Overview

Dataset statistics

Number of variables7
Number of observations814
Missing cells51
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.6 KiB
Average record size in memory56.2 B

Variable types

Categorical3
Text4

Dataset

Description전라남도 22개 시군의 주요 지역별 관광정보(남도여행 길잡이 홈페이지)에 대한 데이터를 조회하실 수 있습니다(지역, 관광지명, 문의처, 주차가능 여부, 홈페이지 링크 등)
Author전라남도
URLhttps://www.data.go.kr/data/15041996/fileData.do

Alerts

구분 has constant value ""Constant
주차시설 is highly imbalanced (51.1%)Imbalance
문의전화 has 27 (3.3%) missing valuesMissing
홈페이지 has 24 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:29:02.644671
Analysis finished2023-12-12 06:29:03.559938
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
관광
814 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광 814
100.0%

Length

2023-12-12T15:29:03.616806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:03.700030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광 814
100.0%

지역
Categorical

Distinct22
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
곡성
67 
보성
66 
구례
64 
진도
60 
해남
59 
Other values (17)
498 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성 67
 
8.2%
보성 66
 
8.1%
구례 64
 
7.9%
진도 60
 
7.4%
해남 59
 
7.2%
담양 56
 
6.9%
신안 50
 
6.1%
화순 44
 
5.4%
광양 41
 
5.0%
순천 39
 
4.8%
Other values (12) 268
32.9%

Length

2023-12-12T15:29:03.829847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡성 67
 
8.2%
보성 66
 
8.1%
구례 64
 
7.9%
진도 60
 
7.4%
해남 59
 
7.2%
담양 56
 
6.9%
신안 50
 
6.1%
화순 44
 
5.4%
광양 41
 
5.0%
순천 39
 
4.8%
Other values (12) 268
32.9%

이름
Text

Distinct804
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T15:29:04.478201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.2579853
Min length2

Characters and Unicode

Total characters5908
Distinct characters501
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique794 ?
Unique (%)97.5%

Sample

1st row백련사
2nd row강진군
3rd row전라병영성
4th row무위사
5th row정다산유적지(다산초당)
ValueCountFrequency (%)
보성 10
 
0.8%
섬진강 10
 
0.8%
해남 6
 
0.5%
구 6
 
0.5%
지리산정원 5
 
0.4%
전망대 5
 
0.4%
곡성 4
 
0.3%
여수 4
 
0.3%
마을 4
 
0.3%
자연휴양림 4
 
0.3%
Other values (1080) 1203
95.4%
2023-12-12T15:29:05.030480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
7.7%
산 151
 
2.6%
관 119
 
2.0%
사 119
 
2.0%
도 112
 
1.9%
원 92
 
1.6%
리 92
 
1.6%
장 91
 
1.5%
마 85
 
1.4%
지 81
 
1.4%
Other values (491) 4514
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5283
89.4%
Space Separator 452
 
7.7%
Close Punctuation 60
 
1.0%
Open Punctuation 59
 
1.0%
Decimal Number 31
 
0.5%
Other Punctuation 10
 
0.2%
Uppercase Letter 9
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 151
 
2.9%
관 119
 
2.3%
사 119
 
2.3%
도 112
 
2.1%
원 92
 
1.7%
리 92
 
1.7%
장 91
 
1.7%
마 85
 
1.6%
지 81
 
1.5%
수 78
 
1.5%
Other values (467) 4263
80.7%
Decimal Number
ValueCountFrequency (%)
5 8
25.8%
4 4
12.9%
3 4
12.9%
8 4
12.9%
1 4
12.9%
2 3
 
9.7%
0 2
 
6.5%
7 1
 
3.2%
6 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
O 2
22.2%
L 1
 
11.1%
P 1
 
11.1%
S 1
 
11.1%
F 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
s 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 9
90.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5278
89.3%
Common 613
 
10.4%
Latin 12
 
0.2%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 151
 
2.9%
관 119
 
2.3%
사 119
 
2.3%
도 112
 
2.1%
원 92
 
1.7%
리 92
 
1.7%
장 91
 
1.7%
마 85
 
1.6%
지 81
 
1.5%
수 78
 
1.5%
Other values (463) 4258
80.7%
Common
ValueCountFrequency (%)
452
73.7%
) 60
 
9.8%
( 59
 
9.6%
· 9
 
1.5%
5 8
 
1.3%
4 4
 
0.7%
3 4
 
0.7%
8 4
 
0.7%
1 4
 
0.7%
2 3
 
0.5%
Other values (5) 6
 
1.0%
Latin
ValueCountFrequency (%)
C 3
25.0%
O 2
16.7%
t 1
 
8.3%
s 1
 
8.3%
e 1
 
8.3%
L 1
 
8.3%
P 1
 
8.3%
S 1
 
8.3%
F 1
 
8.3%
Han
ValueCountFrequency (%)
亭 2
40.0%
仰 1
20.0%
松 1
20.0%
江 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5278
89.3%
ASCII 616
 
10.4%
None 9
 
0.2%
CJK 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452
73.4%
) 60
 
9.7%
( 59
 
9.6%
5 8
 
1.3%
4 4
 
0.6%
3 4
 
0.6%
8 4
 
0.6%
1 4
 
0.6%
2 3
 
0.5%
C 3
 
0.5%
Other values (13) 15
 
2.4%
Hangul
ValueCountFrequency (%)
산 151
 
2.9%
관 119
 
2.3%
사 119
 
2.3%
도 112
 
2.1%
원 92
 
1.7%
리 92
 
1.7%
장 91
 
1.7%
마 85
 
1.6%
지 81
 
1.5%
수 78
 
1.5%
Other values (463) 4258
80.7%
None
ValueCountFrequency (%)
· 9
100.0%
CJK
ValueCountFrequency (%)
亭 2
40.0%
仰 1
20.0%
松 1
20.0%
江 1
20.0%

주소
Text

Distinct747
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T15:29:05.445805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.190418
Min length10

Characters and Unicode

Total characters16435
Distinct characters314
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

Unique695 ?
Unique (%)85.4%

Sample

1st row전라남도 강진군 도암면 백련사길 145
2nd row전라남도 강진군 강진읍 탐진로 111
3rd row전라남도 강진군 병영면 병영성로 175
4th row전라남도 강진군 성전면 무위사로 308
5th row전라남도 강진군 도암면 다산로 726-13
ValueCountFrequency (%)
전라남도 689
 
17.5%
전남 121
 
3.1%
보성군 66
 
1.7%
곡성군 66
 
1.7%
구례군 64
 
1.6%
해남군 60
 
1.5%
진도군 59
 
1.5%
담양군 56
 
1.4%
신안군 49
 
1.2%
화순군 44
 
1.1%
Other values (1321) 2673
67.7%
2023-12-12T15:29:06.145300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3133
19.1%
남 913
 
5.6%
도 884
 
5.4%
전 833
 
5.1%
라 691
 
4.2%
군 679
 
4.1%
면 541
 
3.3%
1 508
 
3.1%
길 411
 
2.5%
2 345
 
2.1%
Other values (304) 7497
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10576
64.4%
Space Separator 3133
 
19.1%
Decimal Number 2464
 
15.0%
Dash Punctuation 260
 
1.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 913
 
8.6%
도 884
 
8.4%
전 833
 
7.9%
라 691
 
6.5%
군 679
 
6.4%
면 541
 
5.1%
길 411
 
3.9%
로 315
 
3.0%
성 234
 
2.2%
산 189
 
1.8%
Other values (290) 4886
46.2%
Decimal Number
ValueCountFrequency (%)
1 508
20.6%
2 345
14.0%
3 291
11.8%
5 243
9.9%
4 204
8.3%
8 186
 
7.5%
6 182
 
7.4%
0 176
 
7.1%
9 169
 
6.9%
7 160
 
6.5%
Space Separator
ValueCountFrequency (%)
3133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10576
64.4%
Common 5859
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 913
 
8.6%
도 884
 
8.4%
전 833
 
7.9%
라 691
 
6.5%
군 679
 
6.4%
면 541
 
5.1%
길 411
 
3.9%
로 315
 
3.0%
성 234
 
2.2%
산 189
 
1.8%
Other values (290) 4886
46.2%
Common
ValueCountFrequency (%)
3133
53.5%
1 508
 
8.7%
2 345
 
5.9%
3 291
 
5.0%
- 260
 
4.4%
5 243
 
4.1%
4 204
 
3.5%
8 186
 
3.2%
6 182
 
3.1%
0 176
 
3.0%
Other values (4) 331
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10576
64.4%
ASCII 5859
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3133
53.5%
1 508
 
8.7%
2 345
 
5.9%
3 291
 
5.0%
- 260
 
4.4%
5 243
 
4.1%
4 204
 
3.5%
8 186
 
3.2%
6 182
 
3.1%
0 176
 
3.0%
Other values (4) 331
 
5.6%
Hangul
ValueCountFrequency (%)
남 913
 
8.6%
도 884
 
8.4%
전 833
 
7.9%
라 691
 
6.5%
군 679
 
6.4%
면 541
 
5.1%
길 411
 
3.9%
로 315
 
3.0%
성 234
 
2.2%
산 189
 
1.8%
Other values (290) 4886
46.2%

문의전화
Text

MISSING 

Distinct497
Distinct (%)63.2%
Missing27
Missing (%)3.3%
Memory size6.5 KiB
2023-12-12T15:29:06.405299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length11.871665
Min length5

Characters and Unicode

Total characters9343
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique422 ?
Unique (%)53.6%

Sample

1st row061-432-0837
2nd row061-430-3114
3rd row061-430-3312
4th row061-432-4974
5th row061-430-3911
ValueCountFrequency (%)
061-530-5856 26
 
3.3%
061-360-8419 24
 
3.0%
061-240-8359 20
 
2.5%
061-379-3178 18
 
2.3%
061-797-3333 15
 
1.9%
061-532-1330 14
 
1.8%
061-749-3114 14
 
1.8%
061-780-2441 14
 
1.8%
061-850-5241 12
 
1.5%
061-380-3154 12
 
1.5%
Other values (489) 622
78.6%
2023-12-12T15:29:06.837149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1532
16.4%
0 1487
15.9%
1 1217
13.0%
6 1114
11.9%
3 819
8.8%
5 663
7.1%
8 585
 
6.3%
4 552
 
5.9%
2 502
 
5.4%
7 495
 
5.3%
Other values (28) 377
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7765
83.1%
Dash Punctuation 1532
 
16.4%
Other Letter 38
 
0.4%
Space Separator 7
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4
 
10.5%
과 4
 
10.5%
문 3
 
7.9%
화 3
 
7.9%
광 3
 
7.9%
도 2
 
5.3%
우 1
 
2.6%
가 1
 
2.6%
역 1
 
2.6%
진 1
 
2.6%
Other values (15) 15
39.5%
Decimal Number
ValueCountFrequency (%)
0 1487
19.2%
1 1217
15.7%
6 1114
14.3%
3 819
10.5%
5 663
8.5%
8 585
 
7.5%
4 552
 
7.1%
2 502
 
6.5%
7 495
 
6.4%
9 331
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1532
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9305
99.6%
Hangul 38
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4
 
10.5%
과 4
 
10.5%
문 3
 
7.9%
화 3
 
7.9%
광 3
 
7.9%
도 2
 
5.3%
우 1
 
2.6%
가 1
 
2.6%
역 1
 
2.6%
진 1
 
2.6%
Other values (15) 15
39.5%
Common
ValueCountFrequency (%)
- 1532
16.5%
0 1487
16.0%
1 1217
13.1%
6 1114
12.0%
3 819
8.8%
5 663
7.1%
8 585
 
6.3%
4 552
 
5.9%
2 502
 
5.4%
7 495
 
5.3%
Other values (3) 339
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9305
99.6%
Hangul 38
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1532
16.5%
0 1487
16.0%
1 1217
13.1%
6 1114
12.0%
3 819
8.8%
5 663
7.1%
8 585
 
6.3%
4 552
 
5.9%
2 502
 
5.4%
7 495
 
5.3%
Other values (3) 339
 
3.6%
Hangul
ValueCountFrequency (%)
관 4
 
10.5%
과 4
 
10.5%
문 3
 
7.9%
화 3
 
7.9%
광 3
 
7.9%
도 2
 
5.3%
우 1
 
2.6%
가 1
 
2.6%
역 1
 
2.6%
진 1
 
2.6%
Other values (15) 15
39.5%

주차시설
Categorical

IMBALANCE 

Distinct46
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
가능
355 
있음
142 
<NA>
115 
없음
65 
무료
62 
Other values (41)
75 

Length

Max length43
Median length2
Mean length2.9176904
Min length1

Unique

Unique29 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
가능 355
43.6%
있음 142
 
17.4%
<NA> 115
 
14.1%
없음 65
 
8.0%
무료 62
 
7.6%
유료 10
 
1.2%
공용주차장 이용 7
 
0.9%
운영 6
 
0.7%
홈페이지 참조 4
 
0.5%
성삼재주차장 4
 
0.5%
Other values (36) 44
 
5.4%

Length

2023-12-12T15:29:07.042917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가능 362
39.4%
있음 144
 
15.7%
na 115
 
12.5%
무료 68
 
7.4%
없음 65
 
7.1%
이용 18
 
2.0%
유료 10
 
1.1%
공용주차장 8
 
0.9%
대형 8
 
0.9%
6
 
0.7%
Other values (66) 115
 
12.5%

홈페이지
Text

MISSING 

Distinct743
Distinct (%)94.1%
Missing24
Missing (%)2.9%
Memory size6.5 KiB
2023-12-12T15:29:07.256239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length177
Median length111
Mean length66.807595
Min length17

Characters and Unicode

Total characters52778
Distinct characters72
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

Unique700 ?
Unique (%)88.6%

Sample

1st rowhttp://www.baekryunsa.net/
2nd rowhttp://www.gangjin.go.kr/
3rd rowhttps://www.gangjin.go.kr/culture/attractions/twelve_scenery/jeonlla_castle
4th rowhttps://www.gangjin.go.kr/culture/attractions/twelve_scenery/muwisa
5th rowhttps://www.gangjin.go.kr/culture/attractions/twelve_scenery/dasanchodang
ValueCountFrequency (%)
http://ecopark.gurye.go.kr 4
 
0.5%
http://haenam.grandculture.net/haenam/toc/gc07300443 3
 
0.4%
http://www.gstrain.co.kr 3
 
0.4%
https://www.yeosu.go.kr/tour/travel/10tour/yeosu_nic 2
 
0.3%
https://www.wando.go.kr/tour/theme/tracking/sammunsan 2
 
0.3%
https://www.jindo.go.kr/tour/tour/info/history/004.cs?act=view&infoid=52&category=004&searchcondition=&searchkeyword=&pageindex=1 2
 
0.3%
http://www.damyang.go.kr/tour/board/view.damyang?boardid=bbs_0000177&menucd=dom_000000302002003000&paging=ok&startpage=1&datasid=319475 2
 
0.3%
http://www.mrcablecar.com/main.asp 2
 
0.3%
https://www.damyang.go.kr/tour/board/view.damyang?boardid=bbs_0000169&menucd=dom_000000301001001000&paging=ok&startpage=1&datasid=319432 2
 
0.3%
https://www.jindo.go.kr/tour/sub.cs?m=11 2
 
0.3%
Other values (733) 766
97.0%
2023-12-12T15:29:07.675804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3864
 
7.3%
t 3774
 
7.2%
o 3439
 
6.5%
0 2698
 
5.1%
r 2631
 
5.0%
e 2622
 
5.0%
. 2474
 
4.7%
a 2314
 
4.4%
w 2186
 
4.1%
n 1969
 
3.7%
Other values (62) 24807
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35313
66.9%
Other Punctuation 8552
 
16.2%
Decimal Number 5691
 
10.8%
Uppercase Letter 1473
 
2.8%
Math Symbol 1222
 
2.3%
Connector Punctuation 492
 
0.9%
Dash Punctuation 32
 
0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3774
 
10.7%
o 3439
 
9.7%
r 2631
 
7.5%
e 2622
 
7.4%
a 2314
 
6.6%
w 2186
 
6.2%
n 1969
 
5.6%
s 1834
 
5.2%
g 1733
 
4.9%
u 1609
 
4.6%
Other values (16) 11202
31.7%
Uppercase Letter
ValueCountFrequency (%)
I 229
15.5%
C 217
14.7%
S 152
10.3%
B 138
9.4%
O 80
 
5.4%
M 78
 
5.3%
E 71
 
4.8%
A 66
 
4.5%
U 64
 
4.3%
D 62
 
4.2%
Other values (12) 316
21.5%
Decimal Number
ValueCountFrequency (%)
0 2698
47.4%
1 777
 
13.7%
3 357
 
6.3%
2 355
 
6.2%
4 294
 
5.2%
9 283
 
5.0%
5 241
 
4.2%
6 234
 
4.1%
8 227
 
4.0%
7 225
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 3864
45.2%
. 2474
28.9%
& 830
 
9.7%
: 794
 
9.3%
? 379
 
4.4%
% 202
 
2.4%
# 9
 
0.1%
Other Letter
ValueCountFrequency (%)
수 1
33.3%
목 1
33.3%
원 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 1221
99.9%
~ 1
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36786
69.7%
Common 15989
30.3%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3774
 
10.3%
o 3439
 
9.3%
r 2631
 
7.2%
e 2622
 
7.1%
a 2314
 
6.3%
w 2186
 
5.9%
n 1969
 
5.4%
s 1834
 
5.0%
g 1733
 
4.7%
u 1609
 
4.4%
Other values (38) 12675
34.5%
Common
ValueCountFrequency (%)
/ 3864
24.2%
0 2698
16.9%
. 2474
15.5%
= 1221
 
7.6%
& 830
 
5.2%
: 794
 
5.0%
1 777
 
4.9%
_ 492
 
3.1%
? 379
 
2.4%
3 357
 
2.2%
Other values (11) 2103
13.2%
Hangul
ValueCountFrequency (%)
수 1
33.3%
목 1
33.3%
원 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52775
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3864
 
7.3%
t 3774
 
7.2%
o 3439
 
6.5%
0 2698
 
5.1%
r 2631
 
5.0%
e 2622
 
5.0%
. 2474
 
4.7%
a 2314
 
4.4%
w 2186
 
4.1%
n 1969
 
3.7%
Other values (59) 24804
47.0%
Hangul
ValueCountFrequency (%)
수 1
33.3%
목 1
33.3%
원 1
33.3%

Correlations

2023-12-12T15:29:07.786948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역주차시설
지역1.0000.671
주차시설0.6711.000
2023-12-12T15:29:07.874892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역주차시설
지역1.0000.211
주차시설0.2111.000
2023-12-12T15:29:07.963029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역주차시설
지역1.0000.211
주차시설0.2111.000

Missing values

2023-12-12T15:29:03.291894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:03.409289image/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.
2023-12-12T15:29:03.503982image/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

구분지역이름주소문의전화주차시설홈페이지
0관광강진백련사전라남도 강진군 도암면 백련사길 145061-432-0837가능http://www.baekryunsa.net/
1관광강진강진군전라남도 강진군 강진읍 탐진로 111061-430-3114가능http://www.gangjin.go.kr/
2관광강진전라병영성전라남도 강진군 병영면 병영성로 175061-430-3312가능https://www.gangjin.go.kr/culture/attractions/twelve_scenery/jeonlla_castle
3관광강진무위사전라남도 강진군 성전면 무위사로 308061-432-4974가능https://www.gangjin.go.kr/culture/attractions/twelve_scenery/muwisa
4관광강진정다산유적지(다산초당)전라남도 강진군 도암면 다산로 726-13061-430-3911가능https://www.gangjin.go.kr/culture/attractions/twelve_scenery/dasanchodang
5관광강진영랑생가전라남도 강진군 강진읍 영랑생가길 15061-430-3377없음https://www.gangjin.go.kr/culture/attractions/twelve_scenery/yeonglang_house
6관광강진강진다원전라남도 강진군 성전면 백운로 93-25061-432-5500무료https://www.gangjin.go.kr/culture/attractions/twelve_scenery/gj_teagarden
7관광강진다산박물관전라남도 강진군 도암면 다산로 766-20061-430-3916무료https://www.gangjin.go.kr/culture/attractions
8관광강진마량놀토수산시장전라남도 강진군 마량면 미항로 150061-430-3267가능https://www.gangjin.go.kr/culture/attractions/twelve_scenery/malyang_port
9관광강진한국민화뮤지엄전라남도 강진군 대구면 청자촌길 61-5061-433-9770무료http://minhwamuseum.com/
구분지역이름주소문의전화주차시설홈페이지
804관광화순오지호기념관전라남도 화순군 동복면 독상1길 10061-379-3917가능https://www.hwasun.go.kr/culture/contents.do?S=S05&M=010403000000
805관광화순천불천탑사진문화관전라남도 화순군 도암면 천태로 91-20061-379-5893가능http://xn--zb0b8hw93alobo5m99bj5mrvej11bha.com/
806관광화순화순군립석봉미술관전라남도 화순군 화순읍 진각로 249-8061-379-3836가능http://sbart.or.kr/
807관광화순무등산편백휴양림전라남도 화순군 이서면 안양산로 685061-373-2065소중형 2000_일 대형 5000_일http://moodoong.com/
808관광화순한천자연휴양림전라남도 화순군 한천면 죽헌로 719061-379-3734소중형 3000_일 대형 4000_일https://www.foresttrip.go.kr/indvz/main.do?hmpgId=ID02030088
809관광화순옹성산 (철옹산성)전남 화순군 동복면 안성리061-379-3503가능https://forest.hwasun.go.kr/contents.do?S=S01&M=040300000000
810관광화순물염정전남 화순군 이서면 창랑리 산 373061-379-3178가능http://hwasun.go.kr/gallery.do?S=S05&M=010206000000&b_code=0000000100&v_type=CU1&b_list=16&act=view&list_no=4&nPage=5&vlist_no_npage=14&keyField=&keyWord=
811관광화순송석정전남 화순군 이양면 강성리061-379-3503있음http://hwasun.go.kr/gallery.do?S=S05&M=010204000000&b_code=0000000099&v_type=CU1&b_list=16&act=view&list_no=10&nPage=4&vlist_no_npage=10&keyField=&keyWord=
812관광화순세계거석 테마파크전라남도 화순군 도곡면 효산모산길 54061-379-3516가능https://dc.hwasun.go.kr/contents.do?S=S01&M=030101000000
813관광화순오성산성전라남도 화순군 동면 국동리061-379-3178가능http://hwasun.go.kr/gallery.do?S=S05&M=010204000000&b_code=0000000099&list_no=26&act=view