Overview

Dataset statistics

Number of variables8
Number of observations241
Missing cells106
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description충청남도 금산군 담배소매인 지정업소 현황 관련(구분, 업소명, 지번주소, 도로명주소, 업소전화번호, 지정일자 등)을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=389&beforeMenuCd=DOM_000000201001001000&publicdatapk=15035334

Alerts

등록기준일 has constant value ""Constant
구분 is highly imbalanced (60.2%)Imbalance
업소전화번호 has 105 (43.6%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:10:25.110119
Analysis finished2024-01-09 20:10:26.102043
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct241
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121
Minimum1
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-10T05:10:26.190931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q161
median121
Q3181
95-th percentile229
Maximum241
Range240
Interquartile range (IQR)120

Descriptive statistics

Standard deviation69.714896
Coefficient of variation (CV)0.57615616
Kurtosis-1.2
Mean121
Median Absolute Deviation (MAD)60
Skewness0
Sum29161
Variance4860.1667
MonotonicityStrictly increasing
2024-01-10T05:10:26.354830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
182 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
Other values (231) 231
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
일반소매인
222 
구내소매인
 
19

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 222
92.1%
구내소매인 19
 
7.9%

Length

2024-01-10T05:10:26.514215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:10:26.617313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 222
92.1%
구내소매인 19
 
7.9%

업소명
Text

Distinct239
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-01-10T05:10:26.967287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.7634855
Min length1

Characters and Unicode

Total characters1630
Distinct characters273
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)98.3%

Sample

1st row세븐일레븐 금산금성공단점
2nd row씨유 금산복수공단점
3rd row세븐일레븐 금산센터하임점
4th row(주)코리아세븐 금산터미널점
5th row씨유(cu)금산은하점
ValueCountFrequency (%)
씨유 13
 
4.3%
세븐일레븐 9
 
3.0%
금산농협 5
 
1.7%
주식회사 4
 
1.3%
금산 3
 
1.0%
금산점 2
 
0.7%
농업회사법인 2
 
0.7%
금산칸타빌점 2
 
0.7%
인삼랜드(하)휴게소 2
 
0.7%
주)코리아세븐 2
 
0.7%
Other values (253) 255
85.3%
2024-01-10T05:10:27.479921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 78
 
4.8%
점 67
 
4.1%
금 65
 
4.0%
60
 
3.7%
상 45
 
2.8%
회 45
 
2.8%
마 31
 
1.9%
퍼 30
 
1.8%
슈 29
 
1.8%
유 29
 
1.8%
Other values (263) 1151
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1470
90.2%
Space Separator 60
 
3.7%
Decimal Number 34
 
2.1%
Uppercase Letter 28
 
1.7%
Close Punctuation 18
 
1.1%
Open Punctuation 18
 
1.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 78
 
5.3%
점 67
 
4.6%
금 65
 
4.4%
상 45
 
3.1%
회 45
 
3.1%
마 31
 
2.1%
퍼 30
 
2.0%
슈 29
 
2.0%
유 29
 
2.0%
대 27
 
1.8%
Other values (244) 1024
69.7%
Uppercase Letter
ValueCountFrequency (%)
S 9
32.1%
G 9
32.1%
C 4
14.3%
I 2
 
7.1%
D 1
 
3.6%
O 1
 
3.6%
K 1
 
3.6%
U 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 15
44.1%
5 14
41.2%
4 2
 
5.9%
1 1
 
2.9%
0 1
 
2.9%
3 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
u 1
50.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1469
90.1%
Common 130
 
8.0%
Latin 30
 
1.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 78
 
5.3%
점 67
 
4.6%
금 65
 
4.4%
상 45
 
3.1%
회 45
 
3.1%
마 31
 
2.1%
퍼 30
 
2.0%
슈 29
 
2.0%
유 29
 
2.0%
대 27
 
1.8%
Other values (243) 1023
69.6%
Latin
ValueCountFrequency (%)
S 9
30.0%
G 9
30.0%
C 4
13.3%
I 2
 
6.7%
c 1
 
3.3%
D 1
 
3.3%
u 1
 
3.3%
O 1
 
3.3%
K 1
 
3.3%
U 1
 
3.3%
Common
ValueCountFrequency (%)
60
46.2%
) 18
 
13.8%
( 18
 
13.8%
2 15
 
11.5%
5 14
 
10.8%
4 2
 
1.5%
1 1
 
0.8%
0 1
 
0.8%
3 1
 
0.8%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1469
90.1%
ASCII 160
 
9.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 78
 
5.3%
점 67
 
4.6%
금 65
 
4.4%
상 45
 
3.1%
회 45
 
3.1%
마 31
 
2.1%
퍼 30
 
2.0%
슈 29
 
2.0%
유 29
 
2.0%
대 27
 
1.8%
Other values (243) 1023
69.6%
ASCII
ValueCountFrequency (%)
60
37.5%
) 18
 
11.2%
( 18
 
11.2%
2 15
 
9.4%
5 14
 
8.8%
S 9
 
5.6%
G 9
 
5.6%
C 4
 
2.5%
I 2
 
1.2%
4 2
 
1.2%
Other values (9) 9
 
5.6%
CJK
ValueCountFrequency (%)
愛 1
100.0%

지번주소
Text

UNIQUE 

Distinct241
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-01-10T05:10:27.822167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length25.033195
Min length18

Characters and Unicode

Total characters6033
Distinct characters166
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)100.0%

Sample

1st row충청남도 금산군 금성면 하신리 473-5
2nd row충청남도 금산군 복수면 용진리 415-7
3rd row충청남도 금산군 금산읍 중도리 684
4th row충청남도 금산군 금산읍 상리 34-8 데레사화장품
5th row충청남도 금산군 금산읍 중도리 32-13
ValueCountFrequency (%)
충청남도 241
17.5%
금산군 241
17.5%
금산읍 113
 
8.2%
중도리 40
 
2.9%
상리 38
 
2.8%
추부면 35
 
2.5%
1호 26
 
1.9%
마전리 22
 
1.6%
진산면 18
 
1.3%
복수면 15
 
1.1%
Other values (370) 585
42.6%
2024-01-10T05:10:28.323358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1302
21.6%
산 380
 
6.3%
금 366
 
6.1%
도 281
 
4.7%
남 262
 
4.3%
군 251
 
4.2%
리 250
 
4.1%
충 241
 
4.0%
청 241
 
4.0%
호 184
 
3.0%
Other values (156) 2275
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3703
61.4%
Space Separator 1302
 
21.6%
Decimal Number 938
 
15.5%
Dash Punctuation 82
 
1.4%
Uppercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 380
 
10.3%
금 366
 
9.9%
도 281
 
7.6%
남 262
 
7.1%
군 251
 
6.8%
리 250
 
6.8%
충 241
 
6.5%
청 241
 
6.5%
호 184
 
5.0%
지 137
 
3.7%
Other values (136) 1110
30.0%
Decimal Number
ValueCountFrequency (%)
1 162
17.3%
2 132
14.1%
3 113
12.0%
4 108
11.5%
6 97
10.3%
5 94
10.0%
7 81
8.6%
0 58
 
6.2%
9 47
 
5.0%
8 46
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
P 1
14.3%
T 1
14.3%
A 1
14.3%
K 1
14.3%
S 1
14.3%
G 1
14.3%
O 1
14.3%
Space Separator
ValueCountFrequency (%)
1302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3703
61.4%
Common 2323
38.5%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 380
 
10.3%
금 366
 
9.9%
도 281
 
7.6%
남 262
 
7.1%
군 251
 
6.8%
리 250
 
6.8%
충 241
 
6.5%
청 241
 
6.5%
호 184
 
5.0%
지 137
 
3.7%
Other values (136) 1110
30.0%
Common
ValueCountFrequency (%)
1302
56.0%
1 162
 
7.0%
2 132
 
5.7%
3 113
 
4.9%
4 108
 
4.6%
6 97
 
4.2%
5 94
 
4.0%
- 82
 
3.5%
7 81
 
3.5%
0 58
 
2.5%
Other values (3) 94
 
4.0%
Latin
ValueCountFrequency (%)
P 1
14.3%
T 1
14.3%
A 1
14.3%
K 1
14.3%
S 1
14.3%
G 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3703
61.4%
ASCII 2330
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1302
55.9%
1 162
 
7.0%
2 132
 
5.7%
3 113
 
4.8%
4 108
 
4.6%
6 97
 
4.2%
5 94
 
4.0%
- 82
 
3.5%
7 81
 
3.5%
0 58
 
2.5%
Other values (10) 101
 
4.3%
Hangul
ValueCountFrequency (%)
산 380
 
10.3%
금 366
 
9.9%
도 281
 
7.6%
남 262
 
7.1%
군 251
 
6.8%
리 250
 
6.8%
충 241
 
6.5%
청 241
 
6.5%
호 184
 
5.0%
지 137
 
3.7%
Other values (136) 1110
30.0%

도로명주소
Text

Distinct225
Distinct (%)93.8%
Missing1
Missing (%)0.4%
Memory size2.0 KiB
2024-01-10T05:10:28.737630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length20.670833
Min length1

Characters and Unicode

Total characters4961
Distinct characters183
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

Unique222 ?
Unique (%)92.5%

Sample

1st row충청남도 금산군 금성면 어필각로 456-1
2nd row충청남도 금산군 복수면 다복로 384. 1층
3rd row충청남도 금산군 금산읍 금산로 1554. 제상가동 1층 101.102호
4th row충청남도 금산군 금산읍 비범로 25. 데레사화장품 1층
5th row충청남도 금산군 금산읍 비단로 148
ValueCountFrequency (%)
충청남도 226
18.9%
금산군 225
18.8%
금산읍 105
 
8.8%
추부면 35
 
2.9%
1층 22
 
1.8%
금산로 20
 
1.7%
비단로 19
 
1.6%
진산면 18
 
1.5%
제원면 14
 
1.2%
인삼로 14
 
1.2%
Other values (311) 496
41.5%
2024-01-10T05:10:29.305977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
19.9%
산 390
 
7.9%
금 373
 
7.5%
남 243
 
4.9%
군 238
 
4.8%
청 229
 
4.6%
충 226
 
4.6%
도 226
 
4.6%
1 192
 
3.9%
로 167
 
3.4%
Other values (173) 1688
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3167
63.8%
Space Separator 989
 
19.9%
Decimal Number 708
 
14.3%
Other Punctuation 35
 
0.7%
Dash Punctuation 31
 
0.6%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Uppercase Letter 8
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 390
12.3%
금 373
11.8%
남 243
 
7.7%
군 238
 
7.5%
청 229
 
7.2%
충 226
 
7.1%
도 226
 
7.1%
로 167
 
5.3%
면 121
 
3.8%
읍 109
 
3.4%
Other values (149) 845
26.7%
Decimal Number
ValueCountFrequency (%)
1 192
27.1%
2 78
11.0%
3 70
 
9.9%
4 68
 
9.6%
5 68
 
9.6%
0 63
 
8.9%
7 48
 
6.8%
6 48
 
6.8%
8 40
 
5.6%
9 33
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
12.5%
P 1
12.5%
T 1
12.5%
G 1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%
B 1
12.5%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3167
63.8%
Common 1786
36.0%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 390
12.3%
금 373
11.8%
남 243
 
7.7%
군 238
 
7.5%
청 229
 
7.2%
충 226
 
7.1%
도 226
 
7.1%
로 167
 
5.3%
면 121
 
3.8%
읍 109
 
3.4%
Other values (149) 845
26.7%
Common
ValueCountFrequency (%)
989
55.4%
1 192
 
10.8%
2 78
 
4.4%
3 70
 
3.9%
4 68
 
3.8%
5 68
 
3.8%
0 63
 
3.5%
7 48
 
2.7%
6 48
 
2.7%
8 40
 
2.2%
Other values (6) 122
 
6.8%
Latin
ValueCountFrequency (%)
A 1
12.5%
P 1
12.5%
T 1
12.5%
G 1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3167
63.8%
ASCII 1794
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
55.1%
1 192
 
10.7%
2 78
 
4.3%
3 70
 
3.9%
4 68
 
3.8%
5 68
 
3.8%
0 63
 
3.5%
7 48
 
2.7%
6 48
 
2.7%
8 40
 
2.2%
Other values (14) 130
 
7.2%
Hangul
ValueCountFrequency (%)
산 390
12.3%
금 373
11.8%
남 243
 
7.7%
군 238
 
7.5%
청 229
 
7.2%
충 226
 
7.1%
도 226
 
7.1%
로 167
 
5.3%
면 121
 
3.8%
읍 109
 
3.4%
Other values (149) 845
26.7%

업소전화번호
Text

MISSING 

Distinct133
Distinct (%)97.8%
Missing105
Missing (%)43.6%
Memory size2.0 KiB
2024-01-10T05:10:29.585928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.963235
Min length9

Characters and Unicode

Total characters1627
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)95.6%

Sample

1st row1577-0711
2nd row041-754-4420
3rd row041-751-2753
4th row041-752-5525
5th row02-3284-8209
ValueCountFrequency (%)
041-751-2891 2
 
1.5%
041-752-5061 2
 
1.5%
041-750-9251 2
 
1.5%
041-752-8442 1
 
0.7%
041-751-0101 1
 
0.7%
041-754-4431 1
 
0.7%
041-754-3399 1
 
0.7%
041-752-6494 1
 
0.7%
041-753-5774 1
 
0.7%
041-754-0083 1
 
0.7%
Other values (123) 123
90.4%
2024-01-10T05:10:30.069579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 270
16.6%
0 224
13.8%
4 216
13.3%
1 204
12.5%
5 198
12.2%
7 189
11.6%
2 99
 
6.1%
3 85
 
5.2%
9 53
 
3.3%
8 48
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1357
83.4%
Dash Punctuation 270
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 224
16.5%
4 216
15.9%
1 204
15.0%
5 198
14.6%
7 189
13.9%
2 99
7.3%
3 85
 
6.3%
9 53
 
3.9%
8 48
 
3.5%
6 41
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1627
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 270
16.6%
0 224
13.8%
4 216
13.3%
1 204
12.5%
5 198
12.2%
7 189
11.6%
2 99
 
6.1%
3 85
 
5.2%
9 53
 
3.3%
8 48
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 270
16.6%
0 224
13.8%
4 216
13.3%
1 204
12.5%
5 198
12.2%
7 189
11.6%
2 99
 
6.1%
3 85
 
5.2%
9 53
 
3.3%
8 48
 
3.0%

지정일자
Date

Distinct225
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1975-07-01 00:00:00
Maximum2023-03-07 00:00:00
2024-01-10T05:10:30.251376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:10:30.411961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-03-21
241 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-21
2nd row2023-03-21
3rd row2023-03-21
4th row2023-03-21
5th row2023-03-21

Common Values

ValueCountFrequency (%)
2023-03-21 241
100.0%

Length

2024-01-10T05:10:30.577269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:10:30.695195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-21 241
100.0%

Interactions

2024-01-10T05:10:25.580402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:10:30.781512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.259
구분0.2591.000
2024-01-10T05:10:30.886166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.203
구분0.2031.000

Missing values

2024-01-10T05:10:25.743536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:10:25.920307image/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.
2024-01-10T05:10:26.034171image/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

연번구분업소명지번주소도로명주소업소전화번호지정일자등록기준일
01일반소매인세븐일레븐 금산금성공단점충청남도 금산군 금성면 하신리 473-5충청남도 금산군 금성면 어필각로 456-1<NA>2023-03-072023-03-21
12일반소매인씨유 금산복수공단점충청남도 금산군 복수면 용진리 415-7충청남도 금산군 복수면 다복로 384. 1층<NA>2023-02-232023-03-21
23일반소매인세븐일레븐 금산센터하임점충청남도 금산군 금산읍 중도리 684충청남도 금산군 금산읍 금산로 1554. 제상가동 1층 101.102호<NA>2023-02-202023-03-21
34일반소매인(주)코리아세븐 금산터미널점충청남도 금산군 금산읍 상리 34-8 데레사화장품충청남도 금산군 금산읍 비범로 25. 데레사화장품 1층1577-07112023-01-202023-03-21
45일반소매인씨유(cu)금산은하점충청남도 금산군 금산읍 중도리 32-13충청남도 금산군 금산읍 비단로 148<NA>2023-01-162023-03-21
56일반소매인지에스(GS25)25금산스타점충청남도 금산군 금산읍 상리 46-10 미스터 피자충청남도 금산군 금산읍 금산로 1516. 미스터 피자 1층<NA>2022-11-282023-03-21
67일반소매인수현가든충청남도 금산군 진산면 두지리 289-5충청남도 금산군 진산면 태고사로 466<NA>2022-11-222023-03-21
78일반소매인박대복 홍삼충청남도 금산군 금산읍 아인리 646-6충청남도 금산군 금산읍 비단로 380-1<NA>2022-10-282023-03-21
89일반소매인세븐일레븐 금산복수점충청남도 금산군 복수면 곡남리 499-7 늘푸른가든충청남도 금산군 복수면 복수로 62. 늘푸른가든 1층<NA>2022-09-302023-03-21
910일반소매인현대해상연수원 구내매점충청남도 금산군 남일면 마장리 750-1 현대해상화재충청남도 금산군 남일면 무금로 2117. 현대해상화재 1층<NA>2022-08-172023-03-21
연번구분업소명지번주소도로명주소업소전화번호지정일자등록기준일
231232일반소매인백호문구사충청남도 금산군 금산읍 상리 179-5호충청남도 금산군 금산읍 금산로 1466041-752-05101993-05-072023-03-21
232233일반소매인형제슈퍼충청남도 금산군 금산읍 상리 11-48호충청남도 금산군 금산읍 비호로 15041-754-49091992-05-142023-03-21
233234일반소매인경희상회충청남도 금산군 남이면 하금리 364-2호충청남도 금산군 남이면 하금평촌길 26041-752-25551988-12-302023-03-21
234235일반소매인로타리상회충청남도 금산군 추부면 마전리 552-1호충청남도 금산군 추부면 삼육로 2041-751-01011986-01-172023-03-21
235236일반소매인수암상회충청남도 금산군 추부면 장대리 251호<NA>1985-02-212023-03-21
236237일반소매인불이상회충청남도 금산군 부리면 불이리 293호충청남도 금산군 부리면 불이동1길 14<NA>1980-07-092023-03-21
237238일반소매인안평상회충청남도 금산군 복수면 신대리 542호충청남도 복수면 복수로 797-4041-752-84421975-07-012023-03-21
238239일반소매인신영상회충청남도 금산군 남이면 하금리 464호충청남도 금산군 남이면 신대길 11041-753-10061975-07-012023-03-21
239240일반소매인수통상회충청남도 금산군 부리면 수통리 418호충청남도 금산군 부리면 수통길 8-3<NA>1975-07-012023-03-21
240241일반소매인남산상회충청남도 금산군 금산읍 하옥리 334호<NA>1975-09-012023-03-21