Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells13712
Missing cells (%)8.1%
Duplicate rows386
Duplicate rows (%)3.9%
Total size in memory1.4 MiB
Average record size in memory150.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-10687/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 386 (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 459 (4.6%) missing valuesMissing
처분기간 has 9081 (90.8%) missing valuesMissing
영업장면적(㎡) has 4138 (41.4%) missing valuesMissing
처분일자 is highly skewed (γ1 = 92.34821623)Skewed
위반일자 is highly skewed (γ1 = -55.36106984)Skewed

Reproduction

Analysis started2024-05-10 23:23:36.963162
Analysis finished2024-05-10 23:23:56.974751
Duration20.01 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
3240000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 10000
100.0%

Length

2024-05-10T23:23:57.183769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:23:57.527906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2639
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129696
Minimum20001227
Maximum43080204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:23:57.931500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20001227
5-th percentile20041018
Q120090325
median20121011
Q320161215
95-th percentile20230720
Maximum43080204
Range23078977
Interquartile range (IQR)70890

Descriptive statistics

Standard deviation235700.64
Coefficient of variation (CV)0.011709101
Kurtosis8992.6065
Mean20129696
Median Absolute Deviation (MAD)39808
Skewness92.348216
Sum2.0129696 × 1011
Variance5.5554791 × 1010
MonotonicityNot monotonic
2024-05-10T23:23:58.477684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120705 124
 
1.2%
20120501 118
 
1.2%
20140609 94
 
0.9%
20051117 92
 
0.9%
20230720 91
 
0.9%
20201202 66
 
0.7%
20150424 64
 
0.6%
20230322 61
 
0.6%
20121226 58
 
0.6%
20120814 52
 
0.5%
Other values (2629) 9180
91.8%
ValueCountFrequency (%)
20001227 1
< 0.1%
20010315 1
< 0.1%
20010613 1
< 0.1%
20010817 1
< 0.1%
20010910 1
< 0.1%
20011009 1
< 0.1%
20011019 1
< 0.1%
20011103 1
< 0.1%
20011110 1
< 0.1%
20011112 1
< 0.1%
ValueCountFrequency (%)
43080204 1
 
< 0.1%
20240409 1
 
< 0.1%
20240408 1
 
< 0.1%
20240328 2
 
< 0.1%
20240323 1
 
< 0.1%
20240306 1
 
< 0.1%
20240305 1
 
< 0.1%
20240229 1
 
< 0.1%
20240223 1
 
< 0.1%
20240221 19
0.2%

교부번호
Text

Distinct5430
Distinct (%)54.3%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-10T23:23:59.503838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.091346
Min length1

Characters and Unicode

Total characters100863
Distinct characters15
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

Unique3574 ?
Unique (%)35.8%

Sample

1st row20050120413
2nd row20020121007
3rd row20010120719
4th row20070120295
5th row19960121100
ValueCountFrequency (%)
개설통보 50
 
0.5%
20010120054 42
 
0.4%
20050121038 39
 
0.4%
20080120279 25
 
0.3%
20000120950 22
 
0.2%
20030121201 20
 
0.2%
19990120839 19
 
0.2%
20160120433 19
 
0.2%
20060120348 19
 
0.2%
20110120803 18
 
0.2%
Other values (5420) 9722
97.3%
2024-05-10T23:24:01.106055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31549
31.3%
2 19635
19.5%
1 19591
19.4%
9 7370
 
7.3%
4 4124
 
4.1%
3 3932
 
3.9%
8 3826
 
3.8%
5 3655
 
3.6%
7 3398
 
3.4%
6 3352
 
3.3%
Other values (5) 431
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100432
99.6%
Dash Punctuation 231
 
0.2%
Other Letter 200
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31549
31.4%
2 19635
19.6%
1 19591
19.5%
9 7370
 
7.3%
4 4124
 
4.1%
3 3932
 
3.9%
8 3826
 
3.8%
5 3655
 
3.6%
7 3398
 
3.4%
6 3352
 
3.3%
Other Letter
ValueCountFrequency (%)
개 50
25.0%
설 50
25.0%
통 50
25.0%
보 50
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100663
99.8%
Hangul 200
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31549
31.3%
2 19635
19.5%
1 19591
19.5%
9 7370
 
7.3%
4 4124
 
4.1%
3 3932
 
3.9%
8 3826
 
3.8%
5 3655
 
3.6%
7 3398
 
3.4%
6 3352
 
3.3%
Hangul
ValueCountFrequency (%)
개 50
25.0%
설 50
25.0%
통 50
25.0%
보 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100663
99.8%
Hangul 200
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31549
31.3%
2 19635
19.5%
1 19591
19.5%
9 7370
 
7.3%
4 4124
 
4.1%
3 3932
 
3.9%
8 3826
 
3.8%
5 3655
 
3.6%
7 3398
 
3.4%
6 3352
 
3.3%
Hangul
ValueCountFrequency (%)
개 50
25.0%
설 50
25.0%
통 50
25.0%
보 50
25.0%

업종명
Categorical

Distinct38
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
5508 
휴게음식점
 
522
즉석판매제조가공업
 
486
유흥주점영업
 
380
식품제조가공업
 
371
Other values (33)
2733 

Length

Max length23
Median length5
Mean length5.6753
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row일반음식점
2nd row유통전문판매업
3rd row휴게음식점
4th row집단급식소
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 5508
55.1%
휴게음식점 522
 
5.2%
즉석판매제조가공업 486
 
4.9%
유흥주점영업 380
 
3.8%
식품제조가공업 371
 
3.7%
단란주점 348
 
3.5%
건강기능식품일반판매업 316
 
3.2%
숙박업(일반) 276
 
2.8%
위생관리용역업 235
 
2.4%
식품등 수입판매업 206
 
2.1%
Other values (28) 1352
 
13.5%

Length

2024-05-10T23:24:01.702942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5508
53.7%
휴게음식점 522
 
5.1%
즉석판매제조가공업 486
 
4.7%
유흥주점영업 380
 
3.7%
식품제조가공업 371
 
3.6%
단란주점 348
 
3.4%
건강기능식품일반판매업 316
 
3.1%
숙박업(일반 276
 
2.7%
위생관리용역업 235
 
2.3%
식품등 206
 
2.0%
Other values (23) 1605
 
15.7%

업태명
Text

Distinct86
Distinct (%)0.9%
Missing25
Missing (%)0.2%
Memory size156.2 KiB
2024-05-10T23:24:02.240466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.3803509
Min length2

Characters and Unicode

Total characters43694
Distinct characters166
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row분식
2nd row유통전문판매업
3rd row다방
4th row병원
5th row정종/대포집/소주방
ValueCountFrequency (%)
한식 2452
23.9%
호프/통닭 1070
 
10.4%
즉석판매제조가공업 486
 
4.7%
식품제조가공업 371
 
3.6%
단란주점 348
 
3.4%
룸살롱 326
 
3.2%
기타 287
 
2.8%
분식 283
 
2.8%
여관업 245
 
2.4%
통닭(치킨 240
 
2.3%
Other values (77) 4160
40.5%
2024-05-10T23:24:03.241934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4276
 
9.8%
업 3207
 
7.3%
한 2458
 
5.6%
통 1517
 
3.5%
/ 1354
 
3.1%
매 1349
 
3.1%
판 1347
 
3.1%
닭 1310
 
3.0%
호 1087
 
2.5%
프 1070
 
2.4%
Other values (156) 24719
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41271
94.5%
Other Punctuation 1363
 
3.1%
Open Punctuation 340
 
0.8%
Close Punctuation 340
 
0.8%
Space Separator 293
 
0.7%
Math Symbol 87
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4276
 
10.4%
업 3207
 
7.8%
한 2458
 
6.0%
통 1517
 
3.7%
매 1349
 
3.3%
판 1347
 
3.3%
닭 1310
 
3.2%
호 1087
 
2.6%
프 1070
 
2.6%
제 1026
 
2.5%
Other values (150) 22624
54.8%
Other Punctuation
ValueCountFrequency (%)
/ 1354
99.3%
, 9
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 340
100.0%
Space Separator
ValueCountFrequency (%)
293
100.0%
Math Symbol
ValueCountFrequency (%)
+ 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41271
94.5%
Common 2423
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4276
 
10.4%
업 3207
 
7.8%
한 2458
 
6.0%
통 1517
 
3.7%
매 1349
 
3.3%
판 1347
 
3.3%
닭 1310
 
3.2%
호 1087
 
2.6%
프 1070
 
2.6%
제 1026
 
2.5%
Other values (150) 22624
54.8%
Common
ValueCountFrequency (%)
/ 1354
55.9%
( 340
 
14.0%
) 340
 
14.0%
293
 
12.1%
+ 87
 
3.6%
, 9
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41271
94.5%
ASCII 2423
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4276
 
10.4%
업 3207
 
7.8%
한 2458
 
6.0%
통 1517
 
3.7%
매 1349
 
3.3%
판 1347
 
3.3%
닭 1310
 
3.2%
호 1087
 
2.6%
프 1070
 
2.6%
제 1026
 
2.5%
Other values (150) 22624
54.8%
ASCII
ValueCountFrequency (%)
/ 1354
55.9%
( 340
 
14.0%
) 340
 
14.0%
293
 
12.1%
+ 87
 
3.6%
, 9
 
0.4%

업소명
Text

Distinct5441
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:24:03.875836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length5.5629
Min length1

Characters and Unicode

Total characters55629
Distinct characters985
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

Unique3532 ?
Unique (%)35.3%

Sample

1st row베테랑김밥
2nd row(주)영진약품판매
3rd row청제
4th row리더스병원
5th row베네스트
ValueCountFrequency (%)
주식회사 71
 
0.6%
천호점 63
 
0.6%
투다리 41
 
0.4%
신흥생고기 39
 
0.3%
24시북경 34
 
0.3%
김밥천국 31
 
0.3%
길동점 30
 
0.3%
성농찬 25
 
0.2%
하이파이브(hi-five 22
 
0.2%
청진동해장국 20
 
0.2%
Other values (5832) 10916
96.7%
2024-05-10T23:24:05.075149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1340
 
2.4%
1298
 
2.3%
주 1091
 
2.0%
스 1023
 
1.8%
) 965
 
1.7%
점 960
 
1.7%
( 956
 
1.7%
리 898
 
1.6%
식 696
 
1.3%
마 603
 
1.1%
Other values (975) 45799
82.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49655
89.3%
Space Separator 1298
 
2.3%
Uppercase Letter 1104
 
2.0%
Close Punctuation 965
 
1.7%
Open Punctuation 956
 
1.7%
Lowercase Letter 854
 
1.5%
Decimal Number 570
 
1.0%
Other Punctuation 158
 
0.3%
Dash Punctuation 59
 
0.1%
Letter Number 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1340
 
2.7%
주 1091
 
2.2%
스 1023
 
2.1%
점 960
 
1.9%
리 898
 
1.8%
식 696
 
1.4%
마 603
 
1.2%
호 578
 
1.2%
동 563
 
1.1%
사 547
 
1.1%
Other values (896) 41356
83.3%
Uppercase Letter
ValueCountFrequency (%)
O 92
 
8.3%
A 87
 
7.9%
I 81
 
7.3%
M 75
 
6.8%
C 71
 
6.4%
P 67
 
6.1%
S 63
 
5.7%
B 63
 
5.7%
T 61
 
5.5%
E 53
 
4.8%
Other values (16) 391
35.4%
Lowercase Letter
ValueCountFrequency (%)
e 116
13.6%
i 105
12.3%
a 104
12.2%
n 63
 
7.4%
f 59
 
6.9%
c 49
 
5.7%
o 47
 
5.5%
l 45
 
5.3%
r 40
 
4.7%
w 26
 
3.0%
Other values (15) 200
23.4%
Other Punctuation
ValueCountFrequency (%)
& 53
33.5%
. 38
24.1%
, 20
 
12.7%
' 11
 
7.0%
; 11
 
7.0%
？ 11
 
7.0%
! 4
 
2.5%
/ 3
 
1.9%
? 3
 
1.9%
# 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 121
21.2%
0 117
20.5%
1 83
14.6%
4 58
10.2%
8 46
 
8.1%
9 43
 
7.5%
5 33
 
5.8%
3 30
 
5.3%
7 29
 
5.1%
6 10
 
1.8%
Space Separator
ValueCountFrequency (%)
1298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 965
100.0%
Open Punctuation
ValueCountFrequency (%)
( 956
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49625
89.2%
Common 4009
 
7.2%
Latin 1965
 
3.5%
Han 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1340
 
2.7%
주 1091
 
2.2%
스 1023
 
2.1%
점 960
 
1.9%
리 898
 
1.8%
식 696
 
1.4%
마 603
 
1.2%
호 578
 
1.2%
동 563
 
1.1%
사 547
 
1.1%
Other values (874) 41326
83.3%
Latin
ValueCountFrequency (%)
e 116
 
5.9%
i 105
 
5.3%
a 104
 
5.3%
O 92
 
4.7%
A 87
 
4.4%
I 81
 
4.1%
M 75
 
3.8%
C 71
 
3.6%
P 67
 
3.4%
S 63
 
3.2%
Other values (42) 1104
56.2%
Common
ValueCountFrequency (%)
1298
32.4%
) 965
24.1%
( 956
23.8%
2 121
 
3.0%
0 117
 
2.9%
1 83
 
2.1%
- 59
 
1.5%
4 58
 
1.4%
& 53
 
1.3%
8 46
 
1.1%
Other values (17) 253
 
6.3%
Han
ValueCountFrequency (%)
辛 2
 
6.7%
木 2
 
6.7%
水 2
 
6.7%
火 2
 
6.7%
眞 2
 
6.7%
房 2
 
6.7%
茶 2
 
6.7%
美 2
 
6.7%
鎭 1
 
3.3%
胡 1
 
3.3%
Other values (12) 12
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49625
89.2%
ASCII 5955
 
10.7%
CJK 30
 
0.1%
None 11
 
< 0.1%
Number Forms 7
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1340
 
2.7%
주 1091
 
2.2%
스 1023
 
2.1%
점 960
 
1.9%
리 898
 
1.8%
식 696
 
1.4%
마 603
 
1.2%
호 578
 
1.2%
동 563
 
1.1%
사 547
 
1.1%
Other values (874) 41326
83.3%
ASCII
ValueCountFrequency (%)
1298
21.8%
) 965
16.2%
( 956
16.1%
2 121
 
2.0%
0 117
 
2.0%
e 116
 
1.9%
i 105
 
1.8%
a 104
 
1.7%
O 92
 
1.5%
A 87
 
1.5%
Other values (66) 1994
33.5%
None
ValueCountFrequency (%)
？ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
100.0%
CJK
ValueCountFrequency (%)
辛 2
 
6.7%
木 2
 
6.7%
水 2
 
6.7%
火 2
 
6.7%
眞 2
 
6.7%
房 2
 
6.7%
茶 2
 
6.7%
美 2
 
6.7%
鎭 1
 
3.3%
胡 1
 
3.3%
Other values (12) 12
40.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

소재지도로명
Text

MISSING 

Distinct4394
Distinct (%)46.1%
Missing459
Missing (%)4.6%
Memory size156.2 KiB
2024-05-10T23:24:05.764488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length59
Mean length29.310135
Min length22

Characters and Unicode

Total characters279648
Distinct characters372
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2535 ?
Unique (%)26.6%

Sample

1st row서울특별시 강동구 명일로 197, (길동)
2nd row서울특별시 강동구 조정대로43번길 25, (상일동)
3rd row서울특별시 강동구 상암로4길 52, (암사동)
4th row서울특별시 강동구 천호대로 1044, (성내동)
5th row서울특별시 강동구 올림픽로70길 60, (천호동)
ValueCountFrequency (%)
서울특별시 9541
 
18.4%
강동구 9541
 
18.4%
천호동 1965
 
3.8%
성내동 1735
 
3.3%
길동 1332
 
2.6%
1층 804
 
1.6%
암사동 762
 
1.5%
양재대로 727
 
1.4%
명일동 634
 
1.2%
천호대로 608
 
1.2%
Other values (2827) 24176
46.6%
2024-05-10T23:24:06.901394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42319
 
15.1%
동 19915
 
7.1%
, 12976
 
4.6%
1 12393
 
4.4%
구 10455
 
3.7%
) 10089
 
3.6%
( 10089
 
3.6%
강 9943
 
3.6%
시 9603
 
3.4%
서 9575
 
3.4%
Other values (362) 132291
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158101
56.5%
Decimal Number 44950
 
16.1%
Space Separator 42319
 
15.1%
Other Punctuation 13003
 
4.6%
Close Punctuation 10089
 
3.6%
Open Punctuation 10089
 
3.6%
Dash Punctuation 857
 
0.3%
Uppercase Letter 171
 
0.1%
Math Symbol 43
 
< 0.1%
Lowercase Letter 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 19915
 
12.6%
구 10455
 
6.6%
강 9943
 
6.3%
시 9603
 
6.1%
서 9575
 
6.1%
울 9567
 
6.1%
특 9541
 
6.0%
별 9541
 
6.0%
로 9314
 
5.9%
길 6859
 
4.3%
Other values (307) 53788
34.0%
Uppercase Letter
ValueCountFrequency (%)
B 65
38.0%
A 20
 
11.7%
S 20
 
11.7%
G 16
 
9.4%
K 10
 
5.8%
P 6
 
3.5%
D 5
 
2.9%
N 5
 
2.9%
C 4
 
2.3%
F 4
 
2.3%
Other values (9) 16
 
9.4%
Lowercase Letter
ValueCountFrequency (%)
n 3
11.5%
i 3
11.5%
t 3
11.5%
l 3
11.5%
o 2
 
7.7%
a 2
 
7.7%
g 2
 
7.7%
y 1
 
3.8%
x 1
 
3.8%
k 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
1 12393
27.6%
2 5234
11.6%
5 4190
 
9.3%
3 4150
 
9.2%
0 4090
 
9.1%
4 3428
 
7.6%
7 3422
 
7.6%
6 2777
 
6.2%
8 2692
 
6.0%
9 2574
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 12976
99.8%
. 16
 
0.1%
/ 4
 
< 0.1%
@ 3
 
< 0.1%
; 2
 
< 0.1%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
42319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10089
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10089
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 857
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158101
56.5%
Common 121350
43.4%
Latin 197
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 19915
 
12.6%
구 10455
 
6.6%
강 9943
 
6.3%
시 9603
 
6.1%
서 9575
 
6.1%
울 9567
 
6.1%
특 9541
 
6.0%
별 9541
 
6.0%
로 9314
 
5.9%
길 6859
 
4.3%
Other values (307) 53788
34.0%
Latin
ValueCountFrequency (%)
B 65
33.0%
A 20
 
10.2%
S 20
 
10.2%
G 16
 
8.1%
K 10
 
5.1%
P 6
 
3.0%
D 5
 
2.5%
N 5
 
2.5%
C 4
 
2.0%
F 4
 
2.0%
Other values (24) 42
21.3%
Common
ValueCountFrequency (%)
42319
34.9%
, 12976
 
10.7%
1 12393
 
10.2%
) 10089
 
8.3%
( 10089
 
8.3%
2 5234
 
4.3%
5 4190
 
3.5%
3 4150
 
3.4%
0 4090
 
3.4%
4 3428
 
2.8%
Other values (11) 12392
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158101
56.5%
ASCII 121547
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42319
34.8%
, 12976
 
10.7%
1 12393
 
10.2%
) 10089
 
8.3%
( 10089
 
8.3%
2 5234
 
4.3%
5 4190
 
3.4%
3 4150
 
3.4%
0 4090
 
3.4%
4 3428
 
2.8%
Other values (45) 12589
 
10.4%
Hangul
ValueCountFrequency (%)
동 19915
 
12.6%
구 10455
 
6.6%
강 9943
 
6.3%
시 9603
 
6.1%
서 9575
 
6.1%
울 9567
 
6.1%
특 9541
 
6.0%
별 9541
 
6.0%
로 9314
 
5.9%
길 6859
 
4.3%
Other values (307) 53788
34.0%

소재지지번
Text

Distinct4488
Distinct (%)44.9%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-10T23:24:07.758132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length60
Mean length27.472589
Min length15

Characters and Unicode

Total characters274616
Distinct characters372
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2521 ?
Unique (%)25.2%

Sample

1st row서울특별시 강동구 길동 252번지 100호
2nd row서울특별시 강동구 상일동 21번지 1호
3rd row서울특별시 강동구 암사동 514번지 55호
4th row서울특별시 강동구 성내동 13번지 9호
5th row서울특별시 강동구 천호동 454번지 59호
ValueCountFrequency (%)
서울특별시 9996
18.4%
강동구 9996
18.4%
천호동 2813
 
5.2%
성내동 2283
 
4.2%
길동 1788
 
3.3%
1호 1010
 
1.9%
암사동 989
 
1.8%
명일동 957
 
1.8%
1층 731
 
1.3%
2호 699
 
1.3%
Other values (2083) 23029
42.4%
2024-05-10T23:24:09.202401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70348
25.6%
동 20296
 
7.4%
호 13021
 
4.7%
지 10813
 
3.9%
강 10276
 
3.7%
시 10061
 
3.7%
서 10030
 
3.7%
울 10022
 
3.6%
구 10019
 
3.6%
별 10008
 
3.6%
Other values (362) 99722
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151388
55.1%
Space Separator 70348
25.6%
Decimal Number 50255
 
18.3%
Dash Punctuation 666
 
0.2%
Open Punctuation 596
 
0.2%
Close Punctuation 596
 
0.2%
Other Punctuation 540
 
0.2%
Uppercase Letter 180
 
0.1%
Lowercase Letter 32
 
< 0.1%
Math Symbol 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20296
13.4%
호 13021
 
8.6%
지 10813
 
7.1%
강 10276
 
6.8%
시 10061
 
6.6%
서 10030
 
6.6%
울 10022
 
6.6%
구 10019
 
6.6%
별 10008
 
6.6%
번 10003
 
6.6%
Other values (309) 36839
24.3%
Uppercase Letter
ValueCountFrequency (%)
B 55
30.6%
S 24
13.3%
G 24
13.3%
A 23
12.8%
K 11
 
6.1%
P 6
 
3.3%
M 6
 
3.3%
D 5
 
2.8%
N 5
 
2.8%
L 4
 
2.2%
Other values (7) 17
 
9.4%
Lowercase Letter
ValueCountFrequency (%)
l 5
15.6%
i 5
15.6%
t 5
15.6%
n 3
9.4%
o 2
 
6.2%
e 2
 
6.2%
a 2
 
6.2%
g 1
 
3.1%
k 1
 
3.1%
y 1
 
3.1%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
1 9803
19.5%
4 8201
16.3%
2 6417
12.8%
3 6237
12.4%
5 5104
10.2%
0 4075
8.1%
6 2830
 
5.6%
8 2777
 
5.5%
9 2468
 
4.9%
7 2343
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 513
95.0%
. 15
 
2.8%
@ 4
 
0.7%
/ 4
 
0.7%
; 2
 
0.4%
& 2
 
0.4%
Space Separator
ValueCountFrequency (%)
70348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 596
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151388
55.1%
Common 123016
44.8%
Latin 212
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20296
13.4%
호 13021
 
8.6%
지 10813
 
7.1%
강 10276
 
6.8%
시 10061
 
6.6%
서 10030
 
6.6%
울 10022
 
6.6%
구 10019
 
6.6%
별 10008
 
6.6%
번 10003
 
6.6%
Other values (309) 36839
24.3%
Latin
ValueCountFrequency (%)
B 55
25.9%
S 24
11.3%
G 24
11.3%
A 23
10.8%
K 11
 
5.2%
P 6
 
2.8%
M 6
 
2.8%
l 5
 
2.4%
i 5
 
2.4%
D 5
 
2.4%
Other values (22) 48
22.6%
Common
ValueCountFrequency (%)
70348
57.2%
1 9803
 
8.0%
4 8201
 
6.7%
2 6417
 
5.2%
3 6237
 
5.1%
5 5104
 
4.1%
0 4075
 
3.3%
6 2830
 
2.3%
8 2777
 
2.3%
9 2468
 
2.0%
Other values (11) 4756
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151388
55.1%
ASCII 123228
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70348
57.1%
1 9803
 
8.0%
4 8201
 
6.7%
2 6417
 
5.2%
3 6237
 
5.1%
5 5104
 
4.1%
0 4075
 
3.3%
6 2830
 
2.3%
8 2777
 
2.3%
9 2468
 
2.0%
Other values (43) 4968
 
4.0%
Hangul
ValueCountFrequency (%)
동 20296
13.4%
호 13021
 
8.6%
지 10813
 
7.1%
강 10276
 
6.8%
시 10061
 
6.6%
서 10030
 
6.6%
울 10022
 
6.6%
구 10019
 
6.6%
별 10008
 
6.6%
번 10003
 
6.6%
Other values (309) 36839
24.3%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2909
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126198
Minimum20000716
Maximum20240306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:24:09.732447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000716
5-th percentile20040811
Q120090219
median20120611
Q320161103
95-th percentile20230703
Maximum20240306
Range239590
Interquartile range (IQR)70884

Descriptive statistics

Standard deviation53549.301
Coefficient of variation (CV)0.0026606764
Kurtosis-0.56973188
Mean20126198
Median Absolute Deviation (MAD)39720
Skewness0.18501122
Sum2.0126198 × 1011
Variance2.8675276 × 109
MonotonicityNot monotonic
2024-05-10T23:24:10.386050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120611 169
 
1.7%
20230703 153
 
1.5%
20120320 108
 
1.1%
20230720 107
 
1.1%
20050712 90
 
0.9%
20170116 73
 
0.7%
20140513 72
 
0.7%
20230919 66
 
0.7%
20201013 62
 
0.6%
20230214 60
 
0.6%
Other values (2899) 9040
90.4%
ValueCountFrequency (%)
20000716 1
< 0.1%
20000918 1
< 0.1%
20001227 1
< 0.1%
20010222 1
< 0.1%
20010316 1
< 0.1%
20010722 1
< 0.1%
20010727 1
< 0.1%
20010802 1
< 0.1%
20010804 1
< 0.1%
20010915 1
< 0.1%
ValueCountFrequency (%)
20240306 1
 
< 0.1%
20240214 2
 
< 0.1%
20240213 1
 
< 0.1%
20240206 1
 
< 0.1%
20240129 1
 
< 0.1%
20240118 2
 
< 0.1%
20240117 1
 
< 0.1%
20240110 30
0.3%
20240101 1
 
< 0.1%
20231231 2
 
< 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

2024-05-10T23:24:10.864109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:24:11.233214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct875
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:24:11.721567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length61
Mean length6.8739
Min length2

Characters and Unicode

Total characters68739
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)5.6%

Sample

1st row과태료부과20만원
2nd row시정명령
3rd row과징금부과
4th row과태료부과 240,000원(사전통지기간 중 자진납부)
5th row50만원및 영업정지20일(2010.07.23~8.11)
ValueCountFrequency (%)
과태료부과 2545
20.0%
영업소폐쇄 1908
15.0%
시정명령 1349
 
10.6%
영업정지 1210
 
9.5%
과징금부과 363
 
2.8%
20만원 301
 
2.4%
시설개수명령 299
 
2.3%
경고 271
 
2.1%
과태료 233
 
1.8%
및 195
 
1.5%
Other values (968) 4067
31.9%
2024-05-10T23:24:13.015963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8057
 
11.7%
부 4109
 
6.0%
업 3836
 
5.6%
영 3757
 
5.5%
료 3392
 
4.9%
태 3340
 
4.9%
정 3241
 
4.7%
2775
 
4.0%
0 2662
 
3.9%
소 2238
 
3.3%
Other values (213) 31332
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55173
80.3%
Decimal Number 7831
 
11.4%
Space Separator 2775
 
4.0%
Other Punctuation 1099
 
1.6%
Open Punctuation 839
 
1.2%
Close Punctuation 835
 
1.2%
Math Symbol 154
 
0.2%
Dash Punctuation 32
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (185) 19171
34.7%
Decimal Number
ValueCountFrequency (%)
0 2662
34.0%
2 1747
22.3%
1 1271
16.2%
3 410
 
5.2%
5 399
 
5.1%
6 376
 
4.8%
4 357
 
4.6%
8 247
 
3.2%
7 192
 
2.5%
9 170
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 760
69.2%
, 297
 
27.0%
: 20
 
1.8%
% 17
 
1.5%
/ 3
 
0.3%
; 1
 
0.1%
？ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 144
93.5%
+ 7
 
4.5%
× 2
 
1.3%
= 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 836
99.6%
[ 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 832
99.6%
] 3
 
0.4%
Space Separator
ValueCountFrequency (%)
2775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55173
80.3%
Common 13565
 
19.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (185) 19171
34.7%
Common
ValueCountFrequency (%)
2775
20.5%
0 2662
19.6%
2 1747
12.9%
1 1271
9.4%
( 836
 
6.2%
) 832
 
6.1%
. 760
 
5.6%
3 410
 
3.0%
5 399
 
2.9%
6 376
 
2.8%
Other values (17) 1497
11.0%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55159
80.2%
ASCII 13563
 
19.7%
Compat Jamo 14
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (184) 19157
34.7%
ASCII
ValueCountFrequency (%)
2775
20.5%
0 2662
19.6%
2 1747
12.9%
1 1271
9.4%
( 836
 
6.2%
) 832
 
6.1%
. 760
 
5.6%
3 410
 
3.0%
5 399
 
2.9%
6 376
 
2.8%
Other values (16) 1495
11.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 14
100.0%
None
ValueCountFrequency (%)
× 2
66.7%
？ 1
33.3%

법적근거
Text

Distinct948
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:24:13.769269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length14.6863
Min length2

Characters and Unicode

Total characters146863
Distinct characters170
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)4.8%

Sample

1st row식품위생법제26조
2nd row식위법 제10조
3rd row식품위생법 제44조 제1항, 제75조 제1항 제13호
4th row법 제18조제1항
5th row식품위생법 제44조 제2항 제4호, 동법 제75조 제1항 제13호
ValueCountFrequency (%)
법 5284
 
17.6%
식품위생법 3308
 
11.0%
및 1978
 
6.6%
제75조 1686
 
5.6%
제71조 1111
 
3.7%
제1항 826
 
2.7%
제37조 773
 
2.6%
제36조 647
 
2.1%
공중위생관리법 586
 
1.9%
제101조제2항제1호 534
 
1.8%
Other values (719) 13367
44.4%
2024-05-10T23:24:15.260493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20121
13.7%
제 18858
12.8%
조 14246
 
9.7%
법 12147
 
8.3%
1 9074
 
6.2%
7 7113
 
4.8%
위 6549
 
4.5%
식 5677
 
3.9%
생 5527
 
3.8%
품 4760
 
3.2%
Other values (160) 42791
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87972
59.9%
Decimal Number 35838
24.4%
Space Separator 20121
 
13.7%
Other Punctuation 2344
 
1.6%
Close Punctuation 294
 
0.2%
Open Punctuation 294
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 18858
21.4%
조 14246
16.2%
법 12147
13.8%
위 6549
 
7.4%
식 5677
 
6.5%
생 5527
 
6.3%
품 4760
 
5.4%
항 4613
 
5.2%
및 2095
 
2.4%
호 2062
 
2.3%
Other values (142) 11438
13.0%
Decimal Number
ValueCountFrequency (%)
1 9074
25.3%
7 7113
19.8%
4 3543
 
9.9%
2 3469
 
9.7%
3 3454
 
9.6%
5 3308
 
9.2%
6 2099
 
5.9%
0 1887
 
5.3%
8 1536
 
4.3%
9 355
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 2278
97.2%
. 64
 
2.7%
？ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 287
97.6%
] 7
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 287
97.6%
[ 7
 
2.4%
Space Separator
ValueCountFrequency (%)
20121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87972
59.9%
Common 58891
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 18858
21.4%
조 14246
16.2%
법 12147
13.8%
위 6549
 
7.4%
식 5677
 
6.5%
생 5527
 
6.3%
품 4760
 
5.4%
항 4613
 
5.2%
및 2095
 
2.4%
호 2062
 
2.3%
Other values (142) 11438
13.0%
Common
ValueCountFrequency (%)
20121
34.2%
1 9074
15.4%
7 7113
 
12.1%
4 3543
 
6.0%
2 3469
 
5.9%
3 3454
 
5.9%
5 3308
 
5.6%
, 2278
 
3.9%
6 2099
 
3.6%
0 1887
 
3.2%
Other values (8) 2545
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87966
59.9%
ASCII 58889
40.1%
Compat Jamo 6
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20121
34.2%
1 9074
15.4%
7 7113
 
12.1%
4 3543
 
6.0%
2 3469
 
5.9%
3 3454
 
5.9%
5 3308
 
5.6%
, 2278
 
3.9%
6 2099
 
3.6%
0 1887
 
3.2%
Other values (7) 2543
 
4.3%
Hangul
ValueCountFrequency (%)
제 18858
21.4%
조 14246
16.2%
법 12147
13.8%
위 6549
 
7.4%
식 5677
 
6.5%
생 5527
 
6.3%
품 4760
 
5.4%
항 4613
 
5.2%
및 2095
 
2.4%
호 2062
 
2.3%
Other values (139) 11432
13.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 4
66.7%
ㅗ 1
 
16.7%
ㅍ 1
 
16.7%
None
ValueCountFrequency (%)
？ 2
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3029
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120058
Minimum2004040
Maximum20440729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:24:15.711807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004040
5-th percentile20040910
Q120090219
median20120612
Q320161020
95-th percentile20221231
Maximum20440729
Range18436689
Interquartile range (IQR)70801

Descriptive statistics

Standard deviation317941.4
Coefficient of variation (CV)0.015802211
Kurtosis3149.9716
Mean20120058
Median Absolute Deviation (MAD)39704.5
Skewness-55.36107
Sum2.0120058 × 1011
Variance1.0108673 × 1011
MonotonicityNot monotonic
2024-05-10T23:24:16.328997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221231 243
 
2.4%
20120611 168
 
1.7%
20230101 148
 
1.5%
20120320 114
 
1.1%
20131231 99
 
1.0%
20050712 86
 
0.9%
20170116 80
 
0.8%
20201013 66
 
0.7%
20191231 57
 
0.6%
20170126 56
 
0.6%
Other values (3019) 8883
88.8%
ValueCountFrequency (%)
2004040 1
< 0.1%
2006122 1
< 0.1%
2051110 1
< 0.1%
20010206 1
< 0.1%
20010222 1
< 0.1%
20010316 1
< 0.1%
20010722 1
< 0.1%
20010727 1
< 0.1%
20010802 1
< 0.1%
20010804 1
< 0.1%
ValueCountFrequency (%)
20440729 1
 
< 0.1%
20240306 1
 
< 0.1%
20240213 1
 
< 0.1%
20240206 2
 
< 0.1%
20240201 1
 
< 0.1%
20240118 2
 
< 0.1%
20240117 1
 
< 0.1%
20240116 1
 
< 0.1%
20240110 30
0.3%
20240101 1
 
< 0.1%

위반내용
Text

Distinct2958
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:24:16.954851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length339
Median length137
Mean length16.2267
Min length1

Characters and Unicode

Total characters162267
Distinct characters743
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1894 ?
Unique (%)18.9%

Sample

1st row건강진단미필(종사원1/3)
2nd row원재료성분과 다른 내용의 표기
3rd row휴게음식점 영업주가 손님에게 음주를 허용하게 함.
4th row쌀의 원산지표시 미게시
5th row청소년에게 주류를 제공
ValueCountFrequency (%)
위생교육 961
 
2.9%
미이수 776
 
2.3%
건강진단 466
 
1.4%
미필 390
 
1.2%
영업주 373
 
1.1%
청소년주류제공 372
 
1.1%
및 365
 
1.1%
미실시 347
 
1.0%
휴업 345
 
1.0%
영업시설물 344
 
1.0%
Other values (5097) 28535
85.8%
2024-05-10T23:24:18.368686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23987
 
14.8%
업 5845
 
3.6%
미 3723
 
2.3%
2 3520
 
2.2%
영 3482
 
2.1%
위 3119
 
1.9%
1 2594
 
1.6%
이 2552
 
1.6%
0 2518
 
1.6%
시 2514
 
1.5%
Other values (733) 108413
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119208
73.5%
Space Separator 23987
 
14.8%
Decimal Number 11346
 
7.0%
Other Punctuation 2532
 
1.6%
Close Punctuation 2272
 
1.4%
Open Punctuation 2264
 
1.4%
Dash Punctuation 308
 
0.2%
Lowercase Letter 230
 
0.1%
Uppercase Letter 67
 
< 0.1%
Math Symbol 38
 
< 0.1%
Other values (5) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5845
 
4.9%
미 3723
 
3.1%
영 3482
 
2.9%
위 3119
 
2.6%
이 2552
 
2.1%
시 2514
 
2.1%
년 2282
 
1.9%
생 2263
 
1.9%
장 2079
 
1.7%
단 1987
 
1.7%
Other values (661) 89362
75.0%
Lowercase Letter
ValueCountFrequency (%)
m 51
22.2%
l 43
18.7%
g 21
9.1%
a 15
 
6.5%
w 13
 
5.7%
k 12
 
5.2%
y 12
 
5.2%
i 12
 
5.2%
f 10
 
4.3%
o 7
 
3.0%
Other values (10) 34
14.8%
Uppercase Letter
ValueCountFrequency (%)
U 12
17.9%
C 12
17.9%
T 11
16.4%
N 7
10.4%
L 6
9.0%
F 5
7.5%
H 3
 
4.5%
I 2
 
3.0%
A 2
 
3.0%
O 2
 
3.0%
Other values (4) 5
7.5%
Decimal Number
ValueCountFrequency (%)
2 3520
31.0%
1 2594
22.9%
0 2518
22.2%
6 717
 
6.3%
3 514
 
4.5%
4 364
 
3.2%
5 315
 
2.8%
7 287
 
2.5%
9 276
 
2.4%
8 241
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 1203
47.5%
, 702
27.7%
/ 320
 
12.6%
: 225
 
8.9%
* 32
 
1.3%
? 18
 
0.7%
% 14
 
0.6%
？ 9
 
0.4%
' 6
 
0.2%
; 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2252
99.1%
] 16
 
0.7%
」 4
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2244
99.1%
[ 16
 
0.7%
「 4
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 34
89.5%
→ 3
 
7.9%
+ 1
 
2.6%
Other Symbol
ValueCountFrequency (%)
㎡ 6
60.0%
℃ 2
 
20.0%
┛ 2
 
20.0%
Space Separator
ValueCountFrequency (%)
23987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119204
73.5%
Common 42762
 
26.4%
Latin 297
 
0.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5845
 
4.9%
미 3723
 
3.1%
영 3482
 
2.9%
위 3119
 
2.6%
이 2552
 
2.1%
시 2514
 
2.1%
년 2282
 
1.9%
생 2263
 
1.9%
장 2079
 
1.7%
단 1987
 
1.7%
Other values (659) 89358
75.0%
Common
ValueCountFrequency (%)
23987
56.1%
2 3520
 
8.2%
1 2594
 
6.1%
0 2518
 
5.9%
) 2252
 
5.3%
( 2244
 
5.2%
. 1203
 
2.8%
6 717
 
1.7%
, 702
 
1.6%
3 514
 
1.2%
Other values (28) 2511
 
5.9%
Latin
ValueCountFrequency (%)
m 51
17.2%
l 43
14.5%
g 21
 
7.1%
a 15
 
5.1%
w 13
 
4.4%
k 12
 
4.0%
U 12
 
4.0%
C 12
 
4.0%
y 12
 
4.0%
i 12
 
4.0%
Other values (24) 94
31.6%
Han
ValueCountFrequency (%)
囹 2
50.0%
河 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119172
73.4%
ASCII 43027
 
26.5%
Compat Jamo 32
 
< 0.1%
None 17
 
< 0.1%
CJK Compat 6
 
< 0.1%
CJK 4
 
< 0.1%
Arrows 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Box Drawing 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23987
55.7%
2 3520
 
8.2%
1 2594
 
6.0%
0 2518
 
5.9%
) 2252
 
5.2%
( 2244
 
5.2%
. 1203
 
2.8%
6 717
 
1.7%
, 702
 
1.6%
3 514
 
1.2%
Other values (53) 2776
 
6.5%
Hangul
ValueCountFrequency (%)
업 5845
 
4.9%
미 3723
 
3.1%
영 3482
 
2.9%
위 3119
 
2.6%
이 2552
 
2.1%
시 2514
 
2.1%
년 2282
 
1.9%
생 2263
 
1.9%
장 2079
 
1.7%
단 1987
 
1.7%
Other values (658) 89326
75.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 32
100.0%
None
ValueCountFrequency (%)
？ 9
52.9%
」 4
23.5%
「 4
23.5%
CJK Compat
ValueCountFrequency (%)
㎡ 6
100.0%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
Box Drawing
ValueCountFrequency (%)
┛ 2
100.0%
CJK
ValueCountFrequency (%)
囹 2
50.0%
河 2
50.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

처분내용
Text

Distinct875
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:24:19.036790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length61
Mean length6.8739
Min length2

Characters and Unicode

Total characters68739
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)5.6%

Sample

1st row과태료부과20만원
2nd row시정명령
3rd row과징금부과
4th row과태료부과 240,000원(사전통지기간 중 자진납부)
5th row50만원및 영업정지20일(2010.07.23~8.11)
ValueCountFrequency (%)
과태료부과 2545
20.0%
영업소폐쇄 1908
15.0%
시정명령 1349
 
10.6%
영업정지 1210
 
9.5%
과징금부과 363
 
2.8%
20만원 301
 
2.4%
시설개수명령 299
 
2.3%
경고 271
 
2.1%
과태료 233
 
1.8%
및 195
 
1.5%
Other values (968) 4067
31.9%
2024-05-10T23:24:20.710857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8057
 
11.7%
부 4109
 
6.0%
업 3836
 
5.6%
영 3757
 
5.5%
료 3392
 
4.9%
태 3340
 
4.9%
정 3241
 
4.7%
2775
 
4.0%
0 2662
 
3.9%
소 2238
 
3.3%
Other values (213) 31332
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55173
80.3%
Decimal Number 7831
 
11.4%
Space Separator 2775
 
4.0%
Other Punctuation 1099
 
1.6%
Open Punctuation 839
 
1.2%
Close Punctuation 835
 
1.2%
Math Symbol 154
 
0.2%
Dash Punctuation 32
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (185) 19171
34.7%
Decimal Number
ValueCountFrequency (%)
0 2662
34.0%
2 1747
22.3%
1 1271
16.2%
3 410
 
5.2%
5 399
 
5.1%
6 376
 
4.8%
4 357
 
4.6%
8 247
 
3.2%
7 192
 
2.5%
9 170
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 760
69.2%
, 297
 
27.0%
: 20
 
1.8%
% 17
 
1.5%
/ 3
 
0.3%
; 1
 
0.1%
？ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 144
93.5%
+ 7
 
4.5%
× 2
 
1.3%
= 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 836
99.6%
[ 3
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 832
99.6%
] 3
 
0.4%
Space Separator
ValueCountFrequency (%)
2775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55173
80.3%
Common 13565
 
19.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (185) 19171
34.7%
Common
ValueCountFrequency (%)
2775
20.5%
0 2662
19.6%
2 1747
12.9%
1 1271
9.4%
( 836
 
6.2%
) 832
 
6.1%
. 760
 
5.6%
3 410
 
3.0%
5 399
 
2.9%
6 376
 
2.8%
Other values (17) 1497
11.0%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55159
80.2%
ASCII 13563
 
19.7%
Compat Jamo 14
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8057
14.6%
부 4109
 
7.4%
업 3836
 
7.0%
영 3757
 
6.8%
료 3392
 
6.1%
태 3340
 
6.1%
정 3241
 
5.9%
소 2238
 
4.1%
폐 2046
 
3.7%
쇄 1986
 
3.6%
Other values (184) 19157
34.7%
ASCII
ValueCountFrequency (%)
2775
20.5%
0 2662
19.6%
2 1747
12.9%
1 1271
9.4%
( 836
 
6.2%
) 832
 
6.1%
. 760
 
5.6%
3 410
 
3.0%
5 399
 
2.9%
6 376
 
2.8%
Other values (16) 1495
11.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 14
100.0%
None
ValueCountFrequency (%)
× 2
66.7%
？ 1
33.3%

처분기간
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)3.2%
Missing9081
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean11.693145
Minimum0
Maximum45
Zeros33
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:24:21.366837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median15
Q315
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8583001
Coefficient of variation (CV)0.50100296
Kurtosis2.5926546
Mean11.693145
Median Absolute Deviation (MAD)5
Skewness0.74167224
Sum10746
Variance34.319681
MonotonicityNot monotonic
2024-05-10T23:24:21.891306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15 392
 
3.9%
7 306
 
3.1%
10 44
 
0.4%
0 33
 
0.3%
5 29
 
0.3%
20 23
 
0.2%
17 18
 
0.2%
25 9
 
0.1%
2 7
 
0.1%
23 7
 
0.1%
Other values (19) 51
 
0.5%
(Missing) 9081
90.8%
ValueCountFrequency (%)
0 33
 
0.3%
1 3
 
< 0.1%
2 7
 
0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 29
 
0.3%
6 1
 
< 0.1%
7 306
3.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
45 2
 
< 0.1%
40 1
 
< 0.1%
30 6
0.1%
29 4
< 0.1%
28 1
 
< 0.1%
27 2
 
< 0.1%
26 1
 
< 0.1%
25 9
0.1%
24 2
 
< 0.1%
23 7
0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct1981
Distinct (%)33.8%
Missing4138
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean144.81871
Minimum0
Maximum3696.09
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:24:22.640982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.5
Q130.18
median66.215
Q3130.7775
95-th percentile558.11
Maximum3696.09
Range3696.09
Interquartile range (IQR)100.5975

Descriptive statistics

Standard deviation270.43541
Coefficient of variation (CV)1.8674066
Kurtosis37.186935
Mean144.81871
Median Absolute Deviation (MAD)39.815
Skewness5.2914091
Sum848927.28
Variance73135.311
MonotonicityNot monotonic
2024-05-10T23:24:23.451817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.4 170
 
1.7%
99.0 98
 
1.0%
66.0 98
 
1.0%
29.7 95
 
0.9%
23.1 94
 
0.9%
33.0 68
 
0.7%
49.5 51
 
0.5%
132.0 46
 
0.5%
19.8 44
 
0.4%
82.5 44
 
0.4%
Other values (1971) 5054
50.5%
(Missing) 4138
41.4%
ValueCountFrequency (%)
0.0 17
0.2%
1.62 1
 
< 0.1%
1.65 1
 
< 0.1%
3.0 2
 
< 0.1%
3.3 7
0.1%
3.55 1
 
< 0.1%
3.75 1
 
< 0.1%
4.0 1
 
< 0.1%
4.4 2
 
< 0.1%
4.44 2
 
< 0.1%
ValueCountFrequency (%)
3696.09 1
 
< 0.1%
3209.0 1
 
< 0.1%
2983.87 1
 
< 0.1%
2956.75 3
 
< 0.1%
2774.85 1
 
< 0.1%
2463.47 6
0.1%
2228.0 1
 
< 0.1%
2224.98 8
0.1%
1980.0 6
0.1%
1874.0 1
 
< 0.1%

Interactions

2024-05-10T23:23:52.760714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:44.069361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:46.254752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:48.945580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:50.830931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:53.120742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:44.438981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:46.785996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:49.243317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:51.137677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:53.553247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:44.884094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:47.362873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:49.658552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:51.619801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:53.977715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:45.238786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:47.887640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:50.024304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:52.000319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:54.354510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:45.655315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:48.573472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:50.394171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:23:52.340092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:24:24.170721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.0670.0000.0740.000NaN0.000
업종명0.0671.0000.9970.4780.0000.5540.586
업태명0.0000.9971.0000.5660.0000.5960.777
지도점검일자0.0740.4780.5661.0000.0310.3550.141
위반일자0.0000.0000.0000.0311.000NaN0.000
처분기간NaN0.5540.5960.355NaN1.0000.220
영업장면적(㎡)0.0000.5860.7770.1410.0000.2201.000
2024-05-10T23:24:24.549130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9980.997-0.089-0.0510.053
지도점검일자0.9981.0000.999-0.088-0.0510.187
위반일자0.9970.9991.000-0.090-0.0500.000
처분기간-0.089-0.088-0.0901.0000.0310.249
영업장면적(㎡)-0.051-0.051-0.0500.0311.0000.248
업종명0.0530.1870.0000.2490.2481.000

Missing values

2024-05-10T23:23:55.194654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:23:56.076028image/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.
2024-05-10T23:23:56.648323image/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(㎡)
510332400002007111320050120413일반음식점분식베테랑김밥서울특별시 강동구 명일로 197, (길동)서울특별시 강동구 길동 252번지 100호20071025처분확정과태료부과20만원식품위생법제26조20071022건강진단미필(종사원1/3)과태료부과20만원<NA>42.9
390432400002004120920020121007유통전문판매업유통전문판매업(주)영진약품판매서울특별시 강동구 조정대로43번길 25, (상일동)서울특별시 강동구 상일동 21번지 1호20041011처분확정시정명령식위법 제10조20041011원재료성분과 다른 내용의 표기시정명령<NA><NA>
346732400002010111520010120719휴게음식점다방청제서울특별시 강동구 상암로4길 52, (암사동)서울특별시 강동구 암사동 514번지 55호20101030처분확정과징금부과식품위생법 제44조 제1항, 제75조 제1항 제13호20101030휴게음식점 영업주가 손님에게 음주를 허용하게 함.과징금부과15<NA>
877532400002017042020070120295집단급식소병원리더스병원서울특별시 강동구 천호대로 1044, (성내동)서울특별시 강동구 성내동 13번지 9호20170328처분확정과태료부과 240,000원(사전통지기간 중 자진납부)법 제18조제1항20170328쌀의 원산지표시 미게시과태료부과 240,000원(사전통지기간 중 자진납부)<NA><NA>
704832400002010071219960121100일반음식점정종/대포집/소주방베네스트서울특별시 강동구 올림픽로70길 60, (천호동)서울특별시 강동구 천호동 454번지 59호20100504처분확정50만원및 영업정지20일(2010.07.23~8.11)식품위생법 제44조 제2항 제4호, 동법 제75조 제1항 제13호20100417청소년에게 주류를 제공50만원및 영업정지20일(2010.07.23~8.11)20166.48
1112832400002014010719990121547유흥주점영업룸살롱황제비지니스서울특별시 강동구 양재대로 1459, (길동,,16)서울특별시 강동구 길동 412번지 11호 ,1620131212처분확정과태료부과식품위생법 제44조 제1항20131212유흥종사자 명부 미기재과태료부과<NA>261.32
257632400002010050620060120244일반음식점까페올인서울특별시 강동구 성안로 108, (성내동)서울특별시 강동구 성내동 382번지 15호20100408처분확정영업정지식품위생법 제39조 제1항, 제3항201004081개월이내에 영업자지위승계를 하여야 하나 2009. 6. 19경부터 윤정해(현재 영업자)영업을 하면서 지위승계를 하지 않음영업정지725.92
888532400002011110820100120908식품제조가공업식품제조가공업떡고을서울특별시 강동구 올림픽로80길 42, (천호동,(1층))서울특별시 강동구 천호동 423번지 78호 (1층)20111019처분확정시정명령식품위생법 법44조 및 같은법시행규칙제55조20111019제품의 거래기록 미작성시정명령<NA>32.31
451832400002004071219990120353일반음식점한식참나무집서울특별시 강동구 동남로 640, (둔촌동)서울특별시 강동구 둔촌동 1번지 3호20040611처분확정시정명령식위제58조20040611식용 불가한 옻을 식용으로 사용시정명령<NA>65.8
927332400002016110420140120207제과점영업제과점영업브라운파파 강동구청직영점서울특별시 강동구 성내로 7, (성내동, 103호)서울특별시 강동구 성내동 319번지 10호 103호20161011처분확정과태료부과법 제101조제2항 제1호20161011종사자 3명중 1명 건강진단미필과태료부과<NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
338932400002004081619960120488단란주점단란주점보 스서울특별시 강동구 천호대로157길 6, (천호동)서울특별시 강동구 천호동 453번지 18호20040722처분확정시정명령58조20040722업종혼동표시시정명령<NA>33.06
523232400002012122120060120681일반음식점한식장원보쌈서울특별시 강동구 구천면로 196, (천호동)서울특별시 강동구 천호동 417번지 5호20121130처분확정시정명령식품위생법 제7조 제4항20121130새우젖에 이물질 혼입시정명령<NA>496.79
8143240000201407091518미용업네일아트업까사벨르서울특별시 강동구 양재대로 1571, (천호동,홈플러스 강동점 3층)서울특별시 강동구 천호동 42번지 홈플러스 강동점 3층20140513처분확정경고공중위생관리법제22조제2항제6호, 같은법시행규칙 제19조 (별표7)201312312013년 위생교육 미이수경고<NA>39.6
13433240000201504241440피부미용업피부미용업엘르코스메틱서울특별시 강동구 진황도로 99, (길동,강동한신휴플러스상가 112호)서울특별시 강동구 길동 414번지 10호 강동한신휴플러스상가 112호20150203처분확정경고공중위생관리법 제17조제1항201502032014년 위생교육 미이수경고<NA>49.48
1038932400002007050420060120012일반음식점한식불로만숯불바베큐서울특별시 강동구 상암로 20, (암사동)서울특별시 강동구 암사동 511번지 3호20070411처분확정과태료부과식품위생법제26조20070427건강진단미필(과태료20만원)과태료부과<NA>33.0
404032400002023092520160121187제과점영업제과점영업나폴레옹제과점서울특별시 강동구 천호대로 1005, 지하2층 (천호동, 현대백화점 천호점)서울특별시 강동구 천호동 455번지 8호20230703처분확정과태료부과법 제101조제4항1호202212312022. 위생교육 미이수과태료부과<NA>21.2
317732400002023072020200121058일반음식점호프/통닭리프 LEEF서울특별시 강동구 성내로6길 55, 대야빌딩 101호 (성내동)서울특별시 강동구 성내동 459번지 대야빌딩20230720처분확정과태료부과법 제101조제4항1호202301012022년 위생교육 미수료과태료부과<NA><NA>
887432400002015072720080120279식품제조가공업식품제조가공업성농찬서울특별시 강동구 상암로81길 50, 지층 (상일동)서울특별시 강동구 상일동 454번지 지층20150709처분확정과태료부과법 제71조, 법 제75조 및 법 제76조20150709자가품질검사 부적합(식육가공품:성농찬곱창)과태료부과<NA><NA>
432132400002010050619910120004일반음식점까페향기서울특별시 강동구 성안로 43, (성내동)서울특별시 강동구 성내동 434번지 12호20100420처분확정시정명령식품위생법 제39조 제1항, 제3항201004201개월이내에 영업자지위승계를 하여야 하나 현영업주 김정임은 2009. 10월경부터 영업을 하면서 관할 구청에 지위승계를 하지 않음시정명령<NA>17.5
637332400002004101220000120400즉석판매제조가공업즉석판매제조가공업암사떡방앗간서울특별시 강동구 고덕로25길 13, (암사동)서울특별시 강동구 암사동 447번지 9호20040913처분확정영업정지식품위생법 제27조20040913참기름 자가품질검사 미실시영업정지<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
17732400002013061920020121334식품등 수입판매업식품등 수입판매업(주)흥보교역서울특별시 강동구 강동대로53길 35, (성내동,201호)서울특별시 강동구 성내동 444번지 3호 201호20130514처분확정영업소폐쇄식품위생법 제75조제3항제1호201305146월이상 휴업영업소폐쇄<NA><NA>5
2432400002008021819990121102즉석판매제조가공업즉석판매제조가공업디피케이주식회사서울특별시 강동구 풍성로 186, (성내동)서울특별시 강동구 성내동 420번지 21호20080107처분확정과태료부과 20만원식품위생법 제27조200801072007년도 기존위생교육 미필과태료부과 20만원<NA><NA>4
2732400002008090119990121592일반음식점호프/통닭준코서울특별시 강동구 천호대로157길 37, (천호동)서울특별시 강동구 천호동 413번지 1호20080704처분확정영업정지1월15일제31조20080704청소년주류제공영업정지1월15일<NA>246.484
4632400002010060720020120124일반음식점분식처음처럼서울특별시 강동구 양재대로133길 8, (천호동,1층)서울특별시 강동구 천호동 30번지 15호 1층20100504처분확정과태료부과식품위생법 제40조 제1항, 제101조 제2항 제1호20100503영업주가 건강진단을 받지 아니함.과태료부과<NA><NA>4
8832400002012050120070120644식품등 수입판매업식품등 수입판매업(주)에코파인서울특별시 강동구 천호대로 1199, (길동,동일빌딩 602호)서울특별시 강동구 길동 151번지 동일빌딩 602호20120320처분확정영업소폐쇄식품위생법 제36조 및 제75조20120320시설물 무단 철거영업소폐쇄<NA><NA>4
33032400002018091920130120418휴게음식점커피숍아리스타 커피서울특별시 강동구 양재대로102길 33, (둔촌동)서울특별시 강동구 둔촌동 428번지20180816처분확정과태료부과법 제101조제2항 제1호20180816영업자 및 종사자(1명중1명) 건강진단 미필과태료부과<NA><NA>4
33632400002018102420150325568일반음식점한식시골밥상서울특별시 강동구 양재대로124길 20, (길동)서울특별시 강동구 길동 337번지 4호20180918처분확정과태료부과법 제101조제2항 제1호20180918영업자 건강진단 미필과태료부과<NA>23.04
33732400002018102420150325568일반음식점한식시골밥상서울특별시 강동구 양재대로124길 20, (길동)서울특별시 강동구 길동 337번지 4호20180918처분확정과태료부과법 제101조제2항 제1호20180918영업자 건강진단 미필과태료부과<NA>57.314
33832400002018102420150325568일반음식점한식시골밥상서울특별시 강동구 양재대로124길 20, (길동)서울특별시 강동구 길동 337번지 4호20180918처분확정과태료부과법 제101조제2항 제1호20180918영업자 건강진단 미필과태료부과<NA><NA>4
36932400002023041319990121524일반음식점일식세꼬시서울특별시 강동구 양재대로 1427, (성내동)서울특별시 강동구 성내동 379번지 32호20230322처분확정과태료부과법 제101조제2항제10호 및 영 제67조20230322식품등을 취급하는 조리실 내부를 청결하게 관리하지 않음 - 조리실 내부의 전반적으로 청결하게 관리하지 않음 - 음식물쓰레기 보관시 뚜껑있는 쓰레기통 미사용(소쿠리로 보관) - 조리실 내 뚜껑없는 쓰레기통 사용 - 조리실 바닥에 식자재(배추) 보관과태료부과<NA>43.554