자 식품위생교육 미수료과태료부과20만원<NA><NA>4
34030600002016040520020046951즉석판매제조가공업즉석판매제조가공업종합축산물도매센타서울특별시 중랑구 면목로74길 13, (면목동)서울특별시 중랑구 면목동 101번지 12호20160310처분확정영업소폐쇄법 제71조, 법 제72조 및 법 제75조20160310영업시설의 전부를 철거한 경우 (위반일: 2016.3.10.)영업소폐쇄<NA><NA>4
38130600002019073120110046293일반음식점한식현미식당서울특별시 중랑구 면목로 255, (면목동,1층)서울특별시 중랑구 면목동 372번지 3호 1층20190711처분확정과태료부과법 제101조제2항제1호20190711식품위생법위반 (위생모 미착용) 과태료과태료부과<NA><NA>4
38430600002019092020090046136휴게음식점커피숍맨시니스(Mancinis)서울특별시 중랑구 봉화산로 190, (신내동,관상복합청사 102호중일부(103호))서울특별시 중랑구 신내동 665번지 관상복합청사 102호중일부(103호)20190101처분확정과태료부과법 제101조제2항제1호201901012018년도 기존영업자 위생교육 미수료과태료부과<NA><NA>4
38830600002019101120020046269일반음식점한식호반닭갈비막국수서울특별시 중랑구 봉화산로 20, (중화동)서울특별시 중랑구 중화동 313번지 1호20190919처분확정과태료부과법 제101조제2항제1호20190919위생모 미착용과태료부과<NA><NA>4
3943060000202007070146숙박업(일반)여관업이스트파크서울특별시 중랑구 면목로96길 52, (상봉동)서울특별시 중랑구 상봉동 90번지 26호20200517처분확정영업정지1월 갈음 과징금(282,000원) 부과법 제11조제1항제8호20200517청소년 이성혼숙(1차)영업정지1월 갈음 과징금(282,000원) 부과<NA>438.94