Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.9 B

Variable types

Categorical3
Numeric2
DateTime1

Dataset

Description전라북도 정읍시에 소재한 체육시설 현황중 대관요금 목록중( 시설명, 사용목적, 사용시기구분, 평일요금, 공휴일요금)등의 정보를 제공합니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15098217/fileData.do

Alerts

데이터기준일 has constant value ""Constant
평일요금 is highly overall correlated with 공휴일요금High correlation
공휴일요금 is highly overall correlated with 평일요금High correlation

Reproduction

Analysis started2024-03-14 17:35:04.308729
Analysis finished2024-03-14 17:35:06.370922
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size336.0 B
정읍체육관
4 
신태인체육관
4 
국민체육센터 체육관
4 
인조잔디구장
4 
육상경기장
2 
Other values (4)
8 

Length

Max length10
Median length6
Mean length5.7692308
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row육상경기장
2nd row육상경기장
3rd row잔디구장
4th row잔디구장
5th row테니스장

Common Values

ValueCountFrequency (%)
정읍체육관 4
15.4%
신태인체육관 4
15.4%
국민체육센터 체육관 4
15.4%
인조잔디구장 4
15.4%
육상경기장 2
7.7%
잔디구장 2
7.7%
테니스장 2
7.7%
족구장 2
7.7%
풋살경기장 2
7.7%

Length

2024-03-15T02:35:06.620795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:35:07.005457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정읍체육관 4
13.3%
신태인체육관 4
13.3%
국민체육센터 4
13.3%
체육관 4
13.3%
인조잔디구장 4
13.3%
육상경기장 2
6.7%
잔디구장 2
6.7%
테니스장 2
6.7%
족구장 2
6.7%
풋살경기장 2
6.7%

사용목적
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size336.0 B
체육경기
12 
체육이외
8 
체육경기 및 이외
4 
체육경기외
2 

Length

Max length9
Median length4
Mean length4.8461538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row체육경기
2nd row체육경기외
3rd row체육경기
4th row체육경기외
5th row체육경기

Common Values

ValueCountFrequency (%)
체육경기 12
46.2%
체육이외 8
30.8%
체육경기 및 이외 4
 
15.4%
체육경기외 2
 
7.7%

Length

2024-03-15T02:35:07.419497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:35:07.828903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육경기 16
47.1%
체육이외 8
23.5%
및 4
 
11.8%
이외 4
 
11.8%
체육경기외 2
 
5.9%

사용시기구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
주간
15 
야간
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 15
57.7%
야간 11
42.3%

Length

2024-03-15T02:35:08.319041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:35:08.653471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 15
57.7%
야간 11
42.3%

평일요금
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27307.692
Minimum3000
Maximum84000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T02:35:08.980285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile5750
Q113500
median20000
Q336500
95-th percentile60000
Maximum84000
Range81000
Interquartile range (IQR)23000

Descriptive statistics

Standard deviation20354.399
Coefficient of variation (CV)0.74537234
Kurtosis0.96767026
Mean27307.692
Median Absolute Deviation (MAD)10000
Skewness1.1960182
Sum710000
Variance4.1430154 × 108
MonotonicityNot monotonic
2024-03-15T02:35:09.420801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20000 5
19.2%
10000 3
11.5%
15000 3
11.5%
60000 2
 
7.7%
30000 2
 
7.7%
5000 1
 
3.8%
40000 1
 
3.8%
84000 1
 
3.8%
53000 1
 
3.8%
54000 1
 
3.8%
Other values (6) 6
23.1%
ValueCountFrequency (%)
3000 1
 
3.8%
5000 1
 
3.8%
8000 1
 
3.8%
10000 3
11.5%
13000 1
 
3.8%
15000 3
11.5%
20000 5
19.2%
23000 1
 
3.8%
30000 2
 
7.7%
35000 1
 
3.8%
ValueCountFrequency (%)
84000 1
 
3.8%
60000 2
 
7.7%
54000 1
 
3.8%
53000 1
 
3.8%
40000 1
 
3.8%
37000 1
 
3.8%
35000 1
 
3.8%
30000 2
 
7.7%
23000 1
 
3.8%
20000 5
19.2%

공휴일요금
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37730.769
Minimum5000
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T02:35:09.853657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile8500
Q120000
median28000
Q350000
95-th percentile93000
Maximum100000
Range95000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation27664.501
Coefficient of variation (CV)0.73320798
Kurtosis-0.035506772
Mean37730.769
Median Absolute Deviation (MAD)14500
Skewness1.009855
Sum981000
Variance7.6532462 × 108
MonotonicityNot monotonic
2024-03-15T02:35:10.247654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20000 3
 
11.5%
30000 3
 
11.5%
15000 2
 
7.7%
50000 2
 
7.7%
72000 1
 
3.8%
10000 1
 
3.8%
22000 1
 
3.8%
8000 1
 
3.8%
96000 1
 
3.8%
38000 1
 
3.8%
Other values (10) 10
38.5%
ValueCountFrequency (%)
5000 1
 
3.8%
8000 1
 
3.8%
10000 1
 
3.8%
12000 1
 
3.8%
15000 2
7.7%
20000 3
11.5%
22000 1
 
3.8%
23000 1
 
3.8%
25000 1
 
3.8%
26000 1
 
3.8%
ValueCountFrequency (%)
100000 1
 
3.8%
96000 1
 
3.8%
84000 1
 
3.8%
75000 1
 
3.8%
72000 1
 
3.8%
60000 1
 
3.8%
50000 2
7.7%
45000 1
 
3.8%
38000 1
 
3.8%
30000 3
11.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
Minimum2024-01-12 00:00:00
Maximum2024-01-12 00:00:00
2024-03-15T02:35:10.500783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:35:10.659192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T02:35:05.198604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:35:04.683439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:35:05.465836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:35:04.953698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:35:11.043090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명사용목적사용시기구분평일요금공휴일요금
시설명1.0000.7250.0000.0000.000
사용목적0.7251.0000.0000.2920.392
사용시기구분0.0000.0001.0000.6320.527
평일요금0.0000.2920.6321.0000.873
공휴일요금0.0000.3920.5270.8731.000
2024-03-15T02:35:11.274565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명사용시기구분사용목적
시설명1.0000.0000.486
사용시기구분0.0001.0000.000
사용목적0.4860.0001.000
2024-03-15T02:35:11.459734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일요금공휴일요금시설명사용목적사용시기구분
평일요금1.0000.9700.0000.1030.435
공휴일요금0.9701.0000.0000.1490.462
시설명0.0000.0001.0000.4860.000
사용목적0.1030.1490.4861.0000.000
사용시기구분0.4350.4620.0000.0001.000

Missing values

2024-03-15T02:35:05.779726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:35:06.167393image/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

시설명사용목적사용시기구분평일요금공휴일요금데이터기준일
0육상경기장체육경기주간10000200002024-01-12
1육상경기장체육경기외주간15000250002024-01-12
2잔디구장체육경기주간35000600002024-01-12
3잔디구장체육경기외주간600001000002024-01-12
4테니스장체육경기주간300050002024-01-12
5테니스장체육경기야간13000150002024-01-12
6정읍체육관체육경기주간10000150002024-01-12
7정읍체육관체육경기야간37000500002024-01-12
8정읍체육관체육이외주간23000300002024-01-12
9정읍체육관체육이외야간60000840002024-01-12
시설명사용목적사용시기구분평일요금공휴일요금데이터기준일
16국민체육센터 체육관체육이외주간30000380002024-01-12
17국민체육센터 체육관체육이외야간84000960002024-01-12
18인조잔디구장체육경기주간15000200002024-01-12
19인조잔디구장체육경기야간20000300002024-01-12
20인조잔디구장체육이외주간20000300002024-01-12
21인조잔디구장체육이외야간40000500002024-01-12
22족구장체육경기 및 이외주간500080002024-01-12
23족구장체육경기 및 이외야간20000220002024-01-12
24풋살경기장체육경기 및 이외주간10000100002024-01-12
25풋살경기장체육경기 및 이외야간20000200002024-01-12