Overview

Dataset statistics

Number of variables18
Number of observations8081
Missing cells16099
Missing cells (%)11.1%
Duplicate rows242
Duplicate rows (%)3.0%
Total size in memory1.2 MiB
Average record size in memory151.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-2305/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 242 (3.0%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
업종명 is highly imbalanced (55.7%)Imbalance
운영형태 is highly imbalanced (97.1%)Imbalance
소재지도로명 has 4520 (55.9%) missing valuesMissing
위반내용 has 133 (1.6%) missing valuesMissing
처분기간 has 7268 (89.9%) missing valuesMissing
영업장면적(㎡) has 4152 (51.4%) missing valuesMissing
처분기간 has 87 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 02:31:25.702118
Analysis finished2024-05-11 02:31:49.647003
Duration23.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
3120000
8081 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 8081
100.0%

Length

2024-05-11T02:31:49.856333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:31:50.171412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 8081
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2181
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126169
Minimum19980713
Maximum20240508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:31:50.810848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980713
5-th percentile20030224
Q120071212
median20120820
Q320181109
95-th percentile20230216
Maximum20240508
Range259795
Interquartile range (IQR)109897

Descriptive statistics

Standard deviation62570.562
Coefficient of variation (CV)0.0031089156
Kurtosis-1.1980335
Mean20126169
Median Absolute Deviation (MAD)50497
Skewness0.022215514
Sum1.6263957 × 1011
Variance3.9150752 × 109
MonotonicityDecreasing
2024-05-11T02:31:51.297470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211101 159
 
2.0%
20050317 156
 
1.9%
20220105 82
 
1.0%
20150909 68
 
0.8%
20210517 61
 
0.8%
20231130 55
 
0.7%
20180108 49
 
0.6%
20030221 38
 
0.5%
20190118 37
 
0.5%
20231124 36
 
0.4%
Other values (2171) 7340
90.8%
ValueCountFrequency (%)
19980713 1
 
< 0.1%
20010720 2
< 0.1%
20010817 1
 
< 0.1%
20010918 2
< 0.1%
20010925 1
 
< 0.1%
20010929 1
 
< 0.1%
20011006 2
< 0.1%
20011009 4
< 0.1%
20011012 1
 
< 0.1%
20011015 1
 
< 0.1%
ValueCountFrequency (%)
20240508 1
 
< 0.1%
20240426 1
 
< 0.1%
20240405 2
 
< 0.1%
20240403 2
 
< 0.1%
20240401 8
0.1%
20240325 2
 
< 0.1%
20240320 1
 
< 0.1%
20240319 3
 
< 0.1%
20240312 1
 
< 0.1%
20240307 4
< 0.1%

교부번호
Real number (ℝ)

Distinct4480
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.001758 × 1010
Minimum1.9660066 × 1010
Maximum2.0230088 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:31:51.734242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9660066 × 1010
5-th percentile1.9840066 × 1010
Q11.9960067 × 1010
median2.0020066 × 1010
Q32.0080066 × 1010
95-th percentile2.0170066 × 1010
Maximum2.0230088 × 1010
Range5.7002231 × 108
Interquartile range (IQR)1.1999966 × 108

Descriptive statistics

Standard deviation94739056
Coefficient of variation (CV)0.0047327926
Kurtosis0.57967818
Mean2.001758 × 1010
Median Absolute Deviation (MAD)59999885
Skewness-0.46002773
Sum1.6176207 × 1014
Variance8.9754888 × 1015
MonotonicityNot monotonic
2024-05-11T02:31:52.192893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020066805 84
 
1.0%
19820066054 30
 
0.4%
20010067090 28
 
0.3%
19940066854 22
 
0.3%
19990067142 21
 
0.3%
20050066396 20
 
0.2%
19940066078 18
 
0.2%
20040066097 18
 
0.2%
19980066343 18
 
0.2%
20080066348 18
 
0.2%
Other values (4470) 7804
96.6%
ValueCountFrequency (%)
19660066003 1
 
< 0.1%
19670066001 9
0.1%
19690066009 1
 
< 0.1%
19690066010 1
 
< 0.1%
19690066020 1
 
< 0.1%
19700066006 4
< 0.1%
19700066009 1
 
< 0.1%
19700066012 1
 
< 0.1%
19700066013 1
 
< 0.1%
19700066015 5
0.1%
ValueCountFrequency (%)
20230088316 1
 
< 0.1%
20230088158 9
0.1%
20230088059 3
 
< 0.1%
20220085746 3
 
< 0.1%
20220081218 1
 
< 0.1%
20220081217 1
 
< 0.1%
20220081058 1
 
< 0.1%
20220080865 2
 
< 0.1%
20220080755 1
 
< 0.1%
20220080748 1
 
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
일반음식점
5573 
휴게음식점
592 
단란주점
 
403
즉석판매제조가공업
 
297
식품제조가공업
 
296
Other values (15)
920 

Length

Max length13
Median length5
Mean length5.4394258
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5573
69.0%
휴게음식점 592
 
7.3%
단란주점 403
 
5.0%
즉석판매제조가공업 297
 
3.7%
식품제조가공업 296
 
3.7%
유흥주점영업 286
 
3.5%
건강기능식품일반판매업 153
 
1.9%
식품등 수입판매업 113
 
1.4%
제과점영업 96
 
1.2%
유통전문판매업 74
 
0.9%
Other values (10) 198
 
2.5%

Length

2024-05-11T02:31:52.620165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 5573
68.0%
휴게음식점 592
 
7.2%
단란주점 403
 
4.9%
즉석판매제조가공업 297
 
3.6%
식품제조가공업 296
 
3.6%
유흥주점영업 286
 
3.5%
건강기능식품일반판매업 153
 
1.9%
식품등 113
 
1.4%
수입판매업 113
 
1.4%
제과점영업 96
 
1.2%
Other values (11) 272
 
3.3%

업태명
Text

Distinct68
Distinct (%)0.8%
Missing11
Missing (%)0.1%
Memory size63.3 KiB
2024-05-11T02:31:53.167468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.3226766
Min length2

Characters and Unicode

Total characters34884
Distinct characters152
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row단란주점
2nd row단란주점
3rd row기타
4th row호프/통닭
5th row일식
ValueCountFrequency (%)
한식 2299
27.5%
정종/대포집/소주방 716
 
8.6%
경양식 631
 
7.5%
분식 526
 
6.3%
호프/통닭 517
 
6.2%
기타 438
 
5.2%
단란주점 403
 
4.8%
즉석판매제조가공업 297
 
3.6%
식품제조가공업 296
 
3.5%
커피숍 193
 
2.3%
Other values (59) 2043
24.4%
2024-05-11T02:31:54.391163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4519
 
13.0%
한 2299
 
6.6%
/ 1949
 
5.6%
업 1169
 
3.4%
주 1146
 
3.3%
집 795
 
2.3%
방 790
 
2.3%
소 789
 
2.3%
매 788
 
2.3%
판 788
 
2.3%
Other values (142) 19852
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32129
92.1%
Other Punctuation 1968
 
5.6%
Space Separator 289
 
0.8%
Open Punctuation 249
 
0.7%
Close Punctuation 249
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4519
 
14.1%
한 2299
 
7.2%
업 1169
 
3.6%
주 1146
 
3.6%
집 795
 
2.5%
방 790
 
2.5%
소 789
 
2.5%
매 788
 
2.5%
판 788
 
2.5%
통 772
 
2.4%
Other values (137) 18274
56.9%
Other Punctuation
ValueCountFrequency (%)
/ 1949
99.0%
, 19
 
1.0%
Space Separator
ValueCountFrequency (%)
289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32129
92.1%
Common 2755
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4519
 
14.1%
한 2299
 
7.2%
업 1169
 
3.6%
주 1146
 
3.6%
집 795
 
2.5%
방 790
 
2.5%
소 789
 
2.5%
매 788
 
2.5%
판 788
 
2.5%
통 772
 
2.4%
Other values (137) 18274
56.9%
Common
ValueCountFrequency (%)
/ 1949
70.7%
289
 
10.5%
( 249
 
9.0%
) 249
 
9.0%
, 19
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32129
92.1%
ASCII 2755
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4519
 
14.1%
한 2299
 
7.2%
업 1169
 
3.6%
주 1146
 
3.6%
집 795
 
2.5%
방 790
 
2.5%
소 789
 
2.5%
매 788
 
2.5%
판 788
 
2.5%
통 772
 
2.4%
Other values (137) 18274
56.9%
ASCII
ValueCountFrequency (%)
/ 1949
70.7%
289
 
10.5%
( 249
 
9.0%
) 249
 
9.0%
, 19
 
0.7%

업소명
Text

Distinct4489
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2024-05-11T02:31:55.188983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length5.1325331
Min length1

Characters and Unicode

Total characters41476
Distinct characters977
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

Unique2951 ?
Unique (%)36.5%

Sample

1st row아마죤
2nd row황금매들리
3rd row선인장
4th row비어시티
5th row고기사랑
ValueCountFrequency (%)
한옥집 84
 
0.9%
신촌점 61
 
0.7%
주식회사 49
 
0.5%
마실 37
 
0.4%
석란 30
 
0.3%
이대점 27
 
0.3%
다복식품 20
 
0.2%
유가네기사식당 20
 
0.2%
오성 18
 
0.2%
모카 18
 
0.2%
Other values (4850) 8756
96.0%
2024-05-11T02:31:56.850430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1059
 
2.6%
1039
 
2.5%
스 897
 
2.2%
리 692
 
1.7%
점 627
 
1.5%
) 612
 
1.5%
식 611
 
1.5%
( 607
 
1.5%
주 584
 
1.4%
마 458
 
1.1%
Other values (967) 34290
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37120
89.5%
Space Separator 1039
 
2.5%
Lowercase Letter 852
 
2.1%
Uppercase Letter 734
 
1.8%
Close Punctuation 612
 
1.5%
Open Punctuation 607
 
1.5%
Decimal Number 374
 
0.9%
Other Punctuation 122
 
0.3%
Dash Punctuation 8
 
< 0.1%
Letter Number 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1059
 
2.9%
스 897
 
2.4%
리 692
 
1.9%
점 627
 
1.7%
식 611
 
1.6%
주 584
 
1.6%
마 458
 
1.2%
아 386
 
1.0%
대 381
 
1.0%
비 363
 
1.0%
Other values (888) 31062
83.7%
Uppercase Letter
ValueCountFrequency (%)
A 68
 
9.3%
B 65
 
8.9%
E 49
 
6.7%
I 49
 
6.7%
C 45
 
6.1%
N 44
 
6.0%
O 43
 
5.9%
S 41
 
5.6%
T 39
 
5.3%
R 34
 
4.6%
Other values (16) 257
35.0%
Lowercase Letter
ValueCountFrequency (%)
a 109
12.8%
e 96
 
11.3%
o 72
 
8.5%
r 61
 
7.2%
i 53
 
6.2%
s 48
 
5.6%
l 44
 
5.2%
t 44
 
5.2%
c 37
 
4.3%
f 36
 
4.2%
Other values (15) 252
29.6%
Decimal Number
ValueCountFrequency (%)
2 102
27.3%
0 67
17.9%
1 60
16.0%
9 36
 
9.6%
4 31
 
8.3%
3 26
 
7.0%
5 24
 
6.4%
7 14
 
3.7%
6 9
 
2.4%
8 5
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 37
30.3%
& 22
18.0%
, 17
13.9%
' 14
 
11.5%
! 11
 
9.0%
; 10
 
8.2%
? 6
 
4.9%
？ 3
 
2.5%
% 1
 
0.8%
@ 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1039
100.0%
Close Punctuation
ValueCountFrequency (%)
) 612
100.0%
Open Punctuation
ValueCountFrequency (%)
( 607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37116
89.5%
Common 2764
 
6.7%
Latin 1591
 
3.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1059
 
2.9%
스 897
 
2.4%
리 692
 
1.9%
점 627
 
1.7%
식 611
 
1.6%
주 584
 
1.6%
마 458
 
1.2%
아 386
 
1.0%
대 381
 
1.0%
비 363
 
1.0%
Other values (885) 31058
83.7%
Latin
ValueCountFrequency (%)
a 109
 
6.9%
e 96
 
6.0%
o 72
 
4.5%
A 68
 
4.3%
B 65
 
4.1%
r 61
 
3.8%
i 53
 
3.3%
E 49
 
3.1%
I 49
 
3.1%
s 48
 
3.0%
Other values (42) 921
57.9%
Common
ValueCountFrequency (%)
1039
37.6%
) 612
22.1%
( 607
22.0%
2 102
 
3.7%
0 67
 
2.4%
1 60
 
2.2%
. 37
 
1.3%
9 36
 
1.3%
4 31
 
1.1%
3 26
 
0.9%
Other values (16) 147
 
5.3%
Han
ValueCountFrequency (%)
酒 2
40.0%
吳 1
20.0%
大 1
20.0%
辛 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37114
89.5%
ASCII 4347
 
10.5%
Number Forms 5
 
< 0.1%
CJK 5
 
< 0.1%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1059
 
2.9%
스 897
 
2.4%
리 692
 
1.9%
점 627
 
1.7%
식 611
 
1.6%
주 584
 
1.6%
마 458
 
1.2%
아 386
 
1.0%
대 381
 
1.0%
비 363
 
1.0%
Other values (883) 31056
83.7%
ASCII
ValueCountFrequency (%)
1039
23.9%
) 612
14.1%
( 607
14.0%
a 109
 
2.5%
2 102
 
2.3%
e 96
 
2.2%
o 72
 
1.7%
A 68
 
1.6%
0 67
 
1.5%
B 65
 
1.5%
Other values (66) 1510
34.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
None
ValueCountFrequency (%)
？ 3
75.0%
㈜ 1
 
25.0%
CJK
ValueCountFrequency (%)
酒 2
40.0%
吳 1
20.0%
大 1
20.0%
辛 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

소재지도로명
Text

MISSING 

Distinct2143
Distinct (%)60.2%
Missing4520
Missing (%)55.9%
Memory size63.3 KiB
2024-05-11T02:31:57.704669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length56
Mean length31.59253
Min length23

Characters and Unicode

Total characters112501
Distinct characters292
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1475 ?
Unique (%)41.4%

Sample

1st row서울특별시 서대문구 신촌로 283, (북아현동)
2nd row서울특별시 서대문구 응암로 78, (북가좌동,,15,16)
3rd row서울특별시 서대문구 수색로4가길 14-7, (남가좌동,1층)
4th row서울특별시 서대문구 증가로 116, (남가좌동)
5th row서울특별시 서대문구 충정로4길 26, 1~2층 (충정로3가)
ValueCountFrequency (%)
서울특별시 3561
 
17.5%
서대문구 3561
 
17.5%
창천동 630
 
3.1%
1층 565
 
2.8%
연희동 330
 
1.6%
홍제동 324
 
1.6%
대현동 279
 
1.4%
남가좌동 275
 
1.4%
지하1층 245
 
1.2%
신촌로 245
 
1.2%
Other values (1564) 10289
50.7%
2024-05-11T02:31:59.228074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16747
 
14.9%
서 7210
 
6.4%
, 5429
 
4.8%
대 4480
 
4.0%
1 4423
 
3.9%
) 4220
 
3.8%
( 4220
 
3.8%
문 3649
 
3.2%
울 3623
 
3.2%
시 3623
 
3.2%
Other values (282) 54877
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65883
58.6%
Space Separator 16747
 
14.9%
Decimal Number 14895
 
13.2%
Other Punctuation 5435
 
4.8%
Close Punctuation 4220
 
3.8%
Open Punctuation 4220
 
3.8%
Dash Punctuation 841
 
0.7%
Uppercase Letter 153
 
0.1%
Math Symbol 63
 
0.1%
Lowercase Letter 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 7210
 
10.9%
대 4480
 
6.8%
문 3649
 
5.5%
울 3623
 
5.5%
시 3623
 
5.5%
구 3573
 
5.4%
별 3572
 
5.4%
특 3561
 
5.4%
동 3557
 
5.4%
로 3132
 
4.8%
Other values (241) 25903
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 47
30.7%
C 20
13.1%
D 20
13.1%
M 19
12.4%
A 18
 
11.8%
K 10
 
6.5%
S 6
 
3.9%
G 4
 
2.6%
T 4
 
2.6%
L 2
 
1.3%
Other values (3) 3
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 4423
29.7%
2 2105
14.1%
3 1726
 
11.6%
4 1295
 
8.7%
5 1095
 
7.4%
0 996
 
6.7%
7 928
 
6.2%
8 892
 
6.0%
6 767
 
5.1%
9 668
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
31.6%
m 5
13.2%
d 5
13.2%
c 5
13.2%
a 4
 
10.5%
b 3
 
7.9%
s 2
 
5.3%
k 2
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 5429
99.9%
& 4
 
0.1%
@ 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 841
100.0%
Math Symbol
ValueCountFrequency (%)
~ 63
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65878
58.6%
Common 46427
41.3%
Latin 191
 
0.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 7210
 
10.9%
대 4480
 
6.8%
문 3649
 
5.5%
울 3623
 
5.5%
시 3623
 
5.5%
구 3573
 
5.4%
별 3572
 
5.4%
특 3561
 
5.4%
동 3557
 
5.4%
로 3132
 
4.8%
Other values (240) 25898
39.3%
Latin
ValueCountFrequency (%)
B 47
24.6%
C 20
10.5%
D 20
10.5%
M 19
9.9%
A 18
 
9.4%
e 12
 
6.3%
K 10
 
5.2%
S 6
 
3.1%
m 5
 
2.6%
d 5
 
2.6%
Other values (11) 29
15.2%
Common
ValueCountFrequency (%)
16747
36.1%
, 5429
 
11.7%
1 4423
 
9.5%
) 4220
 
9.1%
( 4220
 
9.1%
2 2105
 
4.5%
3 1726
 
3.7%
4 1295
 
2.8%
5 1095
 
2.4%
0 996
 
2.1%
Other values (10) 4171
 
9.0%
Han
ValueCountFrequency (%)
內 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65878
58.6%
ASCII 46618
41.4%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16747
35.9%
, 5429
 
11.6%
1 4423
 
9.5%
) 4220
 
9.1%
( 4220
 
9.1%
2 2105
 
4.5%
3 1726
 
3.7%
4 1295
 
2.8%
5 1095
 
2.3%
0 996
 
2.1%
Other values (31) 4362
 
9.4%
Hangul
ValueCountFrequency (%)
서 7210
 
10.9%
대 4480
 
6.8%
문 3649
 
5.5%
울 3623
 
5.5%
시 3623
 
5.5%
구 3573
 
5.4%
별 3572
 
5.4%
특 3561
 
5.4%
동 3557
 
5.4%
로 3132
 
4.8%
Other values (240) 25898
39.3%
CJK
ValueCountFrequency (%)
內 5
100.0%

소재지지번
Text

Distinct3948
Distinct (%)48.9%
Missing11
Missing (%)0.1%
Memory size63.3 KiB
2024-05-11T02:32:00.174487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length63
Mean length29.795911
Min length21

Characters and Unicode

Total characters240453
Distinct characters305
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2347 ?
Unique (%)29.1%

Sample

1st row서울특별시 서대문구 북아현동 126번지 44호
2nd row서울특별시 서대문구 북가좌동 300번지 14호 ,15,16
3rd row서울특별시 서대문구 남가좌동 295번지 13호 1층
4th row서울특별시 서대문구 남가좌동 339번지 34호
5th row서울특별시 서대문구 충정로3가 345번지 1,2층 전체
ValueCountFrequency (%)
서울특별시 8070
 
18.0%
서대문구 8070
 
18.0%
창천동 2104
 
4.7%
남가좌동 1181
 
2.6%
홍제동 975
 
2.2%
지상1층 852
 
1.9%
연희동 712
 
1.6%
대현동 614
 
1.4%
지하1층 607
 
1.4%
홍은동 569
 
1.3%
Other values (1659) 21106
47.0%
2024-05-11T02:32:01.735647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57021
23.7%
서 16168
 
6.7%
지 10523
 
4.4%
1 9521
 
4.0%
대 8950
 
3.7%
시 8099
 
3.4%
문 8089
 
3.4%
번 8085
 
3.4%
구 8083
 
3.4%
별 8079
 
3.4%
Other values (295) 97835
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135706
56.4%
Space Separator 57021
23.7%
Decimal Number 41686
 
17.3%
Open Punctuation 1936
 
0.8%
Close Punctuation 1936
 
0.8%
Other Punctuation 1303
 
0.5%
Dash Punctuation 570
 
0.2%
Uppercase Letter 204
 
0.1%
Math Symbol 48
 
< 0.1%
Lowercase Letter 43
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 16168
 
11.9%
지 10523
 
7.8%
대 8950
 
6.6%
시 8099
 
6.0%
문 8089
 
6.0%
번 8085
 
6.0%
구 8083
 
6.0%
별 8079
 
6.0%
울 8074
 
5.9%
특 8070
 
5.9%
Other values (251) 43486
32.0%
Uppercase Letter
ValueCountFrequency (%)
B 59
28.9%
A 38
18.6%
D 23
 
11.3%
C 21
 
10.3%
M 20
 
9.8%
K 14
 
6.9%
S 9
 
4.4%
T 7
 
3.4%
G 4
 
2.0%
P 4
 
2.0%
Other values (4) 5
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 9521
22.8%
2 6254
15.0%
3 5908
14.2%
5 3867
9.3%
4 3326
 
8.0%
0 2924
 
7.0%
7 2568
 
6.2%
9 2532
 
6.1%
8 2473
 
5.9%
6 2313
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 1267
97.2%
@ 11
 
0.8%
. 9
 
0.7%
/ 7
 
0.5%
& 5
 
0.4%
; 2
 
0.2%
: 1
 
0.1%
? 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 14
32.6%
m 7
16.3%
a 6
14.0%
d 5
 
11.6%
c 5
 
11.6%
b 4
 
9.3%
p 2
 
4.7%
Space Separator
ValueCountFrequency (%)
57021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1936
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1936
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%
Math Symbol
ValueCountFrequency (%)
~ 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135700
56.4%
Common 104500
43.5%
Latin 247
 
0.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 16168
 
11.9%
지 10523
 
7.8%
대 8950
 
6.6%
시 8099
 
6.0%
문 8089
 
6.0%
번 8085
 
6.0%
구 8083
 
6.0%
별 8079
 
6.0%
울 8074
 
5.9%
특 8070
 
5.9%
Other values (250) 43480
32.0%
Common
ValueCountFrequency (%)
57021
54.6%
1 9521
 
9.1%
2 6254
 
6.0%
3 5908
 
5.7%
5 3867
 
3.7%
4 3326
 
3.2%
0 2924
 
2.8%
7 2568
 
2.5%
9 2532
 
2.4%
8 2473
 
2.4%
Other values (13) 8106
 
7.8%
Latin
ValueCountFrequency (%)
B 59
23.9%
A 38
15.4%
D 23
 
9.3%
C 21
 
8.5%
M 20
 
8.1%
e 14
 
5.7%
K 14
 
5.7%
S 9
 
3.6%
T 7
 
2.8%
m 7
 
2.8%
Other values (11) 35
14.2%
Han
ValueCountFrequency (%)
內 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135700
56.4%
ASCII 104747
43.6%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57021
54.4%
1 9521
 
9.1%
2 6254
 
6.0%
3 5908
 
5.6%
5 3867
 
3.7%
4 3326
 
3.2%
0 2924
 
2.8%
7 2568
 
2.5%
9 2532
 
2.4%
8 2473
 
2.4%
Other values (34) 8353
 
8.0%
Hangul
ValueCountFrequency (%)
서 16168
 
11.9%
지 10523
 
7.8%
대 8950
 
6.6%
시 8099
 
6.0%
문 8089
 
6.0%
번 8085
 
6.0%
구 8083
 
6.0%
별 8079
 
6.0%
울 8074
 
5.9%
특 8070
 
5.9%
Other values (250) 43480
32.0%
CJK
ValueCountFrequency (%)
內 6
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2703
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20124368
Minimum19980713
Maximum20240311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:32:02.287408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980713
5-th percentile20021211
Q120071025
median20120704
Q320180905
95-th percentile20230104
Maximum20240311
Range259598
Interquartile range (IQR)109880

Descriptive statistics

Standard deviation62501.516
Coefficient of variation (CV)0.0031057629
Kurtosis-1.1681471
Mean20124368
Median Absolute Deviation (MAD)50417
Skewness0.018452164
Sum1.6262502 × 1011
Variance3.9064395 × 109
MonotonicityNot monotonic
2024-05-11T02:32:02.943194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210829 238
 
2.9%
20050124 156
 
1.9%
20171121 112
 
1.4%
20171017 82
 
1.0%
20210415 69
 
0.9%
20150728 65
 
0.8%
20181207 54
 
0.7%
20190313 44
 
0.5%
20231108 40
 
0.5%
20200227 39
 
0.5%
Other values (2693) 7182
88.9%
ValueCountFrequency (%)
19980713 1
< 0.1%
20001225 1
< 0.1%
20010420 1
< 0.1%
20010516 2
< 0.1%
20010517 1
< 0.1%
20010608 1
< 0.1%
20010610 1
< 0.1%
20010612 1
< 0.1%
20010710 1
< 0.1%
20010712 1
< 0.1%
ValueCountFrequency (%)
20240311 10
0.1%
20240228 2
 
< 0.1%
20240221 3
 
< 0.1%
20240207 6
0.1%
20240131 4
 
< 0.1%
20240129 1
 
< 0.1%
20240126 1
 
< 0.1%
20240123 2
 
< 0.1%
20240119 1
 
< 0.1%
20240105 2
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
처분확정
8081 

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 8081
100.0%

Length

2024-05-11T02:32:03.384513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:03.717279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 8081
100.0%

처분명
Text

Distinct866
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2024-05-11T02:32:04.173927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length55
Mean length8.6846925
Min length2

Characters and Unicode

Total characters70181
Distinct characters253
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

Unique510 ?
Unique (%)6.3%

Sample

1st row영업정지
2nd row영업정지
3rd row영업소폐쇄
4th row영업소폐쇄
5th row시정명령
ValueCountFrequency (%)
과태료부과 1815
15.8%
영업소폐쇄 1405
 
12.2%
영업정지 1047
 
9.1%
시정명령 943
 
8.2%
20만원 430
 
3.7%
영업소폐쇄(직권말소 405
 
3.5%
시설개수명령 296
 
2.6%
직권말소 271
 
2.4%
40만원 214
 
1.9%
30만원 208
 
1.8%
Other values (902) 4449
38.7%
2024-05-11T02:32:05.171099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5851
 
8.3%
0 3777
 
5.4%
업 3708
 
5.3%
영 3678
 
5.2%
3417
 
4.9%
부 2866
 
4.1%
정 2777
 
4.0%
소 2682
 
3.8%
료 2515
 
3.6%
태 2501
 
3.6%
Other values (243) 36409
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50370
71.8%
Decimal Number 11625
 
16.6%
Space Separator 3417
 
4.9%
Other Punctuation 1680
 
2.4%
Open Punctuation 1368
 
1.9%
Close Punctuation 1367
 
1.9%
Math Symbol 221
 
0.3%
Dash Punctuation 132
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
4.9%
만 2451
 
4.9%
Other values (216) 18848
37.4%
Decimal Number
ValueCountFrequency (%)
0 3777
32.5%
2 2496
21.5%
1 1908
16.4%
3 835
 
7.2%
5 706
 
6.1%
4 684
 
5.9%
6 492
 
4.2%
7 290
 
2.5%
8 269
 
2.3%
9 168
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 1431
85.2%
, 120
 
7.1%
% 82
 
4.9%
: 27
 
1.6%
※ 14
 
0.8%
/ 3
 
0.2%
* 2
 
0.1%
? 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1360
99.4%
[ 8
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1359
99.4%
] 8
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 219
99.1%
= 2
 
0.9%
Space Separator
ValueCountFrequency (%)
3417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50370
71.8%
Common 19810
 
28.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
4.9%
만 2451
 
4.9%
Other values (216) 18848
37.4%
Common
ValueCountFrequency (%)
0 3777
19.1%
3417
17.2%
2 2496
12.6%
1 1908
9.6%
. 1431
 
7.2%
( 1360
 
6.9%
) 1359
 
6.9%
3 835
 
4.2%
5 706
 
3.6%
4 684
 
3.5%
Other values (16) 1837
9.3%
Latin
ValueCountFrequency (%)
k 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50326
71.7%
ASCII 19797
 
28.2%
Compat Jamo 44
 
0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
5.0%
만 2451
 
4.9%
Other values (214) 18804
37.4%
ASCII
ValueCountFrequency (%)
0 3777
19.1%
3417
17.3%
2 2496
12.6%
1 1908
9.6%
. 1431
 
7.2%
( 1360
 
6.9%
) 1359
 
6.9%
3 835
 
4.2%
5 706
 
3.6%
4 684
 
3.5%
Other values (16) 1824
9.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 43
97.7%
ㅘ 1
 
2.3%
Punctuation
ValueCountFrequency (%)
※ 14
100.0%

법적근거
Text

Distinct519
Distinct (%)6.4%
Missing4
Missing (%)< 0.1%
Memory size63.3 KiB
2024-05-11T02:32:05.768384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length11.59849
Min length2

Characters and Unicode

Total characters93681
Distinct characters126
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)3.1%

Sample

1st row법 제71조 및 법 제75조
2nd row법 제71조 및 법 제75조
3rd row법 제71조, 법 제74조, 법 제75조 및 법 제76조
4th row법 제71조, 법 제74조, 법 제75조 및 법 제76조
5th row법 제71조, 법 제72조 및 법 제75조
ValueCountFrequency (%)
법 4637
23.6%
식품위생법 2534
12.9%
제75조 1293
 
6.6%
및 1104
 
5.6%
제37조 902
 
4.6%
제71조 841
 
4.3%
7항 821
 
4.2%
제101조제2항제1호 534
 
2.7%
제74조 510
 
2.6%
제44조 343
 
1.7%
Other values (412) 6117
31.2%
2024-05-11T02:32:06.946769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11572
12.4%
제 11495
12.3%
법 9634
10.3%
조 9480
10.1%
7 5384
 
5.7%
1 5170
 
5.5%
위 5100
 
5.4%
식 4880
 
5.2%
품 4856
 
5.2%
생 4770
 
5.1%
Other values (116) 21340
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57517
61.4%
Decimal Number 23449
25.0%
Space Separator 11572
 
12.4%
Other Punctuation 938
 
1.0%
Open Punctuation 101
 
0.1%
Close Punctuation 99
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 11495
20.0%
법 9634
16.7%
조 9480
16.5%
위 5100
8.9%
식 4880
8.5%
품 4856
8.4%
생 4770
8.3%
항 2491
 
4.3%
및 1123
 
2.0%
호 1096
 
1.9%
Other values (97) 2592
 
4.5%
Decimal Number
ValueCountFrequency (%)
7 5384
23.0%
1 5170
22.0%
4 2445
10.4%
2 2415
10.3%
3 2401
10.2%
5 2175
9.3%
0 1402
 
6.0%
6 1196
 
5.1%
8 741
 
3.2%
9 120
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 925
98.6%
. 12
 
1.3%
: 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 95
96.0%
] 4
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 94
93.1%
[ 7
 
6.9%
Space Separator
ValueCountFrequency (%)
11572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57517
61.4%
Common 36164
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 11495
20.0%
법 9634
16.7%
조 9480
16.5%
위 5100
8.9%
식 4880
8.5%
품 4856
8.4%
생 4770
8.3%
항 2491
 
4.3%
및 1123
 
2.0%
호 1096
 
1.9%
Other values (97) 2592
 
4.5%
Common
ValueCountFrequency (%)
11572
32.0%
7 5384
14.9%
1 5170
14.3%
4 2445
 
6.8%
2 2415
 
6.7%
3 2401
 
6.6%
5 2175
 
6.0%
0 1402
 
3.9%
6 1196
 
3.3%
, 925
 
2.6%
Other values (9) 1079
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57516
61.4%
ASCII 36164
38.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11572
32.0%
7 5384
14.9%
1 5170
14.3%
4 2445
 
6.8%
2 2415
 
6.7%
3 2401
 
6.6%
5 2175
 
6.0%
0 1402
 
3.9%
6 1196
 
3.3%
, 925
 
2.6%
Other values (9) 1079
 
3.0%
Hangul
ValueCountFrequency (%)
제 11495
20.0%
법 9634
16.8%
조 9480
16.5%
위 5100
8.9%
식 4880
8.5%
품 4856
8.4%
생 4770
8.3%
항 2491
 
4.3%
및 1123
 
2.0%
호 1096
 
1.9%
Other values (96) 2591
 
4.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2802
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20122681
Minimum19900709
Maximum20240311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:32:07.377084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19900709
5-th percentile20021223
Q120070826
median20120405
Q320180322
95-th percentile20211124
Maximum20240311
Range339602
Interquartile range (IQR)109496

Descriptive statistics

Standard deviation62090.248
Coefficient of variation (CV)0.0030855853
Kurtosis-1.114944
Mean20122681
Median Absolute Deviation (MAD)50523
Skewness0.01290052
Sum1.6261138 × 1011
Variance3.8551989 × 109
MonotonicityNot monotonic
2024-05-11T02:32:08.117748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210401 170
 
2.1%
20050124 156
 
1.9%
20171121 111
 
1.4%
20171017 82
 
1.0%
20210415 69
 
0.9%
20211124 64
 
0.8%
20200227 50
 
0.6%
20150728 49
 
0.6%
20181206 46
 
0.6%
20181207 45
 
0.6%
Other values (2792) 7239
89.6%
ValueCountFrequency (%)
19900709 1
 
< 0.1%
19900831 1
 
< 0.1%
19930630 1
 
< 0.1%
19950603 1
 
< 0.1%
19961228 1
 
< 0.1%
19961231 1
 
< 0.1%
19980629 1
 
< 0.1%
19980630 1
 
< 0.1%
19981231 3
< 0.1%
20000410 1
 
< 0.1%
ValueCountFrequency (%)
20240311 8
0.1%
20240301 2
 
< 0.1%
20240228 2
 
< 0.1%
20240207 3
 
< 0.1%
20240206 6
0.1%
20240130 4
< 0.1%
20240123 2
 
< 0.1%
20240119 1
 
< 0.1%
20240118 1
 
< 0.1%
20240105 2
 
< 0.1%

위반내용
Text

MISSING 

Distinct3361
Distinct (%)42.3%
Missing133
Missing (%)1.6%
Memory size63.3 KiB
2024-05-11T02:32:08.845326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length329
Median length185
Mean length22.263085
Min length1

Characters and Unicode

Total characters176947
Distinct characters717
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2409 ?
Unique (%)30.3%

Sample

1st row2023.8.12. 22:52경 아마죤 단란주점의 업주 정00는 유흥주점 영업허가를 받지 않은 채 위 단란주점에서 여성 접객원 이00, 김00으로 하여금 성명을 알수 없는 남성 손님이 술을 마시는 자리에 합석하여 함께 술을 마시는 등의 접객 행위를 하도록 함으로써 식품접객업자 준수사항을 위반함
2nd row2023.10.28. 18:00~21:45경 영업자가 고용한 피의자 김00를 손님들과 유흥접객행위하도록 하여 영업자 준수사항을 위반함
3rd row영업시설물 멸실
4th row영업시설물 멸실
5th row조리된 식품에서 이물이 혼입된 사실을 확인함(돌솥뚝배기 파편)
ValueCountFrequency (%)
미필 717
 
2.2%
건강진단 623
 
1.9%
멸실 482
 
1.4%
462
 
1.4%
사업자등록 432
 
1.3%
영업시설물 412
 
1.2%
위생교육 410
 
1.2%
직권말소 398
 
1.2%
영업주 397
 
1.2%
적발 375
 
1.1%
Other values (5945) 28556
85.8%
2024-05-11T02:32:10.261216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26196
 
14.8%
0 7265
 
4.1%
업 6638
 
3.8%
. 6563
 
3.7%
2 6248
 
3.5%
1 6013
 
3.4%
영 3464
 
2.0%
( 2747
 
1.6%
) 2737
 
1.5%
미 2709
 
1.5%
Other values (707) 106367
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107162
60.6%
Decimal Number 27293
 
15.4%
Space Separator 26199
 
14.8%
Other Punctuation 9394
 
5.3%
Open Punctuation 2766
 
1.6%
Close Punctuation 2756
 
1.6%
Dash Punctuation 604
 
0.3%
Lowercase Letter 400
 
0.2%
Uppercase Letter 127
 
0.1%
Control 98
 
0.1%
Other values (4) 148
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6638
 
6.2%
영 3464
 
3.2%
미 2709
 
2.5%
소 2173
 
2.0%
자 1959
 
1.8%
주 1917
 
1.8%
시 1917
 
1.8%
단 1863
 
1.7%
위 1836
 
1.7%
사 1721
 
1.6%
Other values (614) 80965
75.6%
Lowercase Letter
ValueCountFrequency (%)
m 53
13.2%
g 50
12.5%
a 46
11.5%
e 42
10.5%
o 30
 
7.5%
l 27
 
6.8%
c 26
 
6.5%
k 18
 
4.5%
w 17
 
4.2%
i 15
 
3.8%
Other values (13) 76
19.0%
Uppercase Letter
ValueCountFrequency (%)
T 11
 
8.7%
O 10
 
7.9%
D 9
 
7.1%
U 8
 
6.3%
S 8
 
6.3%
R 8
 
6.3%
C 8
 
6.3%
F 7
 
5.5%
B 7
 
5.5%
M 7
 
5.5%
Other values (13) 44
34.6%
Decimal Number
ValueCountFrequency (%)
0 7265
26.6%
2 6248
22.9%
1 6013
22.0%
3 1576
 
5.8%
9 1268
 
4.6%
6 1114
 
4.1%
7 992
 
3.6%
4 986
 
3.6%
5 950
 
3.5%
8 881
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 6563
69.9%
: 1067
 
11.4%
/ 724
 
7.7%
, 677
 
7.2%
* 222
 
2.4%
' 52
 
0.6%
? 39
 
0.4%
% 26
 
0.3%
; 24
 
0.3%
Other Number
ValueCountFrequency (%)
² 13
41.9%
① 3
 
9.7%
② 3
 
9.7%
⑧ 2
 
6.5%
⑥ 2
 
6.5%
⑦ 2
 
6.5%
⑤ 2
 
6.5%
③ 2
 
6.5%
④ 2
 
6.5%
Other Symbol
ValueCountFrequency (%)
㎡ 59
85.5%
○ 8
 
11.6%
℃ 1
 
1.4%
□ 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 33
86.8%
= 3
 
7.9%
+ 1
 
2.6%
⇒ 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 2747
99.3%
[ 18
 
0.7%
「 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2737
99.3%
] 18
 
0.7%
」 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
26196
> 99.9%
　 3
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 604
100.0%
Control
ValueCountFrequency (%)
98
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107162
60.6%
Common 69258
39.1%
Latin 527
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6638
 
6.2%
영 3464
 
3.2%
미 2709
 
2.5%
소 2173
 
2.0%
자 1959
 
1.8%
주 1917
 
1.8%
시 1917
 
1.8%
단 1863
 
1.7%
위 1836
 
1.7%
사 1721
 
1.6%
Other values (614) 80965
75.6%
Common
ValueCountFrequency (%)
26196
37.8%
0 7265
 
10.5%
. 6563
 
9.5%
2 6248
 
9.0%
1 6013
 
8.7%
( 2747
 
4.0%
) 2737
 
4.0%
3 1576
 
2.3%
9 1268
 
1.8%
6 1114
 
1.6%
Other values (37) 7531
 
10.9%
Latin
ValueCountFrequency (%)
m 53
 
10.1%
g 50
 
9.5%
a 46
 
8.7%
e 42
 
8.0%
o 30
 
5.7%
l 27
 
5.1%
c 26
 
4.9%
k 18
 
3.4%
w 17
 
3.2%
i 15
 
2.8%
Other values (36) 203
38.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107143
60.6%
ASCII 69676
39.4%
CJK Compat 59
 
< 0.1%
None 21
 
< 0.1%
Compat Jamo 19
 
< 0.1%
Enclosed Alphanum 18
 
< 0.1%
Geometric Shapes 9
 
< 0.1%
Arrows 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26196
37.6%
0 7265
 
10.4%
. 6563
 
9.4%
2 6248
 
9.0%
1 6013
 
8.6%
( 2747
 
3.9%
) 2737
 
3.9%
3 1576
 
2.3%
9 1268
 
1.8%
6 1114
 
1.6%
Other values (65) 7949
 
11.4%
Hangul
ValueCountFrequency (%)
업 6638
 
6.2%
영 3464
 
3.2%
미 2709
 
2.5%
소 2173
 
2.0%
자 1959
 
1.8%
주 1917
 
1.8%
시 1917
 
1.8%
단 1863
 
1.7%
위 1836
 
1.7%
사 1721
 
1.6%
Other values (610) 80946
75.5%
CJK Compat
ValueCountFrequency (%)
㎡ 59
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
78.9%
ㅇ 2
 
10.5%
ㅎ 1
 
5.3%
ㅣ 1
 
5.3%
None
ValueCountFrequency (%)
² 13
61.9%
　 3
 
14.3%
Ø 3
 
14.3%
」 1
 
4.8%
「 1
 
4.8%
Geometric Shapes
ValueCountFrequency (%)
○ 8
88.9%
□ 1
 
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
16.7%
② 3
16.7%
⑧ 2
11.1%
⑥ 2
11.1%
⑦ 2
11.1%
⑤ 2
11.1%
③ 2
11.1%
④ 2
11.1%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

처분내용
Text

Distinct866
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2024-05-11T02:32:11.245595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length55
Mean length8.6846925
Min length2

Characters and Unicode

Total characters70181
Distinct characters253
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

Unique510 ?
Unique (%)6.3%

Sample

1st row영업정지
2nd row영업정지
3rd row영업소폐쇄
4th row영업소폐쇄
5th row시정명령
ValueCountFrequency (%)
과태료부과 1815
15.8%
영업소폐쇄 1405
 
12.2%
영업정지 1047
 
9.1%
시정명령 943
 
8.2%
20만원 430
 
3.7%
영업소폐쇄(직권말소 405
 
3.5%
시설개수명령 296
 
2.6%
직권말소 271
 
2.4%
40만원 214
 
1.9%
30만원 208
 
1.8%
Other values (902) 4449
38.7%
2024-05-11T02:32:12.539563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5851
 
8.3%
0 3777
 
5.4%
업 3708
 
5.3%
영 3678
 
5.2%
3417
 
4.9%
부 2866
 
4.1%
정 2777
 
4.0%
소 2682
 
3.8%
료 2515
 
3.6%
태 2501
 
3.6%
Other values (243) 36409
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50370
71.8%
Decimal Number 11625
 
16.6%
Space Separator 3417
 
4.9%
Other Punctuation 1680
 
2.4%
Open Punctuation 1368
 
1.9%
Close Punctuation 1367
 
1.9%
Math Symbol 221
 
0.3%
Dash Punctuation 132
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
4.9%
만 2451
 
4.9%
Other values (216) 18848
37.4%
Decimal Number
ValueCountFrequency (%)
0 3777
32.5%
2 2496
21.5%
1 1908
16.4%
3 835
 
7.2%
5 706
 
6.1%
4 684
 
5.9%
6 492
 
4.2%
7 290
 
2.5%
8 269
 
2.3%
9 168
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 1431
85.2%
, 120
 
7.1%
% 82
 
4.9%
: 27
 
1.6%
※ 14
 
0.8%
/ 3
 
0.2%
* 2
 
0.1%
? 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1360
99.4%
[ 8
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1359
99.4%
] 8
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 219
99.1%
= 2
 
0.9%
Space Separator
ValueCountFrequency (%)
3417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50370
71.8%
Common 19810
 
28.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
4.9%
만 2451
 
4.9%
Other values (216) 18848
37.4%
Common
ValueCountFrequency (%)
0 3777
19.1%
3417
17.2%
2 2496
12.6%
1 1908
9.6%
. 1431
 
7.2%
( 1360
 
6.9%
) 1359
 
6.9%
3 835
 
4.2%
5 706
 
3.6%
4 684
 
3.5%
Other values (16) 1837
9.3%
Latin
ValueCountFrequency (%)
k 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50326
71.7%
ASCII 19797
 
28.2%
Compat Jamo 44
 
0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5851
 
11.6%
업 3708
 
7.4%
영 3678
 
7.3%
부 2866
 
5.7%
정 2777
 
5.5%
소 2682
 
5.3%
료 2515
 
5.0%
태 2501
 
5.0%
원 2493
 
5.0%
만 2451
 
4.9%
Other values (214) 18804
37.4%
ASCII
ValueCountFrequency (%)
0 3777
19.1%
3417
17.3%
2 2496
12.6%
1 1908
9.6%
. 1431
 
7.2%
( 1360
 
6.9%
) 1359
 
6.9%
3 835
 
4.2%
5 706
 
3.6%
4 684
 
3.5%
Other values (16) 1824
9.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 43
97.7%
ㅘ 1
 
2.3%
Punctuation
ValueCountFrequency (%)
※ 14
100.0%

처분기간
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)2.6%
Missing7268
Missing (%)89.9%
Infinite0
Infinite (%)0.0%
Mean11.206642
Minimum0
Maximum30
Zeros87
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:32:13.027945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median15
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8901358
Coefficient of variation (CV)0.52559328
Kurtosis-0.038242882
Mean11.206642
Median Absolute Deviation (MAD)5
Skewness-0.25721445
Sum9111
Variance34.6937
MonotonicityNot monotonic
2024-05-11T02:32:13.467155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
15 370
 
4.6%
7 156
 
1.9%
0 87
 
1.1%
10 64
 
0.8%
20 27
 
0.3%
5 19
 
0.2%
17 18
 
0.2%
8 15
 
0.2%
22 9
 
0.1%
11 8
 
0.1%
Other values (11) 40
 
0.5%
(Missing) 7268
89.9%
ValueCountFrequency (%)
0 87
1.1%
1 4
 
< 0.1%
2 4
 
< 0.1%
3 5
 
0.1%
5 19
 
0.2%
6 6
 
0.1%
7 156
1.9%
8 15
 
0.2%
9 5
 
0.1%
10 64
0.8%
ValueCountFrequency (%)
30 6
 
0.1%
26 2
 
< 0.1%
25 3
 
< 0.1%
22 9
 
0.1%
20 27
 
0.3%
17 18
 
0.2%
16 1
 
< 0.1%
15 370
4.6%
13 3
 
< 0.1%
12 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct1736
Distinct (%)44.2%
Missing4152
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean93.883724
Minimum0
Maximum1712.41
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size71.2 KiB
2024-05-11T02:32:14.048756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.5
Q134
median63.2
Q399
95-th percentile273.87
Maximum1712.41
Range1712.41
Interquartile range (IQR)65

Descriptive statistics

Standard deviation127.71654
Coefficient of variation (CV)1.3603694
Kurtosis48.153413
Mean93.883724
Median Absolute Deviation (MAD)32.5
Skewness5.8091289
Sum368869.15
Variance16311.515
MonotonicityNot monotonic
2024-05-11T02:32:14.655018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.4 43
 
0.5%
23.1 34
 
0.4%
29.7 33
 
0.4%
33.0 33
 
0.4%
97.24 32
 
0.4%
66.0 31
 
0.4%
16.5 23
 
0.3%
49.5 22
 
0.3%
42.9 22
 
0.3%
51.5 22
 
0.3%
Other values (1726) 3634
45.0%
(Missing) 4152
51.4%
ValueCountFrequency (%)
0.0 6
0.1%
1.3 2
 
< 0.1%
2.0 1
 
< 0.1%
2.52 1
 
< 0.1%
2.84 1
 
< 0.1%
3.0 1
 
< 0.1%
3.43 1
 
< 0.1%
3.5 1
 
< 0.1%
4.95 4
< 0.1%
5.0 4
< 0.1%
ValueCountFrequency (%)
1712.41 1
 
< 0.1%
1643.27 1
 
< 0.1%
1505.89 4
< 0.1%
1404.89 1
 
< 0.1%
1356.06 1
 
< 0.1%
1318.77 1
 
< 0.1%
1228.0 2
< 0.1%
1211.64 1
 
< 0.1%
1135.75 2
< 0.1%
1033.8 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
<NA>
8043 
직영
 
34
(조합)위탁
 
4

Length

Max length6
Median length4
Mean length3.9925752
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8043
99.5%
직영 34
 
0.4%
(조합)위탁 4
 
< 0.1%

Length

2024-05-11T02:32:15.140597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:15.646938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8043
99.5%
직영 34
 
0.4%
조합)위탁 4
 
< 0.1%

Interactions

2024-05-11T02:31:45.604728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:35.149501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:37.439479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:39.548460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:41.523323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:43.791255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:46.205729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:35.489815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:37.778246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:39.872975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:41.827659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:44.104403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:46.659416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:35.869945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:38.082148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:40.120079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:42.121113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:44.460397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:46.952330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:36.337571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:38.382461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:40.469476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:42.433505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:44.754458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:47.260325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:36.666920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:38.758417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:40.815822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:42.874326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:45.043449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:47.546297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:36.977960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:39.187430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:41.164736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:43.330238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:31:45.328971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:32:16.017564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.4740.4090.5290.9770.9120.4880.1060.626
교부번호0.4741.0000.5950.7120.6120.6040.4860.2820.646
업종명0.4090.5951.0001.0000.4720.4670.5590.582NaN
업태명0.5290.7121.0001.0000.5290.5230.6400.7020.311
지도점검일자0.9770.6120.4720.5291.0000.9690.4930.1310.257
위반일자0.9120.6040.4670.5230.9691.0000.4700.0770.000
처분기간0.4880.4860.5590.6400.4930.4701.0000.000NaN
영업장면적(㎡)0.1060.2820.5820.7020.1310.0770.0001.0000.000
운영형태0.6260.646NaN0.3110.2570.000NaN0.0001.000
2024-05-11T02:32:16.482570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-11T02:32:16.939037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.4640.9990.969-0.143-0.0580.1650.429
교부번호0.4641.0000.4640.477-0.0840.0070.2280.441
지도점검일자0.9990.4641.0000.970-0.145-0.0590.1680.161
위반일자0.9690.4770.9701.000-0.145-0.0380.1650.000
처분기간-0.143-0.084-0.145-0.1451.0000.0230.2710.000
영업장면적(㎡)-0.0580.007-0.059-0.0380.0231.0000.2700.000
업종명0.1650.2280.1680.1650.2710.2701.0001.000
운영형태0.4290.4410.1610.0000.0000.0001.0001.000

Missing values

2024-05-11T02:31:48.009580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:31:48.826143image/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.
2024-05-11T02:31:49.372214image/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(㎡)운영형태
031200002024050819930067004단란주점단란주점아마죤서울특별시 서대문구 신촌로 283, (북아현동)서울특별시 서대문구 북아현동 126번지 44호20231128처분확정영업정지법 제71조 및 법 제75조202308122023.8.12. 22:52경 아마죤 단란주점의 업주 정00는 유흥주점 영업허가를 받지 않은 채 위 단란주점에서 여성 접객원 이00, 김00으로 하여금 성명을 알수 없는 남성 손님이 술을 마시는 자리에 합석하여 함께 술을 마시는 등의 접객 행위를 하도록 함으로써 식품접객업자 준수사항을 위반함영업정지<NA><NA><NA>
131200002024042619930066783단란주점단란주점황금매들리서울특별시 서대문구 응암로 78, (북가좌동,,15,16)서울특별시 서대문구 북가좌동 300번지 14호 ,15,1620240129처분확정영업정지법 제71조 및 법 제75조202310282023.10.28. 18:00~21:45경 영업자가 고용한 피의자 김00를 손님들과 유흥접객행위하도록 하여 영업자 준수사항을 위반함영업정지<NA><NA><NA>
231200002024040520050066395일반음식점기타선인장서울특별시 서대문구 수색로4가길 14-7, (남가좌동,1층)서울특별시 서대문구 남가좌동 295번지 13호 1층20240207처분확정영업소폐쇄법 제71조, 법 제74조, 법 제75조 및 법 제76조20240206영업시설물 멸실영업소폐쇄<NA>13.2<NA>
331200002024040520000066100일반음식점호프/통닭비어시티서울특별시 서대문구 증가로 116, (남가좌동)서울특별시 서대문구 남가좌동 339번지 34호20240207처분확정영업소폐쇄법 제71조, 법 제74조, 법 제75조 및 법 제76조20240206영업시설물 멸실영업소폐쇄<NA><NA><NA>
431200002024040320090039341일반음식점일식고기사랑서울특별시 서대문구 충정로4길 26, 1~2층 (충정로3가)서울특별시 서대문구 충정로3가 345번지 1,2층 전체20240228처분확정시정명령법 제71조, 법 제72조 및 법 제75조20240228조리된 식품에서 이물이 혼입된 사실을 확인함(돌솥뚝배기 파편)시정명령<NA>96.0<NA>
531200002024040320090039341일반음식점일식고기사랑서울특별시 서대문구 충정로4길 26, 1~2층 (충정로3가)서울특별시 서대문구 충정로3가 345번지 1,2층 전체20240228처분확정시정명령법 제71조, 법 제72조 및 법 제75조20240228조리된 식품에서 이물이 혼입된 사실을 확인함(돌솥뚝배기 파편)시정명령<NA><NA><NA>
631200002024040120210067221즉석판매제조가공업즉석판매제조가공업싱싱회포장센터서울특별시 서대문구 수색로2길 14, 1층 (남가좌동)서울특별시 서대문구 남가좌동 102번지 19호20240311처분확정직권말소법 제37조 7항20240311사업자등록 폐업 직권말소직권말소<NA><NA><NA>
731200002024040120220037104즉석판매제조가공업즉석판매제조가공업호감서울특별시 서대문구 증가로 105, 4층 (남가좌동)서울특별시 서대문구 남가좌동 329번지 10호 4층20240311처분확정직권말소법 제37조 7항20240311사업자등록 폐업 직권말소직권말소<NA><NA><NA>
831200002024040120200066672즉석판매제조가공업즉석판매제조가공업이화김치서울특별시 서대문구 거북골로 211, 1층 3호 (북가좌동)서울특별시 서대문구 북가좌동 366번지 18호20240311처분확정직권말소법 제37조 7항20240311사업자등록 폐업 직권말소직권말소<NA><NA><NA>
931200002024040120220037104즉석판매제조가공업즉석판매제조가공업호감서울특별시 서대문구 증가로 105, 4층 (남가좌동)서울특별시 서대문구 남가좌동 329번지 10호 4층20240311처분확정직권말소법 제37조 7항20240311사업자등록 폐업 직권말소직권말소<NA>87.84<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
807131200002001100619990066991일반음식점정종/대포집/소주방제우스<NA>서울특별시 서대문구 창천동 52번지 72호20010902처분확정영업정지2월(2001.10.8-2001.12.7)식품위생법제58조20011109청소년주류제공영업정지2월(2001.10.8-2001.12.7)<NA>122.98<NA>
807231200002001100620000066212일반음식점경양식아우토반<NA>서울특별시 서대문구 북아현동 3번지 198호20010801처분확정영업정지2월(2001.10.8-2001.12.7)식품위생법제58조20010801청소년주류제공영업정지2월(2001.10.8-2001.12.7)<NA>42.9<NA>
807331200002001092920000066347일반음식점분식큐치킨센타<NA>서울특별시 서대문구 연희동 188번지 57호20010420처분확정영업정지1월식품위생법제58조20011109청소년주류제공영업정지1월<NA><NA><NA>
807431200002001092519840066056일반음식점경양식파트너<NA>서울특별시 서대문구 남가좌동 260번지 173호20010925처분확정영업정지3월(2001.10.5-2002.1.4)식품위생법제58조20010925유흥접객행위영업정지3월(2001.10.5-2002.1.4)<NA>18.15<NA>
807531200002001091820010066090일반음식점정종/대포집/소주방마포24시껍데기집<NA>서울특별시 서대문구 창천동 49번지 5호20010918처분확정영업장폐쇄식품위생법제62조20010918영업정지중영업영업장폐쇄<NA><NA><NA>
807631200002001091820010066168일반음식점한식리버풀<NA>서울특별시 서대문구 창천동 53번지 6호 53 -620010809처분확정과태료50만원식품위생법제78조20010809건강진단미필과태료50만원<NA><NA><NA>
807731200002001081719990067203일반음식점정종/대포집/소주방해피데이<NA>서울특별시 서대문구 창천동 33번지 55호20010612처분확정영업소폐쇄식품위생법제62조20011110청소년주류제공3차영업소폐쇄<NA>85.85<NA>
807831200002001072020010066364일반음식점한식비바체<NA>서울특별시 서대문구 북아현동 142번지 2호20010608처분확정시설개수명령식품위생법제57조20010608비상유동등미설치시설개수명령<NA><NA><NA>
807931200002001072019860066243일반음식점한식너스레<NA>서울특별시 서대문구 대현동 101번지 4호20010610처분확정업종미표시식품위생법제55조20020124업종미표시업종미표시<NA>54.57<NA>
808031200001998071319890066075식품제조가공업식품제조가공업엄마손도시락<NA>서울특별시 서대문구 홍제동 157번지 73호19980713처분확정영업소폐쇄식품위생법19980629시설물멸실영업소폐쇄<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
1631200002004051720010066691식품제조가공업식품제조가공업용인김밥<NA>서울특별시 서대문구 현저동 885번지 ,(104-5)20040419처분확정시정명령식위20030501<NA>시정명령<NA><NA><NA>4
4631200002006112420050066027일반음식점한식옥돌구이<NA>서울특별시 서대문구 남가좌동 258번지 67호20061102처분확정과징금56만원(영업정지7일)식품위생법 제21조20061102영업장 무단확장과징금56만원(영업정지7일)724.0<NA>4
4731200002006112420050066027일반음식점한식옥돌구이<NA>서울특별시 서대문구 남가좌동 258번지 67호20061102처분확정과징금56만원(영업정지7일)식품위생법 제21조20061124영업장 무단확장과징금56만원(영업정지7일)724.0<NA>4
6731200002007072019940066078일반음식점한식꼴통<NA>서울특별시 서대문구 남가좌동 324번지 10호20070702처분확정영업정지 2월식품위생법제31조20070702청소년주류제공영업정지 2월<NA><NA><NA>4
7231200002007083119940066078일반음식점한식꼴통<NA>서울특별시 서대문구 남가좌동 324번지 10호20070702처분확정과징금부과식품위생법제31조20070702청소년주류제공과징금부과<NA><NA><NA>4
7431200002007083119940066078일반음식점한식꼴통<NA>서울특별시 서대문구 남가좌동 324번지 10호20070702처분확정영업정지 1개월식품위생법제31조20070702청소년주류제공영업정지 1개월<NA><NA><NA>4
8331200002008040119910066572유흥주점영업비어(바)살롱이원<NA>서울특별시 서대문구 창천동 18번지 13호20080228처분확정과태료부과 60만원식품위생법제26조200802282008. 2. 28. 22:10경 종업원(3/4명)이 건강진단을 미필하여 적발과태료부과 60만원<NA><NA><NA>4
11931200002011051720070066172식품등 수입판매업식품등 수입판매업주식회사 케이쿼크<NA>서울특별시 서대문구 연희동 334번지 29호 (2층)20110310처분확정영업소폐쇄식품위생법 74조20110310영업시설물 전부를 철거영업소폐쇄<NA><NA><NA>4
14131200002012111420050066484건강기능식품수입업건강기능식품수입업목민ASSOCIATION<NA>서울특별시 서대문구 충정로2가 191번지 골든타워-131420121030처분확정영업소폐쇄건강기능식품에관한법률제32조제1항9호20121030정당한 사유없이 계속하여 6월이상 휴업영업소폐쇄<NA><NA><NA>4
15831200002015060819990067046일반음식점한식봉구비어(신촌명물거리점) 2호점서울특별시 서대문구 명물길 41, (창천동)서울특별시 서대문구 창천동 2번지 33호20150518처분확정시정명령식품위생법제71조20150518영업장외 영업시정명령<NA>63.0<NA>4