Overview

Dataset statistics

Number of variables8
Number of observations883
Missing cells302
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.2 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical1
DateTime2
Text4

Dataset

Description영동군 음식점 정보를제공하는 것으로 연번,업종명,인허가일자,업소명,소재지(도로명),소재지(지번),소재지전화,영업자시작일 정보가 있습니다.
Author충청북도 영동군
URLhttps://www.data.go.kr/data/15052842/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지(도로명) has 44 (5.0%) missing valuesMissing
소재지(지번) has 18 (2.0%) missing valuesMissing
소재지전화 has 240 (27.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:11:24.142802
Analysis finished2023-12-12 13:11:25.200903
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct883
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442
Minimum1
Maximum883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-12T22:11:25.290341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.1
Q1221.5
median442
Q3662.5
95-th percentile838.9
Maximum883
Range882
Interquartile range (IQR)441

Descriptive statistics

Standard deviation255.04444
Coefficient of variation (CV)0.57702362
Kurtosis-1.2
Mean442
Median Absolute Deviation (MAD)221
Skewness0
Sum390286
Variance65047.667
MonotonicityStrictly increasing
2023-12-12T22:11:25.486394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
595 1
 
0.1%
584 1
 
0.1%
585 1
 
0.1%
586 1
 
0.1%
587 1
 
0.1%
588 1
 
0.1%
589 1
 
0.1%
590 1
 
0.1%
591 1
 
0.1%
Other values (873) 873
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
883 1
0.1%
882 1
0.1%
881 1
0.1%
880 1
0.1%
879 1
0.1%
878 1
0.1%
877 1
0.1%
876 1
0.1%
875 1
0.1%
874 1
0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
일반음식점
741 
휴게음식점
142 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 741
83.9%
휴게음식점 142
 
16.1%

Length

2023-12-12T22:11:25.650829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:11:25.759093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 741
83.9%
휴게음식점 142
 
16.1%

인허가일자
Date

Distinct804
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1967-10-16 00:00:00
Maximum2021-07-09 00:00:00
2023-12-12T22:11:25.888202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:11:26.056729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct875
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2023-12-12T22:11:26.406783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length5.6874292
Min length2

Characters and Unicode

Total characters5022
Distinct characters539
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique868 ?
Unique (%)98.3%

Sample

1st row장터식당
2nd row추풍령할매갈비
3rd row토가
4th row계룡식당
5th row상촌식육식당
ValueCountFrequency (%)
영동점 18
 
1.6%
카페 10
 
0.9%
식당 7
 
0.6%
충북영동점 6
 
0.5%
치킨 6
 
0.5%
영동 5
 
0.4%
씨유 4
 
0.3%
정다방 3
 
0.3%
족발 3
 
0.3%
gs25 3
 
0.3%
Other values (1027) 1081
94.3%
2023-12-12T22:11:26.846132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
5.2%
식 203
 
4.0%
당 168
 
3.3%
동 116
 
2.3%
영 103
 
2.1%
점 95
 
1.9%
다 68
 
1.4%
방 64
 
1.3%
가 63
 
1.3%
산 63
 
1.3%
Other values (529) 3816
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4445
88.5%
Space Separator 263
 
5.2%
Uppercase Letter 71
 
1.4%
Lowercase Letter 70
 
1.4%
Close Punctuation 59
 
1.2%
Open Punctuation 59
 
1.2%
Decimal Number 42
 
0.8%
Other Punctuation 12
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 203
 
4.6%
당 168
 
3.8%
동 116
 
2.6%
영 103
 
2.3%
점 95
 
2.1%
다 68
 
1.5%
방 64
 
1.4%
가 63
 
1.4%
산 63
 
1.4%
리 62
 
1.4%
Other values (474) 3440
77.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.3%
a 7
10.0%
n 7
10.0%
c 6
 
8.6%
s 5
 
7.1%
i 5
 
7.1%
f 4
 
5.7%
o 4
 
5.7%
r 3
 
4.3%
k 2
 
2.9%
Other values (12) 17
24.3%
Uppercase Letter
ValueCountFrequency (%)
C 11
15.5%
B 7
9.9%
S 7
9.9%
E 5
 
7.0%
U 5
 
7.0%
H 5
 
7.0%
O 4
 
5.6%
G 4
 
5.6%
Y 3
 
4.2%
K 3
 
4.2%
Other values (7) 17
23.9%
Decimal Number
ValueCountFrequency (%)
0 10
23.8%
5 9
21.4%
2 8
19.0%
1 5
11.9%
7 3
 
7.1%
3 2
 
4.8%
6 2
 
4.8%
9 2
 
4.8%
8 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
, 4
33.3%
' 2
 
16.7%
Space Separator
ValueCountFrequency (%)
263
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4441
88.4%
Common 436
 
8.7%
Latin 141
 
2.8%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 203
 
4.6%
당 168
 
3.8%
동 116
 
2.6%
영 103
 
2.3%
점 95
 
2.1%
다 68
 
1.5%
방 64
 
1.4%
가 63
 
1.4%
산 63
 
1.4%
리 62
 
1.4%
Other values (471) 3436
77.4%
Latin
ValueCountFrequency (%)
C 11
 
7.8%
e 10
 
7.1%
a 7
 
5.0%
B 7
 
5.0%
S 7
 
5.0%
n 7
 
5.0%
c 6
 
4.3%
s 5
 
3.5%
E 5
 
3.5%
U 5
 
3.5%
Other values (29) 71
50.4%
Common
ValueCountFrequency (%)
263
60.3%
) 59
 
13.5%
( 59
 
13.5%
0 10
 
2.3%
5 9
 
2.1%
2 8
 
1.8%
& 6
 
1.4%
1 5
 
1.1%
, 4
 
0.9%
7 3
 
0.7%
Other values (6) 10
 
2.3%
Han
ValueCountFrequency (%)
羊 2
50.0%
千 1
25.0%
喜 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4441
88.4%
ASCII 577
 
11.5%
CJK 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
45.6%
) 59
 
10.2%
( 59
 
10.2%
C 11
 
1.9%
0 10
 
1.7%
e 10
 
1.7%
5 9
 
1.6%
2 8
 
1.4%
a 7
 
1.2%
B 7
 
1.2%
Other values (45) 134
23.2%
Hangul
ValueCountFrequency (%)
식 203
 
4.6%
당 168
 
3.8%
동 116
 
2.6%
영 103
 
2.3%
점 95
 
2.1%
다 68
 
1.5%
방 64
 
1.4%
가 63
 
1.4%
산 63
 
1.4%
리 62
 
1.4%
Other values (471) 3436
77.4%
CJK
ValueCountFrequency (%)
羊 2
50.0%
千 1
25.0%
喜 1
25.0%

소재지(도로명)
Text

MISSING 

Distinct745
Distinct (%)88.8%
Missing44
Missing (%)5.0%
Memory size7.0 KiB
2023-12-12T22:11:27.211925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length22.075089
Min length18

Characters and Unicode

Total characters18521
Distinct characters213
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

Unique668 ?
Unique (%)79.6%

Sample

1st row충청북도 영동군 학산면 서산로5길 8-5, 음식점
2nd row충청북도 영동군 추풍령면 추풍령로 497-1
3rd row충청북도 영동군 양강면 학산영동로 830
4th row충청북도 영동군 영동읍 계산로4길 5-2
5th row충청북도 영동군 양산면 금강로 1503
ValueCountFrequency (%)
충청북도 839
19.3%
영동군 839
19.3%
영동읍 493
 
11.3%
황간면 88
 
2.0%
계산로 61
 
1.4%
용산면 55
 
1.3%
추풍령면 47
 
1.1%
영동황간로 40
 
0.9%
양산면 39
 
0.9%
심천면 36
 
0.8%
Other values (641) 1817
41.7%
2023-12-12T22:11:27.724802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3515
19.0%
영 1530
 
8.3%
동 1522
 
8.2%
도 842
 
4.5%
북 840
 
4.5%
군 840
 
4.5%
충 839
 
4.5%
청 839
 
4.5%
로 675
 
3.6%
1 610
 
3.3%
Other values (203) 6469
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12106
65.4%
Space Separator 3515
 
19.0%
Decimal Number 2483
 
13.4%
Dash Punctuation 224
 
1.2%
Other Punctuation 121
 
0.7%
Close Punctuation 35
 
0.2%
Open Punctuation 35
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1530
12.6%
동 1522
12.6%
도 842
 
7.0%
북 840
 
6.9%
군 840
 
6.9%
충 839
 
6.9%
청 839
 
6.9%
로 675
 
5.6%
읍 493
 
4.1%
산 427
 
3.5%
Other values (186) 3259
26.9%
Decimal Number
ValueCountFrequency (%)
1 610
24.6%
2 333
13.4%
3 305
12.3%
4 249
10.0%
5 210
 
8.5%
6 178
 
7.2%
7 163
 
6.6%
9 153
 
6.2%
0 141
 
5.7%
8 141
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
3515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 224
100.0%
Other Punctuation
ValueCountFrequency (%)
, 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12106
65.4%
Common 6413
34.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 1530
12.6%
동 1522
12.6%
도 842
 
7.0%
북 840
 
6.9%
군 840
 
6.9%
충 839
 
6.9%
청 839
 
6.9%
로 675
 
5.6%
읍 493
 
4.1%
산 427
 
3.5%
Other values (186) 3259
26.9%
Common
ValueCountFrequency (%)
3515
54.8%
1 610
 
9.5%
2 333
 
5.2%
3 305
 
4.8%
4 249
 
3.9%
- 224
 
3.5%
5 210
 
3.3%
6 178
 
2.8%
7 163
 
2.5%
9 153
 
2.4%
Other values (5) 473
 
7.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12106
65.4%
ASCII 6415
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3515
54.8%
1 610
 
9.5%
2 333
 
5.2%
3 305
 
4.8%
4 249
 
3.9%
- 224
 
3.5%
5 210
 
3.3%
6 178
 
2.8%
7 163
 
2.5%
9 153
 
2.4%
Other values (7) 475
 
7.4%
Hangul
ValueCountFrequency (%)
영 1530
12.6%
동 1522
12.6%
도 842
 
7.0%
북 840
 
6.9%
군 840
 
6.9%
충 839
 
6.9%
청 839
 
6.9%
로 675
 
5.6%
읍 493
 
4.1%
산 427
 
3.5%
Other values (186) 3259
26.9%

소재지(지번)
Text

MISSING 

Distinct766
Distinct (%)88.6%
Missing18
Missing (%)2.0%
Memory size7.0 KiB
2023-12-12T22:11:28.028971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length23.930636
Min length20

Characters and Unicode

Total characters20700
Distinct characters189
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

Unique682 ?
Unique (%)78.8%

Sample

1st row충청북도 영동군 학산면 서산리 964-61 음식점
2nd row충청북도 영동군 추풍령면 추풍령리 162-15
3rd row충청북도 영동군 양강면 묘동리 310-10
4th row충청북도 영동군 영동읍 계산리 662-12
5th row충청북도 영동군 상촌면 임산리 349-5
ValueCountFrequency (%)
충청북도 865
19.3%
영동군 865
19.3%
영동읍 496
 
11.1%
계산리 365
 
8.1%
황간면 92
 
2.1%
용산면 55
 
1.2%
추풍령면 51
 
1.1%
추풍령리 46
 
1.0%
설계리 41
 
0.9%
구촌리 41
 
0.9%
Other values (861) 1563
34.9%
2023-12-12T22:11:28.469378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4476
21.6%
동 1401
 
6.8%
영 1367
 
6.6%
도 870
 
4.2%
리 869
 
4.2%
군 866
 
4.2%
충 865
 
4.2%
북 865
 
4.2%
청 865
 
4.2%
- 784
 
3.8%
Other values (179) 7472
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11848
57.2%
Space Separator 4476
 
21.6%
Decimal Number 3564
 
17.2%
Dash Punctuation 784
 
3.8%
Other Punctuation 13
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1401
11.8%
영 1367
11.5%
도 870
 
7.3%
리 869
 
7.3%
군 866
 
7.3%
충 865
 
7.3%
북 865
 
7.3%
청 865
 
7.3%
산 563
 
4.8%
읍 496
 
4.2%
Other values (163) 2821
23.8%
Decimal Number
ValueCountFrequency (%)
1 564
15.8%
6 528
14.8%
5 395
11.1%
2 376
10.5%
3 342
9.6%
4 313
8.8%
8 305
8.6%
9 289
8.1%
7 265
7.4%
0 187
 
5.2%
Space Separator
ValueCountFrequency (%)
4476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 784
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11848
57.2%
Common 8851
42.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1401
11.8%
영 1367
11.5%
도 870
 
7.3%
리 869
 
7.3%
군 866
 
7.3%
충 865
 
7.3%
북 865
 
7.3%
청 865
 
7.3%
산 563
 
4.8%
읍 496
 
4.2%
Other values (163) 2821
23.8%
Common
ValueCountFrequency (%)
4476
50.6%
- 784
 
8.9%
1 564
 
6.4%
6 528
 
6.0%
5 395
 
4.5%
2 376
 
4.2%
3 342
 
3.9%
4 313
 
3.5%
8 305
 
3.4%
9 289
 
3.3%
Other values (5) 479
 
5.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11848
57.2%
ASCII 8852
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4476
50.6%
- 784
 
8.9%
1 564
 
6.4%
6 528
 
6.0%
5 395
 
4.5%
2 376
 
4.2%
3 342
 
3.9%
4 313
 
3.5%
8 305
 
3.4%
9 289
 
3.3%
Other values (6) 480
 
5.4%
Hangul
ValueCountFrequency (%)
동 1401
11.8%
영 1367
11.5%
도 870
 
7.3%
리 869
 
7.3%
군 866
 
7.3%
충 865
 
7.3%
북 865
 
7.3%
청 865
 
7.3%
산 563
 
4.8%
읍 496
 
4.2%
Other values (163) 2821
23.8%

소재지전화
Text

MISSING 

Distinct628
Distinct (%)97.7%
Missing240
Missing (%)27.2%
Memory size7.0 KiB
2023-12-12T22:11:28.748756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006221
Min length12

Characters and Unicode

Total characters7720
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

Unique613 ?
Unique (%)95.3%

Sample

1st row043-743-6228
2nd row043-742-2507
3rd row043-742-1015
4th row043-742-3939
5th row043-743-3531
ValueCountFrequency (%)
043-745-8780 2
 
0.3%
043-745-4463 2
 
0.3%
043-742-7776 2
 
0.3%
043-743-2001 2
 
0.3%
043-744-8550 2
 
0.3%
043-744-5334 2
 
0.3%
043-742-5454 2
 
0.3%
043-742-5056 2
 
0.3%
043-743-0097 2
 
0.3%
043-744-6020 2
 
0.3%
Other values (618) 623
96.9%
2023-12-12T22:11:29.212520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1648
21.3%
- 1286
16.7%
3 1057
13.7%
0 983
12.7%
7 882
11.4%
2 468
 
6.1%
5 390
 
5.1%
8 297
 
3.8%
9 274
 
3.5%
1 229
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6434
83.3%
Dash Punctuation 1286
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1648
25.6%
3 1057
16.4%
0 983
15.3%
7 882
13.7%
2 468
 
7.3%
5 390
 
6.1%
8 297
 
4.6%
9 274
 
4.3%
1 229
 
3.6%
6 206
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1648
21.3%
- 1286
16.7%
3 1057
13.7%
0 983
12.7%
7 882
11.4%
2 468
 
6.1%
5 390
 
5.1%
8 297
 
3.8%
9 274
 
3.5%
1 229
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1648
21.3%
- 1286
16.7%
3 1057
13.7%
0 983
12.7%
7 882
11.4%
2 468
 
6.1%
5 390
 
5.1%
8 297
 
3.8%
9 274
 
3.5%
1 229
 
3.0%

영업자시작일
Date

Distinct758
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1974-01-16 00:00:00
Maximum2021-07-13 00:00:00
2023-12-12T22:11:29.371752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:11:29.509476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T22:11:24.765763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:11:29.605675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.989
업종명0.9891.000
2023-12-12T22:11:29.698608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.902
업종명0.9021.000

Missing values

2023-12-12T22:11:24.890192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:11:25.024834image/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.
2023-12-12T22:11:25.147577image/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

연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화영업자시작일
01일반음식점1967-11-30장터식당충청북도 영동군 학산면 서산로5길 8-5, 음식점충청북도 영동군 학산면 서산리 964-61 음식점043-743-62282019-01-21
12일반음식점1967-10-16추풍령할매갈비충청북도 영동군 추풍령면 추풍령로 497-1충청북도 영동군 추풍령면 추풍령리 162-15043-742-25072016-09-29
23일반음식점1968-05-23토가충청북도 영동군 양강면 학산영동로 830충청북도 영동군 양강면 묘동리 310-10043-742-10152018-04-26
34일반음식점1970-11-02계룡식당충청북도 영동군 영동읍 계산로4길 5-2충청북도 영동군 영동읍 계산리 662-12043-742-39391996-05-15
45일반음식점1974-01-16상촌식육식당<NA>충청북도 영동군 상촌면 임산리 349-5043-743-35311974-01-16
56일반음식점1975-07-29신화식당충청북도 영동군 양산면 금강로 1503<NA>043-744-65882011-07-15
67일반음식점1975-12-26영락원충청북도 영동군 영동읍 중앙로2길 3충청북도 영동군 영동읍 계산리 687-14043-742-23861975-12-26
78일반음식점1976-02-27개미식당충청북도 영동군 황간면 구룡로 242충청북도 영동군 황간면 금계리 546-2043-742-80302005-01-26
89일반음식점1976-02-27영산원충청북도 영동군 영동읍 영동시장3길 20-1충청북도 영동군 영동읍 계산리 590-10043-742-24211976-02-27
910일반음식점1976-02-28큰집할매 순대국충청북도 영동군 추풍령면 신안로 32, 음식점충청북도 영동군 추풍령면 추풍령리 190-5 음식점043-742-41222006-03-14
연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화영업자시작일
873874휴게음식점2021-03-24카페 베디아모충청북도 영동군 양강면 양정죽촌로 70충청북도 영동군 양강면 양정리 595<NA>2021-03-24
874875휴게음식점2021-04-15곶감다방충청북도 영동군 영동읍 중앙로1길 6-6충청북도 영동군 영동읍 계산리 691-3<NA>2021-04-15
875876휴게음식점2021-04-28히스토리아충청북도 영동군 용산면 영동산단로 27-10충청북도 영동군 용산면 매금리 859043-742-02842021-04-28
876877휴게음식점2021-05-04역전다방충청북도 영동군 영동읍 계산로 82, 음식점충청북도 영동군 영동읍 계산리 653-4 음식점043-742-88582021-05-04
877878휴게음식점2021-05-10장혜숙 겔러리&카페충청북도 영동군 영동읍 대학로 25-1충청북도 영동군 영동읍 계산리 320-1 구교동노인정<NA>2021-05-10
878879휴게음식점2021-06-08본도시락(충북영동점)충청북도 영동군 영동읍 중앙로 53, 상가충청북도 영동군 영동읍 계산리 194-12 상가<NA>2021-06-08
879880휴게음식점2021-06-09봉끄랑충청북도 영동군 영동읍 중앙로 43, 상가 7층충청북도 영동군 영동읍 계산리 697-1 상가<NA>2021-06-09
880881휴게음식점2021-06-14GS25 영동부용점충청북도 영동군 영동읍 학산영동로 1197, 101호충청북도 영동군 영동읍 부용리 54-4043-744-25582021-06-14
881882휴게음식점2021-06-14월류다방충청북도 영동군 황간면 황간로 39-5 (서도프라쟈)충청북도 영동군 황간면 남성리 583-2 서도프라쟈<NA>2021-06-14
882883휴게음식점2021-06-23달이 뜨는 강충청북도 영동군 황간면 백화산로 560충청북도 영동군 황간면 우매리 164-10<NA>2021-06-23