Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells21350
Missing cells (%)12.6%
Duplicate rows258
Duplicate rows (%)2.6%
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(㎡)
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-9917/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 258 (2.6%) 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 (62.1%)Imbalance
소재지도로명 has 7173 (71.7%) missing valuesMissing
법적근거 has 4279 (42.8%) missing valuesMissing
처분기간 has 6365 (63.6%) missing valuesMissing
영업장면적(㎡) has 3449 (34.5%) missing valuesMissing
위반일자 is highly skewed (γ1 = -45.33225709)Skewed
처분기간 has 1389 (13.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:40:41.650283
Analysis finished2024-05-11 05:41:01.463376
Duration19.81 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
3040000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 10000
100.0%

Length

2024-05-11T05:41:01.692463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:02.096223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2255
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20060537
Minimum19880414
Maximum20240417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:41:02.566901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880414
5-th percentile19941001
Q119971002
median20041102
Q320131101
95-th percentile20230405
Maximum20240417
Range360003
Interquartile range (IQR)160099

Descriptive statistics

Standard deviation94391.151
Coefficient of variation (CV)0.0047053152
Kurtosis-1.113853
Mean20060537
Median Absolute Deviation (MAD)70789
Skewness0.43649884
Sum2.0060537 × 1011
Variance8.9096893 × 109
MonotonicityNot monotonic
2024-05-11T05:41:03.138701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20231122 318
 
3.2%
20000811 203
 
2.0%
20220228 107
 
1.1%
20071228 98
 
1.0%
20131218 67
 
0.7%
20000930 61
 
0.6%
20230314 59
 
0.6%
19940514 54
 
0.5%
19950704 50
 
0.5%
20140109 48
 
0.5%
Other values (2245) 8935
89.3%
ValueCountFrequency (%)
19880414 1
< 0.1%
19900710 1
< 0.1%
19910401 1
< 0.1%
19920129 1
< 0.1%
19920212 2
< 0.1%
19920309 1
< 0.1%
19920504 2
< 0.1%
19920512 2
< 0.1%
19920526 1
< 0.1%
19920530 1
< 0.1%
ValueCountFrequency (%)
20240417 1
< 0.1%
20240409 1
< 0.1%
20240404 1
< 0.1%
20240401 1
< 0.1%
20240325 1
< 0.1%
20240307 1
< 0.1%
20240306 1
< 0.1%
20240223 2
< 0.1%
20240220 1
< 0.1%
20240219 2
< 0.1%

교부번호
Text

Distinct5291
Distinct (%)53.0%
Missing18
Missing (%)0.2%
Memory size156.2 KiB
2024-05-11T05:41:03.849758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.729213
Min length1

Characters and Unicode

Total characters107099
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

Unique3279 ?
Unique (%)32.8%

Sample

1st row19810039147
2nd row19820039037
3rd row2013-032
4th row20090039912
5th row046
ValueCountFrequency (%)
19970039581 28
 
0.3%
20090039391 26
 
0.3%
19940039262 23
 
0.2%
20170039094 21
 
0.2%
19990040044 19
 
0.2%
19790039055 17
 
0.2%
19880039195 17
 
0.2%
19930039287 16
 
0.2%
20000039484 16
 
0.2%
20150036460 15
 
0.2%
Other values (5281) 9784
98.0%
2024-05-11T05:41:05.088263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30424
28.4%
9 23083
21.6%
3 13228
12.4%
1 11905
 
11.1%
2 7728
 
7.2%
8 4332
 
4.0%
4 4299
 
4.0%
5 4185
 
3.9%
6 4002
 
3.7%
7 3825
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107011
99.9%
Dash Punctuation 88
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30424
28.4%
9 23083
21.6%
3 13228
12.4%
1 11905
 
11.1%
2 7728
 
7.2%
8 4332
 
4.0%
4 4299
 
4.0%
5 4185
 
3.9%
6 4002
 
3.7%
7 3825
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107099
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30424
28.4%
9 23083
21.6%
3 13228
12.4%
1 11905
 
11.1%
2 7728
 
7.2%
8 4332
 
4.0%
4 4299
 
4.0%
5 4185
 
3.9%
6 4002
 
3.7%
7 3825
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107099
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30424
28.4%
9 23083
21.6%
3 13228
12.4%
1 11905
 
11.1%
2 7728
 
7.2%
8 4332
 
4.0%
4 4299
 
4.0%
5 4185
 
3.9%
6 4002
 
3.7%
7 3825
 
3.6%

업종명
Categorical

IMBALANCE 

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6794 
단란주점
1297 
휴게음식점
 
487
식품제조가공업
 
214
유흥주점영업
 
171
Other values (31)
1037 

Length

Max length16
Median length5
Mean length5.1329
Min length3

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row유흥주점영업
2nd row일반음식점
3rd row일반미용업
4th row일반음식점
5th row목욕장업

Common Values

ValueCountFrequency (%)
일반음식점 6794
67.9%
단란주점 1297
 
13.0%
휴게음식점 487
 
4.9%
식품제조가공업 214
 
2.1%
유흥주점영업 171
 
1.7%
즉석판매제조가공업 162
 
1.6%
제과점영업 103
 
1.0%
숙박업(일반) 95
 
0.9%
목욕장업 84
 
0.8%
건강기능식품일반판매업 79
 
0.8%
Other values (26) 514
 
5.1%

Length

2024-05-11T05:41:05.698106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6794
67.4%
단란주점 1297
 
12.9%
휴게음식점 487
 
4.8%
식품제조가공업 214
 
2.1%
유흥주점영업 171
 
1.7%
즉석판매제조가공업 162
 
1.6%
제과점영업 103
 
1.0%
숙박업(일반 95
 
0.9%
목욕장업 84
 
0.8%
건강기능식품일반판매업 79
 
0.8%
Other values (23) 595
 
5.9%

업태명
Text

Distinct77
Distinct (%)0.8%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T05:41:06.428257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.6940635
Min length2

Characters and Unicode

Total characters36900
Distinct characters155
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

Unique10 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row한식
3rd row일반미용업
4th row호프/통닭
5th row공동탕업+찜질시설서비스영업
ValueCountFrequency (%)
한식 1994
19.6%
호프/통닭 1360
13.4%
단란주점 1297
12.8%
경양식 1059
10.4%
분식 1046
10.3%
까페 297
 
2.9%
일식 263
 
2.6%
중국식 236
 
2.3%
기타 226
 
2.2%
식품제조가공업 214
 
2.1%
Other values (67) 2161
21.3%
2024-05-11T05:41:07.828466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5194
 
14.1%
한 1994
 
5.4%
점 1552
 
4.2%
/ 1528
 
4.1%
통 1498
 
4.1%
주 1405
 
3.8%
닭 1400
 
3.8%
호 1375
 
3.7%
프 1360
 
3.7%
단 1318
 
3.6%
Other values (145) 18276
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34860
94.5%
Other Punctuation 1538
 
4.2%
Space Separator 164
 
0.4%
Close Punctuation 150
 
0.4%
Open Punctuation 150
 
0.4%
Math Symbol 38
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5194
 
14.9%
한 1994
 
5.7%
점 1552
 
4.5%
통 1498
 
4.3%
주 1405
 
4.0%
닭 1400
 
4.0%
호 1375
 
3.9%
프 1360
 
3.9%
단 1318
 
3.8%
란 1297
 
3.7%
Other values (139) 16467
47.2%
Other Punctuation
ValueCountFrequency (%)
/ 1528
99.3%
, 10
 
0.7%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Math Symbol
ValueCountFrequency (%)
+ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34860
94.5%
Common 2040
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5194
 
14.9%
한 1994
 
5.7%
점 1552
 
4.5%
통 1498
 
4.3%
주 1405
 
4.0%
닭 1400
 
4.0%
호 1375
 
3.9%
프 1360
 
3.9%
단 1318
 
3.8%
란 1297
 
3.7%
Other values (139) 16467
47.2%
Common
ValueCountFrequency (%)
/ 1528
74.9%
164
 
8.0%
) 150
 
7.4%
( 150
 
7.4%
+ 38
 
1.9%
, 10
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34860
94.5%
ASCII 2040
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5194
 
14.9%
한 1994
 
5.7%
점 1552
 
4.5%
통 1498
 
4.3%
주 1405
 
4.0%
닭 1400
 
4.0%
호 1375
 
3.9%
프 1360
 
3.9%
단 1318
 
3.8%
란 1297
 
3.7%
Other values (139) 16467
47.2%
ASCII
ValueCountFrequency (%)
/ 1528
74.9%
164
 
8.0%
) 150
 
7.4%
( 150
 
7.4%
+ 38
 
1.9%
, 10
 
0.5%

업소명
Text

Distinct5067
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:41:08.720385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length5.03
Min length1

Characters and Unicode

Total characters50300
Distinct characters960
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

Unique3107 ?
Unique (%)31.1%

Sample

1st row설중매
2nd row실비식당
3rd row선헤어(Sun hair)
4th row라이브일번출구
5th row강변사우나24시
ValueCountFrequency (%)
주식회사 32
 
0.3%
호야초밥참치전문점 26
 
0.2%
건대점 23
 
0.2%
한강 23
 
0.2%
단란주점 22
 
0.2%
토크쇼 22
 
0.2%
사회적협동조합 21
 
0.2%
광진아이누리애 21
 
0.2%
주)갈릴리유통 21
 
0.2%
월드컵단란주점 20
 
0.2%
Other values (5264) 10312
97.8%
2024-05-11T05:41:10.184802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1348
 
2.7%
점 1284
 
2.6%
이 1171
 
2.3%
스 1018
 
2.0%
리 847
 
1.7%
란 749
 
1.5%
단 738
 
1.5%
식 738
 
1.5%
) 624
 
1.2%
( 623
 
1.2%
Other values (950) 41160
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46539
92.5%
Uppercase Letter 717
 
1.4%
Close Punctuation 624
 
1.2%
Open Punctuation 623
 
1.2%
Lowercase Letter 586
 
1.2%
Space Separator 547
 
1.1%
Decimal Number 532
 
1.1%
Other Punctuation 116
 
0.2%
Dash Punctuation 9
 
< 0.1%
Letter Number 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1348
 
2.9%
점 1284
 
2.8%
이 1171
 
2.5%
스 1018
 
2.2%
리 847
 
1.8%
란 749
 
1.6%
단 738
 
1.6%
식 738
 
1.6%
프 576
 
1.2%
호 558
 
1.2%
Other values (869) 37512
80.6%
Uppercase Letter
ValueCountFrequency (%)
A 69
 
9.6%
L 58
 
8.1%
B 55
 
7.7%
I 51
 
7.1%
C 47
 
6.6%
O 45
 
6.3%
S 41
 
5.7%
N 39
 
5.4%
E 39
 
5.4%
R 28
 
3.9%
Other values (16) 245
34.2%
Lowercase Letter
ValueCountFrequency (%)
e 79
13.5%
o 63
10.8%
a 60
 
10.2%
n 43
 
7.3%
l 40
 
6.8%
i 37
 
6.3%
c 32
 
5.5%
r 29
 
4.9%
s 24
 
4.1%
m 22
 
3.8%
Other values (15) 157
26.8%
Other Punctuation
ValueCountFrequency (%)
. 45
38.8%
& 27
23.3%
! 8
 
6.9%
? 8
 
6.9%
' 7
 
6.0%
？ 5
 
4.3%
; 4
 
3.4%
, 4
 
3.4%
: 2
 
1.7%
% 2
 
1.7%
Other values (3) 4
 
3.4%
Decimal Number
ValueCountFrequency (%)
2 123
23.1%
0 96
18.0%
1 65
12.2%
4 51
9.6%
5 48
 
9.0%
7 46
 
8.6%
3 33
 
6.2%
8 30
 
5.6%
9 26
 
4.9%
6 14
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 624
100.0%
Open Punctuation
ValueCountFrequency (%)
( 623
100.0%
Space Separator
ValueCountFrequency (%)
547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46510
92.5%
Common 2454
 
4.9%
Latin 1307
 
2.6%
Han 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1348
 
2.9%
점 1284
 
2.8%
이 1171
 
2.5%
스 1018
 
2.2%
리 847
 
1.8%
란 749
 
1.6%
단 738
 
1.6%
식 738
 
1.6%
프 576
 
1.2%
호 558
 
1.2%
Other values (856) 37483
80.6%
Latin
ValueCountFrequency (%)
e 79
 
6.0%
A 69
 
5.3%
o 63
 
4.8%
a 60
 
4.6%
L 58
 
4.4%
B 55
 
4.2%
I 51
 
3.9%
C 47
 
3.6%
O 45
 
3.4%
n 43
 
3.3%
Other values (42) 737
56.4%
Common
ValueCountFrequency (%)
) 624
25.4%
( 623
25.4%
547
22.3%
2 123
 
5.0%
0 96
 
3.9%
1 65
 
2.6%
4 51
 
2.1%
5 48
 
2.0%
7 46
 
1.9%
. 45
 
1.8%
Other values (19) 186
 
7.6%
Han
ValueCountFrequency (%)
土 9
31.0%
酒 4
13.8%
五 2
 
6.9%
集 2
 
6.9%
尹 2
 
6.9%
水 2
 
6.9%
門 2
 
6.9%
多 1
 
3.4%
食 1
 
3.4%
安 1
 
3.4%
Other values (3) 3
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46510
92.5%
ASCII 3750
 
7.5%
CJK 29
 
0.1%
None 7
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1348
 
2.9%
점 1284
 
2.8%
이 1171
 
2.5%
스 1018
 
2.2%
리 847
 
1.8%
란 749
 
1.6%
단 738
 
1.6%
식 738
 
1.6%
프 576
 
1.2%
호 558
 
1.2%
Other values (856) 37483
80.6%
ASCII
ValueCountFrequency (%)
) 624
16.6%
( 623
16.6%
547
 
14.6%
2 123
 
3.3%
0 96
 
2.6%
e 79
 
2.1%
A 69
 
1.8%
1 65
 
1.7%
o 63
 
1.7%
a 60
 
1.6%
Other values (67) 1401
37.4%
CJK
ValueCountFrequency (%)
土 9
31.0%
酒 4
13.8%
五 2
 
6.9%
集 2
 
6.9%
尹 2
 
6.9%
水 2
 
6.9%
門 2
 
6.9%
多 1
 
3.4%
食 1
 
3.4%
安 1
 
3.4%
Other values (3) 3
 
10.3%
None
ValueCountFrequency (%)
？ 5
71.4%
＃ 1
 
14.3%
₂ 1
 
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

소재지도로명
Text

MISSING 

Distinct1746
Distinct (%)61.8%
Missing7173
Missing (%)71.7%
Memory size156.2 KiB
2024-05-11T05:41:10.957585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length51
Mean length29.513619
Min length22

Characters and Unicode

Total characters83435
Distinct characters274
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

Unique1213 ?
Unique (%)42.9%

Sample

1st row서울특별시 광진구 동일로20길 119, 2층 (자양동)
2nd row서울특별시 광진구 동일로68길 9, (중곡동)
3rd row서울특별시 광진구 아차산로33길 40, (화양동)
4th row서울특별시 광진구 자양로13길 16, (자양동)
5th row서울특별시 광진구 동일로 166, 1층 (화양동)
ValueCountFrequency (%)
서울특별시 2827
 
17.4%
광진구 2827
 
17.4%
1층 751
 
4.6%
화양동 549
 
3.4%
구의동 545
 
3.4%
자양동 511
 
3.2%
중곡동 493
 
3.0%
아차산로 200
 
1.2%
면목로 175
 
1.1%
동일로22길 174
 
1.1%
Other values (1273) 7164
44.2%
2024-05-11T05:41:12.689750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13393
 
16.1%
동 3674
 
4.4%
구 3596
 
4.3%
, 3575
 
4.3%
1 3448
 
4.1%
광 3184
 
3.8%
( 3077
 
3.7%
) 3077
 
3.7%
진 2870
 
3.4%
시 2847
 
3.4%
Other values (264) 40694
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47186
56.6%
Space Separator 13393
 
16.1%
Decimal Number 12621
 
15.1%
Other Punctuation 3581
 
4.3%
Open Punctuation 3077
 
3.7%
Close Punctuation 3077
 
3.7%
Dash Punctuation 294
 
0.4%
Uppercase Letter 112
 
0.1%
Lowercase Letter 71
 
0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3674
 
7.8%
구 3596
 
7.6%
광 3184
 
6.7%
진 2870
 
6.1%
시 2847
 
6.0%
서 2842
 
6.0%
울 2836
 
6.0%
로 2833
 
6.0%
별 2831
 
6.0%
특 2827
 
6.0%
Other values (221) 16846
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 59
52.7%
A 13
 
11.6%
H 11
 
9.8%
P 11
 
9.8%
D 6
 
5.4%
S 2
 
1.8%
L 2
 
1.8%
F 1
 
0.9%
W 1
 
0.9%
J 1
 
0.9%
Other values (5) 5
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 3448
27.3%
2 2025
16.0%
3 1378
 
10.9%
5 942
 
7.5%
0 925
 
7.3%
4 908
 
7.2%
6 842
 
6.7%
8 783
 
6.2%
9 694
 
5.5%
7 676
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
i 23
32.4%
m 11
15.5%
e 11
15.5%
h 11
15.5%
l 11
15.5%
b 1
 
1.4%
k 1
 
1.4%
n 1
 
1.4%
t 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 3575
99.8%
/ 4
 
0.1%
& 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3077
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47186
56.6%
Common 36066
43.2%
Latin 183
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3674
 
7.8%
구 3596
 
7.6%
광 3184
 
6.7%
진 2870
 
6.1%
시 2847
 
6.0%
서 2842
 
6.0%
울 2836
 
6.0%
로 2833
 
6.0%
별 2831
 
6.0%
특 2827
 
6.0%
Other values (221) 16846
35.7%
Latin
ValueCountFrequency (%)
B 59
32.2%
i 23
 
12.6%
A 13
 
7.1%
m 11
 
6.0%
e 11
 
6.0%
H 11
 
6.0%
h 11
 
6.0%
l 11
 
6.0%
P 11
 
6.0%
D 6
 
3.3%
Other values (14) 16
 
8.7%
Common
ValueCountFrequency (%)
13393
37.1%
, 3575
 
9.9%
1 3448
 
9.6%
( 3077
 
8.5%
) 3077
 
8.5%
2 2025
 
5.6%
3 1378
 
3.8%
5 942
 
2.6%
0 925
 
2.6%
4 908
 
2.5%
Other values (9) 3318
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47186
56.6%
ASCII 36249
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13393
36.9%
, 3575
 
9.9%
1 3448
 
9.5%
( 3077
 
8.5%
) 3077
 
8.5%
2 2025
 
5.6%
3 1378
 
3.8%
5 942
 
2.6%
0 925
 
2.6%
4 908
 
2.5%
Other values (33) 3501
 
9.7%
Hangul
ValueCountFrequency (%)
동 3674
 
7.8%
구 3596
 
7.6%
광 3184
 
6.7%
진 2870
 
6.1%
시 2847
 
6.0%
서 2842
 
6.0%
울 2836
 
6.0%
로 2833
 
6.0%
별 2831
 
6.0%
특 2827
 
6.0%
Other values (221) 16846
35.7%

소재지지번
Text

Distinct4407
Distinct (%)44.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T05:41:13.718909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length48
Mean length27.123112
Min length18

Characters and Unicode

Total characters271204
Distinct characters286
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2427 ?
Unique (%)24.3%

Sample

1st row서울특별시 광진구 군자동 산 355번지 11호
2nd row서울특별시 광진구 중곡동 612번지 2호
3rd row서울특별시 광진구 자양동 1번지 9호
4th row서울특별시 광진구 구의동 246번지 104호 (지하)
5th row서울특별시 광진구 구의동 631번지 1호
ValueCountFrequency (%)
서울특별시 9999
17.6%
광진구 9999
17.6%
산 4296
 
7.6%
화양동 2650
 
4.7%
자양동 2231
 
3.9%
구의동 2088
 
3.7%
중곡동 1746
 
3.1%
1호 840
 
1.5%
1층 700
 
1.2%
군자동 650
 
1.1%
Other values (1332) 21509
37.9%
2024-05-11T05:41:15.653061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74561
27.5%
구 12104
 
4.5%
지 10427
 
3.8%
광 10405
 
3.8%
동 10106
 
3.7%
호 10071
 
3.7%
진 10047
 
3.7%
서 10024
 
3.7%
시 10024
 
3.7%
울 10018
 
3.7%
Other values (276) 103417
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149743
55.2%
Space Separator 74561
27.5%
Decimal Number 45006
 
16.6%
Close Punctuation 555
 
0.2%
Open Punctuation 555
 
0.2%
Other Punctuation 394
 
0.1%
Uppercase Letter 156
 
0.1%
Dash Punctuation 155
 
0.1%
Lowercase Letter 70
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 12104
 
8.1%
지 10427
 
7.0%
광 10405
 
6.9%
동 10106
 
6.7%
호 10071
 
6.7%
진 10047
 
6.7%
서 10024
 
6.7%
시 10024
 
6.7%
울 10018
 
6.7%
별 10006
 
6.7%
Other values (229) 46511
31.1%
Uppercase Letter
ValueCountFrequency (%)
B 65
41.7%
A 23
 
14.7%
F 12
 
7.7%
P 12
 
7.7%
H 11
 
7.1%
D 11
 
7.1%
S 4
 
2.6%
I 4
 
2.6%
T 2
 
1.3%
C 2
 
1.3%
Other values (7) 10
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 9528
21.2%
2 7970
17.7%
4 4517
10.0%
3 4232
9.4%
5 4011
8.9%
6 3940
8.8%
7 3180
 
7.1%
0 2717
 
6.0%
9 2659
 
5.9%
8 2252
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
i 23
32.9%
m 11
15.7%
l 11
15.7%
e 11
15.7%
h 11
15.7%
t 1
 
1.4%
n 1
 
1.4%
k 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 374
94.9%
/ 16
 
4.1%
: 1
 
0.3%
？ 1
 
0.3%
& 1
 
0.3%
? 1
 
0.3%
Space Separator
ValueCountFrequency (%)
74561
100.0%
Close Punctuation
ValueCountFrequency (%)
) 555
100.0%
Open Punctuation
ValueCountFrequency (%)
( 555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149743
55.2%
Common 121231
44.7%
Latin 230
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 12104
 
8.1%
지 10427
 
7.0%
광 10405
 
6.9%
동 10106
 
6.7%
호 10071
 
6.7%
진 10047
 
6.7%
서 10024
 
6.7%
시 10024
 
6.7%
울 10018
 
6.7%
별 10006
 
6.7%
Other values (229) 46511
31.1%
Latin
ValueCountFrequency (%)
B 65
28.3%
A 23
 
10.0%
i 23
 
10.0%
F 12
 
5.2%
P 12
 
5.2%
m 11
 
4.8%
H 11
 
4.8%
l 11
 
4.8%
e 11
 
4.8%
D 11
 
4.8%
Other values (16) 40
17.4%
Common
ValueCountFrequency (%)
74561
61.5%
1 9528
 
7.9%
2 7970
 
6.6%
4 4517
 
3.7%
3 4232
 
3.5%
5 4011
 
3.3%
6 3940
 
3.2%
7 3180
 
2.6%
0 2717
 
2.2%
9 2659
 
2.2%
Other values (11) 3916
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149743
55.2%
ASCII 121456
44.8%
Number Forms 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74561
61.4%
1 9528
 
7.8%
2 7970
 
6.6%
4 4517
 
3.7%
3 4232
 
3.5%
5 4011
 
3.3%
6 3940
 
3.2%
7 3180
 
2.6%
0 2717
 
2.2%
9 2659
 
2.2%
Other values (35) 4141
 
3.4%
Hangul
ValueCountFrequency (%)
구 12104
 
8.1%
지 10427
 
7.0%
광 10405
 
6.9%
동 10106
 
6.7%
호 10071
 
6.7%
진 10047
 
6.7%
서 10024
 
6.7%
시 10024
 
6.7%
울 10018
 
6.7%
별 10006
 
6.7%
Other values (229) 46511
31.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2782
Distinct (%)28.0%
Missing51
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20059591
Minimum19880414
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:41:16.106336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880414
5-th percentile19941001
Q119970911
median20041012
Q320130903
95-th percentile20230172
Maximum20240318
Range359904
Interquartile range (IQR)159992

Descriptive statistics

Standard deviation93665.78
Coefficient of variation (CV)0.0046693764
Kurtosis-1.1089313
Mean20059591
Median Absolute Deviation (MAD)70699
Skewness0.43494268
Sum1.9957287 × 1011
Variance8.7732783 × 109
MonotonicityNot monotonic
2024-05-11T05:41:16.719822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000623 204
 
2.0%
20211222 167
 
1.7%
20230125 118
 
1.2%
20230926 113
 
1.1%
20191231 70
 
0.7%
20000627 64
 
0.6%
19940514 54
 
0.5%
19950704 50
 
0.5%
20071206 46
 
0.5%
20230907 45
 
0.4%
Other values (2772) 9018
90.2%
(Missing) 51
 
0.5%
ValueCountFrequency (%)
19880414 1
< 0.1%
19900710 1
< 0.1%
19910401 1
< 0.1%
19920129 1
< 0.1%
19920212 2
< 0.1%
19920309 1
< 0.1%
19920504 2
< 0.1%
19920512 2
< 0.1%
19920526 1
< 0.1%
19920530 1
< 0.1%
ValueCountFrequency (%)
20240318 1
< 0.1%
20240315 1
< 0.1%
20240228 2
< 0.1%
20240217 1
< 0.1%
20240214 1
< 0.1%
20240130 1
< 0.1%
20240126 1
< 0.1%
20240119 2
< 0.1%
20240118 1
< 0.1%
20240111 1
< 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

2024-05-11T05:41:17.375786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:17.805590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct935
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:41:18.346986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length130
Median length88
Mean length6.5975
Min length2

Characters and Unicode

Total characters65975
Distinct characters234
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
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 row()
2nd row영업소폐쇄
3rd row영업소폐쇄(직권말소)
4th row시설개수명령(2011.1.31까지)
5th row경고
ValueCountFrequency (%)
3491
26.0%
과태료부과 1108
 
8.3%
영업정지 1004
 
7.5%
영업소폐쇄 1002
 
7.5%
시정명령 745
 
5.6%
과태료 349
 
2.6%
부과 311
 
2.3%
및 249
 
1.9%
과징금부과 156
 
1.2%
시설개수명령 143
 
1.1%
Other values (984) 4851
36.2%
2024-05-11T05:41:19.844648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 5607
 
8.5%
( 5605
 
8.5%
과 4698
 
7.1%
3426
 
5.2%
정 2850
 
4.3%
영 2828
 
4.3%
업 2809
 
4.3%
0 2774
 
4.2%
부 2288
 
3.5%
료 2067
 
3.1%
Other values (224) 31023
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40353
61.2%
Decimal Number 9203
 
13.9%
Close Punctuation 5607
 
8.5%
Open Punctuation 5605
 
8.5%
Space Separator 3426
 
5.2%
Other Punctuation 1541
 
2.3%
Math Symbol 216
 
0.3%
Dash Punctuation 23
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (198) 15984
39.6%
Decimal Number
ValueCountFrequency (%)
0 2774
30.1%
2 1941
21.1%
1 1905
20.7%
5 580
 
6.3%
3 561
 
6.1%
4 412
 
4.5%
6 330
 
3.6%
8 264
 
2.9%
9 224
 
2.4%
7 212
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1104
71.6%
, 222
 
14.4%
% 176
 
11.4%
/ 31
 
2.0%
' 4
 
0.3%
* 2
 
0.1%
: 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 209
96.8%
> 3
 
1.4%
+ 2
 
0.9%
→ 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 5607
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5605
100.0%
Space Separator
ValueCountFrequency (%)
3426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40353
61.2%
Common 25622
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (198) 15984
39.6%
Common
ValueCountFrequency (%)
) 5607
21.9%
( 5605
21.9%
3426
13.4%
0 2774
10.8%
2 1941
 
7.6%
1 1905
 
7.4%
. 1104
 
4.3%
5 580
 
2.3%
3 561
 
2.2%
4 412
 
1.6%
Other values (16) 1707
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40348
61.2%
ASCII 25620
38.8%
Compat Jamo 5
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 5607
21.9%
( 5605
21.9%
3426
13.4%
0 2774
10.8%
2 1941
 
7.6%
1 1905
 
7.4%
. 1104
 
4.3%
5 580
 
2.3%
3 561
 
2.2%
4 412
 
1.6%
Other values (15) 1705
 
6.7%
Hangul
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (197) 15979
39.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

법적근거
Text

MISSING 

Distinct735
Distinct (%)12.8%
Missing4279
Missing (%)42.8%
Memory size156.2 KiB
2024-05-11T05:41:20.686464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length13.565985
Min length3

Characters and Unicode

Total characters77611
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)6.2%

Sample

1st row식품위생법 제21조,제58조
2nd row법 제11조제3항제2호
3rd row식품위생법제 36조, 제71조
4th row공중위생관리법 제4조제7항
5th row식품위생법 제36조, 제37조, 제75조
ValueCountFrequency (%)
법 2783
18.4%
식품위생법 2573
17.0%
제75조 1001
 
6.6%
및 720
 
4.8%
제58조 634
 
4.2%
제71조 494
 
3.3%
제101조제4항1호 478
 
3.2%
제31조 354
 
2.3%
제44조 278
 
1.8%
제101조제2항제1호 253
 
1.7%
Other values (492) 5551
36.7%
2024-05-11T05:41:22.288557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 10138
13.1%
9419
12.1%
조 8552
11.0%
법 6549
 
8.4%
1 5893
 
7.6%
위 3513
 
4.5%
생 3458
 
4.5%
식 3307
 
4.3%
품 3306
 
4.3%
7 3086
 
4.0%
Other values (105) 20390
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45526
58.7%
Decimal Number 20910
26.9%
Space Separator 9419
 
12.1%
Other Punctuation 1654
 
2.1%
Close Punctuation 51
 
0.1%
Open Punctuation 49
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 10138
22.3%
조 8552
18.8%
법 6549
14.4%
위 3513
 
7.7%
생 3458
 
7.6%
식 3307
 
7.3%
품 3306
 
7.3%
항 1793
 
3.9%
호 1153
 
2.5%
및 992
 
2.2%
Other values (86) 2765
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 5893
28.2%
7 3086
14.8%
5 2467
11.8%
2 2182
 
10.4%
4 2004
 
9.6%
3 1705
 
8.2%
8 1342
 
6.4%
0 1331
 
6.4%
6 712
 
3.4%
9 188
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 1614
97.6%
. 39
 
2.4%
? 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 49
96.1%
〕 2
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 47
95.9%
〔 2
 
4.1%
Space Separator
ValueCountFrequency (%)
9419
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45526
58.7%
Common 32083
41.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 10138
22.3%
조 8552
18.8%
법 6549
14.4%
위 3513
 
7.7%
생 3458
 
7.6%
식 3307
 
7.3%
품 3306
 
7.3%
항 1793
 
3.9%
호 1153
 
2.5%
및 992
 
2.2%
Other values (86) 2765
 
6.1%
Common
ValueCountFrequency (%)
9419
29.4%
1 5893
18.4%
7 3086
 
9.6%
5 2467
 
7.7%
2 2182
 
6.8%
4 2004
 
6.2%
3 1705
 
5.3%
, 1614
 
5.0%
8 1342
 
4.2%
0 1331
 
4.1%
Other values (8) 1040
 
3.2%
Latin
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45526
58.7%
ASCII 32079
41.3%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 10138
22.3%
조 8552
18.8%
법 6549
14.4%
위 3513
 
7.7%
생 3458
 
7.6%
식 3307
 
7.3%
품 3306
 
7.3%
항 1793
 
3.9%
호 1153
 
2.5%
및 992
 
2.2%
Other values (86) 2765
 
6.1%
ASCII
ValueCountFrequency (%)
9419
29.4%
1 5893
18.4%
7 3086
 
9.6%
5 2467
 
7.7%
2 2182
 
6.8%
4 2004
 
6.2%
3 1705
 
5.3%
, 1614
 
5.0%
8 1342
 
4.2%
0 1331
 
4.1%
Other values (6) 1036
 
3.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
〕 2
50.0%
〔 2
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2796
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20052004
Minimum2001106
Maximum20240315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:41:23.040833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001106
5-th percentile19941001
Q119971001
median20040910
Q320130828
95-th percentile20230101
Maximum20240315
Range18239209
Interquartile range (IQR)159827

Descriptive statistics

Standard deviation372741.75
Coefficient of variation (CV)0.018588754
Kurtosis2192.1196
Mean20052004
Median Absolute Deviation (MAD)70592
Skewness-45.332257
Sum2.0052004 × 1011
Variance1.3893641 × 1011
MonotonicityNot monotonic
2024-05-11T05:41:23.644094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 346
 
3.5%
20000623 204
 
2.0%
20211222 170
 
1.7%
20230125 117
 
1.2%
20191231 71
 
0.7%
20000627 64
 
0.6%
19940514 54
 
0.5%
19950704 50
 
0.5%
20071206 46
 
0.5%
20181231 44
 
0.4%
Other values (2786) 8834
88.3%
ValueCountFrequency (%)
2001106 1
< 0.1%
2002127 1
< 0.1%
2003103 1
< 0.1%
2051017 1
< 0.1%
19880414 1
< 0.1%
19900710 1
< 0.1%
19910401 1
< 0.1%
19920129 1
< 0.1%
19920212 2
< 0.1%
19920309 1
< 0.1%
ValueCountFrequency (%)
20240315 1
< 0.1%
20240313 1
< 0.1%
20240228 2
< 0.1%
20240217 1
< 0.1%
20240206 1
< 0.1%
20240130 1
< 0.1%
20240126 1
< 0.1%
20240118 1
< 0.1%
20240105 1
< 0.1%
20231212 1
< 0.1%

위반내용
Text

Distinct2477
Distinct (%)24.8%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T05:41:24.477978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length321
Median length214
Mean length16.022007
Min length2

Characters and Unicode

Total characters160172
Distinct characters697
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1659 ?
Unique (%)16.6%

Sample

1st row()
2nd row영업장 시설물 전부 멸실
3rd row세무서폐업(2018.1.22.) 후 공중위생영업 폐업신고 미이행
4th row일반음식점 영업장내 특수조명장치 설치
5th row22:00이후부터 05:00까지 청소년을 출입시킨 때
ValueCountFrequency (%)
3741
 
11.2%
위생교육 1072
 
3.2%
기존영업자 914
 
2.7%
미이수 589
 
1.8%
영업장 457
 
1.4%
시설물 457
 
1.4%
청소년 448
 
1.3%
및 395
 
1.2%
미이수(1차 322
 
1.0%
미이행 302
 
0.9%
Other values (4884) 24658
73.9%
2024-05-11T05:41:26.363265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23903
 
14.9%
) 6660
 
4.2%
( 6653
 
4.2%
2 5551
 
3.5%
업 4040
 
2.5%
0 3982
 
2.5%
1 3969
 
2.5%
영 3142
 
2.0%
. 2953
 
1.8%
미 2819
 
1.8%
Other values (687) 96500
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99218
61.9%
Space Separator 23903
 
14.9%
Decimal Number 17424
 
10.9%
Close Punctuation 6790
 
4.2%
Open Punctuation 6787
 
4.2%
Other Punctuation 5291
 
3.3%
Dash Punctuation 296
 
0.2%
Lowercase Letter 229
 
0.1%
Other Symbol 102
 
0.1%
Uppercase Letter 79
 
< 0.1%
Other values (4) 53
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4040
 
4.1%
영 3142
 
3.2%
미 2819
 
2.8%
위 2697
 
2.7%
이 2285
 
2.3%
시 2260
 
2.3%
기 2143
 
2.2%
년 2022
 
2.0%
자 1809
 
1.8%
생 1653
 
1.7%
Other values (615) 74348
74.9%
Lowercase Letter
ValueCountFrequency (%)
m 63
27.5%
g 57
24.9%
k 22
 
9.6%
l 19
 
8.3%
x 18
 
7.9%
t 16
 
7.0%
n 5
 
2.2%
c 5
 
2.2%
o 4
 
1.7%
h 4
 
1.7%
Other values (8) 16
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
O 24
30.4%
K 14
17.7%
B 9
 
11.4%
A 8
 
10.1%
X 4
 
5.1%
N 3
 
3.8%
S 3
 
3.8%
L 3
 
3.8%
C 3
 
3.8%
G 2
 
2.5%
Other values (5) 6
 
7.6%
Decimal Number
ValueCountFrequency (%)
2 5551
31.9%
0 3982
22.9%
1 3969
22.8%
3 935
 
5.4%
5 590
 
3.4%
4 563
 
3.2%
6 475
 
2.7%
9 467
 
2.7%
7 455
 
2.6%
8 437
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 2953
55.8%
, 972
 
18.4%
: 909
 
17.2%
/ 266
 
5.0%
? 95
 
1.8%
* 77
 
1.5%
' 10
 
0.2%
% 6
 
0.1%
; 2
 
< 0.1%
※ 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
○ 65
63.7%
㎖ 19
 
18.6%
㎡ 15
 
14.7%
℃ 2
 
2.0%
┸ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 6660
98.1%
] 78
 
1.1%
】 38
 
0.6%
」 14
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 6653
98.0%
[ 82
 
1.2%
【 38
 
0.6%
「 14
 
0.2%
Space Separator
ValueCountFrequency (%)
23903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%
Math Symbol
ValueCountFrequency (%)
~ 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99215
61.9%
Common 60646
37.9%
Latin 308
 
0.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4040
 
4.1%
영 3142
 
3.2%
미 2819
 
2.8%
위 2697
 
2.7%
이 2285
 
2.3%
시 2260
 
2.3%
기 2143
 
2.2%
년 2022
 
2.0%
자 1809
 
1.8%
생 1653
 
1.7%
Other values (612) 74345
74.9%
Common
ValueCountFrequency (%)
23903
39.4%
) 6660
 
11.0%
( 6653
 
11.0%
2 5551
 
9.2%
0 3982
 
6.6%
1 3969
 
6.5%
. 2953
 
4.9%
, 972
 
1.6%
3 935
 
1.5%
: 909
 
1.5%
Other values (29) 4159
 
6.9%
Latin
ValueCountFrequency (%)
m 63
20.5%
g 57
18.5%
O 24
 
7.8%
k 22
 
7.1%
l 19
 
6.2%
x 18
 
5.8%
t 16
 
5.2%
K 14
 
4.5%
B 9
 
2.9%
A 8
 
2.6%
Other values (23) 58
18.8%
Han
ValueCountFrequency (%)
諮 1
33.3%
彭 1
33.3%
舊 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99207
61.9%
ASCII 60743
37.9%
None 104
 
0.1%
Geometric Shapes 65
 
< 0.1%
CJK Compat 34
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Punctuation 5
 
< 0.1%
CJK 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23903
39.4%
) 6660
 
11.0%
( 6653
 
11.0%
2 5551
 
9.1%
0 3982
 
6.6%
1 3969
 
6.5%
. 2953
 
4.9%
, 972
 
1.6%
3 935
 
1.5%
: 909
 
1.5%
Other values (50) 4256
 
7.0%
Hangul
ValueCountFrequency (%)
업 4040
 
4.1%
영 3142
 
3.2%
미 2819
 
2.8%
위 2697
 
2.7%
이 2285
 
2.3%
시 2260
 
2.3%
기 2143
 
2.2%
년 2022
 
2.0%
자 1809
 
1.8%
생 1653
 
1.7%
Other values (611) 74337
74.9%
Geometric Shapes
ValueCountFrequency (%)
○ 65
100.0%
None
ValueCountFrequency (%)
【 38
36.5%
】 38
36.5%
「 14
 
13.5%
」 14
 
13.5%
CJK Compat
ValueCountFrequency (%)
㎖ 19
55.9%
㎡ 15
44.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 8
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
60.0%
’ 1
 
20.0%
※ 1
 
20.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
CJK
ValueCountFrequency (%)
諮 1
33.3%
彭 1
33.3%
舊 1
33.3%
Box Drawing
ValueCountFrequency (%)
┸ 1
100.0%

처분내용
Text

Distinct935
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T05:41:27.392080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length130
Median length88
Mean length6.5975
Min length2

Characters and Unicode

Total characters65975
Distinct characters234
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
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 row()
2nd row영업소폐쇄
3rd row영업소폐쇄(직권말소)
4th row시설개수명령(2011.1.31까지)
5th row경고
ValueCountFrequency (%)
3491
26.0%
과태료부과 1108
 
8.3%
영업정지 1004
 
7.5%
영업소폐쇄 1002
 
7.5%
시정명령 745
 
5.6%
과태료 349
 
2.6%
부과 311
 
2.3%
및 249
 
1.9%
과징금부과 156
 
1.2%
시설개수명령 143
 
1.1%
Other values (984) 4851
36.2%
2024-05-11T05:41:28.807629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 5607
 
8.5%
( 5605
 
8.5%
과 4698
 
7.1%
3426
 
5.2%
정 2850
 
4.3%
영 2828
 
4.3%
업 2809
 
4.3%
0 2774
 
4.2%
부 2288
 
3.5%
료 2067
 
3.1%
Other values (224) 31023
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40353
61.2%
Decimal Number 9203
 
13.9%
Close Punctuation 5607
 
8.5%
Open Punctuation 5605
 
8.5%
Space Separator 3426
 
5.2%
Other Punctuation 1541
 
2.3%
Math Symbol 216
 
0.3%
Dash Punctuation 23
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (198) 15984
39.6%
Decimal Number
ValueCountFrequency (%)
0 2774
30.1%
2 1941
21.1%
1 1905
20.7%
5 580
 
6.3%
3 561
 
6.1%
4 412
 
4.5%
6 330
 
3.6%
8 264
 
2.9%
9 224
 
2.4%
7 212
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1104
71.6%
, 222
 
14.4%
% 176
 
11.4%
/ 31
 
2.0%
' 4
 
0.3%
* 2
 
0.1%
: 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 209
96.8%
> 3
 
1.4%
+ 2
 
0.9%
→ 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 5607
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5605
100.0%
Space Separator
ValueCountFrequency (%)
3426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40353
61.2%
Common 25622
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (198) 15984
39.6%
Common
ValueCountFrequency (%)
) 5607
21.9%
( 5605
21.9%
3426
13.4%
0 2774
10.8%
2 1941
 
7.6%
1 1905
 
7.4%
. 1104
 
4.3%
5 580
 
2.3%
3 561
 
2.2%
4 412
 
1.6%
Other values (16) 1707
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40348
61.2%
ASCII 25620
38.8%
Compat Jamo 5
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 5607
21.9%
( 5605
21.9%
3426
13.4%
0 2774
10.8%
2 1941
 
7.6%
1 1905
 
7.4%
. 1104
 
4.3%
5 580
 
2.3%
3 561
 
2.2%
4 412
 
1.6%
Other values (15) 1705
 
6.7%
Hangul
ValueCountFrequency (%)
과 4698
 
11.6%
정 2850
 
7.1%
영 2828
 
7.0%
업 2809
 
7.0%
부 2288
 
5.7%
료 2067
 
5.1%
태 2061
 
5.1%
지 1955
 
4.8%
시 1481
 
3.7%
원 1332
 
3.3%
Other values (197) 15979
39.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)1.9%
Missing6365
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean29.817056
Minimum0
Maximum900
Zeros1389
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:41:29.373713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q330
95-th percentile90
Maximum900
Range900
Interquartile range (IQR)30

Descriptive statistics

Standard deviation69.445907
Coefficient of variation (CV)2.3290665
Kurtosis59.717889
Mean29.817056
Median Absolute Deviation (MAD)15
Skewness6.946303
Sum108385
Variance4822.734
MonotonicityNot monotonic
2024-05-11T05:41:30.334876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1389
 
13.9%
15 635
 
6.3%
60 422
 
4.2%
30 374
 
3.7%
7 238
 
2.4%
90 117
 
1.2%
10 47
 
0.5%
61 42
 
0.4%
75 36
 
0.4%
300 34
 
0.3%
Other values (59) 301
 
3.0%
(Missing) 6365
63.6%
ValueCountFrequency (%)
0 1389
13.9%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 15
 
0.1%
7 238
 
2.4%
8 4
 
< 0.1%
9 3
 
< 0.1%
10 47
 
0.5%
ValueCountFrequency (%)
900 2
 
< 0.1%
750 5
 
0.1%
680 1
 
< 0.1%
600 23
0.2%
300 34
0.3%
230 1
 
< 0.1%
180 1
 
< 0.1%
165 1
 
< 0.1%
150 10
 
0.1%
138 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2673
Distinct (%)40.8%
Missing3449
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean112.1449
Minimum0
Maximum6907.83
Zeros41
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T05:41:31.085270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.56
Q134.115
median72.27
Q3111.3
95-th percentile252.17
Maximum6907.83
Range6907.83
Interquartile range (IQR)77.185

Descriptive statistics

Standard deviation292.5335
Coefficient of variation (CV)2.6085314
Kurtosis297.42959
Mean112.1449
Median Absolute Deviation (MAD)38.56
Skewness15.010477
Sum734661.25
Variance85575.849
MonotonicityNot monotonic
2024-05-11T05:41:31.638958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
0.4%
26.4 26
 
0.3%
80.31 21
 
0.2%
23.1 20
 
0.2%
97.42 18
 
0.2%
91.6 18
 
0.2%
82.68 17
 
0.2%
19.8 17
 
0.2%
27.3 16
 
0.2%
40.0 15
 
0.1%
Other values (2663) 6342
63.4%
(Missing) 3449
34.5%
ValueCountFrequency (%)
0.0 41
0.4%
2.4 2
 
< 0.1%
2.5 1
 
< 0.1%
2.52 1
 
< 0.1%
3.3 2
 
< 0.1%
4.4 1
 
< 0.1%
4.67 1
 
< 0.1%
5.7 1
 
< 0.1%
6.0 1
 
< 0.1%
6.6 2
 
< 0.1%
ValueCountFrequency (%)
6907.83 6
0.1%
3790.5 1
 
< 0.1%
3703.24 2
 
< 0.1%
3228.74 7
0.1%
3142.93 2
 
< 0.1%
2484.97 1
 
< 0.1%
2284.02 1
 
< 0.1%
2069.0 1
 
< 0.1%
1982.99 6
0.1%
1868.2 1
 
< 0.1%

Interactions

2024-05-11T05:40:57.442314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:48.614669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:51.028561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:53.267414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:55.470776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:57.786574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:49.241431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:51.532382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:53.632169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:55.903266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:58.156531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:49.674138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:51.988267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:54.018671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:56.303300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:58.572882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:50.192542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:52.429750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:54.487435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:56.785831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:58.999537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:50.603886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:52.827466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:55.028170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:40:57.126242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T05:41:31.987697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.5000.6661.0000.0560.2050.124
업종명0.5001.0000.9980.5030.0000.0000.573
업태명0.6660.9981.0000.6660.0000.0000.809
지도점검일자1.0000.5030.6661.0000.0260.2050.123
위반일자0.0560.0000.0000.0261.000NaN0.000
처분기간0.2050.0000.0000.205NaN1.0000.000
영업장면적(㎡)0.1240.5730.8090.1230.0000.0001.000
2024-05-11T05:41:32.412073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0001.0000.999-0.250-0.0650.199
지도점검일자1.0001.0000.999-0.248-0.0640.201
위반일자0.9990.9991.000-0.251-0.0650.000
처분기간-0.250-0.248-0.2511.0000.0120.000
영업장면적(㎡)-0.065-0.064-0.0650.0121.0000.279
업종명0.1990.2010.0000.0000.2791.000

Missing values

2024-05-11T05:40:59.490534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T05:41:00.568460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T05:41:01.138833image/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(㎡)
1174830400001998062319810039147유흥주점영업룸살롱설중매<NA>서울특별시 광진구 군자동 산 355번지 11호19980623처분확정()<NA>19980623()()<NA><NA>
97230400002007122719820039037일반음식점한식실비식당<NA>서울특별시 광진구 중곡동 612번지 2호20071207처분확정영업소폐쇄식품위생법 제21조,제58조20071207영업장 시설물 전부 멸실영업소폐쇄<NA>34.88
5423040000202004172013-032일반미용업일반미용업선헤어(Sun hair)서울특별시 광진구 동일로20길 119, 2층 (자양동)서울특별시 광진구 자양동 1번지 9호20200228처분확정영업소폐쇄(직권말소)법 제11조제3항제2호20200228세무서폐업(2018.1.22.) 후 공중위생영업 폐업신고 미이행영업소폐쇄(직권말소)<NA>56.1
999030400002011011720090039912일반음식점호프/통닭라이브일번출구<NA>서울특별시 광진구 구의동 246번지 104호 (지하)20101221처분확정시설개수명령(2011.1.31까지)식품위생법제 36조, 제71조20101221일반음식점 영업장내 특수조명장치 설치시설개수명령(2011.1.31까지)<NA><NA>
220304000020080303046목욕장업공동탕업+찜질시설서비스영업강변사우나24시<NA>서울특별시 광진구 구의동 631번지 1호20080121처분확정경고공중위생관리법 제4조제7항2008012122:00이후부터 05:00까지 청소년을 출입시킨 때경고<NA>694.69
657530400002013121819970039864일반음식점호프/통닭본스치킨서울특별시 광진구 동일로68길 9, (중곡동)서울특별시 광진구 중곡동 249번지 17호20131029처분확정영업소폐쇄식품위생법 제36조, 제37조, 제75조20131029식품접객업소 영업시설물 전부철거(장기폐문) 후 폐업신고 미이행영업소폐쇄<NA>40.15
1001830400002023112220100039106일반음식점정종/대포집/소주방야키토리묘미건대본점서울특별시 광진구 아차산로33길 40, (화양동)서울특별시 광진구 화양동 5번지 29호20230926처분확정과태료부과법 제101조제4항1호202301012022년 기존영업자 위생교육 미이수과태료부과<NA><NA>
400030400001996090419930039052일반음식점한식어촌식당<NA>서울특별시 광진구 광장동 산 322번지 8호19960904처분확정()<NA>19960904()()0114.65
1150630400001999102519720039006유흥주점영업비어(바)살롱하이크라스<NA>서울특별시 광진구 화양동 산 192번지 0호19990628처분확정()<NA>19990628()종업원명부 미비치()0<NA>
682930400002000041119980039359일반음식점분식멋있는사람들<NA>서울특별시 광진구 자양동 산 1번지 7호20000311처분확정()영업정지2월<NA>20000311()청소년주류제공()영업정지2월60119.68
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
827230400002009122920010040014일반음식점분식폴리생만두<NA>서울특별시 광진구 화양동 132번지 69호20091211처분확정영업소폐쇄식품위생법 제35조20091211영업장 시설물 전부철거영업소폐쇄<NA><NA>
461230400002005091519940039225일반음식점호프/통닭허스키<NA>서울특별시 광진구 구의동 596번지 5호20050830처분확정시설개수명령식품위생법 제21조20050830객실내음향기기설치시설개수명령0168.0
324930400002011081719920039519일반음식점한식오븐에 빠진 닭<NA>서울특별시 광진구 화양동 5번지 73호20110307처분확정영업정지 1월갈음 과징금 1,230만원부과식품위생법 제44조20110307청소년 주류제공영업정지 1월갈음 과징금 1,230만원부과<NA>44.49
1496230400002019121720170039094식품제조가공업기타 식품제조가공업광진아이누리애 사회적협동조합서울특별시 광진구 아차산로51길 23, 3층 (구의동)서울특별시 광진구 구의동 252번지 119호 3층20191114처분확정시정명령식품 등의 표시.광고에 관한 법률 제17조(품목 등의 제조정지)20191114제품명 표시기준 위반 : 특정 원재료 및 성분을 제품명에 사용하면서 주표시면에 그 함량을 표시하지 않음시정명령<NA><NA>
1293930400001996111419950039090단란주점단란주점파레스단란주점<NA>서울특별시 광진구 구의동 산 246번지 12호19961114처분확정()<NA>19961114()()<NA>68.38
842430400002003061220020039394일반음식점호프/통닭블랙쪼끼<NA>서울특별시 광진구 자양동 7번지 25호20030507처분확정영업정지식품위생법 제31조20030507청소년 주류제공 1차영업정지<NA><NA>
1024530400002012020920110039470일반음식점호프/통닭알피엠(RPM)<NA>서울특별시 광진구 화양동 5번지 106호20111213처분확정시설개수명령(2012.03.24까지)식품위생법 제36조20111213유흥주점외의 영업장에 무대시설(무도장)을 설치한 경우시설개수명령(2012.03.24까지)<NA><NA>
865930400002007082020030039219일반음식점호프/통닭사바사바치킨<NA>서울특별시 광진구 중곡동 167번지 21호20070816처분확정시정명령식품위생법 제55조, 제57조,제58조20070816기타사항을 위반한 때(영업장소이외 영업)시정명령<NA><NA>
1387630400001996110719800039023휴게음식점다방은하수<NA>서울특별시 광진구 구의동 산 229번지 2호19961107처분확정()<NA>19961107()()<NA>121.77
1556830400002011012619940039715제과점영업제과점영업쉬끄델리과자점<NA>서울특별시 광진구 자양동 580번지 1호20101230처분확정영업소폐쇄식품위생법 제75조20101230시설물 멸실영업소폐쇄<NA>25.5

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
7830400002003111319970039581식품제조가공업식품제조가공업(주)갈릴리유통<NA>서울특별시 광진구 군자동 346번지 23호20031020처분확정품목제조정지식품위생법제31조20031020생산 및 작업기록에 관한 서류 미작성 및 원료수불관계서류 미작성품목제조정지<NA><NA>5
630400001994110519910039109일반음식점뷔페식겔럭시<NA>서울특별시 광진구 구의동 산 595번지 0호19941105처분확정()<NA>19941105()()<NA><NA>4
8130400002003121120030039563일반음식점호프/통닭해변으로 가요<NA>서울특별시 광진구 중곡동 92번지 47호20031110처분확정영업정지식품위생법 제58조20031110청소년 주류제공영업정지<NA><NA>4
20030400002016031619920039451일반음식점호프/통닭정선생 건대점서울특별시 광진구 동일로22길 89, (화양동)서울특별시 광진구 화양동 9번지 86호20160219처분확정과태료부과법 제101조제2항제1호201512312015년 식품위생교육 미이수과태료부과<NA>59.584
2030400001996031819950039525단란주점단란주점동서울비지니스<NA>서울특별시 광진구 구의동 산 243번지 30호19960318처분확정()<NA>19960318()()<NA>78.373
3130400001997042419720039006유흥주점영업비어(바)살롱하이크라스<NA>서울특별시 광진구 화양동 산 192번지 0호19970424처분확정()<NA>19970424()()<NA><NA>3
6230400002003072519880039195일반음식점경양식올인(ALLIN)<NA>서울특별시 광진구 구의동 246번지 39호20030609처분확정시설개수명령식품위생법 제21조20030609객실 노래방기기 설치시설개수명령<NA>97.423
6730400002003072519880039195일반음식점경양식올인(ALLIN)<NA>서울특별시 광진구 구의동 246번지 39호20030609처분확정영업정지식품위생법 제31조20030609노래방기기 설치 손님 노래허용영업정지<NA>97.423
7630400002003111319970039581식품제조가공업식품제조가공업(주)갈릴리유통<NA>서울특별시 광진구 군자동 346번지 23호20031020처분확정품목제조정지식품위생법 제19조20031020자가품질검사 시헝항목 전부 미실시(10개품목)품목제조정지<NA><NA>3
7730400002003111319970039581식품제조가공업식품제조가공업(주)갈릴리유통<NA>서울특별시 광진구 군자동 346번지 23호20031020처분확정품목제조정지식품위생법제19조20031020자가품질검사 시험항목 전부 미실시품목제조정지<NA><NA>3