Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory51.3 B

Variable types

Categorical2
DateTime1
Numeric2
Text1

Dataset

Description창녕군시설관리공단 체육시설(공설운동장, 군민 체육관, 창녕스포츠파크, 국민체육센터 등)이용현황을 제공합니다
Author창녕군시설관리공단
URLhttps://www.data.go.kr/data/15018459/fileData.do

Alerts

인원수 is highly overall correlated with 행사명High correlation
구 분 is highly overall correlated with 행사명High correlation
행사명 is highly overall correlated with 인원수 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 15:38:31.856605
Analysis finished2023-12-12 15:38:33.663809
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
국민체육센터
44 
스포츠파크
33 
군민체육관
20 
공설운동장
 
3

Length

Max length6
Median length5
Mean length5.44
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공설운동장
2nd row공설운동장
3rd row공설운동장
4th row국민체육센터
5th row국민체육센터

Common Values

ValueCountFrequency (%)
국민체육센터 44
44.0%
스포츠파크 33
33.0%
군민체육관 20
20.0%
공설운동장 3
 
3.0%

Length

2023-12-13T00:38:33.840749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:38:34.064853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국민체육센터 44
44.0%
스포츠파크 33
33.0%
군민체육관 20
20.0%
공설운동장 3
 
3.0%

사용일
Date

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-01-13 00:00:00
Maximum2019-12-31 00:00:00
2023-12-13T00:38:34.251307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:34.511481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용료
Real number (ℝ)

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184561.5
Minimum25000
Maximum724000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:38:34.825485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25000
5-th percentile69500
Q1112500
median137500
Q3225000
95-th percentile450000
Maximum724000
Range699000
Interquartile range (IQR)112500

Descriptive statistics

Standard deviation129883.04
Coefficient of variation (CV)0.70373852
Kurtosis5.1904402
Mean184561.5
Median Absolute Deviation (MAD)37500
Skewness2.1336042
Sum18456150
Variance1.6869603 × 1010
MonotonicityNot monotonic
2023-12-13T00:38:35.127344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112500 13
 
13.0%
225000 5
 
5.0%
450000 5
 
5.0%
75000 4
 
4.0%
137500 3
 
3.0%
337500 2
 
2.0%
294000 2
 
2.0%
120000 2
 
2.0%
50000 2
 
2.0%
80000 2
 
2.0%
Other values (57) 60
60.0%
ValueCountFrequency (%)
25000 1
 
1.0%
30000 1
 
1.0%
50000 2
2.0%
60000 1
 
1.0%
70000 1
 
1.0%
75000 4
4.0%
80000 2
2.0%
80300 1
 
1.0%
90000 1
 
1.0%
95000 1
 
1.0%
ValueCountFrequency (%)
724000 1
 
1.0%
675000 1
 
1.0%
642200 1
 
1.0%
450000 5
5.0%
398000 1
 
1.0%
337500 2
 
2.0%
331900 1
 
1.0%
303900 1
 
1.0%
294000 2
 
2.0%
276000 1
 
1.0%

행사명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
친선경기
33 
배드민턴 친선경기
14 
생활체육활동(헬스클럽)
12 
생활체육클럽활동
11 
농구친선경기
5 
Other values (19)
25 

Length

Max length21
Median length15
Mean length7.37
Min length3

Unique

Unique15 ?
Unique (%)15.0%

Sample

1st row축구경기
2nd row축구경기
3rd row축구경기
4th row배드민턴 친선경기
5th row생활체육활동(헬스클럽)

Common Values

ValueCountFrequency (%)
친선경기 33
33.0%
배드민턴 친선경기 14
14.0%
생활체육활동(헬스클럽) 12
 
12.0%
생활체육클럽활동 11
 
11.0%
농구친선경기 5
 
5.0%
체육대회 3
 
3.0%
축구경기 3
 
3.0%
테니스 친선경기 2
 
2.0%
회장 이취임식 2
 
2.0%
경남중부노회 어린이 운동회 1
 
1.0%
Other values (14) 14
14.0%

Length

2023-12-13T00:38:35.437337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
친선경기 50
36.8%
배드민턴 14
 
10.3%
생활체육활동(헬스클럽 12
 
8.8%
생활체육클럽활동 11
 
8.1%
농구친선경기 5
 
3.7%
운동회 4
 
2.9%
체육대회 4
 
2.9%
축구경기 3
 
2.2%
회장 2
 
1.5%
이취임식 2
 
1.5%
Other values (28) 29
21.3%

사용단체
Text

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-13T00:38:35.823728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.31
Min length2

Characters and Unicode

Total characters631
Distinct characters159
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)49.0%

Sample

1st row스피드CC
2nd rowjw조기회
3rd row80조기회
4th row미르썬콕
5th row생활체육협의회
ValueCountFrequency (%)
생활체육협의회 12
 
11.2%
창녕군체육회 7
 
6.5%
미르썬콕 5
 
4.7%
창녕군배드민턴협회 4
 
3.7%
하이에어코리아 3
 
2.8%
hdt 3
 
2.8%
농구클럽 3
 
2.8%
마산50연합회 3
 
2.8%
경남중부노회 2
 
1.9%
창녕교육지원청 2
 
1.9%
Other values (58) 63
58.9%
2023-12-13T00:38:36.371511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 48
 
7.6%
창 24
 
3.8%
녕 22
 
3.5%
육 21
 
3.3%
체 19
 
3.0%
협 18
 
2.9%
의 13
 
2.1%
생 12
 
1.9%
활 12
 
1.9%
군 12
 
1.9%
Other values (149) 430
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 577
91.4%
Uppercase Letter 20
 
3.2%
Decimal Number 17
 
2.7%
Space Separator 7
 
1.1%
Lowercase Letter 7
 
1.1%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 48
 
8.3%
창 24
 
4.2%
녕 22
 
3.8%
육 21
 
3.6%
체 19
 
3.3%
협 18
 
3.1%
의 13
 
2.3%
생 12
 
2.1%
활 12
 
2.1%
군 12
 
2.1%
Other values (128) 376
65.2%
Uppercase Letter
ValueCountFrequency (%)
C 6
30.0%
F 4
20.0%
T 3
15.0%
D 3
15.0%
H 3
15.0%
V 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
x 1
14.3%
t 1
14.3%
r 1
14.3%
w 1
14.3%
j 1
14.3%
Decimal Number
ValueCountFrequency (%)
0 6
35.3%
5 5
29.4%
8 4
23.5%
2 1
 
5.9%
6 1
 
5.9%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 577
91.4%
Common 27
 
4.3%
Latin 27
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 48
 
8.3%
창 24
 
4.2%
녕 22
 
3.8%
육 21
 
3.6%
체 19
 
3.3%
협 18
 
3.1%
의 13
 
2.3%
생 12
 
2.1%
활 12
 
2.1%
군 12
 
2.1%
Other values (128) 376
65.2%
Latin
ValueCountFrequency (%)
C 6
22.2%
F 4
14.8%
T 3
11.1%
D 3
11.1%
H 3
11.1%
e 2
 
7.4%
x 1
 
3.7%
t 1
 
3.7%
r 1
 
3.7%
V 1
 
3.7%
Other values (2) 2
 
7.4%
Common
ValueCountFrequency (%)
7
25.9%
0 6
22.2%
5 5
18.5%
8 4
14.8%
( 1
 
3.7%
2 1
 
3.7%
) 1
 
3.7%
6 1
 
3.7%
& 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 577
91.4%
ASCII 54
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 48
 
8.3%
창 24
 
4.2%
녕 22
 
3.8%
육 21
 
3.6%
체 19
 
3.3%
협 18
 
3.1%
의 13
 
2.3%
생 12
 
2.1%
활 12
 
2.1%
군 12
 
2.1%
Other values (128) 376
65.2%
ASCII
ValueCountFrequency (%)
7
13.0%
0 6
11.1%
C 6
11.1%
5 5
9.3%
8 4
 
7.4%
F 4
 
7.4%
T 3
 
5.6%
D 3
 
5.6%
H 3
 
5.6%
e 2
 
3.7%
Other values (11) 11
20.4%

인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.32
Minimum10
Maximum4000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T00:38:36.592504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q130
median60
Q3150
95-th percentile729.05
Maximum4000
Range3990
Interquartile range (IQR)120

Descriptive statistics

Standard deviation462.3175
Coefficient of variation (CV)2.2516925
Kurtosis46.56288
Mean205.32
Median Absolute Deviation (MAD)36
Skewness6.096008
Sum20532
Variance213737.47
MonotonicityNot monotonic
2023-12-13T00:38:36.825958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
30 17
17.0%
50 9
 
9.0%
60 6
 
6.0%
80 5
 
5.0%
200 4
 
4.0%
100 4
 
4.0%
15 4
 
4.0%
40 4
 
4.0%
10 4
 
4.0%
120 3
 
3.0%
Other values (34) 40
40.0%
ValueCountFrequency (%)
10 4
 
4.0%
12 3
 
3.0%
15 4
 
4.0%
23 1
 
1.0%
25 2
 
2.0%
30 17
17.0%
35 1
 
1.0%
40 4
 
4.0%
45 1
 
1.0%
48 1
 
1.0%
ValueCountFrequency (%)
4000 1
1.0%
1400 1
1.0%
1278 1
1.0%
900 1
1.0%
768 1
1.0%
727 1
1.0%
674 1
1.0%
660 1
1.0%
617 1
1.0%
611 1
1.0%

Interactions

2023-12-13T00:38:32.764511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:32.365241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:32.996250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:38:32.553741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:38:36.981483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분사용일사용료행사명사용단체인원수
구 분1.0000.8900.5321.0000.9990.395
사용일0.8901.0000.7580.9380.0000.844
사용료0.5320.7581.0000.8320.9840.776
행사명1.0000.9380.8321.0000.9940.975
사용단체0.9990.0000.9840.9941.0000.797
인원수0.3950.8440.7760.9750.7971.000
2023-12-13T00:38:37.134099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분행사명
구 분1.0000.890
행사명0.8901.000
2023-12-13T00:38:37.262736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용료인원수구 분행사명
사용료1.0000.4720.3620.465
인원수0.4721.0000.3300.800
구 분0.3620.3301.0000.890
행사명0.4650.8000.8901.000

Missing values

2023-12-13T00:38:33.288287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:38:33.535670image/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

구 분사용일사용료행사명사용단체인원수
0공설운동장2019-01-20112500축구경기스피드CC30
1공설운동장2019-12-15212500축구경기jw조기회30
2공설운동장2019-12-22150000축구경기80조기회50
3국민체육센터2019-01-19125500배드민턴 친선경기미르썬콕10
4국민체육센터2019-01-2195000생활체육활동(헬스클럽)생활체육협의회95
5국민체육센터2019-02-23120000테니스 친선경기영산테니스클럽30
6국민체육센터2019-02-2425000생활체육활동(헬스클럽)생활체육협의회25
7국민체육센터2019-03-01196900영남대학교 신입생 오리엔테이션(공과대)영남대학교1400
8국민체육센터2019-03-16126000배드민턴 친선경기민우애60
9국민체육센터2019-03-31122700배드민턴 친선경기미르썬콕10
구 분사용일사용료행사명사용단체인원수
90스포츠파크2019-09-21168750친선경기경상남도 장애인복지관150
91스포츠파크2019-10-24137500친선경기하이에어코리아30
92스포츠파크2019-10-27225000친선경기동백48
93스포츠파크2019-11-01175000친선경기두산공작기계35
94스포츠파크2019-11-02112500친선경기두산공작기계30
95스포츠파크2019-11-02337500친선경기마산동부경찰서200
96스포츠파크2019-11-13137500친선경기하이에어코리아30
97스포츠파크2019-11-28137500친선경기하이에어코리아30
98스포츠파크2019-12-01112500친선경기투&원FC30
99스포츠파크2019-12-08450000친선경기마산50연합회120