Overview

Dataset statistics

Number of variables17
Number of observations2451
Missing cells3932
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory332.8 KiB
Average record size in memory139.1 B

Variable types

Text7
Categorical7
Numeric2
DateTime1

Dataset

Description제주 마을관광 정보 데이터로 공공데이터 뉴딜 사업으로 구축된 데이터입니다. 제주도 마을별 시장, 편의점, 마트, 주유소, 공영주차장, 전기차충전소, 클린하우스, 은행, 우체국, 쇼핑시설 등 편의시설에 대한 데이터로 편의시설의 유형과 주소, 위치 등의 항목을 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15109369/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
읍면동명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
상세영업상태명 is highly overall correlated with 편의시설유형 and 1 other fieldsHigh correlation
상세영업상태코드 is highly overall correlated with 편의시설유형 and 1 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시군구명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동명High correlation
편의시설유형 is highly overall correlated with 상세영업상태코드 and 1 other fieldsHigh correlation
휴무일 is highly imbalanced (80.1%)Imbalance
소재지전화번호 has 903 (36.8%) missing valuesMissing
소재지도로명주소 has 860 (35.1%) missing valuesMissing
인허가일자 has 1942 (79.2%) missing valuesMissing
운영시간 has 226 (9.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:48:10.841976
Analysis finished2023-12-12 19:48:14.329755
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을명
Text

Distinct173
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2023-12-13T04:48:14.606296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.5197878
Min length4

Characters and Unicode

Total characters13529
Distinct characters139
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

Unique4 ?
Unique (%)0.2%

Sample

1st row남원1리마을
2nd row남원1리마을
3rd row남원1리마을
4th row남원1리마을
5th row남원1리마을
ValueCountFrequency (%)
함덕리마을 77
 
3.1%
조천리마을 57
 
2.3%
김녕리마을 56
 
2.3%
표선리마을 53
 
2.2%
고성리마을 50
 
2.0%
세화마을 48
 
2.0%
남원1리마을 47
 
1.9%
사계리어촌체험휴양마을 47
 
1.9%
평대리마을 44
 
1.8%
화순리마을 36
 
1.5%
Other values (162) 1936
79.0%
2023-12-13T04:48:15.149614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 2453
18.1%
을 2451
18.1%
리 2167
16.0%
1 356
 
2.6%
2 241
 
1.8%
하 198
 
1.5%
성 178
 
1.3%
신 176
 
1.3%
산 165
 
1.2%
수 141
 
1.0%
Other values (129) 5003
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12767
94.4%
Decimal Number 669
 
4.9%
Space Separator 93
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 2453
19.2%
을 2451
19.2%
리 2167
17.0%
하 198
 
1.6%
성 178
 
1.4%
신 176
 
1.4%
산 165
 
1.3%
수 141
 
1.1%
촌 134
 
1.0%
광 132
 
1.0%
Other values (125) 4572
35.8%
Decimal Number
ValueCountFrequency (%)
1 356
53.2%
2 241
36.0%
3 72
 
10.8%
Space Separator
ValueCountFrequency (%)
93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12767
94.4%
Common 762
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 2453
19.2%
을 2451
19.2%
리 2167
17.0%
하 198
 
1.6%
성 178
 
1.4%
신 176
 
1.4%
산 165
 
1.3%
수 141
 
1.1%
촌 134
 
1.0%
광 132
 
1.0%
Other values (125) 4572
35.8%
Common
ValueCountFrequency (%)
1 356
46.7%
2 241
31.6%
93
 
12.2%
3 72
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12767
94.4%
ASCII 762
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 2453
19.2%
을 2451
19.2%
리 2167
17.0%
하 198
 
1.6%
성 178
 
1.4%
신 176
 
1.4%
산 165
 
1.3%
수 141
 
1.1%
촌 134
 
1.0%
광 132
 
1.0%
Other values (125) 4572
35.8%
ASCII
ValueCountFrequency (%)
1 356
46.7%
2 241
31.6%
93
 
12.2%
3 72
 
9.4%

시군구명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
제주시
1385 
서귀포시
1066 

Length

Max length4
Median length3
Mean length3.4349245
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 1385
56.5%
서귀포시 1066
43.5%

Length

2023-12-13T04:48:15.285284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:48:15.387101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 1385
56.5%
서귀포시 1066
43.5%

읍면동명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
애월읍
295 
조천읍
271 
구좌읍
262 
성산읍
244 
안덕면
230 
Other values (14)
1149 

Length

Max length4
Median length3
Mean length3.0750714
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
애월읍 295
12.0%
조천읍 271
11.1%
구좌읍 262
10.7%
성산읍 244
10.0%
안덕면 230
9.4%
한림읍 209
8.5%
한경면 191
7.8%
대정읍 187
7.6%
표선면 138
5.6%
남원읍 108
 
4.4%
Other values (9) 316
12.9%

Length

2023-12-13T04:48:15.621807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 295
12.0%
구좌읍 278
11.3%
조천읍 271
11.1%
한림읍 270
11.0%
성산읍 244
10.0%
안덕면 230
9.4%
한경면 207
8.4%
대정읍 201
8.2%
남원읍 185
7.5%
표선면 138
5.6%
Other values (4) 132
5.4%

행정리명
Text

Distinct171
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2023-12-13T04:48:16.233578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2774378
Min length2

Characters and Unicode

Total characters8033
Distinct characters120
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

Unique2 ?
Unique (%)0.1%

Sample

1st row남원1리
2nd row남원1리
3rd row남원1리
4th row남원1리
5th row남원1리
ValueCountFrequency (%)
함덕리 77
 
3.1%
없음 68
 
2.8%
조천리 57
 
2.3%
김녕리 56
 
2.3%
표선리 53
 
2.2%
고성리 50
 
2.0%
세화리 48
 
2.0%
남원1리 47
 
1.9%
사계리 47
 
1.9%
평대리 44
 
1.8%
Other values (161) 1904
77.7%
2023-12-13T04:48:16.803583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2383
29.7%
1 356
 
4.4%
2 261
 
3.2%
신 193
 
2.4%
성 178
 
2.2%
산 165
 
2.1%
하 163
 
2.0%
광 132
 
1.6%
고 130
 
1.6%
덕 122
 
1.5%
Other values (110) 3950
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7344
91.4%
Decimal Number 689
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2383
32.4%
신 193
 
2.6%
성 178
 
2.4%
산 165
 
2.2%
하 163
 
2.2%
광 132
 
1.8%
고 130
 
1.8%
덕 122
 
1.7%
조 118
 
1.6%
천 112
 
1.5%
Other values (107) 3648
49.7%
Decimal Number
ValueCountFrequency (%)
1 356
51.7%
2 261
37.9%
3 72
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7344
91.4%
Common 689
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2383
32.4%
신 193
 
2.6%
성 178
 
2.4%
산 165
 
2.2%
하 163
 
2.2%
광 132
 
1.8%
고 130
 
1.8%
덕 122
 
1.7%
조 118
 
1.6%
천 112
 
1.5%
Other values (107) 3648
49.7%
Common
ValueCountFrequency (%)
1 356
51.7%
2 261
37.9%
3 72
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7344
91.4%
ASCII 689
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2383
32.4%
신 193
 
2.6%
성 178
 
2.4%
산 165
 
2.2%
하 163
 
2.2%
광 132
 
1.8%
고 130
 
1.8%
덕 122
 
1.7%
조 118
 
1.6%
천 112
 
1.5%
Other values (107) 3648
49.7%
ASCII
ValueCountFrequency (%)
1 356
51.7%
2 261
37.9%
3 72
 
10.4%

편의시설명
Text

Distinct2430
Distinct (%)99.2%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
2023-12-13T04:48:17.189215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length11.734286
Min length3

Characters and Unicode

Total characters28749
Distinct characters652
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2416 ?
Unique (%)98.6%

Sample

1st row남제주할인마트
2nd row나들가게평화슈퍼
3rd row남원슈퍼
4th row제주남원우체국
5th row제주은행 남원출장소
ValueCountFrequency (%)
전기차충전소 725
 
13.8%
cu 169
 
3.2%
클린하우스 147
 
2.8%
세븐일레븐 108
 
2.1%
앞 104
 
2.0%
gs25 97
 
1.8%
옆 83
 
1.6%
주차장 61
 
1.2%
공영주차장 37
 
0.7%
입구 35
 
0.7%
Other values (2718) 3702
70.3%
2023-12-13T04:48:17.761184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2828
 
9.8%
전 1515
 
5.3%
소 1028
 
3.6%
차 997
 
3.5%
기 782
 
2.7%
주 748
 
2.6%
충 742
 
2.6%
점 598
 
2.1%
리 541
 
1.9%
제 407
 
1.4%
Other values (642) 18563
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23732
82.5%
Space Separator 2828
 
9.8%
Decimal Number 1012
 
3.5%
Uppercase Letter 748
 
2.6%
Dash Punctuation 122
 
0.4%
Open Punctuation 118
 
0.4%
Close Punctuation 117
 
0.4%
Lowercase Letter 53
 
0.2%
Other Punctuation 13
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1515
 
6.4%
소 1028
 
4.3%
차 997
 
4.2%
기 782
 
3.3%
주 748
 
3.2%
충 742
 
3.1%
점 598
 
2.5%
리 541
 
2.3%
제 407
 
1.7%
장 377
 
1.6%
Other values (591) 15997
67.4%
Uppercase Letter
ValueCountFrequency (%)
C 197
26.3%
U 181
24.2%
S 128
17.1%
G 103
13.8%
L 22
 
2.9%
I 21
 
2.8%
O 20
 
2.7%
H 15
 
2.0%
K 14
 
1.9%
N 12
 
1.6%
Other values (10) 35
 
4.7%
Decimal Number
ValueCountFrequency (%)
2 253
25.0%
5 177
17.5%
0 173
17.1%
1 156
15.4%
4 64
 
6.3%
3 63
 
6.2%
9 40
 
4.0%
6 33
 
3.3%
7 30
 
3.0%
8 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
s 12
22.6%
g 11
20.8%
c 10
18.9%
u 10
18.9%
m 6
11.3%
k 1
 
1.9%
p 1
 
1.9%
i 1
 
1.9%
t 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 4
30.8%
. 3
23.1%
" 2
15.4%
& 2
15.4%
/ 1
 
7.7%
: 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2828
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23733
82.6%
Common 4215
 
14.7%
Latin 801
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1515
 
6.4%
소 1028
 
4.3%
차 997
 
4.2%
기 782
 
3.3%
주 748
 
3.2%
충 742
 
3.1%
점 598
 
2.5%
리 541
 
2.3%
제 407
 
1.7%
장 377
 
1.6%
Other values (592) 15998
67.4%
Latin
ValueCountFrequency (%)
C 197
24.6%
U 181
22.6%
S 128
16.0%
G 103
12.9%
L 22
 
2.7%
I 21
 
2.6%
O 20
 
2.5%
H 15
 
1.9%
K 14
 
1.7%
s 12
 
1.5%
Other values (19) 88
11.0%
Common
ValueCountFrequency (%)
2828
67.1%
2 253
 
6.0%
5 177
 
4.2%
0 173
 
4.1%
1 156
 
3.7%
- 122
 
2.9%
( 118
 
2.8%
) 117
 
2.8%
4 64
 
1.5%
3 63
 
1.5%
Other values (11) 144
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23732
82.5%
ASCII 5016
 
17.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2828
56.4%
2 253
 
5.0%
C 197
 
3.9%
U 181
 
3.6%
5 177
 
3.5%
0 173
 
3.4%
1 156
 
3.1%
S 128
 
2.6%
- 122
 
2.4%
( 118
 
2.4%
Other values (40) 683
 
13.6%
Hangul
ValueCountFrequency (%)
전 1515
 
6.4%
소 1028
 
4.3%
차 997
 
4.2%
기 782
 
3.3%
주 748
 
3.2%
충 742
 
3.1%
점 598
 
2.5%
리 541
 
2.3%
제 407
 
1.7%
장 377
 
1.6%
Other values (591) 15997
67.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

편의시설유형
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
전기차충전소
769 
클린하우스
698 
편의점
438 
주차장
151 
마트
129 
Other values (20)
266 

Length

Max length7
Median length6
Mean length4.4736842
Min length2

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row마트
2nd row마트
3rd row마트
4th row우체국
5th row은행

Common Values

ValueCountFrequency (%)
전기차충전소 769
31.4%
클린하우스 698
28.5%
편의점 438
17.9%
주차장 151
 
6.2%
마트 129
 
5.3%
은행 79
 
3.2%
주유소 70
 
2.9%
화장실 28
 
1.1%
클린하우스 17
 
0.7%
우체국 17
 
0.7%
Other values (15) 55
 
2.2%

Length

2023-12-13T04:48:18.007842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전기차충전소 775
31.6%
클린하우스 715
29.2%
편의점 443
18.1%
주차장 152
 
6.2%
마트 129
 
5.3%
은행 80
 
3.3%
주유소 70
 
2.9%
화장실 28
 
1.1%
우체국 19
 
0.8%
쇼핑시설 8
 
0.3%
Other values (9) 32
 
1.3%

소재지전화번호
Text

MISSING 

Distinct598
Distinct (%)38.6%
Missing903
Missing (%)36.8%
Memory size19.3 KiB
2023-12-13T04:48:18.312582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.637597
Min length1

Characters and Unicode

Total characters16467
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique554 ?
Unique (%)35.8%

Sample

1st row064-764-7557
2nd row064-764-4244
3rd row064-764-4964
4th row064-764-1117
5th row064-764-2121
ValueCountFrequency (%)
064-728-7742 121
 
7.9%
1670-2690 120
 
7.8%
1899-8852 104
 
6.8%
1833-8017 99
 
6.5%
1544-4279 73
 
4.8%
1600-4047 69
 
4.5%
064-760-3201 49
 
3.2%
1522-1782 46
 
3.0%
1661-9408 42
 
2.7%
064-760-4165 27
 
1.8%
Other values (586) 781
51.0%
2023-12-13T04:48:18.871229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2388
14.5%
0 2206
13.4%
7 1840
11.2%
4 1785
10.8%
6 1748
10.6%
1 1398
8.5%
2 1309
7.9%
8 1250
7.6%
9 967
5.9%
3 836
 
5.1%
Other values (3) 740
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14060
85.4%
Dash Punctuation 2388
 
14.5%
Space Separator 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2206
15.7%
7 1840
13.1%
4 1785
12.7%
6 1748
12.4%
1 1398
9.9%
2 1309
9.3%
8 1250
8.9%
9 967
6.9%
3 836
 
5.9%
5 721
 
5.1%
Space Separator
ValueCountFrequency (%)
18
94.7%
  1
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 2388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16467
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2388
14.5%
0 2206
13.4%
7 1840
11.2%
4 1785
10.8%
6 1748
10.6%
1 1398
8.5%
2 1309
7.9%
8 1250
7.6%
9 967
5.9%
3 836
 
5.1%
Other values (3) 740
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16466
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2388
14.5%
0 2206
13.4%
7 1840
11.2%
4 1785
10.8%
6 1748
10.6%
1 1398
8.5%
2 1309
7.9%
8 1250
7.6%
9 967
5.9%
3 836
 
5.1%
Other values (2) 739
 
4.5%
None
ValueCountFrequency (%)
  1
100.0%

소재지도로명주소
Text

MISSING 

Distinct1468
Distinct (%)92.3%
Missing860
Missing (%)35.1%
Memory size19.3 KiB
2023-12-13T04:48:19.415617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length25.659334
Min length19

Characters and Unicode

Total characters40824
Distinct characters290
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

Unique1370 ?
Unique (%)86.1%

Sample

1st row제주특별자치도 서귀포시 남원읍 태위로 662
2nd row제주특별자치도 서귀포시 남원읍 태위로689번길 7
3rd row제주특별자치도 서귀포시 남원읍 태위로 631-1
4th row제주특별자치도 서귀포시 남원읍 태위로 632
5th row제주특별자치도 서귀포시 남원읍 태위로 701
ValueCountFrequency (%)
제주특별자치도 1592
19.6%
제주시 858
 
10.5%
서귀포시 733
 
9.0%
애월읍 199
 
2.4%
성산읍 191
 
2.3%
안덕면 174
 
2.1%
한림읍 170
 
2.1%
구좌읍 164
 
2.0%
조천읍 162
 
2.0%
한경면 133
 
1.6%
Other values (1505) 3766
46.3%
2023-12-13T04:48:20.172379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6580
 
16.1%
주 2651
 
6.5%
제 2466
 
6.0%
도 1649
 
4.0%
자 1630
 
4.0%
시 1617
 
4.0%
치 1597
 
3.9%
별 1592
 
3.9%
특 1592
 
3.9%
로 1389
 
3.4%
Other values (280) 18061
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28519
69.9%
Space Separator 6580
 
16.1%
Decimal Number 5372
 
13.2%
Dash Punctuation 256
 
0.6%
Open Punctuation 39
 
0.1%
Close Punctuation 39
 
0.1%
Other Punctuation 17
 
< 0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2651
 
9.3%
제 2466
 
8.6%
도 1649
 
5.8%
자 1630
 
5.7%
시 1617
 
5.7%
치 1597
 
5.6%
별 1592
 
5.6%
특 1592
 
5.6%
로 1389
 
4.9%
읍 1128
 
4.0%
Other values (263) 11208
39.3%
Decimal Number
ValueCountFrequency (%)
1 1038
19.3%
2 786
14.6%
3 565
10.5%
4 539
10.0%
5 495
9.2%
6 492
9.2%
0 386
 
7.2%
7 385
 
7.2%
8 363
 
6.8%
9 323
 
6.0%
Space Separator
ValueCountFrequency (%)
6580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28519
69.9%
Common 12304
30.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2651
 
9.3%
제 2466
 
8.6%
도 1649
 
5.8%
자 1630
 
5.7%
시 1617
 
5.7%
치 1597
 
5.6%
별 1592
 
5.6%
특 1592
 
5.6%
로 1389
 
4.9%
읍 1128
 
4.0%
Other values (263) 11208
39.3%
Common
ValueCountFrequency (%)
6580
53.5%
1 1038
 
8.4%
2 786
 
6.4%
3 565
 
4.6%
4 539
 
4.4%
5 495
 
4.0%
6 492
 
4.0%
0 386
 
3.1%
7 385
 
3.1%
8 363
 
3.0%
Other values (6) 675
 
5.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28519
69.9%
ASCII 12305
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6580
53.5%
1 1038
 
8.4%
2 786
 
6.4%
3 565
 
4.6%
4 539
 
4.4%
5 495
 
4.0%
6 492
 
4.0%
0 386
 
3.1%
7 385
 
3.1%
8 363
 
3.0%
Other values (7) 676
 
5.5%
Hangul
ValueCountFrequency (%)
주 2651
 
9.3%
제 2466
 
8.6%
도 1649
 
5.8%
자 1630
 
5.7%
시 1617
 
5.7%
치 1597
 
5.6%
별 1592
 
5.6%
특 1592
 
5.6%
로 1389
 
4.9%
읍 1128
 
4.0%
Other values (263) 11208
39.3%

소재지지번주소
Text

Distinct2241
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2023-12-13T04:48:20.722563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length25.49694
Min length16

Characters and Unicode

Total characters62493
Distinct characters167
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2072 ?
Unique (%)84.5%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원리 113-7
2nd row제주특별자치도 서귀포시 남원읍 남원리 203-6
3rd row제주특별자치도 서귀포시 남원읍 남원리 1339-6
4th row제주특별자치도 서귀포시 남원읍 남원리 1349-1
5th row제주특별자치도 서귀포시 남원읍 남원리 209-3
ValueCountFrequency (%)
제주특별자치도 2451
20.0%
제주시 1385
 
11.3%
서귀포시 1065
 
8.7%
애월읍 295
 
2.4%
구좌읍 278
 
2.3%
조천읍 271
 
2.2%
한림읍 264
 
2.2%
성산읍 243
 
2.0%
안덕면 230
 
1.9%
한경면 208
 
1.7%
Other values (2277) 5553
45.4%
2023-12-13T04:48:21.448750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9839
 
15.7%
주 3846
 
6.2%
제 3836
 
6.1%
도 2535
 
4.1%
시 2487
 
4.0%
자 2475
 
4.0%
별 2451
 
3.9%
치 2451
 
3.9%
특 2451
 
3.9%
리 2381
 
3.8%
Other values (157) 27741
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40249
64.4%
Decimal Number 10650
 
17.0%
Space Separator 9839
 
15.7%
Dash Punctuation 1745
 
2.8%
Open Punctuation 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3846
 
9.6%
제 3836
 
9.5%
도 2535
 
6.3%
시 2487
 
6.2%
자 2475
 
6.1%
별 2451
 
6.1%
치 2451
 
6.1%
특 2451
 
6.1%
리 2381
 
5.9%
읍 1780
 
4.4%
Other values (141) 13556
33.7%
Decimal Number
ValueCountFrequency (%)
1 2355
22.1%
2 1567
14.7%
3 1145
10.8%
4 1025
9.6%
5 850
 
8.0%
6 806
 
7.6%
0 746
 
7.0%
8 736
 
6.9%
7 727
 
6.8%
9 693
 
6.5%
Space Separator
ValueCountFrequency (%)
9839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1745
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40249
64.4%
Common 22244
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3846
 
9.6%
제 3836
 
9.5%
도 2535
 
6.3%
시 2487
 
6.2%
자 2475
 
6.1%
별 2451
 
6.1%
치 2451
 
6.1%
특 2451
 
6.1%
리 2381
 
5.9%
읍 1780
 
4.4%
Other values (141) 13556
33.7%
Common
ValueCountFrequency (%)
9839
44.2%
1 2355
 
10.6%
- 1745
 
7.8%
2 1567
 
7.0%
3 1145
 
5.1%
4 1025
 
4.6%
5 850
 
3.8%
6 806
 
3.6%
0 746
 
3.4%
8 736
 
3.3%
Other values (6) 1430
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40249
64.4%
ASCII 22244
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9839
44.2%
1 2355
 
10.6%
- 1745
 
7.8%
2 1567
 
7.0%
3 1145
 
5.1%
4 1025
 
4.6%
5 850
 
3.8%
6 806
 
3.6%
0 746
 
3.4%
8 736
 
3.3%
Other values (6) 1430
 
6.4%
Hangul
ValueCountFrequency (%)
주 3846
 
9.6%
제 3836
 
9.5%
도 2535
 
6.3%
시 2487
 
6.2%
자 2475
 
6.1%
별 2451
 
6.1%
치 2451
 
6.1%
특 2451
 
6.1%
리 2381
 
5.9%
읍 1780
 
4.4%
Other values (141) 13556
33.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct2444
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.397594
Minimum33.118253
Maximum33.963935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-13T04:48:21.668603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.118253
5-th percentile33.233563
Q133.301167
median33.406072
Q333.475837
95-th percentile33.546356
Maximum33.963935
Range0.8456823
Interquartile range (IQR)0.17467073

Descriptive statistics

Standard deviation0.11648159
Coefficient of variation (CV)0.0034877239
Kurtosis3.1727614
Mean33.397594
Median Absolute Deviation (MAD)0.09258364
Skewness0.907601
Sum81857.503
Variance0.01356796
MonotonicityNot monotonic
2023-12-13T04:48:21.906924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.38489104 2
 
0.1%
33.29052337 2
 
0.1%
33.28432031 2
 
0.1%
33.43111406 2
 
0.1%
33.32822541 2
 
0.1%
33.27887642 2
 
0.1%
33.52467461 2
 
0.1%
33.27844616 1
 
< 0.1%
33.48347181 1
 
< 0.1%
33.4802303 1
 
< 0.1%
Other values (2434) 2434
99.3%
ValueCountFrequency (%)
33.11825306 1
< 0.1%
33.11988787 1
< 0.1%
33.16633372 1
< 0.1%
33.17022205 1
< 0.1%
33.17418633 1
< 0.1%
33.1742321 1
< 0.1%
33.17424061 1
< 0.1%
33.20491182 1
< 0.1%
33.20597486 1
< 0.1%
33.20615264 1
< 0.1%
ValueCountFrequency (%)
33.96393536 1
< 0.1%
33.96385486 1
< 0.1%
33.96367397 1
< 0.1%
33.96365403 1
< 0.1%
33.96341148 1
< 0.1%
33.96291367 1
< 0.1%
33.96265745 1
< 0.1%
33.96255606 1
< 0.1%
33.96247103 1
< 0.1%
33.96142088 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct2438
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.53089
Minimum126.16326
Maximum126.96878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.7 KiB
2023-12-13T04:48:22.118865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16326
5-th percentile126.19773
Q1126.2834
median126.44436
Q3126.7713
95-th percentile126.91468
Maximum126.96878
Range0.8055207
Interquartile range (IQR)0.4879017

Descriptive statistics

Standard deviation0.25480993
Coefficient of variation (CV)0.0020138161
Kurtosis-1.5447209
Mean126.53089
Median Absolute Deviation (MAD)0.2096577
Skewness0.16413791
Sum310127.2
Variance0.064928102
MonotonicityNot monotonic
2023-12-13T04:48:22.374365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6186252 2
 
0.1%
126.7213156 2
 
0.1%
126.264786 2
 
0.1%
126.3974239 2
 
0.1%
126.2601402 2
 
0.1%
126.3795538 2
 
0.1%
126.1931896 2
 
0.1%
126.6199848 2
 
0.1%
126.8561298 2
 
0.1%
126.7214459 2
 
0.1%
Other values (2428) 2431
99.2%
ValueCountFrequency (%)
126.1632623 1
< 0.1%
126.1633349 1
< 0.1%
126.1636676 1
< 0.1%
126.1637801 1
< 0.1%
126.164029 1
< 0.1%
126.1641391 1
< 0.1%
126.1642139 1
< 0.1%
126.1644683 1
< 0.1%
126.1647656 1
< 0.1%
126.1650504 1
< 0.1%
ValueCountFrequency (%)
126.968783 1
< 0.1%
126.9684746 1
< 0.1%
126.966819 1
< 0.1%
126.9646481 1
< 0.1%
126.9643375 1
< 0.1%
126.963016 1
< 0.1%
126.96015 1
< 0.1%
126.959817 1
< 0.1%
126.959634 1
< 0.1%
126.9575253 1
< 0.1%

인허가일자
Date

MISSING 

Distinct462
Distinct (%)90.8%
Missing1942
Missing (%)79.2%
Memory size19.3 KiB
Minimum1969-09-04 00:00:00
Maximum2022-08-22 00:00:00
2023-12-13T04:48:22.626859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:48:22.824817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
18
1667 
13
783 
2
 
1

Length

Max length2
Median length2
Mean length1.999592
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
18 1667
68.0%
13 783
31.9%
2 1
 
< 0.1%

Length

2023-12-13T04:48:23.045257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:48:23.212789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 1667
68.0%
13 783
31.9%
2 1
 
< 0.1%

상세영업상태명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
사용중
1667 
영업중
783 
휴업
 
1

Length

Max length3
Median length3
Mean length2.999592
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 1667
68.0%
영업중 783
31.9%
휴업 1
 
< 0.1%

Length

2023-12-13T04:48:23.363476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:48:23.499663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 1667
68.0%
영업중 783
31.9%
휴업 1
 
< 0.1%

휴무일
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
연중무휴
2109 
<NA>
 
174
토요일+일요일+공휴일
 
73
토요일+일요일
 
47
일요일+공휴일
 
12
Other values (18)
 
36

Length

Max length15
Median length4
Mean length4.3002856
Min length2

Unique

Unique11 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 2109
86.0%
<NA> 174
 
7.1%
토요일+일요일+공휴일 73
 
3.0%
토요일+일요일 47
 
1.9%
일요일+공휴일 12
 
0.5%
일요일 8
 
0.3%
월요일 4
 
0.2%
공휴일 4
 
0.2%
월요일+화요일 3
 
0.1%
화요일 2
 
0.1%
Other values (13) 15
 
0.6%

Length

2023-12-13T04:48:23.645109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 2109
86.0%
na 174
 
7.1%
토요일+일요일+공휴일 73
 
3.0%
토요일+일요일 47
 
1.9%
일요일+공휴일 12
 
0.5%
일요일 8
 
0.3%
월요일 4
 
0.2%
공휴일 4
 
0.2%
월요일+화요일 3
 
0.1%
끝자리가4,9일제외휴무 2
 
0.1%
Other values (13) 15
 
0.6%

운영시간
Text

MISSING 

Distinct158
Distinct (%)7.1%
Missing226
Missing (%)9.2%
Memory size19.3 KiB
2023-12-13T04:48:23.967948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length22
Mean length21.118652
Min length11

Characters and Unicode

Total characters46989
Distinct characters30
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)4.5%

Sample

1st row(평일+주말+공휴일)06:00~23:00
2nd row(평일+주말+공휴일)08:00~22:00
3rd row(평일+주말+공휴일)07:00~23:00
4th row(평일)09:00~18:00
5th row(평일)09:30~15:30
ValueCountFrequency (%)
평일+주말+공휴일)00:00~24:00 955
42.9%
평일+주말+공휴일)15:00~04:00 593
26.7%
평일+주말)00:00~24:00 132
 
5.9%
평일+주말)15:00~04:00 104
 
4.7%
평일)09:00~16:00 52
 
2.3%
평일)09:00~18:00 35
 
1.6%
평일+주말+공휴일)09:00~18:00 31
 
1.4%
평일+주말+공휴일)06:00~01:00 14
 
0.6%
평일+주말+공휴일)06:00~24:00 13
 
0.6%
평일+주말+공휴일)07:00~22:00 12
 
0.5%
Other values (148) 284
 
12.8%
2023-12-13T04:48:24.626018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12195
26.0%
: 4466
 
9.5%
일 4035
 
8.6%
+ 3903
 
8.3%
~ 2233
 
4.8%
( 2230
 
4.7%
) 2230
 
4.7%
평 2223
 
4.7%
주 2087
 
4.4%
말 2087
 
4.4%
Other values (20) 9300
19.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17864
38.0%
Other Letter 14063
29.9%
Math Symbol 6136
 
13.1%
Other Punctuation 4466
 
9.5%
Open Punctuation 2230
 
4.7%
Close Punctuation 2230
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 4035
28.7%
평 2223
15.8%
주 2087
14.8%
말 2087
14.8%
공 1793
12.7%
휴 1793
12.7%
요 18
 
0.1%
토 17
 
0.1%
절 3
 
< 0.1%
기 2
 
< 0.1%
Other values (5) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 12195
68.3%
4 1830
 
10.2%
2 1371
 
7.7%
1 1016
 
5.7%
5 721
 
4.0%
9 201
 
1.1%
6 160
 
0.9%
8 152
 
0.9%
3 133
 
0.7%
7 85
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 3903
63.6%
~ 2233
36.4%
Other Punctuation
ValueCountFrequency (%)
: 4466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32926
70.1%
Hangul 14063
29.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12195
37.0%
: 4466
 
13.6%
+ 3903
 
11.9%
~ 2233
 
6.8%
( 2230
 
6.8%
) 2230
 
6.8%
4 1830
 
5.6%
2 1371
 
4.2%
1 1016
 
3.1%
5 721
 
2.2%
Other values (5) 731
 
2.2%
Hangul
ValueCountFrequency (%)
일 4035
28.7%
평 2223
15.8%
주 2087
14.8%
말 2087
14.8%
공 1793
12.7%
휴 1793
12.7%
요 18
 
0.1%
토 17
 
0.1%
절 3
 
< 0.1%
기 2
 
< 0.1%
Other values (5) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32926
70.1%
Hangul 14063
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12195
37.0%
: 4466
 
13.6%
+ 3903
 
11.9%
~ 2233
 
6.8%
( 2230
 
6.8%
) 2230
 
6.8%
4 1830
 
5.6%
2 1371
 
4.2%
1 1016
 
3.1%
5 721
 
2.2%
Other values (5) 731
 
2.2%
Hangul
ValueCountFrequency (%)
일 4035
28.7%
평 2223
15.8%
주 2087
14.8%
말 2087
14.8%
공 1793
12.7%
휴 1793
12.7%
요 18
 
0.1%
토 17
 
0.1%
절 3
 
< 0.1%
기 2
 
< 0.1%
Other values (5) 5
 
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.3 KiB
2022-09-30
2451 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-09-30
5th row2022-09-30

Common Values

ValueCountFrequency (%)
2022-09-30 2451
100.0%

Length

2023-12-13T04:48:24.836327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:48:24.986065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 2451
100.0%

Interactions

2023-12-13T04:48:13.099546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:48:12.829774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:48:13.234836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:48:12.946547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:48:25.077836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명읍면동명편의시설유형위도경도상세영업상태코드상세영업상태명휴무일
시군구명1.0001.0000.2510.6300.4330.0220.0220.140
읍면동명1.0001.0000.4890.9070.9390.1940.1940.236
편의시설유형0.2510.4891.0000.2360.3400.8620.8620.839
위도0.6300.9070.2361.0000.5930.0420.0420.000
경도0.4330.9390.3400.5931.0000.1220.1220.228
상세영업상태코드0.0220.1940.8620.0420.1221.0001.0000.687
상세영업상태명0.0220.1940.8620.0420.1221.0001.0000.687
휴무일0.1400.2360.8390.0000.2280.6870.6871.000
2023-12-13T04:48:25.275628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
편의시설유형읍면동명휴무일상세영업상태명상세영업상태코드시군구명
편의시설유형1.0000.1550.3850.6910.6910.216
읍면동명0.1551.0000.0700.1030.1030.997
휴무일0.3850.0701.0000.4740.4740.110
상세영업상태명0.6910.1030.4741.0001.0000.037
상세영업상태코드0.6910.1030.4741.0001.0000.037
시군구명0.2160.9970.1100.0370.0371.000
2023-12-13T04:48:25.448270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도시군구명읍면동명편의시설유형상세영업상태코드상세영업상태명휴무일
위도1.0000.4670.6790.7050.1020.0280.0280.000
경도0.4671.0000.3320.7270.1260.0730.0730.086
시군구명0.6790.3321.0000.9970.2160.0370.0370.110
읍면동명0.7050.7270.9971.0000.1550.1030.1030.070
편의시설유형0.1020.1260.2160.1551.0000.6910.6910.385
상세영업상태코드0.0280.0730.0370.1030.6911.0001.0000.474
상세영업상태명0.0280.0730.0370.1030.6911.0001.0000.474
휴무일0.0000.0860.1100.0700.3850.4740.4741.000

Missing values

2023-12-13T04:48:13.442538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:48:14.026664image/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.
2023-12-13T04:48:14.215489image/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

마을명시군구명읍면동명행정리명편의시설명편의시설유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명휴무일운영시간데이터기준일자
0남원1리마을서귀포시남원읍남원1리남제주할인마트마트064-764-7557제주특별자치도 서귀포시 남원읍 태위로 662제주특별자치도 서귀포시 남원읍 남원리 113-733.278446126.717439<NA>13영업중연중무휴(평일+주말+공휴일)06:00~23:002022-09-30
1남원1리마을서귀포시남원읍남원1리나들가게평화슈퍼마트064-764-4244제주특별자치도 서귀포시 남원읍 태위로689번길 7제주특별자치도 서귀포시 남원읍 남원리 203-633.280014126.719909<NA>13영업중연중무휴(평일+주말+공휴일)08:00~22:002022-09-30
2남원1리마을서귀포시남원읍남원1리남원슈퍼마트064-764-4964제주특별자치도 서귀포시 남원읍 태위로 631-1제주특별자치도 서귀포시 남원읍 남원리 1339-633.278058126.714244<NA>13영업중연중무휴(평일+주말+공휴일)07:00~23:002022-09-30
3남원1리마을서귀포시남원읍남원1리제주남원우체국우체국064-764-1117제주특별자치도 서귀포시 남원읍 태위로 632제주특별자치도 서귀포시 남원읍 남원리 1349-133.277697126.714208<NA>13영업중토요일+일요일+공휴일(평일)09:00~18:002022-09-30
4남원1리마을서귀포시남원읍남원1리제주은행 남원출장소은행064-764-2121제주특별자치도 서귀포시 남원읍 태위로 701제주특별자치도 서귀포시 남원읍 남원리 209-333.279943126.721347<NA>13영업중토요일+일요일+공휴일(평일)09:30~15:302022-09-30
5남원1리마을서귀포시남원읍남원1리제주남원동부새마을금고 본점은행064-764-8001제주특별자치도 서귀포시 남원읍 태위로 654제주특별자치도 서귀포시 남원읍 남원리 139-333.278286126.716511<NA>13영업중토요일+일요일+공휴일(평일)09:00~16:002022-09-30
6남원1리마을서귀포시남원읍남원1리서귀포수협 남원지점은행064-764-1818제주특별자치도 서귀포시 남원읍 태위로 698제주특별자치도 서귀포시 남원읍 남원리 97-533.279536126.721144<NA>13영업중토요일+일요일+공휴일(평일)09:00~16:002022-09-30
7남원1리마을서귀포시남원읍남원1리금호리조트 전기차충전소전기차충전소1670-2690제주특별자치도 서귀포시 남원읍 태위로 522-12제주특별자치도 서귀포시 남원읍 남원리 239033.273775126.70247<NA>18사용중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
8남원1리마을서귀포시남원읍남원1리서귀포시 동부보건소 전기차충전소전기차충전소1661-9408제주특별자치도 서귀포시 남원읍 태위로 527제주특별자치도 서귀포시 남원읍 남원리 2359-133.275382126.703401<NA>18사용중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
9남원1리마을서귀포시남원읍남원1리대발이파크 전기차충전소전기차충전소1670-2690<NA>제주특별자치도 서귀포시 남원읍 남원리 2490-533.274893126.704363<NA>18사용중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
마을명시군구명읍면동명행정리명편의시설명편의시설유형소재지전화번호소재지도로명주소소재지지번주소위도경도인허가일자상세영업상태코드상세영업상태명휴무일운영시간데이터기준일자
2441한림2리마을제주시한림읍한림2리한림읍 무료 주차장(405-2-000305)주차장<NA>제주특별자치도 제주시 한림읍 한림로 682-3제주특별자치도 제주시 한림읍 한림리 1304-1033.41574126.2657<NA>18사용중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
2442한림2리마을제주시한림읍한림2리한림읍 무료 주차장(405-2-000285)주차장<NA><NA>제주특별자치도 제주시 한림읍 한림리 905-3533.4112126.2686<NA>18사용중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
2443한림2리마을제주시한림읍한림2리감협 뒤 공터클린하우스<NA><NA>제주특별자치도 제주시 한림읍 한림리 1232-133.414918126.267035<NA>18사용중연중무휴(평일+주말+공휴일)15:00~04:002022-09-30
2444한림2리마을제주시한림읍한림2리감협 맞은편클린하우스<NA><NA>제주특별자치도 제주시 한림읍 한림리 158233.414473126.266759<NA>18사용중연중무휴(평일+주말+공휴일)15:00~04:002022-09-30
2445한림2리마을제주시한림읍한림2리삼손가든 아래클린하우스<NA><NA>제주특별자치도 제주시 한림읍 한림리 680-133.410943126.271323<NA>18사용중연중무휴(평일+주말+공휴일)15:00~04:002022-09-30
2446한림2리마을제주시한림읍한림2리체육관입구 아래쪽 도로(백부장집)클린하우스<NA><NA>제주특별자치도 제주시 한림읍 한림리 915-933.40894126.266231<NA>18사용중연중무휴(평일+주말+공휴일)15:00~04:002022-09-30
2447한림2리마을제주시한림읍한림2리CU 한림중앙점편의점070-8900-0297제주특별자치도 제주시 한림읍 한림중앙로 23제주특별자치도 제주시 한림읍 한림리 1115-233.412693126.2650222010-11-2313영업중연중무휴(평일+주말+공휴일)00:00~24:002022-09-30
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