Overview

Dataset statistics

Number of variables13
Number of observations70
Missing cells178
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory106.9 B

Variable types

Unsupported4
Text7
Categorical2

Dataset

Descriptiono 전문 빅데이터 수집 인력이 직접 제주도 내 숙박지 명칭,위치,특이사항 등 기본정보를 수집 o 제주도 내 최신정보의 관광지 별 고화질 이미지 수집 자료(전문가 직접 촬영)
Author넥스트이지
URLhttps://www.jejudatahub.net/data/view/data/909

Alerts

Unnamed: 10 is highly overall correlated with Unnamed: 12High correlation
Unnamed: 12 is highly overall correlated with Unnamed: 10High correlation
Unnamed: 0 has 70 (100.0%) missing valuesMissing
숙박지 2021.3월 68건 has 1 (1.4%) missing valuesMissing
Unnamed: 2 has 1 (1.4%) missing valuesMissing
Unnamed: 3 has 66 (94.3%) missing valuesMissing
Unnamed: 4 has 3 (4.3%) missing valuesMissing
Unnamed: 5 has 1 (1.4%) missing valuesMissing
Unnamed: 6 has 5 (7.1%) missing valuesMissing
Unnamed: 7 has 5 (7.1%) missing valuesMissing
Unnamed: 8 has 9 (12.9%) missing valuesMissing
Unnamed: 9 has 9 (12.9%) missing valuesMissing
Unnamed: 11 has 8 (11.4%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
숙박지 2021.3월 68건 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 19:33:43.932385
Analysis finished2023-12-11 19:33:45.747650
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

숙박지 2021.3월 68건
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)1.4%
Memory size692.0 B

Unnamed: 2
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size692.0 B
2023-12-12T04:33:46.093673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.2753623
Min length2

Characters and Unicode

Total characters433
Distinct characters178
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

Unique69 ?
Unique (%)100.0%

Sample

1st row명칭
2nd row다몽채민박
3rd row델마와루이스 펜션
4th row요나고래
5th row라라제주 풀빌라
ValueCountFrequency (%)
펜션 2
 
2.4%
풀빌라 2
 
2.4%
조수리플로어 1
 
1.2%
용산제주유스호스텔 1
 
1.2%
함덕서우봉해변야영장 1
 
1.2%
함덕캠핑스타카라반 1
 
1.2%
체크인호텔 1
 
1.2%
안녕함덕게스트하우스 1
 
1.2%
크로베펜션 1
 
1.2%
제주도료칸 1
 
1.2%
Other values (70) 70
85.4%
2023-12-12T04:33:46.770490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 37
 
8.5%
하 16
 
3.7%
우 15
 
3.5%
라 14
 
3.2%
션 14
 
3.2%
13
 
3.0%
펜 13
 
3.0%
게 11
 
2.5%
이 10
 
2.3%
트 9
 
2.1%
Other values (168) 281
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
95.6%
Space Separator 13
 
3.0%
Decimal Number 6
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 37
 
8.9%
하 16
 
3.9%
우 15
 
3.6%
라 14
 
3.4%
션 14
 
3.4%
펜 13
 
3.1%
게 11
 
2.7%
이 10
 
2.4%
트 9
 
2.2%
리 8
 
1.9%
Other values (161) 267
64.5%
Decimal Number
ValueCountFrequency (%)
5 1
16.7%
7 1
16.7%
3 1
16.7%
1 1
16.7%
9 1
16.7%
6 1
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
95.6%
Common 19
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 37
 
8.9%
하 16
 
3.9%
우 15
 
3.6%
라 14
 
3.4%
션 14
 
3.4%
펜 13
 
3.1%
게 11
 
2.7%
이 10
 
2.4%
트 9
 
2.2%
리 8
 
1.9%
Other values (161) 267
64.5%
Common
ValueCountFrequency (%)
13
68.4%
5 1
 
5.3%
7 1
 
5.3%
3 1
 
5.3%
1 1
 
5.3%
9 1
 
5.3%
6 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
95.6%
ASCII 19
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 37
 
8.9%
하 16
 
3.9%
우 15
 
3.6%
라 14
 
3.4%
션 14
 
3.4%
펜 13
 
3.1%
게 11
 
2.7%
이 10
 
2.4%
트 9
 
2.2%
리 8
 
1.9%
Other values (161) 267
64.5%
ASCII
ValueCountFrequency (%)
13
68.4%
5 1
 
5.3%
7 1
 
5.3%
3 1
 
5.3%
1 1
 
5.3%
9 1
 
5.3%
6 1
 
5.3%

Unnamed: 3
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing66
Missing (%)94.3%
Memory size692.0 B
2023-12-12T04:33:46.988867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6.5
Mean length6.5
Min length3

Characters and Unicode

Total characters26
Distinct characters24
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

Unique4 ?
Unique (%)100.0%

Sample

1st row동의어
2nd row덕수하루독채펜션
3rd row크로베펜션
4th row오브젝트선흘 스테이
ValueCountFrequency (%)
동의어 1
20.0%
덕수하루독채펜션 1
20.0%
크로베펜션 1
20.0%
오브젝트선흘 1
20.0%
스테이 1
20.0%
2023-12-12T04:33:47.428549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
펜 2
 
7.7%
션 2
 
7.7%
동 1
 
3.8%
베 1
 
3.8%
테 1
 
3.8%
스 1
 
3.8%
1
 
3.8%
흘 1
 
3.8%
선 1
 
3.8%
트 1
 
3.8%
Other values (14) 14
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
96.2%
Space Separator 1
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
펜 2
 
8.0%
션 2
 
8.0%
동 1
 
4.0%
베 1
 
4.0%
테 1
 
4.0%
스 1
 
4.0%
흘 1
 
4.0%
선 1
 
4.0%
트 1
 
4.0%
젝 1
 
4.0%
Other values (13) 13
52.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
96.2%
Common 1
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
펜 2
 
8.0%
션 2
 
8.0%
동 1
 
4.0%
베 1
 
4.0%
테 1
 
4.0%
스 1
 
4.0%
흘 1
 
4.0%
선 1
 
4.0%
트 1
 
4.0%
젝 1
 
4.0%
Other values (13) 13
52.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
96.2%
ASCII 1
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
펜 2
 
8.0%
션 2
 
8.0%
동 1
 
4.0%
베 1
 
4.0%
테 1
 
4.0%
스 1
 
4.0%
흘 1
 
4.0%
선 1
 
4.0%
트 1
 
4.0%
젝 1
 
4.0%
Other values (13) 13
52.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 4
Text

MISSING 

Distinct67
Distinct (%)100.0%
Missing3
Missing (%)4.3%
Memory size692.0 B
2023-12-12T04:33:47.732940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.731343
Min length4

Characters and Unicode

Total characters853
Distinct characters16
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

Unique67 ?
Unique (%)100.0%

Sample

1st row전화번호
2nd row010-3777-3758
3rd row010-3056-9834
4th row010-3342-1527
5th row064-799-0391
ValueCountFrequency (%)
010-9946-3770 1
 
1.5%
010-2955-8488 1
 
1.5%
010-9009-5692 1
 
1.5%
010-8471-1020 1
 
1.5%
064-782-0053 1
 
1.5%
010-4484-8556 1
 
1.5%
010-3425-4939 1
 
1.5%
010-5655-1793 1
 
1.5%
010-8700-5774 1
 
1.5%
전화번호 1
 
1.5%
Other values (57) 57
85.1%
2023-12-12T04:33:48.273193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 178
20.9%
- 132
15.5%
1 81
9.5%
4 76
8.9%
7 62
 
7.3%
9 57
 
6.7%
8 57
 
6.7%
2 54
 
6.3%
5 54
 
6.3%
3 53
 
6.2%
Other values (6) 49
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 716
83.9%
Dash Punctuation 132
 
15.5%
Other Letter 4
 
0.5%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
24.9%
1 81
11.3%
4 76
10.6%
7 62
 
8.7%
9 57
 
8.0%
8 57
 
8.0%
2 54
 
7.5%
5 54
 
7.5%
3 53
 
7.4%
6 44
 
6.1%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 849
99.5%
Hangul 4
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 178
21.0%
- 132
15.5%
1 81
9.5%
4 76
9.0%
7 62
 
7.3%
9 57
 
6.7%
8 57
 
6.7%
2 54
 
6.4%
5 54
 
6.4%
3 53
 
6.2%
Other values (2) 45
 
5.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
99.5%
Hangul 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 178
21.0%
- 132
15.5%
1 81
9.5%
4 76
9.0%
7 62
 
7.3%
9 57
 
6.7%
8 57
 
6.7%
2 54
 
6.4%
5 54
 
6.4%
3 53
 
6.2%
Other values (2) 45
 
5.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 5
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size692.0 B
2023-12-12T04:33:48.716569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length18.26087
Min length5

Characters and Unicode

Total characters1260
Distinct characters101
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

Unique69 ?
Unique (%)100.0%

Sample

1st row도로명주소
2nd row제주 제주시 애월읍 번대동2길 13
3rd row제주 제주시 애월읍 구엄길 88
4th row제주 제주시 애월읍 신엄연대길 37
5th row제주 제주시 애월읍 신엄연대길 39-2
ValueCountFrequency (%)
제주시 54
 
17.3%
제주 48
 
15.3%
한림읍 16
 
5.1%
서귀포시 14
 
4.5%
애월읍 11
 
3.5%
한경면 9
 
2.9%
구좌읍 8
 
2.6%
조천읍 8
 
2.6%
협재2길 5
 
1.6%
신엄연대길 3
 
1.0%
Other values (123) 137
43.8%
2023-12-12T04:33:49.308952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
19.4%
주 106
 
8.4%
제 103
 
8.2%
시 68
 
5.4%
읍 47
 
3.7%
1 38
 
3.0%
2 38
 
3.0%
길 37
 
2.9%
로 34
 
2.7%
3 32
 
2.5%
Other values (91) 512
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 766
60.8%
Space Separator 245
 
19.4%
Decimal Number 223
 
17.7%
Dash Punctuation 26
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
13.8%
제 103
 
13.4%
시 68
 
8.9%
읍 47
 
6.1%
길 37
 
4.8%
로 34
 
4.4%
한 28
 
3.7%
림 20
 
2.6%
포 19
 
2.5%
월 18
 
2.3%
Other values (79) 286
37.3%
Decimal Number
ValueCountFrequency (%)
1 38
17.0%
2 38
17.0%
3 32
14.3%
4 26
11.7%
7 21
9.4%
5 20
9.0%
8 16
7.2%
9 14
 
6.3%
0 11
 
4.9%
6 7
 
3.1%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 766
60.8%
Common 494
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
13.8%
제 103
 
13.4%
시 68
 
8.9%
읍 47
 
6.1%
길 37
 
4.8%
로 34
 
4.4%
한 28
 
3.7%
림 20
 
2.6%
포 19
 
2.5%
월 18
 
2.3%
Other values (79) 286
37.3%
Common
ValueCountFrequency (%)
245
49.6%
1 38
 
7.7%
2 38
 
7.7%
3 32
 
6.5%
4 26
 
5.3%
- 26
 
5.3%
7 21
 
4.3%
5 20
 
4.0%
8 16
 
3.2%
9 14
 
2.8%
Other values (2) 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 766
60.8%
ASCII 494
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
49.6%
1 38
 
7.7%
2 38
 
7.7%
3 32
 
6.5%
4 26
 
5.3%
- 26
 
5.3%
7 21
 
4.3%
5 20
 
4.0%
8 16
 
3.2%
9 14
 
2.8%
Other values (2) 18
 
3.6%
Hangul
ValueCountFrequency (%)
주 106
 
13.8%
제 103
 
13.4%
시 68
 
8.9%
읍 47
 
6.1%
길 37
 
4.8%
로 34
 
4.4%
한 28
 
3.7%
림 20
 
2.6%
포 19
 
2.5%
월 18
 
2.3%
Other values (79) 286
37.3%

Unnamed: 6
Text

MISSING 

Distinct65
Distinct (%)100.0%
Missing5
Missing (%)7.1%
Memory size692.0 B
2023-12-12T04:33:49.709065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0923077
Min length4

Characters and Unicode

Total characters591
Distinct characters74
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

Unique65 ?
Unique (%)100.0%

Sample

1st row지번주소
2nd row수산리 660-1
3rd row구엄리 1281
4th row신엄리 2910-2
5th row신엄리 2909-2
ValueCountFrequency (%)
협재리 7
 
5.4%
곽지리 4
 
3.1%
함덕리 4
 
3.1%
판포리 4
 
3.1%
월정리 3
 
2.3%
귀덕리 3
 
2.3%
신엄리 3
 
2.3%
금등리 2
 
1.5%
명월리 2
 
1.5%
용수리 2
 
1.5%
Other values (93) 96
73.8%
2023-12-12T04:33:50.300267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 81
13.7%
66
 
11.2%
리 56
 
9.5%
- 43
 
7.3%
2 39
 
6.6%
7 24
 
4.1%
9 23
 
3.9%
3 23
 
3.9%
4 22
 
3.7%
5 22
 
3.7%
Other values (64) 192
32.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 282
47.7%
Other Letter 200
33.8%
Space Separator 66
 
11.2%
Dash Punctuation 43
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 56
28.0%
동 9
 
4.5%
덕 9
 
4.5%
재 7
 
3.5%
협 7
 
3.5%
수 7
 
3.5%
월 7
 
3.5%
포 6
 
3.0%
지 5
 
2.5%
엄 4
 
2.0%
Other values (52) 83
41.5%
Decimal Number
ValueCountFrequency (%)
1 81
28.7%
2 39
13.8%
7 24
 
8.5%
9 23
 
8.2%
3 23
 
8.2%
4 22
 
7.8%
5 22
 
7.8%
0 18
 
6.4%
6 16
 
5.7%
8 14
 
5.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 391
66.2%
Hangul 200
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 56
28.0%
동 9
 
4.5%
덕 9
 
4.5%
재 7
 
3.5%
협 7
 
3.5%
수 7
 
3.5%
월 7
 
3.5%
포 6
 
3.0%
지 5
 
2.5%
엄 4
 
2.0%
Other values (52) 83
41.5%
Common
ValueCountFrequency (%)
1 81
20.7%
66
16.9%
- 43
11.0%
2 39
10.0%
7 24
 
6.1%
9 23
 
5.9%
3 23
 
5.9%
4 22
 
5.6%
5 22
 
5.6%
0 18
 
4.6%
Other values (2) 30
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 391
66.2%
Hangul 200
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 81
20.7%
66
16.9%
- 43
11.0%
2 39
10.0%
7 24
 
6.1%
9 23
 
5.9%
3 23
 
5.9%
4 22
 
5.6%
5 22
 
5.6%
0 18
 
4.6%
Other values (2) 30
 
7.7%
Hangul
ValueCountFrequency (%)
리 56
28.0%
동 9
 
4.5%
덕 9
 
4.5%
재 7
 
3.5%
협 7
 
3.5%
수 7
 
3.5%
월 7
 
3.5%
포 6
 
3.0%
지 5
 
2.5%
엄 4
 
2.0%
Other values (52) 83
41.5%

Unnamed: 7
Text

MISSING 

Distinct62
Distinct (%)95.4%
Missing5
Missing (%)7.1%
Memory size692.0 B
2023-12-12T04:33:50.616809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length38
Mean length30.861538
Min length2

Characters and Unicode

Total characters2006
Distinct characters74
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

Unique60 ?
Unique (%)92.3%

Sample

1st row홈페이지
2nd rowhttp://blog.naver.com/damongchae_jeju
3rd rowhttps://www.instagram.com/p/B8GSnOYJyWo/?igshid=a6rb4xbubyci
4th rowhttp://요나고래.com
5th rowhttp://www.lalainjeju.com
ValueCountFrequency (%)
없음 3
 
4.6%
https://blog.naver.com/prettyhouse2018 2
 
3.1%
http://www.thisvilla691.com 1
 
1.5%
http://www.roomine.com 1
 
1.5%
http://instagram.com/maum_stay 1
 
1.5%
https://jejucampingstar.modoo.at 1
 
1.5%
http://instagram.com/hihamdeok 1
 
1.5%
https://crobe.modoo.at 1
 
1.5%
https://www.instagram.com/deoksuharu_official 1
 
1.5%
https://www.yongsanjejuyh.com 1
 
1.5%
Other values (52) 52
80.0%
2023-12-12T04:33:51.168485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 173
 
8.6%
t 167
 
8.3%
o 136
 
6.8%
. 122
 
6.1%
a 109
 
5.4%
e 102
 
5.1%
m 90
 
4.5%
h 89
 
4.4%
s 76
 
3.8%
p 75
 
3.7%
Other values (64) 867
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1503
74.9%
Other Punctuation 359
 
17.9%
Decimal Number 85
 
4.2%
Other Letter 24
 
1.2%
Connector Punctuation 15
 
0.7%
Uppercase Letter 12
 
0.6%
Math Symbol 6
 
0.3%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 167
 
11.1%
o 136
 
9.0%
a 109
 
7.3%
e 102
 
6.8%
m 90
 
6.0%
h 89
 
5.9%
s 76
 
5.1%
p 75
 
5.0%
n 74
 
4.9%
r 72
 
4.8%
Other values (16) 513
34.1%
Other Letter
ValueCountFrequency (%)
없 3
 
12.5%
음 3
 
12.5%
채 2
 
8.3%
나 1
 
4.2%
도 1
 
4.2%
경 1
 
4.2%
풍 1
 
4.2%
션 1
 
4.2%
펜 1
 
4.2%
독 1
 
4.2%
Other values (9) 9
37.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
D 1
8.3%
Q 1
8.3%
K 1
8.3%
I 1
8.3%
G 1
8.3%
S 1
8.3%
O 1
8.3%
Y 1
8.3%
W 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 13
15.3%
6 10
11.8%
4 10
11.8%
0 9
10.6%
9 9
10.6%
2 8
9.4%
8 8
9.4%
5 7
8.2%
3 7
8.2%
7 4
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 173
48.2%
. 122
34.0%
: 58
 
16.2%
? 4
 
1.1%
& 2
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1515
75.5%
Common 467
 
23.3%
Hangul 24
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 167
 
11.0%
o 136
 
9.0%
a 109
 
7.2%
e 102
 
6.7%
m 90
 
5.9%
h 89
 
5.9%
s 76
 
5.0%
p 75
 
5.0%
n 74
 
4.9%
r 72
 
4.8%
Other values (27) 525
34.7%
Hangul
ValueCountFrequency (%)
없 3
 
12.5%
음 3
 
12.5%
채 2
 
8.3%
나 1
 
4.2%
도 1
 
4.2%
경 1
 
4.2%
풍 1
 
4.2%
션 1
 
4.2%
펜 1
 
4.2%
독 1
 
4.2%
Other values (9) 9
37.5%
Common
ValueCountFrequency (%)
/ 173
37.0%
. 122
26.1%
: 58
 
12.4%
_ 15
 
3.2%
1 13
 
2.8%
6 10
 
2.1%
4 10
 
2.1%
0 9
 
1.9%
9 9
 
1.9%
2 8
 
1.7%
Other values (8) 40
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1982
98.8%
Hangul 24
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 173
 
8.7%
t 167
 
8.4%
o 136
 
6.9%
. 122
 
6.2%
a 109
 
5.5%
e 102
 
5.1%
m 90
 
4.5%
h 89
 
4.5%
s 76
 
3.8%
p 75
 
3.8%
Other values (45) 843
42.5%
Hangul
ValueCountFrequency (%)
없 3
 
12.5%
음 3
 
12.5%
채 2
 
8.3%
나 1
 
4.2%
도 1
 
4.2%
경 1
 
4.2%
풍 1
 
4.2%
션 1
 
4.2%
펜 1
 
4.2%
독 1
 
4.2%
Other values (9) 9
37.5%

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)12.9%
Memory size692.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9
Missing (%)12.9%
Memory size692.0 B

Unnamed: 10
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
없음
36 
<NA>
10 
연박 예약시 둘째 날부터 1만원 할인
 
1
2박이상 연박예약 우선
 
1
일주일살이(6박7일)할인-성수기제외
 
1
Other values (21)
21 

Length

Max length80
Median length2
Mean length8.3
Min length2

Unique

Unique24 ?
Unique (%)34.3%

Sample

1st row<NA>
2nd row운영특이사항
3rd row없음
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 36
51.4%
<NA> 10
 
14.3%
연박 예약시 둘째 날부터 1만원 할인 1
 
1.4%
2박이상 연박예약 우선 1
 
1.4%
일주일살이(6박7일)할인-성수기제외 1
 
1.4%
연박할인 2박째부터 2만원 할인 1
 
1.4%
단독전원주택/셀프체크인/실내금연 1
 
1.4%
2시간이하초과시1만원/2시간이상초과시1박요금추가/만36개월~초등학생까지5천원/중고생이상1만원 1
 
1.4%
실내수영장은2박예약시가능/방2 거실2 화장실3 풀장3*5미터 실내온수풀빌라 1
 
1.4%
천연편백통나무건강주택/크로베산방/크로베한라2개동운영/기본4인,최대6인/연박시2번째날부터3만원할인/추가인원1인1박당2만원/바베큐웨버가스그릴임대유료 1
 
1.4%
Other values (16) 16
22.9%

Length

2023-12-12T04:33:51.394069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 36
42.9%
na 10
 
11.9%
할인 2
 
2.4%
한라산/사려니숲길셔틀버스운영 1
 
1.2%
카페포엠이용시10%할인 1
 
1.2%
천연편백통나무건강주택/크로베산방/크로베한라2개동운영/기본4인,최대6인/연박시2번째날부터3만원할인/추가인원1인1박당2만원/바베큐웨버가스그릴임대유료 1
 
1.2%
함덕1등/최고최대파티게스트하우스 1
 
1.2%
주차무료/예약 1
 
1.2%
운영특이사항 1
 
1.2%
연박시5만원할인 1
 
1.2%
Other values (29) 29
34.5%

Unnamed: 11
Text

MISSING 

Distinct59
Distinct (%)95.2%
Missing8
Missing (%)11.4%
Memory size692.0 B
2023-12-12T04:33:51.627092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length42
Mean length31.064516
Min length2

Characters and Unicode

Total characters1926
Distinct characters196
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)93.5%

Sample

1st row편의시설(무조건띄어쓰기없이 '/'로 구분)
2nd row수영장/바비큐장/와이파이/파티/독채/복층/개별바비큐/침대방/가족실/해수욕장
3rd row주방/무선인터넷/세탁기/주차/자쿠지
4th row주방/거실/인덕션/캡슐커피머신/에어프라이어/좌식방/다락방
5th row주차/예약/무선인터넷
ValueCountFrequency (%)
주차/예약/무선인터넷 4
 
6.2%
독채/모던/바닷가/신축 1
 
1.6%
2인실/침대방/도미토리/단체/가족실/투어/모던/체험활동/파티/와이파이/해수욕장/바닷가/수상레저/공용시설 1
 
1.6%
바닷가/공용시설/침대방/바비큐장/투어 1
 
1.6%
침대방/2인실/가족실/조식제공/픽업/와이파이/공용시설/신축/해수욕장/수상레저/바닷가/온돌방 1
 
1.6%
독채/단체/복층/개별바비큐/온돌방/침대방/바비큐장/조식제공/와이파이/신축/모던/해수욕장/바닷가/스파/2인실/가족실/수상레저 1
 
1.6%
파티/신축/해수욕장/도미토리/바닷가/침대방/와이파이/공용시설/픽업/단체 1
 
1.6%
개별바비큐/독채/침대방/단체/복층/가족실/해수욕장/바닷가/바비큐장/와이파이/파티/신축/수상레저 1
 
1.6%
예약/남녀화장실구분 1
 
1.6%
풀빌라/스파/독채/단체/복층/개별바비큐/침대방/2인실/가족실/수영장/신축/모던 1
 
1.6%
Other values (51) 51
79.7%
2023-12-12T04:33:52.007747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 397
 
20.6%
장 63
 
3.3%
바 53
 
2.8%
이 49
 
2.5%
수 48
 
2.5%
실 46
 
2.4%
가 46
 
2.4%
방 44
 
2.3%
인 39
 
2.0%
파 39
 
2.0%
Other values (186) 1102
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1504
78.1%
Other Punctuation 399
 
20.7%
Decimal Number 15
 
0.8%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Space Separator 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 63
 
4.2%
바 53
 
3.5%
이 49
 
3.3%
수 48
 
3.2%
실 46
 
3.1%
가 46
 
3.1%
방 44
 
2.9%
인 39
 
2.6%
파 39
 
2.6%
대 28
 
1.9%
Other values (178) 1049
69.7%
Other Punctuation
ValueCountFrequency (%)
/ 397
99.5%
' 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1504
78.1%
Common 420
 
21.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 63
 
4.2%
바 53
 
3.5%
이 49
 
3.3%
수 48
 
3.2%
실 46
 
3.1%
가 46
 
3.1%
방 44
 
2.9%
인 39
 
2.6%
파 39
 
2.6%
대 28
 
1.9%
Other values (178) 1049
69.7%
Common
ValueCountFrequency (%)
/ 397
94.5%
2 15
 
3.6%
( 2
 
0.5%
) 2
 
0.5%
' 2
 
0.5%
2
 
0.5%
Latin
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1504
78.1%
ASCII 422
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 397
94.1%
2 15
 
3.6%
( 2
 
0.5%
) 2
 
0.5%
' 2
 
0.5%
2
 
0.5%
V 1
 
0.2%
T 1
 
0.2%
Hangul
ValueCountFrequency (%)
장 63
 
4.2%
바 53
 
3.5%
이 49
 
3.3%
수 48
 
3.2%
실 46
 
3.1%
가 46
 
3.1%
방 44
 
2.9%
인 39
 
2.6%
파 39
 
2.6%
대 28
 
1.9%
Other values (178) 1049
69.7%

Unnamed: 12
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
펜션
36 
게스트하우스
13 
민박
7 
호텔
4 
<NA>
 
3
Other values (6)
7 

Length

Max length6
Median length2
Mean length2.9571429
Min length2

Unique

Unique5 ?
Unique (%)7.1%

Sample

1st row<NA>
2nd row유형
3rd row펜션
4th row펜션
5th row펜션

Common Values

ValueCountFrequency (%)
펜션 36
51.4%
게스트하우스 13
 
18.6%
민박 7
 
10.0%
호텔 4
 
5.7%
<NA> 3
 
4.3%
풀빌라 2
 
2.9%
유형 1
 
1.4%
독채펜션 1
 
1.4%
호스텔 1
 
1.4%
캠핑/야영장 1
 
1.4%

Length

2023-12-12T04:33:52.159206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
펜션 36
51.4%
게스트하우스 13
 
18.6%
민박 7
 
10.0%
호텔 4
 
5.7%
na 3
 
4.3%
풀빌라 2
 
2.9%
유형 1
 
1.4%
독채펜션 1
 
1.4%
호스텔 1
 
1.4%
캠핑/야영장 1
 
1.4%

Correlations

2023-12-12T04:33:52.266057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 10Unnamed: 11Unnamed: 12
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 51.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0001.0000.9800.996
Unnamed: 101.0001.0001.0001.0001.0001.0001.0000.9770.964
Unnamed: 111.0001.0001.0001.0001.0000.9800.9771.0000.983
Unnamed: 121.0001.0001.0001.0001.0000.9960.9640.9831.000
2023-12-12T04:33:52.419993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 12Unnamed: 10
Unnamed: 121.0000.651
Unnamed: 100.6511.000
2023-12-12T04:33:52.551651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 10Unnamed: 12
Unnamed: 101.0000.651
Unnamed: 120.6511.000

Missing values

2023-12-12T04:33:44.924299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:33:45.225071image/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.
2023-12-12T04:33:45.500503image/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

Unnamed: 0숙박지 2021.3월 68건Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0<NA>NaN<NA><NA><NA><NA><NA><NA>NaNNaN<NA><NA><NA>
1<NA>NO명칭동의어전화번호도로명주소지번주소홈페이지입실시간(HH:MM)퇴실시간(HH:MM)운영특이사항편의시설(무조건띄어쓰기없이 '/'로 구분)유형
2<NA>879다몽채민박<NA>010-3777-3758제주 제주시 애월읍 번대동2길 13수산리 660-1http://blog.naver.com/damongchae_jeju16:00:0011:00:00없음수영장/바비큐장/와이파이/파티/독채/복층/개별바비큐/침대방/가족실/해수욕장펜션
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60<NA>1553월정리쉼표<NA>0507-1341-0144제주시 구좌읍 월정3길 57월정리 550-4https://blog.naver.com/prettyhouse2018NaNNaN<NA>주차/예약/무선인터넷/유아시설펜션
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