Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells15396
Missing cells (%)9.1%
Duplicate rows368
Duplicate rows (%)3.7%
Total size in memory1.4 MiB
Average record size in memory150.0 B

Variable types

Categorical3
Numeric5
Text9

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡)
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-11380/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 368 (3.7%) 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 (57.2%)Imbalance
소재지도로명 has 616 (6.2%) missing valuesMissing
처분기간 has 8877 (88.8%) missing valuesMissing
영업장면적(㎡) has 5702 (57.0%) missing valuesMissing
지도점검일자 is highly skewed (γ1 = -87.21376353)Skewed

Reproduction

Analysis started2024-05-11 06:59:07.918550
Analysis finished2024-05-11 06:59:17.859376
Duration9.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3130000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 10000
100.0%

Length

2024-05-11T15:59:18.265926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:18.447965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2377
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20138952
Minimum20020104
Maximum20500504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:59:18.671124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020104
5-th percentile20040428
Q120101028
median20141117
Q320180823
95-th percentile20230711
Maximum20500504
Range480400
Interquartile range (IQR)79795.5

Descriptive statistics

Standard deviation55975.958
Coefficient of variation (CV)0.0027794872
Kurtosis-0.55028761
Mean20138952
Median Absolute Deviation (MAD)39895
Skewness-0.28320445
Sum2.0138952 × 1011
Variance3.1333079 × 109
MonotonicityNot monotonic
2024-05-11T15:59:18.917618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230711 603
 
6.0%
20201215 253
 
2.5%
20230303 92
 
0.9%
20160822 85
 
0.9%
20191202 85
 
0.9%
20171229 78
 
0.8%
20130605 74
 
0.7%
20191203 67
 
0.7%
20181228 66
 
0.7%
20140526 65
 
0.7%
Other values (2367) 8532
85.3%
ValueCountFrequency (%)
20020104 2
< 0.1%
20020108 1
 
< 0.1%
20020114 1
 
< 0.1%
20020123 1
 
< 0.1%
20020128 1
 
< 0.1%
20020204 2
< 0.1%
20020206 2
< 0.1%
20020218 4
< 0.1%
20020225 2
< 0.1%
20020306 4
< 0.1%
ValueCountFrequency (%)
20500504 1
 
< 0.1%
20240419 2
 
< 0.1%
20240329 1
 
< 0.1%
20240312 1
 
< 0.1%
20240229 6
0.1%
20240214 8
0.1%
20240131 3
 
< 0.1%
20240123 8
0.1%
20240104 1
 
< 0.1%
20231212 1
 
< 0.1%

교부번호
Text

Distinct5839
Distinct (%)58.6%
Missing34
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T15:59:19.324511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.702488
Min length1

Characters and Unicode

Total characters106661
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4030 ?
Unique (%)40.4%

Sample

1st row20070069769
2nd row20120070236
3rd row20020069278
4th row20110069376
5th row20100070200
ValueCountFrequency (%)
20140099188 70
 
0.7%
19880069075 36
 
0.4%
20010070172 31
 
0.3%
20100099174 30
 
0.3%
20090069546 26
 
0.3%
20000069169 24
 
0.2%
19850069099 22
 
0.2%
20020069756 20
 
0.2%
20140069552 20
 
0.2%
20160069761 18
 
0.2%
Other values (5829) 9669
97.0%
2024-05-11T15:59:19.987871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37742
35.4%
9 14143
 
13.3%
2 11989
 
11.2%
6 10303
 
9.7%
1 10206
 
9.6%
7 6563
 
6.2%
4 4086
 
3.8%
3 3921
 
3.7%
8 3870
 
3.6%
5 3719
 
3.5%
Other values (3) 119
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106542
99.9%
Dash Punctuation 117
 
0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37742
35.4%
9 14143
 
13.3%
2 11989
 
11.3%
6 10303
 
9.7%
1 10206
 
9.6%
7 6563
 
6.2%
4 4086
 
3.8%
3 3921
 
3.7%
8 3870
 
3.6%
5 3719
 
3.5%
Other Letter
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106659
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37742
35.4%
9 14143
 
13.3%
2 11989
 
11.2%
6 10303
 
9.7%
1 10206
 
9.6%
7 6563
 
6.2%
4 4086
 
3.8%
3 3921
 
3.7%
8 3870
 
3.6%
5 3719
 
3.5%
Hangul
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106659
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37742
35.4%
9 14143
 
13.3%
2 11989
 
11.2%
6 10303
 
9.7%
1 10206
 
9.6%
7 6563
 
6.2%
4 4086
 
3.8%
3 3921
 
3.7%
8 3870
 
3.6%
5 3719
 
3.5%
Hangul
ValueCountFrequency (%)
제 1
50.0%
호 1
50.0%

업종명
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
6816 
휴게음식점
 
398
식품제조가공업
 
359
단란주점
 
340
건강기능식품일반판매업
 
297
Other values (30)
1790 

Length

Max length23
Median length5
Mean length5.5533
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row유흥주점영업
2nd row일반음식점
3rd row식품제조가공업
4th row일반음식점
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 6816
68.2%
휴게음식점 398
 
4.0%
식품제조가공업 359
 
3.6%
단란주점 340
 
3.4%
건강기능식품일반판매업 297
 
3.0%
식품등 수입판매업 289
 
2.9%
유흥주점영업 286
 
2.9%
즉석판매제조가공업 205
 
2.1%
유통전문판매업 160
 
1.6%
제과점영업 125
 
1.2%
Other values (25) 725
 
7.2%

Length

2024-05-11T15:59:20.263433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 6816
66.1%
휴게음식점 398
 
3.9%
식품제조가공업 359
 
3.5%
단란주점 340
 
3.3%
건강기능식품일반판매업 297
 
2.9%
식품등 289
 
2.8%
수입판매업 289
 
2.8%
유흥주점영업 286
 
2.8%
즉석판매제조가공업 205
 
2.0%
유통전문판매업 160
 
1.6%
Other values (22) 877
 
8.5%

업태명
Text

Distinct80
Distinct (%)0.8%
Missing93
Missing (%)0.9%
Memory size156.2 KiB
2024-05-11T15:59:20.534058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.8943171
Min length2

Characters and Unicode

Total characters38581
Distinct characters159
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row룸살롱
2nd row일식
3rd row식품제조가공업
4th row한식
5th row까페
ValueCountFrequency (%)
한식 2361
22.9%
호프/통닭 1276
12.4%
기타 721
 
7.0%
까페 704
 
6.8%
경양식 490
 
4.8%
분식 437
 
4.2%
식품제조가공업 359
 
3.5%
일식 357
 
3.5%
단란주점 340
 
3.3%
식품등 289
 
2.8%
Other values (69) 2957
28.7%
2024-05-11T15:59:21.020882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4875
 
12.6%
한 2361
 
6.1%
업 1974
 
5.1%
통 1688
 
4.4%
닭 1447
 
3.8%
/ 1400
 
3.6%
호 1295
 
3.4%
프 1276
 
3.3%
매 1007
 
2.6%
판 1007
 
2.6%
Other values (149) 20251
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36163
93.7%
Other Punctuation 1435
 
3.7%
Space Separator 384
 
1.0%
Open Punctuation 286
 
0.7%
Close Punctuation 286
 
0.7%
Math Symbol 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4875
 
13.5%
한 2361
 
6.5%
업 1974
 
5.5%
통 1688
 
4.7%
닭 1447
 
4.0%
호 1295
 
3.6%
프 1276
 
3.5%
매 1007
 
2.8%
판 1007
 
2.8%
품 834
 
2.3%
Other values (143) 18399
50.9%
Other Punctuation
ValueCountFrequency (%)
/ 1400
97.6%
, 35
 
2.4%
Space Separator
ValueCountFrequency (%)
384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Math Symbol
ValueCountFrequency (%)
+ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36163
93.7%
Common 2418
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4875
 
13.5%
한 2361
 
6.5%
업 1974
 
5.5%
통 1688
 
4.7%
닭 1447
 
4.0%
호 1295
 
3.6%
프 1276
 
3.5%
매 1007
 
2.8%
판 1007
 
2.8%
품 834
 
2.3%
Other values (143) 18399
50.9%
Common
ValueCountFrequency (%)
/ 1400
57.9%
384
 
15.9%
( 286
 
11.8%
) 286
 
11.8%
, 35
 
1.4%
+ 27
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36163
93.7%
ASCII 2418
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4875
 
13.5%
한 2361
 
6.5%
업 1974
 
5.5%
통 1688
 
4.7%
닭 1447
 
4.0%
호 1295
 
3.6%
프 1276
 
3.5%
매 1007
 
2.8%
판 1007
 
2.8%
품 834
 
2.3%
Other values (143) 18399
50.9%
ASCII
ValueCountFrequency (%)
/ 1400
57.9%
384
 
15.9%
( 286
 
11.8%
) 286
 
11.8%
, 35
 
1.4%
+ 27
 
1.1%

업소명
Text

Distinct5876
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:59:21.504502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length5.7855
Min length1

Characters and Unicode

Total characters57855
Distinct characters1055
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4030 ?
Unique (%)40.3%

Sample

1st row윈저클럽
2nd row스시 준
3rd row풍년상회
4th row팔자막창
5th row옐로우펍
ValueCountFrequency (%)
젠틀레이디컵케이크 70
 
0.6%
주식회사 65
 
0.6%
홍대점 53
 
0.5%
하이덴치킨 36
 
0.3%
에스앤에스티(sns 30
 
0.3%
tea 30
 
0.3%
더 27
 
0.2%
카페 25
 
0.2%
김밥천국 25
 
0.2%
봉주르하와이 24
 
0.2%
Other values (6345) 10810
96.6%
2024-05-11T15:59:22.332948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1746
 
3.0%
) 1335
 
2.3%
( 1329
 
2.3%
스 1228
 
2.1%
1197
 
2.1%
주 953
 
1.6%
리 915
 
1.6%
점 842
 
1.5%
대 708
 
1.2%
마 681
 
1.2%
Other values (1045) 46921
81.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48953
84.6%
Lowercase Letter 2213
 
3.8%
Uppercase Letter 1969
 
3.4%
Close Punctuation 1337
 
2.3%
Open Punctuation 1331
 
2.3%
Space Separator 1197
 
2.1%
Decimal Number 635
 
1.1%
Other Punctuation 192
 
0.3%
Dash Punctuation 20
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1746
 
3.6%
스 1228
 
2.5%
주 953
 
1.9%
리 915
 
1.9%
점 842
 
1.7%
대 708
 
1.4%
마 681
 
1.4%
식 541
 
1.1%
포 508
 
1.0%
홍 500
 
1.0%
Other values (961) 40331
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 346
15.6%
a 283
12.8%
o 173
 
7.8%
r 151
 
6.8%
n 144
 
6.5%
i 144
 
6.5%
t 107
 
4.8%
l 98
 
4.4%
h 88
 
4.0%
s 88
 
4.0%
Other values (16) 591
26.7%
Uppercase Letter
ValueCountFrequency (%)
A 156
 
7.9%
S 154
 
7.8%
N 144
 
7.3%
T 132
 
6.7%
O 130
 
6.6%
C 130
 
6.6%
E 129
 
6.6%
B 117
 
5.9%
L 91
 
4.6%
R 89
 
4.5%
Other values (16) 697
35.4%
Other Punctuation
ValueCountFrequency (%)
. 53
27.6%
& 52
27.1%
, 29
15.1%
＆ 25
13.0%
' 9
 
4.7%
？ 8
 
4.2%
! 7
 
3.6%
: 3
 
1.6%
# 2
 
1.0%
/ 2
 
1.0%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 157
24.7%
1 117
18.4%
9 71
11.2%
0 71
11.2%
4 49
 
7.7%
8 47
 
7.4%
3 35
 
5.5%
7 31
 
4.9%
6 30
 
4.7%
5 27
 
4.3%
Math Symbol
ValueCountFrequency (%)
+ 2
25.0%
> 2
25.0%
< 2
25.0%
× 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1335
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1329
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48933
84.6%
Common 4720
 
8.2%
Latin 4182
 
7.2%
Han 15
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1746
 
3.6%
스 1228
 
2.5%
주 953
 
1.9%
리 915
 
1.9%
점 842
 
1.7%
대 708
 
1.4%
마 681
 
1.4%
식 541
 
1.1%
포 508
 
1.0%
홍 500
 
1.0%
Other values (947) 40311
82.4%
Latin
ValueCountFrequency (%)
e 346
 
8.3%
a 283
 
6.8%
o 173
 
4.1%
A 156
 
3.7%
S 154
 
3.7%
r 151
 
3.6%
n 144
 
3.4%
i 144
 
3.4%
N 144
 
3.4%
T 132
 
3.2%
Other values (42) 2355
56.3%
Common
ValueCountFrequency (%)
) 1335
28.3%
( 1329
28.2%
1197
25.4%
2 157
 
3.3%
1 117
 
2.5%
9 71
 
1.5%
0 71
 
1.5%
. 53
 
1.1%
& 52
 
1.1%
4 49
 
1.0%
Other values (22) 289
 
6.1%
Han
ValueCountFrequency (%)
愛 7
46.7%
夜 1
 
6.7%
肉 1
 
6.7%
地 1
 
6.7%
三 1
 
6.7%
代 1
 
6.7%
火 1
 
6.7%
昭 1
 
6.7%
福 1
 
6.7%
Hiragana
ValueCountFrequency (%)
き 1
20.0%
る 1
20.0%
ゆ 1
20.0%
の 1
20.0%
は 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48932
84.6%
ASCII 8867
 
15.3%
None 35
 
0.1%
CJK 15
 
< 0.1%
Hiragana 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1746
 
3.6%
스 1228
 
2.5%
주 953
 
1.9%
리 915
 
1.9%
점 842
 
1.7%
대 708
 
1.4%
마 681
 
1.4%
식 541
 
1.1%
포 508
 
1.0%
홍 500
 
1.0%
Other values (946) 40310
82.4%
ASCII
ValueCountFrequency (%)
) 1335
 
15.1%
( 1329
 
15.0%
1197
 
13.5%
e 346
 
3.9%
a 283
 
3.2%
o 173
 
2.0%
2 157
 
1.8%
A 156
 
1.8%
S 154
 
1.7%
r 151
 
1.7%
Other values (71) 3586
40.4%
None
ValueCountFrequency (%)
＆ 25
71.4%
？ 8
 
22.9%
× 2
 
5.7%
CJK
ValueCountFrequency (%)
愛 7
46.7%
夜 1
 
6.7%
肉 1
 
6.7%
地 1
 
6.7%
三 1
 
6.7%
代 1
 
6.7%
火 1
 
6.7%
昭 1
 
6.7%
福 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%
Hiragana
ValueCountFrequency (%)
き 1
20.0%
る 1
20.0%
ゆ 1
20.0%
の 1
20.0%
は 1
20.0%

소재지도로명
Text

MISSING 

Distinct5434
Distinct (%)57.9%
Missing616
Missing (%)6.2%
Memory size156.2 KiB
2024-05-11T15:59:22.911853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length64
Mean length31.182438
Min length22

Characters and Unicode

Total characters292616
Distinct characters428
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

Unique3631 ?
Unique (%)38.7%

Sample

1st row서울특별시 마포구 서강로 131, (노고산동,외 2필지 지하1층)
2nd row서울특별시 마포구 마포대로12길 57, 1층 (공덕동)
3rd row서울특별시 마포구 백범로16길 26, (대흥동,1층)
4th row서울특별시 마포구 잔다리로 23, (서교동,예랑빌딩 1층)
5th row서울특별시 마포구 독막로9길 41, (서교동, 1~2층)
ValueCountFrequency (%)
서울특별시 9384
 
16.9%
마포구 9384
 
16.9%
1층 1871
 
3.4%
서교동 1828
 
3.3%
동교동 604
 
1.1%
망원동 542
 
1.0%
2층 537
 
1.0%
지하1층 461
 
0.8%
합정동 453
 
0.8%
동교로 400
 
0.7%
Other values (3226) 29907
54.0%
2024-05-11T15:59:23.706755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46007
 
15.7%
, 16167
 
5.5%
1 13850
 
4.7%
서 12301
 
4.2%
동 11341
 
3.9%
마 10584
 
3.6%
포 10326
 
3.5%
울 9871
 
3.4%
( 9658
 
3.3%
) 9654
 
3.3%
Other values (418) 142857
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166314
56.8%
Space Separator 46007
 
15.7%
Decimal Number 42051
 
14.4%
Other Punctuation 16275
 
5.6%
Open Punctuation 9658
 
3.3%
Close Punctuation 9654
 
3.3%
Dash Punctuation 1493
 
0.5%
Uppercase Letter 991
 
0.3%
Math Symbol 114
 
< 0.1%
Lowercase Letter 54
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12301
 
7.4%
동 11341
 
6.8%
마 10584
 
6.4%
포 10326
 
6.2%
울 9871
 
5.9%
시 9481
 
5.7%
구 9447
 
5.7%
별 9394
 
5.6%
특 9389
 
5.6%
로 9012
 
5.4%
Other values (355) 65168
39.2%
Uppercase Letter
ValueCountFrequency (%)
B 377
38.0%
C 72
 
7.3%
K 60
 
6.1%
I 58
 
5.9%
A 56
 
5.7%
D 55
 
5.5%
F 55
 
5.5%
T 49
 
4.9%
G 43
 
4.3%
M 43
 
4.3%
Other values (13) 123
 
12.4%
Lowercase Letter
ValueCountFrequency (%)
i 7
13.0%
e 6
11.1%
t 6
11.1%
y 6
11.1%
s 5
9.3%
p 5
9.3%
k 3
 
5.6%
r 2
 
3.7%
n 2
 
3.7%
w 2
 
3.7%
Other values (6) 10
18.5%
Decimal Number
ValueCountFrequency (%)
1 13850
32.9%
2 6690
15.9%
3 4291
 
10.2%
4 2992
 
7.1%
0 2925
 
7.0%
5 2782
 
6.6%
6 2669
 
6.3%
7 2073
 
4.9%
9 1899
 
4.5%
8 1880
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 16167
99.3%
. 91
 
0.6%
/ 7
 
< 0.1%
@ 3
 
< 0.1%
？ 2
 
< 0.1%
; 2
 
< 0.1%
& 2
 
< 0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
46007
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9658
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1493
100.0%
Math Symbol
ValueCountFrequency (%)
~ 114
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166311
56.8%
Common 125252
42.8%
Latin 1050
 
0.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12301
 
7.4%
동 11341
 
6.8%
마 10584
 
6.4%
포 10326
 
6.2%
울 9871
 
5.9%
시 9481
 
5.7%
구 9447
 
5.7%
별 9394
 
5.6%
특 9389
 
5.6%
로 9012
 
5.4%
Other values (354) 65165
39.2%
Latin
ValueCountFrequency (%)
B 377
35.9%
C 72
 
6.9%
K 60
 
5.7%
I 58
 
5.5%
A 56
 
5.3%
D 55
 
5.2%
F 55
 
5.2%
T 49
 
4.7%
G 43
 
4.1%
M 43
 
4.1%
Other values (30) 182
17.3%
Common
ValueCountFrequency (%)
46007
36.7%
, 16167
 
12.9%
1 13850
 
11.1%
( 9658
 
7.7%
) 9654
 
7.7%
2 6690
 
5.3%
3 4291
 
3.4%
4 2992
 
2.4%
0 2925
 
2.3%
5 2782
 
2.2%
Other values (13) 10236
 
8.2%
Han
ValueCountFrequency (%)
內 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166311
56.8%
ASCII 126295
43.2%
Number Forms 5
 
< 0.1%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46007
36.4%
, 16167
 
12.8%
1 13850
 
11.0%
( 9658
 
7.6%
) 9654
 
7.6%
2 6690
 
5.3%
3 4291
 
3.4%
4 2992
 
2.4%
0 2925
 
2.3%
5 2782
 
2.2%
Other values (51) 11279
 
8.9%
Hangul
ValueCountFrequency (%)
서 12301
 
7.4%
동 11341
 
6.8%
마 10584
 
6.4%
포 10326
 
6.2%
울 9871
 
5.9%
시 9481
 
5.7%
구 9447
 
5.7%
별 9394
 
5.6%
특 9389
 
5.6%
로 9012
 
5.4%
Other values (354) 65165
39.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
CJK
ValueCountFrequency (%)
內 3
100.0%
None
ValueCountFrequency (%)
？ 2
100.0%

소재지지번
Text

Distinct5365
Distinct (%)53.8%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T15:59:24.199536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length79
Mean length28.375928
Min length21

Characters and Unicode

Total characters282908
Distinct characters415
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

Unique3427 ?
Unique (%)34.4%

Sample

1st row서울특별시 마포구 노고산동 57번지 46호 외 2필지 지하1층
2nd row서울특별시 마포구 공덕동 242번지 15호
3rd row서울특별시 마포구 대흥동 327번지 1호 1층
4th row서울특별시 마포구 서교동 395번지 17호 예랑빌딩 1층
5th row서울특별시 마포구 서교동 404번지 9호
ValueCountFrequency (%)
서울특별시 9970
 
17.7%
마포구 9970
 
17.7%
서교동 2622
 
4.7%
1층 1690
 
3.0%
1호 1044
 
1.9%
동교동 844
 
1.5%
망원동 722
 
1.3%
도화동 684
 
1.2%
합정동 648
 
1.2%
성산동 590
 
1.0%
Other values (2325) 27479
48.8%
2024-05-11T15:59:25.025601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70651
25.0%
서 12703
 
4.5%
1 12550
 
4.4%
지 11588
 
4.1%
동 10953
 
3.9%
마 10186
 
3.6%
포 10152
 
3.6%
시 10058
 
3.6%
구 10037
 
3.5%
울 9997
 
3.5%
Other values (405) 114033
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156787
55.4%
Space Separator 70651
25.0%
Decimal Number 52299
 
18.5%
Other Punctuation 956
 
0.3%
Uppercase Letter 881
 
0.3%
Dash Punctuation 554
 
0.2%
Open Punctuation 328
 
0.1%
Close Punctuation 324
 
0.1%
Lowercase Letter 62
 
< 0.1%
Math Symbol 61
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12703
 
8.1%
지 11588
 
7.4%
동 10953
 
7.0%
마 10186
 
6.5%
포 10152
 
6.5%
시 10058
 
6.4%
구 10037
 
6.4%
울 9997
 
6.4%
별 9975
 
6.4%
번 9975
 
6.4%
Other values (341) 51163
32.6%
Uppercase Letter
ValueCountFrequency (%)
B 309
35.1%
C 61
 
6.9%
F 59
 
6.7%
I 54
 
6.1%
A 50
 
5.7%
D 47
 
5.3%
K 45
 
5.1%
T 43
 
4.9%
G 42
 
4.8%
M 38
 
4.3%
Other values (14) 133
15.1%
Lowercase Letter
ValueCountFrequency (%)
t 9
14.5%
i 8
12.9%
e 7
11.3%
s 7
11.3%
p 7
11.3%
y 7
11.3%
o 2
 
3.2%
n 2
 
3.2%
u 2
 
3.2%
m 2
 
3.2%
Other values (6) 9
14.5%
Decimal Number
ValueCountFrequency (%)
1 12550
24.0%
3 7142
13.7%
2 6467
12.4%
4 5535
10.6%
5 4693
 
9.0%
6 3960
 
7.6%
0 3688
 
7.1%
7 3057
 
5.8%
8 2684
 
5.1%
9 2523
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 840
87.9%
. 98
 
10.3%
/ 6
 
0.6%
@ 6
 
0.6%
; 2
 
0.2%
& 2
 
0.2%
: 1
 
0.1%
？ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
70651
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Math Symbol
ValueCountFrequency (%)
~ 61
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156784
55.4%
Common 125173
44.2%
Latin 948
 
0.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12703
 
8.1%
지 11588
 
7.4%
동 10953
 
7.0%
마 10186
 
6.5%
포 10152
 
6.5%
시 10058
 
6.4%
구 10037
 
6.4%
울 9997
 
6.4%
별 9975
 
6.4%
번 9975
 
6.4%
Other values (340) 51160
32.6%
Latin
ValueCountFrequency (%)
B 309
32.6%
C 61
 
6.4%
F 59
 
6.2%
I 54
 
5.7%
A 50
 
5.3%
D 47
 
5.0%
K 45
 
4.7%
T 43
 
4.5%
G 42
 
4.4%
M 38
 
4.0%
Other values (31) 200
21.1%
Common
ValueCountFrequency (%)
70651
56.4%
1 12550
 
10.0%
3 7142
 
5.7%
2 6467
 
5.2%
4 5535
 
4.4%
5 4693
 
3.7%
6 3960
 
3.2%
0 3688
 
2.9%
7 3057
 
2.4%
8 2684
 
2.1%
Other values (13) 4746
 
3.8%
Han
ValueCountFrequency (%)
內 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156784
55.4%
ASCII 126115
44.6%
Number Forms 5
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70651
56.0%
1 12550
 
10.0%
3 7142
 
5.7%
2 6467
 
5.1%
4 5535
 
4.4%
5 4693
 
3.7%
6 3960
 
3.1%
0 3688
 
2.9%
7 3057
 
2.4%
8 2684
 
2.1%
Other values (52) 5688
 
4.5%
Hangul
ValueCountFrequency (%)
서 12703
 
8.1%
지 11588
 
7.4%
동 10953
 
7.0%
마 10186
 
6.5%
포 10152
 
6.5%
시 10058
 
6.4%
구 10037
 
6.4%
울 9997
 
6.4%
별 9975
 
6.4%
번 9975
 
6.4%
Other values (340) 51160
32.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
CJK
ValueCountFrequency (%)
內 3
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2800
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20135952
Minimum2001022
Maximum20500504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:59:25.286759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001022
5-th percentile20040328
Q120100817
median20140818
Q320180518
95-th percentile20230711
Maximum20500504
Range18499482
Interquartile range (IQR)79701.25

Descriptive statistics

Standard deviation189833.3
Coefficient of variation (CV)0.0094275801
Kurtosis8331.487
Mean20135952
Median Absolute Deviation (MAD)39796
Skewness-87.213764
Sum2.0135952 × 1011
Variance3.6036681 × 1010
MonotonicityNot monotonic
2024-05-11T15:59:25.531845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230711 603
 
6.0%
20200101 278
 
2.8%
20190101 192
 
1.9%
20180101 114
 
1.1%
20130912 103
 
1.0%
20220301 90
 
0.9%
20150101 88
 
0.9%
20171001 87
 
0.9%
20130906 84
 
0.8%
20160725 77
 
0.8%
Other values (2790) 8284
82.8%
ValueCountFrequency (%)
2001022 1
 
< 0.1%
20010303 3
< 0.1%
20010321 1
 
< 0.1%
20011025 2
< 0.1%
20020103 2
< 0.1%
20020107 1
 
< 0.1%
20020113 1
 
< 0.1%
20020117 1
 
< 0.1%
20020122 1
 
< 0.1%
20020127 1
 
< 0.1%
ValueCountFrequency (%)
20500504 1
 
< 0.1%
20240307 1
 
< 0.1%
20240214 2
 
< 0.1%
20240213 12
0.1%
20240131 2
 
< 0.1%
20240118 1
 
< 0.1%
20231221 1
 
< 0.1%
20231121 2
 
< 0.1%
20231013 1
 
< 0.1%
20231011 1
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처분확정 10000
100.0%

Length

2024-05-11T15:59:25.763507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:59:25.902521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1633
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:59:26.230071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length9.2884
Min length2

Characters and Unicode

Total characters92884
Distinct characters269
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1119 ?
Unique (%)11.2%

Sample

1st row시설개수명령
2nd row과태료부과
3rd row품목제조정지(2011.12.15~2012.01.14)
4th row시정명령
5th row시정명령
ValueCountFrequency (%)
과태료부과 2385
17.5%
시정명령 1880
 
13.8%
영업소폐쇄 1523
 
11.2%
영업정지 787
 
5.8%
시설개수명령 338
 
2.5%
부과 272
 
2.0%
갈음 250
 
1.8%
과징금 233
 
1.7%
20만원 181
 
1.3%
과태료 171
 
1.3%
Other values (1865) 5586
41.1%
2024-05-11T15:59:26.893609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8555
 
9.2%
0 4806
 
5.2%
부 4428
 
4.8%
정 4147
 
4.5%
3615
 
3.9%
료 3545
 
3.8%
태 3517
 
3.8%
업 3473
 
3.7%
. 3450
 
3.7%
영 3444
 
3.7%
Other values (259) 49904
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62911
67.7%
Decimal Number 17476
 
18.8%
Other Punctuation 3988
 
4.3%
Space Separator 3615
 
3.9%
Open Punctuation 2106
 
2.3%
Close Punctuation 2100
 
2.3%
Math Symbol 452
 
0.5%
Dash Punctuation 233
 
0.3%
Connector Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (225) 22825
36.3%
Other Punctuation
ValueCountFrequency (%)
. 3450
86.5%
, 348
 
8.7%
% 51
 
1.3%
/ 42
 
1.1%
: 41
 
1.0%
# 24
 
0.6%
' 14
 
0.4%
* 11
 
0.3%
※ 4
 
0.1%
? 1
 
< 0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 4806
27.5%
2 3413
19.5%
1 3211
18.4%
5 1115
 
6.4%
3 1089
 
6.2%
4 962
 
5.5%
6 918
 
5.3%
7 755
 
4.3%
8 646
 
3.7%
9 561
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 442
97.8%
= 8
 
1.8%
× 1
 
0.2%
+ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2104
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2099
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62911
67.7%
Common 29973
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (225) 22825
36.3%
Common
ValueCountFrequency (%)
0 4806
16.0%
3615
12.1%
. 3450
11.5%
2 3413
11.4%
1 3211
10.7%
( 2104
7.0%
) 2099
7.0%
5 1115
 
3.7%
3 1089
 
3.6%
4 962
 
3.2%
Other values (24) 4109
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62894
67.7%
ASCII 29967
32.3%
Compat Jamo 17
 
< 0.1%
Punctuation 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (224) 22808
36.3%
ASCII
ValueCountFrequency (%)
0 4806
16.0%
3615
12.1%
. 3450
11.5%
2 3413
11.4%
1 3211
10.7%
( 2104
7.0%
) 2099
7.0%
5 1115
 
3.7%
3 1089
 
3.6%
4 962
 
3.2%
Other values (21) 4103
13.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
100.0%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%
None
ValueCountFrequency (%)
× 1
50.0%
？ 1
50.0%

법적근거
Text

Distinct957
Distinct (%)9.6%
Missing36
Missing (%)0.4%
Memory size156.2 KiB
2024-05-11T15:59:27.206288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length58
Mean length14.514653
Min length2

Characters and Unicode

Total characters144624
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique513 ?
Unique (%)5.1%

Sample

1st row식품위생법 제36조
2nd row법 제101조제2항제1호
3rd row식품위생법 제76조
4th row식품위생법제36조
5th row법제36조 시설기준 위반
ValueCountFrequency (%)
법 8474
28.3%
및 2374
 
7.9%
제75조 2233
 
7.5%
제71조 1995
 
6.7%
식품위생법 1934
 
6.5%
제74조 1235
 
4.1%
제101조제2항제1호 1166
 
3.9%
제101조제4항1호 645
 
2.2%
위반 539
 
1.8%
식품위생법제36조 529
 
1.8%
Other values (767) 8769
29.3%
2024-05-11T15:59:27.820104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20124
13.9%
제 19028
13.2%
조 15585
 
10.8%
법 13824
 
9.6%
1 10785
 
7.5%
7 7514
 
5.2%
위 4999
 
3.5%
생 4255
 
2.9%
5 4197
 
2.9%
식 4188
 
2.9%
Other values (146) 40125
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82309
56.9%
Decimal Number 38469
26.6%
Space Separator 20124
 
13.9%
Other Punctuation 3168
 
2.2%
Close Punctuation 278
 
0.2%
Open Punctuation 273
 
0.2%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 19028
23.1%
조 15585
18.9%
법 13824
16.8%
위 4999
 
6.1%
생 4255
 
5.2%
식 4188
 
5.1%
품 4173
 
5.1%
항 3176
 
3.9%
및 2404
 
2.9%
호 2235
 
2.7%
Other values (126) 8442
10.3%
Decimal Number
ValueCountFrequency (%)
1 10785
28.0%
7 7514
19.5%
5 4197
 
10.9%
2 3642
 
9.5%
4 3334
 
8.7%
3 2690
 
7.0%
0 2477
 
6.4%
6 2097
 
5.5%
8 1527
 
4.0%
9 206
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 3125
98.6%
. 41
 
1.3%
？ 1
 
< 0.1%
/ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 254
91.4%
] 24
 
8.6%
Open Punctuation
ValueCountFrequency (%)
( 249
91.2%
[ 24
 
8.8%
Space Separator
ValueCountFrequency (%)
20124
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82309
56.9%
Common 62312
43.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 19028
23.1%
조 15585
18.9%
법 13824
16.8%
위 4999
 
6.1%
생 4255
 
5.2%
식 4188
 
5.1%
품 4173
 
5.1%
항 3176
 
3.9%
및 2404
 
2.9%
호 2235
 
2.7%
Other values (126) 8442
10.3%
Common
ValueCountFrequency (%)
20124
32.3%
1 10785
17.3%
7 7514
 
12.1%
5 4197
 
6.7%
2 3642
 
5.8%
4 3334
 
5.4%
, 3125
 
5.0%
3 2690
 
4.3%
0 2477
 
4.0%
6 2097
 
3.4%
Other values (9) 2327
 
3.7%
Latin
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82308
56.9%
ASCII 62311
43.1%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20124
32.3%
1 10785
17.3%
7 7514
 
12.1%
5 4197
 
6.7%
2 3642
 
5.8%
4 3334
 
5.4%
, 3125
 
5.0%
3 2690
 
4.3%
0 2477
 
4.0%
6 2097
 
3.4%
Other values (8) 2326
 
3.7%
Hangul
ValueCountFrequency (%)
제 19028
23.1%
조 15585
18.9%
법 13824
16.8%
위 4999
 
6.1%
생 4255
 
5.2%
식 4188
 
5.1%
품 4173
 
5.1%
항 3176
 
3.9%
및 2404
 
2.9%
호 2235
 
2.7%
Other values (125) 8441
10.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅓ 1
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2861
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137488
Minimum20010303
Maximum20240213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:59:28.092572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010303
5-th percentile20040320
Q120100807
median20140818
Q320180528
95-th percentile20230101
Maximum20240213
Range229910
Interquartile range (IQR)79720.75

Descriptive statistics

Standard deviation55830.851
Coefficient of variation (CV)0.0027724834
Kurtosis-0.71168459
Mean20137488
Median Absolute Deviation (MAD)39803
Skewness-0.3142949
Sum2.0137488 × 1011
Variance3.117084 × 109
MonotonicityNot monotonic
2024-05-11T15:59:28.377915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 640
 
6.4%
20200101 279
 
2.8%
20190101 203
 
2.0%
20130710 173
 
1.7%
20130103 117
 
1.2%
20150101 112
 
1.1%
20220301 91
 
0.9%
20180101 88
 
0.9%
20151231 82
 
0.8%
20130402 74
 
0.7%
Other values (2851) 8141
81.4%
ValueCountFrequency (%)
20010303 3
< 0.1%
20010321 1
 
< 0.1%
20011025 2
< 0.1%
20020103 1
 
< 0.1%
20020104 1
 
< 0.1%
20020105 1
 
< 0.1%
20020108 1
 
< 0.1%
20020114 1
 
< 0.1%
20020123 1
 
< 0.1%
20020128 1
 
< 0.1%
ValueCountFrequency (%)
20240213 12
0.1%
20240131 2
 
< 0.1%
20240118 1
 
< 0.1%
20231223 2
 
< 0.1%
20231221 1
 
< 0.1%
20231121 2
 
< 0.1%
20231013 1
 
< 0.1%
20231005 2
 
< 0.1%
20230918 1
 
< 0.1%
20230830 1
 
< 0.1%

위반내용
Text

Distinct2740
Distinct (%)27.4%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T15:59:28.757824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length354
Median length153
Mean length16.215773
Min length2

Characters and Unicode

Total characters162028
Distinct characters683
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1743 ?
Unique (%)17.4%

Sample

1st row객실잠금장치
2nd row건강진단 미필(종업원 1/2)
3rd row식품위생법 제31조 - 자가품질검사 미실시
4th row영업장외 영업(1차)
5th row영업장 외 영업
ValueCountFrequency (%)
미수료 1427
 
4.4%
위생교육 1397
 
4.3%
영업장 993
 
3.1%
외 896
 
2.8%
기존영업주 893
 
2.8%
영업 880
 
2.7%
2022년 606
 
1.9%
495
 
1.5%
1차 484
 
1.5%
및 399
 
1.2%
Other values (3900) 23912
73.8%
2024-05-11T15:59:29.491253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23240
 
14.3%
업 8159
 
5.0%
영 6808
 
4.2%
2 4163
 
2.6%
미 4110
 
2.5%
위 3832
 
2.4%
1 3459
 
2.1%
장 3169
 
2.0%
생 2706
 
1.7%
수 2434
 
1.5%
Other values (673) 99948
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118429
73.1%
Space Separator 23240
 
14.3%
Decimal Number 12810
 
7.9%
Close Punctuation 2592
 
1.6%
Open Punctuation 2549
 
1.6%
Other Punctuation 1739
 
1.1%
Dash Punctuation 533
 
0.3%
Lowercase Letter 47
 
< 0.1%
Other Number 33
 
< 0.1%
Uppercase Letter 23
 
< 0.1%
Other values (7) 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8159
 
6.9%
영 6808
 
5.7%
미 4110
 
3.5%
위 3832
 
3.2%
장 3169
 
2.7%
생 2706
 
2.3%
수 2434
 
2.1%
기 2320
 
2.0%
시 2251
 
1.9%
육 2178
 
1.8%
Other values (606) 80462
67.9%
Lowercase Letter
ValueCountFrequency (%)
g 12
25.5%
k 4
 
8.5%
e 4
 
8.5%
d 3
 
6.4%
j 3
 
6.4%
n 3
 
6.4%
m 3
 
6.4%
w 3
 
6.4%
a 2
 
4.3%
i 2
 
4.3%
Other values (6) 8
17.0%
Other Punctuation
ValueCountFrequency (%)
, 595
34.2%
. 493
28.3%
/ 422
24.3%
: 143
 
8.2%
? 31
 
1.8%
？ 21
 
1.2%
% 13
 
0.7%
※ 10
 
0.6%
; 6
 
0.3%
! 4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 5
21.7%
S 4
17.4%
C 3
13.0%
M 3
13.0%
A 2
 
8.7%
P 1
 
4.3%
H 1
 
4.3%
Γ 1
 
4.3%
R 1
 
4.3%
G 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 4163
32.5%
1 3459
27.0%
0 2298
17.9%
3 620
 
4.8%
6 567
 
4.4%
4 536
 
4.2%
9 353
 
2.8%
8 295
 
2.3%
7 282
 
2.2%
5 237
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 2432
93.8%
] 158
 
6.1%
」 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2389
93.7%
[ 158
 
6.2%
「 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
■ 3
60.0%
□ 1
 
20.0%
○ 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 10
55.6%
= 8
44.4%
Space Separator
ValueCountFrequency (%)
23240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 533
100.0%
Other Number
ValueCountFrequency (%)
① 33
100.0%
Final Punctuation
ValueCountFrequency (%)
” 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118429
73.1%
Common 43528
 
26.9%
Latin 70
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8159
 
6.9%
영 6808
 
5.7%
미 4110
 
3.5%
위 3832
 
3.2%
장 3169
 
2.7%
생 2706
 
2.3%
수 2434
 
2.1%
기 2320
 
2.0%
시 2251
 
1.9%
육 2178
 
1.8%
Other values (606) 80462
67.9%
Common
ValueCountFrequency (%)
23240
53.4%
2 4163
 
9.6%
1 3459
 
7.9%
) 2432
 
5.6%
( 2389
 
5.5%
0 2298
 
5.3%
3 620
 
1.4%
, 595
 
1.4%
6 567
 
1.3%
4 536
 
1.2%
Other values (29) 3229
 
7.4%
Latin
ValueCountFrequency (%)
g 12
17.1%
N 5
 
7.1%
k 4
 
5.7%
S 4
 
5.7%
e 4
 
5.7%
C 3
 
4.3%
d 3
 
4.3%
j 3
 
4.3%
n 3
 
4.3%
m 3
 
4.3%
Other values (17) 26
37.1%
Greek
ValueCountFrequency (%)
Γ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118415
73.1%
ASCII 43519
 
26.9%
Enclosed Alphanum 33
 
< 0.1%
None 26
 
< 0.1%
Punctuation 15
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Geometric Shapes 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23240
53.4%
2 4163
 
9.6%
1 3459
 
7.9%
) 2432
 
5.6%
( 2389
 
5.5%
0 2298
 
5.3%
3 620
 
1.4%
, 595
 
1.4%
6 567
 
1.3%
4 536
 
1.2%
Other values (45) 3220
 
7.4%
Hangul
ValueCountFrequency (%)
업 8159
 
6.9%
영 6808
 
5.7%
미 4110
 
3.5%
위 3832
 
3.2%
장 3169
 
2.7%
생 2706
 
2.3%
수 2434
 
2.1%
기 2320
 
2.0%
시 2251
 
1.9%
육 2178
 
1.8%
Other values (603) 80448
67.9%
Enclosed Alphanum
ValueCountFrequency (%)
① 33
100.0%
None
ValueCountFrequency (%)
？ 21
80.8%
「 2
 
7.7%
」 2
 
7.7%
Γ 1
 
3.8%
Punctuation
ValueCountFrequency (%)
※ 10
66.7%
” 3
 
20.0%
“ 2
 
13.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
64.3%
ㅇ 4
28.6%
ㄹ 1
 
7.1%
Geometric Shapes
ValueCountFrequency (%)
■ 3
60.0%
□ 1
 
20.0%
○ 1
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

처분내용
Text

Distinct1633
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T15:59:29.868125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length9.2884
Min length2

Characters and Unicode

Total characters92884
Distinct characters269
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1119 ?
Unique (%)11.2%

Sample

1st row시설개수명령
2nd row과태료부과
3rd row품목제조정지(2011.12.15~2012.01.14)
4th row시정명령
5th row시정명령
ValueCountFrequency (%)
과태료부과 2385
17.5%
시정명령 1880
 
13.8%
영업소폐쇄 1523
 
11.2%
영업정지 787
 
5.8%
시설개수명령 338
 
2.5%
부과 272
 
2.0%
갈음 250
 
1.8%
과징금 233
 
1.7%
20만원 181
 
1.3%
과태료 171
 
1.3%
Other values (1865) 5586
41.1%
2024-05-11T15:59:30.523750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8555
 
9.2%
0 4806
 
5.2%
부 4428
 
4.8%
정 4147
 
4.5%
3615
 
3.9%
료 3545
 
3.8%
태 3517
 
3.8%
업 3473
 
3.7%
. 3450
 
3.7%
영 3444
 
3.7%
Other values (259) 49904
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62911
67.7%
Decimal Number 17476
 
18.8%
Other Punctuation 3988
 
4.3%
Space Separator 3615
 
3.9%
Open Punctuation 2106
 
2.3%
Close Punctuation 2100
 
2.3%
Math Symbol 452
 
0.5%
Dash Punctuation 233
 
0.3%
Connector Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (225) 22825
36.3%
Other Punctuation
ValueCountFrequency (%)
. 3450
86.5%
, 348
 
8.7%
% 51
 
1.3%
/ 42
 
1.1%
: 41
 
1.0%
# 24
 
0.6%
' 14
 
0.4%
* 11
 
0.3%
※ 4
 
0.1%
? 1
 
< 0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 4806
27.5%
2 3413
19.5%
1 3211
18.4%
5 1115
 
6.4%
3 1089
 
6.2%
4 962
 
5.5%
6 918
 
5.3%
7 755
 
4.3%
8 646
 
3.7%
9 561
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 442
97.8%
= 8
 
1.8%
× 1
 
0.2%
+ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2104
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2099
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62911
67.7%
Common 29973
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (225) 22825
36.3%
Common
ValueCountFrequency (%)
0 4806
16.0%
3615
12.1%
. 3450
11.5%
2 3413
11.4%
1 3211
10.7%
( 2104
7.0%
) 2099
7.0%
5 1115
 
3.7%
3 1089
 
3.6%
4 962
 
3.2%
Other values (24) 4109
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62894
67.7%
ASCII 29967
32.3%
Compat Jamo 17
 
< 0.1%
Punctuation 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8555
 
13.6%
부 4428
 
7.0%
정 4147
 
6.6%
료 3545
 
5.6%
태 3517
 
5.6%
업 3473
 
5.5%
영 3444
 
5.5%
시 3074
 
4.9%
명 2961
 
4.7%
령 2942
 
4.7%
Other values (224) 22808
36.3%
ASCII
ValueCountFrequency (%)
0 4806
16.0%
3615
12.1%
. 3450
11.5%
2 3413
11.4%
1 3211
10.7%
( 2104
7.0%
) 2099
7.0%
5 1115
 
3.7%
3 1089
 
3.6%
4 962
 
3.2%
Other values (21) 4103
13.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
100.0%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%
None
ValueCountFrequency (%)
× 1
50.0%
？ 1
50.0%

처분기간
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.1%
Missing8877
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean10.912734
Minimum0
Maximum30
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:59:30.764120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q315
95-th percentile17
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5338408
Coefficient of variation (CV)0.5070994
Kurtosis0.45647124
Mean10.912734
Median Absolute Deviation (MAD)5
Skewness0.40286391
Sum12255
Variance30.623394
MonotonicityNot monotonic
2024-05-11T15:59:30.967357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 434
 
4.3%
7 433
 
4.3%
17 46
 
0.5%
1 37
 
0.4%
5 32
 
0.3%
0 31
 
0.3%
10 21
 
0.2%
25 12
 
0.1%
8 11
 
0.1%
30 9
 
0.1%
Other values (14) 57
 
0.6%
(Missing) 8877
88.8%
ValueCountFrequency (%)
0 31
 
0.3%
1 37
 
0.4%
2 1
 
< 0.1%
3 5
 
0.1%
4 2
 
< 0.1%
5 32
 
0.3%
6 4
 
< 0.1%
7 433
4.3%
8 11
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
30 9
 
0.1%
29 4
 
< 0.1%
27 3
 
< 0.1%
25 12
 
0.1%
23 1
 
< 0.1%
22 5
 
0.1%
20 9
 
0.1%
18 6
 
0.1%
17 46
0.5%
16 1
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2157
Distinct (%)50.2%
Missing5702
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean147.3827
Minimum0
Maximum11385
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T15:59:31.153357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.3925
Q137.12
median71.585
Q3132.21
95-th percentile506.349
Maximum11385
Range11385
Interquartile range (IQR)95.09

Descriptive statistics

Standard deviation393.3268
Coefficient of variation (CV)2.6687447
Kurtosis380.86544
Mean147.3827
Median Absolute Deviation (MAD)39.765
Skewness16.088592
Sum633450.85
Variance154705.97
MonotonicityNot monotonic
2024-05-11T15:59:31.453301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
0.3%
33.0 28
 
0.3%
32.43 24
 
0.2%
66.0 23
 
0.2%
47.67 22
 
0.2%
20.0 21
 
0.2%
49.5 21
 
0.2%
40.0 20
 
0.2%
144.0 17
 
0.2%
299.25 16
 
0.2%
Other values (2147) 4077
40.8%
(Missing) 5702
57.0%
ValueCountFrequency (%)
0.0 29
0.3%
1.0 1
 
< 0.1%
2.36 1
 
< 0.1%
2.4 1
 
< 0.1%
3.0 3
 
< 0.1%
3.2 1
 
< 0.1%
3.3 3
 
< 0.1%
3.9 1
 
< 0.1%
4.0 1
 
< 0.1%
4.22 1
 
< 0.1%
ValueCountFrequency (%)
11385.0 2
 
< 0.1%
8582.0 1
 
< 0.1%
4932.84 1
 
< 0.1%
4704.38 1
 
< 0.1%
3868.0 1
 
< 0.1%
3310.87 4
< 0.1%
3151.18 6
0.1%
2772.0 1
 
< 0.1%
2681.0 4
< 0.1%
2588.05 3
< 0.1%

Interactions

2024-05-11T15:59:15.834828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.119886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:13.067605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.025676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.849944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:16.019701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.287436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:13.319048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.197550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.993700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:16.211720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.480499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:13.492106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.398603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:15.213177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:16.417155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.655861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:13.675636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.569994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:15.424195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:16.564458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:12.892709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:13.851594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:14.727453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:59:15.658650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:59:31.954486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4080.566NaN0.9250.4280.034
업종명0.4081.0000.998NaN0.4950.6920.422
업태명0.5660.9981.000NaN0.6330.7550.754
지도점검일자NaNNaNNaN1.000NaNNaNNaN
위반일자0.9250.4950.633NaN1.0000.5860.054
처분기간0.4280.6920.755NaN0.5861.0000.201
영업장면적(㎡)0.0340.4220.754NaN0.0540.2011.000
2024-05-11T15:59:32.138155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9980.997-0.030-0.0690.190
지도점검일자0.9981.0000.998-0.033-0.0700.000
위반일자0.9970.9981.000-0.027-0.0690.192
처분기간-0.030-0.033-0.0271.000-0.1020.394
영업장면적(㎡)-0.069-0.070-0.069-0.1021.0000.189
업종명0.1900.0000.1920.3940.1891.000

Missing values

2024-05-11T15:59:16.812009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:59:17.188382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T15:59:17.566461image/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(㎡)
1381331300002013042520070069769유흥주점영업룸살롱윈저클럽서울특별시 마포구 서강로 131, (노고산동,외 2필지 지하1층)서울특별시 마포구 노고산동 57번지 46호 외 2필지 지하1층20130402처분확정시설개수명령식품위생법 제36조20130328객실잠금장치시설개수명령<NA><NA>
238531300002016042120120070236일반음식점일식스시 준서울특별시 마포구 마포대로12길 57, 1층 (공덕동)서울특별시 마포구 공덕동 242번지 15호20160314처분확정과태료부과법 제101조제2항제1호20160314건강진단 미필(종업원 1/2)과태료부과<NA><NA>
360131300002011120120020069278식품제조가공업식품제조가공업풍년상회서울특별시 마포구 백범로16길 26, (대흥동,1층)서울특별시 마포구 대흥동 327번지 1호 1층20111107처분확정품목제조정지(2011.12.15~2012.01.14)식품위생법 제76조20111107식품위생법 제31조 - 자가품질검사 미실시품목제조정지(2011.12.15~2012.01.14)<NA><NA>
579531300002013090620110069376일반음식점한식팔자막창서울특별시 마포구 잔다리로 23, (서교동,예랑빌딩 1층)서울특별시 마포구 서교동 395번지 17호 예랑빌딩 1층20130807처분확정시정명령식품위생법제36조20130807영업장외 영업(1차)시정명령<NA><NA>
575431300002014111720100070200일반음식점까페옐로우펍서울특별시 마포구 독막로9길 41, (서교동, 1~2층)서울특별시 마포구 서교동 404번지 9호20140418처분확정시정명령법제36조 시설기준 위반20140418영업장 외 영업시정명령<NA><NA>
1429331300002015060420140099188식품제조가공업식품제조가공업젠틀레이디컵케이크서울특별시 마포구 백범로 83, 2,3층 (대흥동)서울특별시 마포구 대흥동 105번지 2호 2,3층20150504처분확정시정명령법 제71조 및 법 제75조20150504생산 및 작업기록 일지 미작성시정명령<NA>32.43
422831300002011092819870069073일반음식점경양식고고스2서울특별시 마포구 와우산로 63, (서교동)서울특별시 마포구 서교동 407번지 3호20110905처분확정영업정지(수사과-7055) 혐의없음. 처분불가식품위생법 위반20110905식품위생법 위반영업정지(수사과-7055) 혐의없음. 처분불가15162.5
451931300002005092819960069798일반음식점분식그린필드서울특별시 마포구 백범로1길 8, 1층동 (노고산동)서울특별시 마포구 노고산동 31번지 77호 1층20050622처분확정영업소폐쇄식품위생법제21조,제58조20050622시설물멸실영업소폐쇄<NA>156.63
5963130000201804302014-2종합미용업피부미용업뷰티프렌즈서울특별시 마포구 홍익로6길 38, 4층 (동교동)서울특별시 마포구 동교동 164번지 17호 4층20180430처분확정과징금부과(영업정지2개월 갈음)법 제4조제4항 및 제7항20180430법 제4조제4항 (공중위생영업자의 위생관리의무등) 위반 눈썹문신 등 (유사한 의료행위)과징금부과(영업정지2개월 갈음)<NA>101.96
1439931300002011052420080069084즉석판매제조가공업즉석판매제조가공업떡세상서울특별시 마포구 만리재옛길 12, (신공덕동)서울특별시 마포구 신공덕동 15번지 1호20110407처분확정영업소폐쇄식품위생법 제75조20110407식품위생법 제36조 위반 - 영업시설물 전부 철거영업소폐쇄<NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
1369731300002023071120210071348일반음식점경양식엠프티플레이트(empty plate)서울특별시 마포구 와우산로11길 9-8, 1층 101호 (상수동)서울특별시 마포구 상수동 93번지 107호20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA><NA>
349231300002014123020140069791휴게음식점패스트푸드에고트립서울특별시 마포구 어울마당로 40, (서교동, 1층일부)서울특별시 마포구 서교동 411번지 15호 1층일부20141204처분확정영업정지법제36조 시설기준 위반, 법제37조 영업허가 등 위반20141204영업장 외 영업(2차), 영업장 면적 변경신고 미이행(2차)영업정지10<NA>
6393130000201601132015-11피부미용업, 네일미용업피부미용업고운뜰서울특별시 마포구 양화로7길 12, (서교동)서울특별시 마포구 서교동 391번지 17호 3층20160101처분확정20만원부과(2014년도 위생교육 미수료)법 제17조201601132014년도 위생교육 미수료20만원부과(2014년도 위생교육 미수료)<NA>88.73
894731300002015040320070069919일반음식점한식십이지락서울특별시 마포구 독막로7길 62, (서교동, 1,2층)서울특별시 마포구 서교동 405번지 8호20150309처분확정과징금부과(영업정지7일:658만원부과(완납)식품위생법제36조위반20150309영업장외영업행위과징금부과(영업정지7일:658만원부과(완납)7<NA>
1416431300002007070319920069618식품제조가공업식품제조가공업밀알식품서울특별시 마포구 망원로2길 69, (망원동)서울특별시 마포구 망원동 398번지 35호20070625처분확정시설개수명령식품위생법제57조제1항20070625완제품보관창고 미설치시설개수명령<NA>60.12
1081531300002009072120010069126식품소분업식품소분업태광유통<NA>서울특별시 마포구 상수동 241번지 (1층)20090612처분확정영업정지 5일(09.8.3 ~ 09.8.7.)식품위생법 제10조, 식약청고시 식품등의표시기준 제4조, 식품위생법 제59조 및 동법시행규칙 제53조20090603표시기준위반(제품명, 원재료명, 제조업소명 및 제조업소 소재지 등 허위표시)영업정지 5일(09.8.3 ~ 09.8.7.)549.5
367331300002021011520190070502식품제조가공업기타 식품제조가공업백미당서울특별시 마포구 월드컵북로22길 5, 지하층 일부호 (성산동)서울특별시 마포구 성산동 51번지 4호20201221처분확정의견제출기한내 과태료 24만원납부(2021.1.6.)법 제101조제2항제4호202012212019 생산실적 미보고의견제출기한내 과태료 24만원납부(2021.1.6.)<NA><NA>
1006131300002021060820180069220일반음식점일식홍대수카츠서울특별시 마포구 양화로6길 73, 1층 103호 (서교동)서울특별시 마포구 서교동 400번지 13호20210415처분확정시정명령법 제71조, 법 제74조 및 법 제75조20210415영업장 외 영업시정명령<NA><NA>
1123431300002010121619790069001일반음식점한식함경도집서울특별시 마포구 굴레방로9길 2, 1층동 (아현동)서울특별시 마포구 아현동 329번지 12호 1층20101012처분확정영업소폐쇄식품위생법 제75조20101012영업소폐쇄영업소폐쇄<NA>30.53
252031300002016103120130070389일반음식점한식명성왕족발서울특별시 마포구 굴레방로 29-1, 1,2층 (아현동)서울특별시 마포구 아현동 327번지 28호20161004처분확정시정명령법 제71조 및 법 제75조20161004영업장 내부 및 외부 가격표 미게시시정명령<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
34131300002021060820160069429일반음식점기타아카시아식당서울특별시 마포구 성암로13길 60, 1층 (상암동)서울특별시 마포구 상암동 1523번지20210430처분확정과태료부과법 제101조제2항 제1호20210430영업자 및 종업원 건강검진 미실시과태료부과<NA>44.736
8631300002010111919920069525일반음식점경양식나이스서울특별시 마포구 홍익로5길 21, (서교동,3층)서울특별시 마포구 서교동 355번지 4호 3층20101021처분확정영업소폐쇄식품위생법20101021영업시설물 전부 철거영업소폐쇄<NA>92.885
1331300002004081120030070032일반음식점한식섬마을이야기서울특별시 마포구 월드컵로 95, (망원동,1,2층)서울특별시 마포구 망원동 57번지 33호 1,2층20040708처분확정과태료부과40만원식품위생법 26조,78조20040708건강진단미필(종업원1/6)과태료부과40만원<NA><NA>4
4831300002006011819980069317단란주점단란주점태백산맥서울특별시 마포구 동교로 39, (망원동)서울특별시 마포구 망원동 338번지 79호20051021처분확정영업정지1월(2006.1.23.-2.22.까지)식품위생법제31조제1항,제58조20051021유흥접객원고용및접객행위영업1차영업정지1월(2006.1.23.-2.22.까지)<NA>90.444
29231300002018082320040069231일반음식점까페카페몰리공덕점서울특별시 마포구 마포대로8길 19, (공덕동)서울특별시 마포구 공덕동 249번지 23호 1층20180719처분확정시정명령법 제71조, 법 제74조 및 법 제75조20180719영업장의 면적을 변경하고 변경신고를 하지 아니함(1차)시정명령<NA><NA>4
34431300002021060820180069220일반음식점일식홍대수카츠서울특별시 마포구 양화로6길 73, 1층 103호 (서교동)서울특별시 마포구 서교동 400번지 13호20210415처분확정시정명령법 제71조, 법 제74조 및 법 제75조20210415영업장 외 영업시정명령<NA><NA>4
34731300002021062320040069009일반음식점호프/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>4
35731300002023071119980069786일반음식점한식이미서울특별시 마포구 동교로25길 7, (동교동)서울특별시 마포구 동교동 201번지 10호20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA>56.994
1231300002004072320030069793일반음식점한식신촌(집)갈비서울특별시 마포구 서강로 126-1, (노고산동,1층)서울특별시 마포구 노고산동 109번지 86호 1층20040605처분확정영업정지(영업정지15일에갈음하여과진금660만원부과)식품위생법 21조,22조5항,58조20040605영업장무단확장(1차)영업정지(영업정지15일에갈음하여과진금660만원부과)15<NA>3
1831300002004120419880069013일반음식점뷔페식경남회관서울특별시 마포구 양화로 119, (서교동,지하1층,4층,5층,6층)서울특별시 마포구 서교동 353번지 7호 지하1층,4층,5층,6층20041102처분확정과태료부과50만원식품위생법 26조,78조20041102건강진단미필(종사원2/10)과태료부과50만원<NA><NA>3