Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells19981
Missing cells (%)11.8%
Duplicate rows791
Duplicate rows (%)7.9%
Total size in memory1.4 MiB
Average record size in memory150.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-10225/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 791 (7.9%) 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 6333 (63.3%) missing valuesMissing
처분기간 has 8890 (88.9%) missing valuesMissing
영업장면적(㎡) has 4704 (47.0%) missing valuesMissing
위반일자 is highly skewed (γ1 = -24.69300681)Skewed

Reproduction

Analysis started2024-05-11 06:43:27.622733
Analysis finished2024-05-11 06:43:36.098269
Duration8.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3010000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 10000
100.0%

Length

2024-05-11T15:43:36.196921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:36.338450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2438
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20108127
Minimum19910605
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:43:36.514649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910605
5-th percentile20020813
Q120050214
median20091026
Q320170904
95-th percentile20230621
Maximum20240318
Range329713
Interquartile range (IQR)120690

Descriptive statistics

Standard deviation68639.607
Coefficient of variation (CV)0.0034135256
Kurtosis-1.1186178
Mean20108127
Median Absolute Deviation (MAD)59823
Skewness0.37130418
Sum2.0108127 × 1011
Variance4.7113957 × 109
MonotonicityNot monotonic
2024-05-11T15:43:36.757000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021220 145
 
1.5%
20111115 125
 
1.2%
20021218 124
 
1.2%
20040410 104
 
1.0%
20021211 82
 
0.8%
20120102 74
 
0.7%
20090609 70
 
0.7%
20230627 69
 
0.7%
20190909 59
 
0.6%
20180220 52
 
0.5%
Other values (2428) 9096
91.0%
ValueCountFrequency (%)
19910605 1
< 0.1%
19930907 1
< 0.1%
19971125 1
< 0.1%
19990104 1
< 0.1%
19990520 1
< 0.1%
19990721 1
< 0.1%
19990831 1
< 0.1%
20000110 1
< 0.1%
20000212 1
< 0.1%
20000215 1
< 0.1%
ValueCountFrequency (%)
20240318 1
 
< 0.1%
20240312 1
 
< 0.1%
20240308 1
 
< 0.1%
20240229 2
< 0.1%
20240215 2
< 0.1%
20240213 2
< 0.1%
20240205 4
< 0.1%
20240202 2
< 0.1%
20240131 3
< 0.1%
20240130 1
 
< 0.1%

교부번호
Text

Distinct5178
Distinct (%)51.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:43:37.064972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.606261
Min length2

Characters and Unicode

Total characters106052
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3486 ?
Unique (%)34.9%

Sample

1st row19990029864
2nd row19920029807
3rd row19840029399
4th row20160030450
5th row20030030060
ValueCountFrequency (%)
19980029330 72
 
0.7%
20000029177 39
 
0.4%
20140029044 36
 
0.4%
19920029370 34
 
0.3%
20010029090 32
 
0.3%
20140029422 31
 
0.3%
20160030050 30
 
0.3%
19990029864 27
 
0.3%
20070029567 26
 
0.3%
19700029010 22
 
0.2%
Other values (5168) 9650
96.5%
2024-05-11T15:43:37.585129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35508
33.5%
9 17911
16.9%
2 17646
16.6%
1 9667
 
9.1%
3 5753
 
5.4%
8 4128
 
3.9%
7 3983
 
3.8%
4 3919
 
3.7%
6 3899
 
3.7%
5 3633
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106047
> 99.9%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35508
33.5%
9 17911
16.9%
2 17646
16.6%
1 9667
 
9.1%
3 5753
 
5.4%
8 4128
 
3.9%
7 3983
 
3.8%
4 3919
 
3.7%
6 3899
 
3.7%
5 3633
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106052
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35508
33.5%
9 17911
16.9%
2 17646
16.6%
1 9667
 
9.1%
3 5753
 
5.4%
8 4128
 
3.9%
7 3983
 
3.8%
4 3919
 
3.7%
6 3899
 
3.7%
5 3633
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35508
33.5%
9 17911
16.9%
2 17646
16.6%
1 9667
 
9.1%
3 5753
 
5.4%
8 4128
 
3.9%
7 3983
 
3.8%
4 3919
 
3.7%
6 3899
 
3.7%
5 3633
 
3.4%

업종명
Categorical

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5671 
유흥주점영업
1293 
휴게음식점
 
460
단란주점
 
420
즉석판매제조가공업
 
372
Other values (25)
1784 

Length

Max length13
Median length5
Mean length5.535
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5671
56.7%
유흥주점영업 1293
 
12.9%
휴게음식점 460
 
4.6%
단란주점 420
 
4.2%
즉석판매제조가공업 372
 
3.7%
식품소분업 328
 
3.3%
식품제조가공업 230
 
2.3%
식품등 수입판매업 226
 
2.3%
숙박업(일반) 186
 
1.9%
유통전문판매업 146
 
1.5%
Other values (20) 668
 
6.7%

Length

2024-05-11T15:43:37.783053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5671
55.4%
유흥주점영업 1293
 
12.6%
휴게음식점 460
 
4.5%
단란주점 420
 
4.1%
즉석판매제조가공업 372
 
3.6%
식품소분업 328
 
3.2%
식품제조가공업 230
 
2.2%
식품등 226
 
2.2%
수입판매업 226
 
2.2%
숙박업(일반 186
 
1.8%
Other values (21) 816
 
8.0%

업태명
Text

Distinct76
Distinct (%)0.8%
Missing14
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T15:43:38.061462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.6998798
Min length2

Characters and Unicode

Total characters36947
Distinct characters156
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row식품소분업
2nd row한식
3rd row중국식
4th row식품소분업
5th row분식
ValueCountFrequency (%)
한식 2606
25.3%
룸살롱 1033
 
10.0%
분식 820
 
8.0%
경양식 804
 
7.8%
기타 456
 
4.4%
단란주점 420
 
4.1%
즉석판매제조가공업 372
 
3.6%
식품소분업 328
 
3.2%
호프/통닭 298
 
2.9%
중국식 290
 
2.8%
Other values (66) 2874
27.9%
2024-05-11T15:43:38.583039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5798
 
15.7%
한 2614
 
7.1%
업 2054
 
5.6%
분 1148
 
3.1%
살 1056
 
2.9%
롱 1056
 
2.9%
매 1036
 
2.8%
판 1035
 
2.8%
룸 1033
 
2.8%
품 855
 
2.3%
Other values (146) 19262
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35760
96.8%
Other Punctuation 531
 
1.4%
Space Separator 315
 
0.9%
Open Punctuation 169
 
0.5%
Close Punctuation 169
 
0.5%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5798
 
16.2%
한 2614
 
7.3%
업 2054
 
5.7%
분 1148
 
3.2%
살 1056
 
3.0%
롱 1056
 
3.0%
매 1036
 
2.9%
판 1035
 
2.9%
룸 1033
 
2.9%
품 855
 
2.4%
Other values (139) 18075
50.5%
Other Punctuation
ValueCountFrequency (%)
/ 442
83.2%
, 47
 
8.9%
. 42
 
7.9%
Space Separator
ValueCountFrequency (%)
315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35760
96.8%
Common 1187
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5798
 
16.2%
한 2614
 
7.3%
업 2054
 
5.7%
분 1148
 
3.2%
살 1056
 
3.0%
롱 1056
 
3.0%
매 1036
 
2.9%
판 1035
 
2.9%
룸 1033
 
2.9%
품 855
 
2.4%
Other values (139) 18075
50.5%
Common
ValueCountFrequency (%)
/ 442
37.2%
315
26.5%
( 169
 
14.2%
) 169
 
14.2%
, 47
 
4.0%
. 42
 
3.5%
+ 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35760
96.8%
ASCII 1187
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5798
 
16.2%
한 2614
 
7.3%
업 2054
 
5.7%
분 1148
 
3.2%
살 1056
 
3.0%
롱 1056
 
3.0%
매 1036
 
2.9%
판 1035
 
2.9%
룸 1033
 
2.9%
품 855
 
2.4%
Other values (139) 18075
50.5%
ASCII
ValueCountFrequency (%)
/ 442
37.2%
315
26.5%
( 169
 
14.2%
) 169
 
14.2%
, 47
 
4.0%
. 42
 
3.5%
+ 3
 
0.3%

업소명
Text

Distinct5024
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:43:38.954544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length5.1056
Min length1

Characters and Unicode

Total characters51056
Distinct characters944
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3256 ?
Unique (%)32.6%

Sample

1st row동아물산
2nd row필동면옥
3rd row삼성원
4th row하늘갓
5th row오마이치킨
ValueCountFrequency (%)
만선호프 70
 
0.6%
명동점 59
 
0.5%
주식회사 55
 
0.5%
본푸드 36
 
0.3%
미래식품 34
 
0.3%
둘둘치킨 32
 
0.3%
엘본더테이블 30
 
0.3%
명동교자 30
 
0.3%
동국 29
 
0.3%
동아물산 27
 
0.2%
Other values (5401) 11006
96.5%
2024-05-11T15:43:39.552449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1418
 
2.8%
주 1098
 
2.2%
이 1063
 
2.1%
스 1026
 
2.0%
( 968
 
1.9%
) 966
 
1.9%
동 863
 
1.7%
점 796
 
1.6%
리 757
 
1.5%
식 749
 
1.5%
Other values (934) 41352
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45423
89.0%
Space Separator 1418
 
2.8%
Uppercase Letter 976
 
1.9%
Open Punctuation 969
 
1.9%
Close Punctuation 967
 
1.9%
Lowercase Letter 693
 
1.4%
Decimal Number 334
 
0.7%
Other Punctuation 235
 
0.5%
Dash Punctuation 34
 
0.1%
Letter Number 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1098
 
2.4%
이 1063
 
2.3%
스 1026
 
2.3%
동 863
 
1.9%
점 796
 
1.8%
리 757
 
1.7%
식 749
 
1.6%
호 490
 
1.1%
아 478
 
1.1%
미 470
 
1.0%
Other values (854) 37633
82.9%
Uppercase Letter
ValueCountFrequency (%)
A 77
 
7.9%
B 70
 
7.2%
O 66
 
6.8%
C 60
 
6.1%
M 59
 
6.0%
L 58
 
5.9%
S 53
 
5.4%
N 52
 
5.3%
I 48
 
4.9%
T 41
 
4.2%
Other values (16) 392
40.2%
Lowercase Letter
ValueCountFrequency (%)
a 94
13.6%
e 88
12.7%
o 72
 
10.4%
r 43
 
6.2%
n 43
 
6.2%
s 33
 
4.8%
c 32
 
4.6%
u 29
 
4.2%
l 29
 
4.2%
i 28
 
4.0%
Other values (14) 202
29.1%
Decimal Number
ValueCountFrequency (%)
2 95
28.4%
1 49
14.7%
0 47
14.1%
5 27
 
8.1%
7 27
 
8.1%
4 26
 
7.8%
8 21
 
6.3%
3 16
 
4.8%
6 14
 
4.2%
9 12
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 141
60.0%
& 38
 
16.2%
, 21
 
8.9%
; 11
 
4.7%
? 8
 
3.4%
' 6
 
2.6%
# 5
 
2.1%
! 3
 
1.3%
@ 2
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 1
25.0%
Ⅱ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 968
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 966
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45408
88.9%
Common 3960
 
7.8%
Latin 1673
 
3.3%
Han 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1098
 
2.4%
이 1063
 
2.3%
스 1026
 
2.3%
동 863
 
1.9%
점 796
 
1.8%
리 757
 
1.7%
식 749
 
1.6%
호 490
 
1.1%
아 478
 
1.1%
미 470
 
1.0%
Other values (845) 37618
82.8%
Latin
ValueCountFrequency (%)
a 94
 
5.6%
e 88
 
5.3%
A 77
 
4.6%
o 72
 
4.3%
B 70
 
4.2%
O 66
 
3.9%
C 60
 
3.6%
M 59
 
3.5%
L 58
 
3.5%
S 53
 
3.2%
Other values (43) 976
58.3%
Common
ValueCountFrequency (%)
1418
35.8%
( 968
24.4%
) 966
24.4%
. 141
 
3.6%
2 95
 
2.4%
1 49
 
1.2%
0 47
 
1.2%
& 38
 
1.0%
- 34
 
0.9%
5 27
 
0.7%
Other values (17) 177
 
4.5%
Han
ValueCountFrequency (%)
家 4
26.7%
土 3
20.0%
源 2
13.3%
新 1
 
6.7%
金 1
 
6.7%
三 1
 
6.7%
高 1
 
6.7%
校 1
 
6.7%
福 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45408
88.9%
ASCII 5628
 
11.0%
CJK 15
 
< 0.1%
Number Forms 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1418
25.2%
( 968
17.2%
) 966
17.2%
. 141
 
2.5%
2 95
 
1.7%
a 94
 
1.7%
e 88
 
1.6%
A 77
 
1.4%
o 72
 
1.3%
B 70
 
1.2%
Other values (66) 1639
29.1%
Hangul
ValueCountFrequency (%)
주 1098
 
2.4%
이 1063
 
2.3%
스 1026
 
2.3%
동 863
 
1.9%
점 796
 
1.8%
리 757
 
1.7%
식 749
 
1.6%
호 490
 
1.1%
아 478
 
1.1%
미 470
 
1.0%
Other values (845) 37618
82.8%
CJK
ValueCountFrequency (%)
家 4
26.7%
土 3
20.0%
源 2
13.3%
新 1
 
6.7%
金 1
 
6.7%
三 1
 
6.7%
高 1
 
6.7%
校 1
 
6.7%
福 1
 
6.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 1
25.0%
Ⅱ 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지도로명
Text

MISSING 

Distinct1868
Distinct (%)50.9%
Missing6333
Missing (%)63.3%
Memory size156.2 KiB
2024-05-11T15:43:40.074004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length58
Mean length32.111808
Min length20

Characters and Unicode

Total characters117754
Distinct characters325
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

Unique1235 ?
Unique (%)33.7%

Sample

1st row서울특별시 중구 서애로 26, (필동3가)
2nd row서울특별시 중구 을지로32길 6, 1층 (을지로5가)
3rd row서울특별시 중구 을지로3길 30-18, (다동)
4th row서울특별시 중구 명동7길 21, (을지로2가,외1필지(1층 114호, 128호))
5th row서울특별시 중구 동호로33길 15, 2층 (오장동, 3A-1호)
ValueCountFrequency (%)
서울특별시 3667
 
16.9%
중구 3667
 
16.9%
1층 773
 
3.6%
신당동 376
 
1.7%
2층 226
 
1.0%
퇴계로 215
 
1.0%
지하1층 212
 
1.0%
황학동 154
 
0.7%
21 153
 
0.7%
을지로3가 132
 
0.6%
Other values (1903) 12082
55.8%
2024-05-11T15:43:40.796821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18007
 
15.3%
, 6266
 
5.3%
1 5840
 
5.0%
) 4450
 
3.8%
( 4450
 
3.8%
로 4315
 
3.7%
2 3931
 
3.3%
서 3927
 
3.3%
시 3872
 
3.3%
중 3796
 
3.2%
Other values (315) 58900
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63325
53.8%
Decimal Number 20098
 
17.1%
Space Separator 18007
 
15.3%
Other Punctuation 6311
 
5.4%
Close Punctuation 4450
 
3.8%
Open Punctuation 4450
 
3.8%
Dash Punctuation 808
 
0.7%
Uppercase Letter 208
 
0.2%
Math Symbol 81
 
0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4315
 
6.8%
서 3927
 
6.2%
시 3872
 
6.1%
중 3796
 
6.0%
구 3743
 
5.9%
울 3724
 
5.9%
특 3688
 
5.8%
별 3669
 
5.8%
동 3346
 
5.3%
층 2722
 
4.3%
Other values (268) 26523
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 70
33.7%
A 28
 
13.5%
C 25
 
12.0%
D 16
 
7.7%
E 10
 
4.8%
F 8
 
3.8%
H 8
 
3.8%
K 7
 
3.4%
T 6
 
2.9%
Y 5
 
2.4%
Other values (9) 25
 
12.0%
Decimal Number
ValueCountFrequency (%)
1 5840
29.1%
2 3931
19.6%
3 2467
12.3%
4 1521
 
7.6%
5 1285
 
6.4%
0 1278
 
6.4%
6 1034
 
5.1%
8 998
 
5.0%
7 885
 
4.4%
9 859
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
a 3
18.8%
m 2
12.5%
p 2
12.5%
t 1
 
6.2%
n 1
 
6.2%
r 1
 
6.2%
l 1
 
6.2%
c 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 6266
99.3%
. 37
 
0.6%
？ 4
 
0.1%
/ 4
 
0.1%
Space Separator
ValueCountFrequency (%)
18007
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4450
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 808
100.0%
Math Symbol
ValueCountFrequency (%)
~ 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63325
53.8%
Common 54205
46.0%
Latin 224
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4315
 
6.8%
서 3927
 
6.2%
시 3872
 
6.1%
중 3796
 
6.0%
구 3743
 
5.9%
울 3724
 
5.9%
특 3688
 
5.8%
별 3669
 
5.8%
동 3346
 
5.3%
층 2722
 
4.3%
Other values (268) 26523
41.9%
Latin
ValueCountFrequency (%)
B 70
31.2%
A 28
 
12.5%
C 25
 
11.2%
D 16
 
7.1%
E 10
 
4.5%
F 8
 
3.6%
H 8
 
3.6%
K 7
 
3.1%
T 6
 
2.7%
Y 5
 
2.2%
Other values (18) 41
18.3%
Common
ValueCountFrequency (%)
18007
33.2%
, 6266
 
11.6%
1 5840
 
10.8%
) 4450
 
8.2%
( 4450
 
8.2%
2 3931
 
7.3%
3 2467
 
4.6%
4 1521
 
2.8%
5 1285
 
2.4%
0 1278
 
2.4%
Other values (9) 4710
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63325
53.8%
ASCII 54425
46.2%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18007
33.1%
, 6266
 
11.5%
1 5840
 
10.7%
) 4450
 
8.2%
( 4450
 
8.2%
2 3931
 
7.2%
3 2467
 
4.5%
4 1521
 
2.8%
5 1285
 
2.4%
0 1278
 
2.3%
Other values (36) 4930
 
9.1%
Hangul
ValueCountFrequency (%)
로 4315
 
6.8%
서 3927
 
6.2%
시 3872
 
6.1%
중 3796
 
6.0%
구 3743
 
5.9%
울 3724
 
5.9%
특 3688
 
5.8%
별 3669
 
5.8%
동 3346
 
5.3%
층 2722
 
4.3%
Other values (268) 26523
41.9%
None
ValueCountFrequency (%)
？ 4
100.0%

소재지지번
Text

Distinct4616
Distinct (%)46.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:43:41.289963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length62
Mean length28.292629
Min length19

Characters and Unicode

Total characters282898
Distinct characters367
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2857 ?
Unique (%)28.6%

Sample

1st row서울특별시 중구 을지로5가 262번지 0호
2nd row서울특별시 중구 필동3가 1번지 5호
3rd row서울특별시 중구 신당동 372번지 40호
4th row서울특별시 중구 을지로5가 269번지 2호 1층
5th row서울특별시 중구 중림동 200번지 (중림동삼성사이버빌리지상가1) 102-1호,102-2호
ValueCountFrequency (%)
서울특별시 9999
 
17.7%
중구 9999
 
17.7%
신당동 1609
 
2.9%
1호 1345
 
2.4%
0호 1150
 
2.0%
1층 1074
 
1.9%
2호 736
 
1.3%
지하1층 680
 
1.2%
3호 610
 
1.1%
지상1층 608
 
1.1%
Other values (2189) 28585
50.7%
2024-05-11T15:43:41.988774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70911
25.1%
지 14468
 
5.1%
1 14423
 
5.1%
중 10258
 
3.6%
서 10254
 
3.6%
시 10113
 
3.6%
울 10074
 
3.6%
구 10063
 
3.6%
특 10022
 
3.5%
별 10007
 
3.5%
Other values (357) 112305
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154022
54.4%
Space Separator 70911
25.1%
Decimal Number 51856
 
18.3%
Close Punctuation 2109
 
0.7%
Open Punctuation 2109
 
0.7%
Other Punctuation 1030
 
0.4%
Dash Punctuation 367
 
0.1%
Uppercase Letter 304
 
0.1%
Math Symbol 173
 
0.1%
Lowercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 14468
 
9.4%
중 10258
 
6.7%
서 10254
 
6.7%
시 10113
 
6.6%
울 10074
 
6.5%
구 10063
 
6.5%
특 10022
 
6.5%
별 10007
 
6.5%
번 10004
 
6.5%
호 9800
 
6.4%
Other values (309) 48959
31.8%
Uppercase Letter
ValueCountFrequency (%)
B 96
31.6%
A 48
15.8%
C 43
14.1%
D 40
13.2%
E 12
 
3.9%
F 10
 
3.3%
K 10
 
3.3%
Y 6
 
2.0%
G 6
 
2.0%
T 6
 
2.0%
Other values (8) 27
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 14423
27.8%
2 9064
17.5%
3 5561
 
10.7%
0 4177
 
8.1%
5 3896
 
7.5%
4 3872
 
7.5%
6 3061
 
5.9%
8 2654
 
5.1%
9 2642
 
5.1%
7 2506
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
a 3
17.6%
p 2
11.8%
m 2
11.8%
i 1
 
5.9%
n 1
 
5.9%
t 1
 
5.9%
r 1
 
5.9%
l 1
 
5.9%
c 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 937
91.0%
. 62
 
6.0%
/ 25
 
2.4%
？ 4
 
0.4%
? 2
 
0.2%
Space Separator
ValueCountFrequency (%)
70911
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 367
100.0%
Math Symbol
ValueCountFrequency (%)
~ 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154021
54.4%
Common 128555
45.4%
Latin 321
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 14468
 
9.4%
중 10258
 
6.7%
서 10254
 
6.7%
시 10113
 
6.6%
울 10074
 
6.5%
구 10063
 
6.5%
특 10022
 
6.5%
별 10007
 
6.5%
번 10004
 
6.5%
호 9800
 
6.4%
Other values (308) 48958
31.8%
Latin
ValueCountFrequency (%)
B 96
29.9%
A 48
15.0%
C 43
13.4%
D 40
12.5%
E 12
 
3.7%
F 10
 
3.1%
K 10
 
3.1%
Y 6
 
1.9%
G 6
 
1.9%
T 6
 
1.9%
Other values (18) 44
13.7%
Common
ValueCountFrequency (%)
70911
55.2%
1 14423
 
11.2%
2 9064
 
7.1%
3 5561
 
4.3%
0 4177
 
3.2%
5 3896
 
3.0%
4 3872
 
3.0%
6 3061
 
2.4%
8 2654
 
2.1%
9 2642
 
2.1%
Other values (10) 8294
 
6.5%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154021
54.4%
ASCII 128872
45.6%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70911
55.0%
1 14423
 
11.2%
2 9064
 
7.0%
3 5561
 
4.3%
0 4177
 
3.2%
5 3896
 
3.0%
4 3872
 
3.0%
6 3061
 
2.4%
8 2654
 
2.1%
9 2642
 
2.1%
Other values (37) 8611
 
6.7%
Hangul
ValueCountFrequency (%)
지 14468
 
9.4%
중 10258
 
6.7%
서 10254
 
6.7%
시 10113
 
6.6%
울 10074
 
6.5%
구 10063
 
6.5%
특 10022
 
6.5%
별 10007
 
6.5%
번 10004
 
6.5%
호 9800
 
6.4%
Other values (308) 48958
31.8%
None
ValueCountFrequency (%)
？ 4
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2772
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106512
Minimum19910605
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:43:42.258405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910605
5-th percentile20020524
Q120041227
median20090810
Q320170630
95-th percentile20230404
Maximum20240318
Range329713
Interquartile range (IQR)129403

Descriptive statistics

Standard deviation68948.354
Coefficient of variation (CV)0.0034291555
Kurtosis-1.1196677
Mean20106512
Median Absolute Deviation (MAD)60080
Skewness0.3772836
Sum2.0106512 × 1011
Variance4.7538756 × 109
MonotonicityNot monotonic
2024-05-11T15:43:42.449590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021126 156
 
1.6%
20230331 127
 
1.3%
20021128 127
 
1.3%
20120102 102
 
1.0%
20101231 102
 
1.0%
20081024 97
 
1.0%
20230330 82
 
0.8%
20021202 72
 
0.7%
20081218 69
 
0.7%
20110101 65
 
0.7%
Other values (2762) 9001
90.0%
ValueCountFrequency (%)
19910605 1
< 0.1%
19930907 1
< 0.1%
19970601 1
< 0.1%
19971125 1
< 0.1%
19990104 1
< 0.1%
19990520 1
< 0.1%
19990721 1
< 0.1%
19990813 1
< 0.1%
20000110 1
< 0.1%
20000128 1
< 0.1%
ValueCountFrequency (%)
20240318 1
 
< 0.1%
20240228 2
 
< 0.1%
20240226 1
 
< 0.1%
20240221 1
 
< 0.1%
20240216 1
 
< 0.1%
20240213 2
 
< 0.1%
20240201 2
 
< 0.1%
20240131 2
 
< 0.1%
20240130 1
 
< 0.1%
20240124 5
0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
처분확정
10000 

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 10000
100.0%

Length

2024-05-11T15:43:42.619553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:42.735928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1350
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:43:42.999503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length110
Mean length9.5819
Min length2

Characters and Unicode

Total characters95819
Distinct characters253
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)7.7%

Sample

1st row시정명령
2nd row과태료부과
3rd row영업소폐쇄(건물주요청)
4th row과태료부과
5th row행정심판의거영업정지1월로 변경처분(서울특별시법무담당관5990(2006.5.15)의거)
ValueCountFrequency (%)
시정명령 1785
 
13.2%
영업소폐쇄 1557
 
11.5%
과태료부과 917
 
6.8%
영업정지 643
 
4.8%
직권말소 474
 
3.5%
시설개수명령 453
 
3.4%
부과 258
 
1.9%
과태료 243
 
1.8%
과징금 177
 
1.3%
원 169
 
1.3%
Other values (1642) 6818
50.5%
2024-05-11T15:43:43.443152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6413
 
6.7%
0 5414
 
5.7%
정 4418
 
4.6%
업 4184
 
4.4%
영 4157
 
4.3%
2 3555
 
3.7%
3506
 
3.7%
원 2875
 
3.0%
1 2841
 
3.0%
부 2832
 
3.0%
Other values (243) 55624
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67476
70.4%
Decimal Number 17622
 
18.4%
Space Separator 3506
 
3.7%
Other Punctuation 2758
 
2.9%
Close Punctuation 1921
 
2.0%
Open Punctuation 1918
 
2.0%
Math Symbol 347
 
0.4%
Dash Punctuation 270
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.5%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.1%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (216) 31489
46.7%
Decimal Number
ValueCountFrequency (%)
0 5414
30.7%
2 3555
20.2%
1 2841
16.1%
3 1302
 
7.4%
5 1209
 
6.9%
4 841
 
4.8%
6 748
 
4.2%
7 721
 
4.1%
8 620
 
3.5%
9 371
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 2206
80.0%
, 412
 
14.9%
% 52
 
1.9%
/ 44
 
1.6%
: 37
 
1.3%
* 4
 
0.1%
; 2
 
0.1%
※ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 337
97.1%
> 5
 
1.4%
→ 4
 
1.2%
= 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67476
70.4%
Common 28343
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.5%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.1%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (216) 31489
46.7%
Common
ValueCountFrequency (%)
0 5414
19.1%
2 3555
12.5%
3506
12.4%
1 2841
10.0%
. 2206
7.8%
) 1921
 
6.8%
( 1918
 
6.8%
3 1302
 
4.6%
5 1209
 
4.3%
4 841
 
3.0%
Other values (17) 3630
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67332
70.3%
ASCII 28338
29.6%
Compat Jamo 144
 
0.2%
Arrows 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.6%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.2%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (215) 31345
46.6%
ASCII
ValueCountFrequency (%)
0 5414
19.1%
2 3555
12.5%
3506
12.4%
1 2841
10.0%
. 2206
7.8%
) 1921
 
6.8%
( 1918
 
6.8%
3 1302
 
4.6%
5 1209
 
4.3%
4 841
 
3.0%
Other values (15) 3625
12.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 144
100.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

법적근거
Text

Distinct1107
Distinct (%)11.1%
Missing36
Missing (%)0.4%
Memory size156.2 KiB
2024-05-11T15:43:43.730352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length55
Mean length14.971598
Min length1

Characters and Unicode

Total characters149177
Distinct characters162
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique566 ?
Unique (%)5.7%

Sample

1st row식품위생법 제10조
2nd row제67조
3rd row식품위생법제58조제3항
4th row법 제101조제2항제1호
5th row식품위생법 제58조
ValueCountFrequency (%)
법 6364
22.5%
식품위생법 2230
 
7.9%
및 2146
 
7.6%
제75조 1802
 
6.4%
제71조 1554
 
5.5%
제76조 682
 
2.4%
제74조 634
 
2.2%
식품위생법제58조 607
 
2.1%
제37조 593
 
2.1%
7항 552
 
2.0%
Other values (912) 11090
39.3%
2024-05-11T15:43:44.183580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18358
12.3%
제 17196
11.5%
조 15386
 
10.3%
법 14563
 
9.8%
7 8085
 
5.4%
1 7639
 
5.1%
위 7266
 
4.9%
생 6186
 
4.1%
품 5896
 
4.0%
식 5868
 
3.9%
Other values (152) 42734
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90941
61.0%
Decimal Number 34120
 
22.9%
Space Separator 18358
 
12.3%
Other Punctuation 3351
 
2.2%
Close Punctuation 1203
 
0.8%
Open Punctuation 1203
 
0.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 17196
18.9%
조 15386
16.9%
법 14563
16.0%
위 7266
8.0%
생 6186
 
6.8%
품 5896
 
6.5%
식 5868
 
6.5%
항 2388
 
2.6%
및 2248
 
2.5%
반 1060
 
1.2%
Other values (131) 12884
14.2%
Decimal Number
ValueCountFrequency (%)
7 8085
23.7%
1 7639
22.4%
5 4408
12.9%
2 3381
9.9%
3 2968
 
8.7%
4 2522
 
7.4%
6 1929
 
5.7%
8 1889
 
5.5%
0 1232
 
3.6%
9 67
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 3326
99.3%
' 14
 
0.4%
? 5
 
0.1%
. 4
 
0.1%
* 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1196
99.4%
] 7
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1196
99.4%
[ 7
 
0.6%
Space Separator
ValueCountFrequency (%)
18358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90941
61.0%
Common 58236
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 17196
18.9%
조 15386
16.9%
법 14563
16.0%
위 7266
8.0%
생 6186
 
6.8%
품 5896
 
6.5%
식 5868
 
6.5%
항 2388
 
2.6%
및 2248
 
2.5%
반 1060
 
1.2%
Other values (131) 12884
14.2%
Common
ValueCountFrequency (%)
18358
31.5%
7 8085
13.9%
1 7639
13.1%
5 4408
 
7.6%
2 3381
 
5.8%
, 3326
 
5.7%
3 2968
 
5.1%
4 2522
 
4.3%
6 1929
 
3.3%
8 1889
 
3.2%
Other values (11) 3731
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90941
61.0%
ASCII 58236
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18358
31.5%
7 8085
13.9%
1 7639
13.1%
5 4408
 
7.6%
2 3381
 
5.8%
, 3326
 
5.7%
3 2968
 
5.1%
4 2522
 
4.3%
6 1929
 
3.3%
8 1889
 
3.2%
Other values (11) 3731
 
6.4%
Hangul
ValueCountFrequency (%)
제 17196
18.9%
조 15386
16.9%
법 14563
16.0%
위 7266
8.0%
생 6186
 
6.8%
품 5896
 
6.5%
식 5868
 
6.5%
항 2388
 
2.6%
및 2248
 
2.5%
반 1060
 
1.2%
Other values (131) 12884
14.2%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3008
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20093094
Minimum200703
Maximum29920928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:43:44.400617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200703
5-th percentile20020422
Q120041029
median20090521
Q320161019
95-th percentile20230330
Maximum29920928
Range29720225
Interquartile range (IQR)119990

Descriptive statistics

Standard deviation565367.43
Coefficient of variation (CV)0.0281374
Kurtosis914.86954
Mean20093094
Median Absolute Deviation (MAD)59596
Skewness-24.693007
Sum2.0093094 × 1011
Variance3.1964034 × 1011
MonotonicityNot monotonic
2024-05-11T15:43:44.597223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021126 153
 
1.5%
20021128 127
 
1.3%
20101231 106
 
1.1%
20230330 77
 
0.8%
20111231 77
 
0.8%
20021202 72
 
0.7%
20080326 61
 
0.6%
20091001 59
 
0.6%
20110101 51
 
0.5%
20230524 49
 
0.5%
Other values (2998) 9168
91.7%
ValueCountFrequency (%)
200703 1
< 0.1%
2003109 1
< 0.1%
2006102 2
< 0.1%
2021126 2
< 0.1%
2170302 1
< 0.1%
2170622 1
< 0.1%
19651231 1
< 0.1%
19861028 1
< 0.1%
19861231 1
< 0.1%
19870420 1
< 0.1%
ValueCountFrequency (%)
29920928 3
< 0.1%
28001230 3
< 0.1%
20240318 1
 
< 0.1%
20240228 2
< 0.1%
20240226 1
 
< 0.1%
20240221 1
 
< 0.1%
20240213 2
< 0.1%
20240206 1
 
< 0.1%
20240201 2
< 0.1%
20240131 2
< 0.1%

위반내용
Text

Distinct3251
Distinct (%)32.5%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:43:44.921335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length336
Median length174
Mean length19.225045
Min length1

Characters and Unicode

Total characters192212
Distinct characters720
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1937 ?
Unique (%)19.4%

Sample

1st row식품첨가물(솔빈산 칼륨) 용도 미표시 (제품명:알포)
2nd row종사자 2명, 영업자 1명 건강진단 미실시 종업원 1/2미만 건강진단 미실시 종사자 종사 즉시조치 감경(1/2) 영업자:(20+30)/2= 25만원 종사자: 10/2=5만원
3rd row6개월이상장기휴업(무단폐업)
4th row2017년 위생교육 미이수
5th row청소년주류제공
ValueCountFrequency (%)
영업시설물 736
 
2.3%
멸실 706
 
2.2%
515
 
1.6%
영업장 497
 
1.5%
하지 494
 
1.5%
및 448
 
1.4%
6개월이상 437
 
1.4%
건강진단 437
 
1.4%
미이수 425
 
1.3%
사업자등록 391
 
1.2%
Other values (5027) 27234
84.3%
2024-05-11T15:43:45.480185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24276
 
12.6%
업 7404
 
3.9%
영 3784
 
2.0%
0 3695
 
1.9%
미 3640
 
1.9%
시 3307
 
1.7%
1 3274
 
1.7%
2 3225
 
1.7%
) 2869
 
1.5%
( 2867
 
1.5%
Other values (710) 133871
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139492
72.6%
Space Separator 24276
 
12.6%
Decimal Number 15680
 
8.2%
Other Punctuation 3721
 
1.9%
Close Punctuation 2942
 
1.5%
Open Punctuation 2933
 
1.5%
Dash Punctuation 2850
 
1.5%
Lowercase Letter 153
 
0.1%
Uppercase Letter 122
 
0.1%
Math Symbol 17
 
< 0.1%
Other values (5) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7404
 
5.3%
영 3784
 
2.7%
미 3640
 
2.6%
시 3307
 
2.4%
장 2825
 
2.0%
기 2721
 
2.0%
위 2637
 
1.9%
단 2518
 
1.8%
이 2463
 
1.8%
설 2230
 
1.6%
Other values (633) 105963
76.0%
Uppercase Letter
ValueCountFrequency (%)
E 16
13.1%
O 11
 
9.0%
R 10
 
8.2%
A 10
 
8.2%
C 8
 
6.6%
T 8
 
6.6%
L 8
 
6.6%
P 7
 
5.7%
N 6
 
4.9%
S 6
 
4.9%
Other values (11) 32
26.2%
Lowercase Letter
ValueCountFrequency (%)
g 43
28.1%
m 22
14.4%
o 20
13.1%
l 13
 
8.5%
k 11
 
7.2%
e 8
 
5.2%
n 8
 
5.2%
i 8
 
5.2%
y 4
 
2.6%
w 4
 
2.6%
Other values (4) 12
 
7.8%
Other Punctuation
ValueCountFrequency (%)
. 1874
50.4%
/ 687
 
18.5%
, 604
 
16.2%
: 423
 
11.4%
? 43
 
1.2%
' 38
 
1.0%
* 18
 
0.5%
% 15
 
0.4%
; 12
 
0.3%
@ 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 3695
23.6%
1 3274
20.9%
2 3225
20.6%
6 1453
 
9.3%
3 1073
 
6.8%
4 781
 
5.0%
5 674
 
4.3%
7 536
 
3.4%
9 500
 
3.2%
8 469
 
3.0%
Math Symbol
ValueCountFrequency (%)
= 6
35.3%
+ 4
23.5%
> 2
 
11.8%
→ 2
 
11.8%
~ 2
 
11.8%
< 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 2869
97.5%
] 53
 
1.8%
」 20
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 2867
97.7%
[ 53
 
1.8%
「 13
 
0.4%
Other Symbol
ValueCountFrequency (%)
○ 5
83.3%
㈜ 1
 
16.7%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
24276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2850
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 8
100.0%
Final Punctuation
ValueCountFrequency (%)
” 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139488
72.6%
Common 52444
 
27.3%
Latin 275
 
0.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7404
 
5.3%
영 3784
 
2.7%
미 3640
 
2.6%
시 3307
 
2.4%
장 2825
 
2.0%
기 2721
 
2.0%
위 2637
 
1.9%
단 2518
 
1.8%
이 2463
 
1.8%
설 2230
 
1.6%
Other values (631) 105959
76.0%
Common
ValueCountFrequency (%)
24276
46.3%
0 3695
 
7.0%
1 3274
 
6.2%
2 3225
 
6.1%
) 2869
 
5.5%
( 2867
 
5.5%
- 2850
 
5.4%
. 1874
 
3.6%
6 1453
 
2.8%
3 1073
 
2.0%
Other values (31) 4988
 
9.5%
Latin
ValueCountFrequency (%)
g 43
 
15.6%
m 22
 
8.0%
o 20
 
7.3%
E 16
 
5.8%
l 13
 
4.7%
k 11
 
4.0%
O 11
 
4.0%
R 10
 
3.6%
A 10
 
3.6%
C 8
 
2.9%
Other values (25) 111
40.4%
Han
ValueCountFrequency (%)
酒 2
40.0%
類 2
40.0%
人 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139486
72.6%
ASCII 52658
 
27.4%
None 37
 
< 0.1%
Punctuation 16
 
< 0.1%
Geometric Shapes 5
 
< 0.1%
CJK 5
 
< 0.1%
Arrows 2
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24276
46.1%
0 3695
 
7.0%
1 3274
 
6.2%
2 3225
 
6.1%
) 2869
 
5.4%
( 2867
 
5.4%
- 2850
 
5.4%
. 1874
 
3.6%
6 1453
 
2.8%
3 1073
 
2.0%
Other values (57) 5202
 
9.9%
Hangul
ValueCountFrequency (%)
업 7404
 
5.3%
영 3784
 
2.7%
미 3640
 
2.6%
시 3307
 
2.4%
장 2825
 
2.0%
기 2721
 
2.0%
위 2637
 
1.9%
단 2518
 
1.8%
이 2463
 
1.8%
설 2230
 
1.6%
Other values (629) 105957
76.0%
None
ValueCountFrequency (%)
」 20
54.1%
「 13
35.1%
？ 3
 
8.1%
㈜ 1
 
2.7%
Punctuation
ValueCountFrequency (%)
“ 8
50.0%
” 8
50.0%
Geometric Shapes
ValueCountFrequency (%)
○ 5
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
CJK
ValueCountFrequency (%)
酒 2
40.0%
類 2
40.0%
人 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%

처분내용
Text

Distinct1350
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:43:45.778472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length110
Mean length9.5819
Min length2

Characters and Unicode

Total characters95819
Distinct characters253
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique773 ?
Unique (%)7.7%

Sample

1st row시정명령
2nd row과태료부과
3rd row영업소폐쇄(건물주요청)
4th row과태료부과
5th row행정심판의거영업정지1월로 변경처분(서울특별시법무담당관5990(2006.5.15)의거)
ValueCountFrequency (%)
시정명령 1785
 
13.2%
영업소폐쇄 1557
 
11.5%
과태료부과 917
 
6.8%
영업정지 643
 
4.8%
직권말소 474
 
3.5%
시설개수명령 453
 
3.4%
부과 258
 
1.9%
과태료 243
 
1.8%
과징금 177
 
1.3%
원 169
 
1.3%
Other values (1642) 6818
50.5%
2024-05-11T15:43:46.272932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6413
 
6.7%
0 5414
 
5.7%
정 4418
 
4.6%
업 4184
 
4.4%
영 4157
 
4.3%
2 3555
 
3.7%
3506
 
3.7%
원 2875
 
3.0%
1 2841
 
3.0%
부 2832
 
3.0%
Other values (243) 55624
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67476
70.4%
Decimal Number 17622
 
18.4%
Space Separator 3506
 
3.7%
Other Punctuation 2758
 
2.9%
Close Punctuation 1921
 
2.0%
Open Punctuation 1918
 
2.0%
Math Symbol 347
 
0.4%
Dash Punctuation 270
 
0.3%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.5%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.1%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (216) 31489
46.7%
Decimal Number
ValueCountFrequency (%)
0 5414
30.7%
2 3555
20.2%
1 2841
16.1%
3 1302
 
7.4%
5 1209
 
6.9%
4 841
 
4.8%
6 748
 
4.2%
7 721
 
4.1%
8 620
 
3.5%
9 371
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 2206
80.0%
, 412
 
14.9%
% 52
 
1.9%
/ 44
 
1.6%
: 37
 
1.3%
* 4
 
0.1%
; 2
 
0.1%
※ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 337
97.1%
> 5
 
1.4%
→ 4
 
1.2%
= 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67476
70.4%
Common 28343
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.5%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.1%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (216) 31489
46.7%
Common
ValueCountFrequency (%)
0 5414
19.1%
2 3555
12.5%
3506
12.4%
1 2841
10.0%
. 2206
7.8%
) 1921
 
6.8%
( 1918
 
6.8%
3 1302
 
4.6%
5 1209
 
4.3%
4 841
 
3.0%
Other values (17) 3630
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67332
70.3%
ASCII 28338
29.6%
Compat Jamo 144
 
0.2%
Arrows 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6413
 
9.5%
정 4418
 
6.6%
업 4184
 
6.2%
영 4157
 
6.2%
원 2875
 
4.3%
부 2832
 
4.2%
시 2813
 
4.2%
명 2799
 
4.2%
령 2785
 
4.1%
료 2711
 
4.0%
Other values (215) 31345
46.6%
ASCII
ValueCountFrequency (%)
0 5414
19.1%
2 3555
12.5%
3506
12.4%
1 2841
10.0%
. 2206
7.8%
) 1921
 
6.8%
( 1918
 
6.8%
3 1302
 
4.6%
5 1209
 
4.3%
4 841
 
3.0%
Other values (15) 3625
12.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 144
100.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)2.4%
Missing8890
Missing (%)88.9%
Infinite0
Infinite (%)0.0%
Mean11.345045
Minimum0
Maximum30
Zeros63
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:43:46.427154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median15
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7261559
Coefficient of variation (CV)0.50472747
Kurtosis-0.13277742
Mean11.345045
Median Absolute Deviation (MAD)5
Skewness-0.0020835793
Sum12593
Variance32.788862
MonotonicityNot monotonic
2024-05-11T15:43:46.975896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
15 457
 
4.6%
7 285
 
2.9%
0 63
 
0.6%
10 53
 
0.5%
20 45
 
0.4%
5 31
 
0.3%
8 25
 
0.2%
3 22
 
0.2%
2 19
 
0.2%
17 18
 
0.2%
Other values (17) 92
 
0.9%
(Missing) 8890
88.9%
ValueCountFrequency (%)
0 63
 
0.6%
1 2
 
< 0.1%
2 19
 
0.2%
3 22
 
0.2%
4 6
 
0.1%
5 31
 
0.3%
6 5
 
0.1%
7 285
2.9%
8 25
 
0.2%
10 53
 
0.5%
ValueCountFrequency (%)
30 7
 
0.1%
29 1
 
< 0.1%
26 1
 
< 0.1%
25 9
 
0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 10
 
0.1%
21 6
 
0.1%
20 45
0.4%
19 6
 
0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2431
Distinct (%)45.9%
Missing4704
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean208.85073
Minimum0
Maximum25524.92
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:43:47.189914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.485
Q137.5
median75.625
Q3124.88
95-th percentile492.02
Maximum25524.92
Range25524.92
Interquartile range (IQR)87.38

Descriptive statistics

Standard deviation1044.5771
Coefficient of variation (CV)5.0015487
Kurtosis282.92241
Mean208.85073
Median Absolute Deviation (MAD)41.9
Skewness15.485495
Sum1106073.5
Variance1091141.4
MonotonicityNot monotonic
2024-05-11T15:43:47.406659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.07 37
 
0.4%
33.0 26
 
0.3%
19.8 23
 
0.2%
256.46 20
 
0.2%
1081.0 20
 
0.2%
66.0 19
 
0.2%
14.5 19
 
0.2%
15.0 19
 
0.2%
101.42 18
 
0.2%
12.87 17
 
0.2%
Other values (2421) 5078
50.8%
(Missing) 4704
47.0%
ValueCountFrequency (%)
0.0 9
0.1%
0.8 1
 
< 0.1%
1.0 1
 
< 0.1%
1.5 1
 
< 0.1%
2.4 1
 
< 0.1%
2.78 1
 
< 0.1%
2.98 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 2
 
< 0.1%
3.9 1
 
< 0.1%
ValueCountFrequency (%)
25524.92 1
 
< 0.1%
22041.0 1
 
< 0.1%
20574.41 1
 
< 0.1%
20558.67 4
< 0.1%
18598.8 1
 
< 0.1%
15016.24 1
 
< 0.1%
12388.79 1
 
< 0.1%
12062.82 1
 
< 0.1%
11271.0 1
 
< 0.1%
11077.0 2
< 0.1%

Interactions

2024-05-11T15:43:34.100636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.035746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.801922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.520297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.356445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:34.290671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.188526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.951010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.690795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.500044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:34.481975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.354291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.093974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.913110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.632184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:34.652673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.502025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.218787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.105157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.776832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:34.791283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:31.649560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:32.353343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.215749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:33.939227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:43:47.553690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.5750.6040.9980.0000.4180.140
업종명0.5751.0000.9990.5330.0300.5550.528
업태명0.6040.9991.0000.5680.1900.6520.746
지도점검일자0.9980.5330.5681.0000.0000.4100.142
위반일자0.0000.0300.1900.0001.000NaN0.000
처분기간0.4180.5550.6520.410NaN1.0000.148
영업장면적(㎡)0.1400.5280.7460.1420.0000.1481.000
2024-05-11T15:43:47.716139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9980.943-0.2690.0260.219
지도점검일자0.9981.0000.947-0.2730.0240.197
위반일자0.9430.9471.000-0.2730.0540.031
처분기간-0.269-0.273-0.2731.000-0.1390.275
영업장면적(㎡)0.0260.0240.054-0.1391.0000.226
업종명0.2190.1970.0310.2750.2261.000

Missing values

2024-05-11T15:43:34.986067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:43:35.361538image/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.
2024-05-11T15:43:35.929203image/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(㎡)
1009830100002005010319990029864식품소분업식품소분업동아물산<NA>서울특별시 중구 을지로5가 262번지 0호20040531처분확정시정명령식품위생법 제10조20041213식품첨가물(솔빈산 칼륨) 용도 미표시 (제품명:알포)시정명령<NA><NA>
195230100002023080719920029807일반음식점한식필동면옥서울특별시 중구 서애로 26, (필동3가)서울특별시 중구 필동3가 1번지 5호20230728처분확정과태료부과제67조20230728종사자 2명, 영업자 1명 건강진단 미실시 종업원 1/2미만 건강진단 미실시 종사자 종사 즉시조치 감경(1/2) 영업자:(20+30)/2= 25만원 종사자: 10/2=5만원과태료부과<NA>156.0
118030100002002092819840029399일반음식점중국식삼성원<NA>서울특별시 중구 신당동 372번지 40호20020812처분확정영업소폐쇄(건물주요청)식품위생법제58조제3항200208126개월이상장기휴업(무단폐업)영업소폐쇄(건물주요청)<NA>45.9
1043130100002018102420160030450식품소분업식품소분업하늘갓서울특별시 중구 을지로32길 6, 1층 (을지로5가)서울특별시 중구 을지로5가 269번지 2호 1층20181005처분확정과태료부과법 제101조제2항제1호201801012017년 위생교육 미이수과태료부과<NA><NA>
472230100002006060720030030060일반음식점분식오마이치킨<NA>서울특별시 중구 중림동 200번지 (중림동삼성사이버빌리지상가1) 102-1호,102-2호20051226처분확정행정심판의거영업정지1월로 변경처분(서울특별시법무담당관5990(2006.5.15)의거)식품위생법 제58조20051226청소년주류제공행정심판의거영업정지1월로 변경처분(서울특별시법무담당관5990(2006.5.15)의거)<NA><NA>
80730100002002111419770029076일반음식점중국식반도루<NA>서울특별시 중구 다동 49번지 0호20021030처분확정영업소폐쇄(직권)식품위생법제58조200210306개월이상무단휴업및 영업장시설물철거영업소폐쇄(직권)<NA>26.76
783330100002008042120010029534유흥주점영업룸살롱스타<NA>서울특별시 중구 을지로4가 162번지 8호 지하1층20081218처분확정과태료부과(20만원)법제27조(위생교육)위반, 법제78조(과태료)규정20080326기존영업자 위생교육 미이수(2007년도)과태료부과(20만원)<NA><NA>
63230100002015122119720029084일반음식점한식다동골서울특별시 중구 을지로3길 30-18, (다동)서울특별시 중구 다동 123번지 6호20151123처분확정시정명령법 제71조, 법 제74조 및 법 제75조20151123영업장면적 무단변경시정명령<NA>54.75
574530100002019121020090029099일반음식점통닭(치킨)오븐에빠진닭서울특별시 중구 명동7길 21, (을지로2가,외1필지(1층 114호, 128호))서울특별시 중구 을지로2가 199번지 40호 외1필지(1층 114호, 128호)20191104처분확정시설개수명령법 제71조, 법 제72조, 법 제75조 및 법 제76조20191104이물 혼입(치킨무 메뉴 내 날파리 혼입)시설개수명령<NA><NA>
55830100002007042419660029013일반음식점중국식필동반점<NA>서울특별시 중구 필동2가 74번지 3호20061231처분확정과태료20만원부과식품위생법 제27조 및 제78조200612312006보수교육미이수과태료20만원부과<NA>39.12
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
686330100002023052620200030029일반음식점일식(주)이춘복참치을지로점서울특별시 중구 을지로5길 26, 지하2층 205호 (수하동)서울특별시 중구 수하동 67번지20230427처분확정영업정지법 제71조, 법 제72조 및 법 제75조20230427알탕 메뉴 내 바퀴벌레 사채 혼입영업정지5391.9
910130100002004072920040029540휴게음식점일반조리판매덮밥<NA>서울특별시 중구 소공동 1번지 외6필지 롯데백화점(지하1층)20040623처분확정시설개수명령식품위생법제55조20040623시설기준위반(손님이조리장내부를볼수있는구조로되어야한다)규정위반-자체시설개수명령<NA><NA>
1001630100002021022420170029313즉석판매제조가공업즉석판매제조가공업꺽정이네 떡서울특별시 중구 퇴계로86길 41, (신당동, 1층)서울특별시 중구 신당동 145번지 8호 1층20210202처분확정과태료부과법 제101조제2항 제1호20210202영업자 건강진단 미실시과태료부과<NA><NA>
355730100002005011719990030558일반음식점일식갯마을횟집<NA>서울특별시 중구 신당동 233번지 12호20041224처분확정영업소폐쇄식품위생법제58조200412246개월이상장기휴업-건물주요청직권취소영업소폐쇄<NA>43.0
918830100002019120420080029519휴게음식점커피숍공차서울특별시 중구 퇴계로 109, (충무로1가,(지상1층))서울특별시 중구 충무로1가 24번지 31호 (지상1층)20191104처분확정시설개수명령법 제71조, 법 제74조,법 제75조 및 법 제76조20191104음식물 쓰레기통 뚜껑 미비시설개수명령<NA>152.73
514430100002024031820050029593일반음식점기타투데이명동일번가서울특별시 중구 명동8가길 31, (충무로2가,(지상2층))서울특별시 중구 충무로2가 12번지 19호 (지상2층)20240318처분확정직권말소법 제75조 3항20240318사업자등록 말소 후 식품접객업 폐업신고를 하지 아니함직권말소<NA><NA>
280530100002007011219970029402일반음식점경양식라스타<NA>서울특별시 중구 을지로2가 199번지 74호20061205처분확정과태료30만원부과-서울시 위생과20523(20061206)호관련임식품위생법 제26조20061205종업원건강진단미필(1/3명)과태료30만원부과-서울시 위생과20523(20061206)호관련임<NA>119.48
425430100002008090420010029724일반음식점한식극동골뱅이<NA>서울특별시 중구 인현동2가 192번지 20호 지상1층20081111처분확정시정명령식품위생법 제21조(시설기준)제22조(영업의허가등)위반, 법제55조(시정명령)규정에 의거20080805영업장 외지역 영업장 무단확장시정명령<NA><NA>
219930100002002051619940029314일반음식점호프/통닭치키치키<NA>서울특별시 중구 신당동 44번지 11호20020226처분확정시정명령식품위생법제25조20020226영업자 지위승계 미이행시정명령<NA>16.35
182730100002010112519910029598일반음식점한식소라하우스<NA>서울특별시 중구 을지로2가 50번지 0호20101125처분확정영업소폐쇄식품위생법 제75조20101125영업시설물 멸실영업소폐쇄<NA>11.89

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
66930100002019110120160030050일반음식점외국음식전문점(인도,태국등)엘본더테이블 명동점서울특별시 중구 남대문로 81, (소공동, 롯데백화점 14층)서울특별시 중구 소공동 1번지 롯데백화점 14층20191029처분확정과태료부과법 제101조제2항제1호20191029종업원 건강진단결과서 미필과태료부과<NA><NA>16
66830100002019110120160030050일반음식점외국음식전문점(인도,태국등)엘본더테이블 명동점서울특별시 중구 남대문로 81, (소공동, 롯데백화점 14층)서울특별시 중구 소공동 1번지 롯데백화점 14층20191029처분확정과태료부과법 제101조제2항제1호20191029위생모 미착용과태료부과<NA><NA>10
28330100002008052919960029616일반음식점일식일식어가<NA>서울특별시 중구 을지로6가 17번지 2호 11층25호20081024처분확정영업소폐쇄식품위생법제21조(시설기준)위반20080508영업시설물 전부멸실영업소폐쇄<NA>72.028
40430100002012010220060030041식품등 수입판매업식품등 수입판매업제이.아이.프로모션서울특별시 중구 동호로 352, (을지로5가,동신빌딩 601, 602, 203, 103호)서울특별시 중구 을지로5가 275번지 5호 동신빌딩 601, 602, 203, 103호20120102처분확정과태료부과식품위생법 제41조20111231기존영업자 식품위생교육 미이수과태료부과<NA><NA>8
53330100002017101120100029747일반음식점한식엉터리 생고기 무한리필(명동점)서울특별시 중구 명동4길 23, (명동2가,(2층, 3층, 4층))서울특별시 중구 명동2가 54번지 32호 (2층, 3층, 4층)20170906처분확정시설개수명령법 제71조, 법 제74조,법 제75조 및 법 제76조20170906조리장내 내수성뚜껑 미사용시설개수명령<NA><NA>8
78630100002024010520170029257일반음식점한식광화문 국밥서울특별시 중구 세종대로21길 53, (정동, 1층)서울특별시 중구 정동 1번지 48호 1층20240102처분확정과태료부과법 제101조제3항제1호20240102종사자 건강진단 미실시과태료부과<NA><NA>8
59530100002018041820000030145일반음식점분식리슈 동까쭈서울특별시 중구 장충단로 249-28, (을지로6가,(지상2층))서울특별시 중구 을지로6가 18번지 82호 (지상2층)20180124처분확정영업소폐쇄 2018.4.18법 제20조제4항제2호20180124영업시설물 멸실영업소폐쇄 2018.4.18<NA><NA>7
58930100002018040419980029330일반음식점분식만선호프서울특별시 중구 을지로13길 19, (을지로3가,,2호(지상1층))서울특별시 중구 을지로3가 95번지 1호 ,2호(지상1층)20180308처분확정시정명령법 제71조, 법 제74조 및 법 제75조20180308영업장 면적을 변경하고 변경신고를 하지 않음.시정명령<NA>99.076
59230100002018040419980029330일반음식점분식만선호프서울특별시 중구 을지로13길 19, (을지로3가,,2호(지상1층))서울특별시 중구 을지로3가 95번지 1호 ,2호(지상1층)20180308처분확정시정명령(18.4.4)법 제71조, 법 제74조 및 법 제75조20180308영업장 면적을 변경하고 변경신고를 하지 않음.시정명령(18.4.4)<NA>99.076
59630100002018041820080029915일반음식점한식리슈(얼음보숭)서울특별시 중구 장충단로 249-28, (을지로6가,(지상3층))서울특별시 중구 을지로6가 18번지 82호 (지상3층)20180124처분확정영업소폐쇄 2018.4.18법 제20조제4항제2호20180124영업시설물 멸실영업소폐쇄 2018.4.18<NA><NA>5