Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.4 B

Variable types

Text3
Categorical2

Alerts

객실수 is highly overall correlated with 비 고High correlation
비 고 is highly overall correlated with 객실수High correlation
연번 has unique valuesUnique
시 설 명 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:21:00.833692
Analysis finished2024-03-14 01:21:01.180757
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T10:21:01.292919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Characters and Unicode

Total characters50
Distinct characters11
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

Unique30 ?
Unique (%)100.0%

Sample

1st row계
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
계 1
 
3.3%
1 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
22 1
 
3.3%
21 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T10:21:01.611846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
26.0%
2 13
26.0%
3 3
 
6.0%
4 3
 
6.0%
5 3
 
6.0%
6 3
 
6.0%
7 3
 
6.0%
8 3
 
6.0%
9 3
 
6.0%
0 2
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
98.0%
Other Letter 1
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Other Letter
ValueCountFrequency (%)
계 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49
98.0%
Hangul 1
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Hangul
ValueCountFrequency (%)
계 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
98.0%
Hangul 1
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Hangul
ValueCountFrequency (%)
계 1
100.0%

시 설 명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T10:21:01.955005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length5.8
Min length1

Characters and Unicode

Total characters174
Distinct characters77
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row-
2nd row전주호텔한성
3rd row화이트관광호텔
4th row궁관광호텔
5th row풍남관광호텔
ValueCountFrequency (%)
1
 
2.9%
한일파크 1
 
2.9%
왕궁온천장 1
 
2.9%
세르빌호텔 1
 
2.9%
산정호텔 1
 
2.9%
지리산칸호텔(구 1
 
2.9%
지리산파크텔 1
 
2.9%
남원 1
 
2.9%
남원호텔 1
 
2.9%
전주호텔한성 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T10:21:02.245638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 26
 
14.9%
호 19
 
10.9%
리 6
 
3.4%
스 6
 
3.4%
산 5
 
2.9%
관 5
 
2.9%
광 5
 
2.9%
모 5
 
2.9%
주 4
 
2.3%
4
 
2.3%
Other values (67) 89
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
95.4%
Space Separator 4
 
2.3%
Uppercase Letter 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 26
 
15.7%
호 19
 
11.4%
리 6
 
3.6%
스 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
광 5
 
3.0%
모 5
 
3.0%
주 4
 
2.4%
이 3
 
1.8%
Other values (62) 82
49.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
95.4%
Common 7
 
4.0%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 26
 
15.7%
호 19
 
11.4%
리 6
 
3.6%
스 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
광 5
 
3.0%
모 5
 
3.0%
주 4
 
2.4%
이 3
 
1.8%
Other values (62) 82
49.4%
Common
ValueCountFrequency (%)
4
57.1%
( 1
 
14.3%
) 1
 
14.3%
- 1
 
14.3%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
95.4%
ASCII 8
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 26
 
15.7%
호 19
 
11.4%
리 6
 
3.6%
스 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
광 5
 
3.0%
모 5
 
3.0%
주 4
 
2.4%
이 3
 
1.8%
Other values (62) 82
49.4%
ASCII
ValueCountFrequency (%)
4
50.0%
S 1
 
12.5%
( 1
 
12.5%
) 1
 
12.5%
- 1
 
12.5%

소 재 지
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T10:21:02.450234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.933333
Min length1

Characters and Unicode

Total characters448
Distinct characters76
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

Unique30 ?
Unique (%)100.0%

Sample

1st row-
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
 
9.8%
덕진구 8
 
7.1%
군산시 4
 
3.6%
부안군 3
 
2.7%
산정2길 3
 
2.7%
완산구 3
 
2.7%
남원시 3
 
2.7%
순창읍 2
 
1.8%
12-4 2
 
1.8%
33 2
 
1.8%
Other values (67) 71
63.4%
2024-03-14T10:21:02.787876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
18.3%
1 23
 
5.1%
시 21
 
4.7%
산 20
 
4.5%
2 18
 
4.0%
주 16
 
3.6%
길 15
 
3.3%
- 14
 
3.1%
전 13
 
2.9%
로 13
 
2.9%
Other values (66) 213
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
57.6%
Decimal Number 94
 
21.0%
Space Separator 82
 
18.3%
Dash Punctuation 14
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21
 
8.1%
산 20
 
7.8%
주 16
 
6.2%
길 15
 
5.8%
전 13
 
5.0%
로 13
 
5.0%
군 12
 
4.7%
구 11
 
4.3%
진 10
 
3.9%
정 8
 
3.1%
Other values (54) 119
46.1%
Decimal Number
ValueCountFrequency (%)
1 23
24.5%
2 18
19.1%
3 12
12.8%
4 11
11.7%
5 8
 
8.5%
7 7
 
7.4%
6 6
 
6.4%
9 5
 
5.3%
8 3
 
3.2%
0 1
 
1.1%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
57.6%
Common 190
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21
 
8.1%
산 20
 
7.8%
주 16
 
6.2%
길 15
 
5.8%
전 13
 
5.0%
로 13
 
5.0%
군 12
 
4.7%
구 11
 
4.3%
진 10
 
3.9%
정 8
 
3.1%
Other values (54) 119
46.1%
Common
ValueCountFrequency (%)
82
43.2%
1 23
 
12.1%
2 18
 
9.5%
- 14
 
7.4%
3 12
 
6.3%
4 11
 
5.8%
5 8
 
4.2%
7 7
 
3.7%
6 6
 
3.2%
9 5
 
2.6%
Other values (2) 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
57.6%
ASCII 190
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
43.2%
1 23
 
12.1%
2 18
 
9.5%
- 14
 
7.4%
3 12
 
6.3%
4 11
 
5.8%
5 8
 
4.2%
7 7
 
3.7%
6 6
 
3.2%
9 5
 
2.6%
Other values (2) 4
 
2.1%
Hangul
ValueCountFrequency (%)
시 21
 
8.1%
산 20
 
7.8%
주 16
 
6.2%
길 15
 
5.8%
전 13
 
5.0%
로 13
 
5.0%
군 12
 
4.7%
구 11
 
4.3%
진 10
 
3.9%
정 8
 
3.1%
Other values (54) 119
46.1%

객실수
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
32
6 
30
5 
33
4 
40
3 
36
3 
Other values (8)
9 

Length

Max length5
Median length2
Mean length2.1
Min length2

Unique

Unique7 ?
Unique (%)23.3%

Sample

1st row1,069
2nd row40
3rd row35
4th row30
5th row63

Common Values

ValueCountFrequency (%)
32 6
20.0%
30 5
16.7%
33 4
13.3%
40 3
10.0%
36 3
10.0%
35 2
 
6.7%
1,069 1
 
3.3%
63 1
 
3.3%
46 1
 
3.3%
48 1
 
3.3%
Other values (3) 3
10.0%

Length

2024-03-14T10:21:02.909653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
32 6
20.0%
30 5
16.7%
33 4
13.3%
40 3
10.0%
36 3
10.0%
35 2
 
6.7%
1,069 1
 
3.3%
63 1
 
3.3%
46 1
 
3.3%
48 1
 
3.3%
Other values (3) 3
10.0%

비 고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
굿스테이
22 
관광호텔
7 
-
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row-
2nd row관광호텔
3rd row관광호텔
4th row관광호텔
5th row관광호텔

Common Values

ValueCountFrequency (%)
굿스테이 22
73.3%
관광호텔 7
 
23.3%
- 1
 
3.3%

Length

2024-03-14T10:21:03.008263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:21:03.087988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
굿스테이 22
73.3%
관광호텔 7
 
23.3%
1
 
3.3%

Correlations

2024-03-14T10:21:03.138715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시 설 명소 재 지객실수비 고
연번1.0001.0001.0001.0001.000
시 설 명1.0001.0001.0001.0001.000
소 재 지1.0001.0001.0001.0001.000
객실수1.0001.0001.0001.0000.931
비 고1.0001.0001.0000.9311.000
2024-03-14T10:21:03.220199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비 고객실수
비 고1.0000.694
객실수0.6941.000
2024-03-14T10:21:03.313169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수비 고
객실수1.0000.694
비 고0.6941.000

Missing values

2024-03-14T10:21:01.058368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:21:01.147970image/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.

Sample

연번시 설 명소 재 지객실수비 고
0계--1,069-
11전주호텔한성전주시 완산구 전주객사5길 44-540관광호텔
22화이트관광호텔전주시 덕진구 전주천동로 50135관광호텔
33궁관광호텔전주시 덕진구 용산1길 17-430관광호텔
44풍남관광호텔전주시 완산구 객사2길 45-763관광호텔
55전주관광호텔전주시 완산구 객사5길 44-546관광호텔
66해뜨는언덕 관광호텔군산시 부곡3길 640관광호텔
77채석강스타힐스 호텔부안군 변산면 채석강길 3335관광호텔
88라뉘호텔전주시 덕진구 송천중앙로 12-432굿스테이
99르시엘호텔전주시 덕진구 산정2길 2332굿스테이
연번시 설 명소 재 지객실수비 고
2020지리산칸호텔(구 지리산파크텔)남원시 산내면 지리산로 81536굿스테이
2121남원 한일파크남원시 용성로 112-133굿스테이
2222남원호텔남원시 주천면 정령치로 122-1136굿스테이
2323마이산모텔진안군 진안읍 마이산로 26330굿스테이
2424무주이리스모텔무주군 무주읍 한풍루로 381-750굿스테이
2525장수온천호텔장수군 번암면 장수로 673-1430굿스테이
2626영빈호텔순창군 순창읍 순창로 22236굿스테이
2727S모텔순창군 순창읍 옥천로 3330굿스테이
2828채석리조텔오크빌부안군 변산면 격포로 19630굿스테이
2929샤르모텔부안군 부안읍 석정로 199-433굿스테이