Overview

Dataset statistics

Number of variables17
Number of observations9943
Missing cells18796
Missing cells (%)11.1%
Duplicate rows390
Duplicate rows (%)3.9%
Total size in memory1.3 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(㎡)
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-9994/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 390 (3.9%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
소재지도로명 has 4470 (45.0%) missing valuesMissing
처분기간 has 8598 (86.5%) missing valuesMissing
영업장면적(㎡) has 5684 (57.2%) missing valuesMissing
지도점검일자 is highly skewed (γ1 = -87.95867368)Skewed
위반일자 is highly skewed (γ1 = -65.74212782)Skewed
영업장면적(㎡) is highly skewed (γ1 = 55.47762497)Skewed

Reproduction

Analysis started2024-05-10 22:23:59.964002
Analysis finished2024-05-10 22:24:13.998182
Duration14.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
3150000
9943 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 9943
100.0%

Length

2024-05-10T22:24:14.177602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:24:14.440851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 9943
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2216
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131158
Minimum20010929
Maximum20240524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-05-10T22:24:14.781709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010929
5-th percentile20040305
Q120080618
median20131125
Q320180529
95-th percentile20230619
Maximum20240524
Range229595
Interquartile range (IQR)99910.5

Descriptive statistics

Standard deviation59136.661
Coefficient of variation (CV)0.0029375688
Kurtosis-1.06494
Mean20131158
Median Absolute Deviation (MAD)49898
Skewness-0.031617341
Sum2.001641 × 1011
Variance3.4971447 × 109
MonotonicityNot monotonic
2024-05-10T22:24:15.256270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181023 84
 
0.8%
20120621 80
 
0.8%
20120320 76
 
0.8%
20121005 70
 
0.7%
20231124 66
 
0.7%
20180228 63
 
0.6%
20100525 59
 
0.6%
20060829 59
 
0.6%
20030725 54
 
0.5%
20130627 53
 
0.5%
Other values (2206) 9279
93.3%
ValueCountFrequency (%)
20010929 1
 
< 0.1%
20011203 1
 
< 0.1%
20020104 1
 
< 0.1%
20020117 3
< 0.1%
20020204 3
< 0.1%
20020207 3
< 0.1%
20020215 2
< 0.1%
20020218 4
< 0.1%
20020411 4
< 0.1%
20020413 1
 
< 0.1%
ValueCountFrequency (%)
20240524 2
 
< 0.1%
20240509 2
 
< 0.1%
20240507 1
 
< 0.1%
20240501 1
 
< 0.1%
20240430 1
 
< 0.1%
20240426 1
 
< 0.1%
20240418 1
 
< 0.1%
20240417 2
 
< 0.1%
20240415 29
0.3%
20240403 1
 
< 0.1%

교부번호
Text

Distinct4730
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:15.846542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.318817
Min length1

Characters and Unicode

Total characters102600
Distinct characters18
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

Unique2796 ?
Unique (%)28.1%

Sample

1st row003
2nd row004
3rd row011
4th row011
5th row013
ValueCountFrequency (%)
20000076553 48
 
0.5%
19990076214 46
 
0.5%
19840076075 39
 
0.4%
20000076607 27
 
0.3%
20010076362 26
 
0.3%
19860076082 24
 
0.2%
20030077421 24
 
0.2%
20020077299 24
 
0.2%
20020076816 23
 
0.2%
20030076026 22
 
0.2%
Other values (4720) 9640
97.0%
2024-05-10T22:24:16.859109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33639
32.8%
7 14097
13.7%
2 11085
 
10.8%
6 10462
 
10.2%
1 9363
 
9.1%
9 8105
 
7.9%
4 4198
 
4.1%
8 4071
 
4.0%
3 3989
 
3.9%
5 3571
 
3.5%
Other values (8) 20
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102580
> 99.9%
Dash Punctuation 13
 
< 0.1%
Other Letter 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33639
32.8%
7 14097
13.7%
2 11085
 
10.8%
6 10462
 
10.2%
1 9363
 
9.1%
9 8105
 
7.9%
4 4198
 
4.1%
8 4071
 
4.0%
3 3989
 
3.9%
5 3571
 
3.5%
Other Letter
ValueCountFrequency (%)
원 1
14.3%
강 1
14.3%
서 1
14.3%
위 1
14.3%
생 1
14.3%
처 1
14.3%
리 1
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 102593
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33639
32.8%
7 14097
13.7%
2 11085
 
10.8%
6 10462
 
10.2%
1 9363
 
9.1%
9 8105
 
7.9%
4 4198
 
4.1%
8 4071
 
4.0%
3 3989
 
3.9%
5 3571
 
3.5%
Hangul
ValueCountFrequency (%)
원 1
14.3%
강 1
14.3%
서 1
14.3%
위 1
14.3%
생 1
14.3%
처 1
14.3%
리 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102593
> 99.9%
Hangul 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33639
32.8%
7 14097
13.7%
2 11085
 
10.8%
6 10462
 
10.2%
1 9363
 
9.1%
9 8105
 
7.9%
4 4198
 
4.1%
8 4071
 
4.0%
3 3989
 
3.9%
5 3571
 
3.5%
Hangul
ValueCountFrequency (%)
원 1
14.3%
강 1
14.3%
서 1
14.3%
위 1
14.3%
생 1
14.3%
처 1
14.3%
리 1
14.3%

업종명
Categorical

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
일반음식점
5612 
유흥주점영업
877 
단란주점
658 
즉석판매제조가공업
 
372
휴게음식점
 
350
Other values (33)
2074 

Length

Max length23
Median length5
Mean length5.5505381
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5612
56.4%
유흥주점영업 877
 
8.8%
단란주점 658
 
6.6%
즉석판매제조가공업 372
 
3.7%
휴게음식점 350
 
3.5%
숙박업(일반) 313
 
3.1%
건강기능식품일반판매업 238
 
2.4%
식품제조가공업 211
 
2.1%
유통전문판매업 176
 
1.8%
제과점영업 147
 
1.5%
Other values (28) 989
 
9.9%

Length

2024-05-10T22:24:17.344837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5612
55.6%
유흥주점영업 877
 
8.7%
단란주점 658
 
6.5%
즉석판매제조가공업 372
 
3.7%
휴게음식점 350
 
3.5%
숙박업(일반 313
 
3.1%
건강기능식품일반판매업 238
 
2.4%
식품제조가공업 211
 
2.1%
유통전문판매업 176
 
1.7%
제과점영업 147
 
1.5%
Other values (25) 1140
 
11.3%

업태명
Text

Distinct86
Distinct (%)0.9%
Missing43
Missing (%)0.4%
Memory size77.8 KiB
2024-05-10T22:24:17.859594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.8380808
Min length2

Characters and Unicode

Total characters47897
Distinct characters167
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

Unique8 ?
Unique (%)0.1%

Sample

1st row여관업
2nd row여관업
3rd row여관업
4th row여관업
5th row여관업
ValueCountFrequency (%)
한식 2021
20.0%
정종/대포집/소주방 1113
 
11.0%
호프/통닭 807
 
8.0%
단란주점 658
 
6.5%
룸살롱 658
 
6.5%
즉석판매제조가공업 371
 
3.7%
통닭(치킨 324
 
3.2%
경양식 282
 
2.8%
여관업 279
 
2.8%
중국식 241
 
2.4%
Other values (77) 3376
33.3%
2024-05-10T22:24:18.802290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3670
 
7.7%
/ 3033
 
6.3%
업 2395
 
5.0%
한 2023
 
4.2%
주 1778
 
3.7%
통 1412
 
2.9%
소 1269
 
2.6%
집 1227
 
2.6%
방 1185
 
2.5%
닭 1131
 
2.4%
Other values (157) 28774
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43603
91.0%
Other Punctuation 3042
 
6.4%
Open Punctuation 474
 
1.0%
Close Punctuation 474
 
1.0%
Space Separator 230
 
0.5%
Math Symbol 74
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3670
 
8.4%
업 2395
 
5.5%
한 2023
 
4.6%
주 1778
 
4.1%
통 1412
 
3.2%
소 1269
 
2.9%
집 1227
 
2.8%
방 1185
 
2.7%
닭 1131
 
2.6%
포 1116
 
2.6%
Other values (150) 26397
60.5%
Other Punctuation
ValueCountFrequency (%)
/ 3033
99.7%
, 6
 
0.2%
. 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 474
100.0%
Space Separator
ValueCountFrequency (%)
230
100.0%
Math Symbol
ValueCountFrequency (%)
+ 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43603
91.0%
Common 4294
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3670
 
8.4%
업 2395
 
5.5%
한 2023
 
4.6%
주 1778
 
4.1%
통 1412
 
3.2%
소 1269
 
2.9%
집 1227
 
2.8%
방 1185
 
2.7%
닭 1131
 
2.6%
포 1116
 
2.6%
Other values (150) 26397
60.5%
Common
ValueCountFrequency (%)
/ 3033
70.6%
( 474
 
11.0%
) 474
 
11.0%
230
 
5.4%
+ 74
 
1.7%
, 6
 
0.1%
. 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43603
91.0%
ASCII 4294
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3670
 
8.4%
업 2395
 
5.5%
한 2023
 
4.6%
주 1778
 
4.1%
통 1412
 
3.2%
소 1269
 
2.9%
집 1227
 
2.8%
방 1185
 
2.7%
닭 1131
 
2.6%
포 1116
 
2.6%
Other values (150) 26397
60.5%
ASCII
ValueCountFrequency (%)
/ 3033
70.6%
( 474
 
11.0%
) 474
 
11.0%
230
 
5.4%
+ 74
 
1.7%
, 6
 
0.1%
. 3
 
0.1%

업소명
Text

Distinct4922
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:19.554628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length5.4318616
Min length1

Characters and Unicode

Total characters54009
Distinct characters975
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2977 ?
Unique (%)29.9%

Sample

1st row경기여관
2nd row온양여관
3rd row허니빌
4th row010 모텔
5th row스카이모텔
ValueCountFrequency (%)
주식회사 124
 
1.1%
황실노래바 43
 
0.4%
네네치킨 39
 
0.3%
sbs노래노래 39
 
0.3%
화곡점 35
 
0.3%
마곡점 31
 
0.3%
노래바 31
 
0.3%
노래 28
 
0.2%
왕실 25
 
0.2%
금강 25
 
0.2%
Other values (5317) 11114
96.4%
2024-05-10T22:24:20.739012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1595
 
3.0%
이 1287
 
2.4%
주 1017
 
1.9%
스 1004
 
1.9%
리 891
 
1.6%
노 841
 
1.6%
) 840
 
1.6%
점 837
 
1.5%
( 834
 
1.5%
래 813
 
1.5%
Other values (965) 44050
81.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47881
88.7%
Space Separator 1595
 
3.0%
Uppercase Letter 1192
 
2.2%
Close Punctuation 841
 
1.6%
Open Punctuation 835
 
1.5%
Decimal Number 819
 
1.5%
Lowercase Letter 523
 
1.0%
Other Punctuation 269
 
0.5%
Dash Punctuation 37
 
0.1%
Math Symbol 12
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1287
 
2.7%
주 1017
 
2.1%
스 1004
 
2.1%
리 891
 
1.9%
노 841
 
1.8%
점 837
 
1.7%
래 813
 
1.7%
마 649
 
1.4%
바 597
 
1.2%
비 562
 
1.2%
Other values (883) 39383
82.3%
Uppercase Letter
ValueCountFrequency (%)
S 160
13.4%
B 107
 
9.0%
C 89
 
7.5%
E 85
 
7.1%
A 75
 
6.3%
O 73
 
6.1%
I 68
 
5.7%
T 68
 
5.7%
P 62
 
5.2%
N 48
 
4.0%
Other values (16) 357
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 109
20.8%
a 61
11.7%
o 37
 
7.1%
m 32
 
6.1%
r 24
 
4.6%
n 24
 
4.6%
l 23
 
4.4%
s 22
 
4.2%
i 22
 
4.2%
p 20
 
3.8%
Other values (14) 149
28.5%
Other Punctuation
ValueCountFrequency (%)
. 78
29.0%
& 64
23.8%
, 55
20.4%
? 16
 
5.9%
' 16
 
5.9%
; 16
 
5.9%
？ 10
 
3.7%
! 8
 
3.0%
% 4
 
1.5%
# 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 204
24.9%
8 123
15.0%
7 115
14.0%
2 92
11.2%
1 75
 
9.2%
9 65
 
7.9%
3 50
 
6.1%
5 46
 
5.6%
4 25
 
3.1%
6 24
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 10
83.3%
+ 1
 
8.3%
= 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 840
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 834
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1595
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47849
88.6%
Common 4408
 
8.2%
Latin 1719
 
3.2%
Han 33
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1287
 
2.7%
주 1017
 
2.1%
스 1004
 
2.1%
리 891
 
1.9%
노 841
 
1.8%
점 837
 
1.7%
래 813
 
1.7%
마 649
 
1.4%
바 597
 
1.2%
비 562
 
1.2%
Other values (862) 39351
82.2%
Latin
ValueCountFrequency (%)
S 160
 
9.3%
e 109
 
6.3%
B 107
 
6.2%
C 89
 
5.2%
E 85
 
4.9%
A 75
 
4.4%
O 73
 
4.2%
I 68
 
4.0%
T 68
 
4.0%
P 62
 
3.6%
Other values (41) 823
47.9%
Common
ValueCountFrequency (%)
1595
36.2%
) 840
19.1%
( 834
18.9%
0 204
 
4.6%
8 123
 
2.8%
7 115
 
2.6%
2 92
 
2.1%
. 78
 
1.8%
1 75
 
1.7%
9 65
 
1.5%
Other values (20) 387
 
8.8%
Han
ValueCountFrequency (%)
家 3
 
9.1%
樂 3
 
9.1%
源 3
 
9.1%
辛 2
 
6.1%
萊 2
 
6.1%
軒 2
 
6.1%
蓬 2
 
6.1%
本 2
 
6.1%
情 1
 
3.0%
黃 1
 
3.0%
Other values (12) 12
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47848
88.6%
ASCII 6113
 
11.3%
CJK 28
 
0.1%
None 11
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1595
26.1%
) 840
13.7%
( 834
13.6%
0 204
 
3.3%
S 160
 
2.6%
8 123
 
2.0%
7 115
 
1.9%
e 109
 
1.8%
B 107
 
1.8%
2 92
 
1.5%
Other values (69) 1934
31.6%
Hangul
ValueCountFrequency (%)
이 1287
 
2.7%
주 1017
 
2.1%
스 1004
 
2.1%
리 891
 
1.9%
노 841
 
1.8%
점 837
 
1.7%
래 813
 
1.7%
마 649
 
1.4%
바 597
 
1.2%
비 562
 
1.2%
Other values (861) 39350
82.2%
None
ValueCountFrequency (%)
？ 10
90.9%
㈜ 1
 
9.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
100.0%
CJK
ValueCountFrequency (%)
家 3
 
10.7%
源 3
 
10.7%
辛 2
 
7.1%
萊 2
 
7.1%
軒 2
 
7.1%
蓬 2
 
7.1%
本 2
 
7.1%
情 1
 
3.6%
黃 1
 
3.6%
豚 1
 
3.6%
Other values (9) 9
32.1%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 3
60.0%
金 1
 
20.0%
李 1
 
20.0%

소재지도로명
Text

MISSING 

Distinct3141
Distinct (%)57.4%
Missing4470
Missing (%)45.0%
Memory size77.8 KiB
2024-05-10T22:24:21.409098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length58
Mean length35.81966
Min length23

Characters and Unicode

Total characters196041
Distinct characters400
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1997 ?
Unique (%)36.5%

Sample

1st row서울특별시 강서구 까치산로 46, (화곡동)
2nd row서울특별시 강서구 화곡로42나길 6, (화곡동)
3rd row서울특별시 강서구 화곡로42나길 6, (화곡동)
4th row서울특별시 강서구 월정로20길 12, (화곡동)
5th row서울특별시 강서구 곰달래로 108, (화곡동, 외 2필지)
ValueCountFrequency (%)
서울특별시 5473
 
14.1%
강서구 5473
 
14.1%
1층 2974
 
7.6%
화곡동 2215
 
5.7%
1동 1049
 
2.7%
지하 674
 
1.7%
마곡동 659
 
1.7%
2층 595
 
1.5%
등촌동 537
 
1.4%
방화동 484
 
1.2%
Other values (2295) 18764
48.2%
2024-05-10T22:24:22.711672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33430
 
17.1%
서 12269
 
6.3%
1 10401
 
5.3%
, 9416
 
4.8%
동 8603
 
4.4%
강 6762
 
3.4%
) 5897
 
3.0%
( 5897
 
3.0%
시 5576
 
2.8%
로 5497
 
2.8%
Other values (390) 92293
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107749
55.0%
Space Separator 33430
 
17.1%
Decimal Number 32108
 
16.4%
Other Punctuation 9432
 
4.8%
Close Punctuation 5899
 
3.0%
Open Punctuation 5899
 
3.0%
Dash Punctuation 852
 
0.4%
Uppercase Letter 317
 
0.2%
Math Symbol 305
 
0.2%
Letter Number 37
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12269
 
11.4%
동 8603
 
8.0%
강 6762
 
6.3%
시 5576
 
5.2%
로 5497
 
5.1%
울 5492
 
5.1%
구 5483
 
5.1%
별 5479
 
5.1%
특 5473
 
5.1%
곡 4773
 
4.4%
Other values (344) 42342
39.3%
Uppercase Letter
ValueCountFrequency (%)
A 101
31.9%
B 99
31.2%
C 39
 
12.3%
I 15
 
4.7%
N 13
 
4.1%
D 9
 
2.8%
O 9
 
2.8%
T 6
 
1.9%
W 4
 
1.3%
E 4
 
1.3%
Other values (10) 18
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 10401
32.4%
2 4143
 
12.9%
3 2875
 
9.0%
6 2715
 
8.5%
4 2575
 
8.0%
0 2570
 
8.0%
5 2444
 
7.6%
8 1620
 
5.0%
7 1597
 
5.0%
9 1168
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
36.4%
c 4
36.4%
b 2
18.2%
n 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 9416
99.8%
. 16
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 5897
> 99.9%
] 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 5897
> 99.9%
[ 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 25
67.6%
Ⅰ 12
32.4%
Space Separator
ValueCountFrequency (%)
33430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 852
100.0%
Math Symbol
ValueCountFrequency (%)
~ 305
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107749
55.0%
Common 87927
44.9%
Latin 365
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12269
 
11.4%
동 8603
 
8.0%
강 6762
 
6.3%
시 5576
 
5.2%
로 5497
 
5.1%
울 5492
 
5.1%
구 5483
 
5.1%
별 5479
 
5.1%
특 5473
 
5.1%
곡 4773
 
4.4%
Other values (344) 42342
39.3%
Latin
ValueCountFrequency (%)
A 101
27.7%
B 99
27.1%
C 39
 
10.7%
Ⅱ 25
 
6.8%
I 15
 
4.1%
N 13
 
3.6%
Ⅰ 12
 
3.3%
D 9
 
2.5%
O 9
 
2.5%
T 6
 
1.6%
Other values (16) 37
 
10.1%
Common
ValueCountFrequency (%)
33430
38.0%
1 10401
 
11.8%
, 9416
 
10.7%
) 5897
 
6.7%
( 5897
 
6.7%
2 4143
 
4.7%
3 2875
 
3.3%
6 2715
 
3.1%
4 2575
 
2.9%
0 2570
 
2.9%
Other values (10) 8008
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107749
55.0%
ASCII 88255
45.0%
Number Forms 37
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33430
37.9%
1 10401
 
11.8%
, 9416
 
10.7%
) 5897
 
6.7%
( 5897
 
6.7%
2 4143
 
4.7%
3 2875
 
3.3%
6 2715
 
3.1%
4 2575
 
2.9%
0 2570
 
2.9%
Other values (34) 8336
 
9.4%
Hangul
ValueCountFrequency (%)
서 12269
 
11.4%
동 8603
 
8.0%
강 6762
 
6.3%
시 5576
 
5.2%
로 5497
 
5.1%
울 5492
 
5.1%
구 5483
 
5.1%
별 5479
 
5.1%
특 5473
 
5.1%
곡 4773
 
4.4%
Other values (344) 42342
39.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 25
67.6%
Ⅰ 12
32.4%

소재지지번
Text

Distinct4767
Distinct (%)47.9%
Missing1
Missing (%)< 0.1%
Memory size77.8 KiB
2024-05-10T22:24:23.366674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length59
Mean length31.692315
Min length21

Characters and Unicode

Total characters315085
Distinct characters398
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2723 ?
Unique (%)27.4%

Sample

1st row서울특별시 강서구 공항동 60번지 81호
2nd row서울특별시 강서구 화곡동 61번지 28호
3rd row서울특별시 강서구 화곡동 24번지 82호
4th row서울특별시 강서구 화곡동 24번지 82호
5th row서울특별시 강서구 화곡동 937번지 22호
ValueCountFrequency (%)
서울특별시 9942
 
15.9%
강서구 9942
 
15.9%
화곡동 5196
 
8.3%
지상 2728
 
4.4%
1층 2525
 
4.1%
등촌동 1164
 
1.9%
방화동 1142
 
1.8%
1호 974
 
1.6%
지하 888
 
1.4%
마곡동 750
 
1.2%
Other values (2493) 27089
43.5%
2024-05-10T22:24:24.637524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75611
24.0%
서 20025
 
6.4%
1 15926
 
5.1%
지 14980
 
4.8%
동 10207
 
3.2%
강 10107
 
3.2%
시 10055
 
3.2%
울 9960
 
3.2%
구 9955
 
3.2%
별 9953
 
3.2%
Other values (388) 128306
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169520
53.8%
Space Separator 75611
24.0%
Decimal Number 58940
 
18.7%
Open Punctuation 4174
 
1.3%
Close Punctuation 4174
 
1.3%
Dash Punctuation 1562
 
0.5%
Other Punctuation 403
 
0.1%
Math Symbol 336
 
0.1%
Uppercase Letter 316
 
0.1%
Letter Number 42
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 20025
 
11.8%
지 14980
 
8.8%
동 10207
 
6.0%
강 10107
 
6.0%
시 10055
 
5.9%
울 9960
 
5.9%
구 9955
 
5.9%
별 9953
 
5.9%
번 9948
 
5.9%
특 9942
 
5.9%
Other values (340) 54388
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 105
33.2%
B 86
27.2%
C 34
 
10.8%
I 23
 
7.3%
D 16
 
5.1%
N 12
 
3.8%
E 7
 
2.2%
P 5
 
1.6%
W 4
 
1.3%
V 4
 
1.3%
Other values (10) 20
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 15926
27.0%
2 7024
11.9%
0 5737
 
9.7%
3 5030
 
8.5%
7 5026
 
8.5%
9 4263
 
7.2%
6 4225
 
7.2%
5 4075
 
6.9%
4 4047
 
6.9%
8 3587
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 348
86.4%
. 45
 
11.2%
/ 8
 
2.0%
@ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
c 1
20.0%
n 1
20.0%
b 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 4170
99.9%
[ 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4170
99.9%
] 4
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 30
71.4%
Ⅰ 12
 
28.6%
Space Separator
ValueCountFrequency (%)
75611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1562
100.0%
Math Symbol
ValueCountFrequency (%)
~ 336
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169520
53.8%
Common 145202
46.1%
Latin 363
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 20025
 
11.8%
지 14980
 
8.8%
동 10207
 
6.0%
강 10107
 
6.0%
시 10055
 
5.9%
울 9960
 
5.9%
구 9955
 
5.9%
별 9953
 
5.9%
번 9948
 
5.9%
특 9942
 
5.9%
Other values (340) 54388
32.1%
Latin
ValueCountFrequency (%)
A 105
28.9%
B 86
23.7%
C 34
 
9.4%
Ⅱ 30
 
8.3%
I 23
 
6.3%
D 16
 
4.4%
N 12
 
3.3%
Ⅰ 12
 
3.3%
E 7
 
1.9%
P 5
 
1.4%
Other values (16) 33
 
9.1%
Common
ValueCountFrequency (%)
75611
52.1%
1 15926
 
11.0%
2 7024
 
4.8%
0 5737
 
4.0%
3 5030
 
3.5%
7 5026
 
3.5%
9 4263
 
2.9%
6 4225
 
2.9%
( 4170
 
2.9%
) 4170
 
2.9%
Other values (12) 14020
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169520
53.8%
ASCII 145523
46.2%
Number Forms 42
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75611
52.0%
1 15926
 
10.9%
2 7024
 
4.8%
0 5737
 
3.9%
3 5030
 
3.5%
7 5026
 
3.5%
9 4263
 
2.9%
6 4225
 
2.9%
( 4170
 
2.9%
) 4170
 
2.9%
Other values (36) 14341
 
9.9%
Hangul
ValueCountFrequency (%)
서 20025
 
11.8%
지 14980
 
8.8%
동 10207
 
6.0%
강 10107
 
6.0%
시 10055
 
5.9%
울 9960
 
5.9%
구 9955
 
5.9%
별 9953
 
5.9%
번 9948
 
5.9%
특 9942
 
5.9%
Other values (340) 54388
32.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 30
71.4%
Ⅰ 12
 
28.6%

지도점검일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3463
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126804
Minimum200206
Maximum20240314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-05-10T22:24:25.053142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200206
5-th percentile20031220
Q120080403
median20130827
Q320180409
95-th percentile20230516
Maximum20240314
Range20040108
Interquartile range (IQR)100006

Descriptive statistics

Standard deviation208388.95
Coefficient of variation (CV)0.010353803
Kurtosis8411.3929
Mean20126804
Median Absolute Deviation (MAD)49887
Skewness-87.958674
Sum2.0012081 × 1011
Variance4.3425955 × 1010
MonotonicityNot monotonic
2024-05-10T22:24:25.610324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141231 118
 
1.2%
20191231 96
 
1.0%
20171231 78
 
0.8%
20181231 75
 
0.8%
20231101 68
 
0.7%
20231025 66
 
0.7%
20151231 60
 
0.6%
20190424 56
 
0.6%
20180411 56
 
0.6%
20190625 53
 
0.5%
Other values (3453) 9217
92.7%
ValueCountFrequency (%)
200206 1
< 0.1%
20010119 1
< 0.1%
20010801 1
< 0.1%
20010829 1
< 0.1%
20010910 2
< 0.1%
20010911 1
< 0.1%
20010914 2
< 0.1%
20010919 1
< 0.1%
20011001 1
< 0.1%
20011031 1
< 0.1%
ValueCountFrequency (%)
20240314 2
< 0.1%
20240313 2
< 0.1%
20240311 1
 
< 0.1%
20240307 3
< 0.1%
20240306 1
 
< 0.1%
20240227 2
< 0.1%
20240223 1
 
< 0.1%
20240220 1
 
< 0.1%
20240219 1
 
< 0.1%
20240216 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
처분확정
9943 

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 9943
100.0%

Length

2024-05-10T22:24:26.046069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T22:24:26.297861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 9943
100.0%

처분명
Text

Distinct824
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:26.704345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length62
Mean length7.9980891
Min length2

Characters and Unicode

Total characters79525
Distinct characters243
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)4.7%

Sample

1st row과징금부과(영업정지2월 갈음 과징금180만원)
2nd row경고
3rd row경고 및 20만원 과태료부과
4th row영업정지 2개월 갈음 과징금 처분
5th row과징금부과 1,230천원
ValueCountFrequency (%)
영업정지 2654
18.1%
시정명령 1794
 
12.2%
과태료부과 1198
 
8.2%
영업소폐쇄 653
 
4.5%
과징금부과 549
 
3.7%
직권말소 448
 
3.1%
과태료 408
 
2.8%
시설개수명령 349
 
2.4%
부과 338
 
2.3%
영업신고사항 231
 
1.6%
Other values (891) 6037
41.2%
2024-05-10T22:24:27.752082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6602
 
8.3%
정 5141
 
6.5%
4727
 
5.9%
업 4392
 
5.5%
영 4353
 
5.5%
부 3473
 
4.4%
지 3244
 
4.1%
료 2650
 
3.3%
태 2545
 
3.2%
시 2536
 
3.2%
Other values (233) 39862
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62299
78.3%
Decimal Number 8069
 
10.1%
Space Separator 4727
 
5.9%
Close Punctuation 1361
 
1.7%
Open Punctuation 1359
 
1.7%
Other Punctuation 1085
 
1.4%
Dash Punctuation 488
 
0.6%
Math Symbol 122
 
0.2%
Connector Punctuation 14
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.0%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (204) 25005
40.1%
Decimal Number
ValueCountFrequency (%)
0 2329
28.9%
2 1599
19.8%
1 1582
19.6%
5 622
 
7.7%
3 475
 
5.9%
6 458
 
5.7%
4 379
 
4.7%
8 360
 
4.5%
7 182
 
2.3%
9 83
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 500
46.1%
% 330
30.4%
, 181
 
16.7%
: 42
 
3.9%
/ 28
 
2.6%
* 3
 
0.3%
; 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 111
91.0%
+ 6
 
4.9%
⇒ 4
 
3.3%
= 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 1353
99.4%
] 8
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1351
99.4%
[ 8
 
0.6%
Space Separator
ValueCountFrequency (%)
4727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62299
78.3%
Common 17225
 
21.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.0%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (204) 25005
40.1%
Common
ValueCountFrequency (%)
4727
27.4%
0 2329
13.5%
2 1599
 
9.3%
1 1582
 
9.2%
) 1353
 
7.9%
( 1351
 
7.8%
5 622
 
3.6%
. 500
 
2.9%
- 488
 
2.8%
3 475
 
2.8%
Other values (18) 2199
12.8%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62272
78.3%
ASCII 17222
 
21.7%
Compat Jamo 27
 
< 0.1%
Arrows 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.1%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (203) 24978
40.1%
ASCII
ValueCountFrequency (%)
4727
27.4%
0 2329
13.5%
2 1599
 
9.3%
1 1582
 
9.2%
) 1353
 
7.9%
( 1351
 
7.8%
5 622
 
3.6%
. 500
 
2.9%
- 488
 
2.8%
3 475
 
2.8%
Other values (18) 2196
12.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 27
100.0%
Arrows
ValueCountFrequency (%)
⇒ 4
100.0%

법적근거
Text

Distinct700
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:28.244040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length49
Mean length12.662074
Min length3

Characters and Unicode

Total characters125899
Distinct characters134
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)3.3%

Sample

1st row공중위생관리법제11조
2nd row위생관리법 제17조제1항 및 같은법시행규칙제23조제1항
3rd row공중위생관리법제17조
4th row법 제11조제1항
5th row공중위생관리법제11조
ValueCountFrequency (%)
법 6713
24.2%
제75조 2271
 
8.2%
및 2266
 
8.2%
식품위생법 2100
 
7.6%
제71조 1561
 
5.6%
제58조 754
 
2.7%
제37조 686
 
2.5%
제74조 685
 
2.5%
제44조 527
 
1.9%
제101조제2항제1호 498
 
1.8%
Other values (498) 9671
34.9%
2024-05-10T22:24:29.161152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 17948
14.3%
17800
14.1%
조 13929
11.1%
법 11878
 
9.4%
1 8660
 
6.9%
7 7541
 
6.0%
위 4585
 
3.6%
생 4526
 
3.6%
식 3982
 
3.2%
품 3981
 
3.2%
Other values (124) 31069
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72682
57.7%
Decimal Number 33579
26.7%
Space Separator 17800
 
14.1%
Other Punctuation 1723
 
1.4%
Close Punctuation 56
 
< 0.1%
Open Punctuation 55
 
< 0.1%
Modifier Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 17948
24.7%
조 13929
19.2%
법 11878
16.3%
위 4585
 
6.3%
생 4526
 
6.2%
식 3982
 
5.5%
품 3981
 
5.5%
항 3603
 
5.0%
및 2321
 
3.2%
호 1398
 
1.9%
Other values (107) 4531
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 8660
25.8%
7 7541
22.5%
5 3924
11.7%
4 3336
 
9.9%
2 3182
 
9.5%
3 2850
 
8.5%
0 1483
 
4.4%
6 1342
 
4.0%
8 1145
 
3.4%
9 116
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 1722
99.9%
; 1
 
0.1%
Space Separator
ValueCountFrequency (%)
17800
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72682
57.7%
Common 53217
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 17948
24.7%
조 13929
19.2%
법 11878
16.3%
위 4585
 
6.3%
생 4526
 
6.2%
식 3982
 
5.5%
품 3981
 
5.5%
항 3603
 
5.0%
및 2321
 
3.2%
호 1398
 
1.9%
Other values (107) 4531
 
6.2%
Common
ValueCountFrequency (%)
17800
33.4%
1 8660
16.3%
7 7541
14.2%
5 3924
 
7.4%
4 3336
 
6.3%
2 3182
 
6.0%
3 2850
 
5.4%
, 1722
 
3.2%
0 1483
 
2.8%
6 1342
 
2.5%
Other values (7) 1377
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72681
57.7%
ASCII 53217
42.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 17948
24.7%
조 13929
19.2%
법 11878
16.3%
위 4585
 
6.3%
생 4526
 
6.2%
식 3982
 
5.5%
품 3981
 
5.5%
항 3603
 
5.0%
및 2321
 
3.2%
호 1398
 
1.9%
Other values (106) 4530
 
6.2%
ASCII
ValueCountFrequency (%)
17800
33.4%
1 8660
16.3%
7 7541
14.2%
5 3924
 
7.4%
4 3336
 
6.3%
2 3182
 
6.0%
3 2850
 
5.4%
, 1722
 
3.2%
0 1483
 
2.8%
6 1342
 
2.5%
Other values (7) 1377
 
2.6%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3609
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20125091
Minimum200206
Maximum21400520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-05-10T22:24:29.595704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200206
5-th percentile20031225
Q120080404
median20130820
Q320180410
95-th percentile20230217
Maximum21400520
Range21200314
Interquartile range (IQR)100005.5

Descriptive statistics

Standard deviation276788.72
Coefficient of variation (CV)0.013753414
Kurtosis4548.1669
Mean20125091
Median Absolute Deviation (MAD)49897
Skewness-65.742128
Sum2.0010378 × 1011
Variance7.6611997 × 1010
MonotonicityNot monotonic
2024-05-10T22:24:29.989507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191231 96
 
1.0%
20141231 88
 
0.9%
20171231 82
 
0.8%
20230101 80
 
0.8%
20150109 75
 
0.8%
20181231 72
 
0.7%
20151231 66
 
0.7%
20231025 66
 
0.7%
20180411 62
 
0.6%
20190424 55
 
0.6%
Other values (3599) 9201
92.5%
ValueCountFrequency (%)
200206 1
 
< 0.1%
2005075 1
 
< 0.1%
20010801 1
 
< 0.1%
20010829 1
 
< 0.1%
20010910 3
< 0.1%
20010914 1
 
< 0.1%
20010919 1
 
< 0.1%
20011001 1
 
< 0.1%
20011019 1
 
< 0.1%
20011031 1
 
< 0.1%
ValueCountFrequency (%)
21400520 1
 
< 0.1%
20240402 1
 
< 0.1%
20240315 2
 
< 0.1%
20240313 2
 
< 0.1%
20240311 1
 
< 0.1%
20240308 1
 
< 0.1%
20240307 28
0.3%
20240306 1
 
< 0.1%
20240304 1
 
< 0.1%
20240223 1
 
< 0.1%

위반내용
Text

Distinct2899
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:30.661706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length455
Median length190
Mean length16.003922
Min length1

Characters and Unicode

Total characters159127
Distinct characters621
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1804 ?
Unique (%)18.1%

Sample

1st row청소년남녀혼숙
2nd row기존영업자교육미이수
3rd row2013년 기존영업자 위생교육미필
4th row청소년이성혼숙
5th row청소년남녀혼숙위반
ValueCountFrequency (%)
763
 
2.5%
기존영업자 687
 
2.2%
폐업신고 679
 
2.2%
위생교육 634
 
2.0%
영업장 620
 
2.0%
유흥접객행위 592
 
1.9%
ㅇ 533
 
1.7%
영업 512
 
1.6%
청소년주류제공 499
 
1.6%
1차 498
 
1.6%
Other values (3924) 25032
80.6%
2024-05-10T22:24:31.805824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21577
 
13.6%
업 5493
 
3.5%
1 3919
 
2.5%
영 3837
 
2.4%
2 3794
 
2.4%
미 3587
 
2.3%
위 3256
 
2.0%
이 2712
 
1.7%
0 2695
 
1.7%
) 2672
 
1.7%
Other values (611) 105585
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113644
71.4%
Space Separator 21577
 
13.6%
Decimal Number 13523
 
8.5%
Other Punctuation 3437
 
2.2%
Close Punctuation 2737
 
1.7%
Open Punctuation 2733
 
1.7%
Dash Punctuation 1317
 
0.8%
Math Symbol 65
 
< 0.1%
Modifier Symbol 35
 
< 0.1%
Lowercase Letter 33
 
< 0.1%
Other values (5) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5493
 
4.8%
영 3837
 
3.4%
미 3587
 
3.2%
위 3256
 
2.9%
이 2712
 
2.4%
기 2248
 
2.0%
년 2226
 
2.0%
주 2048
 
1.8%
소 2028
 
1.8%
제 2005
 
1.8%
Other values (564) 84204
74.1%
Other Punctuation
ValueCountFrequency (%)
. 2108
61.3%
/ 622
 
18.1%
, 400
 
11.6%
: 217
 
6.3%
? 43
 
1.3%
% 17
 
0.5%
* 15
 
0.4%
？ 4
 
0.1%
! 3
 
0.1%
# 3
 
0.1%
Other values (3) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3919
29.0%
2 3794
28.1%
0 2695
19.9%
3 817
 
6.0%
5 444
 
3.3%
9 432
 
3.2%
6 393
 
2.9%
4 385
 
2.8%
8 330
 
2.4%
7 314
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
m 16
48.5%
l 12
36.4%
g 3
 
9.1%
c 2
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
L 8
66.7%
C 2
 
16.7%
V 1
 
8.3%
T 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 2672
97.6%
] 57
 
2.1%
」 8
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 2670
97.7%
[ 58
 
2.1%
「 5
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 60
92.3%
> 3
 
4.6%
→ 2
 
3.1%
Space Separator
ValueCountFrequency (%)
21577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1317
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 35
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113644
71.4%
Common 45438
 
28.6%
Latin 45
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5493
 
4.8%
영 3837
 
3.4%
미 3587
 
3.2%
위 3256
 
2.9%
이 2712
 
2.4%
기 2248
 
2.0%
년 2226
 
2.0%
주 2048
 
1.8%
소 2028
 
1.8%
제 2005
 
1.8%
Other values (564) 84204
74.1%
Common
ValueCountFrequency (%)
21577
47.5%
1 3919
 
8.6%
2 3794
 
8.3%
0 2695
 
5.9%
) 2672
 
5.9%
( 2670
 
5.9%
. 2108
 
4.6%
- 1317
 
2.9%
3 817
 
1.8%
/ 622
 
1.4%
Other values (29) 3247
 
7.1%
Latin
ValueCountFrequency (%)
m 16
35.6%
l 12
26.7%
L 8
17.8%
g 3
 
6.7%
c 2
 
4.4%
C 2
 
4.4%
V 1
 
2.2%
T 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113063
71.1%
ASCII 45453
28.6%
Compat Jamo 581
 
0.4%
None 17
 
< 0.1%
Punctuation 7
 
< 0.1%
CJK Compat 4
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21577
47.5%
1 3919
 
8.6%
2 3794
 
8.3%
0 2695
 
5.9%
) 2672
 
5.9%
( 2670
 
5.9%
. 2108
 
4.6%
- 1317
 
2.9%
3 817
 
1.8%
/ 622
 
1.4%
Other values (29) 3262
 
7.2%
Hangul
ValueCountFrequency (%)
업 5493
 
4.9%
영 3837
 
3.4%
미 3587
 
3.2%
위 3256
 
2.9%
이 2712
 
2.4%
기 2248
 
2.0%
년 2226
 
2.0%
주 2048
 
1.8%
소 2028
 
1.8%
제 2005
 
1.8%
Other values (561) 83623
74.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 571
98.3%
ㆍ 9
 
1.5%
ㄷ 1
 
0.2%
None
ValueCountFrequency (%)
」 8
47.1%
「 5
29.4%
？ 4
23.5%
CJK Compat
ValueCountFrequency (%)
㎡ 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 3
42.9%
’ 3
42.9%
※ 1
 
14.3%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

처분내용
Text

Distinct824
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2024-05-10T22:24:32.330647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length62
Mean length7.9980891
Min length2

Characters and Unicode

Total characters79525
Distinct characters243
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)4.7%

Sample

1st row과징금부과(영업정지2월 갈음 과징금180만원)
2nd row경고
3rd row경고 및 20만원 과태료부과
4th row영업정지 2개월 갈음 과징금 처분
5th row과징금부과 1,230천원
ValueCountFrequency (%)
영업정지 2654
18.1%
시정명령 1794
 
12.2%
과태료부과 1198
 
8.2%
영업소폐쇄 653
 
4.5%
과징금부과 549
 
3.7%
직권말소 448
 
3.1%
과태료 408
 
2.8%
시설개수명령 349
 
2.4%
부과 338
 
2.3%
영업신고사항 231
 
1.6%
Other values (891) 6037
41.2%
2024-05-10T22:24:33.345743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6602
 
8.3%
정 5141
 
6.5%
4727
 
5.9%
업 4392
 
5.5%
영 4353
 
5.5%
부 3473
 
4.4%
지 3244
 
4.1%
료 2650
 
3.3%
태 2545
 
3.2%
시 2536
 
3.2%
Other values (233) 39862
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62299
78.3%
Decimal Number 8069
 
10.1%
Space Separator 4727
 
5.9%
Close Punctuation 1361
 
1.7%
Open Punctuation 1359
 
1.7%
Other Punctuation 1085
 
1.4%
Dash Punctuation 488
 
0.6%
Math Symbol 122
 
0.2%
Connector Punctuation 14
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.0%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (204) 25005
40.1%
Decimal Number
ValueCountFrequency (%)
0 2329
28.9%
2 1599
19.8%
1 1582
19.6%
5 622
 
7.7%
3 475
 
5.9%
6 458
 
5.7%
4 379
 
4.7%
8 360
 
4.5%
7 182
 
2.3%
9 83
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 500
46.1%
% 330
30.4%
, 181
 
16.7%
: 42
 
3.9%
/ 28
 
2.6%
* 3
 
0.3%
; 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 111
91.0%
+ 6
 
4.9%
⇒ 4
 
3.3%
= 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 1353
99.4%
] 8
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1351
99.4%
[ 8
 
0.6%
Space Separator
ValueCountFrequency (%)
4727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62299
78.3%
Common 17225
 
21.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.0%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (204) 25005
40.1%
Common
ValueCountFrequency (%)
4727
27.4%
0 2329
13.5%
2 1599
 
9.3%
1 1582
 
9.2%
) 1353
 
7.9%
( 1351
 
7.8%
5 622
 
3.6%
. 500
 
2.9%
- 488
 
2.8%
3 475
 
2.8%
Other values (18) 2199
12.8%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62272
78.3%
ASCII 17222
 
21.7%
Compat Jamo 27
 
< 0.1%
Arrows 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6602
 
10.6%
정 5141
 
8.3%
업 4392
 
7.1%
영 4353
 
7.0%
부 3473
 
5.6%
지 3244
 
5.2%
료 2650
 
4.3%
태 2545
 
4.1%
시 2536
 
4.1%
명 2358
 
3.8%
Other values (203) 24978
40.1%
ASCII
ValueCountFrequency (%)
4727
27.4%
0 2329
13.5%
2 1599
 
9.3%
1 1582
 
9.2%
) 1353
 
7.9%
( 1351
 
7.8%
5 622
 
3.6%
. 500
 
2.9%
- 488
 
2.8%
3 475
 
2.8%
Other values (18) 2196
12.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 27
100.0%
Arrows
ValueCountFrequency (%)
⇒ 4
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)2.2%
Missing8598
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean12.147955
Minimum0
Maximum31
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-05-10T22:24:33.718552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median15
Q315
95-th percentile16
Maximum31
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2102775
Coefficient of variation (CV)0.4289016
Kurtosis0.80894143
Mean12.147955
Median Absolute Deviation (MAD)0
Skewness-0.38382223
Sum16339
Variance27.146992
MonotonicityNot monotonic
2024-05-10T22:24:34.133156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15 788
 
7.9%
7 257
 
2.6%
10 78
 
0.8%
0 71
 
0.7%
5 30
 
0.3%
3 19
 
0.2%
22 16
 
0.2%
17 15
 
0.2%
20 13
 
0.1%
30 7
 
0.1%
Other values (19) 51
 
0.5%
(Missing) 8598
86.5%
ValueCountFrequency (%)
0 71
 
0.7%
1 1
 
< 0.1%
2 5
 
0.1%
3 19
 
0.2%
4 6
 
0.1%
5 30
 
0.3%
6 5
 
0.1%
7 257
2.6%
8 5
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
31 3
 
< 0.1%
30 7
0.1%
29 2
 
< 0.1%
27 2
 
< 0.1%
25 2
 
< 0.1%
24 1
 
< 0.1%
23 2
 
< 0.1%
22 16
0.2%
20 13
0.1%
19 2
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct1756
Distinct (%)41.2%
Missing5684
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean220.90709
Minimum0
Maximum99174
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size87.5 KiB
2024-05-10T22:24:34.821089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q144.325
median87
Q3150
95-th percentile704.4
Maximum99174
Range99174
Interquartile range (IQR)105.675

Descriptive statistics

Standard deviation1608.9548
Coefficient of variation (CV)7.2834007
Kurtosis3372.6086
Mean220.90709
Median Absolute Deviation (MAD)51.21
Skewness55.477625
Sum940843.29
Variance2588735.7
MonotonicityNot monotonic
2024-05-10T22:24:35.248701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 48
 
0.5%
0.0 34
 
0.3%
66.0 31
 
0.3%
83.46 27
 
0.3%
150.0 23
 
0.2%
81.58 23
 
0.2%
132.0 17
 
0.2%
50.0 16
 
0.2%
115.5 15
 
0.2%
64.17 15
 
0.2%
Other values (1746) 4010
40.3%
(Missing) 5684
57.2%
ValueCountFrequency (%)
0.0 34
0.3%
1.3 1
 
< 0.1%
2.5 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 8
 
0.1%
4.0 1
 
< 0.1%
5.0 3
 
< 0.1%
6.0 12
 
0.1%
6.3 1
 
< 0.1%
6.6 7
 
0.1%
ValueCountFrequency (%)
99174.0 1
 
< 0.1%
23728.45 1
 
< 0.1%
4833.06 1
 
< 0.1%
4641.83 4
< 0.1%
4585.14 4
< 0.1%
3443.1 2
 
< 0.1%
3046.33 1
 
< 0.1%
2935.5 5
0.1%
2913.08 1
 
< 0.1%
2832.92 2
 
< 0.1%

Interactions

2024-05-10T22:24:10.789520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:05.692985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:06.972557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:08.242498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:09.448832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:11.056892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:05.928850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:07.214827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:08.468153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:09.701930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:11.359975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:06.198334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:07.489753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:08.731698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:09.975922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:11.751590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:06.427517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:07.731874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:08.933707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:10.267676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:12.022645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:06.696684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:07.974016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:09.202638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T22:24:10.546458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T22:24:35.524137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4690.542NaN0.0180.4700.035
업종명0.4691.0000.998NaN0.0000.5300.160
업태명0.5420.9981.000NaN0.0000.6320.000
지도점검일자NaNNaNNaN1.000NaNNaNNaN
위반일자0.0180.0000.000NaN1.000NaN0.000
처분기간0.4700.5300.632NaNNaN1.000NaN
영업장면적(㎡)0.0350.1600.000NaN0.000NaN1.000
2024-05-10T22:24:35.903496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.999-0.097-0.0560.182
지도점검일자0.9991.0001.000-0.101-0.0600.000
위반일자0.9991.0001.000-0.102-0.0600.000
처분기간-0.097-0.101-0.1021.000-0.1630.225
영업장면적(㎡)-0.056-0.060-0.060-0.1631.0000.079
업종명0.1820.0000.0000.2250.0791.000

Missing values

2024-05-10T22:24:12.576181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T22:24:13.277340image/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.
2024-05-10T22:24:13.727285image/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(㎡)
0315000020030816003숙박업(일반)여관업경기여관<NA>서울특별시 강서구 공항동 60번지 81호20030805처분확정과징금부과(영업정지2월 갈음 과징금180만원)공중위생관리법제11조20030805청소년남녀혼숙과징금부과(영업정지2월 갈음 과징금180만원)<NA>48.78
1315000020120914004숙박업(일반)여관업온양여관서울특별시 강서구 까치산로 46, (화곡동)서울특별시 강서구 화곡동 61번지 28호20111231처분확정경고위생관리법 제17조제1항 및 같은법시행규칙제23조제1항20111231기존영업자교육미이수경고<NA>169.59
2315000020140310011숙박업(일반)여관업허니빌서울특별시 강서구 화곡로42나길 6, (화곡동)서울특별시 강서구 화곡동 24번지 82호20131231처분확정경고 및 20만원 과태료부과공중위생관리법제17조201312312013년 기존영업자 위생교육미필경고 및 20만원 과태료부과<NA>500.38
3315000020160204011숙박업(일반)여관업010 모텔서울특별시 강서구 화곡로42나길 6, (화곡동)서울특별시 강서구 화곡동 24번지 82호20150920처분확정영업정지 2개월 갈음 과징금 처분법 제11조제1항20150920청소년이성혼숙영업정지 2개월 갈음 과징금 처분<NA>500.38
4315000020040517013숙박업(일반)여관업스카이모텔<NA>서울특별시 강서구 화곡동 937번지 22호20040324처분확정과징금부과 1,230천원공중위생관리법제11조20040324청소년남녀혼숙위반과징금부과 1,230천원<NA>477.65
5315000020090304013숙박업(일반)여관업스카이모텔<NA>서울특별시 강서구 화곡동 937번지 22호20081221처분확정과징금부과공중위생관리법제11조20081221청소년이성혼숙장소제공과징금부과<NA>477.65
6315000020170417013숙박업(일반)여관업모텔 연서울특별시 강서구 월정로20길 12, (화곡동)서울특별시 강서구 화곡동 937번지 22호20170221처분확정영업정지 2월에 갈음한 과징금 246만원 부과법 제11조제1항20170221청소년 이성혼숙 장소제공영업정지 2월에 갈음한 과징금 246만원 부과<NA>477.65
7315000020020918014숙박업(일반)여관업프린스여관<NA>서울특별시 강서구 화곡동 935번지 20호20020823처분확정영업정지공중위생관리법 제11조20020823윤락알선영업정지<NA>477.36
8315000020020207015숙박업(일반)여관업동영파크<NA>서울특별시 강서구 화곡동 24번지 18호20011226처분확정영업정지공중위생관리법 제11조20011226윤락행위 알선 1차위반영업정지<NA>618.17
9315000020060914015숙박업(일반)여관업아방궁모텔<NA>서울특별시 강서구 화곡동 24번지 18호20060627처분확정영업정지2월갈음하는 과징금 1,800,000원공중위생관리법제11조제1항 및 동법시행규칙제19조20060726공중위생관리법 위반(청소년이성혼숙 및 장소제공 1차)영업정지2월갈음하는 과징금 1,800,000원<NA>618.17
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
993331500002023032720190086768건강기능식품유통전문판매업건강기능식품유통전문판매업주식회사 제이에스유 컴퍼니서울특별시 강서구 마곡서로 133, 713동 5층 504호 (마곡동, 마곡엠밸리7단지)서울특별시 강서구 마곡동 743번지 4호 마곡엠밸리7단지20230202처분확정영업소폐쇄법 제32조 1항20230202정당한 사유없이 계속하여 6개월 이상 휴업 및 영업시설물 전부 철거영업소폐쇄<NA>75.15
993431500002021120620190077763건강기능식품유통전문판매업건강기능식품유통전문판매업(주)블랙홀릭서울특별시 강서구 공항대로 219, 센테니아 5층 514~519호 (마곡동)서울특별시 강서구 마곡동 774번지 3호 센테니아20211007처분확정과태료부과 20만원법 제47조제1항제6호202110072020년 기존영업자 보수교육 미수료과태료부과 20만원<NA><NA>
993531500002023121120190080016건강기능식품유통전문판매업건강기능식품유통전문판매업(주)진흥서울특별시 강서구 마곡중앙6로 40, 장흥빌딩 11층 1104,1105,1106호 (마곡동)서울특별시 강서구 마곡동 774번지 8호 장흥빌딩 11층 1104,1105,1106호20231122처분확정과태료부과 16만원법 제47조제1항제6호20230101보수교육미수료(1차)과태료부과 16만원<NA>200.84
993631500002023121120190080016건강기능식품유통전문판매업건강기능식품유통전문판매업(주)진흥서울특별시 강서구 마곡중앙6로 40, 장흥빌딩 11층 1104,1105,1106호 (마곡동)서울특별시 강서구 마곡동 774번지 8호 장흥빌딩 11층 1104,1105,1106호20231122처분확정과태료부과 16만원법 제47조제1항제6호20230101보수교육미수료(1차)과태료부과 16만원<NA>72.23
993731500002022032220190385408건강기능식품유통전문판매업건강기능식품유통전문판매업(주)백록당서울특별시 강서구 공항대로 194, 문영 퀸즈파크12차 12층 1202호 (마곡동)서울특별시 강서구 마곡동 799번지 3호 문영 퀸즈파크12차-120220220207처분확정영업소폐쇄법 제32조 1항20220218영업자가 정당한 사유없이 계속하여 6개월 이상 휴업 및 영업시설 전부 철거영업소폐쇄<NA>34.26
993831500002022032220190385408건강기능식품유통전문판매업건강기능식품유통전문판매업(주)백록당서울특별시 강서구 공항대로 194, 문영 퀸즈파크12차 12층 1202호 (마곡동)서울특별시 강서구 마곡동 799번지 3호 문영 퀸즈파크12차-120220220207처분확정영업소폐쇄법 제32조 1항20220218영업자가 정당한 사유없이 계속하여 6개월 이상 휴업 및 영업시설 전부 철거영업소폐쇄<NA><NA>
993931500002023071320190069034건강기능식품유통전문판매업건강기능식품유통전문판매업(주)포터블뉴트리션서울특별시 강서구 공항대로 242, 열린M타워Ⅱ 6층 603~606호 (마곡동)서울특별시 강서구 마곡동 801번지 1호 열린M타워Ⅱ-603~60620230612처분확정영업정지 2일 갈음 과징금 330만원법 제14조부터 제17조까지20230612심의받지 않은 광고 게시(제품명:포뉴 멀티비타민 미네랄)영업정지 2일 갈음 과징금 330만원15<NA>
994031500002023100520200108153건강기능식품유통전문판매업건강기능식품유통전문판매업(주)얼굴반쪽서울특별시 강서구 마곡중앙6로 66, 퀸즈파크텐 B동 918-A호 (마곡동)서울특별시 강서구 마곡동 797번지 7호 B 퀸즈파크텐-918-A20230915처분확정직권말소법 제6조 6항20230915사업자폐업을 근거로한 직권말소직권말소<NA>4.0
994131500002023100520200108153건강기능식품유통전문판매업건강기능식품유통전문판매업(주)얼굴반쪽서울특별시 강서구 마곡중앙6로 66, 퀸즈파크텐 B동 918-A호 (마곡동)서울특별시 강서구 마곡동 797번지 7호 B 퀸즈파크텐-918-A20230915처분확정직권말소법 제6조 6항20230915사업자폐업을 근거로한 직권말소직권말소<NA><NA>
994231500002023121120210077792건강기능식품유통전문판매업건강기능식품유통전문판매업더셈(thesem)서울특별시 강서구 곰달래로 208, 1층 (화곡동)서울특별시 강서구 화곡동 849번지 22호20231122처분확정과태료부과 20만원법 제47조제1항제6호20231122보수교육 미수료(1차)과태료부과 20만원<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
10431500002008123020060076253일반음식점한식폭주기관차<NA>서울특별시 강서구 화곡동 343번지 60호 2층20081025처분확정영업정지4월식품위생법제58조20081025ㅇ 청소년주류제공영업정지4월<NA><NA>7
1131500002003041519850076004휴게음식점다방금란<NA>서울특별시 강서구 염창동 265번지 25호20030303처분확정과징금240만원식품위생법제31조20030214사행성오락기설치과징금240만원<NA>100.944
2331500002004030519990076207일반음식점한식은행나무집<NA>서울특별시 강서구 공항동 738번지 0호20040126처분확정영업정지식품위생법제31조20040126업소내도박영업정지<NA>51.934
2831500002004062420020076604일반음식점한식와바<NA>서울특별시 강서구 방화동 830번지 2호20040416처분확정영업정지식품위생법제31조20040416유통기한경과제품보관영업정지15<NA>4
3331500002005041320000076419유흥주점영업룸살롱비너스<NA>서울특별시 강서구 화곡동 935번지 14호20050202처분확정영업정지식품위생법제31조20050201윤락알선영업정지<NA>64.174
12831500002009102820010077009일반음식점호프/통닭청송얼음골막걸리<NA>서울특별시 강서구 방화동 830번지 1호 에어뷰 103,104호20080602처분확정영업정지제58조20080602청소년주류제공영업정지<NA><NA>4
13231500002010020520090077156일반음식점호프/통닭즐거운인생<NA>서울특별시 강서구 화곡동 1121번지 11호 (지하 1층)20091203처분확정시설개수명령식품위생법제78조20091202노래방기기설치시설개수명령<NA><NA>4
13731500002010052520070076796일반음식점정종/대포집/소주방하늘공원호프<NA>서울특별시 강서구 화곡동 357번지 23호 (지상 1층)20100302처분확정영업정지식품위생법제75조20100302ㅇ 일반음식점에서 주류만 판매영업정지15<NA>4
15731500002011091420110076192일반음식점호프/통닭비비큐 방화역점<NA>서울특별시 강서구 방화동 829번지 0호 오피앙2 111호,112호 (지상1층)20110711처분확정시정명령식품위생법제71조20110711영업장외 영업시정명령<NA><NA>4
16331500002011122120070076723일반음식점호프/통닭타임호프<NA>서울특별시 강서구 공항동 45번지 10호 (지상 2층)20111119처분확정영업정지식품위생법제75조20111119청소년주류제공영업정지<NA><NA>4