Overview

Dataset statistics

Number of variables18
Number of observations328
Missing cells284
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory147.4 B

Variable types

Text9
Categorical6
Numeric2
DateTime1

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 경찰서(파출소, 지구대), 소방서, 병원, 약국 등 안전시설에 대한 데이터로 안전시설의 유형과 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109371/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시군구명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
안전시설유형 is highly overall correlated with 상세영업상태코드High correlation
상세영업상태코드 is highly overall correlated with 위도 and 6 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
상세영업상태명 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
휴무일 is highly overall correlated with 상세영업상태코드High correlation
위도 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동명 and 2 other fieldsHigh correlation
상세영업상태코드 is highly imbalanced (97.0%)Imbalance
상세영업상태명 is highly imbalanced (88.7%)Imbalance
인허가일자 has 69 (21.0%) missing valuesMissing
소재지면적 has 208 (63.4%) missing valuesMissing
운영시간 has 4 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:29:12.044229
Analysis finished2023-12-12 10:29:14.382637
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Text

Distinct86
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:29:14.558420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.4573171
Min length4

Characters and Unicode

Total characters1790
Distinct characters107
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)14.3%

Sample

1st row남원1리마을
2nd row남원1리마을
3rd row남원1리마을
4th row남원1리마을
5th row남원1리마을
ValueCountFrequency (%)
하모2리마을 22
 
6.7%
한림1리마을 22
 
6.7%
남원1리마을 19
 
5.8%
함덕리마을 18
 
5.5%
표선리마을 18
 
5.5%
세화마을 16
 
4.9%
한림2리마을 15
 
4.6%
화순리마을 12
 
3.7%
하귀2리마을 10
 
3.0%
고성리마을 10
 
3.0%
Other values (76) 166
50.6%
2023-12-12T19:29:14.951581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 330
18.4%
을 328
18.3%
리 301
16.8%
1 74
 
4.1%
2 62
 
3.5%
하 54
 
3.0%
모 40
 
2.2%
한 38
 
2.1%
림 38
 
2.1%
화 29
 
1.6%
Other values (97) 496
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1637
91.5%
Decimal Number 143
 
8.0%
Space Separator 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 330
20.2%
을 328
20.0%
리 301
18.4%
하 54
 
3.3%
모 40
 
2.4%
한 38
 
2.3%
림 38
 
2.3%
화 29
 
1.8%
성 26
 
1.6%
고 21
 
1.3%
Other values (93) 432
26.4%
Decimal Number
ValueCountFrequency (%)
1 74
51.7%
2 62
43.4%
3 7
 
4.9%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1637
91.5%
Common 153
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 330
20.2%
을 328
20.0%
리 301
18.4%
하 54
 
3.3%
모 40
 
2.4%
한 38
 
2.3%
림 38
 
2.3%
화 29
 
1.8%
성 26
 
1.6%
고 21
 
1.3%
Other values (93) 432
26.4%
Common
ValueCountFrequency (%)
1 74
48.4%
2 62
40.5%
10
 
6.5%
3 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1637
91.5%
ASCII 153
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 330
20.2%
을 328
20.0%
리 301
18.4%
하 54
 
3.3%
모 40
 
2.4%
한 38
 
2.3%
림 38
 
2.3%
화 29
 
1.8%
성 26
 
1.6%
고 21
 
1.3%
Other values (93) 432
26.4%
ASCII
ValueCountFrequency (%)
1 74
48.4%
2 62
40.5%
10
 
6.5%
3 7
 
4.6%

시군구명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
제주시
171 
서귀포시
118 
서귀포시
33 
제주시
 
6

Length

Max length5
Median length3
Mean length3.5792683
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 171
52.1%
서귀포시 118
36.0%
서귀포시 33
 
10.1%
제주시 6
 
1.8%

Length

2023-12-12T19:29:15.117784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:15.263777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 177
54.0%
서귀포시 151
46.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
대정읍
58 
한림읍
47 
애월읍
41 
조천읍
33 
남원읍
28 
Other values (9)
121 

Length

Max length4
Median length3
Mean length3.0030488
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
대정읍 58
17.7%
한림읍 47
14.3%
애월읍 41
12.5%
조천읍 33
10.1%
남원읍 28
8.5%
구좌읍 26
7.9%
성산읍 22
 
6.7%
표선면 22
 
6.7%
한경면 20
 
6.1%
안덕면 18
 
5.5%
Other values (4) 13
 
4.0%

Length

2023-12-12T19:29:15.399441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대정읍 58
17.7%
한림읍 47
14.3%
애월읍 41
12.5%
조천읍 33
10.1%
남원읍 28
8.5%
구좌읍 27
8.2%
성산읍 22
 
6.7%
표선면 22
 
6.7%
한경면 20
 
6.1%
안덕면 18
 
5.5%
Other values (3) 12
 
3.7%

행정리명
Text

Distinct86
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:29:15.691633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.4390244
Min length2

Characters and Unicode

Total characters1128
Distinct characters95
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)14.3%

Sample

1st row남원1리
2nd row남원1리
3rd row남원1리
4th row남원1리
5th row남원1리
ValueCountFrequency (%)
하모2리 22
 
6.7%
한림1리 22
 
6.7%
남원1리 19
 
5.8%
함덕리 18
 
5.5%
표선리 18
 
5.5%
세화리 16
 
4.9%
한림2리 15
 
4.6%
화순리 12
 
3.7%
하귀2리 10
 
3.0%
고성리 10
 
3.0%
Other values (76) 166
50.6%
2023-12-12T19:29:16.220529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 325
28.8%
1 74
 
6.6%
2 62
 
5.5%
하 51
 
4.5%
모 40
 
3.5%
한 38
 
3.4%
림 38
 
3.4%
화 29
 
2.6%
성 26
 
2.3%
귀 21
 
1.9%
Other values (85) 424
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 985
87.3%
Decimal Number 143
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 325
33.0%
하 51
 
5.2%
모 40
 
4.1%
한 38
 
3.9%
림 38
 
3.9%
화 29
 
2.9%
성 26
 
2.6%
귀 21
 
2.1%
고 21
 
2.1%
남 20
 
2.0%
Other values (82) 376
38.2%
Decimal Number
ValueCountFrequency (%)
1 74
51.7%
2 62
43.4%
3 7
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 985
87.3%
Common 143
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 325
33.0%
하 51
 
5.2%
모 40
 
4.1%
한 38
 
3.9%
림 38
 
3.9%
화 29
 
2.9%
성 26
 
2.6%
귀 21
 
2.1%
고 21
 
2.1%
남 20
 
2.0%
Other values (82) 376
38.2%
Common
ValueCountFrequency (%)
1 74
51.7%
2 62
43.4%
3 7
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 985
87.3%
ASCII 143
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 325
33.0%
하 51
 
5.2%
모 40
 
4.1%
한 38
 
3.9%
림 38
 
3.9%
화 29
 
2.9%
성 26
 
2.6%
귀 21
 
2.1%
고 21
 
2.1%
남 20
 
2.0%
Other values (82) 376
38.2%
ASCII
ValueCountFrequency (%)
1 74
51.7%
2 62
43.4%
3 7
 
4.9%

안전시설명
Text

Distinct325
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:29:16.486398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.3353659
Min length3

Characters and Unicode

Total characters2078
Distinct characters242
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322 ?
Unique (%)98.2%

Sample

1st row남원파출소
2nd row남원의원
3rd row남원고려의원
4th row드림통증의원
5th row우리들치과의원
ValueCountFrequency (%)
건강약국 2
 
0.6%
하나로한의원 2
 
0.6%
제일약국 2
 
0.6%
성산파출소 2
 
0.6%
대정파출소 2
 
0.6%
제주동부경찰서 1
 
0.3%
우도보건지소 1
 
0.3%
서울가정의학과의원 1
 
0.3%
선흘2리보건진료소 1
 
0.3%
선흘1리보건진료소 1
 
0.3%
Other values (321) 321
95.5%
2023-12-12T19:29:16.916704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 167
 
8.0%
의 158
 
7.6%
소 91
 
4.4%
한 82
 
3.9%
약 64
 
3.1%
국 63
 
3.0%
건 62
 
3.0%
보 61
 
2.9%
과 56
 
2.7%
치 50
 
2.4%
Other values (232) 1224
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2029
97.6%
Decimal Number 38
 
1.8%
Space Separator 9
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 167
 
8.2%
의 158
 
7.8%
소 91
 
4.5%
한 82
 
4.0%
약 64
 
3.2%
국 63
 
3.1%
건 62
 
3.1%
보 61
 
3.0%
과 56
 
2.8%
치 50
 
2.5%
Other values (223) 1175
57.9%
Decimal Number
ValueCountFrequency (%)
1 23
60.5%
9 11
28.9%
2 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%
3 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2029
97.6%
Common 47
 
2.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 167
 
8.2%
의 158
 
7.8%
소 91
 
4.5%
한 82
 
4.0%
약 64
 
3.2%
국 63
 
3.1%
건 62
 
3.1%
보 61
 
3.0%
과 56
 
2.8%
치 50
 
2.5%
Other values (223) 1175
57.9%
Common
ValueCountFrequency (%)
1 23
48.9%
9 11
23.4%
9
 
19.1%
2 1
 
2.1%
5 1
 
2.1%
6 1
 
2.1%
3 1
 
2.1%
Latin
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2029
97.6%
ASCII 49
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 167
 
8.2%
의 158
 
7.8%
소 91
 
4.5%
한 82
 
4.0%
약 64
 
3.2%
국 63
 
3.1%
건 62
 
3.1%
보 61
 
3.0%
과 56
 
2.8%
치 50
 
2.5%
Other values (223) 1175
57.9%
ASCII
ValueCountFrequency (%)
1 23
46.9%
9 11
22.4%
9
 
18.4%
2 1
 
2.0%
e 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
3 1
 
2.0%
i 1
 
2.0%

안전시설유형
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
병원
176 
약국
63 
보건소
43 
파출소
24 
소방서
 
9
Other values (7)
 
13

Length

Max length7
Median length2
Mean length2.3353659
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row경찰서
2nd row병원
3rd row병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
병원 176
53.7%
약국 63
 
19.2%
보건소 43
 
13.1%
파출소 24
 
7.3%
소방서 9
 
2.7%
119안전센터 3
 
0.9%
경찰서 2
 
0.6%
치안센터 2
 
0.6%
해양파출소 2
 
0.6%
한의원 2
 
0.6%
Other values (2) 2
 
0.6%

Length

2023-12-12T19:29:17.114347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
병원 176
53.7%
약국 63
 
19.2%
보건소 44
 
13.4%
파출소 24
 
7.3%
소방서 9
 
2.7%
119안전센터 3
 
0.9%
경찰서 2
 
0.6%
치안센터 2
 
0.6%
해양파출소 2
 
0.6%
한의원 2
 
0.6%

소재지전화번호
Text

Distinct321
Distinct (%)98.8%
Missing3
Missing (%)0.9%
Memory size2.7 KiB
2023-12-12T19:29:17.378738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.033846
Min length12

Characters and Unicode

Total characters3911
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

Unique317 ?
Unique (%)97.5%

Sample

1st row064-764-0112
2nd row064-764-4156
3rd row064-764-6988
4th row064-764-7227
5th row064-764-7528
ValueCountFrequency (%)
064-783-7528 2
 
0.6%
064-783-8112 2
 
0.6%
064-794-7112 2
 
0.6%
064-782-0990 2
 
0.6%
064-904-1102 1
 
0.3%
064-713-2381 1
 
0.3%
064-728-7305 1
 
0.3%
064-783-0112 1
 
0.3%
064-728-1518 1
 
0.3%
064-713-1112 1
 
0.3%
Other values (311) 311
95.7%
2023-12-12T19:29:17.864938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 650
16.6%
0 532
13.6%
7 522
13.3%
6 511
13.1%
4 465
11.9%
2 256
 
6.5%
8 244
 
6.2%
9 210
 
5.4%
1 190
 
4.9%
3 177
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3261
83.4%
Dash Punctuation 650
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 532
16.3%
7 522
16.0%
6 511
15.7%
4 465
14.3%
2 256
7.9%
8 244
7.5%
9 210
 
6.4%
1 190
 
5.8%
3 177
 
5.4%
5 154
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3911
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 650
16.6%
0 532
13.6%
7 522
13.3%
6 511
13.1%
4 465
11.9%
2 256
 
6.5%
8 244
 
6.2%
9 210
 
5.4%
1 190
 
4.9%
3 177
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 650
16.6%
0 532
13.6%
7 522
13.3%
6 511
13.1%
4 465
11.9%
2 256
 
6.5%
8 244
 
6.2%
9 210
 
5.4%
1 190
 
4.9%
3 177
 
4.5%

소재지도로명주소
Text

Distinct294
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:29:18.111546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length25.445122
Min length20

Characters and Unicode

Total characters8346
Distinct characters176
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

Unique265 ?
Unique (%)80.8%

Sample

1st row제주특별자치도 서귀포시 남원읍 태위로 702
2nd row제주특별자치도 서귀포시 남원읍 태위로 636
3rd row제주특별자치도 서귀포시 남원읍 태위로 691
4th row제주특별자치도 서귀포시 남원읍 태위로 629
5th row제주특별자치도 서귀포시 남원읍 태위로 687
ValueCountFrequency (%)
제주특별자치도 328
19.2%
제주시 177
 
10.4%
서귀포시 151
 
8.8%
대정읍 58
 
3.4%
한림읍 47
 
2.7%
애월읍 41
 
2.4%
조천읍 33
 
1.9%
남원읍 28
 
1.6%
구좌읍 27
 
1.6%
신북로 23
 
1.3%
Other values (377) 797
46.6%
2023-12-12T19:29:18.509541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1401
 
16.8%
주 515
 
6.2%
제 506
 
6.1%
자 342
 
4.1%
시 336
 
4.0%
도 335
 
4.0%
특 328
 
3.9%
별 328
 
3.9%
치 328
 
3.9%
로 304
 
3.6%
Other values (166) 3623
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5917
70.9%
Space Separator 1401
 
16.8%
Decimal Number 985
 
11.8%
Dash Punctuation 37
 
0.4%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 515
 
8.7%
제 506
 
8.6%
자 342
 
5.8%
시 336
 
5.7%
도 335
 
5.7%
특 328
 
5.5%
별 328
 
5.5%
치 328
 
5.5%
로 304
 
5.1%
읍 259
 
4.4%
Other values (150) 2336
39.5%
Decimal Number
ValueCountFrequency (%)
1 221
22.4%
2 141
14.3%
6 117
11.9%
3 95
9.6%
4 86
 
8.7%
5 80
 
8.1%
7 77
 
7.8%
0 70
 
7.1%
9 49
 
5.0%
8 49
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
1401
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5917
70.9%
Common 2426
29.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 515
 
8.7%
제 506
 
8.6%
자 342
 
5.8%
시 336
 
5.7%
도 335
 
5.7%
특 328
 
5.5%
별 328
 
5.5%
치 328
 
5.5%
로 304
 
5.1%
읍 259
 
4.4%
Other values (150) 2336
39.5%
Common
ValueCountFrequency (%)
1401
57.7%
1 221
 
9.1%
2 141
 
5.8%
6 117
 
4.8%
3 95
 
3.9%
4 86
 
3.5%
5 80
 
3.3%
7 77
 
3.2%
0 70
 
2.9%
9 49
 
2.0%
Other values (3) 89
 
3.7%
Latin
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5917
70.9%
ASCII 2429
29.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1401
57.7%
1 221
 
9.1%
2 141
 
5.8%
6 117
 
4.8%
3 95
 
3.9%
4 86
 
3.5%
5 80
 
3.3%
7 77
 
3.2%
0 70
 
2.9%
9 49
 
2.0%
Other values (6) 92
 
3.8%
Hangul
ValueCountFrequency (%)
주 515
 
8.7%
제 506
 
8.6%
자 342
 
5.8%
시 336
 
5.7%
도 335
 
5.7%
특 328
 
5.5%
별 328
 
5.5%
치 328
 
5.5%
로 304
 
5.1%
읍 259
 
4.4%
Other values (150) 2336
39.5%

소재지지번주소
Text

Distinct281
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:29:18.822066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31.5
Mean length25.908537
Min length20

Characters and Unicode

Total characters8498
Distinct characters117
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)74.4%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원리 81-1
2nd row제주특별자치도 서귀포시 남원읍 남원리 1348
3rd row제주특별자치도 서귀포시 남원읍 남원리 205-19
4th row제주특별자치도 서귀포시 남원읍 남원리 1339-2
5th row제주특별자치도 서귀포시 남원읍 남원리 100-2
ValueCountFrequency (%)
제주특별자치도 328
20.0%
제주시 177
 
10.8%
서귀포시 151
 
9.2%
대정읍 58
 
3.5%
한림읍 47
 
2.9%
애월읍 41
 
2.5%
한림리 37
 
2.3%
조천읍 33
 
2.0%
하모리 32
 
2.0%
남원읍 28
 
1.7%
Other values (364) 708
43.2%
2023-12-12T19:29:19.375051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1312
 
15.4%
제 505
 
5.9%
주 505
 
5.9%
1 372
 
4.4%
자 335
 
3.9%
도 332
 
3.9%
시 329
 
3.9%
치 329
 
3.9%
별 328
 
3.9%
특 328
 
3.9%
Other values (107) 3823
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5400
63.5%
Decimal Number 1507
 
17.7%
Space Separator 1312
 
15.4%
Dash Punctuation 279
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 505
 
9.4%
주 505
 
9.4%
자 335
 
6.2%
도 332
 
6.1%
시 329
 
6.1%
치 329
 
6.1%
별 328
 
6.1%
특 328
 
6.1%
리 325
 
6.0%
읍 258
 
4.8%
Other values (95) 1826
33.8%
Decimal Number
ValueCountFrequency (%)
1 372
24.7%
2 208
13.8%
3 175
11.6%
4 141
 
9.4%
6 117
 
7.8%
8 103
 
6.8%
7 103
 
6.8%
0 100
 
6.6%
5 94
 
6.2%
9 94
 
6.2%
Space Separator
ValueCountFrequency (%)
1312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 279
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5400
63.5%
Common 3098
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 505
 
9.4%
주 505
 
9.4%
자 335
 
6.2%
도 332
 
6.1%
시 329
 
6.1%
치 329
 
6.1%
별 328
 
6.1%
특 328
 
6.1%
리 325
 
6.0%
읍 258
 
4.8%
Other values (95) 1826
33.8%
Common
ValueCountFrequency (%)
1312
42.3%
1 372
 
12.0%
- 279
 
9.0%
2 208
 
6.7%
3 175
 
5.6%
4 141
 
4.6%
6 117
 
3.8%
8 103
 
3.3%
7 103
 
3.3%
0 100
 
3.2%
Other values (2) 188
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5400
63.5%
ASCII 3098
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1312
42.3%
1 372
 
12.0%
- 279
 
9.0%
2 208
 
6.7%
3 175
 
5.6%
4 141
 
4.6%
6 117
 
3.8%
8 103
 
3.3%
7 103
 
3.3%
0 100
 
3.2%
Other values (2) 188
 
6.1%
Hangul
ValueCountFrequency (%)
제 505
 
9.4%
주 505
 
9.4%
자 335
 
6.2%
도 332
 
6.1%
시 329
 
6.1%
치 329
 
6.1%
별 328
 
6.1%
특 328
 
6.1%
리 325
 
6.0%
읍 258
 
4.8%
Other values (95) 1826
33.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct307
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.390278
Minimum33.116512
Maximum33.963931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T19:29:19.615685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.116512
5-th percentile33.221635
Q133.279348
median33.409464
Q333.48018
95-th percentile33.542692
Maximum33.963931
Range0.84741978
Interquartile range (IQR)0.20083201

Descriptive statistics

Standard deviation0.13872782
Coefficient of variation (CV)0.004154737
Kurtosis3.8004789
Mean33.390278
Median Absolute Deviation (MAD)0.11082541
Skewness1.2667517
Sum10952.011
Variance0.019245408
MonotonicityNot monotonic
2023-12-12T19:29:19.797580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.22163512 5
 
1.5%
33.22210756 3
 
0.9%
33.41445068 2
 
0.6%
33.40869091 2
 
0.6%
33.30163544 2
 
0.6%
33.3024126 2
 
0.6%
33.34985428 2
 
0.6%
33.40992892 2
 
0.6%
33.22137999 2
 
0.6%
33.22164544 2
 
0.6%
Other values (297) 304
92.7%
ValueCountFrequency (%)
33.11651153 1
0.3%
33.11705106 1
0.3%
33.16663766 1
0.3%
33.16739463 1
0.3%
33.16801412 1
0.3%
33.2145226 1
0.3%
33.21864335 1
0.3%
33.22055471 1
0.3%
33.22123758 1
0.3%
33.2213668 1
0.3%
ValueCountFrequency (%)
33.96393131 1
0.3%
33.96373896 1
0.3%
33.96167777 1
0.3%
33.96056206 1
0.3%
33.95715114 1
0.3%
33.94618609 1
0.3%
33.94122853 1
0.3%
33.55455648 1
0.3%
33.5545434 1
0.3%
33.55453664 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct304
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.48976
Minimum126.16412
Maximum126.95315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T19:29:19.987633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16412
5-th percentile126.2341
Q1126.26473
median126.36656
Q3126.7197
95-th percentile126.91195
Maximum126.95315
Range0.7890383
Interquartile range (IQR)0.45496397

Descriptive statistics

Standard deviation0.25064151
Coefficient of variation (CV)0.0019815162
Kurtosis-1.4607502
Mean126.48976
Median Absolute Deviation (MAD)0.1144895
Skewness0.43004636
Sum41488.642
Variance0.062821168
MonotonicityNot monotonic
2023-12-12T19:29:20.169509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.2537459 5
 
1.5%
126.2539698 3
 
0.9%
126.2667139 2
 
0.6%
126.8566191 2
 
0.6%
126.1828018 2
 
0.6%
126.2651853 2
 
0.6%
126.265478 2
 
0.6%
126.179816 2
 
0.6%
126.1794034 2
 
0.6%
126.2640512 2
 
0.6%
Other values (294) 304
92.7%
ValueCountFrequency (%)
126.1641156 1
0.3%
126.1684794 1
0.3%
126.1742485 1
0.3%
126.1790751 1
0.3%
126.1794034 2
0.6%
126.1797038 1
0.3%
126.1797924 1
0.3%
126.179816 2
0.6%
126.1828018 2
0.6%
126.1829899 1
0.3%
ValueCountFrequency (%)
126.9531539 1
0.3%
126.9523449 1
0.3%
126.9343378 1
0.3%
126.9332951 1
0.3%
126.9300854 1
0.3%
126.9158789 1
0.3%
126.915753 1
0.3%
126.9151322 1
0.3%
126.9150698 1
0.3%
126.9150239 1
0.3%

인허가일자
Text

MISSING 

Distinct233
Distinct (%)90.0%
Missing69
Missing (%)21.0%
Memory size2.7 KiB
2023-12-12T19:29:20.504454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.965251
Min length1

Characters and Unicode

Total characters2581
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

Unique218 ?
Unique (%)84.2%

Sample

1st row1990-03-07
2nd row2011-12-16
3rd row2022-07-19
4th row2013-03-15
5th row2018-09-17
ValueCountFrequency (%)
1985-10-02 8
 
3.1%
1985-12-28 4
 
1.6%
1986-07-01 3
 
1.2%
1984-10-02 3
 
1.2%
1984-10-04 3
 
1.2%
2014-12-31 2
 
0.8%
2021-09-16 2
 
0.8%
1986-07-09 2
 
0.8%
2008-03-05 2
 
0.8%
2003-10-04 2
 
0.8%
Other values (222) 227
88.0%
2023-12-12T19:29:21.002285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 610
23.6%
- 516
20.0%
1 415
16.1%
2 386
15.0%
9 162
 
6.3%
8 112
 
4.3%
7 84
 
3.3%
3 80
 
3.1%
6 78
 
3.0%
5 71
 
2.8%
Other values (2) 67
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2064
80.0%
Dash Punctuation 516
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 610
29.6%
1 415
20.1%
2 386
18.7%
9 162
 
7.8%
8 112
 
5.4%
7 84
 
4.1%
3 80
 
3.9%
6 78
 
3.8%
5 71
 
3.4%
4 66
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2581
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 610
23.6%
- 516
20.0%
1 415
16.1%
2 386
15.0%
9 162
 
6.3%
8 112
 
4.3%
7 84
 
3.3%
3 80
 
3.1%
6 78
 
3.0%
5 71
 
2.8%
Other values (2) 67
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 610
23.6%
- 516
20.0%
1 415
16.1%
2 386
15.0%
9 162
 
6.3%
8 112
 
4.3%
7 84
 
3.3%
3 80
 
3.1%
6 78
 
3.0%
5 71
 
2.8%
Other values (2) 67
 
2.6%

상세영업상태코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
13
327 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0060976
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 327
99.7%
<NA> 1
 
0.3%

Length

2023-12-12T19:29:21.206977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:21.329609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 327
99.7%
na 1
 
0.3%

상세영업상태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
영업중
320 
영업중
 
7
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0243902
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 320
97.6%
영업중 7
 
2.1%
<NA> 1
 
0.3%

Length

2023-12-12T19:29:21.459786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:29:21.610083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 327
99.7%
na 1
 
0.3%

소재지면적
Text

MISSING 

Distinct117
Distinct (%)97.5%
Missing208
Missing (%)63.4%
Memory size2.7 KiB
2023-12-12T19:29:21.959329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.6166667
Min length1

Characters and Unicode

Total characters554
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

Unique114 ?
Unique (%)95.0%

Sample

1st row330
2nd row377.72
3rd row204.22
4th row197
5th row134
ValueCountFrequency (%)
143.25 2
 
1.7%
139.15 2
 
1.7%
33 2
 
1.7%
203.09 1
 
0.8%
74.86 1
 
0.8%
506 1
 
0.8%
118.05 1
 
0.8%
158.68 1
 
0.8%
115 1
 
0.8%
148.3 1
 
0.8%
Other values (106) 106
89.1%
2023-12-12T19:29:22.477201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 89
16.1%
. 84
15.2%
2 79
14.3%
3 44
7.9%
5 44
7.9%
9 39
7.0%
4 38
6.9%
8 37
6.7%
6 36
6.5%
7 33
 
6.0%
Other values (2) 31
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 469
84.7%
Other Punctuation 84
 
15.2%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 89
19.0%
2 79
16.8%
3 44
9.4%
5 44
9.4%
9 39
8.3%
4 38
8.1%
8 37
7.9%
6 36
7.7%
7 33
 
7.0%
0 30
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 84
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 89
16.1%
. 84
15.2%
2 79
14.3%
3 44
7.9%
5 44
7.9%
9 39
7.0%
4 38
6.9%
8 37
6.7%
6 36
6.5%
7 33
 
6.0%
Other values (2) 31
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 89
16.1%
. 84
15.2%
2 79
14.3%
3 44
7.9%
5 44
7.9%
9 39
7.0%
4 38
6.9%
8 37
6.7%
6 36
6.5%
7 33
 
6.0%
Other values (2) 31
 
5.6%

휴무일
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
일요일
75 
연중무휴
64 
일요일+공휴일
56 
토요일+일요일+공휴일
54 
토요일+일요일
46 
Other values (13)
33 

Length

Max length23
Median length19
Mean length6.054878
Min length3

Unique

Unique11 ?
Unique (%)3.4%

Sample

1st row연중무휴
2nd row일요일+공휴일
3rd row일요일+공휴일
4th row일요일+공휴일
5th row토요일+일요일+공휴일

Common Values

ValueCountFrequency (%)
일요일 75
22.9%
연중무휴 64
19.5%
일요일+공휴일 56
17.1%
토요일+일요일+공휴일 54
16.5%
토요일+일요일 46
14.0%
공휴일 20
 
6.1%
<NA> 2
 
0.6%
매월2,4번째토요일+일요일+공휴일 1
 
0.3%
수요일+토요일 1
 
0.3%
목요일+일요일+매월2번째토요일 1
 
0.3%
Other values (8) 8
 
2.4%

Length

2023-12-12T19:29:22.646446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일요일 76
23.2%
연중무휴 64
19.5%
일요일+공휴일 56
17.1%
토요일+일요일+공휴일 54
16.5%
토요일+일요일 46
14.0%
공휴일 20
 
6.1%
na 2
 
0.6%
수요일+일요일 1
 
0.3%
토요일+공휴일 1
 
0.3%
일요일+매월2,4번째토요일+공휴일 1
 
0.3%
Other values (7) 7
 
2.1%

운영시간
Text

MISSING 

Distinct138
Distinct (%)42.6%
Missing4
Missing (%)1.2%
Memory size2.7 KiB
2023-12-12T19:29:22.930974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length79
Mean length26.280864
Min length15

Characters and Unicode

Total characters8515
Distinct characters29
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)31.2%

Sample

1st row(평일+주말+공휴일)00:00~24:00
2nd row(평일)08:30~20:30+(토요일)08:30~12:00
3rd row(평일)08:00~18:30+(토요일)08:00~13:00
4th row(평일)08:00~18:30+(토요일)08:00~13:00
5th row(평일)09:00~18:30
ValueCountFrequency (%)
평일)09:00~18:00 71
21.8%
평일+주말+공휴일)00:00~24:00 30
 
9.2%
평일)09:00~18:00+(토요일)09:00~13:00 10
 
3.1%
평일)08:30~18:00+(토요일)08:30~13:00 8
 
2.5%
평일)08:00~18:00+(토요일)08:00~13:00 8
 
2.5%
평일)08:30~18:00+(토요일)08:30~12:30 6
 
1.8%
평일+주말)00:00~24:00 6
 
1.8%
평일)08:30~18:30+(토요일)08:30~13:00 4
 
1.2%
평일)09:00~18:30+(토요일)09:00~13:00 4
 
1.2%
평일)08:30~18:00 4
 
1.2%
Other values (129) 174
53.5%
2023-12-12T19:29:23.450553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2297
27.0%
: 1006
11.8%
일 608
 
7.1%
( 503
 
5.9%
) 503
 
5.9%
~ 503
 
5.9%
8 457
 
5.4%
1 452
 
5.3%
+ 346
 
4.1%
3 334
 
3.9%
Other values (19) 1506
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4024
47.3%
Other Letter 1629
19.1%
Other Punctuation 1006
 
11.8%
Math Symbol 849
 
10.0%
Open Punctuation 503
 
5.9%
Close Punctuation 503
 
5.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 608
37.3%
평 307
18.8%
요 244
15.0%
토 149
 
9.1%
주 71
 
4.4%
말 71
 
4.4%
휴 47
 
2.9%
공 47
 
2.9%
월 17
 
1.0%
화 17
 
1.0%
Other values (3) 51
 
3.1%
Decimal Number
ValueCountFrequency (%)
0 2297
57.1%
8 457
 
11.4%
1 452
 
11.2%
3 334
 
8.3%
9 215
 
5.3%
2 144
 
3.6%
7 60
 
1.5%
4 57
 
1.4%
5 5
 
0.1%
6 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 503
59.2%
+ 346
40.8%
Other Punctuation
ValueCountFrequency (%)
: 1006
100.0%
Open Punctuation
ValueCountFrequency (%)
( 503
100.0%
Close Punctuation
ValueCountFrequency (%)
) 503
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6886
80.9%
Hangul 1629
 
19.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2297
33.4%
: 1006
14.6%
( 503
 
7.3%
) 503
 
7.3%
~ 503
 
7.3%
8 457
 
6.6%
1 452
 
6.6%
+ 346
 
5.0%
3 334
 
4.9%
9 215
 
3.1%
Other values (6) 270
 
3.9%
Hangul
ValueCountFrequency (%)
일 608
37.3%
평 307
18.8%
요 244
15.0%
토 149
 
9.1%
주 71
 
4.4%
말 71
 
4.4%
휴 47
 
2.9%
공 47
 
2.9%
월 17
 
1.0%
화 17
 
1.0%
Other values (3) 51
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6886
80.9%
Hangul 1629
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2297
33.4%
: 1006
14.6%
( 503
 
7.3%
) 503
 
7.3%
~ 503
 
7.3%
8 457
 
6.6%
1 452
 
6.6%
+ 346
 
5.0%
3 334
 
4.9%
9 215
 
3.1%
Other values (6) 270
 
3.9%
Hangul
ValueCountFrequency (%)
일 608
37.3%
평 307
18.8%
요 244
15.0%
토 149
 
9.1%
주 71
 
4.4%
말 71
 
4.4%
휴 47
 
2.9%
공 47
 
2.9%
월 17
 
1.0%
화 17
 
1.0%
Other values (3) 51
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2023-12-12T19:29:23.641374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:29:23.759487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:29:13.287509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:29:13.104241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:29:13.385529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:29:13.194647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:29:23.862000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을명시군구명읍면동명행정리명안전시설유형위도경도상세영업상태명휴무일
마을명1.0001.0001.0001.0000.8240.9980.9971.0000.816
시군구명1.0001.0000.8551.0000.0000.6930.3970.1590.314
읍면동명1.0000.8551.0001.0000.6610.9770.9370.5970.589
행정리명1.0001.0001.0001.0000.8240.9980.9971.0000.816
안전시설유형0.8240.0000.6610.8241.0000.2440.1670.0000.501
위도0.9980.6930.9770.9980.2441.0000.6680.4670.444
경도0.9970.3970.9370.9970.1670.6681.0000.5060.441
상세영업상태명1.0000.1590.5971.0000.0000.4670.5061.0000.000
휴무일0.8160.3140.5890.8160.5010.4440.4410.0001.000
2023-12-12T19:29:24.010693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명안전시설유형상세영업상태코드읍면동명상세영업상태명휴무일
시군구명1.0000.0001.0000.6690.1050.175
안전시설유형0.0001.0001.0000.3180.0000.204
상세영업상태코드1.0001.0001.0001.0001.0001.000
읍면동명0.6690.3181.0001.0000.4630.242
상세영업상태명0.1050.0001.0000.4631.0000.000
휴무일0.1750.2041.0000.2420.0001.000
2023-12-12T19:29:24.116062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명읍면동명안전시설유형상세영업상태코드상세영업상태명휴무일
위도1.0000.4660.5560.7610.1191.0000.4970.214
경도0.4661.0000.2620.7660.0701.0000.5020.190
시군구명0.5560.2621.0000.6690.0001.0000.1050.175
읍면동명0.7610.7660.6691.0000.3181.0000.4630.242
안전시설유형0.1190.0700.0000.3181.0001.0000.0000.204
상세영업상태코드1.0001.0001.0001.0001.0001.0001.0001.000
상세영업상태명0.4970.5020.1050.4630.0001.0001.0000.000
휴무일0.2140.1900.1750.2420.2041.0000.0001.000

Missing values

2023-12-12T19:29:13.551973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:29:13.831381image/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.
2023-12-12T19:29:14.293154image/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

마을명시군구명읍면동명행정리명안전시설명안전시설유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명소재지면적휴무일운영시간데이터기준일자
0남원1리마을서귀포시남원읍남원1리남원파출소경찰서064-764-0112제주특별자치도 서귀포시 남원읍 태위로 702제주특별자치도 서귀포시 남원읍 남원리 81-133.279569126.721504<NA>13영업중<NA>연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
1남원1리마을서귀포시남원읍남원1리남원의원병원064-764-4156제주특별자치도 서귀포시 남원읍 태위로 636제주특별자치도 서귀포시 남원읍 남원리 134833.277811126.7146021990-03-0713영업중330일요일+공휴일(평일)08:30~20:30+(토요일)08:30~12:002022-09-30
2남원1리마을서귀포시남원읍남원1리남원고려의원병원064-764-6988제주특별자치도 서귀포시 남원읍 태위로 691제주특별자치도 서귀포시 남원읍 남원리 205-1933.2796126.720312011-12-1613영업중377.72일요일+공휴일(평일)08:00~18:30+(토요일)08:00~13:002022-09-30
3남원1리마을서귀포시남원읍남원1리드림통증의원병원064-764-7227제주특별자치도 서귀포시 남원읍 태위로 629제주특별자치도 서귀포시 남원읍 남원리 1339-233.278053126.714072022-07-1913영업중204.22일요일+공휴일(평일)08:00~18:30+(토요일)08:00~13:002022-09-30
4남원1리마을서귀포시남원읍남원1리우리들치과의원병원064-764-7528제주특별자치도 서귀포시 남원읍 태위로 687제주특별자치도 서귀포시 남원읍 남원리 100-233.279437126.7198732013-03-1513영업중197토요일+일요일+공휴일(평일)09:00~18:302022-09-30
5남원1리마을서귀포시남원읍남원1리동물병원도담도담병원064-764-7543제주특별자치도 서귀포시 남원읍 태위로723번길 31-11제주특별자치도 서귀포시 남원읍 남원리 214-733.281738126.720992018-09-1713영업중<NA>토요일+일요일+공휴일(평일)08:30~17:302022-09-30
6남원1리마을서귀포시남원읍남원1리김의신치과의원병원064-764-2820제주특별자치도 서귀포시 남원읍 태위로 665-1제주특별자치도 서귀포시 남원읍 남원리 116-1733.27892126.7177542000-04-2413영업중134일요일+공휴일(평일)09:00~18:00+(토요일)09:00~12:302022-09-30
7남원1리마을서귀포시남원읍남원1리돌담치과의원병원064-764-2275제주특별자치도 서귀포시 남원읍 태위로 684제주특별자치도 서귀포시 남원읍 남원리 99-333.279179126.7196372017-01-1313영업중118.8일요일+공휴일(평일)09:00~18:00+(토요일)09:00~13:002022-09-30
8남원1리마을서귀포시남원읍남원1리꽃사슴한의원병원064-764-7510제주특별자치도 서귀포시 남원읍 태위로 665-1제주특별자치도 서귀포시 남원읍 남원리 116-1733.278916126.7177542005-08-0213영업중161.65일요일+공휴일(평일)08:00~18:00+(토요일)08:00~13:002022-09-30
9남원1리마을서귀포시남원읍남원1리남원한의원병원064-764-9600제주특별자치도 서귀포시 남원읍 태위로 709제주특별자치도 서귀포시 남원읍 남원리 43-133.280102126.7221012011-04-0413영업중152.5일요일+공휴일(평일)08:30~18:00+(토요일)08:30~12:002022-09-30
마을명시군구명읍면동명행정리명안전시설명안전시설유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명소재지면적휴무일운영시간데이터기준일자
318한림2리마을제주시한림읍한림2리태안약국약국064-796-8050제주특별자치도 제주시 한림읍 한림중앙로 29제주특별자치도 제주시 한림읍 한림리 1198-1033.412133126.2651932002-04-2313영업중<NA><NA><NA>2022-09-30
319한림2리마을제주시한림읍한림2리동서약국약국064-796-2176제주특별자치도 제주시 한림읍 한림로 682제주특별자치도 제주시 한림읍 한림리 1303-1433.41554126.2651771983-08-0413영업중<NA>토요일+일요일+공휴일(평일)07:30~18:002022-09-30
320한림2리마을제주시한림읍한림2리달래약국약국064-796-6595제주특별자치도 제주시 한림읍 한림중앙로 71제주특별자치도 제주시 한림읍 한림리 915-633.408691126.2667142021-08-1313영업중<NA>토요일+일요일+공휴일(평일)08:30~18:302022-09-30
321협재리마을제주시한림읍협재리한서치안센터파출소064-796-3112제주특별자치도 제주시 한림읍 한림로 252제주특별자치도 제주시 한림읍 협재리 2697-333.388264126.234063<NA>13영업중<NA><NA><NA>2022-09-30
322월정리마을제주시구좌읍월정리월정온누리약국약국064-782-8388제주특별자치도 제주시 구좌읍 해맞이해안로 486제주특별자치도 제주시 구좌읍 월정리 33-1233.554537126.798722019-05-3113영업중<NA>연중무휴(평일+주말)10:00~18:002022-09-30
323대서리마을제주시추자면대서리추자한의원병원064-742-7555제주특별자치도 제주시 추자면 추자로 60제주특별자치도 제주시 추자면 대서리 16833.961678126.2938152009-09-1413영업중<NA>토요일+일요일(평일)08:30~17:302022-09-30
324대서리마을제주시추자면대서리추자약국약국064-742-9958제주특별자치도 제주시 추자면 추자로 20제주특별자치도 제주시 추자면 대서리 833.963739126.2969542001-02-2113영업중<NA>연중무휴(평일+주말+공휴일)09:00~21:002022-09-30
325대서리마을제주시추자면대서리추자파출소파출소064-742-8112제주특별자치도 제주시 추자면 대서3길 2제주특별자치도 제주시 추자면 대서리 1933.963931126.295908<NA>13영업중<NA>연중무휴(평일+주말)00:00~24:002022-09-30
326산양리마을제주시한경면산양리산양보건진료소보건소064-728-7325제주특별자치도 제주시 한경면 연명로 12제주특별자치도 제주시 한경면 청수리 3284-333.292824126.2341681985-10-0213영업중<NA>토요일+일요일+공휴일(평일)09:00~18:002022-09-30
327청수농촌체험휴양마을제주시한경면청수리청수보건진료소보건소064-728-7323제주특별자치도 제주시 한경면 청수로 50제주특별자치도 제주시 한경면 청수리 1572-1233.31779126.2479211986-07-0113영업중70토요일+일요일+공휴일(평일)09:00~18:002022-09-30