Overview

Dataset statistics

Number of variables8
Number of observations1662
Missing cells59
Missing cells (%)0.4%
Duplicate rows240
Duplicate rows (%)14.4%
Total size in memory104.0 KiB
Average record size in memory64.1 B

Variable types

Categorical2
DateTime2
Text4

Dataset

Description강원특별자치도 정선군 (업종명, 인허가일자, 업소명, 소재지(도로명), 소재지(지번), 영업자시작일, 업태명, 데이터기준일자 등)
URLhttps://www.data.go.kr/data/15090143/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 240 (14.4%) duplicate rowsDuplicates
업종명 is highly imbalanced (52.3%)Imbalance
소재지(도로명) has 56 (3.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:18:42.679266
Analysis finished2023-12-12 13:18:43.834260
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
일반음식점
1133 
휴게음식점
118 
즉석판매제조가공업
 
113
식품제조가공업
 
55
유통전문판매업
 
53
Other values (12)
190 

Length

Max length13
Median length5
Mean length5.6811071
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건강기능식품유통전문판매업
2nd row건강기능식품유통전문판매업
3rd row건강기능식품유통전문판매업
4th row건강기능식품일반판매업
5th row건강기능식품일반판매업

Common Values

ValueCountFrequency (%)
일반음식점 1133
68.2%
휴게음식점 118
 
7.1%
즉석판매제조가공업 113
 
6.8%
식품제조가공업 55
 
3.3%
유통전문판매업 53
 
3.2%
유흥주점영업 44
 
2.6%
건강기능식품일반판매업 34
 
2.0%
식품자동판매기영업 29
 
1.7%
집단급식소 21
 
1.3%
식품소분업 16
 
1.0%
Other values (7) 46
 
2.8%

Length

2023-12-12T22:18:43.942218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점 1133
67.8%
휴게음식점 118
 
7.1%
즉석판매제조가공업 113
 
6.8%
식품제조가공업 55
 
3.3%
유통전문판매업 53
 
3.2%
유흥주점영업 44
 
2.6%
건강기능식품일반판매업 34
 
2.0%
집단급식소 31
 
1.9%
식품자동판매기영업 29
 
1.7%
식품소분업 16
 
1.0%
Other values (7) 46
 
2.8%
Distinct1176
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
Minimum1964-01-15 00:00:00
Maximum2023-06-09 00:00:00
2023-12-12T22:18:44.100835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:18:44.614506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1341
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
2023-12-12T22:18:44.892960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length6.1931408
Min length1

Characters and Unicode

Total characters10293
Distinct characters634
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1057 ?
Unique (%)63.6%

Sample

1st row정선블루베리협동조합
2nd row푸른솔푸드 주식회사
3rd rowabmkorea생활용품 정선점
4th row세븐일레븐 정선민둥산역점
5th row올랑올랑
ValueCountFrequency (%)
주식회사 22
 
1.1%
정선점 19
 
0.9%
카페 15
 
0.7%
농업회사법인 14
 
0.7%
gs25 10
 
0.5%
식당 9
 
0.4%
직원식당 8
 
0.4%
세븐일레븐 7
 
0.3%
사북고한점 7
 
0.3%
페리카나치킨 7
 
0.3%
Other values (1497) 1944
94.3%
2023-12-12T22:18:45.299076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
401
 
3.9%
280
 
2.7%
242
 
2.4%
219
 
2.1%
203
 
2.0%
200
 
1.9%
197
 
1.9%
185
 
1.8%
135
 
1.3%
130
 
1.3%
Other values (624) 8101
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9339
90.7%
Space Separator 401
 
3.9%
Decimal Number 145
 
1.4%
Uppercase Letter 126
 
1.2%
Lowercase Letter 117
 
1.1%
Close Punctuation 69
 
0.7%
Open Punctuation 69
 
0.7%
Other Punctuation 23
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
280
 
3.0%
242
 
2.6%
219
 
2.3%
203
 
2.2%
200
 
2.1%
197
 
2.1%
185
 
2.0%
135
 
1.4%
130
 
1.4%
128
 
1.4%
Other values (561) 7420
79.5%
Uppercase Letter
ValueCountFrequency (%)
S 18
14.3%
G 17
13.5%
C 14
11.1%
U 10
 
7.9%
O 8
 
6.3%
B 7
 
5.6%
N 6
 
4.8%
E 5
 
4.0%
A 5
 
4.0%
I 4
 
3.2%
Other values (14) 32
25.4%
Lowercase Letter
ValueCountFrequency (%)
a 17
14.5%
e 16
13.7%
u 11
9.4%
c 10
 
8.5%
f 7
 
6.0%
r 7
 
6.0%
n 7
 
6.0%
s 6
 
5.1%
o 5
 
4.3%
t 4
 
3.4%
Other values (11) 27
23.1%
Decimal Number
ValueCountFrequency (%)
2 47
32.4%
5 22
15.2%
0 16
 
11.0%
1 15
 
10.3%
3 9
 
6.2%
8 9
 
6.2%
4 9
 
6.2%
9 8
 
5.5%
6 7
 
4.8%
7 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 15
65.2%
. 5
 
21.7%
' 2
 
8.7%
· 1
 
4.3%
Space Separator
ValueCountFrequency (%)
401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9334
90.7%
Common 711
 
6.9%
Latin 243
 
2.4%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
280
 
3.0%
242
 
2.6%
219
 
2.3%
203
 
2.2%
200
 
2.1%
197
 
2.1%
185
 
2.0%
135
 
1.4%
130
 
1.4%
128
 
1.4%
Other values (558) 7415
79.4%
Latin
ValueCountFrequency (%)
S 18
 
7.4%
a 17
 
7.0%
G 17
 
7.0%
e 16
 
6.6%
C 14
 
5.8%
u 11
 
4.5%
c 10
 
4.1%
U 10
 
4.1%
O 8
 
3.3%
f 7
 
2.9%
Other values (35) 115
47.3%
Common
ValueCountFrequency (%)
401
56.4%
) 69
 
9.7%
( 69
 
9.7%
2 47
 
6.6%
5 22
 
3.1%
0 16
 
2.3%
& 15
 
2.1%
1 15
 
2.1%
3 9
 
1.3%
8 9
 
1.3%
Other values (8) 39
 
5.5%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9334
90.7%
ASCII 953
 
9.3%
CJK 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
401
42.1%
) 69
 
7.2%
( 69
 
7.2%
2 47
 
4.9%
5 22
 
2.3%
S 18
 
1.9%
a 17
 
1.8%
G 17
 
1.8%
0 16
 
1.7%
e 16
 
1.7%
Other values (52) 261
27.4%
Hangul
ValueCountFrequency (%)
280
 
3.0%
242
 
2.6%
219
 
2.3%
203
 
2.2%
200
 
2.1%
197
 
2.1%
185
 
2.0%
135
 
1.4%
130
 
1.4%
128
 
1.4%
Other values (558) 7415
79.4%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct1179
Distinct (%)73.4%
Missing56
Missing (%)3.4%
Memory size13.1 KiB
2023-12-12T22:18:45.713277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length26.181818
Min length21

Characters and Unicode

Total characters42048
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique859 ?
Unique (%)53.5%

Sample

1st row강원특별자치도 정선군 고한읍 고한9길 26, 1층
2nd row강원특별자치도 정선군 신동읍 함백로 398
3rd row강원특별자치도 정선군 정선읍 봉양5길 26
4th row강원특별자치도 정선군 남면 무릉1로 119
5th row강원특별자치도 정선군 정선읍 봉양2길 17-10, 1층
ValueCountFrequency (%)
강원특별자치도 1606
18.3%
정선군 1606
18.3%
정선읍 465
 
5.3%
사북읍 298
 
3.4%
고한읍 270
 
3.1%
1층 247
 
2.8%
사북중앙로 137
 
1.6%
북평면 128
 
1.5%
임계면 125
 
1.4%
남면 108
 
1.2%
Other values (976) 3788
43.2%
2023-12-12T22:18:46.285053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7172
 
17.1%
2166
 
5.2%
2156
 
5.1%
1744
 
4.1%
1688
 
4.0%
1635
 
3.9%
1614
 
3.8%
1613
 
3.8%
1610
 
3.8%
1608
 
3.8%
Other values (251) 19042
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27911
66.4%
Space Separator 7172
 
17.1%
Decimal Number 5771
 
13.7%
Dash Punctuation 545
 
1.3%
Other Punctuation 493
 
1.2%
Close Punctuation 71
 
0.2%
Open Punctuation 71
 
0.2%
Uppercase Letter 10
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2166
 
7.8%
2156
 
7.7%
1744
 
6.2%
1688
 
6.0%
1635
 
5.9%
1614
 
5.8%
1613
 
5.8%
1610
 
5.8%
1608
 
5.8%
1606
 
5.8%
Other values (228) 10471
37.5%
Decimal Number
ValueCountFrequency (%)
1 1408
24.4%
2 874
15.1%
5 671
11.6%
3 665
11.5%
6 507
 
8.8%
4 413
 
7.2%
7 369
 
6.4%
8 316
 
5.5%
0 279
 
4.8%
9 269
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
D 4
40.0%
A 1
 
10.0%
V 1
 
10.0%
X 1
 
10.0%
K 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%
Space Separator
ValueCountFrequency (%)
7172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%
Other Punctuation
ValueCountFrequency (%)
, 493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27911
66.4%
Common 14127
33.6%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2166
 
7.8%
2156
 
7.7%
1744
 
6.2%
1688
 
6.0%
1635
 
5.9%
1614
 
5.8%
1613
 
5.8%
1610
 
5.8%
1608
 
5.8%
1606
 
5.8%
Other values (228) 10471
37.5%
Common
ValueCountFrequency (%)
7172
50.8%
1 1408
 
10.0%
2 874
 
6.2%
5 671
 
4.7%
3 665
 
4.7%
- 545
 
3.9%
6 507
 
3.6%
, 493
 
3.5%
4 413
 
2.9%
7 369
 
2.6%
Other values (6) 1010
 
7.1%
Latin
ValueCountFrequency (%)
D 4
40.0%
A 1
 
10.0%
V 1
 
10.0%
X 1
 
10.0%
K 1
 
10.0%
T 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27911
66.4%
ASCII 14137
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7172
50.7%
1 1408
 
10.0%
2 874
 
6.2%
5 671
 
4.7%
3 665
 
4.7%
- 545
 
3.9%
6 507
 
3.6%
, 493
 
3.5%
4 413
 
2.9%
7 369
 
2.6%
Other values (13) 1020
 
7.2%
Hangul
ValueCountFrequency (%)
2166
 
7.8%
2156
 
7.7%
1744
 
6.2%
1688
 
6.0%
1635
 
5.9%
1614
 
5.8%
1613
 
5.8%
1610
 
5.8%
1608
 
5.8%
1606
 
5.8%
Other values (228) 10471
37.5%
Distinct1081
Distinct (%)65.2%
Missing3
Missing (%)0.2%
Memory size13.1 KiB
2023-12-12T22:18:46.712273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length45
Mean length27.059675
Min length18

Characters and Unicode

Total characters44892
Distinct characters205
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique731 ?
Unique (%)44.1%

Sample

1st row강원특별자치도 정선군 신동읍 조동리 509
2nd row강원특별자치도 정선군 정선읍 봉양리 335-4
3rd row강원특별자치도 정선군 남면 무릉리 611-36
4th row강원특별자치도 정선군 정선읍 봉양리 189-1
5th row강원특별자치도 정선군 정선읍 봉양리 357-3
ValueCountFrequency (%)
강원특별자치도 1659
19.0%
정선군 1659
19.0%
정선읍 477
 
5.5%
봉양리 334
 
3.8%
사북읍 299
 
3.4%
고한읍 298
 
3.4%
고한리 295
 
3.4%
사북리 288
 
3.3%
북평면 129
 
1.5%
임계면 127
 
1.5%
Other values (1169) 3166
36.3%
2023-12-12T22:18:47.314521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8666
19.3%
2158
 
4.8%
2149
 
4.8%
1716
 
3.8%
1673
 
3.7%
1670
 
3.7%
1661
 
3.7%
1661
 
3.7%
1661
 
3.7%
1659
 
3.7%
Other values (195) 20218
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27578
61.4%
Space Separator 8666
 
19.3%
Decimal Number 7148
 
15.9%
Dash Punctuation 1428
 
3.2%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%
Other Punctuation 11
 
< 0.1%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2158
 
7.8%
2149
 
7.8%
1716
 
6.2%
1673
 
6.1%
1670
 
6.1%
1661
 
6.0%
1661
 
6.0%
1661
 
6.0%
1659
 
6.0%
1659
 
6.0%
Other values (174) 9911
35.9%
Decimal Number
ValueCountFrequency (%)
1 1157
16.2%
4 1046
14.6%
3 990
13.9%
2 869
12.2%
6 757
10.6%
7 556
7.8%
5 521
7.3%
9 449
 
6.3%
0 408
 
5.7%
8 395
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
F 4
44.4%
G 2
22.2%
T 1
 
11.1%
K 1
 
11.1%
X 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
8666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1428
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27578
61.4%
Common 17305
38.5%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2158
 
7.8%
2149
 
7.8%
1716
 
6.2%
1673
 
6.1%
1670
 
6.1%
1661
 
6.0%
1661
 
6.0%
1661
 
6.0%
1659
 
6.0%
1659
 
6.0%
Other values (174) 9911
35.9%
Common
ValueCountFrequency (%)
8666
50.1%
- 1428
 
8.3%
1 1157
 
6.7%
4 1046
 
6.0%
3 990
 
5.7%
2 869
 
5.0%
6 757
 
4.4%
7 556
 
3.2%
5 521
 
3.0%
9 449
 
2.6%
Other values (6) 866
 
5.0%
Latin
ValueCountFrequency (%)
F 4
44.4%
G 2
22.2%
T 1
 
11.1%
K 1
 
11.1%
X 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27578
61.4%
ASCII 17314
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8666
50.1%
- 1428
 
8.2%
1 1157
 
6.7%
4 1046
 
6.0%
3 990
 
5.7%
2 869
 
5.0%
6 757
 
4.4%
7 556
 
3.2%
5 521
 
3.0%
9 449
 
2.6%
Other values (11) 875
 
5.1%
Hangul
ValueCountFrequency (%)
2158
 
7.8%
2149
 
7.8%
1716
 
6.2%
1673
 
6.1%
1670
 
6.1%
1661
 
6.0%
1661
 
6.0%
1661
 
6.0%
1659
 
6.0%
1659
 
6.0%
Other values (174) 9911
35.9%
Distinct1062
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
Minimum1976-11-25 00:00:00
Maximum2023-06-09 00:00:00
2023-12-12T22:18:47.449958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:18:47.598892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct57
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
2023-12-12T22:18:47.808174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length2
Mean length3.9163658
Min length2

Characters and Unicode

Total characters6509
Distinct characters129
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

Unique9 ?
Unique (%)0.5%

Sample

1st row건강기능식품유통전문판매업
2nd row건강기능식품유통전문판매업
3rd row건강기능식품유통전문판매업
4th row영업장판매
5th row전자상거래(통신판매업)
ValueCountFrequency (%)
한식 677
39.2%
기타 208
 
12.0%
즉석판매제조가공업 113
 
6.5%
분식 58
 
3.4%
식품제조가공업 55
 
3.2%
유통전문판매업 53
 
3.1%
호프/통닭 42
 
2.4%
중국식 39
 
2.3%
통닭(치킨 38
 
2.2%
커피숍 35
 
2.0%
Other values (46) 411
23.8%
2023-12-12T22:18:48.152617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1022
 
15.7%
677
 
10.4%
349
 
5.4%
255
 
3.9%
253
 
3.9%
250
 
3.8%
215
 
3.3%
177
 
2.7%
174
 
2.7%
168
 
2.6%
Other values (119) 2969
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6180
94.9%
Close Punctuation 99
 
1.5%
Open Punctuation 99
 
1.5%
Space Separator 67
 
1.0%
Other Punctuation 64
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1022
 
16.5%
677
 
11.0%
349
 
5.6%
255
 
4.1%
253
 
4.1%
250
 
4.0%
215
 
3.5%
177
 
2.9%
174
 
2.8%
168
 
2.7%
Other values (115) 2640
42.7%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6180
94.9%
Common 329
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1022
 
16.5%
677
 
11.0%
349
 
5.6%
255
 
4.1%
253
 
4.1%
250
 
4.0%
215
 
3.5%
177
 
2.9%
174
 
2.8%
168
 
2.7%
Other values (115) 2640
42.7%
Common
ValueCountFrequency (%)
) 99
30.1%
( 99
30.1%
67
20.4%
/ 64
19.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6180
94.9%
ASCII 329
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1022
 
16.5%
677
 
11.0%
349
 
5.6%
255
 
4.1%
253
 
4.1%
250
 
4.0%
215
 
3.5%
177
 
2.9%
174
 
2.8%
168
 
2.7%
Other values (115) 2640
42.7%
ASCII
ValueCountFrequency (%)
) 99
30.1%
( 99
30.1%
67
20.4%
/ 64
19.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
2023-08-25
1662 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 1662
100.0%

Length

2023-12-12T22:18:48.302977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:48.419020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 1662
100.0%

Correlations

2023-12-12T22:18:48.491750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0001.000
업태명1.0001.000

Missing values

2023-12-12T22:18:43.511879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:18:43.659565image/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.
2023-12-12T22:18:43.776514image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명데이터기준일자
0건강기능식품유통전문판매업2016-08-24정선블루베리협동조합강원특별자치도 정선군 고한읍 고한9길 26, 1층<NA>2016-08-24건강기능식품유통전문판매업2023-08-25
1건강기능식품유통전문판매업2021-01-27푸른솔푸드 주식회사강원특별자치도 정선군 신동읍 함백로 398강원특별자치도 정선군 신동읍 조동리 5092021-01-27건강기능식품유통전문판매업2023-08-25
2건강기능식품유통전문판매업2022-07-21abmkorea생활용품 정선점강원특별자치도 정선군 정선읍 봉양5길 26강원특별자치도 정선군 정선읍 봉양리 335-42022-07-21건강기능식품유통전문판매업2023-08-25
3건강기능식품일반판매업2021-01-14세븐일레븐 정선민둥산역점강원특별자치도 정선군 남면 무릉1로 119강원특별자치도 정선군 남면 무릉리 611-362021-01-14영업장판매2023-08-25
4건강기능식품일반판매업2021-01-19올랑올랑강원특별자치도 정선군 정선읍 봉양2길 17-10, 1층강원특별자치도 정선군 정선읍 봉양리 189-12021-01-19전자상거래(통신판매업)2023-08-25
5건강기능식품일반판매업2021-02-16남양유업 정선가정대리점강원특별자치도 정선군 정선읍 봉양6길 16-33강원특별자치도 정선군 정선읍 봉양리 357-32021-02-16기타 건강기능식품일반판매업2023-08-25
6건강기능식품일반판매업2021-03-08주식회사 지앤이프강원특별자치도 정선군 화암면 약수길 1025강원특별자치도 정선군 화암면 화암리 12982021-03-08전자상거래(통신판매업)2023-08-25
7건강기능식품일반판매업2021-06-21예미농협하나로마트강원특별자치도 정선군 신동읍 예미1길 42강원특별자치도 정선군 신동읍 예미리 713-12023-05-09영업장판매2023-08-25
8건강기능식품일반판매업2021-06-30고미양품강원특별자치도 정선군 고한읍 고한6길 9-4강원특별자치도 정선군 고한읍 고한리 62-1252021-06-30영업장판매2023-08-25
9건강기능식품일반판매업2021-10-18메타버스상점강원특별자치도 정선군 신동읍 조동6길 17-17, 1층강원특별자치도 정선군 신동읍 조동리 195-92021-10-18영업장판매2023-08-25
업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명데이터기준일자
1652휴게음식점2013-07-24CU정선고한점강원특별자치도 정선군 고한읍 고한로 129강원특별자치도 정선군 고한읍 고한리 94-152013-07-24편의점2023-08-25
1653휴게음식점2013-08-08GS25사북산수빌점강원특별자치도 정선군 사북읍 소금강로 3535강원특별자치도 정선군 사북읍 사북리 452-462013-08-08편의점2023-08-25
1654휴게음식점2013-08-27아라리카페강원특별자치도 정선군 정선읍 봉양3길 21강원특별자치도 정선군 정선읍 봉양리 2672013-08-27기타 휴게음식점2023-08-25
1655휴게음식점2014-03-26세븐일레븐정선남면점강원특별자치도 정선군 남면 칠현로 64강원특별자치도 정선군 남면 문곡리 134-22014-03-26편의점2023-08-25
1656휴게음식점2016-04-12아라리촌 카페강원특별자치도 정선군 정선읍 애산로 37 (25동)강원특별자치도 정선군 정선읍 애산리 5602023-01-16커피숍2023-08-25
1657휴게음식점2020-07-28세븐일레븐 정선사북교차로점강원특별자치도 정선군 사북읍 사북1길 54강원특별자치도 정선군 사북읍 사북리 356-522020-07-28편의점2023-08-25
1658휴게음식점2021-06-01GS25 정선역점강원특별자치도 정선군 정선읍 녹송8길 67, 1층강원특별자치도 정선군 정선읍 애산리 415-252021-06-01편의점2023-08-25
1659휴게음식점2022-07-13양지다방강원특별자치도 정선군 임계면 백두대간로 1361-1, 2층강원특별자치도 정선군 임계면 송계리 759-52022-07-13다방2023-08-25
1660휴게음식점2022-07-18데니스커피(정선사북점)강원특별자치도 정선군 사북읍 사북중앙로 34-4강원특별자치도 정선군 사북읍 사북리 369-22022-07-18커피숍2023-08-25
1661휴게음식점2023-03-13비엣커피강원특별자치도 정선군 남면 강원남로 5197-207강원특별자치도 정선군 남면 문곡리 13-42023-03-13커피숍2023-08-25

Duplicate rows

Most frequently occurring

업종명인허가일자업소명소재지(도로명)소재지(지번)영업자시작일업태명데이터기준일자# duplicates
0일반음식점1968-03-13혜원가든강원특별자치도 정선군 사북읍 사북중앙로 18-1강원특별자치도 정선군 사북읍 366-672012-05-18한식2023-08-252
1일반음식점1969-01-28화양연화강원특별자치도 정선군 정선읍 녹송로 93, 1층강원특별자치도 정선군 정선읍 봉양리 46-602013-12-27기타2023-08-252
2일반음식점1970-06-14나드리김밥 정선점강원특별자치도 정선군 정선읍 정선로 1351-1강원특별자치도 정선군 정선읍 봉양리 339-122017-11-23김밥(도시락)2023-08-252
3일반음식점1971-06-16조랭이부대찌개&장칼국수강원특별자치도 정선군 사북읍 사북중앙로 36 ((1층))강원특별자치도 정선군 사북읍 사북리 369-16 (1층)2019-09-27한식2023-08-252
4일반음식점1971-12-28진미식당강원특별자치도 정선군 신동읍 조동7길 6강원특별자치도 정선군 신동읍 조동리 201-792014-11-26한식2023-08-252
5일반음식점1972-06-23동면집강원특별자치도 정선군 정선읍 5일장길 33-5강원특별자치도 정선군 정선읍 봉양리 344-42022-03-08한식2023-08-252
6일반음식점1973-06-02마카오강원특별자치도 정선군 정선읍 비봉로 57강원특별자치도 정선군 정선읍 봉양리 381 7통3반2019-12-06한식2023-08-252
7일반음식점1973-10-27제일식당강원특별자치도 정선군 임계면 서동로 4557강원특별자치도 정선군 임계면 송계리 0 6통2021-11-01중국식2023-08-252
8일반음식점1974-04-17청솔가든강원특별자치도 정선군 남면 칠현로 75강원특별자치도 정선군 남면 문곡리 104-3 1통2013-05-09한식2023-08-252
9일반음식점1976-06-30강원특별자치도 정선군 여량면 서동로 2927-1, 1층강원특별자치도 정선군 여량면 여량리 114-32022-12-21한식2023-08-252