Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells2
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory44.3 B

Variable types

Unsupported2
Text2
Categorical1

Alerts

Unnamed: 1 has 1 (3.2%) missing valuesMissing
Unnamed: 2 has 1 (3.2%) missing valuesMissing
중저가 숙박시설(2014년8월) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:21:03.849396
Analysis finished2024-03-14 01:21:04.312589
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

중저가 숙박시설(2014년8월)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size380.0 B

Unnamed: 1
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-03-14T10:21:04.444093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length5.9333333
Min length3

Characters and Unicode

Total characters178
Distinct characters78
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

Unique30 ?
Unique (%)100.0%

Sample

1st row시 설 명
2nd row전주호텔한성
3rd row화이트관광호텔
4th row궁관광호텔
5th row풍남관광호텔
ValueCountFrequency (%)
시 1
 
2.8%
설 1
 
2.8%
군산뉴그랜드모텔 1
 
2.8%
왕궁온천장 1
 
2.8%
세르빌호텔 1
 
2.8%
산정호텔 1
 
2.8%
지리산칸호텔(구 1
 
2.8%
지리산파크텔 1
 
2.8%
남원 1
 
2.8%
한일파크 1
 
2.8%
Other values (26) 26
72.2%
2024-03-14T10:21:04.742625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 26
 
14.6%
호 19
 
10.7%
스 6
 
3.4%
6
 
3.4%
리 6
 
3.4%
산 5
 
2.8%
관 5
 
2.8%
모 5
 
2.8%
광 5
 
2.8%
주 4
 
2.2%
Other values (68) 91
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
94.9%
Space Separator 6
 
3.4%
Uppercase Letter 1
 
0.6%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 26
 
15.4%
호 19
 
11.2%
스 6
 
3.6%
리 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
모 5
 
3.0%
광 5
 
3.0%
주 4
 
2.4%
르 3
 
1.8%
Other values (64) 85
50.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
94.9%
Common 8
 
4.5%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 26
 
15.4%
호 19
 
11.2%
스 6
 
3.6%
리 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
모 5
 
3.0%
광 5
 
3.0%
주 4
 
2.4%
르 3
 
1.8%
Other values (64) 85
50.3%
Common
ValueCountFrequency (%)
6
75.0%
) 1
 
12.5%
( 1
 
12.5%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
94.9%
ASCII 9
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 26
 
15.4%
호 19
 
11.2%
스 6
 
3.6%
리 6
 
3.6%
산 5
 
3.0%
관 5
 
3.0%
모 5
 
3.0%
광 5
 
3.0%
주 4
 
2.4%
르 3
 
1.8%
Other values (64) 85
50.3%
ASCII
ValueCountFrequency (%)
6
66.7%
S 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%

Unnamed: 2
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-03-14T10:21:04.966126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length15.066667
Min length5

Characters and Unicode

Total characters452
Distinct characters78
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 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
 
9.6%
덕진구 8
 
7.0%
군산시 4
 
3.5%
완산구 3
 
2.6%
남원시 3
 
2.6%
부안군 3
 
2.6%
산정2길 3
 
2.6%
순창군 2
 
1.8%
12-4 2
 
1.8%
33 2
 
1.8%
Other values (69) 73
64.0%
2024-03-14T10:21:05.283872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
18.6%
1 23
 
5.1%
시 21
 
4.6%
산 20
 
4.4%
2 18
 
4.0%
주 16
 
3.5%
길 15
 
3.3%
로 13
 
2.9%
전 13
 
2.9%
- 13
 
2.9%
Other values (68) 216
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
57.7%
Decimal Number 94
 
20.8%
Space Separator 84
 
18.6%
Dash Punctuation 13
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 21
 
8.0%
산 20
 
7.7%
주 16
 
6.1%
길 15
 
5.7%
로 13
 
5.0%
전 13
 
5.0%
군 12
 
4.6%
구 11
 
4.2%
진 10
 
3.8%
면 8
 
3.1%
Other values (56) 122
46.7%
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 (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
57.7%
Common 191
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 21
 
8.0%
산 20
 
7.7%
주 16
 
6.1%
길 15
 
5.7%
로 13
 
5.0%
전 13
 
5.0%
군 12
 
4.6%
구 11
 
4.2%
진 10
 
3.8%
면 8
 
3.1%
Other values (56) 122
46.7%
Common
ValueCountFrequency (%)
84
44.0%
1 23
 
12.0%
2 18
 
9.4%
- 13
 
6.8%
3 12
 
6.3%
4 11
 
5.8%
5 8
 
4.2%
7 7
 
3.7%
6 6
 
3.1%
9 5
 
2.6%
Other values (2) 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
57.7%
ASCII 191
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
44.0%
1 23
 
12.0%
2 18
 
9.4%
- 13
 
6.8%
3 12
 
6.3%
4 11
 
5.8%
5 8
 
4.2%
7 7
 
3.7%
6 6
 
3.1%
9 5
 
2.6%
Other values (2) 4
 
2.1%
Hangul
ValueCountFrequency (%)
시 21
 
8.0%
산 20
 
7.7%
주 16
 
6.1%
길 15
 
5.7%
로 13
 
5.0%
전 13
 
5.0%
군 12
 
4.6%
구 11
 
4.2%
진 10
 
3.8%
면 8
 
3.1%
Other values (56) 122
46.7%

Unnamed: 3
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size380.0 B

Unnamed: 4
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
굿스테이
22 
관광호텔
7 
비 고
 
1
<NA>
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row비 고
2nd row<NA>
3rd row관광호텔
4th row관광호텔
5th row관광호텔

Common Values

ValueCountFrequency (%)
굿스테이 22
71.0%
관광호텔 7
 
22.6%
비 고 1
 
3.2%
<NA> 1
 
3.2%

Length

2024-03-14T10:21:05.397514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:21:05.488453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
굿스테이 22
68.8%
관광호텔 7
 
21.9%
비 1
 
3.1%
고 1
 
3.1%
na 1
 
3.1%

Correlations

2024-03-14T10:21:05.767495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 4
Unnamed: 11.0001.0001.000
Unnamed: 21.0001.0001.000
Unnamed: 41.0001.0001.000

Missing values

2024-03-14T10:21:04.050881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:21:04.175138image/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.
2024-03-14T10:21:04.262947image/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(2014년8월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
0연번시 설 명소 재 지객실수비 고
1계<NA><NA>1069<NA>
21전주호텔한성전주시 완산구 전주객사5길 44-540관광호텔
32화이트관광호텔전주시 덕진구 전주천동로 50135관광호텔
43궁관광호텔전주시 덕진구 용산1길 17-430관광호텔
54풍남관광호텔전주시 완산구 객사2길 45-763관광호텔
65전주관광호텔전주시 완산구 객사5길 44-546관광호텔
76해뜨는언덕 관광호텔군산시 부곡3길 640관광호텔
87채석강스타힐스 호텔부안군 변산면 채석강길 3335관광호텔
98라뉘호텔전주시 덕진구 송천중앙로 12-432굿스테이
중저가 숙박시설(2014년8월)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
2120지리산칸호텔(구 지리산파크텔)남원시 산내면 지리산로 81536굿스테이
2221남원 한일파크남원시 용성로 112-133굿스테이
2322남원호텔남원시 주천면 정령치로 122-1136굿스테이
2423마이산모텔진안군 진안읍 마이산로 26330굿스테이
2524무주이리스모텔무주군 무주읍 한풍루로 381-750굿스테이
2625장수온천호텔장수군 번암면 장수로 673-1430굿스테이
2726영빈호텔순창군 순창읍 순창로 22236굿스테이
2827S모텔순창군 순창읍 옥천로 3330굿스테이
2928채석리조텔오크빌부안군 변산면 격포로 19630굿스테이
3029샤르모텔부안군 부안읍 석정로 199-433굿스테이