Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells15559
Missing cells (%)8.6%
Duplicate rows367
Duplicate rows (%)3.7%
Total size in memory1.5 MiB
Average record size in memory159.0 B

Variable types

Categorical4
Numeric6
Text8

Dataset

Description시군구코드,처분일자,교부번호,업종명,업태명,업소명,소재지도로명,소재지지번,지도점검일자,행정처분상태,처분명,법적근거,위반일자,위반내용,처분내용,처분기간,영업장면적(㎡),운영형태
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-11374/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 367 (3.7%) duplicate rowsDuplicates
운영형태 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 운영형태High correlation
처분일자 is highly overall correlated with 교부번호 and 2 other fieldsHigh correlation
교부번호 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 3 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 2 other fieldsHigh correlation
업종명 is highly imbalanced (56.0%)Imbalance
운영형태 is highly imbalanced (97.9%)Imbalance
소재지도로명 has 601 (6.0%) missing valuesMissing
처분기간 has 8832 (88.3%) missing valuesMissing
영업장면적(㎡) has 5950 (59.5%) missing valuesMissing
지도점검일자 is highly skewed (γ1 = -87.40895426)Skewed

Reproduction

Analysis started2024-05-11 08:25:00.344953
Analysis finished2024-05-11 08:25:24.620198
Duration24.28 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

2024-05-11T08:25:24.842322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:25.176484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2360
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20139356
Minimum20020104
Maximum20240419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:25.566032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020104
5-th percentile20040522
Q120101116
median20141117
Q320180806
95-th percentile20230711
Maximum20240419
Range220315
Interquartile range (IQR)79690

Descriptive statistics

Standard deviation55483.648
Coefficient of variation (CV)0.0027549862
Kurtosis-0.67971411
Mean20139356
Median Absolute Deviation (MAD)39894
Skewness-0.30782113
Sum2.0139356 × 1011
Variance3.0784352 × 109
MonotonicityNot monotonic
2024-05-11T08:25:26.037990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230711 616
 
6.2%
20201215 263
 
2.6%
20230303 90
 
0.9%
20160822 86
 
0.9%
20130605 83
 
0.8%
20191202 82
 
0.8%
20171229 78
 
0.8%
20191203 75
 
0.8%
20130718 68
 
0.7%
20150604 67
 
0.7%
Other values (2350) 8492
84.9%
ValueCountFrequency (%)
20020104 2
 
< 0.1%
20020107 1
 
< 0.1%
20020108 1
 
< 0.1%
20020114 1
 
< 0.1%
20020123 1
 
< 0.1%
20020204 2
 
< 0.1%
20020206 3
< 0.1%
20020218 5
0.1%
20020225 2
 
< 0.1%
20020307 2
 
< 0.1%
ValueCountFrequency (%)
20240419 2
 
< 0.1%
20240329 1
 
< 0.1%
20240229 8
0.1%
20240214 7
0.1%
20240131 1
 
< 0.1%
20240123 5
0.1%
20231228 1
 
< 0.1%
20231212 1
 
< 0.1%
20231122 3
 
< 0.1%
20231102 1
 
< 0.1%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct5736
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0062577 × 1010
Minimum1.9690069 × 1010
Maximum2.0240097 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:26.555454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9690069 × 1010
5-th percentile1.9920069 × 1010
Q12.0010069 × 1010
median2.007007 × 1010
Q32.013007 × 1010
95-th percentile2.0180071 × 1010
Maximum2.0240097 × 1010
Range5.5002836 × 108
Interquartile range (IQR)1.2000074 × 108

Descriptive statistics

Standard deviation85564005
Coefficient of variation (CV)0.0042648562
Kurtosis0.33276524
Mean2.0062577 × 1010
Median Absolute Deviation (MAD)60000430
Skewness-0.62088522
Sum2.0062577 × 1014
Variance7.3211989 × 1015
MonotonicityNot monotonic
2024-05-11T08:25:26.968234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140099188 81
 
0.8%
19880069075 33
 
0.3%
20100099174 31
 
0.3%
20010070172 28
 
0.3%
20000069169 25
 
0.2%
20020069756 24
 
0.2%
20090069546 24
 
0.2%
20140069552 24
 
0.2%
20020069342 21
 
0.2%
20160069761 21
 
0.2%
Other values (5726) 9688
96.9%
ValueCountFrequency (%)
19690069009 1
< 0.1%
19700069011 1
< 0.1%
19710069006 2
< 0.1%
19710069013 1
< 0.1%
19710069015 2
< 0.1%
19740069008 1
< 0.1%
19740069012 1
< 0.1%
19750069007 1
< 0.1%
19750069008 2
< 0.1%
19750069011 2
< 0.1%
ValueCountFrequency (%)
20240097368 1
 
< 0.1%
20230094192 3
< 0.1%
20230093405 1
 
< 0.1%
20230093077 1
 
< 0.1%
20230092330 1
 
< 0.1%
20220086161 1
 
< 0.1%
20220085959 1
 
< 0.1%
20220085352 2
< 0.1%
20220085296 2
< 0.1%
20220085288 1
 
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7129 
휴게음식점
 
439
식품제조가공업
 
380
단란주점
 
333
건강기능식품일반판매업
 
319
Other values (14)
1400 

Length

Max length13
Median length5
Mean length5.5587
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반음식점
2nd row일반음식점
3rd row식품등 수입판매업
4th row건강기능식품일반판매업
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 7129
71.3%
휴게음식점 439
 
4.4%
식품제조가공업 380
 
3.8%
단란주점 333
 
3.3%
건강기능식품일반판매업 319
 
3.2%
유흥주점영업 314
 
3.1%
식품등 수입판매업 293
 
2.9%
즉석판매제조가공업 221
 
2.2%
유통전문판매업 173
 
1.7%
제과점영업 143
 
1.4%
Other values (9) 256
 
2.6%

Length

2024-05-11T08:25:27.444159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 7129
69.3%
휴게음식점 439
 
4.3%
식품제조가공업 380
 
3.7%
단란주점 333
 
3.2%
건강기능식품일반판매업 319
 
3.1%
유흥주점영업 314
 
3.1%
식품등 293
 
2.8%
수입판매업 293
 
2.8%
즉석판매제조가공업 221
 
2.1%
유통전문판매업 173
 
1.7%
Other values (10) 399
 
3.9%

업태명
Text

Distinct64
Distinct (%)0.6%
Missing97
Missing (%)1.0%
Memory size156.2 KiB
2024-05-11T08:25:28.060760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length3.8217712
Min length2

Characters and Unicode

Total characters37847
Distinct characters142
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row경양식
2nd row한식
3rd row식품등 수입판매업
4th row영업장판매
5th row호프/통닭
ValueCountFrequency (%)
한식 2460
23.9%
호프/통닭 1320
12.8%
까페 743
 
7.2%
기타 716
 
7.0%
경양식 519
 
5.0%
분식 474
 
4.6%
일식 397
 
3.9%
식품제조가공업 380
 
3.7%
단란주점 333
 
3.2%
식품등 293
 
2.8%
Other values (53) 2662
25.9%
2024-05-11T08:25:29.344440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 5123
 
13.5%
한 2460
 
6.5%
통 1768
 
4.7%
업 1589
 
4.2%
닭 1494
 
3.9%
/ 1448
 
3.8%
호 1328
 
3.5%
프 1320
 
3.5%
판 1076
 
2.8%
매 1076
 
2.8%
Other values (132) 19165
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35365
93.4%
Other Punctuation 1480
 
3.9%
Space Separator 394
 
1.0%
Open Punctuation 304
 
0.8%
Close Punctuation 304
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 5123
 
14.5%
한 2460
 
7.0%
통 1768
 
5.0%
업 1589
 
4.5%
닭 1494
 
4.2%
호 1328
 
3.8%
프 1320
 
3.7%
판 1076
 
3.0%
매 1076
 
3.0%
품 854
 
2.4%
Other values (127) 17277
48.9%
Other Punctuation
ValueCountFrequency (%)
/ 1448
97.8%
, 32
 
2.2%
Space Separator
ValueCountFrequency (%)
394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 304
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35365
93.4%
Common 2482
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 5123
 
14.5%
한 2460
 
7.0%
통 1768
 
5.0%
업 1589
 
4.5%
닭 1494
 
4.2%
호 1328
 
3.8%
프 1320
 
3.7%
판 1076
 
3.0%
매 1076
 
3.0%
품 854
 
2.4%
Other values (127) 17277
48.9%
Common
ValueCountFrequency (%)
/ 1448
58.3%
394
 
15.9%
( 304
 
12.2%
) 304
 
12.2%
, 32
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35365
93.4%
ASCII 2482
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 5123
 
14.5%
한 2460
 
7.0%
통 1768
 
5.0%
업 1589
 
4.5%
닭 1494
 
4.2%
호 1328
 
3.8%
프 1320
 
3.7%
판 1076
 
3.0%
매 1076
 
3.0%
품 854
 
2.4%
Other values (127) 17277
48.9%
ASCII
ValueCountFrequency (%)
/ 1448
58.3%
394
 
15.9%
( 304
 
12.2%
) 304
 
12.2%
, 32
 
1.3%

업소명
Text

Distinct5715
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:25:30.216272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length5.8066
Min length1

Characters and Unicode

Total characters58066
Distinct characters1036
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3838 ?
Unique (%)38.4%

Sample

1st row조이스
2nd row한탕
3rd row와이비씨코리아(주)
4th row브릴리언트프로젝트(주)
5th row써클
ValueCountFrequency (%)
젠틀레이디컵케이크 81
 
0.7%
주식회사 68
 
0.6%
홍대점 56
 
0.5%
하이덴치킨 33
 
0.3%
tea 31
 
0.3%
에스앤에스티(sns 31
 
0.3%
김밥천국 26
 
0.2%
카페 26
 
0.2%
마포소금구이 25
 
0.2%
쏠로포차＆제임스 24
 
0.2%
Other values (6177) 10798
96.4%
2024-05-11T08:25:31.682344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1845
 
3.2%
) 1364
 
2.3%
( 1359
 
2.3%
스 1260
 
2.2%
1199
 
2.1%
주 949
 
1.6%
리 915
 
1.6%
점 891
 
1.5%
대 737
 
1.3%
마 712
 
1.2%
Other values (1026) 46835
80.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48978
84.3%
Lowercase Letter 2288
 
3.9%
Uppercase Letter 2055
 
3.5%
Close Punctuation 1364
 
2.3%
Open Punctuation 1359
 
2.3%
Space Separator 1199
 
2.1%
Decimal Number 616
 
1.1%
Other Punctuation 175
 
0.3%
Dash Punctuation 23
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1845
 
3.8%
스 1260
 
2.6%
주 949
 
1.9%
리 915
 
1.9%
점 891
 
1.8%
대 737
 
1.5%
마 712
 
1.5%
식 544
 
1.1%
포 532
 
1.1%
비 524
 
1.1%
Other values (944) 40069
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 353
15.4%
a 285
12.5%
o 189
 
8.3%
r 163
 
7.1%
n 162
 
7.1%
i 147
 
6.4%
t 108
 
4.7%
s 99
 
4.3%
l 93
 
4.1%
c 82
 
3.6%
Other values (16) 607
26.5%
Uppercase Letter
ValueCountFrequency (%)
A 166
 
8.1%
S 156
 
7.6%
N 148
 
7.2%
B 146
 
7.1%
T 144
 
7.0%
O 140
 
6.8%
E 136
 
6.6%
C 135
 
6.6%
L 99
 
4.8%
R 91
 
4.4%
Other values (16) 694
33.8%
Other Punctuation
ValueCountFrequency (%)
& 47
26.9%
. 46
26.3%
＆ 27
15.4%
, 24
13.7%
' 9
 
5.1%
？ 8
 
4.6%
! 6
 
3.4%
: 4
 
2.3%
/ 2
 
1.1%
# 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 157
25.5%
1 107
17.4%
9 72
11.7%
0 67
10.9%
8 49
 
8.0%
7 42
 
6.8%
4 34
 
5.5%
3 34
 
5.5%
5 30
 
4.9%
6 24
 
3.9%
Math Symbol
ValueCountFrequency (%)
+ 3
37.5%
> 2
25.0%
< 2
25.0%
× 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 1364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1359
100.0%
Space Separator
ValueCountFrequency (%)
1199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48954
84.3%
Common 4745
 
8.2%
Latin 4343
 
7.5%
Han 19
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1845
 
3.8%
스 1260
 
2.6%
주 949
 
1.9%
리 915
 
1.9%
점 891
 
1.8%
대 737
 
1.5%
마 712
 
1.5%
식 544
 
1.1%
포 532
 
1.1%
비 524
 
1.1%
Other values (925) 40045
81.8%
Latin
ValueCountFrequency (%)
e 353
 
8.1%
a 285
 
6.6%
o 189
 
4.4%
A 166
 
3.8%
r 163
 
3.8%
n 162
 
3.7%
S 156
 
3.6%
N 148
 
3.4%
i 147
 
3.4%
B 146
 
3.4%
Other values (42) 2428
55.9%
Common
ValueCountFrequency (%)
) 1364
28.7%
( 1359
28.6%
1199
25.3%
2 157
 
3.3%
1 107
 
2.3%
9 72
 
1.5%
0 67
 
1.4%
8 49
 
1.0%
& 47
 
1.0%
. 46
 
1.0%
Other values (20) 278
 
5.9%
Han
ValueCountFrequency (%)
愛 6
31.6%
代 1
 
5.3%
三 1
 
5.3%
俊 1
 
5.3%
女 1
 
5.3%
美 1
 
5.3%
智 1
 
5.3%
小 1
 
5.3%
昭 1
 
5.3%
福 1
 
5.3%
Other values (4) 4
21.1%
Hiragana
ValueCountFrequency (%)
の 1
20.0%
る 1
20.0%
は 1
20.0%
ゆ 1
20.0%
き 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48954
84.3%
ASCII 9052
 
15.6%
None 36
 
0.1%
CJK 18
 
< 0.1%
Hiragana 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1845
 
3.8%
스 1260
 
2.6%
주 949
 
1.9%
리 915
 
1.9%
점 891
 
1.8%
대 737
 
1.5%
마 712
 
1.5%
식 544
 
1.1%
포 532
 
1.1%
비 524
 
1.1%
Other values (925) 40045
81.8%
ASCII
ValueCountFrequency (%)
) 1364
 
15.1%
( 1359
 
15.0%
1199
 
13.2%
e 353
 
3.9%
a 285
 
3.1%
o 189
 
2.1%
A 166
 
1.8%
r 163
 
1.8%
n 162
 
1.8%
2 157
 
1.7%
Other values (69) 3655
40.4%
None
ValueCountFrequency (%)
＆ 27
75.0%
？ 8
 
22.2%
× 1
 
2.8%
CJK
ValueCountFrequency (%)
愛 6
33.3%
代 1
 
5.6%
三 1
 
5.6%
俊 1
 
5.6%
美 1
 
5.6%
智 1
 
5.6%
小 1
 
5.6%
昭 1
 
5.6%
福 1
 
5.6%
火 1
 
5.6%
Other values (3) 3
16.7%
Hiragana
ValueCountFrequency (%)
の 1
20.0%
る 1
20.0%
は 1
20.0%
ゆ 1
20.0%
き 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

소재지도로명
Text

MISSING 

Distinct5333
Distinct (%)56.7%
Missing601
Missing (%)6.0%
Memory size156.2 KiB
2024-05-11T08:25:32.721729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length63
Mean length31.276093
Min length22

Characters and Unicode

Total characters293964
Distinct characters432
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

Unique3507 ?
Unique (%)37.3%

Sample

1st row서울특별시 마포구 양화로23길 34, (동교동, 1층)
2nd row서울특별시 마포구 마포대로4라길 13, (도화동, (4층))
3rd row서울특별시 마포구 마포대로 52, (도화동, 고려아카테미텔Ⅱ 1421호)
4th row서울특별시 마포구 독막로 180, (구수동,지층)
5th row서울특별시 마포구 창전로 20, (신정동,1층)
ValueCountFrequency (%)
서울특별시 9399
 
16.9%
마포구 9399
 
16.9%
서교동 1916
 
3.4%
1층 1904
 
3.4%
동교동 595
 
1.1%
2층 549
 
1.0%
망원동 542
 
1.0%
지하1층 478
 
0.9%
합정동 447
 
0.8%
어울마당로 435
 
0.8%
Other values (3161) 29880
53.8%
2024-05-11T08:25:34.614661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46166
 
15.7%
, 16362
 
5.6%
1 14164
 
4.8%
서 12415
 
4.2%
동 11297
 
3.8%
마 10690
 
3.6%
포 10352
 
3.5%
울 9961
 
3.4%
( 9670
 
3.3%
) 9668
 
3.3%
Other values (422) 143219
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166854
56.8%
Space Separator 46166
 
15.7%
Decimal Number 42451
 
14.4%
Other Punctuation 16483
 
5.6%
Open Punctuation 9670
 
3.3%
Close Punctuation 9668
 
3.3%
Dash Punctuation 1497
 
0.5%
Uppercase Letter 1010
 
0.3%
Math Symbol 108
 
< 0.1%
Lowercase Letter 52
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12415
 
7.4%
동 11297
 
6.8%
마 10690
 
6.4%
포 10352
 
6.2%
울 9961
 
6.0%
시 9490
 
5.7%
구 9457
 
5.7%
별 9410
 
5.6%
특 9405
 
5.6%
로 9055
 
5.4%
Other values (360) 65322
39.1%
Uppercase Letter
ValueCountFrequency (%)
B 366
36.2%
C 80
 
7.9%
I 64
 
6.3%
D 63
 
6.2%
K 62
 
6.1%
T 53
 
5.2%
A 50
 
5.0%
G 49
 
4.9%
F 49
 
4.9%
M 47
 
4.7%
Other values (13) 127
 
12.6%
Lowercase Letter
ValueCountFrequency (%)
i 8
15.4%
y 8
15.4%
t 8
15.4%
e 5
9.6%
p 3
 
5.8%
s 3
 
5.8%
b 3
 
5.8%
o 2
 
3.8%
w 2
 
3.8%
r 2
 
3.8%
Other values (5) 8
15.4%
Decimal Number
ValueCountFrequency (%)
1 14164
33.4%
2 6655
15.7%
3 4311
 
10.2%
4 2963
 
7.0%
0 2939
 
6.9%
5 2866
 
6.8%
6 2682
 
6.3%
7 2035
 
4.8%
9 1958
 
4.6%
8 1878
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 16362
99.3%
. 97
 
0.6%
/ 7
 
< 0.1%
& 5
 
< 0.1%
？ 4
 
< 0.1%
@ 4
 
< 0.1%
: 2
 
< 0.1%
; 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
46166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9670
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1497
100.0%
Math Symbol
ValueCountFrequency (%)
~ 108
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166853
56.8%
Common 126043
42.9%
Latin 1067
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12415
 
7.4%
동 11297
 
6.8%
마 10690
 
6.4%
포 10352
 
6.2%
울 9961
 
6.0%
시 9490
 
5.7%
구 9457
 
5.7%
별 9410
 
5.6%
특 9405
 
5.6%
로 9055
 
5.4%
Other values (359) 65321
39.1%
Latin
ValueCountFrequency (%)
B 366
34.3%
C 80
 
7.5%
I 64
 
6.0%
D 63
 
5.9%
K 62
 
5.8%
T 53
 
5.0%
A 50
 
4.7%
G 49
 
4.6%
F 49
 
4.6%
M 47
 
4.4%
Other values (29) 184
17.2%
Common
ValueCountFrequency (%)
46166
36.6%
, 16362
 
13.0%
1 14164
 
11.2%
( 9670
 
7.7%
) 9668
 
7.7%
2 6655
 
5.3%
3 4311
 
3.4%
4 2963
 
2.4%
0 2939
 
2.3%
5 2866
 
2.3%
Other values (13) 10279
 
8.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166853
56.8%
ASCII 127101
43.2%
Number Forms 5
 
< 0.1%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46166
36.3%
, 16362
 
12.9%
1 14164
 
11.1%
( 9670
 
7.6%
) 9668
 
7.6%
2 6655
 
5.2%
3 4311
 
3.4%
4 2963
 
2.3%
0 2939
 
2.3%
5 2866
 
2.3%
Other values (50) 11337
 
8.9%
Hangul
ValueCountFrequency (%)
서 12415
 
7.4%
동 11297
 
6.8%
마 10690
 
6.4%
포 10352
 
6.2%
울 9961
 
6.0%
시 9490
 
5.7%
구 9457
 
5.7%
별 9410
 
5.6%
특 9405
 
5.6%
로 9055
 
5.4%
Other values (359) 65321
39.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
None
ValueCountFrequency (%)
？ 4
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지지번
Text

Distinct5230
Distinct (%)52.5%
Missing31
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T08:25:35.728051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length72
Mean length28.433243
Min length21

Characters and Unicode

Total characters283451
Distinct characters417
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

Unique3280 ?
Unique (%)32.9%

Sample

1st row서울특별시 마포구 도화동 200번지 1호 1층
2nd row서울특별시 마포구 동교동 148번지 11호
3rd row서울특별시 마포구 도화동 69번지 (4층)
4th row서울특별시 마포구 도화동 36번지 고려아카테미텔Ⅱ 1421호
5th row서울특별시 마포구 구수동 3번지 0호 지층
ValueCountFrequency (%)
서울특별시 9969
 
17.7%
마포구 9969
 
17.7%
서교동 2756
 
4.9%
1층 1703
 
3.0%
1호 1044
 
1.9%
동교동 832
 
1.5%
망원동 731
 
1.3%
도화동 680
 
1.2%
합정동 647
 
1.1%
2호 565
 
1.0%
Other values (2271) 27438
48.7%
2024-05-11T08:25:37.371716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70638
24.9%
서 12837
 
4.5%
1 12492
 
4.4%
지 11615
 
4.1%
동 10925
 
3.9%
마 10176
 
3.6%
포 10137
 
3.6%
시 10053
 
3.5%
구 10034
 
3.5%
울 9994
 
3.5%
Other values (407) 114550
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157016
55.4%
Space Separator 70638
24.9%
Decimal Number 52563
 
18.5%
Other Punctuation 1049
 
0.4%
Uppercase Letter 877
 
0.3%
Dash Punctuation 560
 
0.2%
Open Punctuation 317
 
0.1%
Close Punctuation 314
 
0.1%
Math Symbol 59
 
< 0.1%
Lowercase Letter 53
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 12837
 
8.2%
지 11615
 
7.4%
동 10925
 
7.0%
마 10176
 
6.5%
포 10137
 
6.5%
시 10053
 
6.4%
구 10034
 
6.4%
울 9994
 
6.4%
별 9975
 
6.4%
번 9974
 
6.4%
Other values (346) 51296
32.7%
Uppercase Letter
ValueCountFrequency (%)
B 288
32.8%
C 65
 
7.4%
I 61
 
7.0%
D 54
 
6.2%
F 52
 
5.9%
T 49
 
5.6%
K 48
 
5.5%
G 45
 
5.1%
M 42
 
4.8%
A 37
 
4.2%
Other values (13) 136
15.5%
Lowercase Letter
ValueCountFrequency (%)
t 10
18.9%
y 9
17.0%
i 9
17.0%
p 4
 
7.5%
s 4
 
7.5%
e 4
 
7.5%
w 2
 
3.8%
o 2
 
3.8%
m 2
 
3.8%
a 2
 
3.8%
Other values (4) 5
9.4%
Decimal Number
ValueCountFrequency (%)
1 12492
23.8%
3 7264
13.8%
2 6527
12.4%
4 5635
10.7%
5 4747
 
9.0%
6 3998
 
7.6%
0 3687
 
7.0%
7 2987
 
5.7%
8 2667
 
5.1%
9 2559
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 918
87.5%
. 109
 
10.4%
/ 6
 
0.6%
@ 5
 
0.5%
& 4
 
0.4%
？ 3
 
0.3%
; 2
 
0.2%
: 2
 
0.2%
Space Separator
ValueCountFrequency (%)
70638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 314
100.0%
Math Symbol
ValueCountFrequency (%)
~ 59
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157015
55.4%
Common 125500
44.3%
Latin 935
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 12837
 
8.2%
지 11615
 
7.4%
동 10925
 
7.0%
마 10176
 
6.5%
포 10137
 
6.5%
시 10053
 
6.4%
구 10034
 
6.4%
울 9994
 
6.4%
별 9975
 
6.4%
번 9974
 
6.4%
Other values (345) 51295
32.7%
Latin
ValueCountFrequency (%)
B 288
30.8%
C 65
 
7.0%
I 61
 
6.5%
D 54
 
5.8%
F 52
 
5.6%
T 49
 
5.2%
K 48
 
5.1%
G 45
 
4.8%
M 42
 
4.5%
A 37
 
4.0%
Other values (28) 194
20.7%
Common
ValueCountFrequency (%)
70638
56.3%
1 12492
 
10.0%
3 7264
 
5.8%
2 6527
 
5.2%
4 5635
 
4.5%
5 4747
 
3.8%
6 3998
 
3.2%
0 3687
 
2.9%
7 2987
 
2.4%
8 2667
 
2.1%
Other values (13) 4858
 
3.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157015
55.4%
ASCII 126427
44.6%
Number Forms 5
 
< 0.1%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70638
55.9%
1 12492
 
9.9%
3 7264
 
5.7%
2 6527
 
5.2%
4 5635
 
4.5%
5 4747
 
3.8%
6 3998
 
3.2%
0 3687
 
2.9%
7 2987
 
2.4%
8 2667
 
2.1%
Other values (49) 5785
 
4.6%
Hangul
ValueCountFrequency (%)
서 12837
 
8.2%
지 11615
 
7.4%
동 10925
 
7.0%
마 10176
 
6.5%
포 10137
 
6.5%
시 10053
 
6.4%
구 10034
 
6.4%
울 9994
 
6.4%
별 9975
 
6.4%
번 9974
 
6.4%
Other values (345) 51295
32.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
None
ValueCountFrequency (%)
？ 3
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

지도점검일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2794
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136337
Minimum2001022
Maximum20240307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:37.905885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001022
5-th percentile20040416
Q120101012
median20140828
Q320180423
95-th percentile20230711
Maximum20240307
Range18239285
Interquartile range (IQR)79411.25

Descriptive statistics

Standard deviation189696.27
Coefficient of variation (CV)0.0094205948
Kurtosis8356.3035
Mean20136337
Median Absolute Deviation (MAD)39715
Skewness-87.408954
Sum2.0136337 × 1011
Variance3.5984675 × 1010
MonotonicityNot monotonic
2024-05-11T08:25:38.415810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230711 617
 
6.2%
20200101 283
 
2.8%
20190101 187
 
1.9%
20180101 129
 
1.3%
20130912 108
 
1.1%
20171001 98
 
1.0%
20220301 90
 
0.9%
20150504 87
 
0.9%
20130906 83
 
0.8%
20160725 79
 
0.8%
Other values (2784) 8239
82.4%
ValueCountFrequency (%)
2001022 1
 
< 0.1%
20010303 4
< 0.1%
20010321 1
 
< 0.1%
20011025 2
< 0.1%
20011122 1
 
< 0.1%
20020103 2
< 0.1%
20020106 1
 
< 0.1%
20020107 1
 
< 0.1%
20020113 1
 
< 0.1%
20020122 1
 
< 0.1%
ValueCountFrequency (%)
20240307 1
 
< 0.1%
20240214 2
 
< 0.1%
20240213 13
0.1%
20240131 2
 
< 0.1%
20231121 3
 
< 0.1%
20231029 1
 
< 0.1%
20231027 1
 
< 0.1%
20231013 1
 
< 0.1%
20230918 1
 
< 0.1%
20230830 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

2024-05-11T08:25:38.947876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:39.402022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1584
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:25:39.926032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length94
Mean length9.2756
Min length2

Characters and Unicode

Total characters92756
Distinct characters275
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

Unique1049 ?
Unique (%)10.5%

Sample

1st row영업소폐쇄
2nd row시정명령
3rd row영업소폐쇄
4th row영업소폐쇄
5th row영업정지(2008.1.15~2008.2.14)
ValueCountFrequency (%)
과태료부과 2386
17.7%
시정명령 1985
 
14.7%
영업소폐쇄 1545
 
11.4%
영업정지 797
 
5.9%
시설개수명령 360
 
2.7%
부과 279
 
2.1%
갈음 257
 
1.9%
과징금 225
 
1.7%
20만원 170
 
1.3%
시정명령(즉시 154
 
1.1%
Other values (1821) 5337
39.5%
2024-05-11T08:25:41.585876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8439
 
9.1%
0 4710
 
5.1%
부 4345
 
4.7%
정 4326
 
4.7%
업 3558
 
3.8%
. 3541
 
3.8%
영 3533
 
3.8%
3502
 
3.8%
료 3474
 
3.7%
태 3455
 
3.7%
Other values (265) 49873
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62866
67.8%
Decimal Number 17551
 
18.9%
Other Punctuation 4031
 
4.3%
Space Separator 3502
 
3.8%
Open Punctuation 2061
 
2.2%
Close Punctuation 2056
 
2.2%
Math Symbol 473
 
0.5%
Dash Punctuation 213
 
0.2%
Connector Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (231) 22549
35.9%
Other Punctuation
ValueCountFrequency (%)
. 3541
87.8%
, 314
 
7.8%
/ 50
 
1.2%
: 45
 
1.1%
% 44
 
1.1%
' 15
 
0.4%
* 9
 
0.2%
# 6
 
0.1%
※ 4
 
0.1%
; 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 4710
26.8%
2 3403
19.4%
1 3241
18.5%
3 1126
 
6.4%
5 1118
 
6.4%
4 976
 
5.6%
6 890
 
5.1%
7 804
 
4.6%
8 712
 
4.1%
9 571
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 462
97.7%
= 6
 
1.3%
+ 4
 
0.8%
× 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2058
99.9%
[ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2054
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62866
67.8%
Common 29890
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (231) 22549
35.9%
Common
ValueCountFrequency (%)
0 4710
15.8%
. 3541
11.8%
3502
11.7%
2 3403
11.4%
1 3241
10.8%
( 2058
6.9%
) 2054
6.9%
3 1126
 
3.8%
5 1118
 
3.7%
4 976
 
3.3%
Other values (24) 4161
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62838
67.7%
ASCII 29884
32.2%
Compat Jamo 28
 
< 0.1%
Punctuation 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (230) 22521
35.8%
ASCII
ValueCountFrequency (%)
0 4710
15.8%
. 3541
11.8%
3502
11.7%
2 3403
11.4%
1 3241
10.8%
( 2058
6.9%
) 2054
6.9%
3 1126
 
3.8%
5 1118
 
3.7%
4 976
 
3.3%
Other values (21) 4155
13.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 28
100.0%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%
None
ValueCountFrequency (%)
？ 1
50.0%
× 1
50.0%

법적근거
Text

Distinct887
Distinct (%)8.9%
Missing38
Missing (%)0.4%
Memory size156.2 KiB
2024-05-11T08:25:42.164480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length58
Mean length14.569364
Min length1

Characters and Unicode

Total characters145140
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)4.7%

Sample

1st row식품위생법제22조제58조
2nd row법 제71조 및 법 제75조
3rd row식품위생법 제37조
4th row법 제32조
5th row식품위생법제31조,제58조
ValueCountFrequency (%)
법 8523
28.5%
및 2401
 
8.0%
제75조 2308
 
7.7%
제71조 2058
 
6.9%
식품위생법 2031
 
6.8%
제101조제2항제1호 1254
 
4.2%
제74조 1249
 
4.2%
제101조제4항1호 669
 
2.2%
위반 554
 
1.9%
식품위생법제36조 550
 
1.8%
Other values (714) 8337
27.9%
2024-05-11T08:25:43.740038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20157
13.9%
제 19194
13.2%
조 15727
 
10.8%
법 13853
 
9.5%
1 10830
 
7.5%
7 7477
 
5.2%
위 5031
 
3.5%
식 4442
 
3.1%
품 4427
 
3.1%
5 4364
 
3.0%
Other values (146) 39638
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82310
56.7%
Decimal Number 38931
26.8%
Space Separator 20157
 
13.9%
Other Punctuation 3225
 
2.2%
Close Punctuation 260
 
0.2%
Open Punctuation 254
 
0.2%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 19194
23.3%
조 15727
19.1%
법 13853
16.8%
위 5031
 
6.1%
식 4442
 
5.4%
품 4427
 
5.4%
생 4258
 
5.2%
항 3096
 
3.8%
및 2433
 
3.0%
호 2286
 
2.8%
Other values (126) 7563
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 10830
27.8%
7 7477
19.2%
5 4364
11.2%
2 3714
 
9.5%
4 3240
 
8.3%
3 2744
 
7.0%
0 2579
 
6.6%
6 2202
 
5.7%
8 1611
 
4.1%
9 170
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 3205
99.4%
. 17
 
0.5%
/ 2
 
0.1%
？ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 248
95.4%
] 12
 
4.6%
Open Punctuation
ValueCountFrequency (%)
( 242
95.3%
[ 12
 
4.7%
Space Separator
ValueCountFrequency (%)
20157
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82310
56.7%
Common 62827
43.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 19194
23.3%
조 15727
19.1%
법 13853
16.8%
위 5031
 
6.1%
식 4442
 
5.4%
품 4427
 
5.4%
생 4258
 
5.2%
항 3096
 
3.8%
및 2433
 
3.0%
호 2286
 
2.8%
Other values (126) 7563
 
9.2%
Common
ValueCountFrequency (%)
20157
32.1%
1 10830
17.2%
7 7477
 
11.9%
5 4364
 
6.9%
2 3714
 
5.9%
4 3240
 
5.2%
, 3205
 
5.1%
3 2744
 
4.4%
0 2579
 
4.1%
6 2202
 
3.5%
Other values (9) 2315
 
3.7%
Latin
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82310
56.7%
ASCII 62826
43.3%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20157
32.1%
1 10830
17.2%
7 7477
 
11.9%
5 4364
 
6.9%
2 3714
 
5.9%
4 3240
 
5.2%
, 3205
 
5.1%
3 2744
 
4.4%
0 2579
 
4.1%
6 2202
 
3.5%
Other values (8) 2314
 
3.7%
Hangul
ValueCountFrequency (%)
제 19194
23.3%
조 15727
19.1%
법 13853
16.8%
위 5031
 
6.1%
식 4442
 
5.4%
품 4427
 
5.4%
생 4258
 
5.2%
항 3096
 
3.8%
및 2433
 
3.0%
호 2286
 
2.8%
Other values (126) 7563
 
9.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
None
ValueCountFrequency (%)
？ 1
100.0%

위반일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2854
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137961
Minimum20010303
Maximum20240213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:44.285472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010303
5-th percentile20040413
Q120101011
median20140828
Q320180521
95-th percentile20230101
Maximum20240213
Range229910
Interquartile range (IQR)79510

Descriptive statistics

Standard deviation55470.111
Coefficient of variation (CV)0.0027545048
Kurtosis-0.68288385
Mean20137961
Median Absolute Deviation (MAD)39793
Skewness-0.31273363
Sum2.0137961 × 1011
Variance3.0769332 × 109
MonotonicityNot monotonic
2024-05-11T08:25:44.968636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101 651
 
6.5%
20200101 284
 
2.8%
20190101 190
 
1.9%
20130710 161
 
1.6%
20130103 128
 
1.3%
20220301 90
 
0.9%
20180101 87
 
0.9%
20150504 87
 
0.9%
20150101 86
 
0.9%
20130402 83
 
0.8%
Other values (2844) 8153
81.5%
ValueCountFrequency (%)
20010303 4
< 0.1%
20010321 1
 
< 0.1%
20011025 2
< 0.1%
20011122 1
 
< 0.1%
20020103 1
 
< 0.1%
20020104 1
 
< 0.1%
20020107 1
 
< 0.1%
20020108 1
 
< 0.1%
20020114 1
 
< 0.1%
20020123 1
 
< 0.1%
ValueCountFrequency (%)
20240213 13
0.1%
20240131 2
 
< 0.1%
20231223 2
 
< 0.1%
20231128 1
 
< 0.1%
20231121 3
 
< 0.1%
20231029 1
 
< 0.1%
20231013 1
 
< 0.1%
20231005 3
 
< 0.1%
20230918 1
 
< 0.1%
20230830 1
 
< 0.1%

위반내용
Text

Distinct2640
Distinct (%)26.4%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T08:25:45.800283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length354
Median length154
Mean length16.397698
Min length2

Characters and Unicode

Total characters163813
Distinct characters685
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1653 ?
Unique (%)16.5%

Sample

1st row현장소영업행위부재(시설물멸실)
2nd row식품위생법 상 기준 및 규격에 맞지 않는 용기,포장 사용
3rd row시설물 전부철거
4th row건기법 제32조제1항제10호의 규정에 의한 영업자가 정당한 사유없이 계속하여 6개월 이상 휴업하는 때(시설물 멸실 포함)
5th row유흥접객원고용 및 접객행위영업 1차
ValueCountFrequency (%)
미수료 1414
 
4.3%
위생교육 1329
 
4.1%
영업장 1022
 
3.1%
외 926
 
2.8%
영업 921
 
2.8%
기존영업주 913
 
2.8%
2022년 621
 
1.9%
508
 
1.6%
1차 506
 
1.5%
및 438
 
1.3%
Other values (3793) 24048
73.7%
2024-05-11T08:25:47.942569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23533
 
14.4%
업 8468
 
5.2%
영 7095
 
4.3%
2 4166
 
2.5%
미 4010
 
2.4%
위 3670
 
2.2%
1 3457
 
2.1%
장 3396
 
2.1%
생 2583
 
1.6%
) 2520
 
1.5%
Other values (675) 100915
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119703
73.1%
Space Separator 23533
 
14.4%
Decimal Number 12735
 
7.8%
Close Punctuation 2688
 
1.6%
Open Punctuation 2649
 
1.6%
Other Punctuation 1845
 
1.1%
Dash Punctuation 534
 
0.3%
Lowercase Letter 42
 
< 0.1%
Other Number 40
 
< 0.1%
Math Symbol 15
 
< 0.1%
Other values (7) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8468
 
7.1%
영 7095
 
5.9%
미 4010
 
3.3%
위 3670
 
3.1%
장 3396
 
2.8%
생 2583
 
2.2%
기 2428
 
2.0%
수 2375
 
2.0%
시 2228
 
1.9%
육 2081
 
1.7%
Other values (616) 81369
68.0%
Lowercase Letter
ValueCountFrequency (%)
g 11
26.2%
k 6
14.3%
w 5
11.9%
y 2
 
4.8%
m 2
 
4.8%
n 2
 
4.8%
r 2
 
4.8%
c 2
 
4.8%
e 2
 
4.8%
d 2
 
4.8%
Other values (5) 6
14.3%
Decimal Number
ValueCountFrequency (%)
2 4166
32.7%
1 3457
27.1%
0 2219
17.4%
3 623
 
4.9%
6 600
 
4.7%
4 503
 
3.9%
9 355
 
2.8%
7 305
 
2.4%
8 279
 
2.2%
5 228
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 657
35.6%
. 494
26.8%
/ 459
24.9%
: 143
 
7.8%
? 32
 
1.7%
% 22
 
1.2%
？ 15
 
0.8%
; 9
 
0.5%
※ 9
 
0.5%
! 5
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 3
33.3%
S 2
22.2%
M 1
 
11.1%
R 1
 
11.1%
A 1
 
11.1%
B 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 2520
93.8%
] 165
 
6.1%
」 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2481
93.7%
[ 165
 
6.2%
「 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
73.3%
= 4
 
26.7%
Other Symbol
ValueCountFrequency (%)
■ 4
80.0%
○ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
23533
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%
Other Number
ValueCountFrequency (%)
① 40
100.0%
Final Punctuation
ValueCountFrequency (%)
” 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119703
73.1%
Common 44058
 
26.9%
Latin 52
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8468
 
7.1%
영 7095
 
5.9%
미 4010
 
3.3%
위 3670
 
3.1%
장 3396
 
2.8%
생 2583
 
2.2%
기 2428
 
2.0%
수 2375
 
2.0%
시 2228
 
1.9%
육 2081
 
1.7%
Other values (616) 81369
68.0%
Common
ValueCountFrequency (%)
23533
53.4%
2 4166
 
9.5%
1 3457
 
7.8%
) 2520
 
5.7%
( 2481
 
5.6%
0 2219
 
5.0%
, 657
 
1.5%
3 623
 
1.4%
6 600
 
1.4%
- 534
 
1.2%
Other values (27) 3268
 
7.4%
Latin
ValueCountFrequency (%)
g 11
21.2%
k 6
 
11.5%
w 5
 
9.6%
N 3
 
5.8%
y 2
 
3.8%
S 2
 
3.8%
m 2
 
3.8%
n 2
 
3.8%
r 2
 
3.8%
c 2
 
3.8%
Other values (12) 15
28.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119688
73.1%
ASCII 44024
 
26.9%
Enclosed Alphanum 40
 
< 0.1%
None 21
 
< 0.1%
Punctuation 19
 
< 0.1%
Compat Jamo 15
 
< 0.1%
Geometric Shapes 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23533
53.5%
2 4166
 
9.5%
1 3457
 
7.9%
) 2520
 
5.7%
( 2481
 
5.6%
0 2219
 
5.0%
, 657
 
1.5%
3 623
 
1.4%
6 600
 
1.4%
- 534
 
1.2%
Other values (39) 3234
 
7.3%
Hangul
ValueCountFrequency (%)
업 8468
 
7.1%
영 7095
 
5.9%
미 4010
 
3.4%
위 3670
 
3.1%
장 3396
 
2.8%
생 2583
 
2.2%
기 2428
 
2.0%
수 2375
 
2.0%
시 2228
 
1.9%
육 2081
 
1.7%
Other values (612) 81354
68.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 40
100.0%
None
ValueCountFrequency (%)
？ 15
71.4%
」 3
 
14.3%
「 3
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
66.7%
ㄸ 2
 
13.3%
ㅇ 2
 
13.3%
ㄹ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
※ 9
47.4%
” 6
31.6%
“ 4
21.1%
Geometric Shapes
ValueCountFrequency (%)
■ 4
80.0%
○ 1
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

처분내용
Text

Distinct1584
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:25:48.846234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length94
Mean length9.2756
Min length2

Characters and Unicode

Total characters92756
Distinct characters275
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

Unique1049 ?
Unique (%)10.5%

Sample

1st row영업소폐쇄
2nd row시정명령
3rd row영업소폐쇄
4th row영업소폐쇄
5th row영업정지(2008.1.15~2008.2.14)
ValueCountFrequency (%)
과태료부과 2386
17.7%
시정명령 1985
 
14.7%
영업소폐쇄 1545
 
11.4%
영업정지 797
 
5.9%
시설개수명령 360
 
2.7%
부과 279
 
2.1%
갈음 257
 
1.9%
과징금 225
 
1.7%
20만원 170
 
1.3%
시정명령(즉시 154
 
1.1%
Other values (1821) 5337
39.5%
2024-05-11T08:25:50.898839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 8439
 
9.1%
0 4710
 
5.1%
부 4345
 
4.7%
정 4326
 
4.7%
업 3558
 
3.8%
. 3541
 
3.8%
영 3533
 
3.8%
3502
 
3.8%
료 3474
 
3.7%
태 3455
 
3.7%
Other values (265) 49873
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62866
67.8%
Decimal Number 17551
 
18.9%
Other Punctuation 4031
 
4.3%
Space Separator 3502
 
3.8%
Open Punctuation 2061
 
2.2%
Close Punctuation 2056
 
2.2%
Math Symbol 473
 
0.5%
Dash Punctuation 213
 
0.2%
Connector Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (231) 22549
35.9%
Other Punctuation
ValueCountFrequency (%)
. 3541
87.8%
, 314
 
7.8%
/ 50
 
1.2%
: 45
 
1.1%
% 44
 
1.1%
' 15
 
0.4%
* 9
 
0.2%
# 6
 
0.1%
※ 4
 
0.1%
; 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 4710
26.8%
2 3403
19.4%
1 3241
18.5%
3 1126
 
6.4%
5 1118
 
6.4%
4 976
 
5.6%
6 890
 
5.1%
7 804
 
4.6%
8 712
 
4.1%
9 571
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 462
97.7%
= 6
 
1.3%
+ 4
 
0.8%
× 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 2058
99.9%
[ 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2054
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62866
67.8%
Common 29890
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (231) 22549
35.9%
Common
ValueCountFrequency (%)
0 4710
15.8%
. 3541
11.8%
3502
11.7%
2 3403
11.4%
1 3241
10.8%
( 2058
6.9%
) 2054
6.9%
3 1126
 
3.8%
5 1118
 
3.7%
4 976
 
3.3%
Other values (24) 4161
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62838
67.7%
ASCII 29884
32.2%
Compat Jamo 28
 
< 0.1%
Punctuation 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 8439
 
13.4%
부 4345
 
6.9%
정 4326
 
6.9%
업 3558
 
5.7%
영 3533
 
5.6%
료 3474
 
5.5%
태 3455
 
5.5%
시 3208
 
5.1%
명 3002
 
4.8%
령 2977
 
4.7%
Other values (230) 22521
35.8%
ASCII
ValueCountFrequency (%)
0 4710
15.8%
. 3541
11.8%
3502
11.7%
2 3403
11.4%
1 3241
10.8%
( 2058
6.9%
) 2054
6.9%
3 1126
 
3.8%
5 1118
 
3.7%
4 976
 
3.3%
Other values (21) 4155
13.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 28
100.0%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%
None
ValueCountFrequency (%)
？ 1
50.0%
× 1
50.0%

처분기간
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)2.1%
Missing8832
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean10.831336
Minimum0
Maximum30
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:51.696479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median8
Q315
95-th percentile17
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.1604731
Coefficient of variation (CV)0.47643922
Kurtosis0.34608495
Mean10.831336
Median Absolute Deviation (MAD)7
Skewness0.38274335
Sum12651
Variance26.630483
MonotonicityNot monotonic
2024-05-11T08:25:52.390843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7 475
 
4.8%
15 451
 
4.5%
17 48
 
0.5%
5 32
 
0.3%
10 29
 
0.3%
1 25
 
0.2%
0 23
 
0.2%
20 11
 
0.1%
8 11
 
0.1%
13 8
 
0.1%
Other values (14) 55
 
0.5%
(Missing) 8832
88.3%
ValueCountFrequency (%)
0 23
 
0.2%
1 25
 
0.2%
2 2
 
< 0.1%
3 6
 
0.1%
4 6
 
0.1%
5 32
 
0.3%
6 5
 
0.1%
7 475
4.8%
8 11
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
30 7
 
0.1%
29 3
 
< 0.1%
27 3
 
< 0.1%
25 2
 
< 0.1%
23 2
 
< 0.1%
22 7
 
0.1%
21 2
 
< 0.1%
20 11
 
0.1%
18 2
 
< 0.1%
17 48
0.5%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct1994
Distinct (%)49.2%
Missing5950
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean122.95179
Minimum0
Maximum3310.87
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:25:53.215013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.989
Q139.6
median71.8
Q3130.54
95-th percentile392.1
Maximum3310.87
Range3310.87
Interquartile range (IQR)90.94

Descriptive statistics

Standard deviation183.30028
Coefficient of variation (CV)1.4908305
Kurtosis77.320831
Mean122.95179
Median Absolute Deviation (MAD)38.84
Skewness6.6289198
Sum497954.73
Variance33598.991
MonotonicityNot monotonic
2024-05-11T08:25:53.989497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.43 31
 
0.3%
47.67 24
 
0.2%
33.0 23
 
0.2%
40.0 21
 
0.2%
20.0 20
 
0.2%
299.25 19
 
0.2%
144.0 19
 
0.2%
10.0 18
 
0.2%
80.0 15
 
0.1%
50.0 15
 
0.1%
Other values (1984) 3845
38.5%
(Missing) 5950
59.5%
ValueCountFrequency (%)
0.0 11
0.1%
1.0 1
 
< 0.1%
2.36 1
 
< 0.1%
2.4 1
 
< 0.1%
3.0 2
 
< 0.1%
3.3 3
 
< 0.1%
3.9 1
 
< 0.1%
4.0 2
 
< 0.1%
4.22 1
 
< 0.1%
4.35 2
 
< 0.1%
ValueCountFrequency (%)
3310.87 2
< 0.1%
2588.05 3
< 0.1%
1602.92 1
 
< 0.1%
1489.53 2
< 0.1%
1285.2 1
 
< 0.1%
1231.83 1
 
< 0.1%
1198.48 1
 
< 0.1%
1197.3 1
 
< 0.1%
1175.88 4
< 0.1%
1152.8 1
 
< 0.1%

운영형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9956 
직영
 
41
(조합)위탁
 
2
준직영
 
1

Length

Max length6
Median length4
Mean length3.9921
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9956
99.6%
직영 41
 
0.4%
(조합)위탁 2
 
< 0.1%
준직영 1
 
< 0.1%

Length

2024-05-11T08:25:54.743727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:55.406449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9956
99.6%
직영 41
 
0.4%
조합)위탁 2
 
< 0.1%
준직영 1
 
< 0.1%

Interactions

2024-05-11T08:25:20.574379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:09.123880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:11.368456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:13.866902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:16.000515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:18.442321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:20.871769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:09.523496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:11.777513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:14.216712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:16.303111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:18.687619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:21.231486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:09.928338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:12.145809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:14.578196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:17.015879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:19.108777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:21.635990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:10.348164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:12.580325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:14.904476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:17.378122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:19.397132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:21.994566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:10.646154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:13.033244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:15.247478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:17.708827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:19.840862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:22.291428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:10.981499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:13.419204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:15.626537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:18.103952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:20.141771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T08:25:55.767788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)운영형태
처분일자1.0000.7290.4120.579NaN0.9930.5170.0930.000
교부번호0.7291.0000.4280.650NaN0.7340.5900.0950.000
업종명0.4120.4281.0001.000NaN0.4200.5680.253NaN
업태명0.5790.6501.0001.000NaN0.5840.6420.5190.595
지도점검일자NaNNaNNaNNaN1.000NaNNaNNaNNaN
위반일자0.9930.7340.4200.584NaN1.0000.5620.0730.217
처분기간0.5170.5900.5680.642NaN0.5621.0000.000NaN
영업장면적(㎡)0.0930.0950.2530.519NaN0.0730.0001.0000.396
운영형태0.0000.000NaN0.595NaN0.217NaN0.3961.000
2024-05-11T08:25:56.282465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영형태업종명
운영형태1.0001.000
업종명1.0001.000
2024-05-11T08:25:56.761702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자교부번호지도점검일자위반일자처분기간영업장면적(㎡)업종명운영형태
처분일자1.0000.6480.9980.998-0.054-0.0420.1670.000
교부번호0.6481.0000.6450.6470.0890.0420.1750.000
지도점검일자0.9980.6451.0000.999-0.056-0.0440.0361.000
위반일자0.9980.6470.9991.000-0.055-0.0430.1710.116
처분기간-0.0540.089-0.056-0.0551.000-0.0590.3180.000
영업장면적(㎡)-0.0420.042-0.044-0.043-0.0591.0000.1170.218
업종명0.1670.1750.0360.1710.3180.1171.0001.000
운영형태0.0000.0001.0000.1160.0000.2181.0001.000

Missing values

2024-05-11T08:25:22.778028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T08:25:23.671213image/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.
2024-05-11T08:25:24.318660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
113431300002008072120060069112일반음식점경양식조이스<NA>서울특별시 마포구 도화동 200번지 1호 1층20080703처분확정영업소폐쇄식품위생법제22조제58조20080703현장소영업행위부재(시설물멸실)영업소폐쇄<NA><NA><NA>
147831300002019091020100069236일반음식점한식한탕서울특별시 마포구 양화로23길 34, (동교동, 1층)서울특별시 마포구 동교동 148번지 11호20190820처분확정시정명령법 제71조 및 법 제75조20190820식품위생법 상 기준 및 규격에 맞지 않는 용기,포장 사용시정명령<NA>52.84<NA>
669831300002014082520110069444식품등 수입판매업식품등 수입판매업와이비씨코리아(주)서울특별시 마포구 마포대로4라길 13, (도화동, (4층))서울특별시 마포구 도화동 69번지 (4층)20140514처분확정영업소폐쇄식품위생법 제37조20140514시설물 전부철거영업소폐쇄<NA><NA><NA>
1406131300002016122020060069612건강기능식품일반판매업영업장판매브릴리언트프로젝트(주)서울특별시 마포구 마포대로 52, (도화동, 고려아카테미텔Ⅱ 1421호)서울특별시 마포구 도화동 36번지 고려아카테미텔Ⅱ 1421호20160908처분확정영업소폐쇄법 제32조20160908건기법 제32조제1항제10호의 규정에 의한 영업자가 정당한 사유없이 계속하여 6개월 이상 휴업하는 때(시설물 멸실 포함)영업소폐쇄<NA><NA><NA>
746831300002007121319990069566일반음식점호프/통닭써클서울특별시 마포구 독막로 180, (구수동,지층)서울특별시 마포구 구수동 3번지 0호 지층20071106처분확정영업정지(2008.1.15~2008.2.14)식품위생법제31조,제58조20071106유흥접객원고용 및 접객행위영업 1차영업정지(2008.1.15~2008.2.14)<NA>41.7<NA>
828831300002010102120070069942일반음식점한식채선당 광흥창점서울특별시 마포구 창전로 20, (신정동,1층)서울특별시 마포구 신정동 28번지 2호 1층20100928처분확정과태료부과(과태료24만원)식품위생법20100928종사원 건강진단미필(1/3), 조리음식에 이물질 혼입과태료부과(과태료24만원)<NA><NA><NA>
916331300002018101120160069397일반음식점기타리틀앨리캣(LITTLEALLEYCAT)서울특별시 마포구 성지3길 22, (합정동, 1층일부)서울특별시 마포구 합정동 370번지 4호 1층일부20180101처분확정과태료부과법 제101조제2항제1호201801012017위생교육미수료과태료부과<NA>37.6<NA>
1362531300002015060420140099188식품제조가공업식품제조가공업젠틀레이디컵케이크서울특별시 마포구 백범로 83, 2,3층 (대흥동)서울특별시 마포구 대흥동 105번지 2호 2,3층20150504처분확정시정명령법 제71조 및 법 제75조20150504원료수불부 관계서류 미작성시정명령<NA>32.43<NA>
901731300002023071120140070547일반음식점까페아날로그가든서울특별시 마포구 동교로 145, 1층 (서교동)서울특별시 마포구 서교동 446번지 58호 1층20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA><NA><NA>
637731300002020121520180070717휴게음식점기타 휴게음식점카페뚜또서울특별시 마포구 백범로 205, 101동 B212호 (신공덕동, 마포펜트라우스)서울특별시 마포구 신공덕동 172번지 마포펜트라우스20200101처분확정과태료부과법 제101조제2항제1호202001012019 위생교육 미수료과태료부과<NA>28.67<NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태
363031300002003111919910069039일반음식점중국식만석루서울특별시 마포구 마포대로11길 7-6, (공덕동)서울특별시 마포구 공덕동 232번지 6호20031118처분확정시설개수명령(03.12.21까지)식품위생법 21조,58조20031118조리장위생불량(환기시설불량)시설개수명령(03.12.21까지)<NA>144.61<NA>
651431300002012122719980070004즉석판매제조가공업즉석판매제조가공업한방건강원서울특별시 마포구 월드컵로 100, (성산동)서울특별시 마포구 성산동 649번지 4호20121205처분확정영업정지 7일 갈음 과징금 56만원 부과식품위생법 제75조20121205식품위생법 제44조(영업자 등의 준수사항)-불법 도축 축산물(염소)을 식품 제조가공(중탕)에 사용영업정지 7일 갈음 과징금 56만원 부과722.5<NA>
92631300002005112520030070093일반음식점한식연안식당서울특별시 마포구 서강로20길 10, (노고산동)서울특별시 마포구 노고산동 106번지 8호20051005처분확정영업정지7일갈음과징금56만원부과식품위생법21조,제22조,제58조20051005영업장무단확장영업영업정지7일갈음과징금56만원부과757.85<NA>
91731300002018041120030069926일반음식점호프/통닭올오브락서울특별시 마포구 와우산로 156, (서교동,지하1층)서울특별시 마포구 서교동 325번지 26호 지하1층20170610처분확정영업정지 1개월 갈음 과징금부과법 제71조 및 법 제75조20170610미등록유흥주점영업영업정지 1개월 갈음 과징금부과<NA><NA><NA>
856331300002011051320100069164일반음식점경양식휴서울특별시 마포구 와우산로21길 31-10, (서교동,4층)서울특별시 마포구 서교동 364번지 22호 4층20110303처분확정시설개수명령식품위생법 제44조 위반20110303시설기준위반시설개수명령<NA><NA><NA>
183731300002016080820130070215일반음식점정종/대포집/소주방코다차야 홍대점서울특별시 마포구 와우산로 48, 지하1층 101~110호 (상수동, 로하스타워 )서울특별시 마포구 상수동 93번지 45호 로하스타워 지하1층-101~11020160630처분확정과징금부과(영업정지15일갈음:1,950만원)법 제71조 및 법 제75조20160630유통기한이 경과된 제품을 조리목적으로 보관과징금부과(영업정지15일갈음:1,950만원)152588.05<NA>
395131300002013101619980069371일반음식점호프/통닭개미서울특별시 마포구 독막로 247-1, (대흥동)서울특별시 마포구 대흥동 328번지 1호20130606처분확정영업정지15일 갈음하는 과징금 75만원식품위생법제44조20130606유흥접객원고용(1차)영업정지15일 갈음하는 과징금 75만원<NA>16.28<NA>
350331300002017011119760069017일반음식점한식꼼보포차홍대직영점서울특별시 마포구 양화로16길 34, (서교동, 1층)서울특별시 마포구 서교동 369번지 41호20161214처분확정시정명령법 제71조, 법 제74조 및 법 제75조20161214영업장 외 영업시정명령<NA>34.2<NA>
803731300002015070620040070554일반음식점분식김밥천국(상수점)서울특별시 마포구 독막로 93-1, (상수동, 1,2층)서울특별시 마포구 상수동 309번지 2호20150609처분확정과태료부과법 제101조제2항 제1호20150609종업원건강진단미필(6명중1명)과태료부과<NA><NA><NA>
275931300002005040819990070452휴게음식점편의점동양마트(주)서울특별시 마포구 와우산로23길 39, (서교동)서울특별시 마포구 서교동 345번지 19호20050128처분확정과태료부과(20만원부과), 시정명령1차식품위생법 제27조 제1항, 제78조, 제55조20050128위생교육미필과태료부과(20만원부과), 시정명령1차<NA>4.35<NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)운영형태# duplicates
8631300002010111919920069525일반음식점경양식나이스서울특별시 마포구 홍익로5길 21, (서교동,3층)서울특별시 마포구 서교동 355번지 4호 3층20101021처분확정영업소폐쇄식품위생법20101021영업시설물 전부 철거영업소폐쇄<NA>92.88<NA>7
14331300002013121320080070150건강기능식품일반판매업전자상거래(통신판매업)천우헬스라이프서울특별시 마포구 잔다리로7안길 23, 201호 (서교동, 우전빌딩)서울특별시 마포구 서교동 378번지 12호 우전빌딩-20120130628처분확정영업소폐쇄건강기능식품에 관한 법률 제32조20130628영업자가 정당한 사유없이 계속하여 6월이상 휴업영업소폐쇄<NA><NA><NA>4
24831300002017071120120070382일반음식점까페데미타스서울특별시 마포구 성암로 207, (상암동, 1층)서울특별시 마포구 상암동 1445번지20170601처분확정시정명령법 제71조, 법 제74조 및 법 제75조20170601영업장 외 영업시정명령<NA><NA><NA>4
32631300002020020420130070284건강기능식품일반판매업전자상거래(통신판매업)(주)엘솔컴퍼니서울특별시 마포구 연희로 11, 4층 (동교동, 한국특허정보원빌딩 )서울특별시 마포구 동교동 146번지 8호20190806처분확정과징금부과법 제14조부터 제16조까지20190806심의를 받지 아니하거나 심의 결과에 따르지 아니한 광고과징금부과9<NA><NA>4
34131300002021060820160069429일반음식점기타아카시아식당서울특별시 마포구 성암로13길 60, 1층 (상암동)서울특별시 마포구 상암동 1523번지20210430처분확정과태료부과법 제101조제2항 제1호20210430영업자 및 종업원 건강검진 미실시과태료부과<NA>44.73<NA>4
35631300002023071119980069786일반음식점한식이미서울특별시 마포구 동교로25길 7, (동교동)서울특별시 마포구 동교동 201번지 10호20230711처분확정과태료부과법 제101조제4항1호202301012022년 기존영업주 위생교육 미수료과태료부과<NA>56.99<NA>4
1331300002004122819980069444즉석판매제조가공업즉석판매제조가공업대광유통서울특별시 마포구 월드컵로 235, (성산동,(농수산물시장내 1509호))서울특별시 마포구 성산동 533번지 1호 (농수산물시장내 1509호)20041001처분확정영업정지 30일식품위생법 제22조, 식품위생법 제58조 및 동법 시행규칙 제53조 관련20041001신고업종 영업행위가 아닌 다른 영종의 영업행위영업정지 30일30<NA><NA>3
2531300002005061819850069099식품제조가공업식품제조가공업마포식품<NA>서울특별시 마포구 아현동 418번지 4호 (지층)20050524처분확정품목류 제조정지 7일 및 당해제품폐기식품위생법 제3조20050321냉장제품을 실온에 보관품목류 제조정지 7일 및 당해제품폐기7<NA><NA>3
2631300002005061819850069099식품제조가공업식품제조가공업마포식품<NA>서울특별시 마포구 아현동 418번지 4호 (지층)20050524처분확정품목류 제조정지 7일 및 당해제품폐기식품위생법 제3조20050321품목 제조변경보고를 하지 않고 첨가물 사용품목류 제조정지 7일 및 당해제품폐기7<NA><NA>3
2831300002005070620030069444일반음식점한식홍가서울특별시 마포구 와우산로21길 20-5, (서교동,1층)서울특별시 마포구 서교동 358번지 122호 1층20050525처분확정정지15일갈음 과징금 540만원부과식품위생법제21조,제58조,제65조, 동법시행규칙제53조20050525영업장무단확장영업 1차정지15일갈음 과징금 540만원부과15<NA><NA>3