Overview

Dataset statistics

Number of variables18
Number of observations6308
Missing cells11867
Missing cells (%)10.5%
Duplicate rows459
Duplicate rows (%)7.3%
Total size in memory930.3 KiB
Average record size in memory151.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-10142/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 459 (7.3%) duplicate rowsDuplicates
업종명 is highly overall correlated with 운영형태High correlation
운영형태 is highly overall correlated with 처분일자 and 4 other fieldsHigh correlation
처분일자 is highly overall correlated with 교부번호 and 3 other fieldsHigh correlation
교부번호 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
운영형태 is highly imbalanced (94.0%)Imbalance
소재지도로명 has 3082 (48.9%) missing valuesMissing
처분기간 has 5014 (79.5%) missing valuesMissing
영업장면적(㎡) has 3687 (58.4%) missing valuesMissing
영업장면적(㎡) is highly skewed (γ1 = 21.29450184)Skewed
처분기간 has 491 (7.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:33:37.535841
Analysis finished2024-05-11 05:33:57.784121
Duration20.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
3170000
6308 

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 6308
100.0%

Length

2024-05-11T05:33:58.221914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:33:58.660377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 6308
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct1881
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131272
Minimum19990906
Maximum20240508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:33:59.050528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990906
5-th percentile20041101
Q120080807
median20131110
Q320171213
95-th percentile20230526
Maximum20240508
Range249602
Interquartile range (IQR)90406.25

Descriptive statistics

Standard deviation57444.425
Coefficient of variation (CV)0.0028534921
Kurtosis-1.0174608
Mean20131272
Median Absolute Deviation (MAD)49704.5
Skewness0.071313624
Sum1.2698806 × 1011
Variance3.299862 × 109
MonotonicityNot monotonic
2024-05-11T05:33:59.520706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050624 69
 
1.1%
20080506 67
 
1.1%
20150123 64
 
1.0%
20081201 63
 
1.0%
20220119 58
 
0.9%
20170329 57
 
0.9%
20240223 52
 
0.8%
20080616 51
 
0.8%
20051229 40
 
0.6%
20240216 39
 
0.6%
Other values (1871) 5748
91.1%
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%
20240322 2
 
< 0.1%
20240320 2
 
< 0.1%
20240305 3
 
< 0.1%
20240226 3
 
< 0.1%
20240223 52
0.8%
20240222 1
 
< 0.1%
20240219 1
 
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct2770
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0042683 × 1010
Minimum1.9730084 × 1010
Maximum2.0230112 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:34:00.120665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9730084 × 1010
5-th percentile1.9870084 × 1010
Q11.9990085 × 1010
median2.0050084 × 1010
Q32.0100085 × 1010
95-th percentile2.0180085 × 1010
Maximum2.0230112 × 1010
Range5.0002758 × 108
Interquartile range (IQR)1.1000001 × 108

Descriptive statistics

Standard deviation91297256
Coefficient of variation (CV)0.0045551414
Kurtosis0.22995282
Mean2.0042683 × 1010
Median Absolute Deviation (MAD)59999594
Skewness-0.49971545
Sum1.2642925 × 1014
Variance8.335189 × 1015
MonotonicityNot monotonic
2024-05-11T05:34:01.023764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000084411 154
 
2.4%
20010084111 66
 
1.0%
20060084571 52
 
0.8%
20020084253 52
 
0.8%
20030084418 42
 
0.7%
20170084350 32
 
0.5%
20160084444 30
 
0.5%
20180040215 30
 
0.5%
20120084385 30
 
0.5%
20050084385 27
 
0.4%
Other values (2760) 5793
91.8%
ValueCountFrequency (%)
19730084006 2
 
< 0.1%
19750084006 1
 
< 0.1%
19760084006 2
 
< 0.1%
19770084011 1
 
< 0.1%
19770084014 4
0.1%
19780084003 6
0.1%
19780084006 4
0.1%
19780084020 1
 
< 0.1%
19780084026 1
 
< 0.1%
19780084028 2
 
< 0.1%
ValueCountFrequency (%)
20230111583 1
< 0.1%
20230111271 1
< 0.1%
20230111251 1
< 0.1%
20230111224 1
< 0.1%
20230111219 1
< 0.1%
20230111194 1
< 0.1%
20230111167 1
< 0.1%
20230111110 2
< 0.1%
20230111099 2
< 0.1%
20220103958 1
< 0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
일반음식점
3428 
식품제조가공업
793 
단란주점
385 
유흥주점영업
 
333
휴게음식점
 
240
Other values (16)
1129 

Length

Max length13
Median length5
Mean length5.8121433
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3428
54.3%
식품제조가공업 793
 
12.6%
단란주점 385
 
6.1%
유흥주점영업 333
 
5.3%
휴게음식점 240
 
3.8%
즉석판매제조가공업 227
 
3.6%
유통전문판매업 187
 
3.0%
식품등 수입판매업 180
 
2.9%
건강기능식품일반판매업 132
 
2.1%
제과점영업 98
 
1.6%
Other values (11) 305
 
4.8%

Length

2024-05-11T05:34:01.639488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 3428
52.8%
식품제조가공업 793
 
12.2%
단란주점 385
 
5.9%
유흥주점영업 333
 
5.1%
휴게음식점 240
 
3.7%
즉석판매제조가공업 227
 
3.5%
유통전문판매업 187
 
2.9%
식품등 180
 
2.8%
수입판매업 180
 
2.8%
건강기능식품일반판매업 132
 
2.0%
Other values (12) 403
 
6.2%

업태명
Text

Distinct62
Distinct (%)1.0%
Missing44
Missing (%)0.7%
Memory size49.4 KiB
2024-05-11T05:34:02.245708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.7940613
Min length2

Characters and Unicode

Total characters30030
Distinct characters141
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row중국식
2nd row한식
3rd row한식
4th row한식
5th row한식
ValueCountFrequency (%)
한식 1435
21.8%
식품제조가공업 789
12.0%
호프/통닭 772
11.7%
단란주점 385
 
5.9%
룸살롱 312
 
4.7%
즉석판매제조가공업 227
 
3.5%
중국식 226
 
3.4%
분식 201
 
3.1%
유통전문판매업 187
 
2.8%
식품등 180
 
2.7%
Other values (53) 1863
28.3%
2024-05-11T05:34:03.666887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3420
 
11.4%
업 1803
 
6.0%
한 1435
 
4.8%
통 1223
 
4.1%
품 1176
 
3.9%
제 1128
 
3.8%
/ 1114
 
3.7%
조 1093
 
3.6%
가 1018
 
3.4%
공 1016
 
3.4%
Other values (131) 15604
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28007
93.3%
Other Punctuation 1124
 
3.7%
Space Separator 313
 
1.0%
Close Punctuation 293
 
1.0%
Open Punctuation 293
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3420
 
12.2%
업 1803
 
6.4%
한 1435
 
5.1%
통 1223
 
4.4%
품 1176
 
4.2%
제 1128
 
4.0%
조 1093
 
3.9%
가 1018
 
3.6%
공 1016
 
3.6%
닭 934
 
3.3%
Other values (125) 13761
49.1%
Other Punctuation
ValueCountFrequency (%)
/ 1114
99.1%
. 8
 
0.7%
, 2
 
0.2%
Space Separator
ValueCountFrequency (%)
313
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28007
93.3%
Common 2023
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3420
 
12.2%
업 1803
 
6.4%
한 1435
 
5.1%
통 1223
 
4.4%
품 1176
 
4.2%
제 1128
 
4.0%
조 1093
 
3.9%
가 1018
 
3.6%
공 1016
 
3.6%
닭 934
 
3.3%
Other values (125) 13761
49.1%
Common
ValueCountFrequency (%)
/ 1114
55.1%
313
 
15.5%
) 293
 
14.5%
( 293
 
14.5%
. 8
 
0.4%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28007
93.3%
ASCII 2023
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3420
 
12.2%
업 1803
 
6.4%
한 1435
 
5.1%
통 1223
 
4.4%
품 1176
 
4.2%
제 1128
 
4.0%
조 1093
 
3.9%
가 1018
 
3.6%
공 1016
 
3.6%
닭 934
 
3.3%
Other values (125) 13761
49.1%
ASCII
ValueCountFrequency (%)
/ 1114
55.1%
313
 
15.5%
) 293
 
14.5%
( 293
 
14.5%
. 8
 
0.4%
, 2
 
0.1%

업소명
Text

Distinct2788
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
2024-05-11T05:34:04.484418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length5.7563412
Min length1

Characters and Unicode

Total characters36311
Distinct characters841
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

Unique1601 ?
Unique (%)25.4%

Sample

1st row대원반점
2nd row서야왕족발
3rd row서야왕족발
4th row서야왕족발
5th row서야왕족발
ValueCountFrequency (%)
정정식품 112
 
1.5%
주식회사 106
 
1.5%
그랜드식품 64
 
0.9%
옛맛한과 52
 
0.7%
광원식품 52
 
0.7%
주)에스엘바이오텍 42
 
0.6%
에이스뉴식품(ace뉴食品 42
 
0.6%
주)트래디스바이오 32
 
0.4%
형제식당 27
 
0.4%
주)본야록 27
 
0.4%
Other values (3047) 6688
92.3%
2024-05-11T05:34:05.876477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 955
 
2.6%
936
 
2.6%
식 894
 
2.5%
이 815
 
2.2%
) 793
 
2.2%
( 791
 
2.2%
스 662
 
1.8%
점 507
 
1.4%
리 495
 
1.4%
품 480
 
1.3%
Other values (831) 28983
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32063
88.3%
Space Separator 936
 
2.6%
Close Punctuation 793
 
2.2%
Open Punctuation 791
 
2.2%
Uppercase Letter 738
 
2.0%
Decimal Number 532
 
1.5%
Lowercase Letter 355
 
1.0%
Other Punctuation 94
 
0.3%
Dash Punctuation 7
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 955
 
3.0%
식 894
 
2.8%
이 815
 
2.5%
스 662
 
2.1%
점 507
 
1.6%
리 495
 
1.5%
품 480
 
1.5%
마 405
 
1.3%
산 403
 
1.3%
바 391
 
1.2%
Other values (763) 26056
81.3%
Uppercase Letter
ValueCountFrequency (%)
A 113
15.3%
E 75
10.2%
C 72
9.8%
R 62
 
8.4%
T 58
 
7.9%
B 47
 
6.4%
L 44
 
6.0%
S 37
 
5.0%
I 34
 
4.6%
K 24
 
3.3%
Other values (13) 172
23.3%
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%
c 13
 
3.7%
Other values (10) 64
18.0%
Decimal Number
ValueCountFrequency (%)
0 155
29.1%
2 93
17.5%
7 61
 
11.5%
8 57
 
10.7%
4 48
 
9.0%
1 39
 
7.3%
5 26
 
4.9%
9 21
 
3.9%
3 20
 
3.8%
6 12
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 39
41.5%
. 28
29.8%
, 7
 
7.4%
？ 5
 
5.3%
; 5
 
5.3%
# 4
 
4.3%
' 2
 
2.1%
＆ 2
 
2.1%
? 1
 
1.1%
/ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
936
100.0%
Close Punctuation
ValueCountFrequency (%)
) 793
100.0%
Open Punctuation
ValueCountFrequency (%)
( 791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31972
88.1%
Common 3153
 
8.7%
Latin 1095
 
3.0%
Han 91
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 955
 
3.0%
식 894
 
2.8%
이 815
 
2.5%
스 662
 
2.1%
점 507
 
1.6%
리 495
 
1.5%
품 480
 
1.5%
마 405
 
1.3%
산 403
 
1.3%
바 391
 
1.2%
Other values (756) 25965
81.2%
Latin
ValueCountFrequency (%)
A 113
 
10.3%
E 75
 
6.8%
C 72
 
6.6%
e 67
 
6.1%
R 62
 
5.7%
T 58
 
5.3%
B 47
 
4.3%
o 46
 
4.2%
L 44
 
4.0%
S 37
 
3.4%
Other values (34) 474
43.3%
Common
ValueCountFrequency (%)
936
29.7%
) 793
25.2%
( 791
25.1%
0 155
 
4.9%
2 93
 
2.9%
7 61
 
1.9%
8 57
 
1.8%
4 48
 
1.5%
1 39
 
1.2%
& 39
 
1.2%
Other values (14) 141
 
4.5%
Han
ValueCountFrequency (%)
品 42
46.2%
食 42
46.2%
和 2
 
2.2%
世 2
 
2.2%
愛 1
 
1.1%
美 1
 
1.1%
辛 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31972
88.1%
ASCII 4239
 
11.7%
CJK 91
 
0.3%
None 7
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 955
 
3.0%
식 894
 
2.8%
이 815
 
2.5%
스 662
 
2.1%
점 507
 
1.6%
리 495
 
1.5%
품 480
 
1.5%
마 405
 
1.3%
산 403
 
1.3%
바 391
 
1.2%
Other values (756) 25965
81.2%
ASCII
ValueCountFrequency (%)
936
22.1%
) 793
18.7%
( 791
18.7%
0 155
 
3.7%
A 113
 
2.7%
2 93
 
2.2%
E 75
 
1.8%
C 72
 
1.7%
e 67
 
1.6%
R 62
 
1.5%
Other values (55) 1082
25.5%
CJK
ValueCountFrequency (%)
品 42
46.2%
食 42
46.2%
和 2
 
2.2%
世 2
 
2.2%
愛 1
 
1.1%
美 1
 
1.1%
辛 1
 
1.1%
None
ValueCountFrequency (%)
？ 5
71.4%
＆ 2
 
28.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

소재지도로명
Text

MISSING 

Distinct1505
Distinct (%)46.7%
Missing3082
Missing (%)48.9%
Memory size49.4 KiB
2024-05-11T05:34:06.637083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length56
Mean length36.66925
Min length23

Characters and Unicode

Total characters118295
Distinct characters313
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

Unique894 ?
Unique (%)27.7%

Sample

1st row서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)
2nd row서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)
3rd row서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)
4th row서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)
5th row서울특별시 금천구 시흥대로78길 16, (독산동, 지상1층)
ValueCountFrequency (%)
금천구 3227
 
15.3%
서울특별시 3226
 
15.3%
가산동 1023
 
4.9%
지상1층 908
 
4.3%
독산동 756
 
3.6%
시흥동 738
 
3.5%
가산디지털1로 431
 
2.0%
지하1층 398
 
1.9%
시흥대로 257
 
1.2%
독산로 246
 
1.2%
Other values (1542) 9875
46.8%
2024-05-11T05:34:07.985809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17880
 
15.1%
1 6347
 
5.4%
, 5391
 
4.6%
시 5210
 
4.4%
산 4006
 
3.4%
) 3690
 
3.1%
( 3690
 
3.1%
금 3544
 
3.0%
동 3456
 
2.9%
서 3350
 
2.8%
Other values (303) 61731
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66500
56.2%
Decimal Number 19496
 
16.5%
Space Separator 17880
 
15.1%
Other Punctuation 5392
 
4.6%
Close Punctuation 3728
 
3.2%
Open Punctuation 3728
 
3.2%
Uppercase Letter 993
 
0.8%
Dash Punctuation 529
 
0.4%
Math Symbol 25
 
< 0.1%
Lowercase Letter 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5210
 
7.8%
산 4006
 
6.0%
금 3544
 
5.3%
동 3456
 
5.2%
서 3350
 
5.0%
천 3311
 
5.0%
울 3254
 
4.9%
구 3251
 
4.9%
로 3232
 
4.9%
별 3227
 
4.9%
Other values (254) 30659
46.1%
Uppercase Letter
ValueCountFrequency (%)
B 333
33.5%
L 145
14.6%
G 127
 
12.8%
A 104
 
10.5%
T 48
 
4.8%
S 41
 
4.1%
J 30
 
3.0%
C 29
 
2.9%
I 26
 
2.6%
W 19
 
1.9%
Other values (15) 91
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 6347
32.6%
2 2795
14.3%
3 1861
 
9.5%
0 1703
 
8.7%
4 1338
 
6.9%
6 1273
 
6.5%
8 1206
 
6.2%
5 1179
 
6.0%
9 927
 
4.8%
7 867
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
b 18
75.0%
e 3
 
12.5%
l 1
 
4.2%
i 1
 
4.2%
c 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 5391
> 99.9%
: 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3690
99.0%
] 38
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 3690
99.0%
[ 38
 
1.0%
Space Separator
ValueCountFrequency (%)
17880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66500
56.2%
Common 50778
42.9%
Latin 1017
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5210
 
7.8%
산 4006
 
6.0%
금 3544
 
5.3%
동 3456
 
5.2%
서 3350
 
5.0%
천 3311
 
5.0%
울 3254
 
4.9%
구 3251
 
4.9%
로 3232
 
4.9%
별 3227
 
4.9%
Other values (254) 30659
46.1%
Latin
ValueCountFrequency (%)
B 333
32.7%
L 145
14.3%
G 127
 
12.5%
A 104
 
10.2%
T 48
 
4.7%
S 41
 
4.0%
J 30
 
2.9%
C 29
 
2.9%
I 26
 
2.6%
W 19
 
1.9%
Other values (20) 115
 
11.3%
Common
ValueCountFrequency (%)
17880
35.2%
1 6347
 
12.5%
, 5391
 
10.6%
) 3690
 
7.3%
( 3690
 
7.3%
2 2795
 
5.5%
3 1861
 
3.7%
0 1703
 
3.4%
4 1338
 
2.6%
6 1273
 
2.5%
Other values (9) 4810
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66500
56.2%
ASCII 51795
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17880
34.5%
1 6347
 
12.3%
, 5391
 
10.4%
) 3690
 
7.1%
( 3690
 
7.1%
2 2795
 
5.4%
3 1861
 
3.6%
0 1703
 
3.3%
4 1338
 
2.6%
6 1273
 
2.5%
Other values (39) 5827
 
11.3%
Hangul
ValueCountFrequency (%)
시 5210
 
7.8%
산 4006
 
6.0%
금 3544
 
5.3%
동 3456
 
5.2%
서 3350
 
5.0%
천 3311
 
5.0%
울 3254
 
4.9%
구 3251
 
4.9%
로 3232
 
4.9%
별 3227
 
4.9%
Other values (254) 30659
46.1%

소재지지번
Text

Distinct2791
Distinct (%)44.5%
Missing40
Missing (%)0.6%
Memory size49.4 KiB
2024-05-11T05:34:08.854516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length60
Mean length33.422463
Min length21

Characters and Unicode

Total characters209492
Distinct characters331
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

Unique1581 ?
Unique (%)25.2%

Sample

1st row서울특별시 금천구 시흥동 263번지 13호 2층
2nd row서울특별시 금천구 시흥동 880번지 29호
3rd row서울특별시 금천구 시흥동 880번지 29호
4th row서울특별시 금천구 시흥동 880번지 29호
5th row서울특별시 금천구 시흥동 880번지 29호
ValueCountFrequency (%)
금천구 6327
 
15.9%
서울특별시 6268
 
15.7%
독산동 2456
 
6.2%
시흥동 1984
 
5.0%
가산동 1829
 
4.6%
지상1층 1272
 
3.2%
지하1층 665
 
1.7%
1호 424
 
1.1%
11호 332
 
0.8%
6호 312
 
0.8%
Other values (1976) 18017
45.2%
2024-05-11T05:34:10.191329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47621
22.7%
1 10350
 
4.9%
지 9383
 
4.5%
시 8731
 
4.2%
동 6712
 
3.2%
금 6554
 
3.1%
천 6530
 
3.1%
구 6425
 
3.1%
호 6389
 
3.0%
서 6312
 
3.0%
Other values (321) 94485
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113959
54.4%
Space Separator 47621
22.7%
Decimal Number 40814
 
19.5%
Close Punctuation 2317
 
1.1%
Open Punctuation 2317
 
1.1%
Uppercase Letter 961
 
0.5%
Dash Punctuation 942
 
0.4%
Other Punctuation 546
 
0.3%
Math Symbol 9
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9383
 
8.2%
시 8731
 
7.7%
동 6712
 
5.9%
금 6554
 
5.8%
천 6530
 
5.7%
구 6425
 
5.6%
호 6389
 
5.6%
서 6312
 
5.5%
울 6295
 
5.5%
별 6277
 
5.5%
Other values (272) 44351
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 306
31.8%
A 144
15.0%
L 106
 
11.0%
G 79
 
8.2%
S 54
 
5.6%
T 53
 
5.5%
I 43
 
4.5%
J 34
 
3.5%
M 20
 
2.1%
K 18
 
1.9%
Other values (14) 104
 
10.8%
Decimal Number
ValueCountFrequency (%)
1 10350
25.4%
2 4853
11.9%
9 4142
10.1%
3 3763
 
9.2%
0 3728
 
9.1%
8 3530
 
8.6%
4 3313
 
8.1%
5 2675
 
6.6%
6 2264
 
5.5%
7 2196
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 469
85.9%
: 55
 
10.1%
. 21
 
3.8%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
i 1
 
16.7%
l 1
 
16.7%
c 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 1959
84.5%
] 358
 
15.5%
Open Punctuation
ValueCountFrequency (%)
( 1959
84.5%
[ 358
 
15.5%
Space Separator
ValueCountFrequency (%)
47621
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 942
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113959
54.4%
Common 94566
45.1%
Latin 967
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9383
 
8.2%
시 8731
 
7.7%
동 6712
 
5.9%
금 6554
 
5.8%
천 6530
 
5.7%
구 6425
 
5.6%
호 6389
 
5.6%
서 6312
 
5.5%
울 6295
 
5.5%
별 6277
 
5.5%
Other values (272) 44351
38.9%
Latin
ValueCountFrequency (%)
B 306
31.6%
A 144
14.9%
L 106
 
11.0%
G 79
 
8.2%
S 54
 
5.6%
T 53
 
5.5%
I 43
 
4.4%
J 34
 
3.5%
M 20
 
2.1%
K 18
 
1.9%
Other values (18) 110
 
11.4%
Common
ValueCountFrequency (%)
47621
50.4%
1 10350
 
10.9%
2 4853
 
5.1%
9 4142
 
4.4%
3 3763
 
4.0%
0 3728
 
3.9%
8 3530
 
3.7%
4 3313
 
3.5%
5 2675
 
2.8%
6 2264
 
2.4%
Other values (11) 8327
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113959
54.4%
ASCII 95533
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47621
49.8%
1 10350
 
10.8%
2 4853
 
5.1%
9 4142
 
4.3%
3 3763
 
3.9%
0 3728
 
3.9%
8 3530
 
3.7%
4 3313
 
3.5%
5 2675
 
2.8%
6 2264
 
2.4%
Other values (39) 9294
 
9.7%
Hangul
ValueCountFrequency (%)
지 9383
 
8.2%
시 8731
 
7.7%
동 6712
 
5.9%
금 6554
 
5.8%
천 6530
 
5.7%
구 6425
 
5.6%
호 6389
 
5.6%
서 6312
 
5.5%
울 6295
 
5.5%
별 6277
 
5.5%
Other values (272) 44351
38.9%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2050
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129711
Minimum19990810
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:34:10.805769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile20041006
Q120080722
median20130830
Q320171104
95-th percentile20230411
Maximum20240314
Range249504
Interquartile range (IQR)90381.75

Descriptive statistics

Standard deviation56450.267
Coefficient of variation (CV)0.0028043258
Kurtosis-1.0236356
Mean20129711
Median Absolute Deviation (MAD)49719
Skewness0.048304267
Sum1.2697822 × 1011
Variance3.1866326 × 109
MonotonicityNot monotonic
2024-05-11T05:34:11.322929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050607 64
 
1.0%
20150810 64
 
1.0%
20191113 62
 
1.0%
20080508 54
 
0.9%
20141217 52
 
0.8%
20081111 44
 
0.7%
20100531 41
 
0.6%
20211122 37
 
0.6%
20140528 33
 
0.5%
20180727 31
 
0.5%
Other values (2040) 5826
92.4%
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%
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%
20240116 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
처분확정
6308 

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 6308
100.0%

Length

2024-05-11T05:34:11.858023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:34:12.207632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 6308
100.0%

처분명
Text

Distinct655
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
2024-05-11T05:34:12.866335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length8.9893786
Min length2

Characters and Unicode

Total characters56705
Distinct characters222
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

Unique308 ?
Unique (%)4.9%

Sample

1st row영업신고취소
2nd row과태료 10만원(감경금액 8만원) 부과
3rd row과태료 10만원(감경금액 8만원) 부과
4th row과태료 본처분 40만원
5th row과태료 본처분 40만원
ValueCountFrequency (%)
시정명령 1087
 
10.7%
영업정지 1009
 
9.9%
과태료부과 871
 
8.6%
영업소폐쇄 720
 
7.1%
과태료 469
 
4.6%
부과 369
 
3.6%
시설개수명령 268
 
2.6%
및 249
 
2.4%
20만원 231
 
2.3%
과징금 184
 
1.8%
Other values (723) 4712
46.3%
2024-05-11T05:34:14.233828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4989
 
8.8%
3881
 
6.8%
0 3095
 
5.5%
정 2623
 
4.6%
부 2548
 
4.5%
업 2254
 
4.0%
료 2224
 
3.9%
원 2220
 
3.9%
영 2207
 
3.9%
태 2152
 
3.8%
Other values (212) 28512
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41032
72.4%
Decimal Number 8294
 
14.6%
Space Separator 3881
 
6.8%
Close Punctuation 1215
 
2.1%
Open Punctuation 1215
 
2.1%
Other Punctuation 986
 
1.7%
Math Symbol 56
 
0.1%
Dash Punctuation 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (185) 16246
39.6%
Decimal Number
ValueCountFrequency (%)
0 3095
37.3%
1 1612
19.4%
2 1498
18.1%
5 552
 
6.7%
6 407
 
4.9%
4 298
 
3.6%
3 283
 
3.4%
8 271
 
3.3%
7 198
 
2.4%
9 80
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 382
38.7%
, 364
36.9%
% 159
16.1%
: 66
 
6.7%
/ 14
 
1.4%
％ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1212
99.8%
} 2
 
0.2%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1212
99.8%
{ 2
 
0.2%
[ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 52
92.9%
→ 2
 
3.6%
+ 2
 
3.6%
Space Separator
ValueCountFrequency (%)
3881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41032
72.4%
Common 15673
 
27.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (185) 16246
39.6%
Common
ValueCountFrequency (%)
3881
24.8%
0 3095
19.7%
1 1612
10.3%
2 1498
 
9.6%
) 1212
 
7.7%
( 1212
 
7.7%
5 552
 
3.5%
6 407
 
2.6%
. 382
 
2.4%
, 364
 
2.3%
Other values (17) 1458
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41008
72.3%
ASCII 15670
 
27.6%
Compat Jamo 24
 
< 0.1%
Arrows 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (184) 16222
39.6%
ASCII
ValueCountFrequency (%)
3881
24.8%
0 3095
19.8%
1 1612
10.3%
2 1498
 
9.6%
) 1212
 
7.7%
( 1212
 
7.7%
5 552
 
3.5%
6 407
 
2.6%
. 382
 
2.4%
, 364
 
2.3%
Other values (15) 1455
 
9.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 24
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
％ 1
100.0%

법적근거
Text

Distinct600
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
2024-05-11T05:34:15.116275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length14.693722
Min length4

Characters and Unicode

Total characters92688
Distinct characters114
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique254 ?
Unique (%)4.0%

Sample

1st row식품위생법 제21조및 동법 제58조
2nd row법 제101조제4항1호
3rd row법 제101조제4항1호
4th row법 제101조제4항1호
5th row법 제101조제4항1호
ValueCountFrequency (%)
법 4194
20.2%
식품위생법 3323
16.0%
및 1534
 
7.4%
제75조 1375
 
6.6%
제71조 927
 
4.5%
제101조제2항제1호 488
 
2.4%
제31조 462
 
2.2%
동법 412
 
2.0%
제74조 408
 
2.0%
제101조제2항 352
 
1.7%
Other values (385) 7244
35.0%
2024-05-11T05:34:16.525290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14440
15.6%
제 12111
13.1%
조 9014
9.7%
법 8460
 
9.1%
1 7483
 
8.1%
7 4200
 
4.5%
위 3987
 
4.3%
식 3723
 
4.0%
품 3723
 
4.0%
생 3666
 
4.0%
Other values (104) 21881
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53688
57.9%
Decimal Number 23319
25.2%
Space Separator 14440
 
15.6%
Other Punctuation 1169
 
1.3%
Close Punctuation 37
 
< 0.1%
Open Punctuation 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 12111
22.6%
조 9014
16.8%
법 8460
15.8%
위 3987
 
7.4%
식 3723
 
6.9%
품 3723
 
6.9%
생 3666
 
6.8%
항 2491
 
4.6%
및 1542
 
2.9%
호 1405
 
2.6%
Other values (89) 3566
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 7483
32.1%
7 4200
18.0%
2 2810
 
12.1%
5 2463
 
10.6%
0 1755
 
7.5%
4 1682
 
7.2%
3 1436
 
6.2%
6 796
 
3.4%
8 471
 
2.0%
9 223
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1157
99.0%
. 12
 
1.0%
Space Separator
ValueCountFrequency (%)
14440
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53688
57.9%
Common 39000
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 12111
22.6%
조 9014
16.8%
법 8460
15.8%
위 3987
 
7.4%
식 3723
 
6.9%
품 3723
 
6.9%
생 3666
 
6.8%
항 2491
 
4.6%
및 1542
 
2.9%
호 1405
 
2.6%
Other values (89) 3566
 
6.6%
Common
ValueCountFrequency (%)
14440
37.0%
1 7483
19.2%
7 4200
 
10.8%
2 2810
 
7.2%
5 2463
 
6.3%
0 1755
 
4.5%
4 1682
 
4.3%
3 1436
 
3.7%
, 1157
 
3.0%
6 796
 
2.0%
Other values (5) 778
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53686
57.9%
ASCII 39000
42.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14440
37.0%
1 7483
19.2%
7 4200
 
10.8%
2 2810
 
7.2%
5 2463
 
6.3%
0 1755
 
4.5%
4 1682
 
4.3%
3 1436
 
3.7%
, 1157
 
3.0%
6 796
 
2.0%
Other values (5) 778
 
2.0%
Hangul
ValueCountFrequency (%)
제 12111
22.6%
조 9014
16.8%
법 8460
15.8%
위 3987
 
7.4%
식 3723
 
6.9%
품 3723
 
6.9%
생 3666
 
6.8%
항 2491
 
4.6%
및 1542
 
2.9%
호 1405
 
2.6%
Other values (87) 3564
 
6.6%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
50.0%
ㅈ 1
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2053
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129585
Minimum19870630
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:34:17.199611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870630
5-th percentile20041005
Q120080720
median20130830
Q320171102
95-th percentile20230101
Maximum20240314
Range369684
Interquartile range (IQR)90382

Descriptive statistics

Standard deviation56466.101
Coefficient of variation (CV)0.0028051299
Kurtosis-0.97021006
Mean20129585
Median Absolute Deviation (MAD)49719
Skewness0.035793616
Sum1.2697742 × 1011
Variance3.1884206 × 109
MonotonicityNot monotonic
2024-05-11T05:34:17.693354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 125
 
2.0%
20211213 87
 
1.4%
20050607 64
 
1.0%
20150810 63
 
1.0%
20191113 56
 
0.9%
20141217 54
 
0.9%
20080508 54
 
0.9%
20081111 44
 
0.7%
20100531 41
 
0.6%
20211122 37
 
0.6%
Other values (2043) 5683
90.1%
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%
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%
20240116 1
 
< 0.1%

위반내용
Text

Distinct2134
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
2024-05-11T05:34:18.665434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length333
Median length207
Mean length26.375079
Min length4

Characters and Unicode

Total characters166374
Distinct characters725
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

Unique1257 ?
Unique (%)19.9%

Sample

1st row영업장시설물 멸실
2nd row기존영업자 위생교육 미수료
3rd row기존영업자 위생교육 미수료
4th row기존영업자 위생교육 미수료
5th row기존영업자 위생교육 미수료
ValueCountFrequency (%)
위생교육 630
 
1.9%
건강진단 508
 
1.5%
건강진단을 477
 
1.4%
받지 463
 
1.4%
기존영업자 453
 
1.3%
미수료 388
 
1.1%
아니한 381
 
1.1%
미필 381
 
1.1%
373
 
1.1%
영업자 330
 
1.0%
Other values (5344) 29471
87.1%
2024-05-11T05:34:20.103008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28236
 
17.0%
업 4205
 
2.5%
1 3516
 
2.1%
0 3206
 
1.9%
영 3061
 
1.8%
2 2846
 
1.7%
. 2525
 
1.5%
시 2488
 
1.5%
미 2478
 
1.5%
위 2470
 
1.5%
Other values (715) 111343
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114311
68.7%
Space Separator 28236
 
17.0%
Decimal Number 14179
 
8.5%
Other Punctuation 4503
 
2.7%
Close Punctuation 2140
 
1.3%
Open Punctuation 2127
 
1.3%
Dash Punctuation 496
 
0.3%
Lowercase Letter 211
 
0.1%
Uppercase Letter 77
 
< 0.1%
Other Symbol 76
 
< 0.1%
Other values (3) 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4205
 
3.7%
영 3061
 
2.7%
시 2488
 
2.2%
미 2478
 
2.2%
위 2470
 
2.2%
이 2014
 
1.8%
기 1925
 
1.7%
자 1881
 
1.6%
을 1741
 
1.5%
제 1664
 
1.5%
Other values (637) 90384
79.1%
Uppercase Letter
ValueCountFrequency (%)
A 10
 
13.0%
L 8
 
10.4%
C 6
 
7.8%
H 6
 
7.8%
P 5
 
6.5%
S 4
 
5.2%
B 3
 
3.9%
R 3
 
3.9%
U 3
 
3.9%
N 3
 
3.9%
Other values (11) 26
33.8%
Lowercase Letter
ValueCountFrequency (%)
g 56
26.5%
m 41
19.4%
l 16
 
7.6%
c 14
 
6.6%
r 11
 
5.2%
t 10
 
4.7%
o 10
 
4.7%
w 10
 
4.7%
u 9
 
4.3%
p 6
 
2.8%
Other values (9) 28
13.3%
Other Punctuation
ValueCountFrequency (%)
. 2525
56.1%
, 837
 
18.6%
: 608
 
13.5%
/ 255
 
5.7%
? 124
 
2.8%
* 121
 
2.7%
% 13
 
0.3%
？ 10
 
0.2%
; 5
 
0.1%
' 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3516
24.8%
0 3206
22.6%
2 2846
20.1%
3 1053
 
7.4%
4 731
 
5.2%
5 649
 
4.6%
9 648
 
4.6%
6 560
 
3.9%
7 503
 
3.5%
8 467
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 2044
95.5%
] 93
 
4.3%
} 2
 
0.1%
」 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2030
95.4%
[ 93
 
4.4%
{ 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 (%)
28236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 496
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114309
68.7%
Common 51775
31.1%
Latin 288
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4205
 
3.7%
영 3061
 
2.7%
시 2488
 
2.2%
미 2478
 
2.2%
위 2470
 
2.2%
이 2014
 
1.8%
기 1925
 
1.7%
자 1881
 
1.6%
을 1741
 
1.5%
제 1664
 
1.5%
Other values (636) 90382
79.1%
Latin
ValueCountFrequency (%)
g 56
19.4%
m 41
14.2%
l 16
 
5.6%
c 14
 
4.9%
r 11
 
3.8%
t 10
 
3.5%
o 10
 
3.5%
A 10
 
3.5%
w 10
 
3.5%
u 9
 
3.1%
Other values (30) 101
35.1%
Common
ValueCountFrequency (%)
28236
54.5%
1 3516
 
6.8%
0 3206
 
6.2%
2 2846
 
5.5%
. 2525
 
4.9%
) 2044
 
3.9%
( 2030
 
3.9%
3 1053
 
2.0%
, 837
 
1.6%
4 731
 
1.4%
Other values (28) 4751
 
9.2%
Han
ValueCountFrequency (%)
男 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114289
68.7%
ASCII 51963
31.2%
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 (%)
28236
54.3%
1 3516
 
6.8%
0 3206
 
6.2%
2 2846
 
5.5%
. 2525
 
4.9%
) 2044
 
3.9%
( 2030
 
3.9%
3 1053
 
2.0%
, 837
 
1.6%
4 731
 
1.4%
Other values (59) 4939
 
9.5%
Hangul
ValueCountFrequency (%)
업 4205
 
3.7%
영 3061
 
2.7%
시 2488
 
2.2%
미 2478
 
2.2%
위 2470
 
2.2%
이 2014
 
1.8%
기 1925
 
1.7%
자 1881
 
1.6%
을 1741
 
1.5%
제 1664
 
1.5%
Other values (634) 90362
79.1%
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

Distinct655
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
2024-05-11T05:34:20.886618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length8.9893786
Min length2

Characters and Unicode

Total characters56705
Distinct characters222
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

Unique308 ?
Unique (%)4.9%

Sample

1st row영업신고취소
2nd row과태료 10만원(감경금액 8만원) 부과
3rd row과태료 10만원(감경금액 8만원) 부과
4th row과태료 본처분 40만원
5th row과태료 본처분 40만원
ValueCountFrequency (%)
시정명령 1087
 
10.7%
영업정지 1009
 
9.9%
과태료부과 871
 
8.6%
영업소폐쇄 720
 
7.1%
과태료 469
 
4.6%
부과 369
 
3.6%
시설개수명령 268
 
2.6%
및 249
 
2.4%
20만원 231
 
2.3%
과징금 184
 
1.8%
Other values (723) 4712
46.3%
2024-05-11T05:34:22.462646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 4989
 
8.8%
3881
 
6.8%
0 3095
 
5.5%
정 2623
 
4.6%
부 2548
 
4.5%
업 2254
 
4.0%
료 2224
 
3.9%
원 2220
 
3.9%
영 2207
 
3.9%
태 2152
 
3.8%
Other values (212) 28512
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41032
72.4%
Decimal Number 8294
 
14.6%
Space Separator 3881
 
6.8%
Close Punctuation 1215
 
2.1%
Open Punctuation 1215
 
2.1%
Other Punctuation 986
 
1.7%
Math Symbol 56
 
0.1%
Dash Punctuation 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (185) 16246
39.6%
Decimal Number
ValueCountFrequency (%)
0 3095
37.3%
1 1612
19.4%
2 1498
18.1%
5 552
 
6.7%
6 407
 
4.9%
4 298
 
3.6%
3 283
 
3.4%
8 271
 
3.3%
7 198
 
2.4%
9 80
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 382
38.7%
, 364
36.9%
% 159
16.1%
: 66
 
6.7%
/ 14
 
1.4%
％ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1212
99.8%
} 2
 
0.2%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1212
99.8%
{ 2
 
0.2%
[ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 52
92.9%
→ 2
 
3.6%
+ 2
 
3.6%
Space Separator
ValueCountFrequency (%)
3881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41032
72.4%
Common 15673
 
27.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (185) 16246
39.6%
Common
ValueCountFrequency (%)
3881
24.8%
0 3095
19.7%
1 1612
10.3%
2 1498
 
9.6%
) 1212
 
7.7%
( 1212
 
7.7%
5 552
 
3.5%
6 407
 
2.6%
. 382
 
2.4%
, 364
 
2.3%
Other values (17) 1458
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41008
72.3%
ASCII 15670
 
27.6%
Compat Jamo 24
 
< 0.1%
Arrows 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 4989
 
12.2%
정 2623
 
6.4%
부 2548
 
6.2%
업 2254
 
5.5%
료 2224
 
5.4%
원 2220
 
5.4%
영 2207
 
5.4%
태 2152
 
5.2%
만 1974
 
4.8%
시 1595
 
3.9%
Other values (184) 16222
39.6%
ASCII
ValueCountFrequency (%)
3881
24.8%
0 3095
19.8%
1 1612
10.3%
2 1498
 
9.6%
) 1212
 
7.7%
( 1212
 
7.7%
5 552
 
3.5%
6 407
 
2.6%
. 382
 
2.4%
, 364
 
2.3%
Other values (15) 1455
 
9.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 24
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
％ 1
100.0%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)2.8%
Missing5014
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean10.613601
Minimum0
Maximum92
Zeros491
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:34:23.046434image/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 deviation14.373614
Coefficient of variation (CV)1.3542636
Kurtosis10.847338
Mean10.613601
Median Absolute Deviation (MAD)7
Skewness2.8776299
Sum13734
Variance206.60077
MonotonicityNot monotonic
2024-05-11T05:34:23.517061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 491
 
7.8%
15 358
 
5.7%
7 147
 
2.3%
10 58
 
0.9%
17 56
 
0.9%
5 27
 
0.4%
31 21
 
0.3%
30 21
 
0.3%
59 16
 
0.3%
20 15
 
0.2%
Other values (26) 84
 
1.3%
(Missing) 5014
79.5%
ValueCountFrequency (%)
0 491
7.8%
1 1
 
< 0.1%
2 10
 
0.2%
3 8
 
0.1%
5 27
 
0.4%
6 2
 
< 0.1%
7 147
 
2.3%
8 4
 
0.1%
9 1
 
< 0.1%
10 58
 
0.9%
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 8
0.1%
60 3
 
< 0.1%
59 16
0.3%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct1213
Distinct (%)46.3%
Missing3687
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean116.19563
Minimum0
Maximum13732.35
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size55.6 KiB
2024-05-11T05:34:24.128900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.78
Q129.58
median61.22
Q3107
95-th percentile327.78
Maximum13732.35
Range13732.35
Interquartile range (IQR)77.42

Descriptive statistics

Standard deviation393.2514
Coefficient of variation (CV)3.3843905
Kurtosis615.9629
Mean116.19563
Median Absolute Deviation (MAD)34.82
Skewness21.294502
Sum304548.75
Variance154646.66
MonotonicityNot monotonic
2024-05-11T05:34:24.790081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 31
 
0.5%
27.77 26
 
0.4%
30.0 26
 
0.4%
327.78 22
 
0.3%
97.91 21
 
0.3%
35.0 15
 
0.2%
16.0 15
 
0.2%
26.4 14
 
0.2%
68.5 14
 
0.2%
73.7 13
 
0.2%
Other values (1203) 2424
38.4%
(Missing) 3687
58.4%
ValueCountFrequency (%)
0.0 9
0.1%
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 (%)
13732.35 1
< 0.1%
6021.12 1
< 0.1%
6017.26 1
< 0.1%
5146.29 1
< 0.1%
4499.32 1
< 0.1%
4478.05 1
< 0.1%
4476.97 1
< 0.1%
3000.05 1
< 0.1%
2853.0 1
< 0.1%
1751.0 1
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
<NA>
6237 
직영
 
62
(조합)위탁
 
9

Length

Max length6
Median length4
Mean length3.9831959
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6237
98.9%
직영 62
 
1.0%
(조합)위탁 9
 
0.1%

Length

2024-05-11T05:34:25.445276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:34:25.897516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6237
98.9%
직영 62
 
1.0%
조합)위탁 9
 
0.1%

Interactions

2024-05-11T05:33:52.437125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:42.495375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:44.578394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:46.287563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:48.275674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:50.246458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:52.837555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:43.044932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:44.861917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:46.593388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:48.586465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:50.635151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:53.344819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:43.415576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:45.125379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:46.893633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:48.903682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:50.932617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:53.676882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:43.697756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:45.397487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:47.192606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:49.256523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:51.250354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:54.263017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:44.010493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:45.705789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:47.546568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:49.585033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:51.648014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:54.589741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:44.280259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:45.975324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:47.952062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:49.836260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:33:51.930278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T05:34:26.123727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.5670.4730.6020.9770.9240.4350.0560.622
교부번호0.5671.0000.5620.7150.7180.5900.2780.0000.714
업종명0.4730.5621.0001.0000.4590.4910.2830.638NaN
업태명0.6020.7151.0001.0000.5970.5790.4060.6410.565
지도점검일자0.9770.7180.4590.5971.0000.9500.4520.0280.889
위반일자0.9240.5900.4910.5790.9501.0000.4420.0000.904
처분기간0.4350.2780.2830.4060.4520.4421.0000.000NaN
영업장면적(㎡)0.0560.0000.6380.6410.0280.0000.0001.0000.000
운영형태0.6220.714NaN0.5650.8890.904NaN0.0001.000
2024-05-11T05:34:26.562425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명운영형태
업종명1.0001.000
운영형태1.0001.000
2024-05-11T05:34:26.954935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.5490.9990.9980.380-0.0180.1910.645
교부번호0.5491.0000.5490.5480.1340.0200.2450.744
지도점검일자0.9990.5491.0000.9990.365-0.0180.1880.682
위반일자0.9980.5480.9991.0000.363-0.0190.1910.702
처분기간0.3800.1340.3650.3631.0000.1680.1220.000
영업장면적(㎡)-0.0180.020-0.018-0.0190.1681.0000.3090.000
업종명0.1910.2450.1880.1910.1220.3091.0001.000
운영형태0.6450.7440.6820.7020.0000.0001.0001.000

Missing values

2024-05-11T05:33:55.303713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T05:33:56.501717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T05:33:57.343847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
031700002003091819750084006일반음식점중국식대원반점<NA>서울특별시 금천구 시흥동 263번지 13호 2층20030827처분확정영업신고취소식품위생법 제21조및 동법 제58조20030827영업장시설물 멸실영업신고취소<NA>33.97<NA>
131700002022011919770084014일반음식점한식서야왕족발서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)서울특별시 금천구 시흥동 880번지 29호20211214처분확정과태료 10만원(감경금액 8만원) 부과법 제101조제4항1호20211213기존영업자 위생교육 미수료과태료 10만원(감경금액 8만원) 부과<NA>4.89<NA>
231700002022011919770084014일반음식점한식서야왕족발서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)서울특별시 금천구 시흥동 880번지 29호20211214처분확정과태료 10만원(감경금액 8만원) 부과법 제101조제4항1호20211213기존영업자 위생교육 미수료과태료 10만원(감경금액 8만원) 부과<NA>33.5<NA>
331700002024021619770084014일반음식점한식서야왕족발서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)서울특별시 금천구 시흥동 880번지 29호20231208처분확정과태료 본처분 40만원법 제101조제4항1호20230101기존영업자 위생교육 미수료과태료 본처분 40만원<NA>4.89<NA>
431700002024021619770084014일반음식점한식서야왕족발서울특별시 금천구 시흥대로62가길 14, 지상1층 (시흥동)서울특별시 금천구 시흥동 880번지 29호20231208처분확정과태료 본처분 40만원법 제101조제4항1호20230101기존영업자 위생교육 미수료과태료 본처분 40만원<NA>33.5<NA>
531700002017042719780084020일반음식점중국식혜원반점서울특별시 금천구 시흥대로78길 16, (독산동, 지상1층)서울특별시 금천구 독산동 1076번지 45호 지상1층20170405처분확정시정명령법 제71조, 법 제72조 및 법 제75조201704052017.4.2. 손님에게 배달한 탕수육에서 이물(검은 탄화물질)이 혼입시정명령<NA>34.02<NA>
631700002015012319780084039일반음식점한식경북식당서울특별시 금천구 범안로 1252, (독산동)서울특별시 금천구 독산동 1035번지 5호20141217처분확정영업소폐쇄식품위생법제75조20141217폐업신고없이 시설의 전부를 철거함영업소폐쇄<NA>26.95<NA>
731700002016022319790084011일반음식점한식함지박서울특별시 금천구 시흥대로39길 16, 18호 (시흥동, 제1층)서울특별시 금천구 시흥동 985번지 1호 제1층-1820160128처분확정과태료부과 40만원(20%감경)법 제101조제2항제1호20160128식품을 취급하는 조리장의 위생상태가 불량과태료부과 40만원(20%감경)<NA><NA><NA>
831700002016022319790084011일반음식점한식함지박서울특별시 금천구 시흥대로39길 16, 18호 (시흥동, 제1층)서울특별시 금천구 시흥동 985번지 1호 제1층-1820160128처분확정과태료부과 40만원(20%감경)법 제101조제2항제1호20160128식품을 취급하는 조리장의 위생상태가 불량과태료부과 40만원(20%감경)<NA><NA><NA>
931700002008072819790084027일반음식점중국식철가방<NA>서울특별시 금천구 독산동 181번지 18호 지상1층 ( 쌈지3길 15)20080728처분확정시정명령식품위생법 제55조20080721영업장 임의확장시정명령<NA><NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
629831700002021123120190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 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><NA>
629931700002023120720190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 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<NA>
630031700002023120720190081241건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 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><NA>
630131700002020082820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(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><NA>
630231700002020082820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(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><NA>
630331700002023042820200084124건강기능식품유통전문판매업건강기능식품유통전문판매업(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><NA>
630431700002022021420200269813건강기능식품유통전문판매업건강기능식품유통전문판매업네오스서울특별시 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<NA>
630531700002023073120200269813건강기능식품유통전문판매업건강기능식품유통전문판매업네오스서울특별시 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<NA>
630631700002023122820200099550건강기능식품유통전문판매업건강기능식품유통전문판매업(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<NA>
630731700002023033120210085079건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 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><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
14131700002008120120000084411식품제조가공업식품제조가공업정정식품<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><NA>18
14331700002008120120000084411식품제조가공업식품제조가공업정정식품<NA>서울특별시 금천구 독산동 969번지 11호 (지상 1층) [독산고개길 22]20081111처분확정품목제조정지15일 및 당해제품폐기식품위생법 제59조제1항, 동법 제7조20081111기준과 규격 위반(대장균 부적합)품목제조정지15일 및 당해제품폐기15<NA><NA>18
31931700002016071520070084367일반음식점일식아라참치서울특별시 금천구 가산디지털1로 186, (가산동,제이플라츠 B126호)서울특별시 금천구 가산동 459번지 11호 제이플라츠 B126호20160621처분확정과태료부과법 제101조제2항 제1호20160621건강진단을 받지 아니한 종업원과태료부과<NA><NA><NA>8
32031700002016071520070084367일반음식점일식아라참치서울특별시 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><NA>8
3131700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 55조20050607식품위생법 제22조 6호과태료부과 200,000원0<NA><NA>6
3231700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 78조 1항1호 및 동법 시행령 제54조 3항20050607식품위생법 제3조 1항과태료부과 200,000원0<NA><NA>6
3331700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정과태료부과 200,000원식품위생법 제57조 및 동법시행규칙 제53조20050607식품위생법 제21조 1항과태료부과 200,000원0<NA><NA>6
3431700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 55조20050607식품위생법 제22조 6호시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA><NA>6
3531700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 78조 1항1호 및 동법 시행령 제54조 3항20050607식품위생법 제3조 1항시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA><NA>6
3631700002005062420010084111식품제조가공업식품제조가공업그랜드식품<NA>서울특별시 금천구 독산동 336번지 8호20050607처분확정시설개수명령(작업장내 방충ㆍ방서 시설설치)식품위생법 제57조 및 동법시행규칙 제53조20050607식품위생법 제21조 1항시설개수명령(작업장내 방충ㆍ방서 시설설치)0<NA><NA>6