Overview

Dataset statistics

Number of variables9
Number of observations108
Missing cells62
Missing cells (%)6.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory75.2 B

Variable types

Categorical2
Text4
DateTime1
Numeric2

Dataset

Description충청남도 청양군 담배소매업 현황으로 사업장명, 인허가일자, 영업상태명, 소재지전화, 지번주소등으로 데이터를 나타내고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=430&beforeMenuCd=DOM_000000201001001000&publicdatapk=15029936

Alerts

서비스구분 has constant value ""Constant
영업상태명 has constant value ""Constant
소재지전화 has 62 (57.4%) missing valuesMissing

Reproduction

Analysis started2024-01-09 21:22:20.918953
Analysis finished2024-01-09 21:22:21.936724
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
담배소매업
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담배소매업 108
100.0%

Length

2024-01-10T06:22:21.985761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:22:22.058329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담배소매업 108
100.0%

사업장명
Text

Distinct105
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-01-10T06:22:22.233075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.3240741
Min length2

Characters and Unicode

Total characters683
Distinct characters186
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

Unique103 ?
Unique (%)95.4%

Sample

1st row판다팜
2nd row씨유청양휴먼시아점
3rd row(주)코리아세븐 청양휴게소 2호점
4th row(주)코리아세븐 청양휴게소 1호점
5th row대금성
ValueCountFrequency (%)
씨유 5
 
3.8%
잡화 3
 
2.3%
삼거리슈퍼 2
 
1.5%
미니스톱 2
 
1.5%
gs25 2
 
1.5%
주)코리아세븐 2
 
1.5%
세븐일레븐 2
 
1.5%
청양휴게소 2
 
1.5%
장평마트 1
 
0.8%
칠갑산마트 1
 
0.8%
Other values (110) 110
83.3%
2024-01-10T06:22:22.552866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 31
 
4.5%
청 28
 
4.1%
24
 
3.5%
양 23
 
3.4%
퍼 18
 
2.6%
슈 17
 
2.5%
마 16
 
2.3%
정 14
 
2.0%
산 14
 
2.0%
농 13
 
1.9%
Other values (176) 485
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 623
91.2%
Space Separator 24
 
3.5%
Uppercase Letter 16
 
2.3%
Decimal Number 10
 
1.5%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 31
 
5.0%
청 28
 
4.5%
양 23
 
3.7%
퍼 18
 
2.9%
슈 17
 
2.7%
마 16
 
2.6%
정 14
 
2.2%
산 14
 
2.2%
농 13
 
2.1%
트 13
 
2.1%
Other values (163) 436
70.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
G 4
25.0%
C 2
12.5%
U 2
12.5%
O 2
12.5%
A 1
 
6.2%
K 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
5 4
40.0%
1 1
 
10.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 623
91.2%
Common 44
 
6.4%
Latin 16
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 31
 
5.0%
청 28
 
4.5%
양 23
 
3.7%
퍼 18
 
2.9%
슈 17
 
2.7%
마 16
 
2.6%
정 14
 
2.2%
산 14
 
2.2%
농 13
 
2.1%
트 13
 
2.1%
Other values (163) 436
70.0%
Latin
ValueCountFrequency (%)
S 4
25.0%
G 4
25.0%
C 2
12.5%
U 2
12.5%
O 2
12.5%
A 1
 
6.2%
K 1
 
6.2%
Common
ValueCountFrequency (%)
24
54.5%
) 5
 
11.4%
( 5
 
11.4%
2 5
 
11.4%
5 4
 
9.1%
1 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 623
91.2%
ASCII 60
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 31
 
5.0%
청 28
 
4.5%
양 23
 
3.7%
퍼 18
 
2.9%
슈 17
 
2.7%
마 16
 
2.6%
정 14
 
2.2%
산 14
 
2.2%
농 13
 
2.1%
트 13
 
2.1%
Other values (163) 436
70.0%
ASCII
ValueCountFrequency (%)
24
40.0%
) 5
 
8.3%
( 5
 
8.3%
2 5
 
8.3%
S 4
 
6.7%
5 4
 
6.7%
G 4
 
6.7%
C 2
 
3.3%
U 2
 
3.3%
O 2
 
3.3%
Other values (3) 3
 
5.0%

인허가일자
Date

Distinct100
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum1984-08-24 00:00:00
Maximum2022-04-08 00:00:00
2024-01-10T06:22:22.664641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:22.768117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
영업/정상
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 108
100.0%

Length

2024-01-10T06:22:22.864027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:22:22.933706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 108
100.0%

소재지전화
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing62
Missing (%)57.4%
Memory size996.0 B
2024-01-10T06:22:23.087814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique46 ?
Unique (%)100.0%

Sample

1st row041-942-2112
2nd row041-943-5495
3rd row041-942-9421
4th row041-943-7071
5th row041-943-6241
ValueCountFrequency (%)
041-943-7017 1
 
2.2%
041-942-2112 1
 
2.2%
041-942-9030 1
 
2.2%
041-943-8200 1
 
2.2%
041-942-4141 1
 
2.2%
041-942-7072 1
 
2.2%
041-942-4020 1
 
2.2%
041-943-4467 1
 
2.2%
041-942-5853 1
 
2.2%
041-942-1455 1
 
2.2%
Other values (36) 36
78.3%
2024-01-10T06:22:23.373591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 116
21.0%
- 92
16.7%
0 71
12.9%
1 71
12.9%
9 64
11.6%
2 41
 
7.4%
3 34
 
6.2%
8 21
 
3.8%
7 16
 
2.9%
5 15
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 116
25.2%
0 71
15.4%
1 71
15.4%
9 64
13.9%
2 41
 
8.9%
3 34
 
7.4%
8 21
 
4.6%
7 16
 
3.5%
5 15
 
3.3%
6 11
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 116
21.0%
- 92
16.7%
0 71
12.9%
1 71
12.9%
9 64
11.6%
2 41
 
7.4%
3 34
 
6.2%
8 21
 
3.8%
7 16
 
2.9%
5 15
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 116
21.0%
- 92
16.7%
0 71
12.9%
1 71
12.9%
9 64
11.6%
2 41
 
7.4%
3 34
 
6.2%
8 21
 
3.8%
7 16
 
2.9%
5 15
 
2.7%

지번주소
Text

Distinct103
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-01-10T06:22:23.605341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30.5
Mean length23.666667
Min length1

Characters and Unicode

Total characters2556
Distinct characters111
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)94.4%

Sample

1st row충청남도 청양군 청양읍 읍내리 327-20
2nd row충청남도 청양군 청양읍 읍내리 287
3rd row충청남도 청양군 목면 대평리 105-7
4th row충청남도 청양군 목면 대평리 105
5th row충청남도 청양군 장평면 미당리 15-1 미당휴게소
ValueCountFrequency (%)
충청남도 102
 
17.1%
청양군 102
 
17.1%
청양읍 41
 
6.9%
읍내리 31
 
5.2%
호 16
 
2.7%
정산면 11
 
1.8%
장평면 10
 
1.7%
대치면 8
 
1.3%
2호 8
 
1.3%
서정리 8
 
1.3%
Other values (171) 259
43.5%
2024-01-10T06:22:23.959061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
22.1%
청 251
 
9.8%
양 147
 
5.8%
남 112
 
4.4%
충 103
 
4.0%
도 103
 
4.0%
군 102
 
4.0%
리 101
 
4.0%
지 80
 
3.1%
1 75
 
2.9%
Other values (101) 918
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1581
61.9%
Space Separator 564
 
22.1%
Decimal Number 391
 
15.3%
Dash Punctuation 18
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 251
15.9%
양 147
 
9.3%
남 112
 
7.1%
충 103
 
6.5%
도 103
 
6.5%
군 102
 
6.5%
리 101
 
6.4%
지 80
 
5.1%
번 75
 
4.7%
읍 72
 
4.6%
Other values (87) 435
27.5%
Decimal Number
ValueCountFrequency (%)
1 75
19.2%
2 63
16.1%
7 40
10.2%
3 40
10.2%
5 35
9.0%
4 32
8.2%
6 30
 
7.7%
0 28
 
7.2%
8 24
 
6.1%
9 24
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1581
61.9%
Common 973
38.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 251
15.9%
양 147
 
9.3%
남 112
 
7.1%
충 103
 
6.5%
도 103
 
6.5%
군 102
 
6.5%
리 101
 
6.4%
지 80
 
5.1%
번 75
 
4.7%
읍 72
 
4.6%
Other values (87) 435
27.5%
Common
ValueCountFrequency (%)
564
58.0%
1 75
 
7.7%
2 63
 
6.5%
7 40
 
4.1%
3 40
 
4.1%
5 35
 
3.6%
4 32
 
3.3%
6 30
 
3.1%
0 28
 
2.9%
8 24
 
2.5%
Other values (2) 42
 
4.3%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
61.9%
ASCII 975
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
564
57.8%
1 75
 
7.7%
2 63
 
6.5%
7 40
 
4.1%
3 40
 
4.1%
5 35
 
3.6%
4 32
 
3.3%
6 30
 
3.1%
0 28
 
2.9%
8 24
 
2.5%
Other values (4) 44
 
4.5%
Hangul
ValueCountFrequency (%)
청 251
15.9%
양 147
 
9.3%
남 112
 
7.1%
충 103
 
6.5%
도 103
 
6.5%
군 102
 
6.5%
리 101
 
6.4%
지 80
 
5.1%
번 75
 
4.7%
읍 72
 
4.6%
Other values (87) 435
27.5%

도로명주소
Text

Distinct102
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-01-10T06:22:24.237720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length20.87963
Min length1

Characters and Unicode

Total characters2255
Distinct characters127
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

Unique100 ?
Unique (%)92.6%

Sample

1st row충청남도 청양군 청양읍 고리섬들길 70
2nd row충청남도 청양군 청양읍 중앙로3길 26
3rd row충청남도 청양군 목면 서천공주고속도로 50
4th row충청남도 청양군 목면 서천공주고속도로 49
5th row충청남도 청양군 장평면 충의로 917. 미당휴게소
ValueCountFrequency (%)
충청남도 102
19.4%
청양군 102
19.4%
청양읍 46
 
8.7%
정산면 12
 
2.3%
중앙로 11
 
2.1%
장평면 9
 
1.7%
칠갑산로 8
 
1.5%
대치면 7
 
1.3%
목면 7
 
1.3%
운곡면 6
 
1.1%
Other values (155) 217
41.2%
2024-01-10T06:22:24.623425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
19.2%
청 263
 
11.7%
양 152
 
6.7%
남 112
 
5.0%
충 112
 
5.0%
도 105
 
4.7%
군 102
 
4.5%
1 83
 
3.7%
로 65
 
2.9%
면 56
 
2.5%
Other values (117) 773
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1456
64.6%
Space Separator 432
 
19.2%
Decimal Number 320
 
14.2%
Dash Punctuation 26
 
1.2%
Other Punctuation 15
 
0.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 263
18.1%
양 152
 
10.4%
남 112
 
7.7%
충 112
 
7.7%
도 105
 
7.2%
군 102
 
7.0%
로 65
 
4.5%
면 56
 
3.8%
길 49
 
3.4%
읍 46
 
3.2%
Other values (100) 394
27.1%
Decimal Number
ValueCountFrequency (%)
1 83
25.9%
2 42
13.1%
7 37
11.6%
5 32
 
10.0%
3 28
 
8.8%
6 27
 
8.4%
0 23
 
7.2%
4 18
 
5.6%
9 17
 
5.3%
8 13
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1456
64.6%
Common 797
35.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 263
18.1%
양 152
 
10.4%
남 112
 
7.7%
충 112
 
7.7%
도 105
 
7.2%
군 102
 
7.0%
로 65
 
4.5%
면 56
 
3.8%
길 49
 
3.4%
읍 46
 
3.2%
Other values (100) 394
27.1%
Common
ValueCountFrequency (%)
432
54.2%
1 83
 
10.4%
2 42
 
5.3%
7 37
 
4.6%
5 32
 
4.0%
3 28
 
3.5%
6 27
 
3.4%
- 26
 
3.3%
0 23
 
2.9%
4 18
 
2.3%
Other values (5) 49
 
6.1%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1456
64.6%
ASCII 799
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
54.1%
1 83
 
10.4%
2 42
 
5.3%
7 37
 
4.6%
5 32
 
4.0%
3 28
 
3.5%
6 27
 
3.4%
- 26
 
3.3%
0 23
 
2.9%
4 18
 
2.3%
Other values (7) 51
 
6.4%
Hangul
ValueCountFrequency (%)
청 263
18.1%
양 152
 
10.4%
남 112
 
7.7%
충 112
 
7.7%
도 105
 
7.2%
군 102
 
7.0%
로 65
 
4.5%
면 56
 
3.8%
길 49
 
3.4%
읍 46
 
3.2%
Other values (100) 394
27.1%

위도
Real number (ℝ)

Distinct104
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.432237
Minimum36.332036
Maximum36.533616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T06:22:24.739469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.332036
5-th percentile36.34157
Q136.410763
median36.44594
Q336.451843
95-th percentile36.515604
Maximum36.533616
Range0.2015805
Interquartile range (IQR)0.041079475

Descriptive statistics

Standard deviation0.043513854
Coefficient of variation (CV)0.0011943778
Kurtosis0.39893953
Mean36.432237
Median Absolute Deviation (MAD)0.0254449
Skewness-0.23886041
Sum3934.6816
Variance0.0018934555
MonotonicityNot monotonic
2024-01-10T06:22:24.852585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.4470748 2
 
1.9%
36.4189464 2
 
1.9%
36.450536 2
 
1.9%
36.4485161 2
 
1.9%
36.3937236 1
 
0.9%
36.4543577 1
 
0.9%
36.5072761 1
 
0.9%
36.3424547 1
 
0.9%
36.3403694 1
 
0.9%
36.4476397 1
 
0.9%
Other values (94) 94
87.0%
ValueCountFrequency (%)
36.3320356 1
0.9%
36.3366206 1
0.9%
36.3385403 1
0.9%
36.3403694 1
0.9%
36.3406605 1
0.9%
36.3410939 1
0.9%
36.3424547 1
0.9%
36.3473203 1
0.9%
36.3532019 1
0.9%
36.3535187 1
0.9%
ValueCountFrequency (%)
36.5336161 1
0.9%
36.5235243 1
0.9%
36.5224715 1
0.9%
36.5224114 1
0.9%
36.5202989 1
0.9%
36.5200883 1
0.9%
36.5072761 1
0.9%
36.4991592 1
0.9%
36.4982829 1
0.9%
36.4904165 1
0.9%

경도
Real number (ℝ)

Distinct104
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.84456
Minimum126.71496
Maximum127.00824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T06:22:24.963749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71496
5-th percentile126.7655
Q1126.80139
median126.80516
Q3126.89286
95-th percentile126.98095
Maximum127.00824
Range0.2932775
Interquartile range (IQR)0.091460075

Descriptive statistics

Standard deviation0.071765499
Coefficient of variation (CV)0.00056577512
Kurtosis-0.38669278
Mean126.84456
Median Absolute Deviation (MAD)0.0282318
Skewness0.75728961
Sum13699.213
Variance0.0051502868
MonotonicityNot monotonic
2024-01-10T06:22:25.069755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8021507 2
 
1.9%
127.0038964 2
 
1.9%
126.8017622 2
 
1.9%
126.7986752 2
 
1.9%
126.8602676 1
 
0.9%
126.8003893 1
 
0.9%
126.8369888 1
 
0.9%
126.8934994 1
 
0.9%
126.8923492 1
 
0.9%
126.8020377 1
 
0.9%
Other values (94) 94
87.0%
ValueCountFrequency (%)
126.7149611 1
0.9%
126.7155714 1
0.9%
126.7214975 1
0.9%
126.7367647 1
0.9%
126.7407611 1
0.9%
126.7626665 1
0.9%
126.7707538 1
0.9%
126.77387 1
0.9%
126.774956 1
0.9%
126.7769341 1
0.9%
ValueCountFrequency (%)
127.0082386 1
0.9%
127.0081797 1
0.9%
127.0038964 2
1.9%
127.0024094 1
0.9%
126.9831195 1
0.9%
126.9769187 1
0.9%
126.9523781 1
0.9%
126.9523201 1
0.9%
126.9522197 1
0.9%
126.9505247 1
0.9%

Interactions

2024-01-10T06:22:21.361703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:21.209290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:21.456997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:22:21.286292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:22:25.141270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자소재지전화위도경도
인허가일자1.0001.0000.9420.000
소재지전화1.0001.0001.0001.000
위도0.9421.0001.0000.862
경도0.0001.0000.8621.000
2024-01-10T06:22:25.211320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.492
경도-0.4921.000

Missing values

2024-01-10T06:22:21.797121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:22:21.896820image/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.

Sample

서비스구분사업장명인허가일자영업상태명소재지전화지번주소도로명주소위도경도
0담배소매업판다팜2022-04-08영업/정상041-942-2112충청남도 청양군 청양읍 읍내리 327-20충청남도 청양군 청양읍 고리섬들길 7036.447075126.802151
1담배소매업씨유청양휴먼시아점2022-02-25영업/정상<NA>충청남도 청양군 청양읍 읍내리 287충청남도 청양군 청양읍 중앙로3길 2636.449239126.801618
2담배소매업(주)코리아세븐 청양휴게소 2호점2022-01-28영업/정상<NA>충청남도 청양군 목면 대평리 105-7충청남도 청양군 목면 서천공주고속도로 5036.418946127.003896
3담배소매업(주)코리아세븐 청양휴게소 1호점2022-01-28영업/정상<NA>충청남도 청양군 목면 대평리 105충청남도 청양군 목면 서천공주고속도로 4936.418946127.003896
4담배소매업대금성2022-01-19영업/정상<NA>충청남도 청양군 장평면 미당리 15-1 미당휴게소충청남도 청양군 장평면 충의로 917. 미당휴게소36.372074126.936201
5담배소매업오케이(OK)할인마트2021-11-02영업/정상<NA>충청남도 청양군 청양읍 읍내리 476 휴먼시아충청남도 청양군 청양읍 고리섬들길 53. 상가동 102.103호 (휴먼시아)36.448311126.799241
6담배소매업미타로또2021-10-01영업/정상<NA>충청남도 청양군 청양읍 송방리 199-2충청남도 청양군 청양읍 칠갑산로 15236.449925126.79362
7담배소매업씨유 청양무지개점2021-09-17영업/정상<NA>충청남도 청양군 청양읍 읍내리 215-4충청남도 청양군 청양읍 칠갑산로3길 14. 1층36.452231126.801784
8담배소매업그린가든2021-09-13영업/정상041-943-5495충청남도 청양군 대치면 장곡리 292-6충청남도 청양군 대치면 지천구곡로 522-2. 1층36.398867126.843812
9담배소매업미니스톱 청양고추점2021-06-04영업/정상<NA>충청남도 청양군 청양읍 읍내리 382충청남도 청양군 청양읍 중앙로 6836.445794126.801409
서비스구분사업장명인허가일자영업상태명소재지전화지번주소도로명주소위도경도
98담배소매업안심상회1993-01-29영업/정상<NA>충청남도 청양군 목면 안심리 269번지 1 호충청남도 청양군 목면 건지동길 636.422044127.008239
99담배소매업운곡문구1989-07-15영업/정상<NA>충청남도 청양군 운곡면 신대리 643번지 17 호충청남도 청양군 운곡면 청신로 86236.522472126.844656
100담배소매업일광슈퍼1987-03-19영업/정상<NA>충청남도 청양군 청양읍 읍내리 271번지 5호 2통충청남도 청양군 청양읍 중앙로 18036.455617126.80395
101담배소매업덕흥슈퍼1985-08-27영업/정상<NA>충청남도 청양군 청양읍 읍내리 116번지 9호충청남도 청양군 청양읍 중앙로열길 2236.451561126.805794
102담배소매업마을가게1985-06-30영업/정상<NA>충청남도 청양군 비봉면 용천리 21호36.483389126.770754
103담배소매업둥이네마트1985-06-30영업/정상<NA>충청남도 청양군 청양읍 읍내리 203번지충청남도 청양군 청양읍 칠갑산로7길 1336.451901126.804752
104담배소매업잡화1985-06-30영업/정상<NA>충청남도 청양군 청양읍 읍내리 178번지 4호충청남도 청양군 청양읍 칠갑산로6길 636.450536126.801762
105담배소매업청음사1985-06-30영업/정상<NA>충청남도 청양군 화성면 산정리 588-4 청음사충청남도 청양군 화성면 무한로 118-2. 청음사36.428007126.715571
106담배소매업분향리상회1985-06-21영업/정상<NA>충청남도 청양군 장평면 분향리 538번지 4 호충청남도 청양군 장평면 충의로 309-236.336621126.887911
107담배소매업잡화1984-08-24영업/정상<NA>충청남도 청양군 청양읍 읍내리 208번지 4 호충청남도 청양군 청양읍 중앙로 14236.452237126.803615