Overview

Dataset statistics

Number of variables17
Number of observations6861
Missing cells12807
Missing cells (%)11.0%
Duplicate rows504
Duplicate rows (%)7.3%
Total size in memory951.6 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(㎡)
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-10148/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 504 (7.3%) 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
소재지도로명 has 3416 (49.8%) missing valuesMissing
처분기간 has 5494 (80.1%) missing valuesMissing
영업장면적(㎡) has 3789 (55.2%) missing valuesMissing
처분기간 has 522 (7.6%) zerosZeros

Reproduction

Analysis started2024-05-11 04:58:00.454839
Analysis finished2024-05-11 04:58:16.650517
Duration16.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
3170000
6861 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 6861
100.0%

Length

2024-05-11T04:58:16.862040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:58:17.178009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 6861
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2048
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130243
Minimum19990906
Maximum20240508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.4 KiB
2024-05-11T04:58:17.578096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990906
5-th percentile20041006
Q120080805
median20130805
Q320171031
95-th percentile20230406
Maximum20240508
Range249602
Interquartile range (IQR)90226

Descriptive statistics

Standard deviation57081.405
Coefficient of variation (CV)0.0028356043
Kurtosis-1.0043948
Mean20130243
Median Absolute Deviation (MAD)49694
Skewness0.091283724
Sum1.381136 × 1011
Variance3.2582868 × 109
MonotonicityNot monotonic
2024-05-11T04:58:18.132746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050624 69
 
1.0%
20080506 67
 
1.0%
20150123 64
 
0.9%
20081201 63
 
0.9%
20220119 58
 
0.8%
20170329 57
 
0.8%
20240223 52
 
0.8%
20080616 51
 
0.7%
20051229 40
 
0.6%
20101010 39
 
0.6%
Other values (2038) 6301
91.8%
ValueCountFrequency (%)
19990906 1
 
< 0.1%
20020121 4
0.1%
20020122 5
0.1%
20020125 1
 
< 0.1%
20020129 1
 
< 0.1%
20020204 4
0.1%
20020205 2
 
< 0.1%
20020208 7
0.1%
20020218 1
 
< 0.1%
20020221 2
 
< 0.1%
ValueCountFrequency (%)
20240508 2
 
< 0.1%
20240416 1
 
< 0.1%
20240403 1
 
< 0.1%
20240329 1
 
< 0.1%
20240322 2
 
< 0.1%
20240320 2
 
< 0.1%
20240305 3
 
< 0.1%
20240226 3
 
< 0.1%
20240223 52
0.8%
20240222 1
 
< 0.1%

교부번호
Text

Distinct3015
Distinct (%)44.1%
Missing24
Missing (%)0.3%
Memory size53.7 KiB
2024-05-11T04:58:18.736299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.486324
Min length1

Characters and Unicode

Total characters71695
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

Unique1762 ?
Unique (%)25.8%

Sample

1st row20001
2nd row20001
3rd row20001
4th row20001
5th row20001
ValueCountFrequency (%)
20000084411 154
 
2.3%
20010084111 66
 
1.0%
20060084571 52
 
0.8%
20020084253 52
 
0.8%
20030084418 42
 
0.6%
20170084350 32
 
0.5%
20120084385 30
 
0.4%
20180040215 30
 
0.4%
20160084444 30
 
0.4%
20050084385 27
 
0.4%
Other values (3005) 6322
92.5%
2024-05-11T04:58:19.797086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24024
33.5%
4 9094
 
12.7%
8 8519
 
11.9%
2 7936
 
11.1%
1 6956
 
9.7%
9 4735
 
6.6%
5 2975
 
4.1%
3 2953
 
4.1%
6 2267
 
3.2%
7 2132
 
3.0%
Other values (7) 104
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71591
99.9%
Dash Punctuation 60
 
0.1%
Other Letter 44
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24024
33.6%
4 9094
 
12.7%
8 8519
 
11.9%
2 7936
 
11.1%
1 6956
 
9.7%
9 4735
 
6.6%
5 2975
 
4.2%
3 2953
 
4.1%
6 2267
 
3.2%
7 2132
 
3.0%
Other Letter
ValueCountFrequency (%)
미 11
25.0%
용 11
25.0%
피 9
20.5%
부 9
20.5%
일 2
 
4.5%
반 2
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71651
99.9%
Hangul 44
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24024
33.5%
4 9094
 
12.7%
8 8519
 
11.9%
2 7936
 
11.1%
1 6956
 
9.7%
9 4735
 
6.6%
5 2975
 
4.2%
3 2953
 
4.1%
6 2267
 
3.2%
7 2132
 
3.0%
Hangul
ValueCountFrequency (%)
미 11
25.0%
용 11
25.0%
피 9
20.5%
부 9
20.5%
일 2
 
4.5%
반 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71651
99.9%
Hangul 44
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24024
33.5%
4 9094
 
12.7%
8 8519
 
11.9%
2 7936
 
11.1%
1 6956
 
9.7%
9 4735
 
6.6%
5 2975
 
4.2%
3 2953
 
4.1%
6 2267
 
3.2%
7 2132
 
3.0%
Hangul
ValueCountFrequency (%)
미 11
25.0%
용 11
25.0%
피 9
20.5%
부 9
20.5%
일 2
 
4.5%
반 2
 
4.5%

업종명
Categorical

Distinct37
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
일반음식점
3428 
식품제조가공업
793 
단란주점
385 
유흥주점영업
 
333
휴게음식점
 
240
Other values (32)
1682 

Length

Max length23
Median length5
Mean length5.7727736
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 3428
50.0%
식품제조가공업 793
 
11.6%
단란주점 385
 
5.6%
유흥주점영업 333
 
4.9%
휴게음식점 240
 
3.5%
즉석판매제조가공업 227
 
3.3%
유통전문판매업 187
 
2.7%
식품등 수입판매업 180
 
2.6%
숙박업(일반) 153
 
2.2%
건강기능식품일반판매업 132
 
1.9%
Other values (27) 803
 
11.7%

Length

2024-05-11T04:58:20.336164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 3428
48.6%
식품제조가공업 793
 
11.2%
단란주점 385
 
5.5%
유흥주점영업 333
 
4.7%
휴게음식점 240
 
3.4%
즉석판매제조가공업 227
 
3.2%
유통전문판매업 187
 
2.7%
수입판매업 180
 
2.6%
식품등 180
 
2.6%
숙박업(일반 153
 
2.2%
Other values (25) 949
 
13.5%

업태명
Text

Distinct78
Distinct (%)1.1%
Missing44
Missing (%)0.6%
Memory size53.7 KiB
2024-05-11T04:58:20.905203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.8756051
Min length2

Characters and Unicode

Total characters33237
Distinct characters162
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row여관업
2nd row여관업
3rd row여관업
4th row여관업
5th row여관업
ValueCountFrequency (%)
한식 1435
20.1%
식품제조가공업 789
 
11.1%
호프/통닭 772
 
10.8%
단란주점 385
 
5.4%
룸살롱 312
 
4.4%
즉석판매제조가공업 227
 
3.2%
중국식 226
 
3.2%
분식 201
 
2.8%
유통전문판매업 187
 
2.6%
식품등 180
 
2.5%
Other values (69) 2419
33.9%
2024-05-11T04:58:22.097131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3420
 
10.3%
업 2417
 
7.3%
한 1439
 
4.3%
통 1223
 
3.7%
품 1177
 
3.5%
공 1140
 
3.4%
제 1129
 
3.4%
/ 1114
 
3.4%
조 1094
 
3.3%
가 1018
 
3.1%
Other values (152) 18066
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31145
93.7%
Other Punctuation 1124
 
3.4%
Space Separator 316
 
1.0%
Close Punctuation 294
 
0.9%
Open Punctuation 294
 
0.9%
Math Symbol 64
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3420
 
11.0%
업 2417
 
7.8%
한 1439
 
4.6%
통 1223
 
3.9%
품 1177
 
3.8%
공 1140
 
3.7%
제 1129
 
3.6%
조 1094
 
3.5%
가 1018
 
3.3%
닭 934
 
3.0%
Other values (145) 16154
51.9%
Other Punctuation
ValueCountFrequency (%)
/ 1114
99.1%
. 8
 
0.7%
, 2
 
0.2%
Space Separator
ValueCountFrequency (%)
316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Math Symbol
ValueCountFrequency (%)
+ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31145
93.7%
Common 2092
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3420
 
11.0%
업 2417
 
7.8%
한 1439
 
4.6%
통 1223
 
3.9%
품 1177
 
3.8%
공 1140
 
3.7%
제 1129
 
3.6%
조 1094
 
3.5%
가 1018
 
3.3%
닭 934
 
3.0%
Other values (145) 16154
51.9%
Common
ValueCountFrequency (%)
/ 1114
53.3%
316
 
15.1%
) 294
 
14.1%
( 294
 
14.1%
+ 64
 
3.1%
. 8
 
0.4%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31145
93.7%
ASCII 2092
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3420
 
11.0%
업 2417
 
7.8%
한 1439
 
4.6%
통 1223
 
3.9%
품 1177
 
3.8%
공 1140
 
3.7%
제 1129
 
3.6%
조 1094
 
3.5%
가 1018
 
3.3%
닭 934
 
3.0%
Other values (145) 16154
51.9%
ASCII
ValueCountFrequency (%)
/ 1114
53.3%
316
 
15.1%
) 294
 
14.1%
( 294
 
14.1%
+ 64
 
3.1%
. 8
 
0.4%
, 2
 
0.1%

업소명
Text

Distinct3037
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
2024-05-11T04:58:23.015980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length5.6911529
Min length1

Characters and Unicode

Total characters39047
Distinct characters853
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1740 ?
Unique (%)25.4%

Sample

1st row서울여인숙
2nd row서울여인숙
3rd row서울여인숙
4th row서울여인숙
5th row서울여인숙
ValueCountFrequency (%)
주식회사 117
 
1.5%
정정식품 112
 
1.4%
그랜드식품 64
 
0.8%
광원식품 52
 
0.7%
옛맛한과 52
 
0.7%
주)에스엘바이오텍 42
 
0.5%
에이스뉴식품(ace뉴食品 42
 
0.5%
주)트래디스바이오 32
 
0.4%
형제식당 27
 
0.3%
주)본야록 27
 
0.3%
Other values (3303) 7268
92.8%
2024-05-11T04:58:24.548394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1027
 
2.6%
974
 
2.5%
식 907
 
2.3%
) 857
 
2.2%
( 855
 
2.2%
이 850
 
2.2%
스 698
 
1.8%
리 551
 
1.4%
점 513
 
1.3%
품 480
 
1.2%
Other values (843) 31335
80.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34595
88.6%
Space Separator 974
 
2.5%
Close Punctuation 857
 
2.2%
Open Punctuation 855
 
2.2%
Uppercase Letter 751
 
1.9%
Decimal Number 548
 
1.4%
Lowercase Letter 355
 
0.9%
Other Punctuation 97
 
0.2%
Dash Punctuation 13
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1027
 
3.0%
식 907
 
2.6%
이 850
 
2.5%
스 698
 
2.0%
리 551
 
1.6%
점 513
 
1.5%
품 480
 
1.4%
산 424
 
1.2%
마 419
 
1.2%
사 401
 
1.2%
Other values (774) 28325
81.9%
Uppercase Letter
ValueCountFrequency (%)
A 114
15.2%
E 75
10.0%
C 72
9.6%
R 62
 
8.3%
T 59
 
7.9%
B 47
 
6.3%
L 45
 
6.0%
S 37
 
4.9%
I 37
 
4.9%
N 25
 
3.3%
Other values (14) 178
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 67
18.9%
o 46
13.0%
a 32
9.0%
n 31
8.7%
t 27
7.6%
r 23
 
6.5%
f 18
 
5.1%
p 17
 
4.8%
m 17
 
4.8%
i 13
 
3.7%
Other values (10) 64
18.0%
Decimal Number
ValueCountFrequency (%)
0 155
28.3%
2 100
18.2%
7 63
11.5%
8 57
 
10.4%
4 53
 
9.7%
1 39
 
7.1%
5 26
 
4.7%
3 22
 
4.0%
9 21
 
3.8%
6 12
 
2.2%
Other Punctuation
ValueCountFrequency (%)
& 39
40.2%
. 30
30.9%
, 7
 
7.2%
？ 6
 
6.2%
; 5
 
5.2%
# 4
 
4.1%
＆ 2
 
2.1%
' 2
 
2.1%
/ 1
 
1.0%
? 1
 
1.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Close Punctuation
ValueCountFrequency (%)
) 857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 855
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34504
88.4%
Common 3344
 
8.6%
Latin 1108
 
2.8%
Han 91
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1027
 
3.0%
식 907
 
2.6%
이 850
 
2.5%
스 698
 
2.0%
리 551
 
1.6%
점 513
 
1.5%
품 480
 
1.4%
산 424
 
1.2%
마 419
 
1.2%
사 401
 
1.2%
Other values (767) 28234
81.8%
Latin
ValueCountFrequency (%)
A 114
 
10.3%
E 75
 
6.8%
C 72
 
6.5%
e 67
 
6.0%
R 62
 
5.6%
T 59
 
5.3%
B 47
 
4.2%
o 46
 
4.2%
L 45
 
4.1%
S 37
 
3.3%
Other values (35) 484
43.7%
Common
ValueCountFrequency (%)
974
29.1%
) 857
25.6%
( 855
25.6%
0 155
 
4.6%
2 100
 
3.0%
7 63
 
1.9%
8 57
 
1.7%
4 53
 
1.6%
& 39
 
1.2%
1 39
 
1.2%
Other values (14) 152
 
4.5%
Han
ValueCountFrequency (%)
品 42
46.2%
食 42
46.2%
和 2
 
2.2%
世 2
 
2.2%
美 1
 
1.1%
辛 1
 
1.1%
愛 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34504
88.4%
ASCII 4442
 
11.4%
CJK 91
 
0.2%
None 8
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1027
 
3.0%
식 907
 
2.6%
이 850
 
2.5%
스 698
 
2.0%
리 551
 
1.6%
점 513
 
1.5%
품 480
 
1.4%
산 424
 
1.2%
마 419
 
1.2%
사 401
 
1.2%
Other values (767) 28234
81.8%
ASCII
ValueCountFrequency (%)
974
21.9%
) 857
19.3%
( 855
19.2%
0 155
 
3.5%
A 114
 
2.6%
2 100
 
2.3%
E 75
 
1.7%
C 72
 
1.6%
e 67
 
1.5%
7 63
 
1.4%
Other values (56) 1110
25.0%
CJK
ValueCountFrequency (%)
品 42
46.2%
食 42
46.2%
和 2
 
2.2%
世 2
 
2.2%
美 1
 
1.1%
辛 1
 
1.1%
愛 1
 
1.1%
None
ValueCountFrequency (%)
？ 6
75.0%
＆ 2
 
25.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

소재지도로명
Text

MISSING 

Distinct1641
Distinct (%)47.6%
Missing3416
Missing (%)49.8%
Memory size53.7 KiB
2024-05-11T04:58:25.282271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length56
Mean length36.349782
Min length23

Characters and Unicode

Total characters125225
Distinct characters317
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

Unique995 ?
Unique (%)28.9%

Sample

1st row서울특별시 금천구 시흥대로54길 43, (시흥동)
2nd row서울특별시 금천구 시흥대로54길 43, (시흥동)
3rd row서울특별시 금천구 시흥대로62길 18-4, (시흥동,[현대시장길 93-5])
4th row서울특별시 금천구 시흥대로62길 18-4, (시흥동,[현대시장길 93-5])
5th row서울특별시 금천구 남부순환로108길 6, (가산동,[백년길 6])
ValueCountFrequency (%)
금천구 3446
 
15.4%
서울특별시 3445
 
15.4%
가산동 1062
 
4.7%
지상1층 908
 
4.1%
독산동 834
 
3.7%
시흥동 799
 
3.6%
가산디지털1로 440
 
2.0%
지하1층 400
 
1.8%
시흥대로 292
 
1.3%
독산로 268
 
1.2%
Other values (1647) 10495
46.9%
2024-05-11T04:58:26.476375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18965
 
15.1%
1 6599
 
5.3%
, 5695
 
4.5%
시 5617
 
4.5%
산 4215
 
3.4%
( 3910
 
3.1%
) 3910
 
3.1%
금 3781
 
3.0%
동 3703
 
3.0%
서 3573
 
2.9%
Other values (307) 65257
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70412
56.2%
Decimal Number 20570
 
16.4%
Space Separator 18965
 
15.1%
Other Punctuation 5696
 
4.5%
Open Punctuation 3979
 
3.2%
Close Punctuation 3979
 
3.2%
Uppercase Letter 1009
 
0.8%
Dash Punctuation 566
 
0.5%
Math Symbol 25
 
< 0.1%
Lowercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5617
 
8.0%
산 4215
 
6.0%
금 3781
 
5.4%
동 3703
 
5.3%
서 3573
 
5.1%
천 3533
 
5.0%
울 3475
 
4.9%
구 3472
 
4.9%
로 3453
 
4.9%
별 3446
 
4.9%
Other values (258) 32144
45.7%
Uppercase Letter
ValueCountFrequency (%)
B 338
33.5%
L 145
14.4%
G 127
 
12.6%
A 107
 
10.6%
T 50
 
5.0%
S 41
 
4.1%
J 30
 
3.0%
C 29
 
2.9%
I 27
 
2.7%
W 19
 
1.9%
Other values (15) 96
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 6599
32.1%
2 2961
14.4%
3 1984
 
9.6%
0 1809
 
8.8%
4 1402
 
6.8%
6 1332
 
6.5%
5 1287
 
6.3%
8 1260
 
6.1%
9 1010
 
4.9%
7 926
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
b 18
75.0%
e 3
 
12.5%
c 1
 
4.2%
i 1
 
4.2%
l 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 5695
> 99.9%
: 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3910
98.3%
[ 69
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 3910
98.3%
] 69
 
1.7%
Space Separator
ValueCountFrequency (%)
18965
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 566
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70412
56.2%
Common 53780
42.9%
Latin 1033
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5617
 
8.0%
산 4215
 
6.0%
금 3781
 
5.4%
동 3703
 
5.3%
서 3573
 
5.1%
천 3533
 
5.0%
울 3475
 
4.9%
구 3472
 
4.9%
로 3453
 
4.9%
별 3446
 
4.9%
Other values (258) 32144
45.7%
Latin
ValueCountFrequency (%)
B 338
32.7%
L 145
14.0%
G 127
 
12.3%
A 107
 
10.4%
T 50
 
4.8%
S 41
 
4.0%
J 30
 
2.9%
C 29
 
2.8%
I 27
 
2.6%
W 19
 
1.8%
Other values (20) 120
 
11.6%
Common
ValueCountFrequency (%)
18965
35.3%
1 6599
 
12.3%
, 5695
 
10.6%
( 3910
 
7.3%
) 3910
 
7.3%
2 2961
 
5.5%
3 1984
 
3.7%
0 1809
 
3.4%
4 1402
 
2.6%
6 1332
 
2.5%
Other values (9) 5213
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70412
56.2%
ASCII 54813
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18965
34.6%
1 6599
 
12.0%
, 5695
 
10.4%
( 3910
 
7.1%
) 3910
 
7.1%
2 2961
 
5.4%
3 1984
 
3.6%
0 1809
 
3.3%
4 1402
 
2.6%
6 1332
 
2.4%
Other values (39) 6246
 
11.4%
Hangul
ValueCountFrequency (%)
시 5617
 
8.0%
산 4215
 
6.0%
금 3781
 
5.4%
동 3703
 
5.3%
서 3573
 
5.1%
천 3533
 
5.0%
울 3475
 
4.9%
구 3472
 
4.9%
로 3453
 
4.9%
별 3446
 
4.9%
Other values (258) 32144
45.7%

소재지지번
Text

Distinct3044
Distinct (%)44.6%
Missing40
Missing (%)0.6%
Memory size53.7 KiB
2024-05-11T04:58:27.188464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length59
Mean length33.304354
Min length21

Characters and Unicode

Total characters227169
Distinct characters339
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1718 ?
Unique (%)25.2%

Sample

1st row서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]
2nd row서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]
3rd row서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]
4th row서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]
5th row서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]
ValueCountFrequency (%)
금천구 6883
 
15.9%
서울특별시 6821
 
15.8%
독산동 2668
 
6.2%
시흥동 2221
 
5.1%
가산동 1933
 
4.5%
지상1층 1274
 
2.9%
지하1층 666
 
1.5%
1호 465
 
1.1%
11호 345
 
0.8%
6호 336
 
0.8%
Other values (2099) 19657
45.4%
2024-05-11T04:58:28.867299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51734
22.8%
1 11094
 
4.9%
지 9974
 
4.4%
시 9625
 
4.2%
동 7313
 
3.2%
금 7121
 
3.1%
천 7096
 
3.1%
구 6992
 
3.1%
호 6886
 
3.0%
서 6866
 
3.0%
Other values (329) 102468
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123387
54.3%
Space Separator 51734
22.8%
Decimal Number 44328
 
19.5%
Open Punctuation 2545
 
1.1%
Close Punctuation 2545
 
1.1%
Dash Punctuation 1045
 
0.5%
Uppercase Letter 992
 
0.4%
Other Punctuation 578
 
0.3%
Math Symbol 9
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9974
 
8.1%
시 9625
 
7.8%
동 7313
 
5.9%
금 7121
 
5.8%
천 7096
 
5.8%
구 6992
 
5.7%
호 6886
 
5.6%
서 6866
 
5.6%
울 6850
 
5.6%
별 6830
 
5.5%
Other values (278) 47834
38.8%
Uppercase Letter
ValueCountFrequency (%)
B 325
32.8%
A 147
14.8%
L 106
 
10.7%
G 79
 
8.0%
T 56
 
5.6%
S 54
 
5.4%
I 44
 
4.4%
J 34
 
3.4%
K 20
 
2.0%
M 20
 
2.0%
Other values (14) 107
 
10.8%
Decimal Number
ValueCountFrequency (%)
1 11094
25.0%
2 5304
12.0%
9 4510
10.2%
3 4185
 
9.4%
0 4093
 
9.2%
8 3793
 
8.6%
4 3616
 
8.2%
5 2951
 
6.7%
6 2440
 
5.5%
7 2342
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 501
86.7%
: 55
 
9.5%
. 21
 
3.6%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
c 1
 
16.7%
i 1
 
16.7%
l 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1982
77.9%
[ 559
 
22.0%
［ 4
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1982
77.9%
] 559
 
22.0%
］ 4
 
0.2%
Space Separator
ValueCountFrequency (%)
51734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1045
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123387
54.3%
Common 102784
45.2%
Latin 998
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9974
 
8.1%
시 9625
 
7.8%
동 7313
 
5.9%
금 7121
 
5.8%
천 7096
 
5.8%
구 6992
 
5.7%
호 6886
 
5.6%
서 6866
 
5.6%
울 6850
 
5.6%
별 6830
 
5.5%
Other values (278) 47834
38.8%
Latin
ValueCountFrequency (%)
B 325
32.6%
A 147
14.7%
L 106
 
10.6%
G 79
 
7.9%
T 56
 
5.6%
S 54
 
5.4%
I 44
 
4.4%
J 34
 
3.4%
K 20
 
2.0%
M 20
 
2.0%
Other values (18) 113
 
11.3%
Common
ValueCountFrequency (%)
51734
50.3%
1 11094
 
10.8%
2 5304
 
5.2%
9 4510
 
4.4%
3 4185
 
4.1%
0 4093
 
4.0%
8 3793
 
3.7%
4 3616
 
3.5%
5 2951
 
2.9%
6 2440
 
2.4%
Other values (13) 9064
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123387
54.3%
ASCII 103774
45.7%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51734
49.9%
1 11094
 
10.7%
2 5304
 
5.1%
9 4510
 
4.3%
3 4185
 
4.0%
0 4093
 
3.9%
8 3793
 
3.7%
4 3616
 
3.5%
5 2951
 
2.8%
6 2440
 
2.4%
Other values (39) 10054
 
9.7%
Hangul
ValueCountFrequency (%)
지 9974
 
8.1%
시 9625
 
7.8%
동 7313
 
5.9%
금 7121
 
5.8%
천 7096
 
5.8%
구 6992
 
5.7%
호 6886
 
5.6%
서 6866
 
5.6%
울 6850
 
5.6%
별 6830
 
5.5%
Other values (278) 47834
38.8%
None
ValueCountFrequency (%)
］ 4
50.0%
［ 4
50.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2244
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128650
Minimum19990810
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.4 KiB
2024-05-11T04:58:29.385116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile20040906
Q120080716
median20130625
Q320170906
95-th percentile20230306
Maximum20240314
Range249504
Interquartile range (IQR)90190

Descriptive statistics

Standard deviation56153.751
Coefficient of variation (CV)0.0027897426
Kurtosis-1.013511
Mean20128650
Median Absolute Deviation (MAD)49683
Skewness0.068841143
Sum1.3810267 × 1011
Variance3.1532438 × 109
MonotonicityNot monotonic
2024-05-11T04:58:30.123015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050607 64
 
0.9%
20150810 64
 
0.9%
20191113 62
 
0.9%
20080508 54
 
0.8%
20141217 52
 
0.8%
20081111 44
 
0.6%
20100531 41
 
0.6%
20211122 37
 
0.5%
20140528 33
 
0.5%
20181213 31
 
0.5%
Other values (2234) 6379
93.0%
ValueCountFrequency (%)
19990810 1
 
< 0.1%
20010925 1
 
< 0.1%
20011113 1
 
< 0.1%
20011201 1
 
< 0.1%
20011219 7
0.1%
20011220 1
 
< 0.1%
20011225 1
 
< 0.1%
20020111 1
 
< 0.1%
20020113 2
 
< 0.1%
20020114 3
< 0.1%
ValueCountFrequency (%)
20240314 2
 
< 0.1%
20240226 2
 
< 0.1%
20240222 1
 
< 0.1%
20240221 1
 
< 0.1%
20240207 5
0.1%
20240131 1
 
< 0.1%
20240130 2
 
< 0.1%
20240122 1
 
< 0.1%
20240119 1
 
< 0.1%
20240117 2
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
처분확정
6861 

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 6861
100.0%

Length

2024-05-11T04:58:30.763594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:58:31.267868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 6861
100.0%

처분명
Text

Distinct762
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
2024-05-11T04:58:31.887110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length8.9978137
Min length2

Characters and Unicode

Total characters61734
Distinct characters247
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique376 ?
Unique (%)5.5%

Sample

1st row과징금부과(영업정지1월갈음)
2nd row영업정지를 갈음하여 과징금(900,000원)부과
3rd row불문처분
4th row영업소 폐쇄명령
5th row영업소폐쇄(청소년보호법(3차)위반 포함)
ValueCountFrequency (%)
시정명령 1087
 
9.8%
영업정지 1074
 
9.7%
과태료부과 949
 
8.6%
영업소폐쇄 750
 
6.8%
과태료 482
 
4.4%
부과 392
 
3.5%
및 276
 
2.5%
시설개수명령 268
 
2.4%
20만원 234
 
2.1%
과징금부과 213
 
1.9%
Other values (829) 5342
48.3%
2024-05-11T04:58:33.345917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5493
 
8.9%
4230
 
6.9%
0 3434
 
5.6%
부 2794
 
4.5%
정 2748
 
4.5%
업 2408
 
3.9%
료 2391
 
3.9%
영 2358
 
3.8%
원 2337
 
3.8%
태 2317
 
3.8%
Other values (237) 31224
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44521
72.1%
Decimal Number 9051
 
14.7%
Space Separator 4230
 
6.9%
Close Punctuation 1346
 
2.2%
Open Punctuation 1346
 
2.2%
Other Punctuation 1137
 
1.8%
Math Symbol 75
 
0.1%
Dash Punctuation 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.2%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (208) 17969
40.4%
Decimal Number
ValueCountFrequency (%)
0 3434
37.9%
1 1726
19.1%
2 1636
18.1%
5 585
 
6.5%
6 435
 
4.8%
3 311
 
3.4%
4 311
 
3.4%
8 303
 
3.3%
7 215
 
2.4%
9 95
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 469
41.2%
. 422
37.1%
% 159
 
14.0%
: 71
 
6.2%
/ 15
 
1.3%
％ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 61
81.3%
< 5
 
6.7%
> 5
 
6.7%
→ 2
 
2.7%
+ 2
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 1343
99.8%
} 2
 
0.1%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1343
99.8%
{ 2
 
0.1%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44521
72.1%
Common 17213
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.2%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (208) 17969
40.4%
Common
ValueCountFrequency (%)
4230
24.6%
0 3434
20.0%
1 1726
10.0%
2 1636
 
9.5%
) 1343
 
7.8%
( 1343
 
7.8%
5 585
 
3.4%
, 469
 
2.7%
6 435
 
2.5%
. 422
 
2.5%
Other values (19) 1590
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44497
72.1%
ASCII 17210
 
27.9%
Compat Jamo 24
 
< 0.1%
Arrows 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.3%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (207) 17945
40.3%
ASCII
ValueCountFrequency (%)
4230
24.6%
0 3434
20.0%
1 1726
10.0%
2 1636
 
9.5%
) 1343
 
7.8%
( 1343
 
7.8%
5 585
 
3.4%
, 469
 
2.7%
6 435
 
2.5%
. 422
 
2.5%
Other values (17) 1587
 
9.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 24
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
％ 1
100.0%

법적근거
Text

Distinct729
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
2024-05-11T04:58:34.170336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length14.724821
Min length4

Characters and Unicode

Total characters101027
Distinct characters128
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)4.6%

Sample

1st row공중위생관리법 제11조
2nd row공중위생관리법제11조및 같은법시행규칙제19조
3rd row공중위생관리법제11조및 같은법시행규칙제19조
4th row공중위생관리법제11조,공중위생관리법시행규칙제19조
5th row공중위생관리법제11조, 같은법시행규칙제19조
ValueCountFrequency (%)
법 4338
19.6%
식품위생법 3323
 
15.0%
및 1600
 
7.2%
제75조 1375
 
6.2%
제71조 927
 
4.2%
제101조제2항제1호 488
 
2.2%
제31조 462
 
2.1%
동법 416
 
1.9%
제74조 408
 
1.8%
제101조제2항 352
 
1.6%
Other values (459) 8425
38.1%
2024-05-11T04:58:35.598077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15294
15.1%
제 13178
13.0%
조 9656
 
9.6%
법 9086
 
9.0%
1 8281
 
8.2%
위 4400
 
4.4%
7 4362
 
4.3%
생 4064
 
4.0%
식 3723
 
3.7%
품 3723
 
3.7%
Other values (118) 25260
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59558
59.0%
Decimal Number 24880
24.6%
Space Separator 15294
 
15.1%
Other Punctuation 1203
 
1.2%
Close Punctuation 46
 
< 0.1%
Open Punctuation 45
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 13178
22.1%
조 9656
16.2%
법 9086
15.3%
위 4400
 
7.4%
생 4064
 
6.8%
식 3723
 
6.3%
품 3723
 
6.3%
항 2868
 
4.8%
및 1621
 
2.7%
호 1480
 
2.5%
Other values (98) 5759
9.7%
Decimal Number
ValueCountFrequency (%)
1 8281
33.3%
7 4362
17.5%
2 3034
 
12.2%
5 2474
 
9.9%
4 1826
 
7.3%
0 1771
 
7.1%
3 1540
 
6.2%
6 819
 
3.3%
8 478
 
1.9%
9 295
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 38
82.6%
」 7
 
15.2%
] 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 36
80.0%
「 7
 
15.6%
[ 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1190
98.9%
. 13
 
1.1%
Space Separator
ValueCountFrequency (%)
15294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59558
59.0%
Common 41469
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 13178
22.1%
조 9656
16.2%
법 9086
15.3%
위 4400
 
7.4%
생 4064
 
6.8%
식 3723
 
6.3%
품 3723
 
6.3%
항 2868
 
4.8%
및 1621
 
2.7%
호 1480
 
2.5%
Other values (98) 5759
9.7%
Common
ValueCountFrequency (%)
15294
36.9%
1 8281
20.0%
7 4362
 
10.5%
2 3034
 
7.3%
5 2474
 
6.0%
4 1826
 
4.4%
0 1771
 
4.3%
3 1540
 
3.7%
, 1190
 
2.9%
6 819
 
2.0%
Other values (10) 878
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59556
59.0%
ASCII 41455
41.0%
None 14
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15294
36.9%
1 8281
20.0%
7 4362
 
10.5%
2 3034
 
7.3%
5 2474
 
6.0%
4 1826
 
4.4%
0 1771
 
4.3%
3 1540
 
3.7%
, 1190
 
2.9%
6 819
 
2.0%
Other values (8) 864
 
2.1%
Hangul
ValueCountFrequency (%)
제 13178
22.1%
조 9656
16.2%
법 9086
15.3%
위 4400
 
7.4%
생 4064
 
6.8%
식 3723
 
6.3%
품 3723
 
6.3%
항 2868
 
4.8%
및 1621
 
2.7%
호 1480
 
2.5%
Other values (96) 5757
9.7%
None
ValueCountFrequency (%)
「 7
50.0%
」 7
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
50.0%
ㅈ 1
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2241
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20128525
Minimum19870630
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.4 KiB
2024-05-11T04:58:36.200563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870630
5-th percentile20040831
Q120080708
median20130618
Q320170903
95-th percentile20230101
Maximum20240314
Range369684
Interquartile range (IQR)90195

Descriptive statistics

Standard deviation56165.586
Coefficient of variation (CV)0.0027903478
Kurtosis-0.96441228
Mean20128525
Median Absolute Deviation (MAD)49690
Skewness0.05693441
Sum1.3810181 × 1011
Variance3.1545731 × 109
MonotonicityNot monotonic
2024-05-11T04:58:36.749273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 125
 
1.8%
20211213 87
 
1.3%
20050607 64
 
0.9%
20150810 63
 
0.9%
20191113 56
 
0.8%
20141217 54
 
0.8%
20080508 54
 
0.8%
20081111 44
 
0.6%
20100531 41
 
0.6%
20211122 37
 
0.5%
Other values (2231) 6236
90.9%
ValueCountFrequency (%)
19870630 1
 
< 0.1%
19990810 1
 
< 0.1%
20010925 1
 
< 0.1%
20011113 1
 
< 0.1%
20011201 1
 
< 0.1%
20011219 3
< 0.1%
20011220 1
 
< 0.1%
20020111 1
 
< 0.1%
20020113 2
< 0.1%
20020114 3
< 0.1%
ValueCountFrequency (%)
20240314 2
 
< 0.1%
20240226 2
 
< 0.1%
20240222 1
 
< 0.1%
20240221 1
 
< 0.1%
20240207 7
0.1%
20240131 1
 
< 0.1%
20240130 2
 
< 0.1%
20240122 1
 
< 0.1%
20240119 1
 
< 0.1%
20240117 2
 
< 0.1%

위반내용
Text

Distinct2434
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
2024-05-11T04:58:37.869806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length333
Median length207
Mean length27.447894
Min length4

Characters and Unicode

Total characters188320
Distinct characters736
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1461 ?
Unique (%)21.3%

Sample

1st row2009.02.27 02:00경부터 같은날 13:00경까지 청소년보호법을 위반한 사실이(청소년 이성혼숙 허용) 서울금천경찰서 형사과-1857(2009.03.06)호로 적발, 통보됨.
2nd row2009.12.13. 06:00경 청소년보호법을 위반한 사실이(청소년 이성혼숙 허용) 서울금천경찰서형사과-12453(09.12.31)호로 적발,통보됨
3rd row2010.03.04. 02:00경 청소년보호법을 위반하여 서울금천경찰서 수사과-1659(2010. 03.08)호로 적발,통보됨
4th row2010.04.21. 02:10경 청소년보호법을 위반한사실(청소년 이성혼숙의 장소를 제공)이 서울금천경찰서 수사과-3912(2010.05.27)호로 적발,통보됨
5th row2010.02월 초순경부터2010.06.20경까지 이곳을 찾아오는 불상의 손님들을 상대로 성매매를 하도록 장소를 제공 및 알선한 사실이 서울금천경찰서 생활안전과-6736(2010.08.23)호로 적발,통보됨.
ValueCountFrequency (%)
위생교육 748
 
2.0%
건강진단 508
 
1.4%
건강진단을 477
 
1.3%
받지 468
 
1.2%
기존영업자 455
 
1.2%
미수료 430
 
1.1%
미필 402
 
1.1%
401
 
1.1%
아니한 392
 
1.0%
및 354
 
0.9%
Other values (6009) 32863
87.6%
2024-05-11T04:58:39.323662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31394
 
16.7%
업 4423
 
2.3%
0 4385
 
2.3%
1 4100
 
2.2%
2 3572
 
1.9%
. 3194
 
1.7%
영 3157
 
1.7%
위 3035
 
1.6%
미 2702
 
1.4%
시 2645
 
1.4%
Other values (726) 125713
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127589
67.8%
Space Separator 31394
 
16.7%
Decimal Number 17874
 
9.5%
Other Punctuation 5426
 
2.9%
Close Punctuation 2472
 
1.3%
Open Punctuation 2459
 
1.3%
Dash Punctuation 679
 
0.4%
Lowercase Letter 224
 
0.1%
Uppercase Letter 103
 
0.1%
Other Symbol 76
 
< 0.1%
Other values (3) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4423
 
3.5%
영 3157
 
2.5%
위 3035
 
2.4%
미 2702
 
2.1%
시 2645
 
2.1%
이 2436
 
1.9%
기 2087
 
1.6%
자 2012
 
1.6%
생 1913
 
1.5%
을 1886
 
1.5%
Other values (648) 101293
79.4%
Uppercase Letter
ValueCountFrequency (%)
O 13
12.6%
A 10
 
9.7%
L 9
 
8.7%
N 8
 
7.8%
T 8
 
7.8%
U 8
 
7.8%
C 6
 
5.8%
H 6
 
5.8%
P 5
 
4.9%
S 4
 
3.9%
Other values (11) 26
25.2%
Lowercase Letter
ValueCountFrequency (%)
g 56
25.0%
m 42
18.8%
o 22
 
9.8%
l 16
 
7.1%
c 14
 
6.2%
r 11
 
4.9%
t 10
 
4.5%
w 10
 
4.5%
u 9
 
4.0%
h 6
 
2.7%
Other values (9) 28
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3194
58.9%
, 965
 
17.8%
: 724
 
13.3%
/ 263
 
4.8%
? 124
 
2.3%
* 121
 
2.2%
% 14
 
0.3%
？ 10
 
0.2%
; 6
 
0.1%
' 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 4385
24.5%
1 4100
22.9%
2 3572
20.0%
3 1261
 
7.1%
4 872
 
4.9%
9 871
 
4.9%
5 798
 
4.5%
6 715
 
4.0%
7 687
 
3.8%
8 613
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 2368
95.8%
] 101
 
4.1%
} 2
 
0.1%
」 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2354
95.7%
[ 101
 
4.1%
{ 3
 
0.1%
「 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎡ 67
88.2%
○ 9
 
11.8%
Final Punctuation
ValueCountFrequency (%)
’ 4
66.7%
” 2
33.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
66.7%
“ 2
33.3%
Space Separator
ValueCountFrequency (%)
31394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 679
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127587
67.8%
Common 60404
32.1%
Latin 327
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4423
 
3.5%
영 3157
 
2.5%
위 3035
 
2.4%
미 2702
 
2.1%
시 2645
 
2.1%
이 2436
 
1.9%
기 2087
 
1.6%
자 2012
 
1.6%
생 1913
 
1.5%
을 1886
 
1.5%
Other values (647) 101291
79.4%
Latin
ValueCountFrequency (%)
g 56
17.1%
m 42
 
12.8%
o 22
 
6.7%
l 16
 
4.9%
c 14
 
4.3%
O 13
 
4.0%
r 11
 
3.4%
A 10
 
3.1%
t 10
 
3.1%
w 10
 
3.1%
Other values (30) 123
37.6%
Common
ValueCountFrequency (%)
31394
52.0%
0 4385
 
7.3%
1 4100
 
6.8%
2 3572
 
5.9%
. 3194
 
5.3%
) 2368
 
3.9%
( 2354
 
3.9%
3 1261
 
2.1%
, 965
 
1.6%
4 872
 
1.4%
Other values (28) 5939
 
9.8%
Han
ValueCountFrequency (%)
男 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127567
67.7%
ASCII 60631
32.2%
CJK Compat 67
 
< 0.1%
Compat Jamo 20
 
< 0.1%
None 12
 
< 0.1%
Punctuation 12
 
< 0.1%
Geometric Shapes 9
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31394
51.8%
0 4385
 
7.2%
1 4100
 
6.8%
2 3572
 
5.9%
. 3194
 
5.3%
) 2368
 
3.9%
( 2354
 
3.9%
3 1261
 
2.1%
, 965
 
1.6%
4 872
 
1.4%
Other values (59) 6166
 
10.2%
Hangul
ValueCountFrequency (%)
업 4423
 
3.5%
영 3157
 
2.5%
위 3035
 
2.4%
미 2702
 
2.1%
시 2645
 
2.1%
이 2436
 
1.9%
기 2087
 
1.6%
자 2012
 
1.6%
생 1913
 
1.5%
을 1886
 
1.5%
Other values (645) 101271
79.4%
CJK Compat
ValueCountFrequency (%)
㎡ 67
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 18
90.0%
ㅇ 2
 
10.0%
None
ValueCountFrequency (%)
？ 10
83.3%
」 1
 
8.3%
「 1
 
8.3%
Geometric Shapes
ValueCountFrequency (%)
○ 9
100.0%
Punctuation
ValueCountFrequency (%)
’ 4
33.3%
‘ 4
33.3%
” 2
16.7%
“ 2
16.7%
CJK
ValueCountFrequency (%)
男 2
100.0%

처분내용
Text

Distinct762
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size53.7 KiB
2024-05-11T04:58:40.136033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length8.9978137
Min length2

Characters and Unicode

Total characters61734
Distinct characters247
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique376 ?
Unique (%)5.5%

Sample

1st row과징금부과(영업정지1월갈음)
2nd row영업정지를 갈음하여 과징금(900,000원)부과
3rd row불문처분
4th row영업소 폐쇄명령
5th row영업소폐쇄(청소년보호법(3차)위반 포함)
ValueCountFrequency (%)
시정명령 1087
 
9.8%
영업정지 1074
 
9.7%
과태료부과 949
 
8.6%
영업소폐쇄 750
 
6.8%
과태료 482
 
4.4%
부과 392
 
3.5%
및 276
 
2.5%
시설개수명령 268
 
2.4%
20만원 234
 
2.1%
과징금부과 213
 
1.9%
Other values (829) 5342
48.3%
2024-05-11T04:58:41.578712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5493
 
8.9%
4230
 
6.9%
0 3434
 
5.6%
부 2794
 
4.5%
정 2748
 
4.5%
업 2408
 
3.9%
료 2391
 
3.9%
영 2358
 
3.8%
원 2337
 
3.8%
태 2317
 
3.8%
Other values (237) 31224
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44521
72.1%
Decimal Number 9051
 
14.7%
Space Separator 4230
 
6.9%
Close Punctuation 1346
 
2.2%
Open Punctuation 1346
 
2.2%
Other Punctuation 1137
 
1.8%
Math Symbol 75
 
0.1%
Dash Punctuation 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.2%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (208) 17969
40.4%
Decimal Number
ValueCountFrequency (%)
0 3434
37.9%
1 1726
19.1%
2 1636
18.1%
5 585
 
6.5%
6 435
 
4.8%
3 311
 
3.4%
4 311
 
3.4%
8 303
 
3.3%
7 215
 
2.4%
9 95
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 469
41.2%
. 422
37.1%
% 159
 
14.0%
: 71
 
6.2%
/ 15
 
1.3%
％ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 61
81.3%
< 5
 
6.7%
> 5
 
6.7%
→ 2
 
2.7%
+ 2
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 1343
99.8%
} 2
 
0.1%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1343
99.8%
{ 2
 
0.1%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44521
72.1%
Common 17213
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.2%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (208) 17969
40.4%
Common
ValueCountFrequency (%)
4230
24.6%
0 3434
20.0%
1 1726
10.0%
2 1636
 
9.5%
) 1343
 
7.8%
( 1343
 
7.8%
5 585
 
3.4%
, 469
 
2.7%
6 435
 
2.5%
. 422
 
2.5%
Other values (19) 1590
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44497
72.1%
ASCII 17210
 
27.9%
Compat Jamo 24
 
< 0.1%
Arrows 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5493
 
12.3%
부 2794
 
6.3%
정 2748
 
6.2%
업 2408
 
5.4%
료 2391
 
5.4%
영 2358
 
5.3%
원 2337
 
5.3%
태 2317
 
5.2%
만 2053
 
4.6%
지 1653
 
3.7%
Other values (207) 17945
40.3%
ASCII
ValueCountFrequency (%)
4230
24.6%
0 3434
20.0%
1 1726
10.0%
2 1636
 
9.5%
) 1343
 
7.8%
( 1343
 
7.8%
5 585
 
3.4%
, 469
 
2.7%
6 435
 
2.5%
. 422
 
2.5%
Other values (17) 1587
 
9.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 24
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
％ 1
100.0%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)2.7%
Missing5494
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean10.524506
Minimum0
Maximum92
Zeros522
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size60.4 KiB
2024-05-11T04:58:42.567405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q315
95-th percentile31
Maximum92
Range92
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.218668
Coefficient of variation (CV)1.3510057
Kurtosis10.899412
Mean10.524506
Median Absolute Deviation (MAD)7
Skewness2.8692001
Sum14387
Variance202.17052
MonotonicityNot monotonic
2024-05-11T04:58:43.134955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 522
 
7.6%
15 368
 
5.4%
7 148
 
2.2%
10 70
 
1.0%
17 56
 
0.8%
5 30
 
0.4%
31 22
 
0.3%
30 21
 
0.3%
59 16
 
0.2%
20 15
 
0.2%
Other values (27) 99
 
1.4%
(Missing) 5494
80.1%
ValueCountFrequency (%)
0 522
7.6%
1 1
 
< 0.1%
2 10
 
0.1%
3 8
 
0.1%
5 30
 
0.4%
6 2
 
< 0.1%
7 148
 
2.2%
8 4
 
0.1%
9 6
 
0.1%
10 70
 
1.0%
ValueCountFrequency (%)
92 4
 
0.1%
91 3
 
< 0.1%
90 2
 
< 0.1%
89 2
 
< 0.1%
76 1
 
< 0.1%
74 4
 
0.1%
62 7
0.1%
61 9
0.1%
60 3
 
< 0.1%
59 16
0.2%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct1345
Distinct (%)43.8%
Missing3789
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean802.77171
Minimum0
Maximum121198
Zeros56
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size60.4 KiB
2024-05-11T04:58:43.788604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.2
Q129.19
median62.29
Q3115.02
95-th percentile594.982
Maximum121198
Range121198
Interquartile range (IQR)85.83

Descriptive statistics

Standard deviation8730.5273
Coefficient of variation (CV)10.87548
Kurtosis185.78253
Mean802.77171
Median Absolute Deviation (MAD)36.29
Skewness13.673298
Sum2466114.7
Variance76222107
MonotonicityNot monotonic
2024-05-11T04:58:44.460822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
0.8%
33.0 34
 
0.5%
30.0 28
 
0.4%
27.77 26
 
0.4%
327.78 22
 
0.3%
97.91 21
 
0.3%
244.42 17
 
0.2%
121198.0 16
 
0.2%
35.0 15
 
0.2%
16.0 15
 
0.2%
Other values (1335) 2822
41.1%
(Missing) 3789
55.2%
ValueCountFrequency (%)
0.0 56
0.8%
1.3 4
 
0.1%
1.7 1
 
< 0.1%
2.0 5
 
0.1%
2.3 1
 
< 0.1%
3.0 9
 
0.1%
3.26 1
 
< 0.1%
3.3 1
 
< 0.1%
3.44 1
 
< 0.1%
3.8 1
 
< 0.1%
ValueCountFrequency (%)
121198.0 16
0.2%
13732.35 1
 
< 0.1%
6202.74 1
 
< 0.1%
6021.12 1
 
< 0.1%
6017.26 1
 
< 0.1%
5146.29 1
 
< 0.1%
4946.03 12
0.2%
4499.32 1
 
< 0.1%
4478.05 1
 
< 0.1%
4476.97 1
 
< 0.1%

Interactions

2024-05-11T04:58:13.010855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:05.848660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:07.290419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:09.264576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:11.516746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:13.296058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:06.128130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:07.591509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:09.605210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:11.848545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:13.564350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:06.418639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:07.995199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:10.067221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:12.126095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:13.866395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:06.738115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:08.474605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:10.534473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:12.394650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:14.141224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:07.006150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:08.855803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:10.867547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:58:12.723019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T04:58:44.784678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.5160.6180.9770.9210.4360.099
업종명0.5161.0000.9980.5040.4760.3030.617
업태명0.6180.9981.0000.6150.5930.4010.716
지도점검일자0.9770.5040.6151.0000.9480.4510.082
위반일자0.9210.4760.5930.9481.0000.4360.000
처분기간0.4360.3030.4010.4510.4361.0000.000
영업장면적(㎡)0.0990.6170.7160.0820.0000.0001.000
2024-05-11T04:58:45.353193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.9980.365-0.0340.201
지도점검일자0.9991.0000.9990.350-0.0350.200
위반일자0.9980.9991.0000.347-0.0350.200
처분기간0.3650.3500.3471.0000.1870.125
영업장면적(㎡)-0.034-0.035-0.0350.1871.0000.388
업종명0.2010.2000.2000.1250.3881.000

Missing values

2024-05-11T04:58:14.622315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T04:58:15.646558image/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.
2024-05-11T04:58:16.293950image/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(㎡)
031700002009073120001숙박업(일반)여관업서울여인숙<NA>서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]20090227처분확정과징금부과(영업정지1월갈음)공중위생관리법 제11조200902272009.02.27 02:00경부터 같은날 13:00경까지 청소년보호법을 위반한 사실이(청소년 이성혼숙 허용) 서울금천경찰서 형사과-1857(2009.03.06)호로 적발, 통보됨.과징금부과(영업정지1월갈음)<NA>105.83
131700002010022320001숙박업(일반)여관업서울여인숙<NA>서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]20091213처분확정영업정지를 갈음하여 과징금(900,000원)부과공중위생관리법제11조및 같은법시행규칙제19조200912132009.12.13. 06:00경 청소년보호법을 위반한 사실이(청소년 이성혼숙 허용) 서울금천경찰서형사과-12453(09.12.31)호로 적발,통보됨영업정지를 갈음하여 과징금(900,000원)부과<NA>105.83
231700002010042820001숙박업(일반)여관업서울여인숙<NA>서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]20100309처분확정불문처분공중위생관리법제11조및 같은법시행규칙제19조201003042010.03.04. 02:00경 청소년보호법을 위반하여 서울금천경찰서 수사과-1659(2010. 03.08)호로 적발,통보됨불문처분<NA>105.83
331700002011050420001숙박업(일반)여관업서울여인숙<NA>서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]20100421처분확정영업소 폐쇄명령공중위생관리법제11조,공중위생관리법시행규칙제19조201004212010.04.21. 02:10경 청소년보호법을 위반한사실(청소년 이성혼숙의 장소를 제공)이 서울금천경찰서 수사과-3912(2010.05.27)호로 적발,통보됨영업소 폐쇄명령<NA>105.83
431700002011050420001숙박업(일반)여관업서울여인숙<NA>서울특별시 금천구 시흥동 883번지 2호 [시흥대로 455]20100824처분확정영업소폐쇄(청소년보호법(3차)위반 포함)공중위생관리법제11조, 같은법시행규칙제19조201008242010.02월 초순경부터2010.06.20경까지 이곳을 찾아오는 불상의 손님들을 상대로 성매매를 하도록 장소를 제공 및 알선한 사실이 서울금천경찰서 생활안전과-6736(2010.08.23)호로 적발,통보됨.영업소폐쇄(청소년보호법(3차)위반 포함)<NA>105.83
531700002008120920002숙박업(일반)여관업산호장<NA>서울특별시 금천구 시흥동 995번지 55호 [금천로 227-1]20080815처분확정과징금부과(영업정지2월 갈음)공중위생관리법 제11조200808152008.08.15 23:30경 청소년보호법을 위반(청소년 이성혼숙 허용)한 사실이 서울금천경찰서 형사과-7631(2008.09.26)호로 적발, 통보됨.과징금부과(영업정지2월 갈음)<NA>255.96
631700002012041020003숙박업(일반)여관업가림장<NA>서울특별시 금천구 시흥동 888번지 17호 [대명시장2길 6]20110810처분확정과징금부과공중위생관리법제11조제1항20110810청소년이성혼숙과징금부과<NA>0.0
731700002019090320003숙박업(일반)여관업가림모텔서울특별시 금천구 시흥대로54길 43, (시흥동)서울특별시 금천구 시흥동 888번지 17호20190515처분확정과징금부과법 제11조제1항20190515청소년 이성혼숙 장소제공과징금부과<NA>0.0
831700002019090320003숙박업(일반)여관업가림모텔서울특별시 금천구 시흥대로54길 43, (시흥동)서울특별시 금천구 시흥동 888번지 17호20190515처분확정과징금부과법 제11조제1항20190515미성년자 이성혼숙 장소 제공(1차)과징금부과<NA>0.0
931700002007032320004숙박업(일반)여관업청명여관<NA>서울특별시 금천구 시흥동 891번지 20호 [광장3길 21]20070121처분확정영업정지1월(기소유예처분으로 1월감경)공중위생관리법 제11조20070124청소년 이성혼숙 허용(1차)영업정지1월(기소유예처분으로 1월감경)<NA>98.79
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
685131700002021123120190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 더내추럴서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 306-58호호 (가산동)서울특별시 금천구 가산동 371번지 41호 가산 에스케이 브이원 센터20211123처분확정과태료 수시분 부과(20만원)법 제47조제1항제6호20211123기존영업자 위생교육 미수료과태료 수시분 부과(20만원)<NA><NA>
685231700002023120720190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 더내추럴서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 306-58호호 (가산동)서울특별시 금천구 가산동 371번지 41호 가산 에스케이 브이원 센터20231027처분확정영업소폐쇄법 제31조 또는 제32조20231110시설물멸실영업소폐쇄<NA>2.0
685331700002023120720190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 더내추럴서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 306-58호호 (가산동)서울특별시 금천구 가산동 371번지 41호 가산 에스케이 브이원 센터20231027처분확정영업소폐쇄법 제31조 또는 제32조20231110시설물멸실영업소폐쇄<NA><NA>
685431700002020082820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(주)코스네이처서울특별시 금천구 가산디지털1로 189, (주)LG 가산 디지털센터 1001-2호 (가산동)서울특별시 금천구 가산동 459번지 9호 (주)LG 가산 디지털센터-1001-220200623처분확정품목제조정지법 제14조부터 제16조까지20200623식품표시광고법 표시기준 위반품목제조정지<NA><NA>
685531700002020082820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(주)코스네이처서울특별시 금천구 가산디지털1로 189, (주)LG 가산 디지털센터 1001-2호 (가산동)서울특별시 금천구 가산동 459번지 9호 (주)LG 가산 디지털센터-1001-220200623처분확정품목제조정지법 제14조부터 제17조까지20200623체험기 활용 광고품목제조정지<NA><NA>
685631700002023042820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(주)코스네이처서울특별시 금천구 가산디지털1로 189, (주)LG 가산 디지털센터 1001-2호 (가산동)서울특별시 금천구 가산동 459번지 9호 (주)LG 가산 디지털센터-1001-220230413처분확정과태료50만원 부과(감경금액 40만원)법 제47조제2항20230208이상사례 미보고과태료50만원 부과(감경금액 40만원)<NA><NA>
685731700002022021420200269813건강기능식품유통전문판매업건강기능식품유통전문판매업네오스서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 306-94호 (가산동)서울특별시 금천구 가산동 371번지 41호 가산 에스케이 브이원 센터20220204처분확정과태료부과50만원법 제47조제2항20220204건강기능식품에 관한 법률 제10조의2제1항 및 같은 법 시행규칙 제12조의2에 따라 영업자는 건강기능식품으로 인하여 발생하였다고 의심되는 바람직하지 아니하고 의도되지 아니한 징후, 증상 또는 질병(이하 이상사례라 한다)을 알게 된 경우에는 총리령으로 정하는 바에 따라 식품의약품안전처장에게 보고하여야하나, 소비자상담시 이상증상관련하여 접수받았음에도 관련 증상을 보고하지 않고 상기 규정을 위반하였음.과태료부과50만원<NA>1.3
685831700002023073120200269813건강기능식품유통전문판매업건강기능식품유통전문판매업네오스서울특별시 금천구 가산디지털1로 171, 가산 에스케이 브이원 센터 306-94호 (가산동)서울특별시 금천구 가산동 371번지 41호 가산 에스케이 브이원 센터20230628처분확정과태료100만원(감경금액 80만원)부과법 제47조제2항20230628이상사례 미보고(3차)과태료100만원(감경금액 80만원)부과<NA>1.3
685931700002023122820200099550건강기능식품유통전문판매업건강기능식품유통전문판매업(주)뉴로바이오로직스서울특별시 금천구 디지털로9길 47, 한신IT 타워2차 704-1(18)호 (가산동)서울특별시 금천구 가산동 60번지 18호 한신IT 타워2차20231027처분확정영업소폐쇄법 제31조 또는 제32조20231110시설물멸실영업소폐쇄<NA>4.1
686031700002023033120210085079건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 인스코비서울특별시 금천구 디지털로9길 47, 한신IT 타워2차 306-2호 (가산동)서울특별시 금천구 가산동 60번지 18호 한신IT 타워2차20230216처분확정과태료100만원(경감금액 80만원)부과제36조20230216포장된 건강기능식품을 소분하여 판매과태료100만원(경감금액 80만원)부과<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
15631700002008120120000084411식품제조가공업식품제조가공업정정식품<NA>서울특별시 금천구 독산동 969번지 11호 (지상 1층) [독산고개길 22]20081111처분확정품목제조정지 15일 및 당해제품폐기식품위생법 제59조제1항, 동법 제7조20081111기준과 규격 위반(대장균 부적합)품목제조정지 15일 및 당해제품폐기15<NA>18
15831700002008120120000084411식품제조가공업식품제조가공업정정식품<NA>서울특별시 금천구 독산동 969번지 11호 (지상 1층) [독산고개길 22]20081111처분확정품목제조정지15일 및 당해제품폐기식품위생법 제59조제1항, 동법 제7조20081111기준과 규격 위반(대장균 부적합)품목제조정지15일 및 당해제품폐기15<NA>18
35831700002016071520070084367일반음식점일식아라참치서울특별시 금천구 가산디지털1로 186, (가산동,제이플라츠 B126호)서울특별시 금천구 가산동 459번지 11호 제이플라츠 B126호20160621처분확정과태료부과법 제101조제2항 제1호20160621건강진단을 받지 아니한 종업원과태료부과<NA><NA>8
35931700002016071520070084367일반음식점일식아라참치서울특별시 금천구 가산디지털1로 186, (가산동,제이플라츠 B126호)서울특별시 금천구 가산동 459번지 11호 제이플라츠 B126호20160621처분확정과태료부과법 제101조제2항제1호20160621건강진단을 받지 아니한 한자를 영업에 종사시킨 영업자(3명중 1명)과태료부과<NA><NA>8
3431700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 55조20050607식품위생법 제22조 6호과태료부과 200,000원0<NA>6
3531700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 78조 1항1호 및 동법 시행령 제54조 3항20050607식품위생법 제3조 1항과태료부과 200,000원0<NA>6
3631700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 제57조 및 동법시행규칙 제53조20050607식품위생법 제21조 1항과태료부과 200,000원0<NA>6
3731700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 55조20050607식품위생법 제22조 6호시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA>6
3831700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 78조 1항1호 및 동법 시행령 제54조 3항20050607식품위생법 제3조 1항시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA>6
3931700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 제57조 및 동법시행규칙 제53조20050607식품위생법 제21조 1항시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA>6