Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory682.0 B
Average record size in memory31.0 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description대전광역시 만인산 자연휴양림의 시설현황으로 편익시설, 위생시설, 안전시설, 기타시설 등 에 관한 정보를 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15077434/fileData.do

Alerts

시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:55:15.534191
Analysis finished2023-12-12 14:55:15.895947
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
편익시설
12 
기타시설
5 
안전시설
3 
위생시설
2 

Length

Max length5
Median length5
Mean length4.5454545
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 편익시설
2nd row 편익시설
3rd row 편익시설
4th row 편익시설
5th row 편익시설

Common Values

ValueCountFrequency (%)
편익시설 12
54.5%
기타시설 5
22.7%
안전시설 3
 
13.6%
위생시설 2
 
9.1%

Length

2023-12-12T23:55:15.969216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:55:16.092341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
편익시설 12
54.5%
기타시설 5
22.7%
안전시설 3
 
13.6%
위생시설 2
 
9.1%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T23:55:16.338872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.5454545
Min length3

Characters and Unicode

Total characters122
Distinct characters69
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

Unique22 ?
Unique (%)100.0%

Sample

1st row종합안내판
2nd row방향표지판
3rd row등산로안내판
4th row정 자
5th row파 고 라
ValueCountFrequency (%)
종합안내판 1
 
2.8%
방향표지판 1
 
2.8%
장 1
 
2.8%
실 1
 
2.8%
음 1
 
2.8%
수 1
 
2.8%
대 1
 
2.8%
공원등 1
 
2.8%
사방댐 1
 
2.8%
화재감시카메라 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T23:55:16.756228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
15.6%
장 4
 
3.3%
로 4
 
3.3%
( 3
 
2.5%
숲 3
 
2.5%
) 3
 
2.5%
판 3
 
2.5%
방 3
 
2.5%
m 3
 
2.5%
k 3
 
2.5%
Other values (59) 74
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
74.6%
Space Separator 19
 
15.6%
Lowercase Letter 6
 
4.9%
Open Punctuation 3
 
2.5%
Close Punctuation 3
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4
 
4.4%
로 4
 
4.4%
숲 3
 
3.3%
판 3
 
3.3%
방 3
 
3.3%
소 3
 
3.3%
등 3
 
3.3%
화 2
 
2.2%
이 2
 
2.2%
차 2
 
2.2%
Other values (54) 62
68.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
50.0%
k 3
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
74.6%
Common 25
 
20.5%
Latin 6
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4
 
4.4%
로 4
 
4.4%
숲 3
 
3.3%
판 3
 
3.3%
방 3
 
3.3%
소 3
 
3.3%
등 3
 
3.3%
화 2
 
2.2%
이 2
 
2.2%
차 2
 
2.2%
Other values (54) 62
68.1%
Common
ValueCountFrequency (%)
19
76.0%
( 3
 
12.0%
) 3
 
12.0%
Latin
ValueCountFrequency (%)
m 3
50.0%
k 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
74.6%
ASCII 31
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
61.3%
( 3
 
9.7%
) 3
 
9.7%
m 3
 
9.7%
k 3
 
9.7%
Hangul
ValueCountFrequency (%)
장 4
 
4.4%
로 4
 
4.4%
숲 3
 
3.3%
판 3
 
3.3%
방 3
 
3.3%
소 3
 
3.3%
등 3
 
3.3%
화 2
 
2.2%
이 2
 
2.2%
차 2
 
2.2%
Other values (54) 62
68.1%

개수
Real number (ℝ)

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8118182
Minimum0.2
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T23:55:16.925479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.392
Q11
median1.5
Q33
95-th percentile67.25
Maximum97
Range96.8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation24.402459
Coefficient of variation (CV)2.4870477
Kurtosis9.2146108
Mean9.8118182
Median Absolute Deviation (MAD)0.82
Skewness3.1378012
Sum215.86
Variance595.48003
MonotonicityNot monotonic
2023-12-12T23:55:17.068949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1.0 9
40.9%
3.0 4
18.2%
2.0 2
 
9.1%
5.0 1
 
4.5%
15.0 1
 
4.5%
70.0 1
 
4.5%
3.3 1
 
4.5%
0.36 1
 
4.5%
0.2 1
 
4.5%
97.0 1
 
4.5%
ValueCountFrequency (%)
0.2 1
 
4.5%
0.36 1
 
4.5%
1.0 9
40.9%
2.0 2
 
9.1%
3.0 4
18.2%
3.3 1
 
4.5%
5.0 1
 
4.5%
15.0 1
 
4.5%
70.0 1
 
4.5%
97.0 1
 
4.5%
ValueCountFrequency (%)
97.0 1
 
4.5%
70.0 1
 
4.5%
15.0 1
 
4.5%
5.0 1
 
4.5%
3.3 1
 
4.5%
3.0 4
18.2%
2.0 2
 
9.1%
1.0 9
40.9%
0.36 1
 
4.5%
0.2 1
 
4.5%

Interactions

2023-12-12T23:55:15.648084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:55:17.174235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설명개수
시설구분1.0001.0000.000
시설명1.0001.0001.000
개수0.0001.0001.000
2023-12-12T23:55:17.285510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개수시설구분
개수1.0000.000
시설구분0.0001.000

Missing values

2023-12-12T23:55:15.782533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:55:15.856815image/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

시설구분시설명개수
0편익시설종합안내판5.0
1편익시설방향표지판15.0
2편익시설등산로안내판3.0
3편익시설정 자2.0
4편익시설파 고 라1.0
5편익시설쉼터 벤치70.0
6편익시설주차장3.0
7편익시설등산로(km)3.3
8편익시설숲속 탐방로(km)0.36
9편익시설스카이 로드(km)0.2
시설구분시설명개수
12위생시설화 장 실3.0
13위생시설음 수 대1.0
14안전시설공원등97.0
15안전시설사방댐3.0
16안전시설화재감시카메라1.0
17기타시설관 리 소1.0
18기타시설차량통제소1.0
19기타시설휴게소1.0
20기타시설유아숲 체험원1.0
21기타시설숲놀이터2.0