Overview

Dataset statistics

Number of variables17
Number of observations8482
Missing cells14324
Missing cells (%)9.9%
Duplicate rows433
Duplicate rows (%)5.1%
Total size in memory1.1 MiB
Average record size in memory142.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-9840/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 433 (5.1%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
업종명 is highly imbalanced (61.0%)Imbalance
소재지도로명 has 3956 (46.6%) missing valuesMissing
처분기간 has 6768 (79.8%) missing valuesMissing
영업장면적(㎡) has 3546 (41.8%) missing valuesMissing
처분기간 has 621 (7.3%) zerosZeros

Reproduction

Analysis started2024-05-04 05:09:29.139956
Analysis finished2024-05-04 05:09:46.633490
Duration17.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
3000000
8482 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 8482
100.0%

Length

2024-05-04T05:09:47.078071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:09:47.405566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 8482
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2165
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122071
Minimum20010103
Maximum20240401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:09:47.978608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010103
5-th percentile20030430
Q120071047
median20121030
Q320170205
95-th percentile20211222
Maximum20240401
Range230298
Interquartile range (IQR)99157.75

Descriptive statistics

Standard deviation58143.679
Coefficient of variation (CV)0.0028895474
Kurtosis-0.91549796
Mean20122071
Median Absolute Deviation (MAD)49582
Skewness0.029505124
Sum1.7067541 × 1011
Variance3.3806874 × 109
MonotonicityDecreasing
2024-05-04T05:09:48.404776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130909 134
 
1.6%
20050905 60
 
0.7%
20151019 52
 
0.6%
20150602 51
 
0.6%
20160405 45
 
0.5%
20061115 44
 
0.5%
20171011 43
 
0.5%
20101013 43
 
0.5%
20150909 40
 
0.5%
20051121 36
 
0.4%
Other values (2155) 7934
93.5%
ValueCountFrequency (%)
20010103 2
< 0.1%
20010108 1
< 0.1%
20010118 1
< 0.1%
20010129 1
< 0.1%
20010207 1
< 0.1%
20010213 1
< 0.1%
20010307 1
< 0.1%
20010314 1
< 0.1%
20010406 1
< 0.1%
20010412 1
< 0.1%
ValueCountFrequency (%)
20240401 2
 
< 0.1%
20240326 4
< 0.1%
20240307 1
 
< 0.1%
20240305 5
0.1%
20240304 1
 
< 0.1%
20240215 1
 
< 0.1%
20240208 3
< 0.1%
20240207 1
 
< 0.1%
20240206 1
 
< 0.1%
20240202 2
 
< 0.1%

교부번호
Text

Distinct4057
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-04T05:09:49.110155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.498585
Min length1

Characters and Unicode

Total characters89049
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2392 ?
Unique (%)28.2%

Sample

1st row0138
2nd row0036
3rd row20190025869
4th row20230035588
5th row20210025842
ValueCountFrequency (%)
19690025019 54
 
0.6%
19860025456 42
 
0.5%
20030025874 39
 
0.5%
19840025203 32
 
0.4%
20180025886 30
 
0.4%
20050025074 30
 
0.4%
20000025206 28
 
0.3%
19970025367 28
 
0.3%
20000025253 24
 
0.3%
19830025014 24
 
0.3%
Other values (4047) 8151
96.1%
2024-05-04T05:09:50.422778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28240
31.7%
2 16263
18.3%
5 10803
 
12.1%
1 8172
 
9.2%
9 7708
 
8.7%
3 3758
 
4.2%
6 3717
 
4.2%
8 3617
 
4.1%
4 3512
 
3.9%
7 3185
 
3.6%
Other values (3) 74
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88975
99.9%
Dash Punctuation 70
 
0.1%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28240
31.7%
2 16263
18.3%
5 10803
 
12.1%
1 8172
 
9.2%
9 7708
 
8.7%
3 3758
 
4.2%
6 3717
 
4.2%
8 3617
 
4.1%
4 3512
 
3.9%
7 3185
 
3.6%
Other Letter
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89045
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28240
31.7%
2 16263
18.3%
5 10803
 
12.1%
1 8172
 
9.2%
9 7708
 
8.7%
3 3758
 
4.2%
6 3717
 
4.2%
8 3617
 
4.1%
4 3512
 
3.9%
7 3185
 
3.6%
Hangul
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89045
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28240
31.7%
2 16263
18.3%
5 10803
 
12.1%
1 8172
 
9.2%
9 7708
 
8.7%
3 3758
 
4.2%
6 3717
 
4.2%
8 3617
 
4.1%
4 3512
 
3.9%
7 3185
 
3.6%
Hangul
ValueCountFrequency (%)
제 2
50.0%
호 2
50.0%

업종명
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
일반음식점
5817 
유흥주점영업
849 
휴게음식점
 
406
단란주점
 
295
숙박업(일반)
 
202
Other values (29)
913 

Length

Max length16
Median length5
Mean length5.2843669
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5817
68.6%
유흥주점영업 849
 
10.0%
휴게음식점 406
 
4.8%
단란주점 295
 
3.5%
숙박업(일반) 202
 
2.4%
식품등 수입판매업 156
 
1.8%
위생관리용역업 113
 
1.3%
이용업 84
 
1.0%
즉석판매제조가공업 75
 
0.9%
식품제조가공업 74
 
0.9%
Other values (24) 411
 
4.8%

Length

2024-05-04T05:09:50.892840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5817
67.3%
유흥주점영업 849
 
9.8%
휴게음식점 406
 
4.7%
단란주점 295
 
3.4%
숙박업(일반 202
 
2.3%
식품등 156
 
1.8%
수입판매업 156
 
1.8%
위생관리용역업 113
 
1.3%
이용업 84
 
1.0%
즉석판매제조가공업 75
 
0.9%
Other values (22) 494
 
5.7%

업태명
Text

Distinct75
Distinct (%)0.9%
Missing7
Missing (%)0.1%
Memory size66.4 KiB
2024-05-04T05:09:51.432295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length2
Mean length3.2044838
Min length2

Characters and Unicode

Total characters27158
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 row여관업
2nd row공동탕업
3rd row기타
4th row기타
5th row한식
ValueCountFrequency (%)
한식 2699
31.0%
기타 888
 
10.2%
경양식 818
 
9.4%
룸살롱 684
 
7.8%
분식 667
 
7.7%
단란주점 295
 
3.4%
호프/통닭 250
 
2.9%
일식 184
 
2.1%
식품등 156
 
1.8%
수입판매업 156
 
1.8%
Other values (65) 1921
22.0%
2024-05-04T05:09:52.442710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4924
 
18.1%
한 2703
 
10.0%
업 1076
 
4.0%
기 923
 
3.4%
타 891
 
3.3%
경 818
 
3.0%
양 818
 
3.0%
살 691
 
2.5%
롱 691
 
2.5%
룸 684
 
2.5%
Other values (146) 12939
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26224
96.6%
Other Punctuation 409
 
1.5%
Space Separator 243
 
0.9%
Close Punctuation 135
 
0.5%
Open Punctuation 135
 
0.5%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4924
18.8%
한 2703
 
10.3%
업 1076
 
4.1%
기 923
 
3.5%
타 891
 
3.4%
경 818
 
3.1%
양 818
 
3.1%
살 691
 
2.6%
롱 691
 
2.6%
룸 684
 
2.6%
Other values (140) 12005
45.8%
Other Punctuation
ValueCountFrequency (%)
/ 378
92.4%
, 31
 
7.6%
Space Separator
ValueCountFrequency (%)
243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26224
96.6%
Common 934
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4924
18.8%
한 2703
 
10.3%
업 1076
 
4.1%
기 923
 
3.5%
타 891
 
3.4%
경 818
 
3.1%
양 818
 
3.1%
살 691
 
2.6%
롱 691
 
2.6%
룸 684
 
2.6%
Other values (140) 12005
45.8%
Common
ValueCountFrequency (%)
/ 378
40.5%
243
26.0%
) 135
 
14.5%
( 135
 
14.5%
, 31
 
3.3%
+ 12
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26224
96.6%
ASCII 934
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4924
18.8%
한 2703
 
10.3%
업 1076
 
4.1%
기 923
 
3.5%
타 891
 
3.4%
경 818
 
3.1%
양 818
 
3.1%
살 691
 
2.6%
롱 691
 
2.6%
룸 684
 
2.6%
Other values (140) 12005
45.8%
ASCII
ValueCountFrequency (%)
/ 378
40.5%
243
26.0%
) 135
 
14.5%
( 135
 
14.5%
, 31
 
3.3%
+ 12
 
1.3%

업소명
Text

Distinct4182
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-04T05:09:53.116447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length5.2643245
Min length1

Characters and Unicode

Total characters44652
Distinct characters905
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2496 ?
Unique (%)29.4%

Sample

1st row테크노모텔
2nd row문화탕
3rd row추억커피숍
4th row알토
5th row그리운 금강산
ValueCountFrequency (%)
주식회사 54
 
0.5%
제주도 45
 
0.4%
복집 45
 
0.4%
종로 42
 
0.4%
광화문 37
 
0.4%
종로점 34
 
0.3%
익선동 31
 
0.3%
광화문점 30
 
0.3%
궁전 30
 
0.3%
청계천휴 30
 
0.3%
Other values (4645) 10064
96.4%
2024-05-04T05:09:54.476244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1962
 
4.4%
이 859
 
1.9%
스 851
 
1.9%
주 825
 
1.8%
리 678
 
1.5%
) 671
 
1.5%
( 663
 
1.5%
점 651
 
1.5%
로 623
 
1.4%
집 493
 
1.1%
Other values (895) 36376
81.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38730
86.7%
Space Separator 1962
 
4.4%
Lowercase Letter 1041
 
2.3%
Uppercase Letter 911
 
2.0%
Close Punctuation 673
 
1.5%
Open Punctuation 664
 
1.5%
Decimal Number 497
 
1.1%
Other Punctuation 126
 
0.3%
Letter Number 32
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 859
 
2.2%
스 851
 
2.2%
주 825
 
2.1%
리 678
 
1.8%
점 651
 
1.7%
로 623
 
1.6%
집 493
 
1.3%
마 440
 
1.1%
대 421
 
1.1%
가 412
 
1.1%
Other values (816) 32477
83.9%
Uppercase Letter
ValueCountFrequency (%)
A 85
 
9.3%
S 81
 
8.9%
B 73
 
8.0%
T 72
 
7.9%
C 61
 
6.7%
G 57
 
6.3%
O 53
 
5.8%
N 51
 
5.6%
E 49
 
5.4%
H 37
 
4.1%
Other values (16) 292
32.1%
Lowercase Letter
ValueCountFrequency (%)
e 132
12.7%
a 118
 
11.3%
o 85
 
8.2%
i 71
 
6.8%
n 66
 
6.3%
r 66
 
6.3%
l 56
 
5.4%
t 54
 
5.2%
s 50
 
4.8%
h 46
 
4.4%
Other values (15) 297
28.5%
Decimal Number
ValueCountFrequency (%)
2 107
21.5%
1 95
19.1%
5 60
12.1%
0 52
10.5%
4 42
 
8.5%
3 37
 
7.4%
9 32
 
6.4%
8 28
 
5.6%
7 26
 
5.2%
6 18
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 43
34.1%
& 31
24.6%
; 17
 
13.5%
? 13
 
10.3%
？ 10
 
7.9%
, 9
 
7.1%
% 2
 
1.6%
@ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 671
99.7%
] 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 663
99.8%
[ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 28
87.5%
Ⅰ 4
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
= 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38719
86.7%
Common 3938
 
8.8%
Latin 1984
 
4.4%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 859
 
2.2%
스 851
 
2.2%
주 825
 
2.1%
리 678
 
1.8%
점 651
 
1.7%
로 623
 
1.6%
집 493
 
1.3%
마 440
 
1.1%
대 421
 
1.1%
가 412
 
1.1%
Other values (806) 32466
83.9%
Latin
ValueCountFrequency (%)
e 132
 
6.7%
a 118
 
5.9%
A 85
 
4.3%
o 85
 
4.3%
S 81
 
4.1%
B 73
 
3.7%
T 72
 
3.6%
i 71
 
3.6%
n 66
 
3.3%
r 66
 
3.3%
Other values (43) 1135
57.2%
Common
ValueCountFrequency (%)
1962
49.8%
) 671
 
17.0%
( 663
 
16.8%
2 107
 
2.7%
1 95
 
2.4%
5 60
 
1.5%
0 52
 
1.3%
. 43
 
1.1%
4 42
 
1.1%
3 37
 
0.9%
Other values (16) 206
 
5.2%
Han
ValueCountFrequency (%)
秀 2
18.2%
酒 1
9.1%
泉 1
9.1%
金 1
9.1%
門 1
9.1%
玉 1
9.1%
內 1
9.1%
古 1
9.1%
蓮 1
9.1%
宮 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38719
86.7%
ASCII 5880
 
13.2%
Number Forms 32
 
0.1%
None 10
 
< 0.1%
CJK 9
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1962
33.4%
) 671
 
11.4%
( 663
 
11.3%
e 132
 
2.2%
a 118
 
2.0%
2 107
 
1.8%
1 95
 
1.6%
A 85
 
1.4%
o 85
 
1.4%
S 81
 
1.4%
Other values (66) 1881
32.0%
Hangul
ValueCountFrequency (%)
이 859
 
2.2%
스 851
 
2.2%
주 825
 
2.1%
리 678
 
1.8%
점 651
 
1.7%
로 623
 
1.6%
집 493
 
1.3%
마 440
 
1.1%
대 421
 
1.1%
가 412
 
1.1%
Other values (806) 32466
83.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 28
87.5%
Ⅰ 4
 
12.5%
None
ValueCountFrequency (%)
？ 10
100.0%
CJK
ValueCountFrequency (%)
秀 2
22.2%
酒 1
11.1%
泉 1
11.1%
門 1
11.1%
玉 1
11.1%
內 1
11.1%
古 1
11.1%
宮 1
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
50.0%
蓮 1
50.0%

소재지도로명
Text

MISSING 

Distinct2333
Distinct (%)51.5%
Missing3956
Missing (%)46.6%
Memory size66.4 KiB
2024-05-04T05:09:55.231622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length31.10517
Min length21

Characters and Unicode

Total characters140782
Distinct characters309
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

Unique1398 ?
Unique (%)30.9%

Sample

1st row서울특별시 종로구 돈화문로5길 28-3, (낙원동)
2nd row서울특별시 종로구 돈화문로5길 28-5, (낙원동)
3rd row서울특별시 종로구 돈화문로5길 42, 경산빌딩 지하1층 (낙원동)
4th row서울특별시 종로구 인사동길 18, 1, 2층 일부호 (인사동)
5th row서울특별시 종로구 돈화문로5길 42, 경산빌딩 2층 (낙원동)
ValueCountFrequency (%)
서울특별시 4526
 
17.5%
종로구 4526
 
17.5%
1층 785
 
3.0%
종로 582
 
2.2%
19 319
 
1.2%
관철동 285
 
1.1%
돈의동 189
 
0.7%
지상1층 188
 
0.7%
지하1층 182
 
0.7%
2층 167
 
0.6%
Other values (2043) 14175
54.7%
2024-05-04T05:09:56.788043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21429
 
15.2%
로 9381
 
6.7%
1 8256
 
5.9%
, 6800
 
4.8%
종 6617
 
4.7%
) 5005
 
3.6%
( 5001
 
3.6%
서 4617
 
3.3%
구 4582
 
3.3%
울 4548
 
3.2%
Other values (299) 64546
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78229
55.6%
Decimal Number 22524
 
16.0%
Space Separator 21429
 
15.2%
Other Punctuation 6895
 
4.9%
Close Punctuation 5005
 
3.6%
Open Punctuation 5001
 
3.6%
Dash Punctuation 1390
 
1.0%
Uppercase Letter 184
 
0.1%
Math Symbol 119
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9381
 
12.0%
종 6617
 
8.5%
서 4617
 
5.9%
구 4582
 
5.9%
울 4548
 
5.8%
시 4546
 
5.8%
별 4526
 
5.8%
특 4526
 
5.8%
동 4224
 
5.4%
층 2910
 
3.7%
Other values (263) 27752
35.5%
Uppercase Letter
ValueCountFrequency (%)
B 127
69.0%
D 24
 
13.0%
A 15
 
8.2%
C 3
 
1.6%
Y 2
 
1.1%
M 2
 
1.1%
L 2
 
1.1%
G 2
 
1.1%
O 2
 
1.1%
K 2
 
1.1%
Other values (2) 3
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 8256
36.7%
2 3560
15.8%
3 2289
 
10.2%
4 1559
 
6.9%
5 1463
 
6.5%
0 1330
 
5.9%
9 1056
 
4.7%
7 1019
 
4.5%
6 1005
 
4.5%
8 987
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
e 1
16.7%
r 1
16.7%
w 1
16.7%
o 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 6800
98.6%
. 88
 
1.3%
/ 5
 
0.1%
@ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5005
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1390
100.0%
Math Symbol
ValueCountFrequency (%)
~ 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78229
55.6%
Common 62363
44.3%
Latin 190
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9381
 
12.0%
종 6617
 
8.5%
서 4617
 
5.9%
구 4582
 
5.9%
울 4548
 
5.8%
시 4546
 
5.8%
별 4526
 
5.8%
특 4526
 
5.8%
동 4224
 
5.4%
층 2910
 
3.7%
Other values (263) 27752
35.5%
Common
ValueCountFrequency (%)
21429
34.4%
1 8256
 
13.2%
, 6800
 
10.9%
) 5005
 
8.0%
( 5001
 
8.0%
2 3560
 
5.7%
3 2289
 
3.7%
4 1559
 
2.5%
5 1463
 
2.3%
- 1390
 
2.2%
Other values (9) 5611
 
9.0%
Latin
ValueCountFrequency (%)
B 127
66.8%
D 24
 
12.6%
A 15
 
7.9%
C 3
 
1.6%
Y 2
 
1.1%
M 2
 
1.1%
L 2
 
1.1%
G 2
 
1.1%
O 2
 
1.1%
K 2
 
1.1%
Other values (7) 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78229
55.6%
ASCII 62553
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21429
34.3%
1 8256
 
13.2%
, 6800
 
10.9%
) 5005
 
8.0%
( 5001
 
8.0%
2 3560
 
5.7%
3 2289
 
3.7%
4 1559
 
2.5%
5 1463
 
2.3%
- 1390
 
2.2%
Other values (26) 5801
 
9.3%
Hangul
ValueCountFrequency (%)
로 9381
 
12.0%
종 6617
 
8.5%
서 4617
 
5.9%
구 4582
 
5.9%
울 4548
 
5.8%
시 4546
 
5.8%
별 4526
 
5.8%
특 4526
 
5.8%
동 4224
 
5.4%
층 2910
 
3.7%
Other values (263) 27752
35.5%

소재지지번
Text

Distinct3809
Distinct (%)45.0%
Missing14
Missing (%)0.2%
Memory size66.4 KiB
2024-05-04T05:09:57.438579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length58
Mean length27.235475
Min length20

Characters and Unicode

Total characters230630
Distinct characters327
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

Unique2097 ?
Unique (%)24.8%

Sample

1st row서울특별시 종로구 낙원동 191번지
2nd row서울특별시 종로구 낙원동 190번지
3rd row서울특별시 종로구 낙원동 197번지 1호 경산빌딩
4th row서울특별시 종로구 인사동 32번지 2호
5th row서울특별시 종로구 낙원동 197번지 1호 경산빌딩
ValueCountFrequency (%)
서울특별시 8468
 
18.8%
종로구 8468
 
18.8%
1호 1304
 
2.9%
관철동 843
 
1.9%
지상1층 832
 
1.8%
0호 783
 
1.7%
2호 732
 
1.6%
1층 519
 
1.2%
지하1층 487
 
1.1%
숭인동 447
 
1.0%
Other values (1481) 22228
49.3%
2024-05-04T05:09:58.715482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58217
25.2%
1 12019
 
5.2%
지 11091
 
4.8%
로 9881
 
4.3%
종 9736
 
4.2%
구 8591
 
3.7%
서 8567
 
3.7%
시 8495
 
3.7%
울 8491
 
3.7%
번 8484
 
3.7%
Other values (317) 87058
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130895
56.8%
Space Separator 58217
25.2%
Decimal Number 37911
 
16.4%
Other Punctuation 957
 
0.4%
Close Punctuation 788
 
0.3%
Open Punctuation 784
 
0.3%
Dash Punctuation 771
 
0.3%
Uppercase Letter 202
 
0.1%
Math Symbol 71
 
< 0.1%
Lowercase Letter 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11091
 
8.5%
로 9881
 
7.5%
종 9736
 
7.4%
구 8591
 
6.6%
서 8567
 
6.5%
시 8495
 
6.5%
울 8491
 
6.5%
번 8484
 
6.5%
별 8469
 
6.5%
특 8468
 
6.5%
Other values (268) 40622
31.0%
Lowercase Letter
ValueCountFrequency (%)
b 5
14.7%
w 4
11.8%
d 3
8.8%
a 3
8.8%
o 3
8.8%
h 3
8.8%
r 2
 
5.9%
t 2
 
5.9%
p 2
 
5.9%
s 1
 
2.9%
Other values (6) 6
17.6%
Uppercase Letter
ValueCountFrequency (%)
B 147
72.8%
D 26
 
12.9%
A 9
 
4.5%
M 4
 
2.0%
G 3
 
1.5%
C 3
 
1.5%
Y 2
 
1.0%
L 2
 
1.0%
S 2
 
1.0%
O 2
 
1.0%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 12019
31.7%
2 6372
16.8%
3 3316
 
8.7%
4 3198
 
8.4%
0 3027
 
8.0%
5 2617
 
6.9%
6 2130
 
5.6%
8 1800
 
4.7%
7 1766
 
4.7%
9 1666
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 845
88.3%
. 94
 
9.8%
/ 13
 
1.4%
@ 2
 
0.2%
? 2
 
0.2%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
58217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 788
100.0%
Open Punctuation
ValueCountFrequency (%)
( 784
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 771
100.0%
Math Symbol
ValueCountFrequency (%)
~ 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130895
56.8%
Common 99499
43.1%
Latin 236
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 11091
 
8.5%
로 9881
 
7.5%
종 9736
 
7.4%
구 8591
 
6.6%
서 8567
 
6.5%
시 8495
 
6.5%
울 8491
 
6.5%
번 8484
 
6.5%
별 8469
 
6.5%
특 8468
 
6.5%
Other values (268) 40622
31.0%
Latin
ValueCountFrequency (%)
B 147
62.3%
D 26
 
11.0%
A 9
 
3.8%
b 5
 
2.1%
w 4
 
1.7%
M 4
 
1.7%
G 3
 
1.3%
d 3
 
1.3%
a 3
 
1.3%
C 3
 
1.3%
Other values (18) 29
 
12.3%
Common
ValueCountFrequency (%)
58217
58.5%
1 12019
 
12.1%
2 6372
 
6.4%
3 3316
 
3.3%
4 3198
 
3.2%
0 3027
 
3.0%
5 2617
 
2.6%
6 2130
 
2.1%
8 1800
 
1.8%
7 1766
 
1.8%
Other values (11) 5037
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130895
56.8%
ASCII 99735
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58217
58.4%
1 12019
 
12.1%
2 6372
 
6.4%
3 3316
 
3.3%
4 3198
 
3.2%
0 3027
 
3.0%
5 2617
 
2.6%
6 2130
 
2.1%
8 1800
 
1.8%
7 1766
 
1.8%
Other values (39) 5273
 
5.3%
Hangul
ValueCountFrequency (%)
지 11091
 
8.5%
로 9881
 
7.5%
종 9736
 
7.4%
구 8591
 
6.6%
서 8567
 
6.5%
시 8495
 
6.5%
울 8491
 
6.5%
번 8484
 
6.5%
별 8469
 
6.5%
특 8468
 
6.5%
Other values (268) 40622
31.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2746
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121133
Minimum20001122
Maximum20240305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:09:59.169101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001122
5-th percentile20030310
Q120070821
median20121068
Q320161214
95-th percentile20211027
Maximum20240305
Range239183
Interquartile range (IQR)90393

Descriptive statistics

Standard deviation58422.254
Coefficient of variation (CV)0.002903527
Kurtosis-0.92437334
Mean20121133
Median Absolute Deviation (MAD)49644
Skewness0.019860851
Sum1.7066745 × 1011
Variance3.4131597 × 109
MonotonicityNot monotonic
2024-05-04T05:09:59.641448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150813 61
 
0.7%
20150123 49
 
0.6%
20130924 47
 
0.6%
20150817 45
 
0.5%
20060920 44
 
0.5%
20100826 42
 
0.5%
20131014 34
 
0.4%
20050727 32
 
0.4%
20171121 32
 
0.4%
20060222 31
 
0.4%
Other values (2736) 8065
95.1%
ValueCountFrequency (%)
20001122 1
< 0.1%
20001125 1
< 0.1%
20001130 1
< 0.1%
20001213 1
< 0.1%
20001219 2
< 0.1%
20001230 1
< 0.1%
20010125 1
< 0.1%
20010218 1
< 0.1%
20010220 1
< 0.1%
20010223 2
< 0.1%
ValueCountFrequency (%)
20240305 2
< 0.1%
20240227 1
 
< 0.1%
20240220 1
 
< 0.1%
20240206 1
 
< 0.1%
20240130 1
 
< 0.1%
20240129 4
< 0.1%
20240123 1
 
< 0.1%
20240122 1
 
< 0.1%
20240119 1
 
< 0.1%
20240118 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
처분확정
8482 

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 8482
100.0%

Length

2024-05-04T05:10:00.124776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T05:10:00.474413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 8482
100.0%

처분명
Text

Distinct1327
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-04T05:10:01.317447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length73
Mean length9.3914171
Min length2

Characters and Unicode

Total characters79658
Distinct characters254
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique788 ?
Unique (%)9.3%

Sample

1st row개선명령
2nd row영업정지
3rd row영업정지2개월(위반일 : 2023.06.28./ 07.15/ 09.16/10.13.) (영업정지: 2024.04.17.~2024.06.15.)
4th row영업소폐쇄(2024.04.02.)
5th row영업소폐쇄(2024.04.19.)
ValueCountFrequency (%)
시정명령 1871
 
14.4%
과태료부과 1576
 
12.1%
영업정지 1184
 
9.1%
영업소폐쇄 886
 
6.8%
과징금 432
 
3.3%
갈음하는 396
 
3.0%
과태료 346
 
2.7%
시설개수명령 241
 
1.9%
과징금부과 234
 
1.8%
부과 185
 
1.4%
Other values (1441) 5676
43.6%
2024-05-04T05:10:02.925888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6137
 
7.7%
0 5924
 
7.4%
4607
 
5.8%
정 4187
 
5.3%
업 3117
 
3.9%
영 3024
 
3.8%
부 2759
 
3.5%
2 2683
 
3.4%
시 2636
 
3.3%
명 2519
 
3.2%
Other values (244) 42065
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52881
66.4%
Decimal Number 16020
 
20.1%
Space Separator 4607
 
5.8%
Other Punctuation 3390
 
4.3%
Close Punctuation 1123
 
1.4%
Open Punctuation 1122
 
1.4%
Math Symbol 391
 
0.5%
Dash Punctuation 109
 
0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (218) 21177
40.0%
Decimal Number
ValueCountFrequency (%)
0 5924
37.0%
2 2683
16.7%
1 2311
 
14.4%
7 1008
 
6.3%
5 839
 
5.2%
3 831
 
5.2%
4 719
 
4.5%
8 668
 
4.2%
6 565
 
3.5%
9 472
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2197
64.8%
, 1093
32.2%
/ 47
 
1.4%
: 37
 
1.1%
% 13
 
0.4%
？ 2
 
0.1%
． 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1106
98.5%
] 17
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 1105
98.5%
[ 17
 
1.5%
Math Symbol
ValueCountFrequency (%)
~ 376
96.2%
= 15
 
3.8%
Space Separator
ValueCountFrequency (%)
4607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52881
66.4%
Common 26762
33.6%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (218) 21177
40.0%
Common
ValueCountFrequency (%)
0 5924
22.1%
4607
17.2%
2 2683
10.0%
1 2311
 
8.6%
. 2197
 
8.2%
) 1106
 
4.1%
( 1105
 
4.1%
, 1093
 
4.1%
7 1008
 
3.8%
5 839
 
3.1%
Other values (15) 3889
14.5%
Latin
ValueCountFrequency (%)
x 15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52826
66.3%
ASCII 26774
33.6%
Compat Jamo 55
 
0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (216) 21122
40.0%
ASCII
ValueCountFrequency (%)
0 5924
22.1%
4607
17.2%
2 2683
10.0%
1 2311
 
8.6%
. 2197
 
8.2%
) 1106
 
4.1%
( 1105
 
4.1%
, 1093
 
4.1%
7 1008
 
3.8%
5 839
 
3.1%
Other values (14) 3901
14.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 54
98.2%
ㅁ 1
 
1.8%
None
ValueCountFrequency (%)
？ 2
66.7%
． 1
33.3%

법적근거
Text

Distinct840
Distinct (%)9.9%
Missing32
Missing (%)0.4%
Memory size66.4 KiB
2024-05-04T05:10:03.723796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length13.354201
Min length2

Characters and Unicode

Total characters112843
Distinct characters187
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)4.9%

Sample

1st row법 제11조제1항제4호
2nd row법 제11조제1항제4호
3rd row법 제71조 및 법 제75조
4th row법 제71조, 법 제74조 및 법 제75조
5th row법 제71조 및 법 제75조
ValueCountFrequency (%)
법 4538
19.4%
식품위생법 2982
 
12.8%
및 1976
 
8.5%
제75조 1571
 
6.7%
제71조 1395
 
6.0%
제74조 885
 
3.8%
식품위생법제31조 462
 
2.0%
제31조 369
 
1.6%
제21조 365
 
1.6%
제37조 325
 
1.4%
Other values (698) 8471
36.3%
2024-05-04T05:10:05.258309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15003
13.3%
제 12596
11.2%
조 12106
10.7%
법 11063
9.8%
1 6704
 
5.9%
7 6100
 
5.4%
위 5764
 
5.1%
생 5558
 
4.9%
식 5300
 
4.7%
품 5295
 
4.7%
Other values (177) 27354
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68507
60.7%
Decimal Number 26870
 
23.8%
Space Separator 15003
 
13.3%
Other Punctuation 1806
 
1.6%
Close Punctuation 326
 
0.3%
Open Punctuation 314
 
0.3%
Letter Number 9
 
< 0.1%
Uppercase Letter 7
 
< 0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 12596
18.4%
조 12106
17.7%
법 11063
16.1%
위 5764
8.4%
생 5558
8.1%
식 5300
7.7%
품 5295
7.7%
및 2086
 
3.0%
항 1520
 
2.2%
호 542
 
0.8%
Other values (155) 6677
9.7%
Decimal Number
ValueCountFrequency (%)
1 6704
24.9%
7 6100
22.7%
4 3036
11.3%
3 2822
10.5%
2 2404
 
8.9%
5 2356
 
8.8%
0 1434
 
5.3%
6 1314
 
4.9%
8 585
 
2.2%
9 115
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 1734
96.0%
. 67
 
3.7%
? 4
 
0.2%
: 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 318
97.5%
】 8
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 306
97.5%
【 8
 
2.5%
Space Separator
ValueCountFrequency (%)
15003
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 7
100.0%
Other Number
ValueCountFrequency (%)
① 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68507
60.7%
Common 44320
39.3%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 12596
18.4%
조 12106
17.7%
법 11063
16.1%
위 5764
8.4%
생 5558
8.1%
식 5300
7.7%
품 5295
7.7%
및 2086
 
3.0%
항 1520
 
2.2%
호 542
 
0.8%
Other values (155) 6677
9.7%
Common
ValueCountFrequency (%)
15003
33.9%
1 6704
15.1%
7 6100
13.8%
4 3036
 
6.9%
3 2822
 
6.4%
2 2404
 
5.4%
5 2356
 
5.3%
, 1734
 
3.9%
0 1434
 
3.2%
6 1314
 
3.0%
Other values (10) 1413
 
3.2%
Latin
ValueCountFrequency (%)
Ⅱ 9
56.2%
I 7
43.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68504
60.7%
ASCII 44310
39.3%
None 16
 
< 0.1%
Number Forms 9
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15003
33.9%
1 6704
15.1%
7 6100
13.8%
4 3036
 
6.9%
3 2822
 
6.4%
2 2404
 
5.4%
5 2356
 
5.3%
, 1734
 
3.9%
0 1434
 
3.2%
6 1314
 
3.0%
Other values (8) 1403
 
3.2%
Hangul
ValueCountFrequency (%)
제 12596
18.4%
조 12106
17.7%
법 11063
16.1%
위 5764
8.4%
생 5558
8.1%
식 5300
7.7%
품 5295
7.7%
및 2086
 
3.0%
항 1520
 
2.2%
호 542
 
0.8%
Other values (152) 6674
9.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
None
ValueCountFrequency (%)
】 8
50.0%
【 8
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
33.3%
ㄱ 1
33.3%
ㅅ 1
33.3%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2909
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120957
Minimum20001125
Maximum22040902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:10:05.726969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001125
5-th percentile20030315
Q120070813
median20120918
Q320161207
95-th percentile20211097
Maximum22040902
Range2039777
Interquartile range (IQR)90393.75

Descriptive statistics

Standard deviation61978.812
Coefficient of variation (CV)0.0030803112
Kurtosis107.29264
Mean20120957
Median Absolute Deviation (MAD)49701.5
Skewness3.5196934
Sum1.7066596 × 1011
Variance3.8413731 × 109
MonotonicityNot monotonic
2024-05-04T05:10:06.196939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130822 85
 
1.0%
20141231 55
 
0.6%
20150123 50
 
0.6%
20100826 42
 
0.5%
20180101 40
 
0.5%
20130909 39
 
0.5%
20160405 39
 
0.5%
20171018 34
 
0.4%
20050727 32
 
0.4%
20060222 31
 
0.4%
Other values (2899) 8035
94.7%
ValueCountFrequency (%)
20001125 1
< 0.1%
20001130 1
< 0.1%
20001213 1
< 0.1%
20001219 2
< 0.1%
20001230 1
< 0.1%
20010103 1
< 0.1%
20010120 1
< 0.1%
20010125 1
< 0.1%
20010218 1
< 0.1%
20010223 1
< 0.1%
ValueCountFrequency (%)
22040902 1
 
< 0.1%
20300501 1
 
< 0.1%
20240305 2
< 0.1%
20240227 1
 
< 0.1%
20240220 1
 
< 0.1%
20240206 1
 
< 0.1%
20240130 1
 
< 0.1%
20240129 4
< 0.1%
20240123 1
 
< 0.1%
20240122 1
 
< 0.1%

위반내용
Text

Distinct2483
Distinct (%)29.3%
Missing1
Missing (%)< 0.1%
Memory size66.4 KiB
2024-05-04T05:10:06.911361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length295
Median length152
Mean length13.687419
Min length1

Characters and Unicode

Total characters116083
Distinct characters602
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1488 ?
Unique (%)17.5%

Sample

1st row공중위생관리법 제4조(공중위생영업자의 위생관리 의무등) 위반 공중위생관리법 시행규칙 제11조제1항제4호 및 제19조 [별표7]【Ⅱ. 개별기준 1. 숙박업 라. 1).】
2nd row공중위생영업자가 준수해야하는 위생관리기준 등을 위반한 경우 -목욕실 등의 청결을 유지하지 않은 경우
3rd row손님 노래부르기 허용
4th row영업시설의 전부철거(시설없이 영업신고를 한 경우 포함)에 따른 영업소 폐쇄
5th row일반음식영업자가 음향 및 반주시설을 갖추고 손님의 노래부르기 허용(3차)
ValueCountFrequency (%)
영업장 1055
 
4.8%
영업 398
 
1.8%
무단확장 337
 
1.5%
영업장외 329
 
1.5%
위생교육 311
 
1.4%
및 306
 
1.4%
외 302
 
1.4%
영업시설물 275
 
1.2%
무단확장(1차 271
 
1.2%
미이수 270
 
1.2%
Other values (3307) 18252
82.6%
2024-05-04T05:10:08.337951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14114
 
12.2%
업 6247
 
5.4%
영 4907
 
4.2%
장 3881
 
3.3%
미 3095
 
2.7%
1 3036
 
2.6%
) 3034
 
2.6%
( 2993
 
2.6%
단 2506
 
2.2%
차 1975
 
1.7%
Other values (592) 70295
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86831
74.8%
Space Separator 14114
 
12.2%
Decimal Number 7219
 
6.2%
Close Punctuation 3057
 
2.6%
Open Punctuation 3016
 
2.6%
Other Punctuation 1540
 
1.3%
Dash Punctuation 122
 
0.1%
Uppercase Letter 86
 
0.1%
Lowercase Letter 43
 
< 0.1%
Letter Number 19
 
< 0.1%
Other values (5) 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6247
 
7.2%
영 4907
 
5.7%
장 3881
 
4.5%
미 3095
 
3.6%
단 2506
 
2.9%
차 1975
 
2.3%
위 1848
 
2.1%
시 1597
 
1.8%
무 1450
 
1.7%
건 1408
 
1.6%
Other values (527) 57917
66.7%
Uppercase Letter
ValueCountFrequency (%)
I 16
18.6%
O 12
14.0%
D 12
14.0%
S 8
9.3%
A 8
9.3%
L 8
9.3%
T 4
 
4.7%
C 4
 
4.7%
F 4
 
4.7%
M 4
 
4.7%
Other values (3) 6
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
g 13
30.2%
a 5
 
11.6%
i 4
 
9.3%
t 4
 
9.3%
e 4
 
9.3%
b 3
 
7.0%
l 3
 
7.0%
k 2
 
4.7%
w 2
 
4.7%
n 1
 
2.3%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 3036
42.1%
2 1588
22.0%
0 887
 
12.3%
3 439
 
6.1%
4 409
 
5.7%
5 248
 
3.4%
6 196
 
2.7%
7 151
 
2.1%
8 134
 
1.9%
9 131
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 707
45.9%
. 419
27.2%
, 277
 
18.0%
: 85
 
5.5%
? 38
 
2.5%
% 8
 
0.5%
* 5
 
0.3%
？ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3034
99.2%
] 12
 
0.4%
」 9
 
0.3%
』 1
 
< 0.1%
】 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2993
99.2%
[ 12
 
0.4%
「 9
 
0.3%
『 1
 
< 0.1%
【 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
84.6%
+ 1
 
7.7%
± 1
 
7.7%
Other Symbol
ValueCountFrequency (%)
㎡ 5
50.0%
○ 4
40.0%
┛ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
14114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86829
74.8%
Common 29104
 
25.1%
Latin 148
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6247
 
7.2%
영 4907
 
5.7%
장 3881
 
4.5%
미 3095
 
3.6%
단 2506
 
2.9%
차 1975
 
2.3%
위 1848
 
2.1%
시 1597
 
1.8%
무 1450
 
1.7%
건 1408
 
1.6%
Other values (525) 57915
66.7%
Common
ValueCountFrequency (%)
14114
48.5%
1 3036
 
10.4%
) 3034
 
10.4%
( 2993
 
10.3%
2 1588
 
5.5%
0 887
 
3.0%
/ 707
 
2.4%
3 439
 
1.5%
. 419
 
1.4%
4 409
 
1.4%
Other values (29) 1478
 
5.1%
Latin
ValueCountFrequency (%)
Ⅱ 19
12.8%
I 16
 
10.8%
g 13
 
8.8%
O 12
 
8.1%
D 12
 
8.1%
S 8
 
5.4%
A 8
 
5.4%
L 8
 
5.4%
a 5
 
3.4%
i 4
 
2.7%
Other values (16) 43
29.1%
Han
ValueCountFrequency (%)
河 1
50.0%
囹 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86824
74.8%
ASCII 29197
 
25.2%
None 24
 
< 0.1%
Number Forms 19
 
< 0.1%
CJK Compat 5
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14114
48.3%
1 3036
 
10.4%
) 3034
 
10.4%
( 2993
 
10.3%
2 1588
 
5.4%
0 887
 
3.0%
/ 707
 
2.4%
3 439
 
1.5%
. 419
 
1.4%
4 409
 
1.4%
Other values (41) 1571
 
5.4%
Hangul
ValueCountFrequency (%)
업 6247
 
7.2%
영 4907
 
5.7%
장 3881
 
4.5%
미 3095
 
3.6%
단 2506
 
2.9%
차 1975
 
2.3%
위 1848
 
2.1%
시 1597
 
1.8%
무 1450
 
1.7%
건 1408
 
1.6%
Other values (523) 57910
66.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 19
100.0%
None
ValueCountFrequency (%)
「 9
37.5%
」 9
37.5%
？ 1
 
4.2%
』 1
 
4.2%
『 1
 
4.2%
】 1
 
4.2%
【 1
 
4.2%
± 1
 
4.2%
CJK Compat
ValueCountFrequency (%)
㎡ 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
80.0%
ㅖ 1
 
20.0%
Geometric Shapes
ValueCountFrequency (%)
○ 4
100.0%
CJK
ValueCountFrequency (%)
河 1
50.0%
囹 1
50.0%
Box Drawing
ValueCountFrequency (%)
┛ 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

처분내용
Text

Distinct1327
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-04T05:10:09.075563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length73
Mean length9.3914171
Min length2

Characters and Unicode

Total characters79658
Distinct characters254
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique788 ?
Unique (%)9.3%

Sample

1st row개선명령
2nd row영업정지
3rd row영업정지2개월(위반일 : 2023.06.28./ 07.15/ 09.16/10.13.) (영업정지: 2024.04.17.~2024.06.15.)
4th row영업소폐쇄(2024.04.02.)
5th row영업소폐쇄(2024.04.19.)
ValueCountFrequency (%)
시정명령 1871
 
14.4%
과태료부과 1576
 
12.1%
영업정지 1184
 
9.1%
영업소폐쇄 886
 
6.8%
과징금 432
 
3.3%
갈음하는 396
 
3.0%
과태료 346
 
2.7%
시설개수명령 241
 
1.9%
과징금부과 234
 
1.8%
부과 185
 
1.4%
Other values (1441) 5676
43.6%
2024-05-04T05:10:10.614717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6137
 
7.7%
0 5924
 
7.4%
4607
 
5.8%
정 4187
 
5.3%
업 3117
 
3.9%
영 3024
 
3.8%
부 2759
 
3.5%
2 2683
 
3.4%
시 2636
 
3.3%
명 2519
 
3.2%
Other values (244) 42065
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52881
66.4%
Decimal Number 16020
 
20.1%
Space Separator 4607
 
5.8%
Other Punctuation 3390
 
4.3%
Close Punctuation 1123
 
1.4%
Open Punctuation 1122
 
1.4%
Math Symbol 391
 
0.5%
Dash Punctuation 109
 
0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (218) 21177
40.0%
Decimal Number
ValueCountFrequency (%)
0 5924
37.0%
2 2683
16.7%
1 2311
 
14.4%
7 1008
 
6.3%
5 839
 
5.2%
3 831
 
5.2%
4 719
 
4.5%
8 668
 
4.2%
6 565
 
3.5%
9 472
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2197
64.8%
, 1093
32.2%
/ 47
 
1.4%
: 37
 
1.1%
% 13
 
0.4%
？ 2
 
0.1%
． 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1106
98.5%
] 17
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 1105
98.5%
[ 17
 
1.5%
Math Symbol
ValueCountFrequency (%)
~ 376
96.2%
= 15
 
3.8%
Space Separator
ValueCountFrequency (%)
4607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52881
66.4%
Common 26762
33.6%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (218) 21177
40.0%
Common
ValueCountFrequency (%)
0 5924
22.1%
4607
17.2%
2 2683
10.0%
1 2311
 
8.6%
. 2197
 
8.2%
) 1106
 
4.1%
( 1105
 
4.1%
, 1093
 
4.1%
7 1008
 
3.8%
5 839
 
3.1%
Other values (15) 3889
14.5%
Latin
ValueCountFrequency (%)
x 15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52826
66.3%
ASCII 26774
33.6%
Compat Jamo 55
 
0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6137
 
11.6%
정 4187
 
7.9%
업 3117
 
5.9%
영 3024
 
5.7%
부 2759
 
5.2%
시 2636
 
5.0%
명 2519
 
4.8%
령 2487
 
4.7%
료 2435
 
4.6%
태 2403
 
4.5%
Other values (216) 21122
40.0%
ASCII
ValueCountFrequency (%)
0 5924
22.1%
4607
17.2%
2 2683
10.0%
1 2311
 
8.6%
. 2197
 
8.2%
) 1106
 
4.1%
( 1105
 
4.1%
, 1093
 
4.1%
7 1008
 
3.8%
5 839
 
3.1%
Other values (14) 3901
14.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 54
98.2%
ㅁ 1
 
1.8%
None
ValueCountFrequency (%)
？ 2
66.7%
． 1
33.3%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)2.2%
Missing6768
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean7.8885648
Minimum0
Maximum122
Zeros621
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:10:11.503969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q315
95-th percentile20
Maximum122
Range122
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.702355
Coefficient of variation (CV)1.3566923
Kurtosis29.074776
Mean7.8885648
Median Absolute Deviation (MAD)7
Skewness4.2519484
Sum13521
Variance114.54041
MonotonicityNot monotonic
2024-05-04T05:10:11.989045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 621
 
7.3%
7 555
 
6.5%
15 324
 
3.8%
10 37
 
0.4%
5 25
 
0.3%
30 23
 
0.3%
18 10
 
0.1%
22 9
 
0.1%
16 8
 
0.1%
20 8
 
0.1%
Other values (27) 94
 
1.1%
(Missing) 6768
79.8%
ValueCountFrequency (%)
0 621
7.3%
2 6
 
0.1%
3 5
 
0.1%
4 3
 
< 0.1%
5 25
 
0.3%
6 2
 
< 0.1%
7 555
6.5%
8 7
 
0.1%
9 2
 
< 0.1%
10 37
 
0.4%
ValueCountFrequency (%)
122 1
 
< 0.1%
97 2
 
< 0.1%
92 6
0.1%
62 1
 
< 0.1%
61 7
0.1%
60 1
 
< 0.1%
59 4
< 0.1%
57 1
 
< 0.1%
45 1
 
< 0.1%
37 3
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2289
Distinct (%)46.4%
Missing3546
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean141.99355
Minimum0
Maximum6979.56
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:10:12.639304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.255
Q142.66
median78.84
Q3142.11
95-th percentile426.07
Maximum6979.56
Range6979.56
Interquartile range (IQR)99.45

Descriptive statistics

Standard deviation306.42148
Coefficient of variation (CV)2.1579957
Kurtosis181.57194
Mean141.99355
Median Absolute Deviation (MAD)42.64
Skewness11.152454
Sum700880.18
Variance93894.121
MonotonicityNot monotonic
2024-05-04T05:10:13.360732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
 
0.4%
98.04 28
 
0.3%
131.23 21
 
0.2%
296.76 20
 
0.2%
78.4 19
 
0.2%
114.86 18
 
0.2%
36.2 18
 
0.2%
60.13 18
 
0.2%
6.0 18
 
0.2%
75.0 17
 
0.2%
Other values (2279) 4722
55.7%
(Missing) 3546
41.8%
ValueCountFrequency (%)
0.0 37
0.4%
1.3 1
 
< 0.1%
2.36 1
 
< 0.1%
2.5 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 3
 
< 0.1%
3.85 1
 
< 0.1%
4.0 1
 
< 0.1%
6.0 18
0.2%
6.1 5
 
0.1%
ValueCountFrequency (%)
6979.56 2
 
< 0.1%
6309.22 1
 
< 0.1%
4771.22 1
 
< 0.1%
4517.7 2
 
< 0.1%
3739.93 1
 
< 0.1%
3027.26 1
 
< 0.1%
2768.5 1
 
< 0.1%
2758.16 2
 
< 0.1%
2680.52 3
< 0.1%
2556.61 6
0.1%

Interactions

2024-05-04T05:09:43.116271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:35.740884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:37.432594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:39.570457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:41.460979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:43.417920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:36.024863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:38.017768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:40.152766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:41.797412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:43.739835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:36.314884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:38.322405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:40.452637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:42.172362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:44.110583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:36.657765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:38.718538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:40.864688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:42.459800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:44.472217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:37.027750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:39.122448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:41.161759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T05:09:42.735577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T05:10:13.767804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4370.5260.9910.7490.2800.118
업종명0.4371.0000.9980.4170.2630.3960.414
업태명0.5260.9981.0000.5140.3180.5000.754
지도점검일자0.9910.4170.5141.0000.7530.2790.117
위반일자0.7490.2630.3180.7531.0000.0000.110
처분기간0.2800.3960.5000.2790.0001.0000.000
영업장면적(㎡)0.1180.4140.7540.1170.1100.0001.000
2024-05-04T05:10:14.146845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.9980.355-0.1250.169
지도점검일자0.9991.0000.9970.343-0.1250.160
위반일자0.9980.9971.0000.334-0.1270.135
처분기간0.3550.3430.3341.0000.0430.177
영업장면적(㎡)-0.125-0.125-0.1270.0431.0000.176
업종명0.1690.1600.1350.1770.1761.000

Missing values

2024-05-04T05:09:44.921896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T05:09:45.729305image/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.
2024-05-04T05:09:46.265859image/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(㎡)
03000000202404010138숙박업(일반)여관업테크노모텔서울특별시 종로구 돈화문로5길 28-3, (낙원동)서울특별시 종로구 낙원동 191번지20240305처분확정개선명령법 제11조제1항제4호20240305공중위생관리법 제4조(공중위생영업자의 위생관리 의무등) 위반 공중위생관리법 시행규칙 제11조제1항제4호 및 제19조 [별표7]【Ⅱ. 개별기준 1. 숙박업 라. 1).】개선명령<NA>209.42
13000000202404010036목욕장업공동탕업문화탕서울특별시 종로구 돈화문로5길 28-5, (낙원동)서울특별시 종로구 낙원동 190번지20240305처분확정영업정지법 제11조제1항제4호20240305공중위생영업자가 준수해야하는 위생관리기준 등을 위반한 경우 -목욕실 등의 청결을 유지하지 않은 경우영업정지10281.11
230000002024032620190025869일반음식점기타추억커피숍서울특별시 종로구 돈화문로5길 42, 경산빌딩 지하1층 (낙원동)서울특별시 종로구 낙원동 197번지 1호 경산빌딩20231013처분확정영업정지2개월(위반일 : 2023.06.28./ 07.15/ 09.16/10.13.) (영업정지: 2024.04.17.~2024.06.15.)법 제71조 및 법 제75조20231013손님 노래부르기 허용영업정지2개월(위반일 : 2023.06.28./ 07.15/ 09.16/10.13.) (영업정지: 2024.04.17.~2024.06.15.)<NA><NA>
330000002024032620230035588일반음식점기타알토서울특별시 종로구 인사동길 18, 1, 2층 일부호 (인사동)서울특별시 종로구 인사동 32번지 2호20240227처분확정영업소폐쇄(2024.04.02.)법 제71조, 법 제74조 및 법 제75조20240227영업시설의 전부철거(시설없이 영업신고를 한 경우 포함)에 따른 영업소 폐쇄영업소폐쇄(2024.04.02.)<NA><NA>
430000002024032620210025842일반음식점한식그리운 금강산서울특별시 종로구 돈화문로5길 42, 경산빌딩 2층 (낙원동)서울특별시 종로구 낙원동 197번지 1호 경산빌딩20230601처분확정영업소폐쇄(2024.04.19.)법 제71조 및 법 제75조20230601일반음식영업자가 음향 및 반주시설을 갖추고 손님의 노래부르기 허용(3차)영업소폐쇄(2024.04.19.)<NA><NA>
530000002024032620210025842일반음식점한식그리운 금강산서울특별시 종로구 돈화문로5길 42, 경산빌딩 2층 (낙원동)서울특별시 종로구 낙원동 197번지 1호 경산빌딩20230601처분확정영업소폐쇄(2024.04.19.)법 제71조 및 법 제75조20230601일반음식영업자가 음향 및 반주시설을 갖추고 손님의 노래부르기 허용(3차)영업소폐쇄(2024.04.19.)<NA>50.22
630000002024030720020025823일반음식점한식서촌 봉평막국수서울특별시 종로구 필운대로 6, (필운동,지상1층)서울특별시 종로구 필운동 144번지 1호 지상1층20240220처분확정영업소폐쇄법 제71조, 법 제74조 및 법 제75조20240220무단폐업영업소폐쇄<NA><NA>
730000002024030520210025858일반음식점기타월영당 서울서울특별시 종로구 북촌로5길 62, 1층 (소격동)서울특별시 종로구 소격동 122번지 3호 1층20240129처분확정시정명령법 제14조부터 제16조까지20240129식품의 원재료, 성분 등에 관하여 거짓?과장된 표시 또는 광고시정명령<NA>132.0
830000002024030520030025915일반음식점분식종로3가 장군굴보쌈서울특별시 종로구 수표로20길 22, (관수동,지상1층)서울특별시 종로구 관수동 40번지 지상1층20240130처분확정시정명령법 제71조, 법 제74조 및 법 제75조20240130영업장 무단확장시정명령<NA><NA>
930000002024030520210025858일반음식점기타월영당 서울서울특별시 종로구 북촌로5길 62, 1층 (소격동)서울특별시 종로구 소격동 122번지 3호 1층20240129처분확정시정명령법 제14조부터 제16조까지20240129식품의 원재료, 성분 등에 관하여 거짓?과장된 표시 또는 광고시정명령<NA>122.0
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
847230000002001040620020025151일반음식점한식피카디리<NA>서울특별시 종로구 명륜3가 134번지 2호20010223처분확정영업정지식품위생법 58조20010406청소년주류제공 위반1차영업정지<NA><NA>
847330000002001031419990025310일반음식점분식독신<NA>서울특별시 종로구 명륜4가 196번지 11호20010220처분확정영업정지식품위생법 58조20010120청소년주류제공 위반1차영업정지<NA><NA>
847430000002001030719930025887일반음식점한식산촌<NA>서울특별시 종로구 혜화동 184번지 0호20010125처분확정영업정지식품위생법 58조20010125청소년주류제공 위반1차영업정지<NA>50.46
847530000002001021319910025127일반음식점분식바다호프<NA>서울특별시 종로구 명륜4가 41번지 1호 ,9호20001230처분확정영업정지식품위생법 58조20001230청소년주류제공 위반1차영업정지<NA>57.32
847630000002001020719980025047일반음식점분식옛골<NA>서울특별시 종로구 명륜4가 176번지 2호 179-120001219처분확정영업정지식품위생법58조20001219청소년주류판매2차영업정지<NA>93.8
847730000002001012919970025223일반음식점분식어쭈구리<NA>서울특별시 종로구 종로5가 88번지 4호 88-5, 88-620001213처분확정영업정지식품위생법 58조20001213청소년주류제공 위반1차영업정지<NA>71.75
847830000002001011819950025591일반음식점한식사대천왕<NA>서울특별시 종로구 인사동 87번지 0호20001219처분확정영업정지식품위생법58조20001219청소년주류제공위반1차영업정지<NA>95.04
847930000002001010819990026358일반음식점한식나무미<NA>서울특별시 종로구 숭인동 1245번지 0호20001130처분확정영업정지식품위생법 58조20001130청소년주류제공 위반1차영업정지<NA>76.47
848030000002001010319960025531일반음식점경양식지오<NA>서울특별시 종로구 명륜2가 113번지 0호20001122처분확정영업정지식품위생법 58조20010103청소년주류제공 위반1차영업정지<NA>42.56
848130000002001010319850025211일반음식점한식마포집<NA>서울특별시 종로구 숭인동 1414번지 0호20001125처분확정영업정지식품위생법 58조20001125청소년주류제공 위반1차영업정지<NA>31.35

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
37130000002019070220180025886일반음식점한식청계천휴서울특별시 종로구 청계천로 71, 계원빌딩 1층 (관철동)서울특별시 종로구 관철동 32번지 4호 계원빌딩20190520처분확정시정명령법 제71조, 법 제74조 및 법 제75조20190712영업장외 영업시정명령<NA>296.766
37830000002019110820180025886일반음식점한식청계천휴서울특별시 종로구 청계천로 71, 계원빌딩 1층 (관철동)서울특별시 종로구 관철동 32번지 4호 계원빌딩20190520처분확정과징금부과법 제71조, 법 제74조 및 법 제75조20190712영업장외 영업과징금부과10296.766
40630000002021070520170025515일반음식점한식익선동 고기집서울특별시 종로구 수표로28길 47, 1층 (익선동)서울특별시 종로구 익선동 160번지 2호 1층20210521처분확정영업정지 7일법 제71조, 법 제74조 및 법 제75조20210521영업장외 영업(2차)영업정지 7일752.896
40730000002021070520170025515일반음식점한식익선동 고기집서울특별시 종로구 수표로28길 47, 1층 (익선동)서울특별시 종로구 익선동 160번지 2호 1층20210521처분확정영업정지 7일법 제71조, 법 제74조 및 법 제75조20210521영업장외 영업(2차)영업정지 7일7<NA>6
11530000002005112120050025074일반음식점기타면공방<NA>서울특별시 종로구 관철동 13번지 9호 지상1층20051012처분확정시설개수식품위생법 제21조20051012영업장을 무단으로 확장하는 등(1차)시설개수0<NA>4
11730000002005112120050025074일반음식점기타면공방<NA>서울특별시 종로구 관철동 13번지 9호 지상1층20051012처분확정영업정지 7일 갈음하는 과징금 1,960,000원식품위생법 제21조20051012영업장을 무단으로 확장하는 등(1차)영업정지 7일 갈음하는 과징금 1,960,000원0<NA>4
26530000002011020920020025859즉석판매제조가공업즉석판매제조가공업차향기<NA>서울특별시 종로구 공평동 120번지 2호20101223처분확정영업소폐쇄식품위생법20101223영업시설물 멸실영업소폐쇄<NA><NA>4
29130000002013041920080025569식품등 수입판매업식품등 수입판매업씨엔케이(C&K)서울특별시 종로구 팔판길 38, (팔판동,3층 일부)서울특별시 종로구 팔판동 19번지 3층 일부20130422처분확정영업소폐쇄식품위생법제37조위반20130403사업자등록폐업에따른 직권폐업영업소폐쇄<NA><NA>4
36330000002017112320010025251일반음식점한식종로섬마을서울특별시 종로구 종로35길 13, 1층 (효제동)서울특별시 종로구 효제동 231번지20171025처분확정시정명령식품위생법제37조제4항20171025영업장무단확장(1차)시정명령<NA><NA>4
39430000002020110220180025886일반음식점한식청계천휴서울특별시 종로구 청계천로 71, 계원빌딩 1층 (관철동)서울특별시 종로구 관철동 32번지 4호 계원빌딩20201027처분확정과태료부과법 제101조제2항제1호 및 영 제67조20201027조리종사자 위생모 미착용과태료부과<NA>296.764