Overview

Dataset statistics

Number of variables10
Number of observations34
Missing cells22
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory83.9 B

Variable types

Unsupported2
Categorical2
Text6

Alerts

Unnamed: 1 is highly overall correlated with Unnamed: 9High correlation
Unnamed: 9 is highly overall correlated with Unnamed: 1High correlation
Unnamed: 9 is highly imbalanced (55.3%)Imbalance
Unnamed: 6 has 10 (29.4%) missing valuesMissing
Unnamed: 7 has 12 (35.3%) missing valuesMissing
Unnamed: 2 has unique valuesUnique
Unnamed: 3 has unique valuesUnique
Unnamed: 5 has unique valuesUnique
중저가 숙박시설(2016년7월) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:31:23.568599
Analysis finished2024-03-14 01:31:24.179391
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

중저가 숙박시설(2016년7월)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 1
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
굿스테이
26 
관광호텔
7 
구분
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row구분
2nd row관광호텔
3rd row관광호텔
4th row관광호텔
5th row관광호텔

Common Values

ValueCountFrequency (%)
굿스테이 26
76.5%
관광호텔 7
 
20.6%
구분 1
 
2.9%

Length

2024-03-14T10:31:24.235972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:31:24.348865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
굿스테이 26
76.5%
관광호텔 7
 
20.6%
구분 1
 
2.9%

Unnamed: 2
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:31:24.595559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.1470588
Min length3

Characters and Unicode

Total characters209
Distinct characters86
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row시 설 명
2nd row전주호텔한성
3rd row화이트관광호텔
4th row궁관광호텔
5th row풍남관광호텔
ValueCountFrequency (%)
시 1
 
2.4%
왕궁온천장 1
 
2.4%
로망스모텔 1
 
2.4%
파라다이스모텔 1
 
2.4%
진안장여관 1
 
2.4%
샤르모텔 1
 
2.4%
채석리조텔오크빌 1
 
2.4%
s모텔 1
 
2.4%
전주호텔한성 1
 
2.4%
영빈호텔 1
 
2.4%
Other values (31) 31
75.6%
2024-03-14T10:31:25.004327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 29
 
13.9%
호 19
 
9.1%
스 8
 
3.8%
모 8
 
3.8%
7
 
3.3%
리 7
 
3.3%
관 6
 
2.9%
산 6
 
2.9%
광 5
 
2.4%
이 5
 
2.4%
Other values (76) 109
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
94.3%
Space Separator 7
 
3.3%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 29
 
14.7%
호 19
 
9.6%
스 8
 
4.1%
모 8
 
4.1%
리 7
 
3.6%
관 6
 
3.0%
산 6
 
3.0%
광 5
 
2.5%
이 5
 
2.5%
주 4
 
2.0%
Other values (72) 100
50.8%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
94.3%
Common 11
 
5.3%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 29
 
14.7%
호 19
 
9.6%
스 8
 
4.1%
모 8
 
4.1%
리 7
 
3.6%
관 6
 
3.0%
산 6
 
3.0%
광 5
 
2.5%
이 5
 
2.5%
주 4
 
2.0%
Other values (72) 100
50.8%
Common
ValueCountFrequency (%)
7
63.6%
( 2
 
18.2%
) 2
 
18.2%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
94.3%
ASCII 12
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 29
 
14.7%
호 19
 
9.6%
스 8
 
4.1%
모 8
 
4.1%
리 7
 
3.6%
관 6
 
3.0%
산 6
 
3.0%
광 5
 
2.5%
이 5
 
2.5%
주 4
 
2.0%
Other values (72) 100
50.8%
ASCII
ValueCountFrequency (%)
7
58.3%
( 2
 
16.7%
) 2
 
16.7%
S 1
 
8.3%

Unnamed: 3
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:31:25.233479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16.5
Mean length14.852941
Min length5

Characters and Unicode

Total characters505
Distinct characters82
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

Unique34 ?
Unique (%)100.0%

Sample

1st row소 재 지
2nd row전주시 완산구 전주객사5길 44-5
3rd row전주시 덕진구 전주천동로 501
4th row전주시 덕진구 용산1길 17-4
5th row전주시 완산구 객사2길 45-7
ValueCountFrequency (%)
전주시 11
 
8.7%
덕진구 8
 
6.3%
남원시 5
 
3.9%
군산시 5
 
3.9%
완산구 3
 
2.4%
부안군 3
 
2.4%
산정2길 3
 
2.4%
33 2
 
1.6%
진안군 2
 
1.6%
정읍시 2
 
1.6%
Other values (76) 83
65.4%
2024-03-14T10:31:25.555580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
18.4%
1 29
 
5.7%
시 24
 
4.8%
산 21
 
4.2%
2 20
 
4.0%
길 17
 
3.4%
주 16
 
3.2%
- 15
 
3.0%
군 14
 
2.8%
로 14
 
2.8%
Other values (72) 242
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
57.0%
Decimal Number 109
 
21.6%
Space Separator 93
 
18.4%
Dash Punctuation 15
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 24
 
8.3%
산 21
 
7.3%
길 17
 
5.9%
주 16
 
5.6%
군 14
 
4.9%
로 14
 
4.9%
전 13
 
4.5%
진 13
 
4.5%
구 11
 
3.8%
정 9
 
3.1%
Other values (60) 136
47.2%
Decimal Number
ValueCountFrequency (%)
1 29
26.6%
2 20
18.3%
3 12
11.0%
4 11
 
10.1%
5 9
 
8.3%
7 9
 
8.3%
6 7
 
6.4%
9 5
 
4.6%
8 4
 
3.7%
0 3
 
2.8%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
57.0%
Common 217
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 24
 
8.3%
산 21
 
7.3%
길 17
 
5.9%
주 16
 
5.6%
군 14
 
4.9%
로 14
 
4.9%
전 13
 
4.5%
진 13
 
4.5%
구 11
 
3.8%
정 9
 
3.1%
Other values (60) 136
47.2%
Common
ValueCountFrequency (%)
93
42.9%
1 29
 
13.4%
2 20
 
9.2%
- 15
 
6.9%
3 12
 
5.5%
4 11
 
5.1%
5 9
 
4.1%
7 9
 
4.1%
6 7
 
3.2%
9 5
 
2.3%
Other values (2) 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
57.0%
ASCII 217
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
42.9%
1 29
 
13.4%
2 20
 
9.2%
- 15
 
6.9%
3 12
 
5.5%
4 11
 
5.1%
5 9
 
4.1%
7 9
 
4.1%
6 7
 
3.2%
9 5
 
2.3%
Other values (2) 7
 
3.2%
Hangul
ValueCountFrequency (%)
시 24
 
8.3%
산 21
 
7.3%
길 17
 
5.9%
주 16
 
5.6%
군 14
 
4.9%
로 14
 
4.9%
전 13
 
4.5%
진 13
 
4.5%
구 11
 
3.8%
정 9
 
3.1%
Other values (60) 136
47.2%

Unnamed: 4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Unnamed: 5
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:31:25.730190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.764706
Min length4

Characters and Unicode

Total characters400
Distinct characters15
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

Unique34 ?
Unique (%)100.0%

Sample

1st row전화번호
2nd row063-288-0014
3rd row063-271-0123
4th row063-255-3311
5th row063-231-7900
ValueCountFrequency (%)
전화번호 1
 
2.9%
063-288-0014 1
 
2.9%
063-631-2536 1
 
2.9%
063-452-3388 1
 
2.9%
063-433-6776 1
 
2.9%
063-584-9931 1
 
2.9%
063-583-8046 1
 
2.9%
063-653-3960 1
 
2.9%
063-653-6060 1
 
2.9%
063-245-4848 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T10:31:26.042260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 66
16.5%
- 66
16.5%
0 59
14.8%
6 54
13.5%
2 28
7.0%
4 28
7.0%
5 27
6.8%
1 21
 
5.2%
8 18
 
4.5%
7 17
 
4.2%
Other values (5) 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
82.5%
Dash Punctuation 66
 
16.5%
Other Letter 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 66
20.0%
0 59
17.9%
6 54
16.4%
2 28
8.5%
4 28
8.5%
5 27
8.2%
1 21
 
6.4%
8 18
 
5.5%
7 17
 
5.2%
9 12
 
3.6%
Other Letter
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
99.0%
Hangul 4
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 66
16.7%
- 66
16.7%
0 59
14.9%
6 54
13.6%
2 28
7.1%
4 28
7.1%
5 27
6.8%
1 21
 
5.3%
8 18
 
4.5%
7 17
 
4.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
99.0%
Hangul 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 66
16.7%
- 66
16.7%
0 59
14.9%
6 54
13.6%
2 28
7.1%
4 28
7.1%
5 27
6.8%
1 21
 
5.3%
8 18
 
4.5%
7 17
 
4.3%
Hangul
ValueCountFrequency (%)
전 1
25.0%
화 1
25.0%
번 1
25.0%
호 1
25.0%

Unnamed: 6
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing10
Missing (%)29.4%
Memory size404.0 B
2024-03-14T10:31:26.216452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20.5
Mean length17.25
Min length4

Characters and Unicode

Total characters414
Distinct characters40
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row홈페이지
2nd rowhansunghotel.alltheway.kr
3rd rowwhitehotel.kr
4th rowwww.jjgung.co.kr
5th rowwww.pungnamhotel.com
ValueCountFrequency (%)
hansunghotel.alltheway.kr 1
 
4.2%
whitehotel.kr 1
 
4.2%
hoteljeonju.com 1
 
4.2%
www.jangsuhotel.com 1
 
4.2%
마이산펜션.kr 1
 
4.2%
www.namwonhotel.com 1
 
4.2%
www.jirisankhanhotel.com 1
 
4.2%
www.내장산펜션.kr 1
 
4.2%
www.wgspa.co.kr 1
 
4.2%
blog.naver.com/newgrand1 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T10:31:26.511173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 57
13.8%
. 51
12.3%
o 34
 
8.2%
r 25
 
6.0%
e 24
 
5.8%
l 24
 
5.8%
n 23
 
5.6%
c 19
 
4.6%
a 18
 
4.3%
t 18
 
4.3%
Other values (30) 121
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 342
82.6%
Other Punctuation 52
 
12.6%
Other Letter 14
 
3.4%
Decimal Number 4
 
1.0%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 57
16.7%
o 34
9.9%
r 25
 
7.3%
e 24
 
7.0%
l 24
 
7.0%
n 23
 
6.7%
c 19
 
5.6%
a 18
 
5.3%
t 18
 
5.3%
h 17
 
5.0%
Other values (13) 83
24.3%
Other Letter
ValueCountFrequency (%)
이 2
14.3%
션 2
14.3%
펜 2
14.3%
산 2
14.3%
내 1
7.1%
마 1
7.1%
장 1
7.1%
지 1
7.1%
페 1
7.1%
홈 1
7.1%
Decimal Number
ValueCountFrequency (%)
6 1
25.0%
0 1
25.0%
1 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 51
98.1%
/ 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 342
82.6%
Common 58
 
14.0%
Hangul 14
 
3.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 57
16.7%
o 34
9.9%
r 25
 
7.3%
e 24
 
7.0%
l 24
 
7.0%
n 23
 
6.7%
c 19
 
5.6%
a 18
 
5.3%
t 18
 
5.3%
h 17
 
5.0%
Other values (13) 83
24.3%
Hangul
ValueCountFrequency (%)
이 2
14.3%
션 2
14.3%
펜 2
14.3%
산 2
14.3%
내 1
7.1%
마 1
7.1%
장 1
7.1%
지 1
7.1%
페 1
7.1%
홈 1
7.1%
Common
ValueCountFrequency (%)
. 51
87.9%
- 2
 
3.4%
6 1
 
1.7%
0 1
 
1.7%
1 1
 
1.7%
/ 1
 
1.7%
3 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
96.6%
Hangul 14
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 57
14.2%
. 51
12.8%
o 34
 
8.5%
r 25
 
6.2%
e 24
 
6.0%
l 24
 
6.0%
n 23
 
5.8%
c 19
 
4.8%
a 18
 
4.5%
t 18
 
4.5%
Other values (20) 107
26.8%
Hangul
ValueCountFrequency (%)
이 2
14.3%
션 2
14.3%
펜 2
14.3%
산 2
14.3%
내 1
7.1%
마 1
7.1%
장 1
7.1%
지 1
7.1%
페 1
7.1%
홈 1
7.1%

Unnamed: 7
Text

MISSING 

Distinct18
Distinct (%)81.8%
Missing12
Missing (%)35.3%
Memory size404.0 B
2024-03-14T10:31:26.670654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.181818
Min length4

Characters and Unicode

Total characters224
Distinct characters70
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

Unique15 ?
Unique (%)68.2%

Sample

1st row부대시설
2nd row세미나실, 조식식당
3rd row세미나룸, 브랙퍼스트바
4th row세미나룸, 비즈니스룸, 한식당
5th row연회장, 커피숍, 인터넷센터
ValueCountFrequency (%)
세미나실 5
 
11.1%
식음료장 4
 
8.9%
한식당 2
 
4.4%
비즈니스센터 2
 
4.4%
비즈니스실 2
 
4.4%
연회장 2
 
4.4%
휴게실 2
 
4.4%
세미나룸 2
 
4.4%
사우나실 2
 
4.4%
비즈니스룸 1
 
2.2%
Other values (21) 21
46.7%
2024-03-14T10:31:27.066252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.3%
, 23
 
10.3%
실 16
 
7.1%
나 11
 
4.9%
식 10
 
4.5%
장 10
 
4.5%
미 7
 
3.1%
세 7
 
3.1%
스 6
 
2.7%
연 5
 
2.2%
Other values (60) 106
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
79.5%
Space Separator 23
 
10.3%
Other Punctuation 23
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 16
 
9.0%
나 11
 
6.2%
식 10
 
5.6%
장 10
 
5.6%
미 7
 
3.9%
세 7
 
3.9%
스 6
 
3.4%
연 5
 
2.8%
비 5
 
2.8%
즈 5
 
2.8%
Other values (58) 96
53.9%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
79.5%
Common 46
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 16
 
9.0%
나 11
 
6.2%
식 10
 
5.6%
장 10
 
5.6%
미 7
 
3.9%
세 7
 
3.9%
스 6
 
3.4%
연 5
 
2.8%
비 5
 
2.8%
즈 5
 
2.8%
Other values (58) 96
53.9%
Common
ValueCountFrequency (%)
23
50.0%
, 23
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
79.5%
ASCII 46
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
50.0%
, 23
50.0%
Hangul
ValueCountFrequency (%)
실 16
 
9.0%
나 11
 
6.2%
식 10
 
5.6%
장 10
 
5.6%
미 7
 
3.9%
세 7
 
3.9%
스 6
 
3.4%
연 5
 
2.8%
비 5
 
2.8%
즈 5
 
2.8%
Other values (58) 96
53.9%

Unnamed: 8
Text

Distinct26
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:31:27.286283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22.5
Mean length18.029412
Min length5

Characters and Unicode

Total characters613
Distinct characters130
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

Unique20 ?
Unique (%)58.8%

Sample

1st row주변관광지
2nd row전주객사, 영화의 거리, 한옥마을
3rd row전주한옥마을, 덕진공원
4th row전주한옥마을, 덕진공원
5th row전주한옥마을, 전주객사, 영화의 거리
ValueCountFrequency (%)
전주한옥마을 9
 
8.7%
전주덕진공원 6
 
5.8%
군산근대역사박물관 4
 
3.8%
광한루 4
 
3.8%
춘향테마파크 3
 
2.9%
내소사 3
 
2.9%
새만금방조제 3
 
2.9%
전주동물원 2
 
1.9%
진안홍삼 2
 
1.9%
마이산 2
 
1.9%
Other values (53) 66
63.5%
2024-03-14T10:31:27.597467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
11.6%
, 58
 
9.5%
주 23
 
3.8%
마 23
 
3.8%
전 22
 
3.6%
산 18
 
2.9%
원 17
 
2.8%
사 15
 
2.4%
을 14
 
2.3%
한 14
 
2.3%
Other values (120) 338
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
79.0%
Space Separator 71
 
11.6%
Other Punctuation 58
 
9.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
4.8%
마 23
 
4.8%
전 22
 
4.5%
산 18
 
3.7%
원 17
 
3.5%
사 15
 
3.1%
을 14
 
2.9%
한 14
 
2.9%
진 12
 
2.5%
옥 12
 
2.5%
Other values (118) 314
64.9%
Space Separator
ValueCountFrequency (%)
71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
79.0%
Common 129
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
4.8%
마 23
 
4.8%
전 22
 
4.5%
산 18
 
3.7%
원 17
 
3.5%
사 15
 
3.1%
을 14
 
2.9%
한 14
 
2.9%
진 12
 
2.5%
옥 12
 
2.5%
Other values (118) 314
64.9%
Common
ValueCountFrequency (%)
71
55.0%
, 58
45.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
79.0%
ASCII 129
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
55.0%
, 58
45.0%
Hangul
ValueCountFrequency (%)
주 23
 
4.8%
마 23
 
4.8%
전 22
 
4.5%
산 18
 
3.7%
원 17
 
3.5%
사 15
 
3.1%
을 14
 
2.9%
한 14
 
2.9%
진 12
 
2.5%
옥 12
 
2.5%
Other values (118) 314
64.9%

Unnamed: 9
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2015.08.30
29 
2016.07.29
4 
데이터기준일
 
1

Length

Max length10
Median length10
Mean length9.8823529
Min length6

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row데이터기준일
2nd row2015.08.30
3rd row2015.08.30
4th row2015.08.30
5th row2015.08.30

Common Values

ValueCountFrequency (%)
2015.08.30 29
85.3%
2016.07.29 4
 
11.8%
데이터기준일 1
 
2.9%

Length

2024-03-14T10:31:27.709625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:31:27.798420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.08.30 29
85.3%
2016.07.29 4
 
11.8%
데이터기준일 1
 
2.9%

Correlations

2024-03-14T10:31:27.867590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
Unnamed: 11.0001.0001.0001.0001.0001.0000.9110.940
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 51.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0000.7931.000
Unnamed: 80.9111.0001.0001.0001.0000.7931.0000.924
Unnamed: 90.9401.0001.0001.0001.0001.0000.9241.000
2024-03-14T10:31:27.979521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 9Unnamed: 1
Unnamed: 91.0000.698
Unnamed: 10.6981.000
2024-03-14T10:31:28.043523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 9
Unnamed: 11.0000.698
Unnamed: 90.6981.000

Missing values

2024-03-14T10:31:23.939976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:31:24.056905image/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.
2024-03-14T10:31:24.138558image/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

중저가 숙박시설(2016년7월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
0연번구분시 설 명소 재 지객실수전화번호홈페이지부대시설주변관광지데이터기준일
11관광호텔전주호텔한성전주시 완산구 전주객사5길 44-540063-288-0014hansunghotel.alltheway.kr세미나실, 조식식당전주객사, 영화의 거리, 한옥마을2015.08.30
22관광호텔화이트관광호텔전주시 덕진구 전주천동로 50135063-271-0123whitehotel.kr세미나룸, 브랙퍼스트바전주한옥마을, 덕진공원2015.08.30
33관광호텔궁관광호텔전주시 덕진구 용산1길 17-430063-255-3311www.jjgung.co.kr세미나룸, 비즈니스룸, 한식당전주한옥마을, 덕진공원2015.08.30
44관광호텔풍남관광호텔전주시 완산구 객사2길 45-763063-231-7900www.pungnamhotel.com연회장, 커피숍, 인터넷센터전주한옥마을, 전주객사, 영화의 거리2015.08.30
55관광호텔전주관광호텔전주시 완산구 객사5길 44-546063-280-7700jeonjuhotel.co.kr웨딩홀, 연회장, 건식사우나실전주하옥마을, 전동성당, 남부시장2015.08.30
66관광호텔해뜨는언덕 관광호텔군산시 부곡3길 640063-468-0707www.fmotel.co.kr비즈니스실, 휴게실군산근대역사박물관, 새만금방조제2015.08.30
77관광호텔채석강스타힐스 호텔부안군 변산면 채석강길 3335063-581-9911www.starhillshotel.com마사지실, 식음료장, 바베큐장, 노래연습장채석강, 내소사, 부안영상테마파크2015.08.30
88굿스테이라뉘호텔전주시 덕진구 송천중앙로 12-432063-253-5707www.lanuit.co.kr<NA>전주덕진공원, 전주한옥마을2015.08.30
99굿스테이르시엘호텔전주시 덕진구 산정2길 2332063-245-4848www.lecielhotel.co.kr<NA>전주한옥마을, 전주덕진공원2015.08.30
중저가 숙박시설(2016년7월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9
2424굿스테이무주이리스모텔무주군 무주읍 한풍루로 381-750063-324-3400<NA><NA>무주 반딧불 축제, 무주 전통공예테마파크,2015.08.30
2525굿스테이장수온천호텔장수군 번암면 장수로 673-1430063-353-5555www.jangsuhotel.com식당, 사우나, 다목적실덕유산국립공원, 방화동자연휴양림, 장안산2015.08.30
2626굿스테이영빈호텔순창군 순창읍 순창로 22236063-653-6060<NA><NA>강천산, 회문산, 고추장 민속마을, 섬진강향가유원지2015.08.30
2727굿스테이S모텔순창군 순창읍 옥천로 3330063-653-3960<NA>비즈니스센터강천산, 회문산, 고추장 민속마을, 섬진강향가유원지2015.08.30
2828굿스테이채석리조텔오크빌부안군 변산면 격포로 19630063-583-8046www.csr063.co.kr식음료장내소사, 개암사, 낙조대, 직소폭포, 변산해수욕장2015.08.30
2929굿스테이샤르모텔부안군 부안읍 석정로 199-433063-584-9931<NA><NA>채석강, 내소사, 부안영상테마파크2015.08.30
3030굿스테이진안장여관진안군 진안읍 진무로 1100-631063-433-6776<NA><NA>마이산, 진안홍삼, 운일암 반일암, 풍혈냉천2016.07.29
3131굿스테이파라다이스모텔군산시 조촌1길 2137063-452-3388<NA><NA>경암동 철길마을, 근대역사박물관, 동국사 등2016.07.29
3232굿스테이로망스모텔남원시 옥정5길 12-832063-631-2536<NA><NA>춘향테마파크, 광한루2016.07.29
3333굿스테이발리모텔남원시 향교동 17730063-625-7801<NA><NA>춘향테마파크, 광한루2016.07.29