Overview

Dataset statistics

Number of variables13
Number of observations265
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.6 KiB
Average record size in memory106.5 B

Variable types

Numeric1
Categorical8
Text4

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
휴무 is highly overall correlated with 개방시간 and 1 other fieldsHigh correlation
개방시간 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
이용료 is highly overall correlated with 휴무 and 1 other fieldsHigh correlation
휴무 is highly imbalanced (80.5%)Imbalance
순번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:53:00.969132
Analysis finished2024-03-14 01:53:01.763581
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct265
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.65283
Minimum1
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-14T10:53:01.830055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.2
Q172
median144
Q3226
95-th percentile280.8
Maximum295
Range294
Interquartile range (IQR)154

Descriptive statistics

Standard deviation87.642915
Coefficient of variation (CV)0.58958121
Kurtosis-1.2783619
Mean148.65283
Median Absolute Deviation (MAD)77
Skewness-0.014704834
Sum39393
Variance7681.2805
MonotonicityStrictly increasing
2024-03-14T10:53:01.969256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
209 1
 
0.4%
194 1
 
0.4%
195 1
 
0.4%
196 1
 
0.4%
197 1
 
0.4%
199 1
 
0.4%
200 1
 
0.4%
201 1
 
0.4%
202 1
 
0.4%
Other values (255) 255
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
295 1
0.4%
294 1
0.4%
293 1
0.4%
292 1
0.4%
291 1
0.4%
290 1
0.4%
289 1
0.4%
288 1
0.4%
287 1
0.4%
286 1
0.4%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
전주시
31 
익산시
30 
고창군
25 
장수군
24 
정읍시
23 
Other values (9)
132 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 31
11.7%
익산시 30
11.3%
고창군 25
9.4%
장수군 24
9.1%
정읍시 23
8.7%
임실군 21
7.9%
완주군 20
7.5%
군산시 18
6.8%
무주군 18
6.8%
순창군 16
6.0%
Other values (4) 39
14.7%

Length

2024-03-14T10:53:02.105669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 31
11.7%
익산시 30
11.3%
고창군 25
9.4%
장수군 24
9.1%
정읍시 23
8.7%
임실군 21
7.9%
완주군 20
7.5%
군산시 18
6.8%
무주군 18
6.8%
순창군 16
6.0%
Other values (4) 39
14.7%

시설명
Text

UNIQUE 

Distinct265
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:53:02.372178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.754717
Min length3

Characters and Unicode

Total characters2585
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)100.0%

Sample

1st row거마공원
2nd row전주월드컵경기장
3rd row전주시자전거 경륜장
4th row전주종합경기장(축구장)
5th row전주종합경기장내(테니스장)
ValueCountFrequency (%)
전천후게이트볼장 46
 
11.2%
게이트볼장 19
 
4.6%
테니스장 9
 
2.2%
축구장 8
 
1.9%
실내체육관 6
 
1.5%
실내게이트볼장 5
 
1.2%
청소년수련관 4
 
1.0%
고창 4
 
1.0%
부안 3
 
0.7%
장수 3
 
0.7%
Other values (273) 305
74.0%
2024-03-14T10:53:02.779933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 246
 
9.5%
147
 
5.7%
이 92
 
3.6%
트 91
 
3.5%
게 89
 
3.4%
볼 89
 
3.4%
체 84
 
3.2%
육 76
 
2.9%
공 73
 
2.8%
전 73
 
2.8%
Other values (196) 1525
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2401
92.9%
Space Separator 147
 
5.7%
Open Punctuation 17
 
0.7%
Close Punctuation 17
 
0.7%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 246
 
10.2%
이 92
 
3.8%
트 91
 
3.8%
게 89
 
3.7%
볼 89
 
3.7%
체 84
 
3.5%
육 76
 
3.2%
공 73
 
3.0%
전 73
 
3.0%
천 65
 
2.7%
Other values (191) 1423
59.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2401
92.9%
Common 184
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 246
 
10.2%
이 92
 
3.8%
트 91
 
3.8%
게 89
 
3.7%
볼 89
 
3.7%
체 84
 
3.5%
육 76
 
3.2%
공 73
 
3.0%
전 73
 
3.0%
천 65
 
2.7%
Other values (191) 1423
59.3%
Common
ValueCountFrequency (%)
147
79.9%
( 17
 
9.2%
) 17
 
9.2%
2 2
 
1.1%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2401
92.9%
ASCII 184
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 246
 
10.2%
이 92
 
3.8%
트 91
 
3.8%
게 89
 
3.7%
볼 89
 
3.7%
체 84
 
3.5%
육 76
 
3.2%
공 73
 
3.0%
전 73
 
3.0%
천 65
 
2.7%
Other values (191) 1423
59.3%
ASCII
ValueCountFrequency (%)
147
79.9%
( 17
 
9.2%
) 17
 
9.2%
2 2
 
1.1%
1 1
 
0.5%

도로명주소
Text

Distinct195
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:53:03.060082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.328302
Min length9

Characters and Unicode

Total characters4062
Distinct characters199
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)58.9%

Sample

1st row전주시 완산구 삼천동1가 176-2
2nd row전주시 덕진구 기린대로 1055
3rd row전주시 완산구 백마산길 22-14
4th row전주시 덕진구 기린대로 451
5th row전주시 덕진구 기린대로 451
ValueCountFrequency (%)
전주시 31
 
3.1%
익산시 30
 
3.0%
고창군 25
 
2.5%
장수군 24
 
2.4%
정읍시 23
 
2.3%
임실군 21
 
2.1%
완주군 20
 
2.0%
군산시 18
 
1.8%
무주군 18
 
1.8%
덕진구 17
 
1.7%
Other values (437) 786
77.6%
2024-03-14T10:53:03.432187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
748
 
18.4%
군 169
 
4.2%
1 159
 
3.9%
로 147
 
3.6%
2 135
 
3.3%
면 124
 
3.1%
시 118
 
2.9%
산 110
 
2.7%
3 97
 
2.4%
읍 89
 
2.2%
Other values (189) 2166
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2390
58.8%
Decimal Number 845
 
20.8%
Space Separator 748
 
18.4%
Dash Punctuation 79
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 169
 
7.1%
로 147
 
6.2%
면 124
 
5.2%
시 118
 
4.9%
산 110
 
4.6%
읍 89
 
3.7%
길 84
 
3.5%
주 80
 
3.3%
창 62
 
2.6%
장 57
 
2.4%
Other values (177) 1350
56.5%
Decimal Number
ValueCountFrequency (%)
1 159
18.8%
2 135
16.0%
3 97
11.5%
5 86
10.2%
0 74
8.8%
4 71
8.4%
6 63
 
7.5%
8 60
 
7.1%
9 53
 
6.3%
7 47
 
5.6%
Space Separator
ValueCountFrequency (%)
748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2390
58.8%
Common 1672
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 169
 
7.1%
로 147
 
6.2%
면 124
 
5.2%
시 118
 
4.9%
산 110
 
4.6%
읍 89
 
3.7%
길 84
 
3.5%
주 80
 
3.3%
창 62
 
2.6%
장 57
 
2.4%
Other values (177) 1350
56.5%
Common
ValueCountFrequency (%)
748
44.7%
1 159
 
9.5%
2 135
 
8.1%
3 97
 
5.8%
5 86
 
5.1%
- 79
 
4.7%
0 74
 
4.4%
4 71
 
4.2%
6 63
 
3.8%
8 60
 
3.6%
Other values (2) 100
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2390
58.8%
ASCII 1672
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
748
44.7%
1 159
 
9.5%
2 135
 
8.1%
3 97
 
5.8%
5 86
 
5.1%
- 79
 
4.7%
0 74
 
4.4%
4 71
 
4.2%
6 63
 
3.8%
8 60
 
3.6%
Other values (2) 100
 
6.0%
Hangul
ValueCountFrequency (%)
군 169
 
7.1%
로 147
 
6.2%
면 124
 
5.2%
시 118
 
4.9%
산 110
 
4.6%
읍 89
 
3.7%
길 84
 
3.5%
주 80
 
3.3%
창 62
 
2.6%
장 57
 
2.4%
Other values (177) 1350
56.5%

전화번호
Text

Distinct177
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:53:03.622020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12.026415
Min length1

Characters and Unicode

Total characters3187
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)49.4%

Sample

1st row-
2nd row063-230-9540
3rd row063-239-2602
4th row063-239-2553
5th row063-239-2553
ValueCountFrequency (%)
063-539-5503 12
 
4.5%
063-560-8151 7
 
2.6%
063-452-2924 6
 
2.2%
063-324-2300 5
 
1.9%
063-580-3900 5
 
1.9%
063-640-2902 5
 
1.9%
063-239-2566 5
 
1.9%
063-539-5442 4
 
1.5%
063-351-1165 3
 
1.1%
063-859-4617 3
 
1.1%
Other values (168) 213
79.5%
2024-03-14T10:53:03.959304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 529
16.6%
- 529
16.6%
3 481
15.1%
6 452
14.2%
5 312
9.8%
2 253
7.9%
4 194
 
6.1%
1 132
 
4.1%
9 126
 
4.0%
8 121
 
3.8%
Other values (3) 58
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2652
83.2%
Dash Punctuation 529
 
16.6%
Other Punctuation 3
 
0.1%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 529
19.9%
3 481
18.1%
6 452
17.0%
5 312
11.8%
2 253
9.5%
4 194
 
7.3%
1 132
 
5.0%
9 126
 
4.8%
8 121
 
4.6%
7 52
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 529
16.6%
- 529
16.6%
3 481
15.1%
6 452
14.2%
5 312
9.8%
2 253
7.9%
4 194
 
6.1%
1 132
 
4.1%
9 126
 
4.0%
8 121
 
3.8%
Other values (3) 58
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 529
16.6%
- 529
16.6%
3 481
15.1%
6 452
14.2%
5 312
9.8%
2 253
7.9%
4 194
 
6.1%
1 132
 
4.1%
9 126
 
4.0%
8 121
 
3.8%
Other values (3) 58
 
1.8%

면적
Text

Distinct181
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-14T10:53:04.329931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.0754717
Min length1

Characters and Unicode

Total characters1080
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)58.5%

Sample

1st row-
2nd row7,140
3rd row13,636
4th row7,933
5th row5,688
ValueCountFrequency (%)
374 14
 
5.3%
7,140 10
 
3.8%
300 9
 
3.4%
396 9
 
3.4%
432 8
 
3.0%
7
 
2.6%
748 5
 
1.9%
414 5
 
1.9%
500 4
 
1.5%
417 3
 
1.1%
Other values (171) 191
72.1%
2024-03-14T10:53:04.763469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 144
13.3%
0 134
12.4%
4 123
11.4%
3 118
10.9%
1 102
9.4%
7 99
9.2%
5 93
8.6%
2 77
7.1%
6 71
6.6%
8 63
5.8%
Other values (3) 56
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
85.9%
Other Punctuation 145
 
13.4%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134
14.4%
4 123
13.3%
3 118
12.7%
1 102
11.0%
7 99
10.7%
5 93
10.0%
2 77
8.3%
6 71
7.7%
8 63
6.8%
9 48
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 144
99.3%
. 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 144
13.3%
0 134
12.4%
4 123
11.4%
3 118
10.9%
1 102
9.4%
7 99
9.2%
5 93
8.6%
2 77
7.1%
6 71
6.6%
8 63
5.8%
Other values (3) 56
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 144
13.3%
0 134
12.4%
4 123
11.4%
3 118
10.9%
1 102
9.4%
7 99
9.2%
5 93
8.6%
2 77
7.1%
6 71
6.6%
8 63
5.8%
Other values (3) 56
 
5.2%

휴무
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
-
239 
연중무휴
 
19
명절당일
 
1
매월 둘째주, 넷째주 일요일
 
1
매월 첫째주, 셋째주 일요일
 
1
Other values (4)
 
4

Length

Max length15
Median length1
Mean length1.4377358
Min length1

Unique

Unique7 ?
Unique (%)2.6%

Sample

1st row-
2nd row연중무휴
3rd row연중무휴
4th row연중무휴
5th row연중무휴

Common Values

ValueCountFrequency (%)
- 239
90.2%
연중무휴 19
 
7.2%
명절당일 1
 
0.4%
매월 둘째주, 넷째주 일요일 1
 
0.4%
매월 첫째주, 셋째주 일요일 1
 
0.4%
매월 첫째,셋째주 일요일 1
 
0.4%
매월 첫재쭈 월요일, 명절 1
 
0.4%
공휴일 1
 
0.4%
무휴 1
 
0.4%

Length

2024-03-14T10:53:04.891617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:04.993396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
239
86.6%
연중무휴 19
 
6.9%
매월 4
 
1.4%
일요일 3
 
1.1%
명절당일 1
 
0.4%
둘째주 1
 
0.4%
넷째주 1
 
0.4%
첫째주 1
 
0.4%
셋째주 1
 
0.4%
첫째,셋째주 1
 
0.4%
Other values (5) 5
 
1.8%

개방시간
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
월~금 : 08:00~21:00 주말:09:00~18:00
69 
상시 : 08:00~21:00 주말:09:00~18:00
31 
-
27 
09:00~18:00
22 
매일 : 06:00~21:00 주말:09:00~18:00
17 
Other values (42)
99 

Length

Max length51
Median length32
Mean length23.267925
Min length1

Unique

Unique26 ?
Unique (%)9.8%

Sample

1st row-
2nd row-
3rd row09:00~18:00
4th row06:00~
5th row06:00~21:00

Common Values

ValueCountFrequency (%)
월~금 : 08:00~21:00 주말:09:00~18:00 69
26.0%
상시 : 08:00~21:00 주말:09:00~18:00 31
11.7%
- 27
 
10.2%
09:00~18:00 22
 
8.3%
매일 : 06:00~21:00 주말:09:00~18:00 17
 
6.4%
월~일 : 09:00~18:00 주말:09:00~18:00 13
 
4.9%
매일 : 09:00~18:00 주말:09:00~18:00 11
 
4.2%
매일 : 13:00~18:00 11
 
4.2%
06:00~22:00 8
 
3.0%
매일 : 06:00~18:00 주말:09:00~18:00 6
 
2.3%
Other values (37) 50
18.9%

Length

2024-03-14T10:53:05.105999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
217
26.8%
주말:09:00~18:00 147
18.1%
08:00~21:00 100
12.3%
월~금 82
 
10.1%
매일 58
 
7.2%
09:00~18:00 48
 
5.9%
상시 33
 
4.1%
06:00~21:00 19
 
2.3%
월~일 13
 
1.6%
13:00~18:00 11
 
1.4%
Other values (45) 82
 
10.1%

이용료
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
시설에서 지정한 요금
108 
무료
49 
-
27 
일자별로 상이
19 
월 50,000원
 
8
Other values (42)
54 

Length

Max length54
Median length44
Mean length9.5207547
Min length1

Unique

Unique34 ?
Unique (%)12.8%

Sample

1st row-
2nd row무료
3rd row1인 2시간당 1,000원
4th row1인 2시간당 육상: 300 축구: 2000
5th row4시간당 10,000원, 1일 20,000원, 야외 21,000원

Common Values

ValueCountFrequency (%)
시설에서 지정한 요금 108
40.8%
무료 49
18.5%
- 27
 
10.2%
일자별로 상이 19
 
7.2%
월 50,000원 8
 
3.0%
30000/일 5
 
1.9%
1인 2시간당 1,000원 3
 
1.1%
2시간당 30,000원 2
 
0.8%
성인: 3,000원, 청소년: 2,500원, 어린이/노인: 2,200원 2
 
0.8%
주간 1인: 2,000원, 야간 1인: 3,000원 2
 
0.8%
Other values (37) 40
 
15.1%

Length

2024-03-14T10:53:05.228048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시설에서 108
17.2%
요금 108
17.2%
지정한 108
17.2%
무료 50
 
8.0%
37
 
5.9%
일자별로 19
 
3.0%
상이 19
 
3.0%
월 14
 
2.2%
1인 10
 
1.6%
2시간당 9
 
1.4%
Other values (92) 145
23.1%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
체육정책과
265 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육정책과 265
100.0%

Length

2024-03-14T10:53:05.541470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:05.608321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육정책과 265
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
공개
265 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 265
100.0%

Length

2024-03-14T10:53:05.687156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:05.764416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 265
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2015.1
265 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 265
100.0%

Length

2024-03-14T10:53:05.842504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:05.931152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 265
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1년
265 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 265
100.0%

Length

2024-03-14T10:53:06.030429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:06.105304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 265
100.0%

Interactions

2024-03-14T10:53:01.435127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:53:06.159900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명휴무개방시간이용료
순번1.0000.9670.5340.9190.790
시군명0.9671.0000.5460.9640.839
휴무0.5340.5461.0000.9700.945
개방시간0.9190.9640.9701.0000.987
이용료0.7900.8390.9450.9871.000
2024-03-14T10:53:06.270800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명이용료개방시간휴무
시군명1.0000.3910.6740.263
이용료0.3911.0000.5440.664
개방시간0.6740.5441.0000.748
휴무0.2630.6640.7481.000
2024-03-14T10:53:06.373496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명휴무개방시간이용료
순번1.0000.8490.2760.5830.380
시군명0.8491.0000.2630.6740.391
휴무0.2760.2631.0000.7480.664
개방시간0.5830.6740.7481.0000.544
이용료0.3800.3910.6640.5441.000

Missing values

2024-03-14T10:53:01.557946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:53:01.697224image/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

순번시군명시설명도로명주소전화번호면적휴무개방시간이용료자료출처공개여부작성일갱신주기
01전주시거마공원전주시 완산구 삼천동1가 176-2-----체육정책과공개2015.11년
12전주시전주월드컵경기장전주시 덕진구 기린대로 1055063-230-95407,140연중무휴-무료체육정책과공개2015.11년
23전주시전주시자전거 경륜장전주시 완산구 백마산길 22-14063-239-260213,636연중무휴09:00~18:001인 2시간당 1,000원체육정책과공개2015.11년
34전주시전주종합경기장(축구장)전주시 덕진구 기린대로 451063-239-25537,933연중무휴06:00~1인 2시간당 육상: 300 축구: 2000체육정책과공개2015.11년
45전주시전주종합경기장내(테니스장)전주시 덕진구 기린대로 451063-239-25535,688연중무휴06:00~21:004시간당 10,000원, 1일 20,000원, 야외 21,000원체육정책과공개2015.11년
56전주시전주종합경기장(야구장)전주시 덕진구 기린대로 451063-239-255314,476연중무휴09:00~18:001인2시간당 2,000원체육정책과공개2015.11년
67전주시전주실내체육관전주시 덕진구 권삼득로 308063-239-25581,676연중무휴05:00~20:001인 2시간당 1,000원체육정책과공개2015.11년
78전주시전주화산체육관(종합관)전주시 완산구 백제대로 310063-239-25774,685연중무휴05:00~20:001인 2시간당 1,000원체육정책과공개2015.11년
89전주시전주화산체육관 전주실내빙상경기장전주시 완산구 백제대로 310063-239-25784,362연중무휴05:00~20:00어른 : 3,000원, 청소년/군인 : 2,500 원, 어린이 : 2,000 원체육정책과공개2015.11년
910전주시전주승마장전주시 덕진구 호성로 19063-239-26957,325-09:00~18:00시간당 어른:20,000원 어린이:10,000원체육정책과공개2015.11년
순번시군명시설명도로명주소전화번호면적휴무개방시간이용료자료출처공개여부작성일갱신주기
255286부안군부안공설운동장부안군 행안면 체육공원길 31063-580-39006,773-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
256287부안군부안국민체육센터수영장부안군 부안읍 석정로 165063-580-39952,453-월~토 : 09:00~22:00 주말:09:00~22:00시설에서 지정한 요금체육정책과공개2015.11년
257288부안군부안스포츠파크부안군 행안면 체육공원길 31063-580-39006,348-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
258289부안군부안군공설운동장 씨름장부안군 행안면 체육공원길 31063-580-46954,426---체육정책과공개2015.11년
259290부안군상서 게이트볼장부안군 상서면 고잔길 8063-581-9254374-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
260291부안군부안스포츠파크 축구장부안군 행안면 체육공원길 31063-580-390017,940-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
261292부안군심고정부안군 행안면 체육공원길 81063-580-3900415-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
262293부안군주산면 게이트볼장부안군 주산면 종산로 13063-581-1651374-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
263294부안군줄포실내게이트볼장부안군 줄포면 서빈2길 13063-583-2680374-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년
264295부안군진서면 게이트볼장부안군 진서면 곰소윗길 12063-583-3070374-월~일 : 09:00~18:00 주말:09:00~18:00시설에서 지정한 요금체육정책과공개2015.11년