Overview

Dataset statistics

Number of variables17
Number of observations6784
Missing cells12902
Missing cells (%)11.2%
Duplicate rows248
Duplicate rows (%)3.7%
Total size in memory940.9 KiB
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(㎡)
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-10918/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 248 (3.7%) 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
영업장면적(㎡) is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 영업장면적(㎡)High correlation
업종명 is highly imbalanced (52.7%)Imbalance
소재지도로명 has 3114 (45.9%) missing valuesMissing
법적근거 has 107 (1.6%) missing valuesMissing
처분기간 has 6077 (89.6%) missing valuesMissing
영업장면적(㎡) has 3531 (52.0%) missing valuesMissing
위반일자 is highly skewed (γ1 = -48.90449863)Skewed
영업장면적(㎡) is highly skewed (γ1 = 53.27677172)Skewed

Reproduction

Analysis started2024-05-18 03:25:45.664095
Analysis finished2024-05-18 03:26:04.573623
Duration18.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
3080000
6784 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 6784
100.0%

Length

2024-05-18T12:26:04.842121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:05.317985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 6784
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2266
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108353
Minimum19860330
Maximum20700714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.8 KiB
2024-05-18T12:26:05.748408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860330
5-th percentile20010928
Q120040302
median20110322
Q320170421
95-th percentile20230317
Maximum20700714
Range840384
Interquartile range (IQR)130119

Descriptive statistics

Standard deviation72435.495
Coefficient of variation (CV)0.003602259
Kurtosis-0.47780303
Mean20108353
Median Absolute Deviation (MAD)69092
Skewness0.11293166
Sum1.3641507 × 1011
Variance5.246901 × 109
MonotonicityNot monotonic
2024-05-18T12:26:06.342277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231012 88
 
1.3%
20200707 66
 
1.0%
20211221 60
 
0.9%
20170317 52
 
0.8%
20030203 51
 
0.8%
20231106 47
 
0.7%
20091230 40
 
0.6%
20160428 39
 
0.6%
20211224 33
 
0.5%
20211202 28
 
0.4%
Other values (2256) 6280
92.6%
ValueCountFrequency (%)
19860330 2
< 0.1%
19880204 1
< 0.1%
19890309 1
< 0.1%
19890907 1
< 0.1%
19891014 1
< 0.1%
19910204 2
< 0.1%
19910628 1
< 0.1%
19910701 2
< 0.1%
19910906 1
< 0.1%
19911231 2
< 0.1%
ValueCountFrequency (%)
20700714 1
 
< 0.1%
20240502 1
 
< 0.1%
20240430 1
 
< 0.1%
20240429 1
 
< 0.1%
20240416 4
0.1%
20240409 1
 
< 0.1%
20240402 6
0.1%
20240401 3
< 0.1%
20240329 1
 
< 0.1%
20240315 1
 
< 0.1%

교부번호
Text

Distinct3475
Distinct (%)51.2%
Missing3
Missing (%)< 0.1%
Memory size53.1 KiB
2024-05-18T12:26:07.133073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.401121
Min length2

Characters and Unicode

Total characters70530
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2097 ?
Unique (%)30.9%

Sample

1st row234
2nd row223
3rd row017
4th row017
5th row083
ValueCountFrequency (%)
19990054036 30
 
0.4%
19860053075 30
 
0.4%
19990054315 24
 
0.4%
20060053554 24
 
0.4%
19770053023 18
 
0.3%
19800053016 16
 
0.2%
19960053342 16
 
0.2%
19930053580 16
 
0.2%
20000053936 16
 
0.2%
20210036169 15
 
0.2%
Other values (3465) 6576
97.0%
2024-05-18T12:26:08.134163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23203
32.9%
5 8705
 
12.3%
3 8604
 
12.2%
2 6908
 
9.8%
1 6654
 
9.4%
9 6172
 
8.8%
4 2741
 
3.9%
6 2586
 
3.7%
8 2346
 
3.3%
7 2312
 
3.3%
Other values (7) 299
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70231
99.6%
Dash Punctuation 155
 
0.2%
Other Letter 144
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23203
33.0%
5 8705
 
12.4%
3 8604
 
12.3%
2 6908
 
9.8%
1 6654
 
9.5%
9 6172
 
8.8%
4 2741
 
3.9%
6 2586
 
3.7%
8 2346
 
3.3%
7 2312
 
3.3%
Other Letter
ValueCountFrequency (%)
강 36
25.0%
북 36
25.0%
용 19
13.2%
역 19
13.2%
세 17
11.8%
탁 17
11.8%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70386
99.8%
Hangul 144
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23203
33.0%
5 8705
 
12.4%
3 8604
 
12.2%
2 6908
 
9.8%
1 6654
 
9.5%
9 6172
 
8.8%
4 2741
 
3.9%
6 2586
 
3.7%
8 2346
 
3.3%
7 2312
 
3.3%
Hangul
ValueCountFrequency (%)
강 36
25.0%
북 36
25.0%
용 19
13.2%
역 19
13.2%
세 17
11.8%
탁 17
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70386
99.8%
Hangul 144
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23203
33.0%
5 8705
 
12.4%
3 8604
 
12.2%
2 6908
 
9.8%
1 6654
 
9.5%
9 6172
 
8.8%
4 2741
 
3.9%
6 2586
 
3.7%
8 2346
 
3.3%
7 2312
 
3.3%
Hangul
ValueCountFrequency (%)
강 36
25.0%
북 36
25.0%
용 19
13.2%
역 19
13.2%
세 17
11.8%
탁 17
11.8%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct36
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
일반음식점
4096 
단란주점
544 
유흥주점영업
466 
숙박업(일반)
 
347
휴게음식점
 
223
Other values (31)
1108 

Length

Max length23
Median length5
Mean length5.3366745
Min length3

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
일반음식점 4096
60.4%
단란주점 544
 
8.0%
유흥주점영업 466
 
6.9%
숙박업(일반) 347
 
5.1%
휴게음식점 223
 
3.3%
즉석판매제조가공업 185
 
2.7%
식품제조가공업 172
 
2.5%
이용업 139
 
2.0%
일반미용업 86
 
1.3%
건강기능식품일반판매업 63
 
0.9%
Other values (26) 463
 
6.8%

Length

2024-05-18T12:26:08.593785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 4096
59.9%
단란주점 544
 
8.0%
유흥주점영업 466
 
6.8%
숙박업(일반 347
 
5.1%
휴게음식점 223
 
3.3%
즉석판매제조가공업 185
 
2.7%
식품제조가공업 172
 
2.5%
이용업 139
 
2.0%
일반미용업 96
 
1.4%
건강기능식품일반판매업 63
 
0.9%
Other values (21) 503
 
7.4%

업태명
Text

Distinct75
Distinct (%)1.1%
Missing4
Missing (%)0.1%
Memory size53.1 KiB
2024-05-18T12:26:09.140286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length3.8358407
Min length2

Characters and Unicode

Total characters26007
Distinct characters152
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

Unique6 ?
Unique (%)0.1%

Sample

1st row여관업
2nd row관광호텔
3rd row여관업
4th row여관업
5th row여관업
ValueCountFrequency (%)
한식 1712
25.0%
호프/통닭 836
12.2%
단란주점 544
 
7.9%
여관업 339
 
4.9%
분식 310
 
4.5%
기타 294
 
4.3%
룸살롱 274
 
4.0%
까페 268
 
3.9%
정종/대포집/소주방 193
 
2.8%
즉석판매제조가공업 185
 
2.7%
Other values (65) 1903
27.7%
2024-05-18T12:26:09.990784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 2736
 
10.5%
한 1713
 
6.6%
업 1406
 
5.4%
/ 1222
 
4.7%
통 989
 
3.8%
닭 924
 
3.6%
호 851
 
3.3%
프 836
 
3.2%
주 747
 
2.9%
점 673
 
2.6%
Other values (142) 13910
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24389
93.8%
Other Punctuation 1222
 
4.7%
Open Punctuation 158
 
0.6%
Close Punctuation 158
 
0.6%
Space Separator 78
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 2736
 
11.2%
한 1713
 
7.0%
업 1406
 
5.8%
통 989
 
4.1%
닭 924
 
3.8%
호 851
 
3.5%
프 836
 
3.4%
주 747
 
3.1%
점 673
 
2.8%
단 567
 
2.3%
Other values (137) 12947
53.1%
Other Punctuation
ValueCountFrequency (%)
/ 1222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24389
93.8%
Common 1618
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 2736
 
11.2%
한 1713
 
7.0%
업 1406
 
5.8%
통 989
 
4.1%
닭 924
 
3.8%
호 851
 
3.5%
프 836
 
3.4%
주 747
 
3.1%
점 673
 
2.8%
단 567
 
2.3%
Other values (137) 12947
53.1%
Common
ValueCountFrequency (%)
/ 1222
75.5%
( 158
 
9.8%
) 158
 
9.8%
78
 
4.8%
+ 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24389
93.8%
ASCII 1618
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 2736
 
11.2%
한 1713
 
7.0%
업 1406
 
5.8%
통 989
 
4.1%
닭 924
 
3.8%
호 851
 
3.5%
프 836
 
3.4%
주 747
 
3.1%
점 673
 
2.8%
단 567
 
2.3%
Other values (137) 12947
53.1%
ASCII
ValueCountFrequency (%)
/ 1222
75.5%
( 158
 
9.8%
) 158
 
9.8%
78
 
4.8%
+ 2
 
0.1%

업소명
Text

Distinct3614
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
2024-05-18T12:26:10.542227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length4.9756781
Min length1

Characters and Unicode

Total characters33755
Distinct characters891
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2236 ?
Unique (%)33.0%

Sample

1st row아람장
2nd row기장 아카데미하우스
3rd row신일장
4th row신일장
5th row화성
ValueCountFrequency (%)
수유점 45
 
0.6%
아리랑 32
 
0.4%
뷔쉬누 30
 
0.4%
투다리 25
 
0.3%
수유역점 25
 
0.3%
초요 24
 
0.3%
주식회사 23
 
0.3%
노래주점 22
 
0.3%
단란주점 21
 
0.3%
스캔들 21
 
0.3%
Other values (3890) 7537
96.6%
2024-05-18T12:26:11.582147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1021
 
3.0%
이 745
 
2.2%
점 639
 
1.9%
주 632
 
1.9%
리 615
 
1.8%
스 580
 
1.7%
수 418
 
1.2%
아 372
 
1.1%
유 350
 
1.0%
마 340
 
1.0%
Other values (881) 28043
83.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30637
90.8%
Space Separator 1021
 
3.0%
Uppercase Letter 482
 
1.4%
Lowercase Letter 411
 
1.2%
Decimal Number 359
 
1.1%
Open Punctuation 328
 
1.0%
Close Punctuation 328
 
1.0%
Other Punctuation 160
 
0.5%
Letter Number 24
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 745
 
2.4%
점 639
 
2.1%
주 632
 
2.1%
리 615
 
2.0%
스 580
 
1.9%
수 418
 
1.4%
아 372
 
1.2%
유 350
 
1.1%
마 340
 
1.1%
식 340
 
1.1%
Other values (803) 25606
83.6%
Uppercase Letter
ValueCountFrequency (%)
B 49
 
10.2%
O 37
 
7.7%
M 33
 
6.8%
C 31
 
6.4%
S 28
 
5.8%
L 28
 
5.8%
E 25
 
5.2%
T 23
 
4.8%
F 22
 
4.6%
K 21
 
4.4%
Other values (16) 185
38.4%
Lowercase Letter
ValueCountFrequency (%)
a 48
 
11.7%
e 45
 
10.9%
i 32
 
7.8%
p 29
 
7.1%
m 26
 
6.3%
l 24
 
5.8%
r 23
 
5.6%
o 22
 
5.4%
n 19
 
4.6%
c 17
 
4.1%
Other values (13) 126
30.7%
Other Punctuation
ValueCountFrequency (%)
. 61
38.1%
& 31
19.4%
, 18
 
11.2%
？ 18
 
11.2%
; 11
 
6.9%
? 8
 
5.0%
' 5
 
3.1%
/ 4
 
2.5%
! 2
 
1.2%
# 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 100
27.9%
0 62
17.3%
1 52
14.5%
5 33
 
9.2%
4 32
 
8.9%
3 20
 
5.6%
8 18
 
5.0%
9 18
 
5.0%
7 15
 
4.2%
6 9
 
2.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 17
70.8%
Ⅰ 7
29.2%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
1021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30623
90.7%
Common 2201
 
6.5%
Latin 917
 
2.7%
Han 10
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 745
 
2.4%
점 639
 
2.1%
주 632
 
2.1%
리 615
 
2.0%
스 580
 
1.9%
수 418
 
1.4%
아 372
 
1.2%
유 350
 
1.1%
마 340
 
1.1%
식 340
 
1.1%
Other values (795) 25592
83.6%
Latin
ValueCountFrequency (%)
B 49
 
5.3%
a 48
 
5.2%
e 45
 
4.9%
O 37
 
4.0%
M 33
 
3.6%
i 32
 
3.5%
C 31
 
3.4%
p 29
 
3.2%
S 28
 
3.1%
L 28
 
3.1%
Other values (41) 557
60.7%
Common
ValueCountFrequency (%)
1021
46.4%
( 328
 
14.9%
) 328
 
14.9%
2 100
 
4.5%
0 62
 
2.8%
. 61
 
2.8%
1 52
 
2.4%
5 33
 
1.5%
4 32
 
1.5%
& 31
 
1.4%
Other values (17) 153
 
7.0%
Han
ValueCountFrequency (%)
愛 4
40.0%
酒 2
20.0%
生 1
 
10.0%
美 1
 
10.0%
樂 1
 
10.0%
辛 1
 
10.0%
Katakana
ValueCountFrequency (%)
ネ 2
50.0%
タ 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30623
90.7%
ASCII 3075
 
9.1%
Number Forms 24
 
0.1%
None 19
 
0.1%
CJK 9
 
< 0.1%
Katakana 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1021
33.2%
( 328
 
10.7%
) 328
 
10.7%
2 100
 
3.3%
0 62
 
2.0%
. 61
 
2.0%
1 52
 
1.7%
B 49
 
1.6%
a 48
 
1.6%
e 45
 
1.5%
Other values (64) 981
31.9%
Hangul
ValueCountFrequency (%)
이 745
 
2.4%
점 639
 
2.1%
주 632
 
2.1%
리 615
 
2.0%
스 580
 
1.9%
수 418
 
1.4%
아 372
 
1.2%
유 350
 
1.1%
마 340
 
1.1%
식 340
 
1.1%
Other values (795) 25592
83.6%
None
ValueCountFrequency (%)
？ 18
94.7%
＆ 1
 
5.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 17
70.8%
Ⅰ 7
29.2%
CJK
ValueCountFrequency (%)
愛 4
44.4%
酒 2
22.2%
生 1
 
11.1%
美 1
 
11.1%
辛 1
 
11.1%
Katakana
ValueCountFrequency (%)
ネ 2
50.0%
タ 2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

소재지도로명
Text

MISSING 

Distinct1990
Distinct (%)54.2%
Missing3114
Missing (%)45.9%
Memory size53.1 KiB
2024-05-18T12:26:12.030389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length29.66376
Min length22

Characters and Unicode

Total characters108866
Distinct characters290
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

Unique1200 ?
Unique (%)32.7%

Sample

1st row서울특별시 강북구 삼양로181길 101, (우이동)
2nd row서울특별시 강북구 한천로 1319, (수유동)
3rd row서울특별시 강북구 솔샘로67길 137, (미아동,(큰마을길 69))
4th row서울특별시 강북구 솔샘로67길 137, (미아동)
5th row서울특별시 강북구 도봉로10나길 4, (미아동)
ValueCountFrequency (%)
서울특별시 3670
18.0%
강북구 3670
18.0%
수유동 1361
 
6.7%
미아동 965
 
4.7%
도봉로 388
 
1.9%
1층 383
 
1.9%
번동 311
 
1.5%
삼양로 256
 
1.3%
한천로 250
 
1.2%
덕릉로 145
 
0.7%
Other values (1523) 9025
44.2%
2024-05-18T12:26:12.877765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16757
 
15.4%
, 4901
 
4.5%
( 4636
 
4.3%
) 4633
 
4.3%
1 4444
 
4.1%
로 3830
 
3.5%
동 3769
 
3.5%
구 3708
 
3.4%
시 3702
 
3.4%
북 3695
 
3.4%
Other values (280) 54791
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60129
55.2%
Decimal Number 17218
 
15.8%
Space Separator 16757
 
15.4%
Other Punctuation 4966
 
4.6%
Open Punctuation 4636
 
4.3%
Close Punctuation 4633
 
4.3%
Dash Punctuation 470
 
0.4%
Uppercase Letter 43
 
< 0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3830
 
6.4%
동 3769
 
6.3%
구 3708
 
6.2%
시 3702
 
6.2%
북 3695
 
6.1%
서 3684
 
6.1%
강 3682
 
6.1%
울 3676
 
6.1%
특 3670
 
6.1%
별 3670
 
6.1%
Other values (252) 23043
38.3%
Decimal Number
ValueCountFrequency (%)
1 4444
25.8%
2 2280
13.2%
3 2019
11.7%
4 1430
 
8.3%
7 1407
 
8.2%
8 1240
 
7.2%
0 1206
 
7.0%
9 1144
 
6.6%
5 1035
 
6.0%
6 1013
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 20
46.5%
S 9
20.9%
K 8
 
18.6%
A 2
 
4.7%
C 2
 
4.7%
G 1
 
2.3%
D 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 4901
98.7%
. 63
 
1.3%
? 1
 
< 0.1%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
16757
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4636
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 470
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60129
55.2%
Common 48692
44.7%
Latin 45
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3830
 
6.4%
동 3769
 
6.3%
구 3708
 
6.2%
시 3702
 
6.2%
북 3695
 
6.1%
서 3684
 
6.1%
강 3682
 
6.1%
울 3676
 
6.1%
특 3670
 
6.1%
별 3670
 
6.1%
Other values (252) 23043
38.3%
Common
ValueCountFrequency (%)
16757
34.4%
, 4901
 
10.1%
( 4636
 
9.5%
) 4633
 
9.5%
1 4444
 
9.1%
2 2280
 
4.7%
3 2019
 
4.1%
4 1430
 
2.9%
7 1407
 
2.9%
8 1240
 
2.5%
Other values (9) 4945
 
10.2%
Latin
ValueCountFrequency (%)
B 20
44.4%
S 9
20.0%
K 8
 
17.8%
A 2
 
4.4%
C 2
 
4.4%
s 1
 
2.2%
k 1
 
2.2%
G 1
 
2.2%
D 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60129
55.2%
ASCII 48737
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16757
34.4%
, 4901
 
10.1%
( 4636
 
9.5%
) 4633
 
9.5%
1 4444
 
9.1%
2 2280
 
4.7%
3 2019
 
4.1%
4 1430
 
2.9%
7 1407
 
2.9%
8 1240
 
2.5%
Other values (18) 4990
 
10.2%
Hangul
ValueCountFrequency (%)
로 3830
 
6.4%
동 3769
 
6.3%
구 3708
 
6.2%
시 3702
 
6.2%
북 3695
 
6.1%
서 3684
 
6.1%
강 3682
 
6.1%
울 3676
 
6.1%
특 3670
 
6.1%
별 3670
 
6.1%
Other values (252) 23043
38.3%

소재지지번
Text

Distinct3090
Distinct (%)45.6%
Missing2
Missing (%)< 0.1%
Memory size53.1 KiB
2024-05-18T12:26:13.510731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length58
Mean length28.656149
Min length21

Characters and Unicode

Total characters194346
Distinct characters295
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1699 ?
Unique (%)25.1%

Sample

1st row서울특별시 강북구 우이동 224번지 7호
2nd row서울특별시 강북구 수유동 산 76번지 0호
3rd row서울특별시 강북구 미아동 316번지 1호 (큰마을길 69)
4th row서울특별시 강북구 미아동 316번지 1호
5th row서울특별시 강북구 미아동 55번지 58호
ValueCountFrequency (%)
서울특별시 6782
17.8%
강북구 6782
17.8%
수유동 3059
 
8.0%
미아동 2622
 
6.9%
번동 834
 
2.2%
1호 539
 
1.4%
지상1층 451
 
1.2%
191번지 312
 
0.8%
3호 289
 
0.8%
지하1층 276
 
0.7%
Other values (1644) 16152
42.4%
2024-05-18T12:26:14.422055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48808
25.1%
지 8257
 
4.2%
1 8126
 
4.2%
번 7639
 
3.9%
동 6884
 
3.5%
구 6851
 
3.5%
시 6825
 
3.5%
북 6817
 
3.5%
호 6803
 
3.5%
강 6803
 
3.5%
Other values (285) 80533
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104184
53.6%
Space Separator 48808
25.1%
Decimal Number 36684
 
18.9%
Open Punctuation 1991
 
1.0%
Close Punctuation 1988
 
1.0%
Dash Punctuation 324
 
0.2%
Other Punctuation 288
 
0.1%
Uppercase Letter 66
 
< 0.1%
Math Symbol 7
 
< 0.1%
Modifier Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8257
 
7.9%
번 7639
 
7.3%
동 6884
 
6.6%
구 6851
 
6.6%
시 6825
 
6.6%
북 6817
 
6.5%
호 6803
 
6.5%
강 6803
 
6.5%
서 6800
 
6.5%
울 6788
 
6.5%
Other values (256) 33717
32.4%
Decimal Number
ValueCountFrequency (%)
1 8126
22.2%
2 4888
13.3%
4 4101
11.2%
3 3548
9.7%
7 2947
 
8.0%
6 2936
 
8.0%
5 2908
 
7.9%
0 2505
 
6.8%
9 2428
 
6.6%
8 2297
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 28
42.4%
S 15
22.7%
K 14
21.2%
A 5
 
7.6%
C 2
 
3.0%
D 1
 
1.5%
G 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 210
72.9%
. 72
 
25.0%
@ 4
 
1.4%
/ 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
48808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1991
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104184
53.6%
Common 90094
46.4%
Latin 68
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8257
 
7.9%
번 7639
 
7.3%
동 6884
 
6.6%
구 6851
 
6.6%
시 6825
 
6.6%
북 6817
 
6.5%
호 6803
 
6.5%
강 6803
 
6.5%
서 6800
 
6.5%
울 6788
 
6.5%
Other values (256) 33717
32.4%
Common
ValueCountFrequency (%)
48808
54.2%
1 8126
 
9.0%
2 4888
 
5.4%
4 4101
 
4.6%
3 3548
 
3.9%
7 2947
 
3.3%
6 2936
 
3.3%
5 2908
 
3.2%
0 2505
 
2.8%
9 2428
 
2.7%
Other values (10) 6899
 
7.7%
Latin
ValueCountFrequency (%)
B 28
41.2%
S 15
22.1%
K 14
20.6%
A 5
 
7.4%
C 2
 
2.9%
s 1
 
1.5%
k 1
 
1.5%
D 1
 
1.5%
G 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104184
53.6%
ASCII 90162
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48808
54.1%
1 8126
 
9.0%
2 4888
 
5.4%
4 4101
 
4.5%
3 3548
 
3.9%
7 2947
 
3.3%
6 2936
 
3.3%
5 2908
 
3.2%
0 2505
 
2.8%
9 2428
 
2.7%
Other values (19) 6967
 
7.7%
Hangul
ValueCountFrequency (%)
지 8257
 
7.9%
번 7639
 
7.3%
동 6884
 
6.6%
구 6851
 
6.6%
시 6825
 
6.6%
북 6817
 
6.5%
호 6803
 
6.5%
강 6803
 
6.5%
서 6800
 
6.5%
울 6788
 
6.5%
Other values (256) 33717
32.4%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2734
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20107017
Minimum19860329
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.8 KiB
2024-05-18T12:26:14.835548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19860329
5-th percentile20010926
Q120040108
median20110106
Q320170208
95-th percentile20230117
Maximum20240318
Range379989
Interquartile range (IQR)130100

Descriptive statistics

Standard deviation71559.507
Coefficient of variation (CV)0.003558932
Kurtosis-1.0994561
Mean20107017
Median Absolute Deviation (MAD)61015.5
Skewness0.040495792
Sum1.3640601 × 1011
Variance5.1207631 × 109
MonotonicityNot monotonic
2024-05-18T12:26:15.299075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 127
 
1.9%
20230816 126
 
1.9%
20200101 66
 
1.0%
20170103 51
 
0.8%
20091211 40
 
0.6%
20160114 39
 
0.6%
20070413 35
 
0.5%
20230828 24
 
0.4%
20191231 23
 
0.3%
20231012 22
 
0.3%
Other values (2724) 6231
91.8%
ValueCountFrequency (%)
19860329 2
< 0.1%
19880204 1
< 0.1%
19890308 1
< 0.1%
19890906 1
< 0.1%
19891013 1
< 0.1%
19910204 2
< 0.1%
19910627 1
< 0.1%
19910629 2
< 0.1%
19910905 1
< 0.1%
19911230 2
< 0.1%
ValueCountFrequency (%)
20240318 1
 
< 0.1%
20240307 1
 
< 0.1%
20240305 1
 
< 0.1%
20240304 1
 
< 0.1%
20240222 1
 
< 0.1%
20240215 2
< 0.1%
20240207 1
 
< 0.1%
20240205 1
 
< 0.1%
20240202 1
 
< 0.1%
20240124 4
0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
처분확정
6784 

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 6784
100.0%

Length

2024-05-18T12:26:15.728773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:26:16.023948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 6784
100.0%

처분명
Text

Distinct1266
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
2024-05-18T12:26:16.450326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length72
Mean length10.375442
Min length2

Characters and Unicode

Total characters70387
Distinct characters295
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique868 ?
Unique (%)12.8%

Sample

1st row영업정지2월 갈음 과징금 180만원
2nd row경고 및 과태료 20만원 부과(자진납부 16만원)
3rd row과징금 부과
4th row영업정지
5th row영업정지(2003.9.29-10.28)
ValueCountFrequency (%)
과태료부과 1756
 
16.7%
영업정지 1358
 
12.9%
시정명령 692
 
6.6%
영업소폐쇄 659
 
6.3%
과징금부과 327
 
3.1%
및 315
 
3.0%
과징금 241
 
2.3%
부과 236
 
2.2%
과태료 209
 
2.0%
시설개수명령 194
 
1.8%
Other values (1467) 4508
43.0%
2024-05-18T12:26:17.524684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5746
 
8.2%
0 3794
 
5.4%
3729
 
5.3%
업 3559
 
5.1%
영 3375
 
4.8%
정 3213
 
4.6%
부 2864
 
4.1%
2 2803
 
4.0%
지 2497
 
3.5%
태 2256
 
3.2%
Other values (285) 36551
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49020
69.6%
Decimal Number 11636
 
16.5%
Space Separator 3729
 
5.3%
Other Punctuation 2553
 
3.6%
Open Punctuation 1370
 
1.9%
Close Punctuation 1363
 
1.9%
Math Symbol 428
 
0.6%
Dash Punctuation 284
 
0.4%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (257) 20436
41.7%
Decimal Number
ValueCountFrequency (%)
0 3794
32.6%
2 2803
24.1%
1 2224
19.1%
3 610
 
5.2%
5 584
 
5.0%
4 432
 
3.7%
8 331
 
2.8%
6 323
 
2.8%
7 295
 
2.5%
9 240
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1857
72.7%
, 469
 
18.4%
' 174
 
6.8%
/ 26
 
1.0%
: 21
 
0.8%
% 2
 
0.1%
? 2
 
0.1%
! 1
 
< 0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 284
66.4%
→ 141
32.9%
+ 3
 
0.7%
Space Separator
ValueCountFrequency (%)
3729
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49020
69.6%
Common 21365
30.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (257) 20436
41.7%
Common
ValueCountFrequency (%)
0 3794
17.8%
3729
17.5%
2 2803
13.1%
1 2224
10.4%
. 1857
8.7%
( 1370
 
6.4%
) 1363
 
6.4%
3 610
 
2.9%
5 584
 
2.7%
, 469
 
2.2%
Other values (17) 2562
12.0%
Latin
ValueCountFrequency (%)
v 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49007
69.6%
ASCII 21226
30.2%
Arrows 141
 
0.2%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (256) 20423
41.7%
ASCII
ValueCountFrequency (%)
0 3794
17.9%
3729
17.6%
2 2803
13.2%
1 2224
10.5%
. 1857
8.7%
( 1370
 
6.5%
) 1363
 
6.4%
3 610
 
2.9%
5 584
 
2.8%
, 469
 
2.2%
Other values (17) 2423
11.4%
Arrows
ValueCountFrequency (%)
→ 141
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

법적근거
Text

MISSING 

Distinct575
Distinct (%)8.6%
Missing107
Missing (%)1.6%
Memory size53.1 KiB
2024-05-18T12:26:17.982838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length12.771304
Min length1

Characters and Unicode

Total characters85274
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)4.0%

Sample

1st row공중위생관리법 제11조
2nd row공중위생관리법 제11조 및 같은법 제17조, 같은법 제22조
3rd row공중위생관리법 제11조 제1항
4th row법 제11조제1항
5th row공중위생관리법 제11조,동법시행ㄱ칙제19조
ValueCountFrequency (%)
법 2838
16.9%
식품위생법 2183
 
13.0%
및 1853
 
11.1%
제75조 1166
 
7.0%
제71조 657
 
3.9%
같은법 544
 
3.2%
공중위생관리법 425
 
2.5%
제101조제2항제1호 348
 
2.1%
식품위생법제31조 284
 
1.7%
제101조제4항1호 282
 
1.7%
Other values (399) 6167
36.8%
2024-05-18T12:26:18.828172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 10455
12.3%
10206
12.0%
법 8781
10.3%
조 8172
 
9.6%
1 6230
 
7.3%
위 4573
 
5.4%
생 4174
 
4.9%
식 4052
 
4.8%
품 3673
 
4.3%
7 3622
 
4.2%
Other values (115) 21336
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54228
63.6%
Decimal Number 20109
 
23.6%
Space Separator 10206
 
12.0%
Other Punctuation 704
 
0.8%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10455
19.3%
법 8781
16.2%
조 8172
15.1%
위 4573
8.4%
생 4174
 
7.7%
식 4052
 
7.5%
품 3673
 
6.8%
및 1887
 
3.5%
항 1821
 
3.4%
같 1237
 
2.3%
Other values (99) 5403
10.0%
Decimal Number
ValueCountFrequency (%)
1 6230
31.0%
7 3622
18.0%
5 2549
12.7%
2 1643
 
8.2%
4 1600
 
8.0%
0 1398
 
7.0%
8 1231
 
6.1%
3 1207
 
6.0%
6 549
 
2.7%
9 80
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 702
99.7%
. 2
 
0.3%
Space Separator
ValueCountFrequency (%)
10206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54228
63.6%
Common 31046
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10455
19.3%
법 8781
16.2%
조 8172
15.1%
위 4573
8.4%
생 4174
 
7.7%
식 4052
 
7.5%
품 3673
 
6.8%
및 1887
 
3.5%
항 1821
 
3.4%
같 1237
 
2.3%
Other values (99) 5403
10.0%
Common
ValueCountFrequency (%)
10206
32.9%
1 6230
20.1%
7 3622
 
11.7%
5 2549
 
8.2%
2 1643
 
5.3%
4 1600
 
5.2%
0 1398
 
4.5%
8 1231
 
4.0%
3 1207
 
3.9%
, 702
 
2.3%
Other values (6) 658
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54226
63.6%
ASCII 31046
36.4%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 10455
19.3%
법 8781
16.2%
조 8172
15.1%
위 4573
8.4%
생 4174
 
7.7%
식 4052
 
7.5%
품 3673
 
6.8%
및 1887
 
3.5%
항 1821
 
3.4%
같 1237
 
2.3%
Other values (97) 5401
10.0%
ASCII
ValueCountFrequency (%)
10206
32.9%
1 6230
20.1%
7 3622
 
11.7%
5 2549
 
8.2%
2 1643
 
5.3%
4 1600
 
5.2%
0 1398
 
4.5%
8 1231
 
4.0%
3 1207
 
3.9%
, 702
 
2.3%
Other values (6) 658
 
2.1%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㅈ 1
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2812
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099561
Minimum200402
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.8 KiB
2024-05-18T12:26:19.108389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200402
5-th percentile20010926
Q120031222
median20110106
Q320170149
95-th percentile20230101
Maximum20240318
Range20039916
Interquartile range (IQR)138927.25

Descriptive statistics

Standard deviation369730.37
Coefficient of variation (CV)0.018394948
Kurtosis2552.4647
Mean20099561
Median Absolute Deviation (MAD)61101.5
Skewness-48.904499
Sum1.3635542 × 1011
Variance1.3670055 × 1011
MonotonicityNot monotonic
2024-05-18T12:26:19.611437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 127
 
1.9%
20230816 126
 
1.9%
20200101 66
 
1.0%
20170103 51
 
0.8%
20160114 40
 
0.6%
20091211 39
 
0.6%
20070413 35
 
0.5%
20191231 24
 
0.4%
20230828 24
 
0.4%
20211115 22
 
0.3%
Other values (2802) 6230
91.8%
ValueCountFrequency (%)
200402 1
< 0.1%
200407 1
< 0.1%
10090916 1
< 0.1%
19860329 2
< 0.1%
19880204 1
< 0.1%
19890308 1
< 0.1%
19890906 1
< 0.1%
19891013 1
< 0.1%
19910204 2
< 0.1%
19910627 1
< 0.1%
ValueCountFrequency (%)
20240318 1
< 0.1%
20240307 1
< 0.1%
20240305 1
< 0.1%
20240304 1
< 0.1%
20240222 1
< 0.1%
20240215 2
< 0.1%
20240207 1
< 0.1%
20240205 1
< 0.1%
20240202 1
< 0.1%
20240124 1
< 0.1%

위반내용
Text

Distinct3235
Distinct (%)48.1%
Missing64
Missing (%)0.9%
Memory size53.1 KiB
2024-05-18T12:26:20.141568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length261
Median length142
Mean length28.654762
Min length1

Characters and Unicode

Total characters192560
Distinct characters630
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2394 ?
Unique (%)35.6%

Sample

1st row청소년 이성 혼숙
2nd row위생교육 미필
3rd row청소년이성혼숙(1차)
4th row성매매알선
5th row윤락행위등방지법위반(윤락행위알선제공)
ValueCountFrequency (%)
받지 650
 
1.9%
위생교육 593
 
1.7%
아니함 502
 
1.5%
청소년 493
 
1.4%
기존영업자 422
 
1.2%
주류를 414
 
1.2%
건강진단을 408
 
1.2%
미수료 366
 
1.1%
아니한 347
 
1.0%
제공함 304
 
0.9%
Other values (5875) 29857
86.9%
2024-05-18T12:26:21.265882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28374
 
14.7%
0 7482
 
3.9%
. 7298
 
3.8%
2 6725
 
3.5%
1 5430
 
2.8%
업 4993
 
2.6%
영 3645
 
1.9%
( 2695
 
1.4%
) 2690
 
1.4%
위 2560
 
1.3%
Other values (620) 120668
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120469
62.6%
Space Separator 28374
 
14.7%
Decimal Number 27132
 
14.1%
Other Punctuation 10388
 
5.4%
Open Punctuation 2705
 
1.4%
Close Punctuation 2700
 
1.4%
Dash Punctuation 378
 
0.2%
Math Symbol 296
 
0.2%
Uppercase Letter 62
 
< 0.1%
Lowercase Letter 39
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4993
 
4.1%
영 3645
 
3.0%
위 2560
 
2.1%
하 2313
 
1.9%
소 2304
 
1.9%
에 2235
 
1.9%
년 2200
 
1.8%
지 2167
 
1.8%
이 2027
 
1.7%
자 1879
 
1.6%
Other values (568) 94146
78.1%
Other Punctuation
ValueCountFrequency (%)
. 7298
70.3%
: 1190
 
11.5%
, 911
 
8.8%
* 658
 
6.3%
' 173
 
1.7%
/ 96
 
0.9%
? 29
 
0.3%
% 11
 
0.1%
; 10
 
0.1%
？ 5
 
< 0.1%
Other values (4) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 7482
27.6%
2 6725
24.8%
1 5430
20.0%
3 1511
 
5.6%
5 1240
 
4.6%
6 1103
 
4.1%
4 965
 
3.6%
9 922
 
3.4%
8 902
 
3.3%
7 852
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
O 37
59.7%
C 6
 
9.7%
U 4
 
6.5%
F 4
 
6.5%
L 3
 
4.8%
J 2
 
3.2%
D 2
 
3.2%
K 2
 
3.2%
T 1
 
1.6%
V 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 24
61.5%
k 7
 
17.9%
c 4
 
10.3%
m 4
 
10.3%
Open Punctuation
ValueCountFrequency (%)
( 2695
99.6%
「 7
 
0.3%
[ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2690
99.6%
」 7
 
0.3%
] 3
 
0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 10
66.7%
㎖ 3
 
20.0%
㈜ 2
 
13.3%
Math Symbol
ValueCountFrequency (%)
~ 292
98.6%
+ 4
 
1.4%
Space Separator
ValueCountFrequency (%)
28374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120471
62.6%
Common 71988
37.4%
Latin 101
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4993
 
4.1%
영 3645
 
3.0%
위 2560
 
2.1%
하 2313
 
1.9%
소 2304
 
1.9%
에 2235
 
1.9%
년 2200
 
1.8%
지 2167
 
1.8%
이 2027
 
1.7%
자 1879
 
1.6%
Other values (569) 94148
78.1%
Common
ValueCountFrequency (%)
28374
39.4%
0 7482
 
10.4%
. 7298
 
10.1%
2 6725
 
9.3%
1 5430
 
7.5%
( 2695
 
3.7%
) 2690
 
3.7%
3 1511
 
2.1%
5 1240
 
1.7%
: 1190
 
1.7%
Other values (27) 7353
 
10.2%
Latin
ValueCountFrequency (%)
O 37
36.6%
g 24
23.8%
k 7
 
6.9%
C 6
 
5.9%
c 4
 
4.0%
U 4
 
4.0%
F 4
 
4.0%
m 4
 
4.0%
L 3
 
3.0%
J 2
 
2.0%
Other values (4) 6
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120462
62.6%
ASCII 72051
37.4%
None 25
 
< 0.1%
CJK Compat 13
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28374
39.4%
0 7482
 
10.4%
. 7298
 
10.1%
2 6725
 
9.3%
1 5430
 
7.5%
( 2695
 
3.7%
) 2690
 
3.7%
3 1511
 
2.1%
5 1240
 
1.7%
: 1190
 
1.7%
Other values (33) 7416
 
10.3%
Hangul
ValueCountFrequency (%)
업 4993
 
4.1%
영 3645
 
3.0%
위 2560
 
2.1%
하 2313
 
1.9%
소 2304
 
1.9%
에 2235
 
1.9%
년 2200
 
1.8%
지 2167
 
1.8%
이 2027
 
1.7%
자 1879
 
1.6%
Other values (565) 94139
78.1%
CJK Compat
ValueCountFrequency (%)
㎡ 10
76.9%
㎖ 3
 
23.1%
None
ValueCountFrequency (%)
」 7
28.0%
「 7
28.0%
？ 5
20.0%
＂ 2
 
8.0%
＇ 2
 
8.0%
㈜ 2
 
8.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 4
57.1%
ㄴ 2
28.6%
ㅠ 1
 
14.3%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%

처분내용
Text

Distinct1266
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size53.1 KiB
2024-05-18T12:26:22.081356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length72
Mean length10.375442
Min length2

Characters and Unicode

Total characters70387
Distinct characters295
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique868 ?
Unique (%)12.8%

Sample

1st row영업정지2월 갈음 과징금 180만원
2nd row경고 및 과태료 20만원 부과(자진납부 16만원)
3rd row과징금 부과
4th row영업정지
5th row영업정지(2003.9.29-10.28)
ValueCountFrequency (%)
과태료부과 1756
 
16.7%
영업정지 1358
 
12.9%
시정명령 692
 
6.6%
영업소폐쇄 659
 
6.3%
과징금부과 327
 
3.1%
및 315
 
3.0%
과징금 241
 
2.3%
부과 236
 
2.2%
과태료 209
 
2.0%
시설개수명령 194
 
1.8%
Other values (1467) 4508
43.0%
2024-05-18T12:26:23.480951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5746
 
8.2%
0 3794
 
5.4%
3729
 
5.3%
업 3559
 
5.1%
영 3375
 
4.8%
정 3213
 
4.6%
부 2864
 
4.1%
2 2803
 
4.0%
지 2497
 
3.5%
태 2256
 
3.2%
Other values (285) 36551
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49020
69.6%
Decimal Number 11636
 
16.5%
Space Separator 3729
 
5.3%
Other Punctuation 2553
 
3.6%
Open Punctuation 1370
 
1.9%
Close Punctuation 1363
 
1.9%
Math Symbol 428
 
0.6%
Dash Punctuation 284
 
0.4%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (257) 20436
41.7%
Decimal Number
ValueCountFrequency (%)
0 3794
32.6%
2 2803
24.1%
1 2224
19.1%
3 610
 
5.2%
5 584
 
5.0%
4 432
 
3.7%
8 331
 
2.8%
6 323
 
2.8%
7 295
 
2.5%
9 240
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1857
72.7%
, 469
 
18.4%
' 174
 
6.8%
/ 26
 
1.0%
: 21
 
0.8%
% 2
 
0.1%
? 2
 
0.1%
! 1
 
< 0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 284
66.4%
→ 141
32.9%
+ 3
 
0.7%
Space Separator
ValueCountFrequency (%)
3729
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Lowercase Letter
ValueCountFrequency (%)
v 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49020
69.6%
Common 21365
30.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (257) 20436
41.7%
Common
ValueCountFrequency (%)
0 3794
17.8%
3729
17.5%
2 2803
13.1%
1 2224
10.4%
. 1857
8.7%
( 1370
 
6.4%
) 1363
 
6.4%
3 610
 
2.9%
5 584
 
2.7%
, 469
 
2.2%
Other values (17) 2562
12.0%
Latin
ValueCountFrequency (%)
v 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49007
69.6%
ASCII 21226
30.2%
Arrows 141
 
0.2%
Compat Jamo 13
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5746
 
11.7%
업 3559
 
7.3%
영 3375
 
6.9%
정 3213
 
6.6%
부 2864
 
5.8%
지 2497
 
5.1%
태 2256
 
4.6%
료 2244
 
4.6%
원 1541
 
3.1%
명 1289
 
2.6%
Other values (256) 20423
41.7%
ASCII
ValueCountFrequency (%)
0 3794
17.9%
3729
17.6%
2 2803
13.2%
1 2224
10.5%
. 1857
8.7%
( 1370
 
6.5%
) 1363
 
6.4%
3 610
 
2.9%
5 584
 
2.8%
, 469
 
2.2%
Other values (17) 2423
11.4%
Arrows
ValueCountFrequency (%)
→ 141
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)3.7%
Missing6077
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean12.884017
Minimum0
Maximum30
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size59.8 KiB
2024-05-18T12:26:24.074272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q315
95-th percentile19.4
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8866021
Coefficient of variation (CV)0.37927629
Kurtosis1.6762739
Mean12.884017
Median Absolute Deviation (MAD)0
Skewness-0.065577027
Sum9109
Variance23.87888
MonotonicityNot monotonic
2024-05-18T12:26:24.631219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
15 438
 
6.5%
7 120
 
1.8%
10 42
 
0.6%
5 19
 
0.3%
20 17
 
0.3%
0 10
 
0.1%
1 9
 
0.1%
30 7
 
0.1%
3 5
 
0.1%
11 4
 
0.1%
Other values (16) 36
 
0.5%
(Missing) 6077
89.6%
ValueCountFrequency (%)
0 10
 
0.1%
1 9
 
0.1%
2 2
 
< 0.1%
3 5
 
0.1%
4 2
 
< 0.1%
5 19
 
0.3%
6 3
 
< 0.1%
7 120
1.8%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
30 7
0.1%
29 4
 
0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 2
 
< 0.1%
22 2
 
< 0.1%
21 2
 
< 0.1%
20 17
0.3%
18 3
 
< 0.1%
17 3
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct1424
Distinct (%)43.8%
Missing3531
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean181.35265
Minimum0
Maximum76612
Zeros34
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size59.8 KiB
2024-05-18T12:26:25.398393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.06
Q136.74
median79
Q3127.72
95-th percentile743.3
Maximum76612
Range76612
Interquartile range (IQR)90.98

Descriptive statistics

Standard deviation1371.6708
Coefficient of variation (CV)7.5635552
Kurtosis2966.8297
Mean181.35265
Median Absolute Deviation (MAD)44.8
Skewness53.276772
Sum589940.17
Variance1881480.7
MonotonicityNot monotonic
2024-05-18T12:26:26.139789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
0.5%
26.4 18
 
0.3%
48.0 17
 
0.3%
33.0 17
 
0.3%
54.57 16
 
0.2%
175.52 16
 
0.2%
103.45 16
 
0.2%
918.77 15
 
0.2%
1169.36 15
 
0.2%
136.8 15
 
0.2%
Other values (1414) 3074
45.3%
(Missing) 3531
52.0%
ValueCountFrequency (%)
0.0 34
0.5%
1.65 3
 
< 0.1%
3.0 1
 
< 0.1%
5.0 2
 
< 0.1%
6.0 1
 
< 0.1%
6.6 3
 
< 0.1%
7.0 1
 
< 0.1%
9.0 2
 
< 0.1%
9.92 1
 
< 0.1%
10.0 4
 
0.1%
ValueCountFrequency (%)
76612.0 1
 
< 0.1%
4004.02 1
 
< 0.1%
2879.68 6
0.1%
2526.2 1
 
< 0.1%
2316.37 1
 
< 0.1%
2301.12 2
 
< 0.1%
2137.0 2
 
< 0.1%
2076.15 3
< 0.1%
1998.33 1
 
< 0.1%
1887.14 1
 
< 0.1%

Interactions

2024-05-18T12:25:59.870090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:52.077501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:53.941024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:55.875032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:57.535527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:00.279146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:52.406168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:54.211584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:56.162295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:57.830112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:00.627334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:52.815039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:54.523703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:56.467961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:58.122158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:01.093117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:53.241418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:54.881814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:56.801964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:58.552127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:26:01.510968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:53.603710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:55.300010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:57.142027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:25:59.285510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T12:26:26.552233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4640.5350.9060.0000.2040.033
업종명0.4641.0000.9970.4420.0000.3661.000
업태명0.5350.9971.0000.5820.2520.483NaN
지도점검일자0.9060.4420.5821.0000.0000.2670.020
위반일자0.0000.0000.2520.0001.000NaN0.000
처분기간0.2040.3660.4830.267NaN1.000NaN
영업장면적(㎡)0.0331.000NaN0.0200.000NaN1.000
2024-05-18T12:26:27.040776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.998-0.075-0.1370.207
지도점검일자0.9991.0000.999-0.073-0.1400.171
위반일자0.9980.9991.000-0.071-0.1370.000
처분기간-0.075-0.073-0.0711.0000.0470.182
영업장면적(㎡)-0.137-0.140-0.1370.0471.0000.995
업종명0.2070.1710.0000.1820.9951.000

Missing values

2024-05-18T12:26:02.387364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T12:26:03.504191image/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.
2024-05-18T12:26:04.203444image/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(㎡)
0308000020060530234숙박업(일반)여관업아람장서울특별시 강북구 삼양로181길 101, (우이동)서울특별시 강북구 우이동 224번지 7호20060408처분확정영업정지2월 갈음 과징금 180만원공중위생관리법 제11조20060408청소년 이성 혼숙영업정지2월 갈음 과징금 180만원<NA>227.0
1308000020110404223숙박업(일반)관광호텔기장 아카데미하우스서울특별시 강북구 한천로 1319, (수유동)서울특별시 강북구 수유동 산 76번지 0호20110103처분확정경고 및 과태료 20만원 부과(자진납부 16만원)공중위생관리법 제11조 및 같은법 제17조, 같은법 제22조20101230위생교육 미필경고 및 과태료 20만원 부과(자진납부 16만원)<NA>4004.02
2308000020110624017숙박업(일반)여관업신일장서울특별시 강북구 솔샘로67길 137, (미아동,(큰마을길 69))서울특별시 강북구 미아동 316번지 1호 (큰마을길 69)20110502처분확정과징금 부과공중위생관리법 제11조 제1항20110502청소년이성혼숙(1차)과징금 부과<NA>271.41
3308000020171106017숙박업(일반)여관업신일장서울특별시 강북구 솔샘로67길 137, (미아동)서울특별시 강북구 미아동 316번지 1호20170425처분확정영업정지법 제11조제1항20170425성매매알선영업정지<NA>271.41
4308000020030923083숙박업(일반)여관업화성서울특별시 강북구 도봉로10나길 4, (미아동)서울특별시 강북구 미아동 55번지 58호20030821처분확정영업정지(2003.9.29-10.28)공중위생관리법 제11조,동법시행ㄱ칙제19조20030821윤락행위등방지법위반(윤락행위알선제공)영업정지(2003.9.29-10.28)<NA>167.59
5308000020040714014숙박업(일반)여관업태흥 여관<NA>서울특별시 강북구 수유동 174번지 24호20040708처분확정영업정지공중위생관리법제11조1항20040611윤락행위 알선 및 장소제공영업정지<NA>60.2
6308000020050708101숙박업(일반)여관업한성여관서울특별시 강북구 솔매로30길 12, (미아동)서울특별시 강북구 미아동 762번지 43호20050531처분확정영업정지2월 갈음 과징금 180만원 부과공중위생관리법 제11조제1항20050531청소년이성혼숙영업정지2월 갈음 과징금 180만원 부과<NA>92.49
7308000020031202040숙박업(일반)여관업C.L서울특별시 강북구 덕릉로28길 53, (미아동)서울특별시 강북구 미아동 187번지 3호20031006처분확정영업정지2월갈음과징금부과청소년보호법20030827청소년혼숙영업정지2월갈음과징금부과<NA>151.38
8308000020140213040숙박업(일반)여관업CL모텔서울특별시 강북구 덕릉로28길 53, (미아동)서울특별시 강북구 미아동 187번지 3호20140109처분확정경고공중위생관리법 제11조, 제17조, 제22조20140109위생교육 미필경고<NA>151.38
9308000020140213040숙박업(일반)여관업CL모텔서울특별시 강북구 덕릉로28길 53, (미아동)서울특별시 강북구 미아동 187번지 3호20140109처분확정과태료부과(자진납부 16만원)공중위생관리법 제11조, 제17조, 제22조20140109위생교육미필과태료부과(자진납부 16만원)<NA>151.38
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
677430800002023110220190053674건강기능식품일반판매업영업장판매백세건강지킴이서울특별시 강북구 도봉로67길 18, 수유시장 15호 (수유동)서울특별시 강북구 수유동 54번지 5호 수유시장-1520230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
677530800002023110220190053674건강기능식품일반판매업영업장판매백세건강지킴이서울특별시 강북구 도봉로67길 18, 수유시장 15호 (수유동)서울특별시 강북구 수유동 54번지 5호 수유시장-1520230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
677630800002022050320200053317건강기능식품일반판매업영업장판매지투바이오(G2)서울특별시 강북구 도봉로 328, 가든타워빌딩 지하1층 124호 (번동)서울특별시 강북구 번동 446번지 13호 가든타워빌딩20220315처분확정영업소폐쇄법 제32조202203156개월이상 정당한 사유없이 휴업(시설물 멸실)영업소폐쇄<NA><NA>
677730800002023110220200053523건강기능식품일반판매업영업장판매세븐일레븐 수유 영준점서울특별시 강북구 한천로131길 13, 근화빌딩 1층 (번동)서울특별시 강북구 번동 417번지 18호 근화빌딩20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
677830800002023110220200053837건강기능식품일반판매업전자상거래(통신판매업)수어유통서울특별시 강북구 도봉로53길 40, 모노펠리체 104호 (미아동)서울특별시 강북구 미아동 223번지 14호 모노펠리체20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
677930800002023110220210053032건강기능식품일반판매업전자상거래(통신판매업)헷세드서울특별시 강북구 한천로105길 23, 107동 605호 (번동, 번동1단지주공아파트)서울특별시 강북구 번동 242번지 번동1단지주공아파트20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
678030800002023110220210053487건강기능식품일반판매업영업장판매햇살아이의원서울특별시 강북구 삼양로 241, 4층 (미아동)서울특별시 강북구 미아동 777번지 18호20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
678130800002023110220210053676건강기능식품일반판매업전자상거래(통신판매업)에뚜알서울특별시 강북구 도봉로 144, 4층 8-85호 (미아동)서울특별시 강북구 미아동 131번지 6호20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>
678230800002022121920220063303건강기능식품일반판매업영업장판매그레이스피엠서울특별시 강북구 도봉로 328, 가든타워빌딩 지하1층 139~140호 (번동)서울특별시 강북구 번동 446번지 13호 가든타워빌딩20220922처분확정제품폐기 및 영업정지법 제14조부터 제16조까지202204252022. 3. 8. 경부터 4. 25. 경까지 세포재생해독쥬스를 질병의 예방치료에 효능이 있는 것으로 인식할 우려가 있는 표시 또는 광고제품폐기 및 영업정지<NA><NA>
678330800002023110220180053767건강기능식품유통전문판매업건강기능식품유통전문판매업제이내추럴에프앤비서울특별시 강북구 도봉로 191, 상아빌딩 4층 (미아동)서울특별시 강북구 미아동 304번지 2호 상아빌딩 4층20230803처분확정과태료부과법 제47조제1항제6호202308032022년 기존영업자 위생교육 미수료과태료부과<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
1430800002002031519990053734일반음식점한식홍고집돼지박사<NA>서울특별시 강북구 미아동 860번지 23호20020314처분확정청소년주류제공(영업정지2월갈음-소송,과징금138만원)식품위생법20020314청소년주류제공(영업정지2월갈음-소송,과징금138만원)청소년주류제공(영업정지2월갈음-소송,과징금138만원)<NA>26.44
3330800002003032619810053031휴게음식점다방종점다방<NA>서울특별시 강북구 번동 430번지 68호20030224처분확정영업정지식위법제58조20030224도박방조행위영업정지<NA>75.114
80308000020061109210숙박업(일반)여관업그림파크서울특별시 강북구 도봉로83길 9, (수유동)서울특별시 강북구 수유동 230번지 9호20060808처분확정영업정지 2월갈음 과징금180만원부과공중위생관리법 제11조20060808청소년 이성혼숙영업정지 2월갈음 과징금180만원부과<NA>171.364
81308000020061116157숙박업(일반)여관업나두모텔서울특별시 강북구 도봉로73길 13, (수유동)서울특별시 강북구 수유동 87번지 5호20060316처분확정영업정지2개월 갈음 과징금 246만원 부과공중위생관리법 제11조20060316청소년 이성혼숙영업정지2개월 갈음 과징금 246만원 부과<NA>272.044
87308000020070216148숙박업(일반)여관업번동여인숙서울특별시 강북구 덕릉로 130, (번동)서울특별시 강북구 번동 441번지 9호20070104처분확정영업정지 3월갈음 과징금 270만원 부과공중위생관리법 제11조20070104청소년 이성혼숙(2차)영업정지 3월갈음 과징금 270만원 부과<NA>33.834
030800001994092219860053075유흥주점영업룸살롱아리랑<NA>서울특별시 강북구 미아동 160번지 1호 지하19940922처분확정종사원명부정리부실(시정지시)식품위생법19940922종사원명부정리부실(시정지시)종사원명부정리부실(시정지시)15136.83
130800001994092219860053075유흥주점영업룸살롱아리랑<NA>서울특별시 강북구 미아동 160번지 1호 지하19940922처분확정종사원명부정리부실(시정지시)식품위생법19940922종사원명부정리부실(시정지시)종사원명부정리부실(시정지시)15<NA>3
230800001994092319860053075유흥주점영업룸살롱아리랑<NA>서울특별시 강북구 미아동 160번지 1호 지하19940922처분확정종사원명부정리부실(시정지시)식품위생법19940922종사원명부정리부실(시정지시)종사원명부정리부실(시정지시)15136.83
330800001994092319860053075유흥주점영업룸살롱아리랑<NA>서울특별시 강북구 미아동 160번지 1호 지하19940922처분확정종사원명부정리부실(시정지시)식품위생법19940922종사원명부정리부실(시정지시)종사원명부정리부실(시정지시)15<NA>3
430800001994092319860053075유흥주점영업룸살롱아리랑<NA>서울특별시 강북구 미아동 160번지 1호 지하19940922처분확정종사원명부정리부실(시정지시)식품위생법19940922종사원명부정리부실(시정지시)종사원명부정리부실(시정지시)<NA>136.83