Overview

Dataset statistics

Number of variables11
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory100.7 B

Variable types

Categorical10
Text1

Dataset

Description영천시시설관리공단에서 운영 중인 치산캠핑장의 객실정보입니다. 세부 내용으로 객실 분류와 방제목, 인원수 정보, 성수기와 비수기 요금 정보가 있습니다.
Author영천시시설관리공단
URLhttps://www.data.go.kr/data/15106709/fileData.do

Alerts

시설명 has constant value ""Constant
성수기_영천시 전입자 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
분류 is highly overall correlated with 인원수 and 7 other fieldsHigh correlation
비수기_다자녀가정 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
비수기_일반 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
비수기_장애인 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
비수기_영천시민 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
비수기_국가보훈대상자 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
성수기_일반 금액 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
인원수 is highly overall correlated with 분류 and 7 other fieldsHigh correlation
방제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:34:24.552418
Analysis finished2023-12-12 11:34:26.209380
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
치산캠핑장
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
치산캠핑장 28
100.0%

Length

2023-12-12T20:34:26.327608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:26.529709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치산캠핑장 28
100.0%

분류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
캐라반 6인용
14 
캐라반 8인용
9 
캐빈하우스
5 

Length

Max length7
Median length7
Mean length6.6428571
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row캐라반 6인용
2nd row캐라반 6인용
3rd row캐라반 6인용
4th row캐라반 6인용
5th row캐라반 6인용

Common Values

ValueCountFrequency (%)
캐라반 6인용 14
50.0%
캐라반 8인용 9
32.1%
캐빈하우스 5
 
17.9%

Length

2023-12-12T20:34:26.742649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:26.945867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
캐라반 23
45.1%
6인용 14
27.5%
8인용 9
 
17.6%
캐빈하우스 5
 
9.8%

방제목
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T20:34:27.264643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters70
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowB1
2nd rowB2
3rd rowB3
4th rowB4
5th rowB5
ValueCountFrequency (%)
b1 1
 
3.6%
b2 1
 
3.6%
a4 1
 
3.6%
a3 1
 
3.6%
a2 1
 
3.6%
a1 1
 
3.6%
b23 1
 
3.6%
b22 1
 
3.6%
b21 1
 
3.6%
b20 1
 
3.6%
Other values (18) 18
64.3%
2023-12-12T20:34:27.898228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 23
32.9%
1 14
20.0%
2 8
 
11.4%
A 5
 
7.1%
3 4
 
5.7%
4 3
 
4.3%
5 3
 
4.3%
6 2
 
2.9%
7 2
 
2.9%
8 2
 
2.9%
Other values (2) 4
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
60.0%
Uppercase Letter 28
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
33.3%
2 8
19.0%
3 4
 
9.5%
4 3
 
7.1%
5 3
 
7.1%
6 2
 
4.8%
7 2
 
4.8%
8 2
 
4.8%
9 2
 
4.8%
0 2
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 23
82.1%
A 5
 
17.9%

Most occurring scripts

ValueCountFrequency (%)
Common 42
60.0%
Latin 28
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14
33.3%
2 8
19.0%
3 4
 
9.5%
4 3
 
7.1%
5 3
 
7.1%
6 2
 
4.8%
7 2
 
4.8%
8 2
 
4.8%
9 2
 
4.8%
0 2
 
4.8%
Latin
ValueCountFrequency (%)
B 23
82.1%
A 5
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 23
32.9%
1 14
20.0%
2 8
 
11.4%
A 5
 
7.1%
3 4
 
5.7%
4 3
 
4.3%
5 3
 
4.3%
6 2
 
2.9%
7 2
 
2.9%
8 2
 
2.9%
Other values (2) 4
 
5.7%

인원수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
6
14 
8
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 14
50.0%
8 14
50.0%

Length

2023-12-12T20:34:28.169604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:28.369410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 14
50.0%
8 14
50.0%

성수기_일반 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
100000
14 
150000
14 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100000
2nd row100000
3rd row100000
4th row100000
5th row100000

Common Values

ValueCountFrequency (%)
100000 14
50.0%
150000 14
50.0%

Length

2023-12-12T20:34:28.551416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:28.726920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100000 14
50.0%
150000 14
50.0%

성수기_영천시 전입자 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
70000
14 
105000
14 

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70000
2nd row70000
3rd row70000
4th row70000
5th row70000

Common Values

ValueCountFrequency (%)
70000 14
50.0%
105000 14
50.0%

Length

2023-12-12T20:34:28.955324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:29.156250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70000 14
50.0%
105000 14
50.0%

비수기_일반 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
60000
14 
90000
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60000
2nd row60000
3rd row60000
4th row60000
5th row60000

Common Values

ValueCountFrequency (%)
60000 14
50.0%
90000 14
50.0%

Length

2023-12-12T20:34:29.354753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:29.546341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60000 14
50.0%
90000 14
50.0%

비수기_영천시민 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
50000
14 
75000
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

Length

2023-12-12T20:34:29.747544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:29.931363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

비수기_장애인 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
50000
14 
75000
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

Length

2023-12-12T20:34:30.111384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:30.283439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

비수기_국가보훈대상자 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
50000
14 
75000
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

Length

2023-12-12T20:34:30.473706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:30.652948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

비수기_다자녀가정 금액
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
50000
14 
75000
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

Length

2023-12-12T20:34:30.858593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:31.042862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 14
50.0%
75000 14
50.0%

Correlations

2023-12-12T20:34:31.183232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류방제목인원수성수기_일반 금액성수기_영천시 전입자 금액비수기_일반 금액비수기_영천시민 금액비수기_장애인 금액비수기_국가보훈대상자 금액비수기_다자녀가정 금액
분류1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
방제목1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인원수1.0001.0001.0000.9930.9930.9930.9930.9930.9930.993
성수기_일반 금액1.0001.0000.9931.0000.9930.9930.9930.9930.9930.993
성수기_영천시 전입자 금액1.0001.0000.9930.9931.0000.9930.9930.9930.9930.993
비수기_일반 금액1.0001.0000.9930.9930.9931.0000.9930.9930.9930.993
비수기_영천시민 금액1.0001.0000.9930.9930.9930.9931.0000.9930.9930.993
비수기_장애인 금액1.0001.0000.9930.9930.9930.9930.9931.0000.9930.993
비수기_국가보훈대상자 금액1.0001.0000.9930.9930.9930.9930.9930.9931.0000.993
비수기_다자녀가정 금액1.0001.0000.9930.9930.9930.9930.9930.9930.9931.000
2023-12-12T20:34:31.480409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성수기_영천시 전입자 금액분류비수기_다자녀가정 금액비수기_일반 금액비수기_장애인 금액비수기_영천시민 금액비수기_국가보훈대상자 금액성수기_일반 금액인원수
성수기_영천시 전입자 금액1.0000.9810.9260.9260.9260.9260.9260.9260.926
분류0.9811.0000.9810.9810.9810.9810.9810.9810.981
비수기_다자녀가정 금액0.9260.9811.0000.9260.9260.9260.9260.9260.926
비수기_일반 금액0.9260.9810.9261.0000.9260.9260.9260.9260.926
비수기_장애인 금액0.9260.9810.9260.9261.0000.9260.9260.9260.926
비수기_영천시민 금액0.9260.9810.9260.9260.9261.0000.9260.9260.926
비수기_국가보훈대상자 금액0.9260.9810.9260.9260.9260.9261.0000.9260.926
성수기_일반 금액0.9260.9810.9260.9260.9260.9260.9261.0000.926
인원수0.9260.9810.9260.9260.9260.9260.9260.9261.000
2023-12-12T20:34:31.756786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류인원수성수기_일반 금액성수기_영천시 전입자 금액비수기_일반 금액비수기_영천시민 금액비수기_장애인 금액비수기_국가보훈대상자 금액비수기_다자녀가정 금액
분류1.0000.9810.9810.9810.9810.9810.9810.9810.981
인원수0.9811.0000.9260.9260.9260.9260.9260.9260.926
성수기_일반 금액0.9810.9261.0000.9260.9260.9260.9260.9260.926
성수기_영천시 전입자 금액0.9810.9260.9261.0000.9260.9260.9260.9260.926
비수기_일반 금액0.9810.9260.9260.9261.0000.9260.9260.9260.926
비수기_영천시민 금액0.9810.9260.9260.9260.9261.0000.9260.9260.926
비수기_장애인 금액0.9810.9260.9260.9260.9260.9261.0000.9260.926
비수기_국가보훈대상자 금액0.9810.9260.9260.9260.9260.9260.9261.0000.926
비수기_다자녀가정 금액0.9810.9260.9260.9260.9260.9260.9260.9261.000

Missing values

2023-12-12T20:34:25.771862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:34:26.076864image/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

시설명분류방제목인원수성수기_일반 금액성수기_영천시 전입자 금액비수기_일반 금액비수기_영천시민 금액비수기_장애인 금액비수기_국가보훈대상자 금액비수기_다자녀가정 금액
0치산캠핑장캐라반 6인용B16100000700006000050000500005000050000
1치산캠핑장캐라반 6인용B26100000700006000050000500005000050000
2치산캠핑장캐라반 6인용B36100000700006000050000500005000050000
3치산캠핑장캐라반 6인용B46100000700006000050000500005000050000
4치산캠핑장캐라반 6인용B56100000700006000050000500005000050000
5치산캠핑장캐라반 6인용B66100000700006000050000500005000050000
6치산캠핑장캐라반 6인용B76100000700006000050000500005000050000
7치산캠핑장캐라반 6인용B86100000700006000050000500005000050000
8치산캠핑장캐라반 6인용B96100000700006000050000500005000050000
9치산캠핑장캐라반 6인용B106100000700006000050000500005000050000
시설명분류방제목인원수성수기_일반 금액성수기_영천시 전입자 금액비수기_일반 금액비수기_영천시민 금액비수기_장애인 금액비수기_국가보훈대상자 금액비수기_다자녀가정 금액
18치산캠핑장캐라반 8인용B1981500001050009000075000750007500075000
19치산캠핑장캐라반 8인용B2081500001050009000075000750007500075000
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