Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells16221
Missing cells (%)9.5%
Duplicate rows528
Duplicate rows (%)5.3%
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(㎡)
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-10379/S/1/datasetView.do

Alerts

시군구코드 has constant value ""Constant
행정처분상태 has constant value ""Constant
Dataset has 528 (5.3%) duplicate rowsDuplicates
처분일자 is highly overall correlated with 지도점검일자 and 1 other fieldsHigh correlation
지도점검일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
위반일자 is highly overall correlated with 처분일자 and 1 other fieldsHigh correlation
소재지도로명 has 2237 (22.4%) missing valuesMissing
법적근거 has 675 (6.8%) missing valuesMissing
처분기간 has 8525 (85.2%) missing valuesMissing
영업장면적(㎡) has 4700 (47.0%) missing valuesMissing
지도점검일자 is highly skewed (γ1 = -84.47453781)Skewed
위반일자 is highly skewed (γ1 = -64.846281)Skewed

Reproduction

Analysis started2024-05-18 01:38:39.569878
Analysis finished2024-05-18 01:38:57.267854
Duration17.7 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
3050000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 10000
100.0%

Length

2024-05-18T10:38:57.445108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:38:57.805184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 10000
100.0%

처분일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2873
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121299
Minimum19991206
Maximum20240401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T10:38:58.252081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19991206
5-th percentile20020423
Q120070302
median20121212
Q320171227
95-th percentile20211230
Maximum20240401
Range249195
Interquartile range (IQR)100925

Descriptive statistics

Standard deviation62352.066
Coefficient of variation (CV)0.0030988092
Kurtosis-1.0930523
Mean20121299
Median Absolute Deviation (MAD)50690
Skewness-0.12464309
Sum2.0121299 × 1011
Variance3.8877801 × 109
MonotonicityNot monotonic
2024-05-18T10:38:58.760245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170424 109
 
1.1%
20180525 85
 
0.9%
20200708 72
 
0.7%
20180803 69
 
0.7%
20150520 68
 
0.7%
20181211 67
 
0.7%
20150603 59
 
0.6%
20111228 59
 
0.6%
20171229 58
 
0.6%
20061228 55
 
0.5%
Other values (2863) 9299
93.0%
ValueCountFrequency (%)
19991206 1
< 0.1%
20000226 1
< 0.1%
20001011 1
< 0.1%
20001218 2
< 0.1%
20010102 1
< 0.1%
20010103 1
< 0.1%
20010115 2
< 0.1%
20010117 1
< 0.1%
20010122 1
< 0.1%
20010126 1
< 0.1%
ValueCountFrequency (%)
20240401 1
 
< 0.1%
20240327 4
< 0.1%
20240315 2
< 0.1%
20240311 1
 
< 0.1%
20240308 1
 
< 0.1%
20240305 2
< 0.1%
20240226 2
< 0.1%
20240223 1
 
< 0.1%
20240221 1
 
< 0.1%
20240213 1
 
< 0.1%

교부번호
Text

Distinct5082
Distinct (%)50.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-18T10:38:59.471325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.677168
Min length2

Characters and Unicode

Total characters106761
Distinct characters12
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

Unique3331 ?
Unique (%)33.3%

Sample

1st row20190042129
2nd row02300430100140
3rd row20130042206
4th row0012
5th row20090042877
ValueCountFrequency (%)
20050043165 111
 
1.1%
20150042542 97
 
1.0%
20150042818 77
 
0.8%
20130042049 64
 
0.6%
20000042815 50
 
0.5%
19860042158 48
 
0.5%
20060042813 39
 
0.4%
20050042442 36
 
0.4%
19970042620 25
 
0.3%
20130042880 25
 
0.3%
Other values (5072) 9427
94.3%
2024-05-18T10:39:00.724652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35379
33.1%
2 18863
17.7%
4 13327
 
12.5%
1 9934
 
9.3%
9 8223
 
7.7%
3 5492
 
5.1%
8 4259
 
4.0%
5 4210
 
3.9%
6 3634
 
3.4%
7 3406
 
3.2%
Other values (2) 34
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 106727
> 99.9%
Dash Punctuation 33
 
< 0.1%
Other Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35379
33.1%
2 18863
17.7%
4 13327
 
12.5%
1 9934
 
9.3%
9 8223
 
7.7%
3 5492
 
5.1%
8 4259
 
4.0%
5 4210
 
3.9%
6 3634
 
3.4%
7 3406
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Letter
ValueCountFrequency (%)
원 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106760
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35379
33.1%
2 18863
17.7%
4 13327
 
12.5%
1 9934
 
9.3%
9 8223
 
7.7%
3 5492
 
5.1%
8 4259
 
4.0%
5 4210
 
3.9%
6 3634
 
3.4%
7 3406
 
3.2%
Hangul
ValueCountFrequency (%)
원 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106760
> 99.9%
Hangul 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35379
33.1%
2 18863
17.7%
4 13327
 
12.5%
1 9934
 
9.3%
9 8223
 
7.7%
3 5492
 
5.1%
8 4259
 
4.0%
5 4210
 
3.9%
6 3634
 
3.4%
7 3406
 
3.2%
Hangul
ValueCountFrequency (%)
원 1
100.0%

업종명
Categorical

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
4768 
식품제조가공업
1165 
즉석판매제조가공업
751 
건강기능식품일반판매업
 
472
유흥주점영업
 
449
Other values (31)
2395 

Length

Max length13
Median length5
Mean length6.0411
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row휴게음식점
2nd row이용업
3rd row일반음식점
4th row숙박업(일반)
5th row일반음식점

Common Values

ValueCountFrequency (%)
일반음식점 4768
47.7%
식품제조가공업 1165
 
11.7%
즉석판매제조가공업 751
 
7.5%
건강기능식품일반판매업 472
 
4.7%
유흥주점영업 449
 
4.5%
단란주점 423
 
4.2%
휴게음식점 389
 
3.9%
식품소분업 328
 
3.3%
식품등 수입판매업 254
 
2.5%
유통전문판매업 199
 
2.0%
Other values (26) 802
 
8.0%

Length

2024-05-18T10:39:01.517863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 4768
46.5%
식품제조가공업 1165
 
11.4%
즉석판매제조가공업 751
 
7.3%
건강기능식품일반판매업 472
 
4.6%
유흥주점영업 449
 
4.4%
단란주점 423
 
4.1%
휴게음식점 389
 
3.8%
식품소분업 328
 
3.2%
수입판매업 254
 
2.5%
식품등 254
 
2.5%
Other values (24) 1007
 
9.8%

업태명
Text

Distinct88
Distinct (%)0.9%
Missing45
Missing (%)0.4%
Memory size156.2 KiB
2024-05-18T10:39:02.424465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.9039679
Min length2

Characters and Unicode

Total characters48819
Distinct characters171
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

Unique9 ?
Unique (%)0.1%

Sample

1st row커피숍
2nd row일반이용업
3rd row한식
4th row여관업
5th row호프/통닭
ValueCountFrequency (%)
한식 1881
17.9%
호프/통닭 1256
 
11.9%
식품제조가공업 1165
 
11.1%
즉석판매제조가공업 751
 
7.1%
분식 465
 
4.4%
단란주점 423
 
4.0%
기타 415
 
3.9%
룸살롱 369
 
3.5%
식품소분업 328
 
3.1%
경양식 261
 
2.5%
Other values (79) 3200
30.4%
2024-05-18T10:39:03.957408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4932
 
10.1%
업 3832
 
7.8%
제 2021
 
4.1%
조 1987
 
4.1%
공 1984
 
4.1%
가 1921
 
3.9%
품 1899
 
3.9%
한 1883
 
3.9%
매 1812
 
3.7%
판 1808
 
3.7%
Other values (161) 24740
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46155
94.5%
Other Punctuation 1562
 
3.2%
Space Separator 559
 
1.1%
Close Punctuation 254
 
0.5%
Open Punctuation 254
 
0.5%
Math Symbol 35
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4932
 
10.7%
업 3832
 
8.3%
제 2021
 
4.4%
조 1987
 
4.3%
공 1984
 
4.3%
가 1921
 
4.2%
품 1899
 
4.1%
한 1883
 
4.1%
매 1812
 
3.9%
판 1808
 
3.9%
Other values (154) 22076
47.8%
Other Punctuation
ValueCountFrequency (%)
/ 1558
99.7%
, 3
 
0.2%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 254
100.0%
Open Punctuation
ValueCountFrequency (%)
( 254
100.0%
Math Symbol
ValueCountFrequency (%)
+ 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46155
94.5%
Common 2664
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4932
 
10.7%
업 3832
 
8.3%
제 2021
 
4.4%
조 1987
 
4.3%
공 1984
 
4.3%
가 1921
 
4.2%
품 1899
 
4.1%
한 1883
 
4.1%
매 1812
 
3.9%
판 1808
 
3.9%
Other values (154) 22076
47.8%
Common
ValueCountFrequency (%)
/ 1558
58.5%
559
 
21.0%
) 254
 
9.5%
( 254
 
9.5%
+ 35
 
1.3%
, 3
 
0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46155
94.5%
ASCII 2664
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4932
 
10.7%
업 3832
 
8.3%
제 2021
 
4.4%
조 1987
 
4.3%
공 1984
 
4.3%
가 1921
 
4.2%
품 1899
 
4.1%
한 1883
 
4.1%
매 1812
 
3.9%
판 1808
 
3.9%
Other values (154) 22076
47.8%
ASCII
ValueCountFrequency (%)
/ 1558
58.5%
559
 
21.0%
) 254
 
9.5%
( 254
 
9.5%
+ 35
 
1.3%
, 3
 
0.1%
. 1
 
< 0.1%

업소명
Text

Distinct4978
Distinct (%)49.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T10:39:04.856853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length5.0903
Min length1

Characters and Unicode

Total characters50903
Distinct characters950
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3235 ?
Unique (%)32.4%

Sample

1st row동네책방
2nd row보성
3rd row팡팡
4th row우정
5th row파전마을
ValueCountFrequency (%)
정우식품 107
 
1.0%
영화식품 106
 
1.0%
에스제이바이오 77
 
0.7%
천년약초 68
 
0.6%
주식회사 54
 
0.5%
승화식품 47
 
0.4%
선경바이오 45
 
0.4%
플러스라이프 41
 
0.4%
미래식품 40
 
0.4%
베이커리샌드 36
 
0.3%
Other values (5219) 10030
94.2%
2024-05-18T10:39:06.595258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1348
 
2.6%
식 1226
 
2.4%
주 1030
 
2.0%
스 979
 
1.9%
) 971
 
1.9%
( 970
 
1.9%
리 791
 
1.6%
품 739
 
1.5%
651
 
1.3%
점 626
 
1.2%
Other values (940) 41572
81.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46190
90.7%
Close Punctuation 971
 
1.9%
Open Punctuation 970
 
1.9%
Uppercase Letter 808
 
1.6%
Lowercase Letter 759
 
1.5%
Space Separator 651
 
1.3%
Decimal Number 386
 
0.8%
Other Punctuation 148
 
0.3%
Dash Punctuation 10
 
< 0.1%
Letter Number 8
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1348
 
2.9%
식 1226
 
2.7%
주 1030
 
2.2%
스 979
 
2.1%
리 791
 
1.7%
품 739
 
1.6%
점 626
 
1.4%
장 514
 
1.1%
대 492
 
1.1%
원 469
 
1.0%
Other values (861) 37976
82.2%
Uppercase Letter
ValueCountFrequency (%)
B 71
 
8.8%
O 66
 
8.2%
S 66
 
8.2%
C 61
 
7.5%
G 51
 
6.3%
M 46
 
5.7%
E 44
 
5.4%
P 42
 
5.2%
N 35
 
4.3%
I 35
 
4.3%
Other values (16) 291
36.0%
Lowercase Letter
ValueCountFrequency (%)
e 100
13.2%
o 88
11.6%
a 83
10.9%
l 60
 
7.9%
n 53
 
7.0%
d 47
 
6.2%
i 41
 
5.4%
y 41
 
5.4%
t 33
 
4.3%
r 28
 
3.7%
Other values (13) 185
24.4%
Other Punctuation
ValueCountFrequency (%)
. 79
53.4%
& 29
 
19.6%
; 12
 
8.1%
/ 7
 
4.7%
? 4
 
2.7%
, 4
 
2.7%
？ 4
 
2.7%
' 4
 
2.7%
# 2
 
1.4%
! 1
 
0.7%
Other values (2) 2
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 107
27.7%
0 68
17.6%
1 61
15.8%
4 46
11.9%
8 28
 
7.3%
5 23
 
6.0%
7 20
 
5.2%
3 19
 
4.9%
9 9
 
2.3%
6 5
 
1.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
62.5%
Ⅱ 3
37.5%
Close Punctuation
ValueCountFrequency (%)
) 971
100.0%
Open Punctuation
ValueCountFrequency (%)
( 970
100.0%
Space Separator
ValueCountFrequency (%)
651
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46166
90.7%
Common 3138
 
6.2%
Latin 1575
 
3.1%
Han 19
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1348
 
2.9%
식 1226
 
2.7%
주 1030
 
2.2%
스 979
 
2.1%
리 791
 
1.7%
품 739
 
1.6%
점 626
 
1.4%
장 514
 
1.1%
대 492
 
1.1%
원 469
 
1.0%
Other values (845) 37952
82.2%
Latin
ValueCountFrequency (%)
e 100
 
6.3%
o 88
 
5.6%
a 83
 
5.3%
B 71
 
4.5%
O 66
 
4.2%
S 66
 
4.2%
C 61
 
3.9%
l 60
 
3.8%
n 53
 
3.4%
G 51
 
3.2%
Other values (41) 876
55.6%
Common
ValueCountFrequency (%)
) 971
30.9%
( 970
30.9%
651
20.7%
2 107
 
3.4%
. 79
 
2.5%
0 68
 
2.2%
1 61
 
1.9%
4 46
 
1.5%
& 29
 
0.9%
8 28
 
0.9%
Other values (18) 128
 
4.1%
Han
ValueCountFrequency (%)
侑 3
15.8%
辰 3
15.8%
家 2
10.5%
承 2
10.5%
株 2
10.5%
辛 2
10.5%
美 1
 
5.3%
包 1
 
5.3%
生 1
 
5.3%
日 1
 
5.3%
Hiragana
ValueCountFrequency (%)
ゆ 1
20.0%
の 1
20.0%
は 1
20.0%
な 1
20.0%
き 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46166
90.7%
ASCII 4699
 
9.2%
CJK 19
 
< 0.1%
Number Forms 8
 
< 0.1%
None 5
 
< 0.1%
Hiragana 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1348
 
2.9%
식 1226
 
2.7%
주 1030
 
2.2%
스 979
 
2.1%
리 791
 
1.7%
품 739
 
1.6%
점 626
 
1.4%
장 514
 
1.1%
대 492
 
1.1%
원 469
 
1.0%
Other values (845) 37952
82.2%
ASCII
ValueCountFrequency (%)
) 971
20.7%
( 970
20.6%
651
13.9%
2 107
 
2.3%
e 100
 
2.1%
o 88
 
1.9%
a 83
 
1.8%
. 79
 
1.7%
B 71
 
1.5%
0 68
 
1.4%
Other values (64) 1511
32.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
62.5%
Ⅱ 3
37.5%
None
ValueCountFrequency (%)
？ 4
80.0%
＃ 1
 
20.0%
CJK
ValueCountFrequency (%)
侑 3
15.8%
辰 3
15.8%
家 2
10.5%
承 2
10.5%
株 2
10.5%
辛 2
10.5%
美 1
 
5.3%
包 1
 
5.3%
生 1
 
5.3%
日 1
 
5.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Hiragana
ValueCountFrequency (%)
ゆ 1
20.0%
の 1
20.0%
は 1
20.0%
な 1
20.0%
き 1
20.0%

소재지도로명
Text

MISSING 

Distinct3920
Distinct (%)50.5%
Missing2237
Missing (%)22.4%
Memory size156.2 KiB
2024-05-18T10:39:07.380044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length56
Mean length32.067886
Min length23

Characters and Unicode

Total characters248943
Distinct characters334
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2526 ?
Unique (%)32.5%

Sample

1st row서울특별시 동대문구 안암로6길 19, 1층 (용두동)
2nd row서울특별시 동대문구 전농로 12, 2층 (답십리동)
3rd row서울특별시 동대문구 전농로 229, (전농동,지상1층)
4th row서울특별시 동대문구 왕산로 131, (제기동,외1필지(1층))
5th row서울특별시 동대문구 사가정로 148, 138동 501호 (전농동, 전농SK아파트 주상가동)
ValueCountFrequency (%)
서울특별시 7763
 
17.3%
동대문구 7763
 
17.3%
1층 1330
 
3.0%
제기동 1320
 
2.9%
장안동 1164
 
2.6%
이문동 511
 
1.1%
답십리동 510
 
1.1%
장한로 505
 
1.1%
이문로 479
 
1.1%
전농동 443
 
1.0%
Other values (2638) 22971
51.3%
2024-05-18T10:39:08.917030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37026
 
14.9%
동 16126
 
6.5%
, 11182
 
4.5%
1 10660
 
4.3%
) 9899
 
4.0%
( 9899
 
4.0%
문 9361
 
3.8%
대 9002
 
3.6%
시 8402
 
3.4%
로 8356
 
3.4%
Other values (324) 119030
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143253
57.5%
Space Separator 37026
 
14.9%
Decimal Number 35452
 
14.2%
Other Punctuation 11207
 
4.5%
Close Punctuation 9964
 
4.0%
Open Punctuation 9964
 
4.0%
Dash Punctuation 1690
 
0.7%
Math Symbol 220
 
0.1%
Uppercase Letter 121
 
< 0.1%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16126
 
11.3%
문 9361
 
6.5%
대 9002
 
6.3%
시 8402
 
5.9%
로 8356
 
5.8%
서 8043
 
5.6%
울 7884
 
5.5%
구 7783
 
5.4%
별 7770
 
5.4%
특 7763
 
5.4%
Other values (281) 52763
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 37
30.6%
A 26
21.5%
S 10
 
8.3%
K 6
 
5.0%
T 5
 
4.1%
C 5
 
4.1%
F 5
 
4.1%
N 5
 
4.1%
E 4
 
3.3%
W 4
 
3.3%
Other values (6) 14
 
11.6%
Decimal Number
ValueCountFrequency (%)
1 10660
30.1%
2 5780
16.3%
3 3517
 
9.9%
4 2937
 
8.3%
5 2586
 
7.3%
0 2388
 
6.7%
6 2063
 
5.8%
7 1939
 
5.5%
8 1834
 
5.2%
9 1748
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
x 12
26.1%
e 10
21.7%
t 6
13.0%
l 6
13.0%
s 6
13.0%
a 3
 
6.5%
w 3
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 11182
99.8%
. 21
 
0.2%
@ 4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9899
99.3%
] 65
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 9899
99.3%
[ 65
 
0.7%
Space Separator
ValueCountFrequency (%)
37026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1690
100.0%
Math Symbol
ValueCountFrequency (%)
~ 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143253
57.5%
Common 105523
42.4%
Latin 167
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16126
 
11.3%
문 9361
 
6.5%
대 9002
 
6.3%
시 8402
 
5.9%
로 8356
 
5.8%
서 8043
 
5.6%
울 7884
 
5.5%
구 7783
 
5.4%
별 7770
 
5.4%
특 7763
 
5.4%
Other values (281) 52763
36.8%
Latin
ValueCountFrequency (%)
B 37
22.2%
A 26
15.6%
x 12
 
7.2%
e 10
 
6.0%
S 10
 
6.0%
t 6
 
3.6%
l 6
 
3.6%
K 6
 
3.6%
s 6
 
3.6%
T 5
 
3.0%
Other values (13) 43
25.7%
Common
ValueCountFrequency (%)
37026
35.1%
, 11182
 
10.6%
1 10660
 
10.1%
) 9899
 
9.4%
( 9899
 
9.4%
2 5780
 
5.5%
3 3517
 
3.3%
4 2937
 
2.8%
5 2586
 
2.5%
0 2388
 
2.3%
Other values (10) 9649
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143253
57.5%
ASCII 105690
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37026
35.0%
, 11182
 
10.6%
1 10660
 
10.1%
) 9899
 
9.4%
( 9899
 
9.4%
2 5780
 
5.5%
3 3517
 
3.3%
4 2937
 
2.8%
5 2586
 
2.4%
0 2388
 
2.3%
Other values (33) 9816
 
9.3%
Hangul
ValueCountFrequency (%)
동 16126
 
11.3%
문 9361
 
6.5%
대 9002
 
6.3%
시 8402
 
5.9%
로 8356
 
5.8%
서 8043
 
5.6%
울 7884
 
5.5%
구 7783
 
5.4%
별 7770
 
5.4%
특 7763
 
5.4%
Other values (281) 52763
36.8%

소재지지번
Text

Distinct4817
Distinct (%)48.2%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-18T10:39:09.979791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length60
Mean length30.738295
Min length22

Characters and Unicode

Total characters307260
Distinct characters352
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3029 ?
Unique (%)30.3%

Sample

1st row서울특별시 동대문구 용두동 764번지 12호
2nd row서울특별시 동대문구 답십리동 496번지 2호
3rd row서울특별시 동대문구 답십리동 488번지 327호 2층
4th row서울특별시 동대문구 용두동 709번지 27호 (용일서길7-2)
5th row서울특별시 동대문구 전농동 103번지 293호 지상1층
ValueCountFrequency (%)
서울특별시 9996
 
17.5%
동대문구 9996
 
17.5%
제기동 2395
 
4.2%
장안동 2050
 
3.6%
전농동 954
 
1.7%
1호 947
 
1.7%
답십리동 915
 
1.6%
이문동 914
 
1.6%
1층 857
 
1.5%
용두동 699
 
1.2%
Other values (3054) 27371
47.9%
2024-05-18T10:39:11.252315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71946
23.4%
동 20455
 
6.7%
1 12211
 
4.0%
지 11175
 
3.6%
문 11119
 
3.6%
대 10330
 
3.4%
시 10328
 
3.4%
서 10126
 
3.3%
구 10031
 
3.3%
번 10016
 
3.3%
Other values (342) 129523
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170828
55.6%
Space Separator 71946
23.4%
Decimal Number 56342
 
18.3%
Open Punctuation 3338
 
1.1%
Close Punctuation 3338
 
1.1%
Dash Punctuation 691
 
0.2%
Other Punctuation 522
 
0.2%
Uppercase Letter 153
 
< 0.1%
Math Symbol 53
 
< 0.1%
Lowercase Letter 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20455
 
12.0%
지 11175
 
6.5%
문 11119
 
6.5%
대 10330
 
6.0%
시 10328
 
6.0%
서 10126
 
5.9%
구 10031
 
5.9%
번 10016
 
5.9%
울 10014
 
5.9%
별 10004
 
5.9%
Other values (295) 57230
33.5%
Uppercase Letter
ValueCountFrequency (%)
B 42
27.5%
A 41
26.8%
K 21
13.7%
S 21
13.7%
C 6
 
3.9%
F 5
 
3.3%
G 3
 
2.0%
D 3
 
2.0%
T 3
 
2.0%
P 2
 
1.3%
Other values (6) 6
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 12211
21.7%
2 7699
13.7%
3 6657
11.8%
4 5257
9.3%
5 4758
 
8.4%
0 4544
 
8.1%
6 4491
 
8.0%
7 3736
 
6.6%
9 3620
 
6.4%
8 3369
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
x 12
25.0%
e 10
20.8%
s 7
14.6%
t 6
12.5%
l 6
12.5%
a 3
 
6.2%
w 3
 
6.2%
k 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 486
93.1%
. 22
 
4.2%
@ 7
 
1.3%
/ 5
 
1.0%
: 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 3147
94.3%
[ 191
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 3147
94.3%
] 191
 
5.7%
Space Separator
ValueCountFrequency (%)
71946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Math Symbol
ValueCountFrequency (%)
~ 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170828
55.6%
Common 136231
44.3%
Latin 201
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20455
 
12.0%
지 11175
 
6.5%
문 11119
 
6.5%
대 10330
 
6.0%
시 10328
 
6.0%
서 10126
 
5.9%
구 10031
 
5.9%
번 10016
 
5.9%
울 10014
 
5.9%
별 10004
 
5.9%
Other values (295) 57230
33.5%
Latin
ValueCountFrequency (%)
B 42
20.9%
A 41
20.4%
K 21
10.4%
S 21
10.4%
x 12
 
6.0%
e 10
 
5.0%
s 7
 
3.5%
t 6
 
3.0%
C 6
 
3.0%
l 6
 
3.0%
Other values (14) 29
14.4%
Common
ValueCountFrequency (%)
71946
52.8%
1 12211
 
9.0%
2 7699
 
5.7%
3 6657
 
4.9%
4 5257
 
3.9%
5 4758
 
3.5%
0 4544
 
3.3%
6 4491
 
3.3%
7 3736
 
2.7%
9 3620
 
2.7%
Other values (13) 11312
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170828
55.6%
ASCII 136432
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71946
52.7%
1 12211
 
9.0%
2 7699
 
5.6%
3 6657
 
4.9%
4 5257
 
3.9%
5 4758
 
3.5%
0 4544
 
3.3%
6 4491
 
3.3%
7 3736
 
2.7%
9 3620
 
2.7%
Other values (37) 11513
 
8.4%
Hangul
ValueCountFrequency (%)
동 20455
 
12.0%
지 11175
 
6.5%
문 11119
 
6.5%
대 10330
 
6.0%
시 10328
 
6.0%
서 10126
 
5.9%
구 10031
 
5.9%
번 10016
 
5.9%
울 10014
 
5.9%
별 10004
 
5.9%
Other values (295) 57230
33.5%

지도점검일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3035
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118528
Minimum2002112
Maximum20240306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T10:39:11.826030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002112
5-th percentile20020323
Q120070121
median20120920
Q320171013
95-th percentile20211201
Maximum20240306
Range18238194
Interquartile range (IQR)100892

Descriptive statistics

Standard deviation191664.93
Coefficient of variation (CV)0.0095267867
Kurtosis7984.7364
Mean20118528
Median Absolute Deviation (MAD)50311
Skewness-84.474538
Sum2.0118528 × 1011
Variance3.6735444 × 1010
MonotonicityNot monotonic
2024-05-18T10:39:12.586652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170405 101
 
1.0%
20180417 95
 
0.9%
20181127 80
 
0.8%
20200102 72
 
0.7%
20061122 71
 
0.7%
20180710 70
 
0.7%
20150410 68
 
0.7%
20180427 55
 
0.5%
20180305 47
 
0.5%
20180220 46
 
0.5%
Other values (3025) 9295
93.0%
ValueCountFrequency (%)
2002112 1
 
< 0.1%
19991206 1
 
< 0.1%
20000125 1
 
< 0.1%
20000910 1
 
< 0.1%
20001118 2
< 0.1%
20001201 1
 
< 0.1%
20001208 1
 
< 0.1%
20001215 3
< 0.1%
20001230 1
 
< 0.1%
20010102 1
 
< 0.1%
ValueCountFrequency (%)
20240306 1
 
< 0.1%
20240304 5
0.1%
20240223 3
< 0.1%
20240206 2
 
< 0.1%
20240131 1
 
< 0.1%
20240129 3
< 0.1%
20240124 2
 
< 0.1%
20240119 1
 
< 0.1%
20240118 2
 
< 0.1%
20240115 2
 
< 0.1%

행정처분상태
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
처분확정 10000
100.0%

Length

2024-05-18T10:39:13.017935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:39:13.389026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처분확정 10000
100.0%

처분명
Text

Distinct1222
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T10:39:13.900891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length77
Mean length8.5318
Min length1

Characters and Unicode

Total characters85318
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique703 ?
Unique (%)7.0%

Sample

1st row과태료부과
2nd row개선명령
3rd row과태료부과 및 시정명령
4th row경고
5th row영업정지2월(2012.01.21~2012.03.20)
ValueCountFrequency (%)
영업소폐쇄 1755
 
12.4%
시정명령 1577
 
11.1%
영업정지 1394
 
9.8%
과태료부과 1289
 
9.1%
시설개수명령 417
 
2.9%
및 344
 
2.4%
과징금 279
 
2.0%
부과 276
 
1.9%
과징금부과 269
 
1.9%
갈음 239
 
1.7%
Other values (1285) 6354
44.8%
2024-05-18T10:39:15.201609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6337
 
7.4%
업 4459
 
5.2%
영 4387
 
5.1%
정 4347
 
5.1%
0 4205
 
4.9%
4200
 
4.9%
부 3035
 
3.6%
지 2659
 
3.1%
소 2623
 
3.1%
태 2412
 
2.8%
Other values (272) 46654
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62951
73.8%
Decimal Number 12419
 
14.6%
Space Separator 4200
 
4.9%
Open Punctuation 1833
 
2.1%
Other Punctuation 1803
 
2.1%
Close Punctuation 1757
 
2.1%
Math Symbol 191
 
0.2%
Dash Punctuation 149
 
0.2%
Letter Number 14
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (243) 27897
44.3%
Decimal Number
ValueCountFrequency (%)
0 4205
33.9%
2 2236
18.0%
1 2147
17.3%
5 756
 
6.1%
6 713
 
5.7%
4 652
 
5.3%
3 637
 
5.1%
8 465
 
3.7%
7 322
 
2.6%
9 286
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1132
62.8%
, 493
27.3%
% 140
 
7.8%
: 21
 
1.2%
/ 12
 
0.7%
* 2
 
0.1%
？ 2
 
0.1%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 183
95.8%
→ 5
 
2.6%
⇒ 3
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 1828
99.7%
[ 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1752
99.7%
] 5
 
0.3%
Space Separator
ValueCountFrequency (%)
4200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62951
73.8%
Common 22352
 
26.2%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (243) 27897
44.3%
Common
ValueCountFrequency (%)
0 4205
18.8%
4200
18.8%
2 2236
10.0%
1 2147
9.6%
( 1828
8.2%
) 1752
7.8%
. 1132
 
5.1%
5 756
 
3.4%
6 713
 
3.2%
4 652
 
2.9%
Other values (17) 2731
12.2%
Latin
ValueCountFrequency (%)
Ⅰ 14
93.3%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62904
73.7%
ASCII 22343
 
26.2%
Compat Jamo 47
 
0.1%
Number Forms 14
 
< 0.1%
Arrows 8
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (242) 27850
44.3%
ASCII
ValueCountFrequency (%)
0 4205
18.8%
4200
18.8%
2 2236
10.0%
1 2147
9.6%
( 1828
8.2%
) 1752
7.8%
. 1132
 
5.1%
5 756
 
3.4%
6 713
 
3.2%
4 652
 
2.9%
Other values (15) 2722
12.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 47
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 14
100.0%
Arrows
ValueCountFrequency (%)
→ 5
62.5%
⇒ 3
37.5%
None
ValueCountFrequency (%)
？ 2
100.0%

법적근거
Text

MISSING 

Distinct1098
Distinct (%)11.8%
Missing675
Missing (%)6.8%
Memory size156.2 KiB
2024-05-18T10:39:16.137068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length65
Mean length15.710563
Min length1

Characters and Unicode

Total characters146501
Distinct characters181
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique551 ?
Unique (%)5.9%

Sample

1st row법 제101조제4항1호
2nd row법 제101조제3항제5호
3rd row공중위생관리법 제17조 제1항
4th row식품위생법제44조
5th row법 제47조제1항제6호
ValueCountFrequency (%)
법 6725
21.4%
식품위생법 3839
 
12.2%
및 2189
 
7.0%
제75조 2186
 
6.9%
제71조 1535
 
4.9%
제37조 790
 
2.5%
시행규칙 662
 
2.1%
제31조 646
 
2.1%
제76조 625
 
2.0%
제101조제2항제1호 534
 
1.7%
Other values (776) 11737
37.3%
2024-05-18T10:39:17.641435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22781
15.6%
제 17589
12.0%
조 14106
 
9.6%
법 12643
 
8.6%
1 8586
 
5.9%
7 8241
 
5.6%
위 5061
 
3.5%
생 4960
 
3.4%
식 4758
 
3.2%
품 4749
 
3.2%
Other values (171) 43027
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82198
56.1%
Decimal Number 35829
24.5%
Space Separator 22781
 
15.6%
Other Punctuation 2808
 
1.9%
Dash Punctuation 1058
 
0.7%
Close Punctuation 784
 
0.5%
Open Punctuation 698
 
0.5%
Letter Number 336
 
0.2%
Other Number 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 17589
21.4%
조 14106
17.2%
법 12643
15.4%
위 5061
 
6.2%
생 4960
 
6.0%
식 4758
 
5.8%
품 4749
 
5.8%
항 3374
 
4.1%
및 2271
 
2.8%
호 1471
 
1.8%
Other values (139) 11216
13.6%
Decimal Number
ValueCountFrequency (%)
1 8586
24.0%
7 8241
23.0%
2 3983
11.1%
3 3869
10.8%
5 3291
 
9.2%
4 2621
 
7.3%
6 1945
 
5.4%
0 1445
 
4.0%
8 1132
 
3.2%
9 716
 
2.0%
Open Punctuation
ValueCountFrequency (%)
[ 437
62.6%
( 217
31.1%
【 28
 
4.0%
「 11
 
1.6%
［ 4
 
0.6%
〔 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 437
55.7%
) 303
38.6%
】 28
 
3.6%
」 11
 
1.4%
］ 4
 
0.5%
〕 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 2785
99.2%
. 17
 
0.6%
? 5
 
0.2%
？ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22781
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1058
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 336
100.0%
Other Number
ValueCountFrequency (%)
② 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82198
56.1%
Common 63963
43.7%
Latin 340
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 17589
21.4%
조 14106
17.2%
법 12643
15.4%
위 5061
 
6.2%
생 4960
 
6.0%
식 4758
 
5.8%
품 4749
 
5.8%
항 3374
 
4.1%
및 2271
 
2.8%
호 1471
 
1.8%
Other values (139) 11216
13.6%
Common
ValueCountFrequency (%)
22781
35.6%
1 8586
 
13.4%
7 8241
 
12.9%
2 3983
 
6.2%
3 3869
 
6.0%
5 3291
 
5.1%
, 2785
 
4.4%
4 2621
 
4.1%
6 1945
 
3.0%
0 1445
 
2.3%
Other values (19) 4416
 
6.9%
Latin
ValueCountFrequency (%)
Ⅱ 336
98.8%
i 2
 
0.6%
I 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82196
56.1%
ASCII 63873
43.6%
Number Forms 336
 
0.2%
None 89
 
0.1%
Enclosed Alphanum 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22781
35.7%
1 8586
 
13.4%
7 8241
 
12.9%
2 3983
 
6.2%
3 3869
 
6.1%
5 3291
 
5.2%
, 2785
 
4.4%
4 2621
 
4.1%
6 1945
 
3.0%
0 1445
 
2.3%
Other values (11) 4326
 
6.8%
Hangul
ValueCountFrequency (%)
제 17589
21.4%
조 14106
17.2%
법 12643
15.4%
위 5061
 
6.2%
생 4960
 
6.0%
식 4758
 
5.8%
품 4749
 
5.8%
항 3374
 
4.1%
및 2271
 
2.8%
호 1471
 
1.8%
Other values (137) 11214
13.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 336
100.0%
None
ValueCountFrequency (%)
【 28
31.5%
】 28
31.5%
」 11
 
12.4%
「 11
 
12.4%
［ 4
 
4.5%
］ 4
 
4.5%
〔 1
 
1.1%
？ 1
 
1.1%
〕 1
 
1.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
50.0%
ㅔ 1
50.0%

위반일자
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct3141
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116147
Minimum2004115
Maximum20240306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T10:39:18.114730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004115
5-th percentile20020323
Q120070111
median20120810
Q320170929
95-th percentile20211134
Maximum20240306
Range18236191
Interquartile range (IQR)100818.25

Descriptive statistics

Standard deviation263667.79
Coefficient of variation (CV)0.013107271
Kurtosis4453.3046
Mean20116147
Median Absolute Deviation (MAD)50317.5
Skewness-64.846281
Sum2.0116147 × 1011
Variance6.9520704 × 1010
MonotonicityNot monotonic
2024-05-18T10:39:18.642457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170405 101
 
1.0%
20190101 84
 
0.8%
20200102 77
 
0.8%
20230101 75
 
0.8%
20180220 72
 
0.7%
20061122 71
 
0.7%
20180710 70
 
0.7%
20150410 67
 
0.7%
20180427 50
 
0.5%
20180417 46
 
0.5%
Other values (3131) 9287
92.9%
ValueCountFrequency (%)
2004115 2
< 0.1%
19960629 1
< 0.1%
19961230 1
< 0.1%
19971130 1
< 0.1%
19971231 1
< 0.1%
19991206 1
< 0.1%
20000125 1
< 0.1%
20000910 1
< 0.1%
20001118 2
< 0.1%
20001201 1
< 0.1%
ValueCountFrequency (%)
20240306 1
 
< 0.1%
20240304 4
< 0.1%
20240229 1
 
< 0.1%
20240223 1
 
< 0.1%
20240221 2
< 0.1%
20240206 1
 
< 0.1%
20240129 4
< 0.1%
20240119 1
 
< 0.1%
20240118 2
< 0.1%
20240115 2
< 0.1%

위반내용
Text

Distinct3493
Distinct (%)35.0%
Missing34
Missing (%)0.3%
Memory size156.2 KiB
2024-05-18T10:39:19.709611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length544
Median length255
Mean length21.881497
Min length1

Characters and Unicode

Total characters218071
Distinct characters856
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2160 ?
Unique (%)21.7%

Sample

1st row2022년 식품위생교육 미이수(기존영업자)
2nd row칸막이설치
3rd row영업신고증 미비치
4th row위생교육 미이수(2007년)
5th row청소년 주류제공행위
ValueCountFrequency (%)
및 689
 
1.6%
668
 
1.5%
위생교육 606
 
1.4%
사업자등록 438
 
1.0%
미이수 424
 
1.0%
영업 373
 
0.9%
미필 354
 
0.8%
폐업 326
 
0.7%
청소년 322
 
0.7%
영업시설물 307
 
0.7%
Other values (6316) 38987
89.6%
2024-05-18T10:39:21.405315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34796
 
16.0%
업 6716
 
3.1%
2 3927
 
1.8%
미 3628
 
1.7%
1 3620
 
1.7%
. 3428
 
1.6%
0 3363
 
1.5%
영 3294
 
1.5%
시 3274
 
1.5%
기 3156
 
1.4%
Other values (846) 148869
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152022
69.7%
Space Separator 34796
 
16.0%
Decimal Number 15942
 
7.3%
Other Punctuation 6714
 
3.1%
Close Punctuation 3228
 
1.5%
Open Punctuation 3132
 
1.4%
Lowercase Letter 1185
 
0.5%
Dash Punctuation 479
 
0.2%
Math Symbol 165
 
0.1%
Uppercase Letter 137
 
0.1%
Other values (7) 271
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 6716
 
4.4%
미 3628
 
2.4%
영 3294
 
2.2%
시 3274
 
2.2%
기 3156
 
2.1%
제 2677
 
1.8%
품 2617
 
1.7%
이 2607
 
1.7%
위 2560
 
1.7%
자 2425
 
1.6%
Other values (751) 119068
78.3%
Lowercase Letter
ValueCountFrequency (%)
g 390
32.9%
m 196
16.5%
k 191
16.1%
c 50
 
4.2%
o 48
 
4.1%
w 39
 
3.3%
h 31
 
2.6%
t 31
 
2.6%
e 29
 
2.4%
n 28
 
2.4%
Other values (15) 152
 
12.8%
Uppercase Letter
ValueCountFrequency (%)
C 25
18.2%
P 13
9.5%
O 13
9.5%
M 11
 
8.0%
S 11
 
8.0%
K 9
 
6.6%
U 8
 
5.8%
V 6
 
4.4%
A 6
 
4.4%
T 5
 
3.6%
Other values (12) 30
21.9%
Other Punctuation
ValueCountFrequency (%)
. 3428
51.1%
, 1503
22.4%
/ 748
 
11.1%
: 728
 
10.8%
? 111
 
1.7%
* 80
 
1.2%
% 73
 
1.1%
？ 20
 
0.3%
! 9
 
0.1%
※ 7
 
0.1%
Other values (3) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 3927
24.6%
1 3620
22.7%
0 3363
21.1%
3 1025
 
6.4%
6 874
 
5.5%
5 713
 
4.5%
4 665
 
4.2%
8 612
 
3.8%
7 605
 
3.8%
9 538
 
3.4%
Other Symbol
ValueCountFrequency (%)
℃ 33
61.1%
○ 16
29.6%
㎖ 2
 
3.7%
㎡ 2
 
3.7%
★ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 3143
97.4%
] 76
 
2.4%
」 9
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 3046
97.3%
[ 77
 
2.5%
「 9
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 114
69.1%
= 47
28.5%
→ 4
 
2.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 80
96.4%
“ 3
 
3.6%
Final Punctuation
ValueCountFrequency (%)
’ 69
95.8%
” 3
 
4.2%
Other Number
ValueCountFrequency (%)
② 3
50.0%
① 3
50.0%
Space Separator
ValueCountFrequency (%)
34796
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 54
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152001
69.7%
Common 64673
29.7%
Latin 1376
 
0.6%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 6716
 
4.4%
미 3628
 
2.4%
영 3294
 
2.2%
시 3274
 
2.2%
기 3156
 
2.1%
제 2677
 
1.8%
품 2617
 
1.7%
이 2607
 
1.7%
위 2560
 
1.7%
자 2425
 
1.6%
Other values (747) 119047
78.3%
Latin
ValueCountFrequency (%)
g 390
28.3%
m 196
14.2%
k 191
13.9%
Ⅰ 54
 
3.9%
c 50
 
3.6%
o 48
 
3.5%
w 39
 
2.8%
h 31
 
2.3%
t 31
 
2.3%
e 29
 
2.1%
Other values (38) 317
23.0%
Common
ValueCountFrequency (%)
34796
53.8%
2 3927
 
6.1%
1 3620
 
5.6%
. 3428
 
5.3%
0 3363
 
5.2%
) 3143
 
4.9%
( 3046
 
4.7%
, 1503
 
2.3%
3 1025
 
1.6%
6 874
 
1.4%
Other values (37) 5948
 
9.2%
Han
ValueCountFrequency (%)
無 9
42.9%
字 5
23.8%
大 4
19.0%
小 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151990
69.7%
ASCII 65727
30.1%
Punctuation 166
 
0.1%
Number Forms 54
 
< 0.1%
None 38
 
< 0.1%
Letterlike Symbols 33
 
< 0.1%
CJK 21
 
< 0.1%
Geometric Shapes 16
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Enclosed Alphanum 6
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34796
52.9%
2 3927
 
6.0%
1 3620
 
5.5%
. 3428
 
5.2%
0 3363
 
5.1%
) 3143
 
4.8%
( 3046
 
4.6%
, 1503
 
2.3%
3 1025
 
1.6%
6 874
 
1.3%
Other values (67) 7002
 
10.7%
Hangul
ValueCountFrequency (%)
업 6716
 
4.4%
미 3628
 
2.4%
영 3294
 
2.2%
시 3274
 
2.2%
기 3156
 
2.1%
제 2677
 
1.8%
품 2617
 
1.7%
이 2607
 
1.7%
위 2560
 
1.7%
자 2425
 
1.6%
Other values (743) 119036
78.3%
Punctuation
ValueCountFrequency (%)
‘ 80
48.2%
’ 69
41.6%
※ 7
 
4.2%
″ 4
 
2.4%
” 3
 
1.8%
“ 3
 
1.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 54
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 33
100.0%
None
ValueCountFrequency (%)
？ 20
52.6%
」 9
23.7%
「 9
23.7%
Geometric Shapes
ValueCountFrequency (%)
○ 16
100.0%
CJK
ValueCountFrequency (%)
無 9
42.9%
字 5
23.8%
大 4
19.0%
小 3
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
72.7%
ㅏ 1
 
9.1%
ㄹ 1
 
9.1%
ㅇ 1
 
9.1%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
50.0%
① 3
50.0%
CJK Compat
ValueCountFrequency (%)
㎖ 2
50.0%
㎡ 2
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

처분내용
Text

Distinct1222
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T10:39:22.192061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length77
Mean length8.5318
Min length1

Characters and Unicode

Total characters85318
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique703 ?
Unique (%)7.0%

Sample

1st row과태료부과
2nd row개선명령
3rd row과태료부과 및 시정명령
4th row경고
5th row영업정지2월(2012.01.21~2012.03.20)
ValueCountFrequency (%)
영업소폐쇄 1755
 
12.4%
시정명령 1577
 
11.1%
영업정지 1394
 
9.8%
과태료부과 1289
 
9.1%
시설개수명령 417
 
2.9%
및 344
 
2.4%
과징금 279
 
2.0%
부과 276
 
1.9%
과징금부과 269
 
1.9%
갈음 239
 
1.7%
Other values (1285) 6354
44.8%
2024-05-18T10:39:23.931937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6337
 
7.4%
업 4459
 
5.2%
영 4387
 
5.1%
정 4347
 
5.1%
0 4205
 
4.9%
4200
 
4.9%
부 3035
 
3.6%
지 2659
 
3.1%
소 2623
 
3.1%
태 2412
 
2.8%
Other values (272) 46654
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62951
73.8%
Decimal Number 12419
 
14.6%
Space Separator 4200
 
4.9%
Open Punctuation 1833
 
2.1%
Other Punctuation 1803
 
2.1%
Close Punctuation 1757
 
2.1%
Math Symbol 191
 
0.2%
Dash Punctuation 149
 
0.2%
Letter Number 14
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (243) 27897
44.3%
Decimal Number
ValueCountFrequency (%)
0 4205
33.9%
2 2236
18.0%
1 2147
17.3%
5 756
 
6.1%
6 713
 
5.7%
4 652
 
5.3%
3 637
 
5.1%
8 465
 
3.7%
7 322
 
2.6%
9 286
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1132
62.8%
, 493
27.3%
% 140
 
7.8%
: 21
 
1.2%
/ 12
 
0.7%
* 2
 
0.1%
？ 2
 
0.1%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 183
95.8%
→ 5
 
2.6%
⇒ 3
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 1828
99.7%
[ 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1752
99.7%
] 5
 
0.3%
Space Separator
ValueCountFrequency (%)
4200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62951
73.8%
Common 22352
 
26.2%
Latin 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (243) 27897
44.3%
Common
ValueCountFrequency (%)
0 4205
18.8%
4200
18.8%
2 2236
10.0%
1 2147
9.6%
( 1828
8.2%
) 1752
7.8%
. 1132
 
5.1%
5 756
 
3.4%
6 713
 
3.2%
4 652
 
2.9%
Other values (17) 2731
12.2%
Latin
ValueCountFrequency (%)
Ⅰ 14
93.3%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62904
73.7%
ASCII 22343
 
26.2%
Compat Jamo 47
 
0.1%
Number Forms 14
 
< 0.1%
Arrows 8
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6337
 
10.1%
업 4459
 
7.1%
영 4387
 
7.0%
정 4347
 
6.9%
부 3035
 
4.8%
지 2659
 
4.2%
소 2623
 
4.2%
태 2412
 
3.8%
료 2402
 
3.8%
원 2393
 
3.8%
Other values (242) 27850
44.3%
ASCII
ValueCountFrequency (%)
0 4205
18.8%
4200
18.8%
2 2236
10.0%
1 2147
9.6%
( 1828
8.2%
) 1752
7.8%
. 1132
 
5.1%
5 756
 
3.4%
6 713
 
3.2%
4 652
 
2.9%
Other values (15) 2722
12.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 47
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 14
100.0%
Arrows
ValueCountFrequency (%)
→ 5
62.5%
⇒ 3
37.5%
None
ValueCountFrequency (%)
？ 2
100.0%

처분기간
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)2.0%
Missing8525
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean12.029831
Minimum0
Maximum40
Zeros62
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T10:39:24.457752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median15
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8923338
Coefficient of variation (CV)0.48981021
Kurtosis0.14844419
Mean12.029831
Median Absolute Deviation (MAD)2
Skewness-0.052280846
Sum17744
Variance34.719598
MonotonicityNot monotonic
2024-05-18T10:39:25.271510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15 689
 
6.9%
7 230
 
2.3%
5 100
 
1.0%
10 68
 
0.7%
3 63
 
0.6%
17 62
 
0.6%
0 62
 
0.6%
20 36
 
0.4%
18 25
 
0.2%
25 23
 
0.2%
Other values (19) 117
 
1.2%
(Missing) 8525
85.2%
ValueCountFrequency (%)
0 62
 
0.6%
1 6
 
0.1%
2 18
 
0.2%
3 63
 
0.6%
5 100
1.0%
6 6
 
0.1%
7 230
2.3%
8 5
 
0.1%
9 18
 
0.2%
10 68
 
0.7%
ValueCountFrequency (%)
40 1
 
< 0.1%
30 4
 
< 0.1%
29 2
 
< 0.1%
28 5
 
0.1%
27 8
 
0.1%
26 2
 
< 0.1%
25 23
0.2%
24 5
 
0.1%
23 9
 
0.1%
22 4
 
< 0.1%

영업장면적(㎡)
Real number (ℝ)

MISSING 

Distinct2030
Distinct (%)38.3%
Missing4700
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean131.34731
Minimum0
Maximum11588.98
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T10:39:25.847407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.1785
Q126.4
median62.08
Q3120.79
95-th percentile427.2575
Maximum11588.98
Range11588.98
Interquartile range (IQR)94.39

Descriptive statistics

Standard deviation350.32084
Coefficient of variation (CV)2.6671338
Kurtosis344.95495
Mean131.34731
Median Absolute Deviation (MAD)39.71
Skewness14.301723
Sum696140.73
Variance122724.69
MonotonicityNot monotonic
2024-05-18T10:39:26.441114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 59
 
0.6%
16.5 50
 
0.5%
33.0 48
 
0.5%
26.4 40
 
0.4%
100.0 36
 
0.4%
25.0 36
 
0.4%
16.0 36
 
0.4%
49.5 33
 
0.3%
10.0 33
 
0.3%
15.0 33
 
0.3%
Other values (2020) 4896
49.0%
(Missing) 4700
47.0%
ValueCountFrequency (%)
0.0 18
0.2%
0.7 1
 
< 0.1%
1.5 1
 
< 0.1%
3.3 9
0.1%
3.6 1
 
< 0.1%
3.64 1
 
< 0.1%
4.0 3
 
< 0.1%
4.95 1
 
< 0.1%
4.97 1
 
< 0.1%
5.0 5
 
0.1%
ValueCountFrequency (%)
11588.98 1
 
< 0.1%
9499.34 1
 
< 0.1%
4472.71 2
< 0.1%
4183.38 2
< 0.1%
3335.51 1
 
< 0.1%
3300.0 2
< 0.1%
3215.3 4
< 0.1%
3159.33 1
 
< 0.1%
3072.18 4
< 0.1%
3006.0 1
 
< 0.1%

Interactions

2024-05-18T10:38:53.726842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:47.246904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:48.958039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:50.733262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:52.300385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:54.015074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:47.588255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:49.373419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:51.012455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:52.576475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:54.309619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:47.909683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:49.794787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:51.303966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:52.883348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:54.632076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:48.214739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:50.129040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:51.579302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:53.175749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:54.941081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:48.595616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:50.444639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:52.013597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:38:53.471769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:39:26.884241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자업종명업태명지도점검일자위반일자처분기간영업장면적(㎡)
처분일자1.0000.4500.561NaNNaN0.4060.066
업종명0.4501.0000.998NaNNaN0.5320.662
업태명0.5610.9981.000NaNNaN0.6050.860
지도점검일자NaNNaNNaN1.000NaNNaNNaN
위반일자NaNNaNNaNNaN1.000NaNNaN
처분기간0.4060.5320.605NaNNaN1.0000.000
영업장면적(㎡)0.0660.6620.860NaNNaN0.0001.000
2024-05-18T10:39:27.387085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분일자지도점검일자위반일자처분기간영업장면적(㎡)업종명
처분일자1.0000.9990.994-0.197-0.1210.174
지도점검일자0.9991.0000.994-0.199-0.1240.000
위반일자0.9940.9941.000-0.197-0.1200.027
처분기간-0.197-0.199-0.1971.0000.1290.225
영업장면적(㎡)-0.121-0.124-0.1200.1291.0000.362
업종명0.1740.0000.0270.2250.3621.000

Missing values

2024-05-18T10:38:55.399894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:38:56.170092image/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.
2024-05-18T10:38:56.931770image/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(㎡)
947830500002023091120190042129휴게음식점커피숍동네책방서울특별시 동대문구 안암로6길 19, 1층 (용두동)서울특별시 동대문구 용두동 764번지 12호20230830처분확정과태료부과법 제101조제4항1호202301012022년 식품위생교육 미이수(기존영업자)과태료부과<NA><NA>
41530500002002072902300430100140이용업일반이용업보성<NA>서울특별시 동대문구 답십리동 496번지 2호20020629처분확정개선명령<NA>20020409칸막이설치개선명령<NA>33.0
683130500002018041820130042206일반음식점한식팡팡서울특별시 동대문구 전농로 12, 2층 (답십리동)서울특별시 동대문구 답십리동 488번지 327호 2층20180405처분확정과태료부과 및 시정명령법 제101조제3항제5호20180405영업신고증 미비치과태료부과 및 시정명령<NA><NA>
23050000200803170012숙박업(일반)여관업우정<NA>서울특별시 동대문구 용두동 709번지 27호 (용일서길7-2)20080107처분확정경고공중위생관리법 제17조 제1항20080101위생교육 미이수(2007년)경고<NA>172.0
636230500002012011020090042877일반음식점호프/통닭파전마을서울특별시 동대문구 전농로 229, (전농동,지상1층)서울특별시 동대문구 전농동 103번지 293호 지상1층20111205처분확정영업정지2월(2012.01.21~2012.03.20)식품위생법제44조20111205청소년 주류제공행위영업정지2월(2012.01.21~2012.03.20)0<NA>
1380130500002019110420040042703건강기능식품일반판매업영업장판매양제건강마트서울특별시 동대문구 왕산로 131, (제기동,외1필지(1층))서울특별시 동대문구 제기동 1051번지 1호 외1필지(1층)20190729처분확정과태료 160,000원 부과법 제47조제1항제6호20190101법정교육 미이수과태료 160,000원 부과<NA><NA>
3163050000202305220065목욕장업공동탕업백두산옥사우나서울특별시 동대문구 사가정로 148, 138동 501호 (전농동, 전농SK아파트 주상가동)서울특별시 동대문구 전농동 10번지 138 전농SK아파트 주상가동-50120230411처분확정개선명령법 제11조제1항제4호20230425순환여과기 사용 욕조수 수질검사 결과 레지오넬라균 1,000 CFU 초과 검출개선명령<NA>1155.0
648430500002013012120100042894일반음식점한식옛골한우촌서울특별시 동대문구 왕산로 25, (신설동)서울특별시 동대문구 신설동 89번지 79호20121213처분확정영업소폐쇄식품위생법 제36조(시설기준) 및 제37조(영업허가 등)식품위생법 제75조(허가취소등)20121213영업시설물 전부 멸실영업소폐쇄<NA>193.31
191130500002001081619950042997일반음식점한식약속<NA>서울특별시 동대문구 답십리동 473번지 38호20010716처분확정영업정지2월<NA>20010716풍기문란영업정지2월<NA><NA>
1442330500002021101320190042711건강기능식품일반판매업영업장판매(주)락미서울특별시 동대문구 정릉천동로 154, 1층 (제기동)서울특별시 동대문구 제기동 859번지 30호20210916처분확정시정명령법 제32조20210916의약품의 용도로만 사용되는 원료(실데나필과 타나라필)를 사용한 건강기능식품을 판매함시정명령<NA><NA>
시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)
1054330500002009102020070042513식품제조가공업식품제조가공업서울상회<NA>서울특별시 동대문구 제기동 895번지 14호 (경동시장8길13)20090921처분확정품목제조정지 1월법 제31조 및 제76조20090921자가품질검사 전항목 미실시(다예참기름)품목제조정지 1월<NA><NA>
934230500002020070820130042325휴게음식점커피숍까페꽁벨렝서울특별시 동대문구 이문로 92, 1층 (이문동)서울특별시 동대문구 이문동 326번지 5호 1층20200102처분확정과태료부과법 제101조제2항제1호202001022019년 기존영업자 위생교육 미필과태료부과<NA><NA>
617030500002017080820080042465일반음식점호프/통닭이화포장마차서울특별시 동대문구 약령시로15길 20, 1층 (제기동)서울특별시 동대문구 제기동 341번지20170715처분확정시정명령법 제71조 및 법 제75조20170715최종지불가격 미게시시정명령<NA>19.93
1061530500002018122620090042600식품제조가공업식품제조가공업주식회사흥일당한방마켓서울특별시 동대문구 정릉천동로 137, 2층 (제기동)서울특별시 동대문구 제기동 1172번지 2층20181203처분확정시정명령법 제71조, 법 제72조, 법 제75조 및 법 제76조20181203마테가루 제품 금속성이물 기준초과 검출(25.3mg/kg)시정명령<NA><NA>
572830500002020030620060042508일반음식점한식뚝배기감자탕서울특별시 동대문구 회기로21길 18, 1층 (회기동)서울특별시 동대문구 회기동 12번지 1호 1층20191229처분확정영업정지법 제75조2019122919. 12. 29. 22:00경 청소년에게 주류를 판매함.영업정지2842.98
610430500002017071920080042190일반음식점호프/통닭황진이 호프서울특별시 동대문구 왕산로32길 59, 1층 (용두동)서울특별시 동대문구 용두동 39번지 397호 1층20170615처분확정영업정지법 제71조 및 법 제75조20170615일반음식점에서 주류만을 판매하거나 주로 다류를 조리판매영업정지15<NA>
158930500002010041319930042521일반음식점정종/대포집/소주방서빈<NA>서울특별시 동대문구 이문동 255번지 380호 (이문로195)20100401처분확정시정명령식품위생법 제44조20100401간판에 업종 미표시시정명령<NA>16.43
1088530500002020123020150042798식품제조가공업기타 식품제조가공업건강플러스서울특별시 동대문구 약령서길 115-16, (제기동, 1층,2층일부)서울특별시 동대문구 제기동 892번지 127호20201203처분확정시정명령법 제71조, 법 제72조, 법 제75조 및 법 제76조20201203노니환 제품 금속성이물기준 초과(31.6mg/kg)시정명령<NA>119.4
1066730500002016092620100043320식품제조가공업식품제조가공업장명식품서울특별시 동대문구 고산자로42길 13-2, 2층 (제기동, 외 1필지 )서울특별시 동대문구 제기동 895번지 11호 외 1필지 2층20160722처분확정품목제조정지7일법 제71조, 법 제72조,법 제75조 및 법 제76조20160722금속성이물 기준치 초과(모링가잎가루, 모링가잎환)품목제조정지7일7104.0
1298630500002011032320010042771식품등 수입판매업식품등 수입판매업(주)복성무역<NA>서울특별시 동대문구 제기동 860번지 3호 한영빌딩 2층 2호20110221처분확정영업소폐쇄식품위생법 제36조20110221영업시설물 철거영업소폐쇄<NA><NA>

Duplicate rows

Most frequently occurring

시군구코드처분일자교부번호업종명업태명업소명소재지도로명소재지지번지도점검일자행정처분상태처분명법적근거위반일자위반내용처분내용처분기간영업장면적(㎡)# duplicates
48830500002021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정영업정지법 제71조, 법 제75조 및 법 제76조20210329즉석섭취식품 자가품질검사 전항목 미실시(제품명 모닝샐러드 등 15개 품목)영업정지5<NA>8
48930500002021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정품목제조정지법 제71조 및 법 제75조20210329원료수불부 미작성품목제조정지25<NA>7
15230500002007012419970042031식품제조가공업식품제조가공업커피나라<NA>서울특별시 동대문구 전농동 648번지 71호20061222처분확정과태료부과(200만원)식품위생법 제22조20060122품목제조보고 미보고. 유통기한표시 부적합, 제품명 표기 상이.과태료부과(200만원)<NA><NA>6
49030500002021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정품목제조정지법 제71조, 법 제75조 및 법 제76조20210329즉석섭취식품 자가품질검사 전항목 미실시(제품명 모닝샐러드 등 15개 품목)품목제조정지25<NA>6
15730500002007020519860042158식품제조가공업식품제조가공업승화식품<NA>서울특별시 동대문구 제기동 1022번지 0호 경동시장지하1층126호20061122처분확정영업정지 및 과징금1,000만원식품위생법 제3조20061122종사자 위생모 미착용영업정지 및 과징금1,000만원<NA><NA>5
31730500002014033120040043284식품등 수입판매업식품등 수입판매업동성무역서울특별시 동대문구 고산자로 502, 302호 (제기동, 샤론빌딩)서울특별시 동대문구 제기동 701번지 주부일련번-520140303처분확정과태료부과16만원식품위생법 제101조 및 같은법 시행령 제67조201403032013년도 기존 영업자 위생교육 미수료과태료부과16만원<NA><NA>5
43230500002018080320130042049식품소분업식품소분업천년약초서울특별시 동대문구 약령중앙로2길 5, 2층 202호 (제기동)서울특별시 동대문구 제기동 1129번지20180710처분확정과징금부과(영업정지법 제71조, 법 제72조, 법 제75조 및 법 제76조20180710안토시안이 풍부하여 염증세포 억제, 혈관건강, 눈건강에 좋고, 활성산소를 억제라고 제거 하는 등 건강기능식품으로 오인?혼동할 우려가 있는 내용 표시과징금부과(영업정지310.05
43530500002018080320130042049식품소분업식품소분업천년약초서울특별시 동대문구 약령중앙로2길 5, 2층 202호 (제기동)서울특별시 동대문구 제기동 1129번지20180710처분확정과징금부과(영업정지법 제71조, 법 제72조, 법 제75조 및 법 제76조20180710한천가루, 볶은미강가루, 민들레가루, 미강가루 외11개제품을 소분한후 표시사항 전부 미표시하여 업소창고에 진열과징금부과(영업정지36.65
43630500002018080320130042049식품소분업식품소분업천년약초서울특별시 동대문구 약령중앙로2길 5, 2층 202호 (제기동)서울특별시 동대문구 제기동 1129번지20180710처분확정과징금부과(영업정지법 제71조, 법 제72조, 법 제75조 및 법 제76조20180710한천가루, 볶은미강가루, 민들레가루, 미강가루 외11개제품을 소분한후 표시사항 전부 미표시하여 업소창고에 진열과징금부과(영업정지310.05
48730500002021043020050042442식품제조가공업식품제조가공업베이커리샌드서울특별시 동대문구 회기로8길 42, 2층 (청량리동)서울특별시 동대문구 청량리동 205번지 562호 2층20210329처분확정영업정지법 제71조 및 법 제75조20210329원료수불부 미작성영업정지5<NA>5