Overview

Dataset statistics

Number of variables7
Number of observations165
Missing cells114
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description전라남도 영암군 관내에 위치한 휴게음식점 현황 데이터로 편의점과 카페같은 업소명, 주소, 전화번호 등의 항목을 제공합니다.
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15054272/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 2 (1.2%) missing valuesMissing
소재지(지번) has 2 (1.2%) missing valuesMissing
소재지전화 has 110 (66.7%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:21:12.143405
Analysis finished2024-04-21 01:21:13.819516
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-21T10:21:13.884098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2024-04-21T10:21:14.001956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
휴게음식점
165 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 165
100.0%

Length

2024-04-21T10:21:14.113302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:21:14.216421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 165
100.0%

업소명
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-21T10:21:14.407338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length8.2
Min length1

Characters and Unicode

Total characters1353
Distinct characters304
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)100.0%

Sample

1st row학휴게음식점
2nd row월출산장커피숍
3rd row쵸이스다방
4th row김밥이랑 커피
5th row드림편의휴게음식점
ValueCountFrequency (%)
세븐일레븐 19
 
7.5%
씨유 7
 
2.8%
영암삼호점 5
 
2.0%
카페 4
 
1.6%
지에스25 4
 
1.6%
영암점 3
 
1.2%
커피 3
 
1.2%
이마트24 3
 
1.2%
빽다방 2
 
0.8%
gs25 2
 
0.8%
Other values (195) 202
79.5%
2024-04-21T10:21:14.724384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
6.6%
점 72
 
5.3%
영 52
 
3.8%
암 51
 
3.8%
븐 38
 
2.8%
삼 33
 
2.4%
호 33
 
2.4%
일 25
 
1.8%
대 25
 
1.8%
세 22
 
1.6%
Other values (294) 913
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
81.3%
Space Separator 89
 
6.6%
Uppercase Letter 64
 
4.7%
Decimal Number 52
 
3.8%
Lowercase Letter 19
 
1.4%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 72
 
6.5%
영 52
 
4.7%
암 51
 
4.6%
븐 38
 
3.5%
삼 33
 
3.0%
호 33
 
3.0%
일 25
 
2.3%
대 25
 
2.3%
세 22
 
2.0%
페 21
 
1.9%
Other values (252) 728
66.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
17.2%
C 9
14.1%
G 9
14.1%
E 5
7.8%
O 4
 
6.2%
U 3
 
4.7%
P 3
 
4.7%
I 3
 
4.7%
B 3
 
4.7%
H 2
 
3.1%
Other values (9) 12
18.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
21.1%
a 3
15.8%
l 2
10.5%
c 2
10.5%
k 2
10.5%
h 1
 
5.3%
n 1
 
5.3%
i 1
 
5.3%
m 1
 
5.3%
f 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
5 16
30.8%
2 15
28.8%
3 6
 
11.5%
1 5
 
9.6%
4 3
 
5.8%
8 3
 
5.8%
0 2
 
3.8%
6 2
 
3.8%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1099
81.2%
Common 170
 
12.6%
Latin 83
 
6.1%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 72
 
6.6%
영 52
 
4.7%
암 51
 
4.6%
븐 38
 
3.5%
삼 33
 
3.0%
호 33
 
3.0%
일 25
 
2.3%
대 25
 
2.3%
세 22
 
2.0%
페 21
 
1.9%
Other values (251) 727
66.2%
Latin
ValueCountFrequency (%)
S 11
 
13.3%
C 9
 
10.8%
G 9
 
10.8%
E 5
 
6.0%
O 4
 
4.8%
e 4
 
4.8%
U 3
 
3.6%
P 3
 
3.6%
I 3
 
3.6%
B 3
 
3.6%
Other values (20) 29
34.9%
Common
ValueCountFrequency (%)
89
52.4%
5 16
 
9.4%
2 15
 
8.8%
( 14
 
8.2%
) 14
 
8.2%
3 6
 
3.5%
1 5
 
2.9%
4 3
 
1.8%
8 3
 
1.8%
0 2
 
1.2%
Other values (2) 3
 
1.8%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1099
81.2%
ASCII 253
 
18.7%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
35.2%
5 16
 
6.3%
2 15
 
5.9%
( 14
 
5.5%
) 14
 
5.5%
S 11
 
4.3%
C 9
 
3.6%
G 9
 
3.6%
3 6
 
2.4%
1 5
 
2.0%
Other values (32) 65
25.7%
Hangul
ValueCountFrequency (%)
점 72
 
6.6%
영 52
 
4.7%
암 51
 
4.6%
븐 38
 
3.5%
삼 33
 
3.0%
호 33
 
3.0%
일 25
 
2.3%
대 25
 
2.3%
세 22
 
2.0%
페 21
 
1.9%
Other values (251) 727
66.2%
CJK
ValueCountFrequency (%)
家 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct160
Distinct (%)98.2%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-04-21T10:21:14.940844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length26.079755
Min length18

Characters and Unicode

Total characters4251
Distinct characters186
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

Unique159 ?
Unique (%)97.5%

Sample

1st row전라남도 영암군 군서면 왕인로 502
2nd row전라남도 영암군 군서면 도갑사로 305
3rd row전라남도 영암군 영암읍 중앙로 25 ((2층))
4th row전라남도 영암군 학산면 독천로 233
5th row전라남도 영암군 영암읍 오리정길 2
ValueCountFrequency (%)
전라남도 163
17.1%
영암군 163
17.1%
삼호읍 96
 
10.1%
1층 40
 
4.2%
영암읍 23
 
2.4%
군서면 18
 
1.9%
삼호중앙로 12
 
1.3%
신항로 12
 
1.3%
대불주거로 12
 
1.3%
왕인로 11
 
1.2%
Other values (261) 403
42.3%
2024-04-21T10:21:15.283504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
790
18.6%
1 206
 
4.8%
암 199
 
4.7%
영 198
 
4.7%
군 182
 
4.3%
도 167
 
3.9%
라 165
 
3.9%
전 164
 
3.9%
남 164
 
3.9%
호 142
 
3.3%
Other values (176) 1874
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2622
61.7%
Space Separator 790
 
18.6%
Decimal Number 648
 
15.2%
Other Punctuation 75
 
1.8%
Dash Punctuation 40
 
0.9%
Open Punctuation 32
 
0.8%
Close Punctuation 32
 
0.8%
Uppercase Letter 8
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 199
 
7.6%
영 198
 
7.6%
군 182
 
6.9%
도 167
 
6.4%
라 165
 
6.3%
전 164
 
6.3%
남 164
 
6.3%
호 142
 
5.4%
로 138
 
5.3%
읍 120
 
4.6%
Other values (153) 983
37.5%
Decimal Number
ValueCountFrequency (%)
1 206
31.8%
2 99
15.3%
3 63
 
9.7%
0 59
 
9.1%
6 50
 
7.7%
5 44
 
6.8%
4 40
 
6.2%
7 39
 
6.0%
9 28
 
4.3%
8 20
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
G 1
 
12.5%
F 1
 
12.5%
C 1
 
12.5%
B 1
 
12.5%
P 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 74
98.7%
@ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2622
61.7%
Common 1621
38.1%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 199
 
7.6%
영 198
 
7.6%
군 182
 
6.9%
도 167
 
6.4%
라 165
 
6.3%
전 164
 
6.3%
남 164
 
6.3%
호 142
 
5.4%
로 138
 
5.3%
읍 120
 
4.6%
Other values (153) 983
37.5%
Common
ValueCountFrequency (%)
790
48.7%
1 206
 
12.7%
2 99
 
6.1%
, 74
 
4.6%
3 63
 
3.9%
0 59
 
3.6%
6 50
 
3.1%
5 44
 
2.7%
4 40
 
2.5%
- 40
 
2.5%
Other values (7) 156
 
9.6%
Latin
ValueCountFrequency (%)
S 3
37.5%
G 1
 
12.5%
F 1
 
12.5%
C 1
 
12.5%
B 1
 
12.5%
P 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2622
61.7%
ASCII 1629
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
790
48.5%
1 206
 
12.6%
2 99
 
6.1%
, 74
 
4.5%
3 63
 
3.9%
0 59
 
3.6%
6 50
 
3.1%
5 44
 
2.7%
4 40
 
2.5%
- 40
 
2.5%
Other values (13) 164
 
10.1%
Hangul
ValueCountFrequency (%)
암 199
 
7.6%
영 198
 
7.6%
군 182
 
6.9%
도 167
 
6.4%
라 165
 
6.3%
전 164
 
6.3%
남 164
 
6.3%
호 142
 
5.4%
로 138
 
5.3%
읍 120
 
4.6%
Other values (153) 983
37.5%

소재지(지번)
Text

MISSING 

Distinct151
Distinct (%)92.6%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-04-21T10:21:15.543736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length25.748466
Min length20

Characters and Unicode

Total characters4197
Distinct characters146
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

Unique144 ?
Unique (%)88.3%

Sample

1st row전라남도 영암군 군서면 동구림리 48-23
2nd row전라남도 영암군 군서면 도갑리 64
3rd row전라남도 영암군 영암읍 서남리 35-1 (2층)
4th row전라남도 영암군 학산면 독천리 42-8
5th row전라남도 영암군 영암읍 남풍리 167-3
ValueCountFrequency (%)
전라남도 163
18.2%
영암군 163
18.2%
삼호읍 97
 
10.8%
용앙리 52
 
5.8%
영암읍 23
 
2.6%
용당리 20
 
2.2%
군서면 17
 
1.9%
동구림리 11
 
1.2%
1층 8
 
0.9%
삼포리 8
 
0.9%
Other values (226) 336
37.4%
2024-04-21T10:21:15.929195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
21.3%
1 209
 
5.0%
암 193
 
4.6%
영 192
 
4.6%
군 180
 
4.3%
남 173
 
4.1%
전 167
 
4.0%
도 167
 
4.0%
리 165
 
3.9%
라 163
 
3.9%
Other values (136) 1692
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2400
57.2%
Space Separator 896
 
21.3%
Decimal Number 741
 
17.7%
Dash Punctuation 131
 
3.1%
Close Punctuation 9
 
0.2%
Open Punctuation 9
 
0.2%
Uppercase Letter 5
 
0.1%
Other Punctuation 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 193
 
8.0%
영 192
 
8.0%
군 180
 
7.5%
남 173
 
7.2%
전 167
 
7.0%
도 167
 
7.0%
리 165
 
6.9%
라 163
 
6.8%
호 121
 
5.0%
읍 120
 
5.0%
Other values (115) 759
31.6%
Decimal Number
ValueCountFrequency (%)
1 209
28.2%
2 105
14.2%
6 78
 
10.5%
3 69
 
9.3%
7 62
 
8.4%
4 57
 
7.7%
0 47
 
6.3%
8 42
 
5.7%
9 42
 
5.7%
5 30
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
F 1
20.0%
P 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
@ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2400
57.2%
Common 1792
42.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 193
 
8.0%
영 192
 
8.0%
군 180
 
7.5%
남 173
 
7.2%
전 167
 
7.0%
도 167
 
7.0%
리 165
 
6.9%
라 163
 
6.8%
호 121
 
5.0%
읍 120
 
5.0%
Other values (115) 759
31.6%
Common
ValueCountFrequency (%)
896
50.0%
1 209
 
11.7%
- 131
 
7.3%
2 105
 
5.9%
6 78
 
4.4%
3 69
 
3.9%
7 62
 
3.5%
4 57
 
3.2%
0 47
 
2.6%
8 42
 
2.3%
Other values (7) 96
 
5.4%
Latin
ValueCountFrequency (%)
S 2
40.0%
F 1
20.0%
P 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2400
57.2%
ASCII 1797
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
896
49.9%
1 209
 
11.6%
- 131
 
7.3%
2 105
 
5.8%
6 78
 
4.3%
3 69
 
3.8%
7 62
 
3.5%
4 57
 
3.2%
0 47
 
2.6%
8 42
 
2.3%
Other values (11) 101
 
5.6%
Hangul
ValueCountFrequency (%)
암 193
 
8.0%
영 192
 
8.0%
군 180
 
7.5%
남 173
 
7.2%
전 167
 
7.0%
도 167
 
7.0%
리 165
 
6.9%
라 163
 
6.8%
호 121
 
5.0%
읍 120
 
5.0%
Other values (115) 759
31.6%

소재지전화
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing110
Missing (%)66.7%
Memory size1.4 KiB
2024-04-21T10:21:16.110562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.563636
Min length12

Characters and Unicode

Total characters746
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row 061- 471-0171
2nd row 061- 472-0405
3rd row 061- 473-1338
4th row061 -472 -0104
5th row 061- 471-9494
ValueCountFrequency (%)
061 43
31.9%
462 11
 
8.1%
471 6
 
4.4%
461 5
 
3.7%
463 4
 
3.0%
464 3
 
2.2%
472 3
 
2.2%
473 3
 
2.2%
1199 1
 
0.7%
0054 1
 
0.7%
Other values (55) 55
40.7%
2024-04-21T10:21:16.407892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
14.7%
1 98
13.1%
6 97
13.0%
0 91
12.2%
86
11.5%
4 81
10.9%
2 44
 
5.9%
3 41
 
5.5%
7 38
 
5.1%
5 22
 
2.9%
Other values (2) 38
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 550
73.7%
Dash Punctuation 110
 
14.7%
Space Separator 86
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 98
17.8%
6 97
17.6%
0 91
16.5%
4 81
14.7%
2 44
8.0%
3 41
7.5%
7 38
 
6.9%
5 22
 
4.0%
9 19
 
3.5%
8 19
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 110
14.7%
1 98
13.1%
6 97
13.0%
0 91
12.2%
86
11.5%
4 81
10.9%
2 44
 
5.9%
3 41
 
5.5%
7 38
 
5.1%
5 22
 
2.9%
Other values (2) 38
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
14.7%
1 98
13.1%
6 97
13.0%
0 91
12.2%
86
11.5%
4 81
10.9%
2 44
 
5.9%
3 41
 
5.5%
7 38
 
5.1%
5 22
 
2.9%
Other values (2) 38
 
5.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-03
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-03
2nd row2024-04-03
3rd row2024-04-03
4th row2024-04-03
5th row2024-04-03

Common Values

ValueCountFrequency (%)
2024-04-03 165
100.0%

Length

2024-04-21T10:21:16.528339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:21:16.611166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-03 165
100.0%

Interactions

2024-04-21T10:21:13.440169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:21:16.667015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0001.000
소재지전화1.0001.000

Missing values

2024-04-21T10:21:13.587894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:21:13.683011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-04-21T10:21:13.773481image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
01휴게음식점학휴게음식점전라남도 영암군 군서면 왕인로 502전라남도 영암군 군서면 동구림리 48-23061- 471-01712024-04-03
12휴게음식점월출산장커피숍전라남도 영암군 군서면 도갑사로 305전라남도 영암군 군서면 도갑리 64061- 472-04052024-04-03
23휴게음식점쵸이스다방전라남도 영암군 영암읍 중앙로 25 ((2층))전라남도 영암군 영암읍 서남리 35-1 (2층)061- 473-13382024-04-03
34휴게음식점김밥이랑 커피전라남도 영암군 학산면 독천로 233전라남도 영암군 학산면 독천리 42-8061 -472 -01042024-04-03
45휴게음식점드림편의휴게음식점전라남도 영암군 영암읍 오리정길 2전라남도 영암군 영암읍 남풍리 167-3061- 471-94942024-04-03
56휴게음식점숲속의산새둥지전라남도 영암군 영암읍 천황사로 280-46전라남도 영암군 영암읍 개신리 484-98061 -471 -24472024-04-03
67휴게음식점중앙전라남도 영암군 서호면 장동길 4전라남도 영암군 서호면 장천리 552-10061- 472-66332024-04-03
78휴게음식점동아보건대식당전라남도 영암군 학산면 영산로 76-57 ((6동1층))전라남도 영암군 학산면 독천리 산 22-1 (6동1층)<NA>2024-04-03
89휴게음식점와우버거 앤 커피전라남도 영암군 학산면 영산로 10전라남도 영암군 학산면 독천리 1237-25 외 3필지061- 473-01112024-04-03
910휴게음식점세븐일레븐 영암대불산단점전라남도 영암군 삼호읍 대불산단1로 166전라남도 영암군 삼호읍 나불리 604-14061 -461 -01512024-04-03
연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
155156휴게음식점씨유 영암삼호대불점전라남도 영암군 삼호읍 대불주거3로 29, 1층전라남도 영암군 삼호읍 용앙리 1702-23<NA>2024-04-03
156157휴게음식점떡볶이삼촌 삼호점전라남도 영암군 삼호읍 대불주거6로 16, 126동 105호 (중흥S클래스리버티아파트)전라남도 영암군 삼호읍 용앙리 1669-1 중흥S클래스리버티아파트<NA>2024-04-03
157158휴게음식점지에스(GS)25 영암역리점전라남도 영암군 영암읍 중앙로 89, 1층전라남도 영암군 영암읍 역리 163-4<NA>2024-04-03
158159휴게음식점씨유(CU) 영암삼호유일점전라남도 영암군 삼호읍 대불산단1로 65 (주)유일 본사 1층전라남도 영암군 삼호읍 나불리 610-2 (주)유일 본사<NA>2024-04-03
159160휴게음식점언덕위에하얀집전라남도 영암군 덕진면 여운재로 565, 3층전라남도 영암군 덕진면 노송리 1-3<NA>2024-04-03
160161휴게음식점카페차밍전라남도 영암군 삼호읍 대불주거로 61-8, 1층 104호전라남도 영암군 삼호읍 용앙리 391-39<NA>2024-04-03
161162휴게음식점지에스25 삼호일등점전라남도 영암군 삼호읍 신항로 120-69, 4~5호전라남도 영암군 삼호읍 용당리 1926-117<NA>2024-04-03
162163휴게음식점나팔수의 이야기전라남도 영암군 군서면 왕인로 440, 2024 영암왕인문화축제장 일원전라남도 영암군 군서면 동구림리 산 17 왕인박사유적지<NA>2024-04-03
163164휴게음식점참향휴게음식점<NA>전라남도 영암군 삼호읍 삼포리 481-3<NA>2024-04-03
164165휴게음식점더 마켓(The Maket)전라남도 영암군 신북면 예향로 2605전라남도 영암군 신북면 월평리 235-60<NA>2024-04-03