Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells14788
Missing cells (%)8.7%
Duplicate rows371
Duplicate rows (%)3.7%
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(㎡)
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-10456/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 371 (3.7%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 2 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
처분기간 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
교부번호 has 101 (1.0%) missing valuesMissing
소재지도로명 has 2636 (26.4%) missing valuesMissing
처분기간 has 7456 (74.6%) missing valuesMissing
영업장면적(㎡) has 4551 (45.5%) missing valuesMissing
영업장면적(㎡) is highly skewed (γ1 = 26.52972188)Skewed
처분기간 has 1598 (16.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:04:33.604465
Analysis finished2024-05-11 06:04:42.713960
Duration9.11 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
3180000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 10000
100.0%

Length

2024-05-11T15:04:42.826289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:42.953886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2817
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20099320
Minimum19690322
Maximum20240325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:04:43.109737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690322
5-th percentile19980814
Q120041004
median20110566
Q320160614
95-th percentile20210705
Maximum20240325
Range550003
Interquartile range (IQR)119610.25

Descriptive statistics

Standard deviation75328.766
Coefficient of variation (CV)0.0037478265
Kurtosis-0.95445965
Mean20099320
Median Absolute Deviation (MAD)59735.5
Skewness-0.20950739
Sum2.009932 × 1011
Variance5.674423 × 109
MonotonicityNot monotonic
2024-05-11T15:04:43.305842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060530 447
 
4.5%
20110905 165
 
1.7%
19990616 102
 
1.0%
19990611 94
 
0.9%
19990201 61
 
0.6%
20201110 44
 
0.4%
19960523 39
 
0.4%
20201125 38
 
0.4%
19990326 34
 
0.3%
19990428 33
 
0.3%
Other values (2807) 8943
89.4%
ValueCountFrequency (%)
19690322 1
 
< 0.1%
19921017 1
 
< 0.1%
19940111 2
 
< 0.1%
19940119 4
< 0.1%
19940716 5
0.1%
19940719 1
 
< 0.1%
19941109 1
 
< 0.1%
19941119 1
 
< 0.1%
19941221 2
 
< 0.1%
19941222 3
< 0.1%
ValueCountFrequency (%)
20240325 1
 
< 0.1%
20240307 1
 
< 0.1%
20240216 4
< 0.1%
20240214 2
< 0.1%
20240206 3
< 0.1%
20240205 1
 
< 0.1%
20240201 2
< 0.1%
20240131 3
< 0.1%
20240130 1
 
< 0.1%
20240129 3
< 0.1%

교부번호
Text

MISSING 

Distinct5655
Distinct (%)57.1%
Missing101
Missing (%)1.0%
Memory size156.2 KiB
2024-05-11T15:04:43.689930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.527932
Min length1

Characters and Unicode

Total characters104216
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3783 ?
Unique (%)38.2%

Sample

1st row20160087301
2nd row19860086223
3rd row20130087140
4th row20040087646
5th row19940086967
ValueCountFrequency (%)
19690086003 37
 
0.4%
20010088222 29
 
0.3%
19860086479 27
 
0.3%
19990086402 22
 
0.2%
19820086019 22
 
0.2%
19890086272 19
 
0.2%
19920086860 19
 
0.2%
88 18
 
0.2%
20010086728 17
 
0.2%
20050086016 16
 
0.2%
Other values (5645) 9673
97.7%
2024-05-11T15:04:44.823027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33282
31.9%
8 12569
 
12.1%
1 10820
 
10.4%
6 10104
 
9.7%
2 9466
 
9.1%
9 9336
 
9.0%
7 5977
 
5.7%
4 4302
 
4.1%
3 4163
 
4.0%
5 3983
 
3.8%
Other values (2) 214
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104002
99.8%
Dash Punctuation 213
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33282
32.0%
8 12569
 
12.1%
1 10820
 
10.4%
6 10104
 
9.7%
2 9466
 
9.1%
9 9336
 
9.0%
7 5977
 
5.7%
4 4302
 
4.1%
3 4163
 
4.0%
5 3983
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33282
31.9%
8 12569
 
12.1%
1 10820
 
10.4%
6 10104
 
9.7%
2 9466
 
9.1%
9 9336
 
9.0%
7 5977
 
5.7%
4 4302
 
4.1%
3 4163
 
4.0%
5 3983
 
3.8%
Other values (2) 214
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33282
31.9%
8 12569
 
12.1%
1 10820
 
10.4%
6 10104
 
9.7%
2 9466
 
9.1%
9 9336
 
9.0%
7 5977
 
5.7%
4 4302
 
4.1%
3 4163
 
4.0%
5 3983
 
3.8%
Other values (2) 214
 
0.2%

업종명
Categorical

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5398 
단란주점
1000 
유흥주점영업
795 
휴게음식점
 
407
위생관리용역업
 
272
Other values (34)
2128 

Length

Max length23
Median length5
Mean length5.2401
Min length3

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row제과점영업
2nd row일반음식점
3rd row유통전문판매업
4th row일반음식점
5th row단란주점

Common Values

ValueCountFrequency (%)
일반음식점 5398
54.0%
단란주점 1000
 
10.0%
유흥주점영업 795
 
8.0%
휴게음식점 407
 
4.1%
위생관리용역업 272
 
2.7%
숙박업(일반) 269
 
2.7%
이용업 237
 
2.4%
식품제조가공업 202
 
2.0%
식품등 수입판매업 199
 
2.0%
미용업 152
 
1.5%
Other values (29) 1069
 
10.7%

Length

2024-05-11T15:04:45.126168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5398
52.7%
단란주점 1000
 
9.8%
유흥주점영업 795
 
7.8%
휴게음식점 407
 
4.0%
위생관리용역업 272
 
2.7%
숙박업(일반 269
 
2.6%
이용업 237
 
2.3%
식품제조가공업 202
 
2.0%
식품등 199
 
1.9%
수입판매업 199
 
1.9%
Other values (23) 1258
 
12.3%

업태명
Text

Distinct87
Distinct (%)0.9%
Missing31
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T15:04:45.529985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.8367941
Min length2

Characters and Unicode

Total characters38249
Distinct characters171
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 row제과점영업
2nd row일식
3rd row유통전문판매업
4th row호프/통닭
5th row단란주점
ValueCountFrequency (%)
한식 2163
21.1%
단란주점 1000
 
9.8%
분식 800
 
7.8%
호프/통닭 732
 
7.1%
룸살롱 590
 
5.8%
경양식 496
 
4.8%
기타 362
 
3.5%
중국식 355
 
3.5%
일반미용업 272
 
2.7%
위생관리용역업 272
 
2.7%
Other values (76) 3212
31.3%
2024-05-11T15:04:46.262050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4624
 
12.1%
업 2377
 
6.2%
한 2176
 
5.7%
점 1201
 
3.1%
주 1144
 
3.0%
단 1014
 
2.7%
란 1000
 
2.6%
통 996
 
2.6%
일 932
 
2.4%
/ 900
 
2.4%
Other values (161) 21885
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36526
95.5%
Other Punctuation 916
 
2.4%
Space Separator 285
 
0.7%
Close Punctuation 237
 
0.6%
Open Punctuation 237
 
0.6%
Math Symbol 48
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4624
 
12.7%
업 2377
 
6.5%
한 2176
 
6.0%
점 1201
 
3.3%
주 1144
 
3.1%
단 1014
 
2.8%
란 1000
 
2.7%
통 996
 
2.7%
일 932
 
2.6%
닭 882
 
2.4%
Other values (154) 20180
55.2%
Other Punctuation
ValueCountFrequency (%)
/ 900
98.3%
, 15
 
1.6%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 237
100.0%
Math Symbol
ValueCountFrequency (%)
+ 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36526
95.5%
Common 1723
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4624
 
12.7%
업 2377
 
6.5%
한 2176
 
6.0%
점 1201
 
3.3%
주 1144
 
3.1%
단 1014
 
2.8%
란 1000
 
2.7%
통 996
 
2.7%
일 932
 
2.6%
닭 882
 
2.4%
Other values (154) 20180
55.2%
Common
ValueCountFrequency (%)
/ 900
52.2%
285
 
16.5%
) 237
 
13.8%
( 237
 
13.8%
+ 48
 
2.8%
, 15
 
0.9%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36526
95.5%
ASCII 1723
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4624
 
12.7%
업 2377
 
6.5%
한 2176
 
6.0%
점 1201
 
3.3%
주 1144
 
3.1%
단 1014
 
2.8%
란 1000
 
2.7%
통 996
 
2.7%
일 932
 
2.6%
닭 882
 
2.4%
Other values (154) 20180
55.2%
ASCII
ValueCountFrequency (%)
/ 900
52.2%
285
 
16.5%
) 237
 
13.8%
( 237
 
13.8%
+ 48
 
2.8%
, 15
 
0.9%
. 1
 
0.1%

업소명
Text

Distinct5460
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:04:46.754209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length5.0082
Min length1

Characters and Unicode

Total characters50082
Distinct characters991
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3486 ?
Unique (%)34.9%

Sample

1st row빵장수단팥빵
2nd row송정회집
3rd row(주)헬시탑
4th row빅스펍(Big's PUB)
5th row알프스단란주점
ValueCountFrequency (%)
롯데제과(주 52
 
0.5%
주식회사 45
 
0.4%
대신 24
 
0.2%
해연판점 22
 
0.2%
궁전 21
 
0.2%
현대이용원 19
 
0.2%
삼성테스코(주)홈플러스영등포점 19
 
0.2%
대관령 17
 
0.2%
두원푸드 16
 
0.1%
갤러리 16
 
0.1%
Other values (5700) 10448
97.7%
2024-05-11T15:04:47.489805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1150
 
2.3%
이 1146
 
2.3%
주 1042
 
2.1%
( 921
 
1.8%
) 921
 
1.8%
리 850
 
1.7%
703
 
1.4%
점 671
 
1.3%
식 582
 
1.2%
라 498
 
1.0%
Other values (981) 41598
83.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45480
90.8%
Uppercase Letter 1039
 
2.1%
Open Punctuation 921
 
1.8%
Close Punctuation 921
 
1.8%
Space Separator 703
 
1.4%
Decimal Number 476
 
1.0%
Lowercase Letter 428
 
0.9%
Other Punctuation 93
 
0.2%
Dash Punctuation 10
 
< 0.1%
Letter Number 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1150
 
2.5%
이 1146
 
2.5%
주 1042
 
2.3%
리 850
 
1.9%
점 671
 
1.5%
식 582
 
1.3%
라 498
 
1.1%
아 488
 
1.1%
비 459
 
1.0%
대 457
 
1.0%
Other values (905) 38137
83.9%
Uppercase Letter
ValueCountFrequency (%)
E 108
 
10.4%
O 85
 
8.2%
C 79
 
7.6%
A 76
 
7.3%
S 75
 
7.2%
B 72
 
6.9%
R 49
 
4.7%
L 47
 
4.5%
M 46
 
4.4%
F 42
 
4.0%
Other values (16) 360
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 69
16.1%
a 59
13.8%
s 44
10.3%
n 37
8.6%
i 34
7.9%
o 29
 
6.8%
g 21
 
4.9%
r 20
 
4.7%
l 18
 
4.2%
t 16
 
3.7%
Other values (14) 81
18.9%
Decimal Number
ValueCountFrequency (%)
0 116
24.4%
2 102
21.4%
1 62
13.0%
8 37
 
7.8%
3 36
 
7.6%
7 34
 
7.1%
6 27
 
5.7%
4 25
 
5.3%
9 21
 
4.4%
5 16
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 33
35.5%
& 27
29.0%
, 10
 
10.8%
' 6
 
6.5%
？ 6
 
6.5%
; 5
 
5.4%
# 2
 
2.2%
/ 2
 
2.2%
′ 1
 
1.1%
! 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 921
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%
Space Separator
ValueCountFrequency (%)
703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45386
90.6%
Common 3126
 
6.2%
Latin 1476
 
2.9%
Han 94
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1150
 
2.5%
이 1146
 
2.5%
주 1042
 
2.3%
리 850
 
1.9%
점 671
 
1.5%
식 582
 
1.3%
라 498
 
1.1%
아 488
 
1.1%
비 459
 
1.0%
대 457
 
1.0%
Other values (869) 38043
83.8%
Latin
ValueCountFrequency (%)
E 108
 
7.3%
O 85
 
5.8%
C 79
 
5.4%
A 76
 
5.1%
S 75
 
5.1%
B 72
 
4.9%
e 69
 
4.7%
a 59
 
4.0%
R 49
 
3.3%
L 47
 
3.2%
Other values (41) 757
51.3%
Han
ValueCountFrequency (%)
紳 16
17.0%
士 16
17.0%
肉 8
 
8.5%
館 5
 
5.3%
辛 5
 
5.3%
面 4
 
4.3%
牛 3
 
3.2%
骨 3
 
3.2%
串 2
 
2.1%
天 2
 
2.1%
Other values (26) 30
31.9%
Common
ValueCountFrequency (%)
( 921
29.5%
) 921
29.5%
703
22.5%
0 116
 
3.7%
2 102
 
3.3%
1 62
 
2.0%
8 37
 
1.2%
3 36
 
1.2%
7 34
 
1.1%
. 33
 
1.1%
Other values (15) 161
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45385
90.6%
ASCII 4586
 
9.2%
CJK 93
 
0.2%
Number Forms 9
 
< 0.1%
None 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1150
 
2.5%
이 1146
 
2.5%
주 1042
 
2.3%
리 850
 
1.9%
점 671
 
1.5%
식 582
 
1.3%
라 498
 
1.1%
아 488
 
1.1%
비 459
 
1.0%
대 457
 
1.0%
Other values (868) 38042
83.8%
ASCII
ValueCountFrequency (%)
( 921
20.1%
) 921
20.1%
703
15.3%
0 116
 
2.5%
E 108
 
2.4%
2 102
 
2.2%
O 85
 
1.9%
C 79
 
1.7%
A 76
 
1.7%
S 75
 
1.6%
Other values (63) 1400
30.5%
CJK
ValueCountFrequency (%)
紳 16
17.2%
士 16
17.2%
肉 8
 
8.6%
館 5
 
5.4%
辛 5
 
5.4%
面 4
 
4.3%
牛 3
 
3.2%
骨 3
 
3.2%
串 2
 
2.2%
天 2
 
2.2%
Other values (25) 29
31.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 9
100.0%
None
ValueCountFrequency (%)
？ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
串 1
100.0%
Punctuation
ValueCountFrequency (%)
′ 1
100.0%

소재지도로명
Text

MISSING 

Distinct3876
Distinct (%)52.6%
Missing2636
Missing (%)26.4%
Memory size156.2 KiB
2024-05-11T15:04:47.910766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length63
Mean length34.018061
Min length23

Characters and Unicode

Total characters250509
Distinct characters380
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2363 ?
Unique (%)32.1%

Sample

1st row서울특별시 영등포구 여의대방로65길 17, 1층 106호 (여의도동, 서린빌딩)
2nd row서울특별시 영등포구 국제금융로 78, (여의도동,홍우빌딩)
3rd row서울특별시 영등포구 양산로 139, 102호 (당산동3가, 한성빌딩)
4th row서울특별시 영등포구 당산로47길 8, (당산동6가,당일빌딩2층)
5th row서울특별시 영등포구 문래로4길 4, (문래동6가, 현대아파트상가 지하4호)
ValueCountFrequency (%)
서울특별시 7364
 
17.4%
영등포구 7364
 
17.4%
대림동 878
 
2.1%
신길동 772
 
1.8%
1층 770
 
1.8%
여의도동 630
 
1.5%
영등포동3가 537
 
1.3%
지하1층 411
 
1.0%
영등포로 345
 
0.8%
당산동3가 294
 
0.7%
Other values (3020) 23058
54.4%
2024-05-11T15:04:48.675207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35112
 
14.0%
, 11673
 
4.7%
영 10742
 
4.3%
1 10187
 
4.1%
포 9749
 
3.9%
등 9721
 
3.9%
동 7917
 
3.2%
) 7678
 
3.1%
( 7678
 
3.1%
서 7535
 
3.0%
Other values (370) 132517
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147307
58.8%
Decimal Number 38690
 
15.4%
Space Separator 35112
 
14.0%
Other Punctuation 11816
 
4.7%
Close Punctuation 7678
 
3.1%
Open Punctuation 7678
 
3.1%
Dash Punctuation 1531
 
0.6%
Uppercase Letter 502
 
0.2%
Math Symbol 149
 
0.1%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 10742
 
7.3%
포 9749
 
6.6%
등 9721
 
6.6%
동 7917
 
5.4%
서 7535
 
5.1%
시 7493
 
5.1%
로 7425
 
5.0%
울 7392
 
5.0%
구 7375
 
5.0%
별 7367
 
5.0%
Other values (319) 64591
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 173
34.5%
C 57
 
11.4%
S 54
 
10.8%
A 51
 
10.2%
K 49
 
9.8%
F 18
 
3.6%
L 16
 
3.2%
T 11
 
2.2%
I 10
 
2.0%
G 10
 
2.0%
Other values (9) 53
 
10.6%
Lowercase Letter
ValueCountFrequency (%)
c 19
41.3%
k 8
17.4%
e 5
 
10.9%
r 3
 
6.5%
l 2
 
4.3%
m 2
 
4.3%
n 2
 
4.3%
a 1
 
2.2%
w 1
 
2.2%
u 1
 
2.2%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 10187
26.3%
2 5635
14.6%
3 5297
13.7%
0 3333
 
8.6%
4 3213
 
8.3%
6 2466
 
6.4%
5 2463
 
6.4%
7 2326
 
6.0%
8 2110
 
5.5%
9 1660
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 11673
98.8%
. 93
 
0.8%
？ 42
 
0.4%
/ 7
 
0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
35112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1531
100.0%
Math Symbol
ValueCountFrequency (%)
~ 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147307
58.8%
Common 102654
41.0%
Latin 548
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 10742
 
7.3%
포 9749
 
6.6%
등 9721
 
6.6%
동 7917
 
5.4%
서 7535
 
5.1%
시 7493
 
5.1%
로 7425
 
5.0%
울 7392
 
5.0%
구 7375
 
5.0%
별 7367
 
5.0%
Other values (319) 64591
43.8%
Latin
ValueCountFrequency (%)
B 173
31.6%
C 57
 
10.4%
S 54
 
9.9%
A 51
 
9.3%
K 49
 
8.9%
c 19
 
3.5%
F 18
 
3.3%
L 16
 
2.9%
T 11
 
2.0%
I 10
 
1.8%
Other values (21) 90
16.4%
Common
ValueCountFrequency (%)
35112
34.2%
, 11673
 
11.4%
1 10187
 
9.9%
) 7678
 
7.5%
( 7678
 
7.5%
2 5635
 
5.5%
3 5297
 
5.2%
0 3333
 
3.2%
4 3213
 
3.1%
6 2466
 
2.4%
Other values (10) 10382
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147307
58.8%
ASCII 103160
41.2%
None 42
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35112
34.0%
, 11673
 
11.3%
1 10187
 
9.9%
) 7678
 
7.4%
( 7678
 
7.4%
2 5635
 
5.5%
3 5297
 
5.1%
0 3333
 
3.2%
4 3213
 
3.1%
6 2466
 
2.4%
Other values (40) 10888
 
10.6%
Hangul
ValueCountFrequency (%)
영 10742
 
7.3%
포 9749
 
6.6%
등 9721
 
6.6%
동 7917
 
5.4%
서 7535
 
5.1%
시 7493
 
5.1%
로 7425
 
5.0%
울 7392
 
5.0%
구 7375
 
5.0%
별 7367
 
5.0%
Other values (319) 64591
43.8%
None
ValueCountFrequency (%)
？ 42
100.0%

소재지지번
Text

Distinct5480
Distinct (%)54.9%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T15:04:49.149712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length58
Mean length31.329796
Min length23

Characters and Unicode

Total characters312922
Distinct characters399
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

Unique3459 ?
Unique (%)34.6%

Sample

1st row서울특별시 영등포구 여의도동 45번지 15호 서린빌딩 1층-106
2nd row서울특별시 영등포구 여의도동 43번지 3호 홍우빌딩
3rd row서울특별시 영등포구 당산동3가 5번지 1호 한성빌딩-102
4th row서울특별시 영등포구 당산동6가 315번지 당일빌딩2층
5th row서울특별시 영등포구 당산동3가 산 230번지 1호 ,2
ValueCountFrequency (%)
서울특별시 9988
 
17.0%
영등포구 9988
 
17.0%
산 2062
 
3.5%
여의도동 2051
 
3.5%
신길동 1494
 
2.5%
대림동 1429
 
2.4%
영등포동3가 1097
 
1.9%
1호 1015
 
1.7%
0호 902
 
1.5%
2호 779
 
1.3%
Other values (2861) 27800
47.4%
2024-05-11T15:04:49.979411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73563
23.5%
1 12989
 
4.2%
영 12339
 
3.9%
포 12284
 
3.9%
등 12257
 
3.9%
지 11877
 
3.8%
호 10405
 
3.3%
동 10318
 
3.3%
서 10089
 
3.2%
시 10078
 
3.2%
Other values (389) 136723
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182282
58.3%
Space Separator 73563
23.5%
Decimal Number 54081
 
17.3%
Other Punctuation 832
 
0.3%
Dash Punctuation 777
 
0.2%
Uppercase Letter 461
 
0.1%
Open Punctuation 373
 
0.1%
Close Punctuation 373
 
0.1%
Math Symbol 133
 
< 0.1%
Lowercase Letter 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 12339
 
6.8%
포 12284
 
6.7%
등 12257
 
6.7%
지 11877
 
6.5%
호 10405
 
5.7%
동 10318
 
5.7%
서 10089
 
5.5%
시 10078
 
5.5%
울 10021
 
5.5%
구 10002
 
5.5%
Other values (336) 72612
39.8%
Uppercase Letter
ValueCountFrequency (%)
B 131
28.4%
S 57
12.4%
K 53
11.5%
C 51
 
11.1%
A 47
 
10.2%
F 15
 
3.3%
L 14
 
3.0%
T 13
 
2.8%
M 11
 
2.4%
D 11
 
2.4%
Other values (10) 58
12.6%
Lowercase Letter
ValueCountFrequency (%)
c 19
40.4%
k 8
17.0%
e 5
 
10.6%
r 3
 
6.4%
n 2
 
4.3%
l 2
 
4.3%
m 2
 
4.3%
u 1
 
2.1%
o 1
 
2.1%
w 1
 
2.1%
Other values (3) 3
 
6.4%
Decimal Number
ValueCountFrequency (%)
1 12989
24.0%
3 7479
13.8%
2 7235
13.4%
4 5791
10.7%
0 5214
9.6%
5 4308
 
8.0%
6 3412
 
6.3%
7 2784
 
5.1%
8 2440
 
4.5%
9 2429
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 656
78.8%
. 122
 
14.7%
？ 42
 
5.0%
/ 11
 
1.3%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
73563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 777
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Math Symbol
ValueCountFrequency (%)
~ 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182282
58.3%
Common 130132
41.6%
Latin 508
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 12339
 
6.8%
포 12284
 
6.7%
등 12257
 
6.7%
지 11877
 
6.5%
호 10405
 
5.7%
동 10318
 
5.7%
서 10089
 
5.5%
시 10078
 
5.5%
울 10021
 
5.5%
구 10002
 
5.5%
Other values (336) 72612
39.8%
Latin
ValueCountFrequency (%)
B 131
25.8%
S 57
11.2%
K 53
10.4%
C 51
 
10.0%
A 47
 
9.3%
c 19
 
3.7%
F 15
 
3.0%
L 14
 
2.8%
T 13
 
2.6%
M 11
 
2.2%
Other values (23) 97
19.1%
Common
ValueCountFrequency (%)
73563
56.5%
1 12989
 
10.0%
3 7479
 
5.7%
2 7235
 
5.6%
4 5791
 
4.5%
0 5214
 
4.0%
5 4308
 
3.3%
6 3412
 
2.6%
7 2784
 
2.1%
8 2440
 
1.9%
Other values (10) 4917
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182281
58.3%
ASCII 130598
41.7%
None 42
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73563
56.3%
1 12989
 
9.9%
3 7479
 
5.7%
2 7235
 
5.5%
4 5791
 
4.4%
0 5214
 
4.0%
5 4308
 
3.3%
6 3412
 
2.6%
7 2784
 
2.1%
8 2440
 
1.9%
Other values (42) 5383
 
4.1%
Hangul
ValueCountFrequency (%)
영 12339
 
6.8%
포 12284
 
6.7%
등 12257
 
6.7%
지 11877
 
6.5%
호 10405
 
5.7%
동 10318
 
5.7%
서 10089
 
5.5%
시 10078
 
5.5%
울 10021
 
5.5%
구 10002
 
5.5%
Other values (335) 72611
39.8%
None
ValueCountFrequency (%)
？ 42
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3389
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098177
Minimum19690322
Maximum20240222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:04:50.204110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690322
5-th percentile19980814
Q120040811
median20110412
Q320160502
95-th percentile20210426
Maximum20240222
Range549900
Interquartile range (IQR)119691.25

Descriptive statistics

Standard deviation75281.737
Coefficient of variation (CV)0.0037456997
Kurtosis-0.95546642
Mean20098177
Median Absolute Deviation (MAD)59690
Skewness-0.20561377
Sum2.0098177 × 1011
Variance5.6673399 × 109
MonotonicityNot monotonic
2024-05-11T15:04:50.431908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110412 157
 
1.6%
19990616 102
 
1.0%
19990611 94
 
0.9%
20200101 87
 
0.9%
20060403 73
 
0.7%
20060414 73
 
0.7%
20060413 68
 
0.7%
20060407 67
 
0.7%
20060408 62
 
0.6%
20190221 54
 
0.5%
Other values (3379) 9163
91.6%
ValueCountFrequency (%)
19690322 1
 
< 0.1%
19900305 1
 
< 0.1%
19921017 1
 
< 0.1%
19940111 2
 
< 0.1%
19940119 4
< 0.1%
19940403 1
 
< 0.1%
19940716 5
0.1%
19940719 1
 
< 0.1%
19941109 1
 
< 0.1%
19941119 1
 
< 0.1%
ValueCountFrequency (%)
20240222 1
 
< 0.1%
20240205 1
 
< 0.1%
20240124 2
< 0.1%
20240123 1
 
< 0.1%
20240122 3
< 0.1%
20240115 3
< 0.1%
20240112 1
 
< 0.1%
20240110 2
< 0.1%
20240108 1
 
< 0.1%
20240105 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

2024-05-11T15:04:50.677405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:50.845541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1590
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:04:51.214258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length62
Mean length9.6062
Min length2

Characters and Unicode

Total characters96062
Distinct characters261
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1040 ?
Unique (%)10.4%

Sample

1st row과태료16만원부과
2nd row과태료(2015.02.02.완납)
3rd row해당 식품을 원료로 하여 제조가공한 품목류 제조정지1개월(2016.2.29.~3.29.)과 해당제품폐기
4th row과태료부과 48만원
5th row(과태료(구수입))
ValueCountFrequency (%)
시정명령 1996
 
14.6%
영업소폐쇄 1068
 
7.8%
과태료부과 1034
 
7.5%
영업정지 903
 
6.6%
경고 488
 
3.6%
시설개수명령 356
 
2.6%
부과 340
 
2.5%
및 250
 
1.8%
갈음 187
 
1.4%
과징금 183
 
1.3%
Other values (1655) 6898
50.3%
2024-05-11T15:04:51.966045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6969
 
7.3%
정 5189
 
5.4%
업 3909
 
4.1%
영 3848
 
4.0%
( 3814
 
4.0%
) 3804
 
4.0%
3710
 
3.9%
0 3662
 
3.8%
시 3523
 
3.7%
부 3250
 
3.4%
Other values (251) 54384
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66312
69.0%
Decimal Number 15222
 
15.8%
Open Punctuation 3816
 
4.0%
Close Punctuation 3806
 
4.0%
Space Separator 3710
 
3.9%
Other Punctuation 2767
 
2.9%
Math Symbol 363
 
0.4%
Dash Punctuation 63
 
0.1%
Modifier Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (226) 27058
40.8%
Decimal Number
ValueCountFrequency (%)
0 3662
24.1%
1 3183
20.9%
2 3088
20.3%
6 1025
 
6.7%
5 893
 
5.9%
4 887
 
5.8%
3 871
 
5.7%
8 635
 
4.2%
7 559
 
3.7%
9 419
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 2186
79.0%
, 275
 
9.9%
: 180
 
6.5%
% 69
 
2.5%
/ 51
 
1.8%
* 5
 
0.2%
! 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3814
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3804
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3710
100.0%
Math Symbol
ValueCountFrequency (%)
~ 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66312
69.0%
Common 29750
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (226) 27058
40.8%
Common
ValueCountFrequency (%)
( 3814
12.8%
) 3804
12.8%
3710
12.5%
0 3662
12.3%
1 3183
10.7%
2 3088
10.4%
. 2186
7.3%
6 1025
 
3.4%
5 893
 
3.0%
4 887
 
3.0%
Other values (15) 3498
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66290
69.0%
ASCII 29750
31.0%
Compat Jamo 22
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (223) 27036
40.8%
ASCII
ValueCountFrequency (%)
( 3814
12.8%
) 3804
12.8%
3710
12.5%
0 3662
12.3%
1 3183
10.7%
2 3088
10.4%
. 2186
7.3%
6 1025
 
3.4%
5 893
 
3.0%
4 887
 
3.0%
Other values (15) 3498
11.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 20
90.9%
ㅇ 1
 
4.5%
ㅅ 1
 
4.5%

법적근거
Text

Distinct795
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:04:52.503516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length46
Mean length11.3847
Min length1

Characters and Unicode

Total characters113847
Distinct characters120
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)3.8%

Sample

1st row법 제101조제2항제1호
2nd row식품위생법 제101조
3rd row법 제71조, 법 제72조,법 제75조 및 법 제76조
4th row법 제101조제2항제1호
5th row식품위생법
ValueCountFrequency (%)
법 5138
21.3%
식품위생법 3546
14.7%
제75조 1802
 
7.5%
및 1597
 
6.6%
제71조 1511
 
6.3%
제101조제2항제1호 578
 
2.4%
제74조 554
 
2.3%
공중위생관리법 514
 
2.1%
공중위생법 473
 
2.0%
제72조 370
 
1.5%
Other values (562) 8083
33.4%
2024-05-11T15:04:53.311626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14198
12.5%
제 13632
12.0%
법 12159
10.7%
조 11020
9.7%
1 8014
 
7.0%
위 6794
 
6.0%
생 5831
 
5.1%
7 5755
 
5.1%
식 4863
 
4.3%
품 4788
 
4.2%
Other values (110) 26793
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71556
62.9%
Decimal Number 26281
 
23.1%
Space Separator 14198
 
12.5%
Other Punctuation 1727
 
1.5%
Open Punctuation 42
 
< 0.1%
Close Punctuation 42
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 13632
19.1%
법 12159
17.0%
조 11020
15.4%
위 6794
9.5%
생 5831
8.1%
식 4863
 
6.8%
품 4788
 
6.7%
항 1895
 
2.6%
및 1615
 
2.3%
호 1274
 
1.8%
Other values (93) 7685
10.7%
Decimal Number
ValueCountFrequency (%)
1 8014
30.5%
7 5755
21.9%
2 3330
12.7%
5 2166
 
8.2%
4 1981
 
7.5%
3 1713
 
6.5%
0 1688
 
6.4%
6 1003
 
3.8%
8 427
 
1.6%
9 204
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 1719
99.5%
. 7
 
0.4%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71556
62.9%
Common 42291
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 13632
19.1%
법 12159
17.0%
조 11020
15.4%
위 6794
9.5%
생 5831
8.1%
식 4863
 
6.8%
품 4788
 
6.7%
항 1895
 
2.6%
및 1615
 
2.3%
호 1274
 
1.8%
Other values (93) 7685
10.7%
Common
ValueCountFrequency (%)
14198
33.6%
1 8014
18.9%
7 5755
13.6%
2 3330
 
7.9%
5 2166
 
5.1%
4 1981
 
4.7%
, 1719
 
4.1%
3 1713
 
4.1%
0 1688
 
4.0%
6 1003
 
2.4%
Other values (7) 724
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71556
62.9%
ASCII 42291
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14198
33.6%
1 8014
18.9%
7 5755
13.6%
2 3330
 
7.9%
5 2166
 
5.1%
4 1981
 
4.7%
, 1719
 
4.1%
3 1713
 
4.1%
0 1688
 
4.0%
6 1003
 
2.4%
Other values (7) 724
 
1.7%
Hangul
ValueCountFrequency (%)
제 13632
19.1%
법 12159
17.0%
조 11020
15.4%
위 6794
9.5%
생 5831
8.1%
식 4863
 
6.8%
품 4788
 
6.7%
항 1895
 
2.6%
및 1615
 
2.3%
호 1274
 
1.8%
Other values (93) 7685
10.7%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct3437
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098086
Minimum19690322
Maximum20240222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:04:53.573248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19690322
5-th percentile19980814
Q120040811
median20110412
Q320160416
95-th percentile20210422
Maximum20240222
Range549900
Interquartile range (IQR)119605

Descriptive statistics

Standard deviation75254.583
Coefficient of variation (CV)0.0037443657
Kurtosis-0.95591854
Mean20098086
Median Absolute Deviation (MAD)59690
Skewness-0.20417043
Sum2.0098086 × 1011
Variance5.6632523 × 109
MonotonicityNot monotonic
2024-05-11T15:04:53.834119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110412 158
 
1.6%
19990616 102
 
1.0%
19990611 94
 
0.9%
20200101 89
 
0.9%
20190101 79
 
0.8%
20060414 73
 
0.7%
20060403 73
 
0.7%
20060413 68
 
0.7%
20060407 67
 
0.7%
20060408 61
 
0.6%
Other values (3427) 9136
91.4%
ValueCountFrequency (%)
19690322 1
 
< 0.1%
19900305 1
 
< 0.1%
19921017 1
 
< 0.1%
19940111 2
 
< 0.1%
19940119 4
< 0.1%
19940403 1
 
< 0.1%
19940716 5
0.1%
19940719 1
 
< 0.1%
19941109 1
 
< 0.1%
19941119 1
 
< 0.1%
ValueCountFrequency (%)
20240222 1
 
< 0.1%
20240205 1
 
< 0.1%
20240124 2
< 0.1%
20240123 1
 
< 0.1%
20240122 3
< 0.1%
20240115 3
< 0.1%
20240112 1
 
< 0.1%
20240110 2
< 0.1%
20240108 1
 
< 0.1%
20240105 1
 
< 0.1%

위반내용
Text

Distinct3470
Distinct (%)34.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T15:04:54.367575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length216
Median length139
Mean length16.80488
Min length2

Characters and Unicode

Total characters168032
Distinct characters757
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2236 ?
Unique (%)22.4%

Sample

1st row2017년도 기존영업자 위생교육 미이수
2nd row조리종사자건강진단미필
3rd row2015.3.23일 조사처리 허용 대상 외의 식품인 뽕잎미세분말(기타가공품) 60kg을 식품조사처리업체에 조사처리 의뢰함.
4th row종사자건강진단미필(1/1) 영업주건강진단미필
5th row()
ValueCountFrequency (%)
건강진단 745
 
2.4%
영업장 662
 
2.2%
위생교육 591
 
1.9%
미필 581
 
1.9%
및 545
 
1.8%
538
 
1.8%
무단폐업 387
 
1.3%
종업원 329
 
1.1%
기존영업자 311
 
1.0%
외부영업 305
 
1.0%
Other values (4733) 25449
83.6%
2024-05-11T15:04:55.035825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20901
 
12.4%
업 6522
 
3.9%
영 4599
 
2.7%
( 4437
 
2.6%
) 4427
 
2.6%
미 4305
 
2.6%
위 3211
 
1.9%
단 2647
 
1.6%
1 2499
 
1.5%
기 2315
 
1.4%
Other values (747) 112169
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127310
75.8%
Space Separator 20901
 
12.4%
Decimal Number 7953
 
4.7%
Open Punctuation 4466
 
2.7%
Close Punctuation 4456
 
2.7%
Other Punctuation 2164
 
1.3%
Dash Punctuation 453
 
0.3%
Lowercase Letter 182
 
0.1%
Uppercase Letter 86
 
0.1%
Other Symbol 32
 
< 0.1%
Other values (4) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6522
 
5.1%
영 4599
 
3.6%
미 4305
 
3.4%
위 3211
 
2.5%
단 2647
 
2.1%
기 2315
 
1.8%
시 2225
 
1.7%
이 2091
 
1.6%
필 1932
 
1.5%
사 1891
 
1.5%
Other values (671) 95572
75.1%
Lowercase Letter
ValueCountFrequency (%)
g 59
32.4%
m 19
 
10.4%
l 15
 
8.2%
t 12
 
6.6%
k 9
 
4.9%
i 9
 
4.9%
c 9
 
4.9%
o 8
 
4.4%
a 8
 
4.4%
e 6
 
3.3%
Other values (9) 28
15.4%
Uppercase Letter
ValueCountFrequency (%)
C 15
17.4%
E 12
14.0%
P 8
9.3%
M 8
9.3%
A 7
8.1%
S 6
 
7.0%
L 6
 
7.0%
H 6
 
7.0%
O 4
 
4.7%
F 3
 
3.5%
Other values (8) 11
12.8%
Other Punctuation
ValueCountFrequency (%)
. 737
34.1%
/ 481
22.2%
, 442
20.4%
: 431
19.9%
* 21
 
1.0%
? 17
 
0.8%
% 15
 
0.7%
？ 15
 
0.7%
' 2
 
0.1%
; 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 2499
31.4%
2 1755
22.1%
0 1370
17.2%
6 535
 
6.7%
3 492
 
6.2%
4 307
 
3.9%
5 286
 
3.6%
8 267
 
3.4%
9 229
 
2.9%
7 213
 
2.7%
Other Symbol
ValueCountFrequency (%)
㎡ 22
68.8%
㈜ 5
 
15.6%
○ 3
 
9.4%
□ 2
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 4437
99.4%
[ 21
 
0.5%
「 8
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 4427
99.3%
] 21
 
0.5%
」 8
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 14
82.4%
+ 2
 
11.8%
= 1
 
5.9%
Space Separator
ValueCountFrequency (%)
20901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 453
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127311
75.8%
Common 40449
 
24.1%
Latin 268
 
0.2%
Han 3
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6522
 
5.1%
영 4599
 
3.6%
미 4305
 
3.4%
위 3211
 
2.5%
단 2647
 
2.1%
기 2315
 
1.8%
시 2225
 
1.7%
이 2091
 
1.6%
필 1932
 
1.5%
사 1891
 
1.5%
Other values (668) 95573
75.1%
Common
ValueCountFrequency (%)
20901
51.7%
( 4437
 
11.0%
) 4427
 
10.9%
1 2499
 
6.2%
2 1755
 
4.3%
0 1370
 
3.4%
. 737
 
1.8%
6 535
 
1.3%
3 492
 
1.2%
/ 481
 
1.2%
Other values (28) 2815
 
7.0%
Latin
ValueCountFrequency (%)
g 59
22.0%
m 19
 
7.1%
C 15
 
5.6%
l 15
 
5.6%
E 12
 
4.5%
t 12
 
4.5%
k 9
 
3.4%
i 9
 
3.4%
c 9
 
3.4%
o 8
 
3.0%
Other values (27) 101
37.7%
Han
ValueCountFrequency (%)
肉 1
33.3%
諮 1
33.3%
彭 1
33.3%
Hiragana
ValueCountFrequency (%)
ち 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127297
75.8%
ASCII 40657
 
24.2%
None 36
 
< 0.1%
CJK Compat 22
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Geometric Shapes 5
 
< 0.1%
CJK 3
 
< 0.1%
Punctuation 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20901
51.4%
( 4437
 
10.9%
) 4427
 
10.9%
1 2499
 
6.1%
2 1755
 
4.3%
0 1370
 
3.4%
. 737
 
1.8%
6 535
 
1.3%
3 492
 
1.2%
/ 481
 
1.2%
Other values (57) 3023
 
7.4%
Hangul
ValueCountFrequency (%)
업 6522
 
5.1%
영 4599
 
3.6%
미 4305
 
3.4%
위 3211
 
2.5%
단 2647
 
2.1%
기 2315
 
1.8%
시 2225
 
1.7%
이 2091
 
1.6%
필 1932
 
1.5%
사 1891
 
1.5%
Other values (666) 95559
75.1%
CJK Compat
ValueCountFrequency (%)
㎡ 22
100.0%
None
ValueCountFrequency (%)
？ 15
41.7%
「 8
22.2%
」 8
22.2%
㈜ 5
 
13.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 3
60.0%
□ 2
40.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
CJK
ValueCountFrequency (%)
肉 1
33.3%
諮 1
33.3%
彭 1
33.3%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%
Hiragana
ValueCountFrequency (%)
ち 1
100.0%

처분내용
Text

Distinct1590
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:04:55.454402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length62
Mean length9.6062
Min length2

Characters and Unicode

Total characters96062
Distinct characters261
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1040 ?
Unique (%)10.4%

Sample

1st row과태료16만원부과
2nd row과태료(2015.02.02.완납)
3rd row해당 식품을 원료로 하여 제조가공한 품목류 제조정지1개월(2016.2.29.~3.29.)과 해당제품폐기
4th row과태료부과 48만원
5th row(과태료(구수입))
ValueCountFrequency (%)
시정명령 1996
 
14.6%
영업소폐쇄 1068
 
7.8%
과태료부과 1034
 
7.5%
영업정지 903
 
6.6%
경고 488
 
3.6%
시설개수명령 356
 
2.6%
부과 340
 
2.5%
및 250
 
1.8%
갈음 187
 
1.4%
과징금 183
 
1.3%
Other values (1655) 6898
50.3%
2024-05-11T15:04:56.096530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6969
 
7.3%
정 5189
 
5.4%
업 3909
 
4.1%
영 3848
 
4.0%
( 3814
 
4.0%
) 3804
 
4.0%
3710
 
3.9%
0 3662
 
3.8%
시 3523
 
3.7%
부 3250
 
3.4%
Other values (251) 54384
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66312
69.0%
Decimal Number 15222
 
15.8%
Open Punctuation 3816
 
4.0%
Close Punctuation 3806
 
4.0%
Space Separator 3710
 
3.9%
Other Punctuation 2767
 
2.9%
Math Symbol 363
 
0.4%
Dash Punctuation 63
 
0.1%
Modifier Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (226) 27058
40.8%
Decimal Number
ValueCountFrequency (%)
0 3662
24.1%
1 3183
20.9%
2 3088
20.3%
6 1025
 
6.7%
5 893
 
5.9%
4 887
 
5.8%
3 871
 
5.7%
8 635
 
4.2%
7 559
 
3.7%
9 419
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 2186
79.0%
, 275
 
9.9%
: 180
 
6.5%
% 69
 
2.5%
/ 51
 
1.8%
* 5
 
0.2%
! 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3814
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3804
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3710
100.0%
Math Symbol
ValueCountFrequency (%)
~ 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66312
69.0%
Common 29750
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (226) 27058
40.8%
Common
ValueCountFrequency (%)
( 3814
12.8%
) 3804
12.8%
3710
12.5%
0 3662
12.3%
1 3183
10.7%
2 3088
10.4%
. 2186
7.3%
6 1025
 
3.4%
5 893
 
3.0%
4 887
 
3.0%
Other values (15) 3498
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66290
69.0%
ASCII 29750
31.0%
Compat Jamo 22
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6969
 
10.5%
정 5189
 
7.8%
업 3909
 
5.9%
영 3848
 
5.8%
시 3523
 
5.3%
부 3250
 
4.9%
료 3201
 
4.8%
명 3180
 
4.8%
령 3165
 
4.8%
태 3020
 
4.6%
Other values (223) 27036
40.8%
ASCII
ValueCountFrequency (%)
( 3814
12.8%
) 3804
12.8%
3710
12.5%
0 3662
12.3%
1 3183
10.7%
2 3088
10.4%
. 2186
7.3%
6 1025
 
3.4%
5 893
 
3.0%
4 887
 
3.0%
Other values (15) 3498
11.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 20
90.9%
ㅇ 1
 
4.5%
ㅅ 1
 
4.5%

처분기간
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct29
Distinct (%)1.1%
Missing7456
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean4.9874214
Minimum0
Maximum122
Zeros1598
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:04:56.333341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile15
Maximum122
Range122
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.382762
Coefficient of variation (CV)2.2822941
Kurtosis44.969069
Mean4.9874214
Median Absolute Deviation (MAD)0
Skewness5.698417
Sum12688
Variance129.56728
MonotonicityNot monotonic
2024-05-11T15:04:56.562862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1598
 
16.0%
15 351
 
3.5%
7 341
 
3.4%
1 75
 
0.8%
5 31
 
0.3%
20 24
 
0.2%
10 19
 
0.2%
25 19
 
0.2%
2 9
 
0.1%
92 8
 
0.1%
Other values (19) 69
 
0.7%
(Missing) 7456
74.6%
ValueCountFrequency (%)
0 1598
16.0%
1 75
 
0.8%
2 9
 
0.1%
3 7
 
0.1%
5 31
 
0.3%
6 1
 
< 0.1%
7 341
 
3.4%
8 5
 
0.1%
10 19
 
0.2%
12 1
 
< 0.1%
ValueCountFrequency (%)
122 7
0.1%
92 8
0.1%
76 4
< 0.1%
62 4
< 0.1%
61 8
0.1%
60 1
 
< 0.1%
59 3
 
< 0.1%
31 3
 
< 0.1%
30 5
0.1%
29 5
0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct2610
Distinct (%)47.9%
Missing4551
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean438.25005
Minimum0
Maximum286431
Zeros42
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:04:56.782085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5
Q136.8
median68.23
Q3120
95-th percentile480.4
Maximum286431
Range286431
Interquartile range (IQR)83.2

Descriptive statistics

Standard deviation6811.8487
Coefficient of variation (CV)15.543292
Kurtosis820.88534
Mean438.25005
Median Absolute Deviation (MAD)37.62
Skewness26.529722
Sum2388024.5
Variance46401283
MonotonicityNot monotonic
2024-05-11T15:04:56.963950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
 
0.4%
60.0 38
 
0.4%
66.0 28
 
0.3%
53.0 28
 
0.3%
40.0 26
 
0.3%
99.0 26
 
0.3%
33.0 22
 
0.2%
543.53 19
 
0.2%
56.1 19
 
0.2%
116.0 18
 
0.2%
Other values (2600) 5183
51.8%
(Missing) 4551
45.5%
ValueCountFrequency (%)
0.0 42
0.4%
3.56 1
 
< 0.1%
5.0 2
 
< 0.1%
6.6 4
 
< 0.1%
6.94 3
 
< 0.1%
7.0 1
 
< 0.1%
7.4 1
 
< 0.1%
7.5 1
 
< 0.1%
7.59 1
 
< 0.1%
8.0 1
 
< 0.1%
ValueCountFrequency (%)
286431.0 1
 
< 0.1%
156062.0 1
 
< 0.1%
130690.0 8
0.1%
93115.1 1
 
< 0.1%
22316.48 1
 
< 0.1%
22133.0 2
 
< 0.1%
7223.9 1
 
< 0.1%
6334.18 3
 
< 0.1%
4365.99 1
 
< 0.1%
4357.06 2
 
< 0.1%

Interactions

2024-05-11T15:04:40.882386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:37.466128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.359457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.192407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:40.005366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:41.054659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:37.636138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.573510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.354483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:40.190128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:41.198078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:37.812676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.749920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.522834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:40.367662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:41.331038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.006330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.882253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.671621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:40.550455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:41.511715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:38.183038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.014946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:39.833248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:40.722699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:04:57.131402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.5260.6150.9890.9880.4300.020
업종명0.5261.0000.9970.5060.5060.4320.253
업태명0.6150.9971.0000.5960.5960.4310.541
지도점검일자0.9890.5060.5961.0001.0000.4070.006
위반일자0.9880.5060.5961.0001.0000.4060.006
처분기간0.4300.4320.4310.4070.4061.000NaN
영업장면적(㎡)0.0200.2530.5410.0060.006NaN1.000
2024-05-11T15:04:57.364889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0001.0000.9990.6330.0970.232
지도점검일자1.0001.0001.0000.6310.0950.214
위반일자0.9991.0001.0000.6310.0950.214
처분기간0.6330.6310.6311.0000.1560.188
영업장면적(㎡)0.0970.0950.0950.1561.0000.122
업종명0.2320.2140.2140.1880.1221.000

Missing values

2024-05-11T15:04:41.804626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:04:42.195848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T15:04:42.522701image/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(㎡)
775531800002018070620160087301제과점영업제과점영업빵장수단팥빵서울특별시 영등포구 여의대방로65길 17, 1층 106호 (여의도동, 서린빌딩)서울특별시 영등포구 여의도동 45번지 15호 서린빌딩 1층-10620180612처분확정과태료16만원부과법 제101조제2항제1호201801012017년도 기존영업자 위생교육 미이수과태료16만원부과<NA>48.92
1091031800002015030219860086223일반음식점일식송정회집서울특별시 영등포구 국제금융로 78, (여의도동,홍우빌딩)서울특별시 영등포구 여의도동 43번지 3호 홍우빌딩20150119처분확정과태료(2015.02.02.완납)식품위생법 제101조20150119조리종사자건강진단미필과태료(2015.02.02.완납)<NA>33.06
488131800002016021720130087140유통전문판매업유통전문판매업(주)헬시탑서울특별시 영등포구 양산로 139, 102호 (당산동3가, 한성빌딩)서울특별시 영등포구 당산동3가 5번지 1호 한성빌딩-10220160119처분확정해당 식품을 원료로 하여 제조가공한 품목류 제조정지1개월(2016.2.29.~3.29.)과 해당제품폐기법 제71조, 법 제72조,법 제75조 및 법 제76조201601192015.3.23일 조사처리 허용 대상 외의 식품인 뽕잎미세분말(기타가공품) 60kg을 식품조사처리업체에 조사처리 의뢰함.해당 식품을 원료로 하여 제조가공한 품목류 제조정지1개월(2016.2.29.~3.29.)과 해당제품폐기<NA><NA>
896031800002016032320040087646일반음식점호프/통닭빅스펍(Big's PUB)서울특별시 영등포구 당산로47길 8, (당산동6가,당일빌딩2층)서울특별시 영등포구 당산동6가 315번지 당일빌딩2층20160225처분확정과태료부과 48만원법 제101조제2항제1호20160225종사자건강진단미필(1/1) 영업주건강진단미필과태료부과 48만원<NA>194.63
419931800001996052319940086967단란주점단란주점알프스단란주점<NA>서울특별시 영등포구 당산동3가 산 230번지 1호 ,219960523처분확정(과태료(구수입))식품위생법19960523()(과태료(구수입))<NA>69.25
857031800002001050720000086691일반음식점일식샤인<NA>서울특별시 영등포구 영등포동6가 산 15번지 6호20010507처분확정(시정명령)시정명령식품위생법20010507(기타준수사항위반)업종혼동표기(시정명령)시정명령045.5
16523180000201703022014-00007위생관리용역업위생관리용역업태린이엔씨서울특별시 영등포구 문래로4길 4, (문래동6가, 현대아파트상가 지하4호)서울특별시 영등포구 문래동6가 45번지 현대아파트상가 지하4호20170102처분확정과태료16만원법 제17조201701022016 정기위생교육 미수료과태료16만원<NA>41.5
880831800002023102620020086643일반음식점한식문경밥상서울특별시 영등포구 여의대방로47라길 31, (신길동)서울특별시 영등포구 신길동 1047번지20231013처분확정과태료부과 8만원법 제101조제2항제1호 및 영 제67조20231013위생모 미착용과태료부과 8만원<NA><NA>
945931800002016092320140087366일반음식점한식바른치킨(선유도역점)서울특별시 영등포구 선유로49길 23, (양평동4가, 아이에스비즈타워 106~107호)서울특별시 영등포구 양평동4가 80번지 아이에스비즈타워 106~107호20160906처분확정시정명령법 제71조, 법 제74조 및 법 제75조20160906영업장 외부영업시정명령<NA><NA>
554631800001999020119970086572일반음식점한식전주식당<NA>서울특별시 영등포구 영등포동 산 423번지 105호19981212처분확정(시정명령)시정지시식품위생법19981212(기타준수사항위반)영업준수사항위반(시정명령)시정지시1<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
19293180000201707042013-0040종합미용업네일아트업네일민트107(NAIL MINT 107)서울특별시 영등포구 당산로 223, 1층 (당산동5가)서울특별시 영등포구 당산동5가 16번지 3호 1층20170516처분확정영업소폐쇄법 제11조제3항제1호20170516정당한 사유 없이 6개월 이상 계속 휴업영업소폐쇄<NA>36.0
1046731800002012122420020086092식품제조가공업식품제조가공업연흥식품서울특별시 영등포구 도영로7길 14, (도림동)서울특별시 영등포구 도림동 202번지 53호20120814처분확정영업소폐쇄법 제37조20120814영업시설 전부 철거영업소폐쇄<NA><NA>
826318000020101207276이용업일반이용업청기서울특별시 영등포구 대림로 154, (대림동)서울특별시 영등포구 대림동 700번지 1호20100826처분확정영업정지 2월공중위생관리법 제11조20100826성매매알선영업정지 2월<NA>53.0
905831800002018080320070086531일반음식점한식횡성생고기서울특별시 영등포구 양산로 53, (양평동3가,월드메르디앙비즈센터 101호)서울특별시 영등포구 양평동3가 15번지 1호 월드메르디앙비즈센터 101호20180717처분확정과태료8만원부과법 제101조제2항 제1호20180717영업자 건강진단 미필과태료8만원부과<NA>140.4
119331800001999061115600450100206세탁업일반세탁업부흥사<NA>서울특별시 영등포구 신길동 산 314번지 47호19990611처분확정(경고)공중위생법19990611()위생교육미필1차(경고)019.76
1054331800002008102820070086098즉석판매제조가공업즉석판매제조가공업대성식품서울특별시 영등포구 영중로14길 23-3, (영등포동5가,외1필지)서울특별시 영등포구 영등포동5가 12번지 1호 외1필지20080911처분확정시정명령식위11조20080911자가품질검사기록 미비치시정명령<NA><NA>
1032631800001999020119950086254휴게음식점다방솔다방<NA>서울특별시 영등포구 신길동 산 318번지 2호19981121처분확정(영업정지)영업정지1월식품위생법19981121(기타사항을위반한때)사행성오락기설치(영업정지)영업정지1월072.19
829331800002006053019960087016일반음식점분식성원호프서울특별시 영등포구 신길로39길 15, (신길동)서울특별시 영등포구 신길동 257번지 30호20060501처분확정영업소폐쇄식품위생법제21조위반20060501무단폐업영업소폐쇄<NA><NA>
1288531800002017111320090086212유흥주점영업룸살롱에이스서울특별시 영등포구 영등포로50길 5, (영등포동3가,지하1층)서울특별시 영등포구 영등포동3가 13번지 지하1층20171030처분확정과태료부과 8만원법 제101조제2항 제1호20171030대표자건강진단미필과태료부과 8만원<NA><NA>
1102931800001999090619920086860일반음식점호프/통닭아리랑바베큐<NA>서울특별시 영등포구 여의도동 산 44번지 13호19990906처분확정(과징금(식품진흥기금:시수입))식품위생법19990906(시설기준에위반된때)영업장무단확장(2차)(과징금(식품진흥기금:시수입))027.88

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
314318000020170929282위생관리용역업위생관리용역업 기타(주)제이엘티엠서울특별시 영등포구 여의나루로 67, 1205호 (여의도동, 신송빌딩)서울특별시 영등포구 여의도동 25번지 4호 신송빌딩-120520170809처분확정영업소폐쇄법 제11조제3항제1호20170809공중위생영업자가 정당한 사유 없이 6개월 이상 계속 휴업영업소폐쇄<NA>39.06
210318000020120817479일반미용업일반미용업제이엔에스헤어클럽<NA>서울특별시 영등포구 여의도동 36번지 롯데캐슬엠파이어 206호20120716처분확정경고공중위생관리법 제4조제4항20120716소독기구 미구비경고<NA>44.465
5931800002006062319940086208일반음식점한식동해골뱅이전문점서울특별시 영등포구 국제금융로8길 27-9, 103동 비호 (여의도동,동북빌딩)서울특별시 영등포구 여의도동 45번지 20호 103 동북빌딩-비20060607처분확정과징금420만원식품위생법제22조20060607영업장무단확장과징금420만원7117.724
10831800002009090320010086728일반음식점호프/통닭종가대박집서울특별시 영등포구 영등포로42길 8-4, (영등포동3가,29.30.37.38 1~2층)서울특별시 영등포구 영등포동3가 7번지 29호 29.30.37.38 1~2층20090301처분확정영업정지1월(09.9.15~10.14)식위75조20090301청소년 주류제공영업정지1월(09.9.15~10.14)<NA><NA>4
17231800002011090520010086435식품등 수입판매업식품등 수입판매업태조수산서울특별시 영등포구 선유서로 67, (양평동2가,신동아하이팰리스101-903)서울특별시 영등포구 양평동2가 1번지 1호 신동아하이팰리스101-90320110412처분확정영업소폐쇄식품위생법20110412영업소 멸실 및 6개월 이상 휴업영업소폐쇄<NA><NA>4
26231800002014061719940086208일반음식점한식동해골뱅이전문점서울특별시 영등포구 국제금융로8길 27-9, (여의도동,동북빌딩 103-A ,103-B ,101-A ,101-B)서울특별시 영등포구 여의도동 45번지 20호 동북빌딩 103-A ,103-B ,101-A ,101-B20140527처분확정시정명령식품위생법 제36조, 제71조 및 시행규칙제89조20140627영업장외영업시정명령<NA>117.724
35331800002020110620110086462일반음식점한식스시웨이서울특별시 영등포구 당산로54길 50, (당산동6가,지상1층)서울특별시 영등포구 당산동6가 1번지 지상1층20200101처분확정과태료20만원 부과법 제101조제2항제1호202001012019년 기존영업자 위생교육 미이수과태료20만원 부과<NA><NA>4
331800001998072020000086066일반음식점한식신도옥<NA>서울특별시 영등포구 영등포동4가 산 73번지 0호19980616처분확정(시정명령)조리사자격증미게첨식품위생법19980616()(시정명령)조리사자격증미게첨0<NA>3
831800001999082420000086066일반음식점한식신도옥<NA>서울특별시 영등포구 영등포동4가 산 73번지 0호19990727처분확정(과징금(식품진흥기금:시수입))영업정지7일식품위생법19990727(영업시설무단구조변경)무단확장(과징금(식품진흥기금:시수입))영업정지7일0<NA>3
1831800002002112620020086745일반음식점호프/통닭멋쨍이야서울특별시 영등포구 신길로 147, (신길동)서울특별시 영등포구 신길동 254번지 4호20020926처분확정영업정지식품위생법제31조20020926영업정지<NA><NA>3