Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells15388
Missing cells (%)9.6%
Duplicate rows167
Duplicate rows (%)1.7%
Total size in memory1.3 MiB
Average record size in memory141.0 B

Variable types

Numeric5
Text9
Categorical2

Dataset

Description처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13635/S/1/datasetView.do

Alerts

행정처분상태 has constant value ""Constant
Dataset has 167 (1.7%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
업종명 is highly imbalanced (54.0%)Imbalance
소재지도로명 has 111 (1.1%) missing valuesMissing
처분기간 has 9211 (92.1%) missing valuesMissing
영업장면적(㎡) has 6012 (60.1%) missing valuesMissing
처분일자 is highly skewed (γ1 = 69.53822639)Skewed
영업장면적(㎡) is highly skewed (γ1 = 41.41002118)Skewed

Reproduction

Analysis started2024-04-29 16:58:20.491877
Analysis finished2024-04-29 16:58:27.515271
Duration7.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

처분일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct938
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221026
Minimum20200708
Maximum30070911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:58:27.597233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200708
5-th percentile20200901
Q120210416
median20220112
Q320230711
95-th percentile20240115
Maximum30070911
Range9870203
Interquartile range (IQR)20295

Descriptive statistics

Standard deviation139815.05
Coefficient of variation (CV)0.0069143399
Kurtosis4887.3074
Mean20221026
Median Absolute Deviation (MAD)10503.5
Skewness69.538226
Sum2.0221026 × 1011
Variance1.9548248 × 1010
MonotonicityNot monotonic
2024-04-30T01:58:27.730783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230711 302
 
3.0%
20211224 196
 
2.0%
20231122 160
 
1.6%
20201215 119
 
1.2%
20230303 96
 
1.0%
20201222 80
 
0.8%
20201026 80
 
0.8%
20220111 75
 
0.8%
20211201 73
 
0.7%
20211101 58
 
0.6%
Other values (928) 8761
87.6%
ValueCountFrequency (%)
20200708 13
0.1%
20200709 3
 
< 0.1%
20200710 3
 
< 0.1%
20200713 16
0.2%
20200714 6
 
0.1%
20200715 11
 
0.1%
20200716 28
0.3%
20200717 11
 
0.1%
20200720 14
0.1%
20200721 6
 
0.1%
ValueCountFrequency (%)
30070911 1
 
< 0.1%
30031020 1
 
< 0.1%
20800317 1
 
< 0.1%
20700714 1
 
< 0.1%
20240419 2
 
< 0.1%
20240416 5
0.1%
20240415 6
0.1%
20240412 1
 
< 0.1%
20240409 9
0.1%
20240408 1
 
< 0.1%

교부번호
Text

Distinct7990
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:58:27.955915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.7006
Min length1

Characters and Unicode

Total characters107006
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6716 ?
Unique (%)67.2%

Sample

1st row20210120343
2nd row20150066196
3rd row20040098574
4th row19880098541
5th row20030121254
ValueCountFrequency (%)
19940098759 29
 
0.3%
20200108048 18
 
0.2%
20200033656 13
 
0.1%
20050042442 13
 
0.1%
20070033354 12
 
0.1%
19990040044 11
 
0.1%
20170094512 10
 
0.1%
20200051044 9
 
0.1%
20120099269 9
 
0.1%
20080066348 9
 
0.1%
Other values (7981) 9869
98.7%
2024-04-30T01:58:28.264663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34562
32.3%
2 15519
14.5%
1 13908
13.0%
9 9228
 
8.6%
6 6167
 
5.8%
3 5888
 
5.5%
5 5459
 
5.1%
8 5418
 
5.1%
4 5348
 
5.0%
7 5099
 
4.8%
Other values (21) 410
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106596
99.6%
Dash Punctuation 364
 
0.3%
Other Letter 44
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 9
20.5%
미 8
18.2%
탁 5
11.4%
세 5
11.4%
숙 2
 
4.5%
박 2
 
4.5%
초 1
 
2.3%
이 1
 
2.3%
북 1
 
2.3%
강 1
 
2.3%
Other values (9) 9
20.5%
Decimal Number
ValueCountFrequency (%)
0 34562
32.4%
2 15519
14.6%
1 13908
13.0%
9 9228
 
8.7%
6 6167
 
5.8%
3 5888
 
5.5%
5 5459
 
5.1%
8 5418
 
5.1%
4 5348
 
5.0%
7 5099
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106962
> 99.9%
Hangul 44
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 9
20.5%
미 8
18.2%
탁 5
11.4%
세 5
11.4%
숙 2
 
4.5%
박 2
 
4.5%
초 1
 
2.3%
이 1
 
2.3%
북 1
 
2.3%
강 1
 
2.3%
Other values (9) 9
20.5%
Common
ValueCountFrequency (%)
0 34562
32.3%
2 15519
14.5%
1 13908
13.0%
9 9228
 
8.6%
6 6167
 
5.8%
3 5888
 
5.5%
5 5459
 
5.1%
8 5418
 
5.1%
4 5348
 
5.0%
7 5099
 
4.8%
Other values (2) 366
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106962
> 99.9%
Hangul 44
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34562
32.3%
2 15519
14.5%
1 13908
13.0%
9 9228
 
8.6%
6 6167
 
5.8%
3 5888
 
5.5%
5 5459
 
5.1%
8 5418
 
5.1%
4 5348
 
5.0%
7 5099
 
4.8%
Other values (2) 366
 
0.3%
Hangul
ValueCountFrequency (%)
용 9
20.5%
미 8
18.2%
탁 5
11.4%
세 5
11.4%
숙 2
 
4.5%
박 2
 
4.5%
초 1
 
2.3%
이 1
 
2.3%
북 1
 
2.3%
강 1
 
2.3%
Other values (9) 9
20.5%

업종명
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6113 
휴게음식점
890 
즉석판매제조가공업
 
449
유통전문판매업
 
442
건강기능식품일반판매업
 
392
Other values (35)
1714 

Length

Max length23
Median length5
Mean length5.7096
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 6113
61.1%
휴게음식점 890
 
8.9%
즉석판매제조가공업 449
 
4.5%
유통전문판매업 442
 
4.4%
건강기능식품일반판매업 392
 
3.9%
유흥주점영업 249
 
2.5%
단란주점 221
 
2.2%
식품제조가공업 221
 
2.2%
제과점영업 125
 
1.2%
숙박업(일반) 122
 
1.2%
Other values (30) 776
 
7.8%

Length

2024-04-30T01:58:28.397406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6113
60.7%
휴게음식점 890
 
8.8%
즉석판매제조가공업 449
 
4.5%
유통전문판매업 442
 
4.4%
건강기능식품일반판매업 392
 
3.9%
유흥주점영업 249
 
2.5%
단란주점 221
 
2.2%
식품제조가공업 221
 
2.2%
제과점영업 125
 
1.2%
숙박업(일반 122
 
1.2%
Other values (21) 842
 
8.4%

업태명
Text

Distinct97
Distinct (%)1.0%
Missing33
Missing (%)0.3%
Memory size156.2 KiB
2024-04-30T01:58:28.604892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.3089194
Min length2

Characters and Unicode

Total characters42947
Distinct characters180
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

Unique7 ?
Unique (%)0.1%

Sample

1st row일식
2nd row커피숍
3rd row일반조리판매
4th row한식
5th row한식
ValueCountFrequency (%)
한식 2435
23.6%
기타 1200
 
11.6%
호프/통닭 661
 
6.4%
경양식 544
 
5.3%
즉석판매제조가공업 448
 
4.3%
유통전문판매업 442
 
4.3%
커피숍 359
 
3.5%
중국식 343
 
3.3%
분식 342
 
3.3%
일식 254
 
2.5%
Other values (88) 3303
32.0%
2024-04-30T01:58:28.957608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4768
 
11.1%
업 2469
 
5.7%
한 2449
 
5.7%
매 1553
 
3.6%
판 1540
 
3.6%
통 1519
 
3.5%
기 1349
 
3.1%
타 1228
 
2.9%
/ 947
 
2.2%
조 840
 
2.0%
Other values (170) 24285
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40573
94.5%
Other Punctuation 1022
 
2.4%
Open Punctuation 474
 
1.1%
Close Punctuation 474
 
1.1%
Space Separator 364
 
0.8%
Math Symbol 40
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4768
 
11.8%
업 2469
 
6.1%
한 2449
 
6.0%
매 1553
 
3.8%
판 1540
 
3.8%
통 1519
 
3.7%
기 1349
 
3.3%
타 1228
 
3.0%
조 840
 
2.1%
제 798
 
2.0%
Other values (163) 22060
54.4%
Other Punctuation
ValueCountFrequency (%)
/ 947
92.7%
, 74
 
7.2%
. 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 474
100.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Math Symbol
ValueCountFrequency (%)
+ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40573
94.5%
Common 2374
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4768
 
11.8%
업 2469
 
6.1%
한 2449
 
6.0%
매 1553
 
3.8%
판 1540
 
3.8%
통 1519
 
3.7%
기 1349
 
3.3%
타 1228
 
3.0%
조 840
 
2.1%
제 798
 
2.0%
Other values (163) 22060
54.4%
Common
ValueCountFrequency (%)
/ 947
39.9%
( 474
20.0%
) 474
20.0%
364
 
15.3%
, 74
 
3.1%
+ 40
 
1.7%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40573
94.5%
ASCII 2374
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4768
 
11.8%
업 2469
 
6.1%
한 2449
 
6.0%
매 1553
 
3.8%
판 1540
 
3.8%
통 1519
 
3.7%
기 1349
 
3.3%
타 1228
 
3.0%
조 840
 
2.1%
제 798
 
2.0%
Other values (163) 22060
54.4%
ASCII
ValueCountFrequency (%)
/ 947
39.9%
( 474
20.0%
) 474
20.0%
364
 
15.3%
, 74
 
3.1%
+ 40
 
1.7%
. 1
 
< 0.1%

업소명
Text

Distinct7772
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:58:29.180018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length32
Mean length6.6078
Min length1

Characters and Unicode

Total characters66078
Distinct characters1078
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6398 ?
Unique (%)64.0%

Sample

1st row미화동
2nd row리치망고
3rd row레드모노(red mono)
4th row자연사랑 생태찌개
5th row명륜진사갈비 강동역점
ValueCountFrequency (%)
주식회사 272
 
2.1%
카페 29
 
0.2%
방배족발 29
 
0.2%
강남점 19
 
0.1%
주 17
 
0.1%
커피 16
 
0.1%
본점 16
 
0.1%
16
 
0.1%
coffee 15
 
0.1%
마라탕 15
 
0.1%
Other values (8870) 12672
96.6%
2024-04-30T01:58:29.548876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3120
 
4.7%
이 1731
 
2.6%
점 1423
 
2.2%
) 1408
 
2.1%
( 1405
 
2.1%
스 1344
 
2.0%
주 1195
 
1.8%
리 944
 
1.4%
식 713
 
1.1%
사 651
 
1.0%
Other values (1068) 52144
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53924
81.6%
Space Separator 3120
 
4.7%
Lowercase Letter 2537
 
3.8%
Uppercase Letter 2370
 
3.6%
Close Punctuation 1409
 
2.1%
Open Punctuation 1406
 
2.1%
Decimal Number 997
 
1.5%
Other Punctuation 262
 
0.4%
Dash Punctuation 34
 
0.1%
Letter Number 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1731
 
3.2%
점 1423
 
2.6%
스 1344
 
2.5%
주 1195
 
2.2%
리 944
 
1.8%
식 713
 
1.3%
사 651
 
1.2%
라 606
 
1.1%
대 546
 
1.0%
마 545
 
1.0%
Other values (983) 44226
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 345
13.6%
a 305
12.0%
o 216
 
8.5%
r 189
 
7.4%
n 162
 
6.4%
s 151
 
6.0%
i 136
 
5.4%
l 125
 
4.9%
t 118
 
4.7%
c 96
 
3.8%
Other values (16) 694
27.4%
Uppercase Letter
ValueCountFrequency (%)
A 202
 
8.5%
E 169
 
7.1%
C 164
 
6.9%
S 153
 
6.5%
B 151
 
6.4%
O 138
 
5.8%
T 131
 
5.5%
N 127
 
5.4%
I 112
 
4.7%
R 108
 
4.6%
Other values (16) 915
38.6%
Other Punctuation
ValueCountFrequency (%)
& 104
39.7%
. 68
26.0%
, 35
 
13.4%
' 13
 
5.0%
？ 9
 
3.4%
? 8
 
3.1%
# 7
 
2.7%
! 7
 
2.7%
/ 5
 
1.9%
: 4
 
1.5%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 183
18.4%
0 161
16.1%
1 141
14.1%
3 91
9.1%
8 89
8.9%
7 78
7.8%
9 76
7.6%
4 76
7.6%
5 68
 
6.8%
6 34
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
< 1
33.3%
> 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1408
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1405
99.9%
[ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
81.2%
Ⅰ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
3120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53900
81.6%
Common 7231
 
10.9%
Latin 4923
 
7.5%
Han 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1731
 
3.2%
점 1423
 
2.6%
스 1344
 
2.5%
주 1195
 
2.2%
리 944
 
1.8%
식 713
 
1.3%
사 651
 
1.2%
라 606
 
1.1%
대 546
 
1.0%
마 545
 
1.0%
Other values (962) 44202
82.0%
Latin
ValueCountFrequency (%)
e 345
 
7.0%
a 305
 
6.2%
o 216
 
4.4%
A 202
 
4.1%
r 189
 
3.8%
E 169
 
3.4%
C 164
 
3.3%
n 162
 
3.3%
S 153
 
3.1%
s 151
 
3.1%
Other values (44) 2867
58.2%
Common
ValueCountFrequency (%)
3120
43.1%
) 1408
19.5%
( 1405
19.4%
2 183
 
2.5%
0 161
 
2.2%
1 141
 
1.9%
& 104
 
1.4%
3 91
 
1.3%
8 89
 
1.2%
7 78
 
1.1%
Other values (21) 451
 
6.2%
Han
ValueCountFrequency (%)
井 3
 
12.5%
愛 2
 
8.3%
秀 1
 
4.2%
美 1
 
4.2%
貴 1
 
4.2%
信 1
 
4.2%
三 1
 
4.2%
丁 1
 
4.2%
目 1
 
4.2%
小 1
 
4.2%
Other values (11) 11
45.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53899
81.6%
ASCII 12129
 
18.4%
CJK 23
 
< 0.1%
Number Forms 16
 
< 0.1%
None 9
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3120
25.7%
) 1408
 
11.6%
( 1405
 
11.6%
e 345
 
2.8%
a 305
 
2.5%
o 216
 
1.8%
A 202
 
1.7%
r 189
 
1.6%
2 183
 
1.5%
E 169
 
1.4%
Other values (72) 4587
37.8%
Hangul
ValueCountFrequency (%)
이 1731
 
3.2%
점 1423
 
2.6%
스 1344
 
2.5%
주 1195
 
2.2%
리 944
 
1.8%
식 713
 
1.3%
사 651
 
1.2%
라 606
 
1.1%
대 546
 
1.0%
마 545
 
1.0%
Other values (961) 44201
82.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
81.2%
Ⅰ 3
 
18.8%
None
ValueCountFrequency (%)
？ 9
100.0%
CJK
ValueCountFrequency (%)
井 3
 
13.0%
愛 2
 
8.7%
秀 1
 
4.3%
美 1
 
4.3%
貴 1
 
4.3%
信 1
 
4.3%
三 1
 
4.3%
丁 1
 
4.3%
目 1
 
4.3%
小 1
 
4.3%
Other values (10) 10
43.5%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

소재지도로명
Text

MISSING 

Distinct7876
Distinct (%)79.6%
Missing111
Missing (%)1.1%
Memory size156.2 KiB
2024-04-30T01:58:29.917052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length66
Mean length33.577611
Min length21

Characters and Unicode

Total characters332049
Distinct characters611
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6604 ?
Unique (%)66.8%

Sample

1st row서울특별시 강동구 천호대로 1089, 지1층 비114호 (천호동, 강동역 신동아 파밀리에)
2nd row서울특별시 서대문구 신촌로 83, 지하1층 (창천동, 현대백화점신촌점)
3rd row서울특별시 서초구 신반포로 176, (반포동,신세계백화점 지하1층 행사매장내)
4th row서울특별시 서초구 강남대로43길 16, (서초동)
5th row서울특별시 강동구 성안로 115, (성내동)
ValueCountFrequency (%)
서울특별시 9889
 
15.7%
1층 3118
 
4.9%
강남구 978
 
1.5%
지하1층 925
 
1.5%
서초구 802
 
1.3%
광진구 702
 
1.1%
송파구 660
 
1.0%
마포구 659
 
1.0%
2층 625
 
1.0%
강서구 500
 
0.8%
Other values (8409) 44328
70.2%
2024-04-30T01:58:30.412480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53317
 
16.1%
1 16884
 
5.1%
, 13606
 
4.1%
동 13150
 
4.0%
서 12670
 
3.8%
구 10751
 
3.2%
로 10641
 
3.2%
) 10428
 
3.1%
( 10428
 
3.1%
시 10304
 
3.1%
Other values (601) 169870
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187401
56.4%
Decimal Number 53806
 
16.2%
Space Separator 53317
 
16.1%
Other Punctuation 13640
 
4.1%
Close Punctuation 10432
 
3.1%
Open Punctuation 10432
 
3.1%
Dash Punctuation 1684
 
0.5%
Uppercase Letter 966
 
0.3%
Lowercase Letter 207
 
0.1%
Math Symbol 150
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13150
 
7.0%
서 12670
 
6.8%
구 10751
 
5.7%
로 10641
 
5.7%
시 10304
 
5.5%
울 10005
 
5.3%
별 9896
 
5.3%
특 9889
 
5.3%
층 7565
 
4.0%
길 5884
 
3.1%
Other values (531) 86646
46.2%
Uppercase Letter
ValueCountFrequency (%)
B 327
33.9%
A 107
 
11.1%
C 66
 
6.8%
S 47
 
4.9%
L 47
 
4.9%
G 42
 
4.3%
T 39
 
4.0%
K 33
 
3.4%
I 28
 
2.9%
E 28
 
2.9%
Other values (15) 202
20.9%
Lowercase Letter
ValueCountFrequency (%)
e 29
14.0%
i 24
11.6%
l 23
11.1%
b 20
9.7%
m 13
 
6.3%
a 13
 
6.3%
o 10
 
4.8%
u 9
 
4.3%
t 9
 
4.3%
h 9
 
4.3%
Other values (9) 48
23.2%
Decimal Number
ValueCountFrequency (%)
1 16884
31.4%
2 7969
14.8%
3 5506
 
10.2%
0 4581
 
8.5%
4 4081
 
7.6%
5 3735
 
6.9%
6 3246
 
6.0%
7 2859
 
5.3%
8 2645
 
4.9%
9 2300
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 13606
99.8%
. 22
 
0.2%
& 5
 
< 0.1%
/ 3
 
< 0.1%
？ 2
 
< 0.1%
? 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
57.1%
Ⅱ 5
35.7%
Ⅲ 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 10428
> 99.9%
] 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 10428
> 99.9%
[ 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
53317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1684
100.0%
Math Symbol
ValueCountFrequency (%)
~ 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187399
56.4%
Common 143461
43.2%
Latin 1187
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13150
 
7.0%
서 12670
 
6.8%
구 10751
 
5.7%
로 10641
 
5.7%
시 10304
 
5.5%
울 10005
 
5.3%
별 9896
 
5.3%
특 9889
 
5.3%
층 7565
 
4.0%
길 5884
 
3.1%
Other values (529) 86644
46.2%
Latin
ValueCountFrequency (%)
B 327
27.5%
A 107
 
9.0%
C 66
 
5.6%
S 47
 
4.0%
L 47
 
4.0%
G 42
 
3.5%
T 39
 
3.3%
K 33
 
2.8%
e 29
 
2.4%
I 28
 
2.4%
Other values (37) 422
35.6%
Common
ValueCountFrequency (%)
53317
37.2%
1 16884
 
11.8%
, 13606
 
9.5%
) 10428
 
7.3%
( 10428
 
7.3%
2 7969
 
5.6%
3 5506
 
3.8%
0 4581
 
3.2%
4 4081
 
2.8%
5 3735
 
2.6%
Other values (13) 12926
 
9.0%
Han
ValueCountFrequency (%)
成 1
50.0%
大 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187399
56.4%
ASCII 144632
43.6%
Number Forms 14
 
< 0.1%
None 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53317
36.9%
1 16884
 
11.7%
, 13606
 
9.4%
) 10428
 
7.2%
( 10428
 
7.2%
2 7969
 
5.5%
3 5506
 
3.8%
0 4581
 
3.2%
4 4081
 
2.8%
5 3735
 
2.6%
Other values (56) 14097
 
9.7%
Hangul
ValueCountFrequency (%)
동 13150
 
7.0%
서 12670
 
6.8%
구 10751
 
5.7%
로 10641
 
5.7%
시 10304
 
5.5%
울 10005
 
5.3%
별 9896
 
5.3%
특 9889
 
5.3%
층 7565
 
4.0%
길 5884
 
3.1%
Other values (529) 86644
46.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
57.1%
Ⅱ 5
35.7%
Ⅲ 1
 
7.1%
None
ValueCountFrequency (%)
？ 2
100.0%
CJK
ValueCountFrequency (%)
成 1
50.0%
大 1
50.0%

소재지지번
Text

Distinct7707
Distinct (%)77.2%
Missing20
Missing (%)0.2%
Memory size156.2 KiB
2024-04-30T01:58:30.732150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length58
Mean length29.287575
Min length20

Characters and Unicode

Total characters292290
Distinct characters572
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6328 ?
Unique (%)63.4%

Sample

1st row서울특별시 강동구 천호동 447번지 17호 강동역 신동아 파밀리에
2nd row서울특별시 서대문구 창천동 30번지 33호
3rd row서울특별시 서초구 반포동 19번지 3호 신세계백화점 지하1층 행사매장내
4th row서울특별시 서초구 서초동 1357번지 73호
5th row서울특별시 강동구 성내동 383번지 18호
ValueCountFrequency (%)
서울특별시 9980
 
17.6%
1층 1227
 
2.2%
강남구 981
 
1.7%
1호 861
 
1.5%
서초구 806
 
1.4%
광진구 702
 
1.2%
송파구 660
 
1.2%
마포구 657
 
1.2%
2호 571
 
1.0%
강서구 500
 
0.9%
Other values (4854) 39807
70.1%
2024-04-30T01:58:31.373022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70878
24.2%
1 13407
 
4.6%
서 12317
 
4.2%
지 12143
 
4.2%
동 11811
 
4.0%
구 10682
 
3.7%
시 10248
 
3.5%
울 10037
 
3.4%
번 10027
 
3.4%
별 9990
 
3.4%
Other values (562) 120750
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 165246
56.5%
Space Separator 70878
24.2%
Decimal Number 52001
 
17.8%
Dash Punctuation 947
 
0.3%
Open Punctuation 856
 
0.3%
Close Punctuation 856
 
0.3%
Uppercase Letter 613
 
0.2%
Other Punctuation 608
 
0.2%
Lowercase Letter 196
 
0.1%
Math Symbol 77
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12317
 
7.5%
지 12143
 
7.3%
동 11811
 
7.1%
구 10682
 
6.5%
시 10248
 
6.2%
울 10037
 
6.1%
번 10027
 
6.1%
별 9990
 
6.0%
특 9980
 
6.0%
호 9473
 
5.7%
Other values (490) 58538
35.4%
Uppercase Letter
ValueCountFrequency (%)
B 155
25.3%
A 59
 
9.6%
S 41
 
6.7%
C 37
 
6.0%
K 31
 
5.1%
T 29
 
4.7%
L 25
 
4.1%
I 25
 
4.1%
R 23
 
3.8%
G 23
 
3.8%
Other values (15) 165
26.9%
Lowercase Letter
ValueCountFrequency (%)
e 30
15.3%
i 24
12.2%
l 23
11.7%
m 13
 
6.6%
a 13
 
6.6%
s 11
 
5.6%
o 10
 
5.1%
t 10
 
5.1%
u 9
 
4.6%
h 9
 
4.6%
Other values (9) 44
22.4%
Decimal Number
ValueCountFrequency (%)
1 13407
25.8%
2 7034
13.5%
3 5477
10.5%
4 4533
 
8.7%
5 4157
 
8.0%
0 4132
 
7.9%
6 3815
 
7.3%
7 3296
 
6.3%
8 3115
 
6.0%
9 3035
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 554
91.1%
? 21
 
3.5%
. 19
 
3.1%
& 6
 
1.0%
/ 3
 
0.5%
@ 2
 
0.3%
: 2
 
0.3%
？ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 6
50.0%
Ⅱ 5
41.7%
Ⅲ 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 852
99.5%
[ 4
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 852
99.5%
] 4
 
0.5%
Space Separator
ValueCountFrequency (%)
70878
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 947
100.0%
Math Symbol
ValueCountFrequency (%)
~ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 165244
56.5%
Common 126223
43.2%
Latin 821
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12317
 
7.5%
지 12143
 
7.3%
동 11811
 
7.1%
구 10682
 
6.5%
시 10248
 
6.2%
울 10037
 
6.1%
번 10027
 
6.1%
별 9990
 
6.0%
특 9980
 
6.0%
호 9473
 
5.7%
Other values (488) 58536
35.4%
Latin
ValueCountFrequency (%)
B 155
18.9%
A 59
 
7.2%
S 41
 
5.0%
C 37
 
4.5%
K 31
 
3.8%
e 30
 
3.7%
T 29
 
3.5%
L 25
 
3.0%
I 25
 
3.0%
i 24
 
2.9%
Other values (37) 365
44.5%
Common
ValueCountFrequency (%)
70878
56.2%
1 13407
 
10.6%
2 7034
 
5.6%
3 5477
 
4.3%
4 4533
 
3.6%
5 4157
 
3.3%
0 4132
 
3.3%
6 3815
 
3.0%
7 3296
 
2.6%
8 3115
 
2.5%
Other values (15) 6379
 
5.1%
Han
ValueCountFrequency (%)
大 1
50.0%
成 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 165244
56.5%
ASCII 127031
43.5%
Number Forms 12
 
< 0.1%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70878
55.8%
1 13407
 
10.6%
2 7034
 
5.5%
3 5477
 
4.3%
4 4533
 
3.6%
5 4157
 
3.3%
0 4132
 
3.3%
6 3815
 
3.0%
7 3296
 
2.6%
8 3115
 
2.5%
Other values (58) 7187
 
5.7%
Hangul
ValueCountFrequency (%)
서 12317
 
7.5%
지 12143
 
7.3%
동 11811
 
7.1%
구 10682
 
6.5%
시 10248
 
6.2%
울 10037
 
6.1%
번 10027
 
6.1%
별 9990
 
6.0%
특 9980
 
6.0%
호 9473
 
5.7%
Other values (488) 58536
35.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 6
50.0%
Ⅱ 5
41.7%
Ⅲ 1
 
8.3%
None
ValueCountFrequency (%)
？ 1
100.0%
CJK
ValueCountFrequency (%)
大 1
50.0%
成 1
50.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION 

Distinct1160
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20217052
Minimum20030730
Maximum20240318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:58:31.498682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030730
5-th percentile20200207
Q120210124
median20211129
Q320230627
95-th percentile20231208
Maximum20240318
Range209588
Interquartile range (IQR)20502.5

Descriptive statistics

Standard deviation13309.465
Coefficient of variation (CV)0.00065832864
Kurtosis6.5487893
Mean20217052
Median Absolute Deviation (MAD)10419
Skewness-0.67406326
Sum2.0217052 × 1011
Variance1.7714185 × 108
MonotonicityNot monotonic
2024-04-30T01:58:31.626800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200101 302
 
3.0%
20230711 279
 
2.8%
20211129 187
 
1.9%
20210401 154
 
1.5%
20210101 100
 
1.0%
20230125 73
 
0.7%
20191231 72
 
0.7%
20211222 69
 
0.7%
20210829 68
 
0.7%
20230703 63
 
0.6%
Other values (1150) 8633
86.3%
ValueCountFrequency (%)
20030730 1
< 0.1%
20070911 1
< 0.1%
20080220 1
< 0.1%
20080427 1
< 0.1%
20100617 1
< 0.1%
20171208 2
< 0.1%
20180927 1
< 0.1%
20181231 1
< 0.1%
20190102 2
< 0.1%
20190111 2
< 0.1%
ValueCountFrequency (%)
20240318 2
 
< 0.1%
20240317 1
 
< 0.1%
20240315 1
 
< 0.1%
20240314 5
0.1%
20240313 4
< 0.1%
20240312 2
 
< 0.1%
20240311 4
< 0.1%
20240309 2
 
< 0.1%
20240307 2
 
< 0.1%
20240306 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
처분확정
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처분확정 10000
100.0%

Length

2024-04-30T01:58:31.745967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:58:31.844052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1349
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:58:32.042769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length91
Mean length9.5364
Min length2

Characters and Unicode

Total characters95364
Distinct characters265
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique903 ?
Unique (%)9.0%

Sample

1st row과태료부과
2nd row영업소폐쇄(직권말소)
3rd row과태료부과
4th row영업정지
5th row과태료부과
ValueCountFrequency (%)
과태료부과 3720
22.1%
시정명령 1354
 
8.0%
영업정지 875
 
5.2%
과태료 799
 
4.7%
부과 647
 
3.8%
직권말소 590
 
3.5%
10만원 386
 
2.3%
영업소폐쇄 340
 
2.0%
20만원 324
 
1.9%
과징금부과 319
 
1.9%
Other values (1553) 7478
44.4%
2024-04-30T01:58:32.588408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 11384
 
11.9%
6838
 
7.2%
부 6350
 
6.7%
료 5541
 
5.8%
태 5323
 
5.6%
0 4203
 
4.4%
2 3336
 
3.5%
1 2946
 
3.1%
정 2905
 
3.0%
원 2850
 
3.0%
Other values (255) 43688
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66825
70.1%
Decimal Number 14024
 
14.7%
Space Separator 6838
 
7.2%
Other Punctuation 3370
 
3.5%
Close Punctuation 1929
 
2.0%
Open Punctuation 1929
 
2.0%
Math Symbol 282
 
0.3%
Dash Punctuation 164
 
0.2%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.3%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (225) 23661
35.4%
Decimal Number
ValueCountFrequency (%)
0 4203
30.0%
2 3336
23.8%
1 2946
21.0%
6 703
 
5.0%
5 688
 
4.9%
8 570
 
4.1%
4 530
 
3.8%
3 520
 
3.7%
7 287
 
2.0%
9 241
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 2318
68.8%
, 538
 
16.0%
% 307
 
9.1%
/ 101
 
3.0%
: 74
 
2.2%
※ 30
 
0.9%
* 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 237
84.0%
→ 38
 
13.5%
+ 6
 
2.1%
▷ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1904
98.7%
] 24
 
1.2%
} 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1904
98.7%
[ 24
 
1.2%
{ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66825
70.1%
Common 28539
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.3%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (225) 23661
35.4%
Common
ValueCountFrequency (%)
6838
24.0%
0 4203
14.7%
2 3336
11.7%
1 2946
10.3%
. 2318
 
8.1%
) 1904
 
6.7%
( 1904
 
6.7%
6 703
 
2.5%
5 688
 
2.4%
8 570
 
2.0%
Other values (20) 3129
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66771
70.0%
ASCII 28470
29.9%
Compat Jamo 54
 
0.1%
Arrows 38
 
< 0.1%
Punctuation 30
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.4%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (224) 23607
35.4%
ASCII
ValueCountFrequency (%)
6838
24.0%
0 4203
14.8%
2 3336
11.7%
1 2946
10.3%
. 2318
 
8.1%
) 1904
 
6.7%
( 1904
 
6.7%
6 703
 
2.5%
5 688
 
2.4%
8 570
 
2.0%
Other values (17) 3060
10.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 54
100.0%
Arrows
ValueCountFrequency (%)
→ 38
100.0%
Punctuation
ValueCountFrequency (%)
※ 30
100.0%
Geometric Shapes
ValueCountFrequency (%)
▷ 1
100.0%

법적근거
Text

Distinct158
Distinct (%)1.6%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-30T01:58:32.868185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length39
Mean length14.259226
Min length4

Characters and Unicode

Total characters142578
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)0.6%

Sample

1st row법 제101조제4항1호
2nd row법 제101조제4항1호
3rd row법 제101조제4항1호
4th row법 제71조, 법 제72조 및 법 제75조
5th row법 제101조제4항1호
ValueCountFrequency (%)
법 14267
41.8%
제75조 2998
 
8.8%
및 2879
 
8.4%
제71조 2502
 
7.3%
제101조제4항1호 2221
 
6.5%
제74조 1082
 
3.2%
제101조제2항제1호 1044
 
3.1%
제37조 711
 
2.1%
7항 711
 
2.1%
제72조 573
 
1.7%
Other values (164) 5147
 
15.1%
2024-04-30T01:58:33.290323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24200
17.0%
제 23454
16.4%
1 16772
11.8%
조 15177
10.6%
법 14520
10.2%
7 10020
7.0%
항 6501
 
4.6%
호 5144
 
3.6%
4 4402
 
3.1%
0 4397
 
3.1%
Other values (98) 17991
12.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69998
49.1%
Decimal Number 46247
32.4%
Space Separator 24200
 
17.0%
Other Punctuation 2099
 
1.5%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Control 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 23454
33.5%
조 15177
21.7%
법 14520
20.7%
항 6501
 
9.3%
호 5144
 
7.3%
및 2879
 
4.1%
영 386
 
0.6%
지 228
 
0.3%
부 226
 
0.3%
까 224
 
0.3%
Other values (75) 1259
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 16772
36.3%
7 10020
21.7%
4 4402
 
9.5%
0 4397
 
9.5%
2 3530
 
7.6%
5 3038
 
6.6%
3 1896
 
4.1%
6 1531
 
3.3%
8 510
 
1.1%
9 151
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 2087
99.4%
? 7
 
0.3%
. 3
 
0.1%
: 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 8
50.0%
」 5
31.2%
] 3
 
18.8%
Open Punctuation
ValueCountFrequency (%)
( 8
50.0%
「 5
31.2%
[ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
24200
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72579
50.9%
Hangul 69998
49.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 23454
33.5%
조 15177
21.7%
법 14520
20.7%
항 6501
 
9.3%
호 5144
 
7.3%
및 2879
 
4.1%
영 386
 
0.6%
지 228
 
0.3%
부 226
 
0.3%
까 224
 
0.3%
Other values (75) 1259
 
1.8%
Common
ValueCountFrequency (%)
24200
33.3%
1 16772
23.1%
7 10020
13.8%
4 4402
 
6.1%
0 4397
 
6.1%
2 3530
 
4.9%
5 3038
 
4.2%
, 2087
 
2.9%
3 1896
 
2.6%
6 1531
 
2.1%
Other values (12) 706
 
1.0%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72569
50.9%
Hangul 69997
49.1%
None 10
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24200
33.3%
1 16772
23.1%
7 10020
13.8%
4 4402
 
6.1%
0 4397
 
6.1%
2 3530
 
4.9%
5 3038
 
4.2%
, 2087
 
2.9%
3 1896
 
2.6%
6 1531
 
2.1%
Other values (10) 696
 
1.0%
Hangul
ValueCountFrequency (%)
제 23454
33.5%
조 15177
21.7%
법 14520
20.7%
항 6501
 
9.3%
호 5144
 
7.3%
및 2879
 
4.1%
영 386
 
0.6%
지 228
 
0.3%
부 226
 
0.3%
까 224
 
0.3%
Other values (74) 1258
 
1.8%
None
ValueCountFrequency (%)
」 5
50.0%
「 5
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct1372
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20214172
Minimum19870420
Maximum20240402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:58:33.433692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870420
5-th percentile20200101
Q120201231
median20211108
Q320230209
95-th percentile20231124
Maximum20240402
Range369982
Interquartile range (IQR)28978

Descriptive statistics

Standard deviation21854.821
Coefficient of variation (CV)0.0010811633
Kurtosis57.112295
Mean20214172
Median Absolute Deviation (MAD)10300
Skewness-5.754229
Sum2.0214172 × 1011
Variance4.7763319 × 108
MonotonicityNot monotonic
2024-04-30T01:58:33.574071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 765
 
7.6%
20200101 343
 
3.4%
20210401 321
 
3.2%
20221231 229
 
2.3%
20211129 182
 
1.8%
20191231 133
 
1.3%
20220301 115
 
1.1%
20201231 99
 
1.0%
20210101 96
 
1.0%
20211222 75
 
0.8%
Other values (1362) 7642
76.4%
ValueCountFrequency (%)
19870420 1
< 0.1%
19900630 1
< 0.1%
19901231 1
< 0.1%
19931130 1
< 0.1%
19931205 1
< 0.1%
19941214 1
< 0.1%
19950109 1
< 0.1%
19950603 1
< 0.1%
19960930 1
< 0.1%
19961130 1
< 0.1%
ValueCountFrequency (%)
20240402 1
 
< 0.1%
20240318 1
 
< 0.1%
20240317 1
 
< 0.1%
20240315 1
 
< 0.1%
20240314 3
< 0.1%
20240313 5
0.1%
20240312 2
 
< 0.1%
20240311 3
< 0.1%
20240309 2
 
< 0.1%
20240308 1
 
< 0.1%

위반내용
Text

Distinct3827
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:58:33.861212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length333
Median length269
Mean length25.3496
Min length1

Characters and Unicode

Total characters253496
Distinct characters861
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2822 ?
Unique (%)28.2%

Sample

1st row2022. 위생교육 미이수
2nd row2020년도 식품위생교육 미수료(1차)
3rd row2020년도 위생교육 미필
4th row이물혼입(1차위반) - 2023. 1. 9. 밑반찬(가자미무침)에 3cm 크기 철수세미 조각 혼입
5th row2022년 위생교육 미수료
ValueCountFrequency (%)
위생교육 2555
 
5.0%
미수료 1380
 
2.7%
미이수 1220
 
2.4%
기존영업자 1099
 
2.1%
802
 
1.6%
2022년 760
 
1.5%
식품위생교육 676
 
1.3%
2020년 576
 
1.1%
미필 538
 
1.0%
및 509
 
1.0%
Other values (7494) 41310
80.3%
2024-04-30T01:58:34.344313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42429
 
16.7%
2 12431
 
4.9%
0 8657
 
3.4%
업 7118
 
2.8%
1 6307
 
2.5%
위 5729
 
2.3%
미 5413
 
2.1%
. 5000
 
2.0%
영 4611
 
1.8%
생 4322
 
1.7%
Other values (851) 151479
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160047
63.1%
Space Separator 42430
 
16.7%
Decimal Number 33601
 
13.3%
Other Punctuation 7579
 
3.0%
Close Punctuation 3935
 
1.6%
Open Punctuation 3890
 
1.5%
Dash Punctuation 1100
 
0.4%
Lowercase Letter 334
 
0.1%
Uppercase Letter 292
 
0.1%
Other Symbol 78
 
< 0.1%
Other values (8) 210
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7118
 
4.4%
위 5729
 
3.6%
미 5413
 
3.4%
영 4611
 
2.9%
생 4322
 
2.7%
수 3989
 
2.5%
이 3708
 
2.3%
육 3686
 
2.3%
교 3667
 
2.3%
년 3478
 
2.2%
Other values (747) 114326
71.4%
Uppercase Letter
ValueCountFrequency (%)
O 45
15.4%
U 35
12.0%
L 34
11.6%
C 33
11.3%
F 28
9.6%
N 17
 
5.8%
H 14
 
4.8%
T 12
 
4.1%
A 11
 
3.8%
S 9
 
3.1%
Other values (13) 54
18.5%
Lowercase Letter
ValueCountFrequency (%)
g 95
28.4%
m 67
20.1%
k 32
 
9.6%
e 23
 
6.9%
a 23
 
6.9%
o 18
 
5.4%
l 14
 
4.2%
c 10
 
3.0%
b 8
 
2.4%
r 7
 
2.1%
Other values (10) 37
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 12431
37.0%
0 8657
25.8%
1 6307
18.8%
3 1529
 
4.6%
9 1342
 
4.0%
4 737
 
2.2%
5 729
 
2.2%
6 661
 
2.0%
8 619
 
1.8%
7 589
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 5000
66.0%
, 1045
 
13.8%
: 1012
 
13.4%
/ 254
 
3.4%
? 152
 
2.0%
* 84
 
1.1%
% 19
 
0.3%
？ 6
 
0.1%
※ 4
 
0.1%
; 3
 
< 0.1%
Other Number
ValueCountFrequency (%)
① 11
40.7%
② 7
25.9%
² 3
 
11.1%
④ 1
 
3.7%
⑤ 1
 
3.7%
⑧ 1
 
3.7%
⑦ 1
 
3.7%
③ 1
 
3.7%
⑥ 1
 
3.7%
Other Symbol
ValueCountFrequency (%)
○ 45
57.7%
㎡ 24
30.8%
℃ 3
 
3.8%
□ 2
 
2.6%
▣ 1
 
1.3%
㎖ 1
 
1.3%
▶ 1
 
1.3%
★ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 3793
96.4%
] 90
 
2.3%
】 26
 
0.7%
」 25
 
0.6%
} 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3747
96.3%
[ 94
 
2.4%
【 26
 
0.7%
「 22
 
0.6%
{ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 54
83.1%
+ 10
 
15.4%
▷ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
42429
> 99.9%
　 1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 17
65.4%
“ 9
34.6%
Final Punctuation
ValueCountFrequency (%)
’ 14
63.6%
” 8
36.4%
Dash Punctuation
ValueCountFrequency (%)
- 1100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Control
ValueCountFrequency (%)
18
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 17
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160045
63.1%
Common 92819
36.6%
Latin 630
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7118
 
4.4%
위 5729
 
3.6%
미 5413
 
3.4%
영 4611
 
2.9%
생 4322
 
2.7%
수 3989
 
2.5%
이 3708
 
2.3%
육 3686
 
2.3%
교 3667
 
2.3%
년 3478
 
2.2%
Other values (745) 114324
71.4%
Common
ValueCountFrequency (%)
42429
45.7%
2 12431
 
13.4%
0 8657
 
9.3%
1 6307
 
6.8%
. 5000
 
5.4%
) 3793
 
4.1%
( 3747
 
4.0%
3 1529
 
1.6%
9 1342
 
1.4%
- 1100
 
1.2%
Other values (50) 6484
 
7.0%
Latin
ValueCountFrequency (%)
g 95
15.1%
m 67
 
10.6%
O 45
 
7.1%
U 35
 
5.6%
L 34
 
5.4%
C 33
 
5.2%
k 32
 
5.1%
F 28
 
4.4%
e 23
 
3.7%
a 23
 
3.7%
Other values (34) 215
34.1%
Han
ValueCountFrequency (%)
酒 1
50.0%
類 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160034
63.1%
ASCII 93179
36.8%
None 111
 
< 0.1%
Punctuation 52
 
< 0.1%
Geometric Shapes 50
 
< 0.1%
CJK Compat 25
 
< 0.1%
Enclosed Alphanum 24
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Number Forms 4
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42429
45.5%
2 12431
 
13.3%
0 8657
 
9.3%
1 6307
 
6.8%
. 5000
 
5.4%
) 3793
 
4.1%
( 3747
 
4.0%
3 1529
 
1.6%
9 1342
 
1.4%
- 1100
 
1.2%
Other values (63) 6844
 
7.3%
Hangul
ValueCountFrequency (%)
업 7118
 
4.4%
위 5729
 
3.6%
미 5413
 
3.4%
영 4611
 
2.9%
생 4322
 
2.7%
수 3989
 
2.5%
이 3708
 
2.3%
육 3686
 
2.3%
교 3667
 
2.3%
년 3478
 
2.2%
Other values (743) 114313
71.4%
Geometric Shapes
ValueCountFrequency (%)
○ 45
90.0%
□ 2
 
4.0%
▣ 1
 
2.0%
▶ 1
 
2.0%
▷ 1
 
2.0%
None
ValueCountFrequency (%)
】 26
23.4%
【 26
23.4%
」 25
22.5%
「 22
19.8%
？ 6
 
5.4%
² 3
 
2.7%
Ｉ 2
 
1.8%
　 1
 
0.9%
CJK Compat
ValueCountFrequency (%)
㎡ 24
96.0%
㎖ 1
 
4.0%
Punctuation
ValueCountFrequency (%)
‘ 17
32.7%
’ 14
26.9%
“ 9
17.3%
” 8
15.4%
※ 4
 
7.7%
Enclosed Alphanum
ValueCountFrequency (%)
① 11
45.8%
② 7
29.2%
④ 1
 
4.2%
⑤ 1
 
4.2%
⑧ 1
 
4.2%
⑦ 1
 
4.2%
③ 1
 
4.2%
⑥ 1
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
54.5%
ㅇ 5
45.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
CJK
ValueCountFrequency (%)
酒 1
50.0%
類 1
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

처분내용
Text

Distinct1349
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T01:58:34.569890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length91
Mean length9.5364
Min length2

Characters and Unicode

Total characters95364
Distinct characters265
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique903 ?
Unique (%)9.0%

Sample

1st row과태료부과
2nd row영업소폐쇄(직권말소)
3rd row과태료부과
4th row영업정지
5th row과태료부과
ValueCountFrequency (%)
과태료부과 3720
22.1%
시정명령 1354
 
8.0%
영업정지 875
 
5.2%
과태료 799
 
4.7%
부과 647
 
3.8%
직권말소 590
 
3.5%
10만원 386
 
2.3%
영업소폐쇄 340
 
2.0%
20만원 324
 
1.9%
과징금부과 319
 
1.9%
Other values (1553) 7478
44.4%
2024-04-30T01:58:34.966607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 11384
 
11.9%
6838
 
7.2%
부 6350
 
6.7%
료 5541
 
5.8%
태 5323
 
5.6%
0 4203
 
4.4%
2 3336
 
3.5%
1 2946
 
3.1%
정 2905
 
3.0%
원 2850
 
3.0%
Other values (255) 43688
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66825
70.1%
Decimal Number 14024
 
14.7%
Space Separator 6838
 
7.2%
Other Punctuation 3370
 
3.5%
Close Punctuation 1929
 
2.0%
Open Punctuation 1929
 
2.0%
Math Symbol 282
 
0.3%
Dash Punctuation 164
 
0.2%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.3%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (225) 23661
35.4%
Decimal Number
ValueCountFrequency (%)
0 4203
30.0%
2 3336
23.8%
1 2946
21.0%
6 703
 
5.0%
5 688
 
4.9%
8 570
 
4.1%
4 530
 
3.8%
3 520
 
3.7%
7 287
 
2.0%
9 241
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 2318
68.8%
, 538
 
16.0%
% 307
 
9.1%
/ 101
 
3.0%
: 74
 
2.2%
※ 30
 
0.9%
* 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 237
84.0%
→ 38
 
13.5%
+ 6
 
2.1%
▷ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1904
98.7%
] 24
 
1.2%
} 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1904
98.7%
[ 24
 
1.2%
{ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66825
70.1%
Common 28539
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.3%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (225) 23661
35.4%
Common
ValueCountFrequency (%)
6838
24.0%
0 4203
14.7%
2 3336
11.7%
1 2946
10.3%
. 2318
 
8.1%
) 1904
 
6.7%
( 1904
 
6.7%
6 703
 
2.5%
5 688
 
2.4%
8 570
 
2.0%
Other values (20) 3129
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66771
70.0%
ASCII 28470
29.9%
Compat Jamo 54
 
0.1%
Arrows 38
 
< 0.1%
Punctuation 30
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 11384
17.0%
부 6350
 
9.5%
료 5541
 
8.3%
태 5323
 
8.0%
정 2905
 
4.4%
원 2850
 
4.3%
만 2586
 
3.9%
영 2091
 
3.1%
업 2075
 
3.1%
시 2059
 
3.1%
Other values (224) 23607
35.4%
ASCII
ValueCountFrequency (%)
6838
24.0%
0 4203
14.8%
2 3336
11.7%
1 2946
10.3%
. 2318
 
8.1%
) 1904
 
6.7%
( 1904
 
6.7%
6 703
 
2.5%
5 688
 
2.4%
8 570
 
2.0%
Other values (17) 3060
10.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 54
100.0%
Arrows
ValueCountFrequency (%)
→ 38
100.0%
Punctuation
ValueCountFrequency (%)
※ 30
100.0%
Geometric Shapes
ValueCountFrequency (%)
▷ 1
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)3.0%
Missing9211
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean11.337136
Minimum0
Maximum40
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:58:35.090629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q315
95-th percentile22
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1295574
Coefficient of variation (CV)0.54066191
Kurtosis1.1277929
Mean11.337136
Median Absolute Deviation (MAD)5
Skewness0.71549154
Sum8945
Variance37.571475
MonotonicityNot monotonic
2024-04-30T01:58:35.193916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 305
 
3.0%
7 164
 
1.6%
10 90
 
0.9%
5 74
 
0.7%
2 40
 
0.4%
3 19
 
0.2%
30 17
 
0.2%
20 16
 
0.2%
25 13
 
0.1%
0 11
 
0.1%
Other values (14) 40
 
0.4%
(Missing) 9211
92.1%
ValueCountFrequency (%)
0 11
 
0.1%
1 2
 
< 0.1%
2 40
 
0.4%
3 19
 
0.2%
5 74
0.7%
6 3
 
< 0.1%
7 164
1.6%
8 1
 
< 0.1%
10 90
0.9%
11 2
 
< 0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
30 17
0.2%
28 1
 
< 0.1%
27 5
 
0.1%
25 13
0.1%
23 1
 
< 0.1%
22 3
 
< 0.1%
21 1
 
< 0.1%
20 16
0.2%
18 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING  SKEWED 

Distinct2489
Distinct (%)62.4%
Missing6012
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean192.79516
Minimum0
Maximum99174
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-30T01:58:35.316326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q130.8
median62.815
Q3122.3775
95-th percentile446
Maximum99174
Range99174
Interquartile range (IQR)91.5775

Descriptive statistics

Standard deviation2053.9556
Coefficient of variation (CV)10.653564
Kurtosis1836.2427
Mean192.79516
Median Absolute Deviation (MAD)36.85
Skewness41.410021
Sum768867.09
Variance4218733.5
MonotonicityNot monotonic
2024-04-30T01:58:35.425917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 60
 
0.6%
30.0 39
 
0.4%
50.0 32
 
0.3%
0.0 31
 
0.3%
3.3 28
 
0.3%
20.0 24
 
0.2%
66.0 24
 
0.2%
10.0 24
 
0.2%
26.4 21
 
0.2%
25.0 21
 
0.2%
Other values (2479) 3684
36.8%
(Missing) 6012
60.1%
ValueCountFrequency (%)
0.0 31
0.3%
1.0 2
 
< 0.1%
1.3 6
 
0.1%
1.65 1
 
< 0.1%
1.7 1
 
< 0.1%
2.0 3
 
< 0.1%
2.5 2
 
< 0.1%
2.52 1
 
< 0.1%
3.0 7
 
0.1%
3.21 1
 
< 0.1%
ValueCountFrequency (%)
99174.0 1
< 0.1%
76612.0 1
< 0.1%
18568.68 1
< 0.1%
17551.0 1
< 0.1%
11207.0 1
< 0.1%
6979.56 1
< 0.1%
6309.22 1
< 0.1%
4183.38 1
< 0.1%
4010.0 1
< 0.1%
3972.62 1
< 0.1%

Interactions

2024-04-30T01:58:26.571882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:24.565945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.044159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.504538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.097733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.653147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:24.703335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.125711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.604918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.184255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.759937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:24.777727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.225623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.688877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.279413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.862197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:24.862177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.305841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.942413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.376579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.953681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:24.961470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:25.398255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.024543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:58:26.481035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T01:58:35.504471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.0000.0001.0000.261NaNNaN
업종명0.0001.0000.9970.2450.2060.6260.598
업태명0.0000.9971.0000.3300.1510.6420.638
지도점검일자1.0000.2450.3301.0000.4650.3800.077
위반일자0.2610.2060.1510.4651.0000.1950.000
처분기간NaN0.6260.6420.3800.1951.0000.073
영업장면적(㎡)NaN0.5980.6380.0770.0000.0731.000
2024-04-30T01:58:35.612084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9660.874-0.076-0.0480.000
지도점검일자0.9661.0000.903-0.112-0.0630.091
위반일자0.8740.9031.000-0.112-0.0200.067
처분기간-0.076-0.112-0.1121.0000.0550.232
영업장면적(㎡)-0.048-0.063-0.0200.0551.0000.347
업종명0.0000.0910.0670.2320.3471.000

Missing values

2024-04-30T01:58:27.069364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T01:58:27.251835image/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.
2024-04-30T01:58:27.429745image/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

처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
66432023081720210120343일반음식점일식미화동서울특별시 강동구 천호대로 1089, 지1층 비114호 (천호동, 강동역 신동아 파밀리에)서울특별시 강동구 천호동 447번지 17호 강동역 신동아 파밀리에20230703처분확정과태료부과법 제101조제4항1호202212312022. 위생교육 미이수과태료부과<NA><NA>
160452022010520150066196휴게음식점커피숍리치망고서울특별시 서대문구 신촌로 83, 지하1층 (창천동, 현대백화점신촌점)서울특별시 서대문구 창천동 30번지 33호20210829처분확정영업소폐쇄(직권말소)법 제101조제4항1호202104012020년도 식품위생교육 미수료(1차)영업소폐쇄(직권말소)<NA><NA>
161122022010320040098574휴게음식점일반조리판매레드모노(red mono)서울특별시 서초구 신반포로 176, (반포동,신세계백화점 지하1층 행사매장내)서울특별시 서초구 반포동 19번지 3호 신세계백화점 지하1층 행사매장내20210802처분확정과태료부과법 제101조제4항1호202012312020년도 위생교육 미필과태료부과<NA>4.95
134382023013019880098541일반음식점한식자연사랑 생태찌개서울특별시 서초구 강남대로43길 16, (서초동)서울특별시 서초구 서초동 1357번지 73호20230109처분확정영업정지법 제71조, 법 제72조 및 법 제75조20230109이물혼입(1차위반) - 2023. 1. 9. 밑반찬(가자미무침)에 3cm 크기 철수세미 조각 혼입영업정지273.2
72752023072020030121254일반음식점한식명륜진사갈비 강동역점서울특별시 강동구 성안로 115, (성내동)서울특별시 강동구 성내동 383번지 18호20230720처분확정과태료부과법 제101조제4항1호202301012022년 위생교육 미수료과태료부과<NA>92.4
7022024022619990095117일반음식점한식공단식당서울특별시 관악구 시흥대로 578, (신림동,지하2층)서울특별시 관악구 신림동 1643번지 0호 지하2층20240214처분확정과태료부과법 제101조제2항제10호 및 영 제67조20240214조리장 후드 위생불량과태료부과<NA>65.44
82232023071120150069322일반음식점한식자성당서울특별시 마포구 잔다리로7안길 3, (서교동, 1층일부)서울특별시 마포구 서교동 378번지 1호 1층일부(102호)20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA>18.0
1043520230519서초구-563위생관리용역업위생관리용역업케이텍맨파워서울특별시 서초구 남부순환로 2465, 4층 (서초동)서울특별시 서초구 서초동 1425번지 11호 4층20230101처분확정공중위생관리법위반과태료 부과 60만원법 제22조제2항제6호202301012022년도 공중위생교육 미수료공중위생관리법위반과태료 부과 60만원<NA>310.66
152572022012620200056505일반음식점기타푸드모바일서울특별시 도봉구 덕릉로63길 47, 2층 (창동)서울특별시 도봉구 창동 607번지 1호20210803처분확정과징금부과법 제71조 및 법 제75조20210803유통기한이 경과된 제품?식품 또는 그 원재료를 조리?판매의 목적으로 보관함과징금부과<NA><NA>
260362020121619970050111일반음식점한식꺽정이네장작구이서울특별시 성북구 돌곶이로27길 79, (장위동)서울특별시 성북구 장위동 66번지 309호20200423처분확정영업신고사항 직권말소법 제37조 7항20151231사업자등록 폐업 2015-12-31영업신고사항 직권말소<NA><NA>
처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
168712021122420170114205일반음식점외국음식전문점(인도,태국등)포짜오서울특별시 송파구 오금로46길 8, 1층 (가락동)서울특별시 송파구 가락동 174번지 29호20211129처분확정과태료부과 10만원법 제101조제4항1호202111292020년 식품위생교육 미이수과태료부과 10만원<NA><NA>
289202020101420140050163건강기능식품일반판매업전자상거래(통신판매업)미나유통서울특별시 성북구 성북로4길 52, 204동 908호 (돈암동, 한진아파트)서울특별시 성북구 돈암동 609번지 1호 204 한진아파트-90820200903처분확정영업정지법 제14조부터 제16조까지20200903건강기능식품 박스에 표기된 유통기한 등을 스티커에 기재 후 재부착하여 판매함영업정지5<NA>
162072021123120190066645즉석판매제조가공업즉석판매제조가공업금양식방서울특별시 서대문구 홍제천로 156-8, 1층, 지층 (연희동)서울특별시 서대문구 연희동 717번지 31호20211119처분확정시정명령, 해당제품폐기 및 영업정지법 제14조 및 제17조20211119식품의 유형 미표시시정명령, 해당제품폐기 및 영업정지782.24
296932020091420150042798식품제조가공업기타 식품제조가공업건강플러스서울특별시 동대문구 약령서길 115-16, (제기동, 1층,2층일부)서울특별시 동대문구 제기동 892번지 127호20200812처분확정품목제조정지 1개월(2020.9.21~2020.10.20) * 과채가공품 전 품목법 제71조, 법 제75조 및 법 제76조20200812오일만주스분말(식품유형 : 과채가공품) 제품 자가품질검사 전 항목 미실시품목제조정지 1개월(2020.9.21~2020.10.20) * 과채가공품 전 품목<NA>85.55
81882023071120070070034일반음식점한식홍스쭈꾸미홍대본점서울특별시 마포구 어울마당로 146, (서교동, 1층)서울특별시 마포구 서교동 331번지 21호20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA><NA>
91252023062719930029776일반음식점한식태림식당<NA>서울특별시 중구 순화동 1번지 56호20230331처분확정영업신고사항 직권말소법 제37조 7항19941214사업자등록 말소 후 식품접객업 폐업신고를 하지 아니함영업신고사항 직권말소<NA>67.29
41572023112120210095212즉석판매제조가공업즉석판매제조가공업이순금반찬서울특별시 관악구 청룡2길 33, 1층 (봉천동)서울특별시 관악구 봉천동 921번지 15호20231013처분확정과태료부과제67조20231013조리장 후드 위생불량과태료부과<NA><NA>
1157020230331122종합미용업일반미용업멋(챠밍)미용실서울특별시 서초구 반포대로7길 31, (서초동)서울특별시 서초구 서초동 1476번지 11호20230314처분확정직권말소법 제3조3항20230314관할 세무서 사업자등록 말소되었으나 공중위생영업 폐업신고 하지 않음.직권말소<NA>17.15
136622022102920220094626일반음식점경양식로드락후라이드 마곡본점서울특별시 강서구 마곡중앙6로 66, 퀸즈파크텐 1층 107호 (마곡동)서울특별시 강서구 마곡동 797번지 7호 퀸즈파크텐-10720221013처분확정시정명령법 제71조, 법 제74조, 법 제75조 및 법 제76조20221011영업장 외 영업 - 2022.10.11. 위생관리과 적발시정명령<NA><NA>
304022020081820170091523휴게음식점커피숍더카페중앙대점서울특별시 동작구 흑석로 91, 1층 (흑석동)서울특별시 동작구 흑석동 190번지 51호20200706처분확정과태료부과(20만원)법 제101조제2항제1호201912312019년 식품접객업 영업자 위생교육 미이수과태료부과(20만원)<NA>10.24

Duplicate rows

Most frequently occurring

처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
432021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정영업정지법 제71조, 법 제75조 및 법 제76조20210329즉석섭취식품 자가품질검사 전항목 미실시(제품명 모닝샐러드 등 15개 품목)영업정지5<NA>5
442021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정품목제조정지법 제71조, 법 제75조 및 법 제76조20210329즉석섭취식품 자가품질검사 전항목 미실시(제품명 모닝샐러드 등 15개 품목)품목제조정지25<NA>4
132020101220120099269일반음식점분식우리집 김밥서울특별시 서초구 서초대로78길 56, 1층 111호 (서초동)서울특별시 서초구 서초동 1330번지 11호 1층-11120200827처분확정과태료250,000원(2020.10.08.까지 자진납부 시 200,000원)부과법 제101조제2항 제1호20200827사.법 제40조제1항(법 제88조에서 준용하는 경우를 포함한다)을 위반한 경우 2)건강진단을 받지 않은 종업원(미필자 : 허순금-1차)과태료250,000원(2020.10.08.까지 자진납부 시 200,000원)부과<NA>34.23
232020110620110086462일반음식점한식스시웨이서울특별시 영등포구 당산로54길 50, (당산동6가,지상1층)서울특별시 영등포구 당산동6가 1번지 지상1층20200101처분확정과태료20만원 부과법 제101조제2항제1호202001012019년 기존영업자 위생교육 미이수과태료20만원 부과<NA><NA>3
422021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정영업정지법 제71조 및 법 제75조20210329원료수불부 미작성영업정지5<NA>3
512021060820180069220일반음식점일식홍대수카츠서울특별시 마포구 양화로6길 73, 1층 103호 (서교동)서울특별시 마포구 서교동 400번지 13호20210415처분확정시정명령법 제71조, 법 제74조 및 법 제75조20210415영업장 외 영업시정명령<NA><NA>3
532021062320040069009일반음식점호프/통닭땡초우동 in 포차 홍대점서울특별시 마포구 어울마당로 151, (동교동,1층)서울특별시 마포구 동교동 170번지 17호 1층20210511처분확정시정명령법 제71조, 법 제74조 및 법 제75조20210511영업장 외 영업시정명령<NA><NA>3
552021063020070029922일반음식점통닭(치킨)엠케이(M.K)치킨호프서울특별시 중구 퇴계로87길 13, (황학동,(지상1층))서울특별시 중구 황학동 697번지 (지상1층)20210615처분확정시정명령법 제71조, 법 제74조,법 제75조 및 법 제76조20210615영업장외 영업행위시정명령<NA><NA>3
572021070520170025515일반음식점한식익선동 고기집서울특별시 종로구 수표로28길 47, 1층 (익선동)서울특별시 종로구 익선동 160번지 2호 1층20210521처분확정영업정지 7일법 제71조, 법 제74조 및 법 제75조20210521영업장외 영업(2차)영업정지 7일752.893
622021073020160050375일반음식점기타스카이서울특별시 성북구 돌곶이로 155, (장위동)서울특별시 성북구 장위동 75번지 329호20210617처분확정시정명령법 제101조제2항 제1호20210617영업주 건강진단 미실시시정명령<NA><NA>3