Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory68.7 B

Variable types

Categorical7
Text1

Dataset

Description상주시 은척면에 위치한 상주 성주봉자연휴양림의 숙박시설 데이터로 시설물명, 호실, 면적, 객실구조, 기준인원, 이용요금(성수기), 이용요금(비성수기)주차대수 등의 데이터 항목을 제공합니다.
Author경상북도 상주시
URLhttps://www.data.go.kr/data/15095911/fileData.do

Alerts

시설물명 is highly overall correlated with 면적 and 4 other fieldsHigh correlation
주차대수 is highly overall correlated with 면적 and 4 other fieldsHigh correlation
객실구조 is highly overall correlated with 시설물명 and 5 other fieldsHigh correlation
이용요금(성수기) is highly overall correlated with 시설물명 and 5 other fieldsHigh correlation
면적 is highly overall correlated with 시설물명 and 5 other fieldsHigh correlation
이용요금(비성수기) is highly overall correlated with 시설물명 and 5 other fieldsHigh correlation
기준인원 is highly overall correlated with 시설물명 and 5 other fieldsHigh correlation
주차대수 is highly imbalanced (71.3%)Imbalance

Reproduction

Analysis started2024-04-21 16:47:11.620857
Analysis finished2024-04-21 16:47:12.902056
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
산림휴양관
11 
숲속의집
8 
산림수련관
8 

Length

Max length5
Median length5
Mean length4.7037037
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산림휴양관 11
40.7%
숲속의집 8
29.6%
산림수련관 8
29.6%

Length

2024-04-22T01:47:13.122470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:13.450800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림휴양관 11
40.7%
숲속의집 8
29.6%
산림수련관 8
29.6%

호실
Text

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-04-22T01:47:14.044823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.4074074
Min length2

Characters and Unicode

Total characters92
Distinct characters10
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

Unique11 ?
Unique (%)40.7%

Sample

1st row101호
2nd row102호
3rd row103호
4th row105호
5th row106호
ValueCountFrequency (%)
101호 2
 
7.4%
201호 2
 
7.4%
202호 2
 
7.4%
203호 2
 
7.4%
205호 2
 
7.4%
102호 2
 
7.4%
103호 2
 
7.4%
105호 2
 
7.4%
8호 1
 
3.7%
3호 1
 
3.7%
Other values (9) 9
33.3%
2024-04-22T01:47:15.139184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 27
29.3%
0 19
20.7%
2 15
16.3%
1 14
15.2%
5 5
 
5.4%
3 5
 
5.4%
6 3
 
3.3%
7 2
 
2.2%
8 1
 
1.1%
9 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65
70.7%
Other Letter 27
29.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
29.2%
2 15
23.1%
1 14
21.5%
5 5
 
7.7%
3 5
 
7.7%
6 3
 
4.6%
7 2
 
3.1%
8 1
 
1.5%
9 1
 
1.5%
Other Letter
ValueCountFrequency (%)
호 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65
70.7%
Hangul 27
29.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
29.2%
2 15
23.1%
1 14
21.5%
5 5
 
7.7%
3 5
 
7.7%
6 3
 
4.6%
7 2
 
3.1%
8 1
 
1.5%
9 1
 
1.5%
Hangul
ValueCountFrequency (%)
호 27
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65
70.7%
Hangul 27
29.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 27
100.0%
ASCII
ValueCountFrequency (%)
0 19
29.2%
2 15
23.1%
1 14
21.5%
5 5
 
7.7%
3 5
 
7.7%
6 3
 
4.6%
7 2
 
3.1%
8 1
 
1.5%
9 1
 
1.5%

면적
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
30㎡
13 
50㎡
8 
46㎡
3 
60㎡
 
1
62㎡
 
1

Length

Max length4
Median length3
Mean length3.037037
Min length3

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row60㎡
2nd row30㎡
3rd row30㎡
4th row30㎡
5th row30㎡

Common Values

ValueCountFrequency (%)
30㎡ 13
48.1%
50㎡ 8
29.6%
46㎡ 3
 
11.1%
60㎡ 1
 
3.7%
62㎡ 1
 
3.7%
100㎡ 1
 
3.7%

Length

2024-04-22T01:47:15.545248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:15.873023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30㎡ 13
48.1%
50㎡ 8
29.6%
46㎡ 3
 
11.1%
60㎡ 1
 
3.7%
62㎡ 1
 
3.7%
100㎡ 1
 
3.7%

객실구조
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
방 1(원룸), 욕실 1
10 
방 1(미닫이로 구분가능), 욕실 1
8 
방 1(복층), 거실 1, 욕실 1
3 
방 1, 거실 1, 욕실 1
3 
방 2, 거실 1, 욕실 2
2 

Length

Max length20
Median length15
Mean length16.925926
Min length15

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row방 2, 거실 1, 욕실 1
2nd row방 1(원룸), 욕실 1
3rd row방 1(원룸), 욕실 1
4th row방 1(원룸), 욕실 1
5th row방 1(원룸), 욕실 1

Common Values

ValueCountFrequency (%)
방 1(원룸), 욕실 1 10
37.0%
방 1(미닫이로 구분가능), 욕실 1 8
29.6%
방 1(복층), 거실 1, 욕실 1 3
 
11.1%
방 1, 거실 1, 욕실 1 3
 
11.1%
방 2, 거실 1, 욕실 2 2
 
7.4%
방 2, 거실 1, 욕실 1 1
 
3.7%

Length

2024-04-22T01:47:16.240803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:16.432158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
27.6%
방 27
20.1%
욕실 27
20.1%
1(원룸 10
 
7.5%
거실 9
 
6.7%
1(미닫이로 8
 
6.0%
구분가능 8
 
6.0%
2 5
 
3.7%
1(복층 3
 
2.2%

기준인원
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size344.0 B
6명
13 
9명
11 
12명
 
1
15명
 
1
25명
 
1

Length

Max length3
Median length2
Mean length2.1111111
Min length2

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row12명
2nd row6명
3rd row6명
4th row6명
5th row6명

Common Values

ValueCountFrequency (%)
6명 13
48.1%
9명 11
40.7%
12명 1
 
3.7%
15명 1
 
3.7%
25명 1
 
3.7%

Length

2024-04-22T01:47:16.654347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:16.835167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6명 13
48.1%
9명 11
40.7%
12명 1
 
3.7%
15명 1
 
3.7%
25명 1
 
3.7%

이용요금(성수기)
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
100,000원
11 
70,000원
10 
80,000원
3 
140,000원
 
1
170,000원
 
1

Length

Max length8
Median length8
Mean length7.5185185
Min length7

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row140,000원
2nd row70,000원
3rd row70,000원
4th row70,000원
5th row70,000원

Common Values

ValueCountFrequency (%)
100,000원 11
40.7%
70,000원 10
37.0%
80,000원 3
 
11.1%
140,000원 1
 
3.7%
170,000원 1
 
3.7%
270,000원 1
 
3.7%

Length

2024-04-22T01:47:17.038097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:17.439955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100,000원 11
40.7%
70,000원 10
37.0%
80,000원 3
 
11.1%
140,000원 1
 
3.7%
170,000원 1
 
3.7%
270,000원 1
 
3.7%

이용요금(비성수기)
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
80,000원
11 
50,000원
10 
60,000원
3 
100,000원
 
1
130,000원
 
1

Length

Max length8
Median length7
Mean length7.1111111
Min length7

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row100,000원
2nd row50,000원
3rd row50,000원
4th row50,000원
5th row50,000원

Common Values

ValueCountFrequency (%)
80,000원 11
40.7%
50,000원 10
37.0%
60,000원 3
 
11.1%
100,000원 1
 
3.7%
130,000원 1
 
3.7%
200,000원 1
 
3.7%

Length

2024-04-22T01:47:17.797504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:18.124835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
80,000원 11
40.7%
50,000원 10
37.0%
60,000원 3
 
11.1%
100,000원 1
 
3.7%
130,000원 1
 
3.7%
200,000원 1
 
3.7%

주차대수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size344.0 B
2대
25 
4대
 
1
5대
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row2대
2nd row2대
3rd row2대
4th row2대
5th row2대

Common Values

ValueCountFrequency (%)
2대 25
92.6%
4대 1
 
3.7%
5대 1
 
3.7%

Length

2024-04-22T01:47:18.494854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:47:18.796212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2대 25
92.6%
4대 1
 
3.7%
5대 1
 
3.7%

Correlations

2024-04-22T01:47:18.993117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물명호실면적객실구조기준인원이용요금(성수기)이용요금(비성수기)주차대수
시설물명1.0000.0000.9811.0000.6550.9770.9770.407
호실0.0001.0000.7660.7190.6450.7930.7931.000
면적0.9810.7661.0000.9931.0000.9930.9931.000
객실구조1.0000.7190.9931.0000.8940.9930.9930.900
기준인원0.6550.6451.0000.8941.0001.0001.0001.000
이용요금(성수기)0.9770.7930.9930.9931.0001.0001.0001.000
이용요금(비성수기)0.9770.7930.9930.9931.0001.0001.0001.000
주차대수0.4071.0001.0000.9001.0001.0001.0001.000
2024-04-22T01:47:19.291519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물명주차대수객실구조이용요금(성수기)면적이용요금(비성수기)기준인원
시설물명1.0000.1400.9350.7610.7780.7610.593
주차대수0.1401.0000.5770.9350.9350.9350.957
객실구조0.9350.5771.0000.8670.8670.8670.812
이용요금(성수기)0.7610.9350.8671.0000.8671.0000.977
면적0.7780.9350.8670.8671.0000.8670.977
이용요금(비성수기)0.7610.9350.8671.0000.8671.0000.977
기준인원0.5930.9570.8120.9770.9770.9771.000
2024-04-22T01:47:19.581018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물명면적객실구조기준인원이용요금(성수기)이용요금(비성수기)주차대수
시설물명1.0000.7780.9350.5930.7610.7610.140
면적0.7781.0000.8670.9770.8670.8670.935
객실구조0.9350.8671.0000.8120.8670.8670.577
기준인원0.5930.9770.8121.0000.9770.9770.957
이용요금(성수기)0.7610.8670.8670.9771.0001.0000.935
이용요금(비성수기)0.7610.8670.8670.9771.0001.0000.935
주차대수0.1400.9350.5770.9570.9350.9351.000

Missing values

2024-04-22T01:47:12.324214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T01:47:12.743918image/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

시설물명호실면적객실구조기준인원이용요금(성수기)이용요금(비성수기)주차대수
0산림휴양관101호60㎡방 2, 거실 1, 욕실 112명140,000원100,000원2대
1산림휴양관102호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
2산림휴양관103호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
3산림휴양관105호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
4산림휴양관106호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
5산림휴양관201호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
6산림휴양관202호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
7산림휴양관203호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
8산림휴양관205호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
9산림휴양관206호30㎡방 1(원룸), 욕실 16명70,000원50,000원2대
시설물명호실면적객실구조기준인원이용요금(성수기)이용요금(비성수기)주차대수
17숲속의집8호62㎡방 2, 거실 1, 욕실 215명170,000원130,000원4대
18숲속의집9호100㎡방 2, 거실 1, 욕실 225명270,000원200,000원5대
19산림수련관101호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
20산림수련관102호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
21산림수련관103호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
22산림수련관105호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
23산림수련관201호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
24산림수련관202호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
25산림수련관203호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대
26산림수련관205호50㎡방 1(미닫이로 구분가능), 욕실 19명100,000원80,000원2대