Overview

Dataset statistics

Number of variables11
Number of observations115
Missing cells117
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory92.1 B

Variable types

Text5
Categorical4
Numeric1
Unsupported1

Dataset

Description시설명, 소재지, 소재지 도로명 주소, 소재지 지번 주소, 준공년도, 관리기관, 전화번호 등 충청북도 전천후게이트볼장 현황 입니다.
URLhttps://www.data.go.kr/data/15071064/fileData.do

Alerts

관리기관 is highly overall correlated with 소재시군 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 소재시군 and 2 other fieldsHigh correlation
소재시군 is highly overall correlated with 관리기관 and 1 other fieldsHigh correlation
경기장수(면) is highly overall correlated with 전화번호High correlation
경기장수(면) is highly imbalanced (71.5%)Imbalance
Unnamed: 10 has 115 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 00:30:26.052816
Analysis finished2023-12-12 00:30:27.020067
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T09:30:27.139925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length10.452174
Min length7

Characters and Unicode

Total characters1202
Distinct characters126
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

Unique115 ?
Unique (%)100.0%

Sample

1st row청주전천후게이트볼장
2nd row오창읍전천후게이트볼장
3rd row미원면전천후게이트볼장
4th row문의면전천후게이트볼장
5th row내수읍전천후게이트볼장
ValueCountFrequency (%)
게이트볼장 8
 
6.2%
전천후 7
 
5.4%
청주전천후게이트볼장 1
 
0.8%
황간면전천후게이트볼장 1
 
0.8%
연풍전천후게이트볼장 1
 
0.8%
신기전천후게이트볼장 1
 
0.8%
사리면전천후게이트볼장 1
 
0.8%
괴산전천후게이트볼장 1
 
0.8%
구정게이트볼장 1
 
0.8%
오상게이트볼장 1
 
0.8%
Other values (107) 107
82.3%
2023-12-12T09:30:27.426708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 122
10.1%
장 116
9.7%
볼 115
9.6%
트 115
9.6%
게 114
9.5%
천 102
 
8.5%
전 94
 
7.8%
후 94
 
7.8%
면 31
 
2.6%
15
 
1.2%
Other values (116) 284
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
98.4%
Space Separator 15
 
1.2%
Decimal Number 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 122
10.3%
장 116
9.8%
볼 115
9.7%
트 115
9.7%
게 114
9.6%
천 102
 
8.6%
전 94
 
7.9%
후 94
 
7.9%
면 31
 
2.6%
산 12
 
1.0%
Other values (112) 268
22.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
98.4%
Common 19
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 122
10.3%
장 116
9.8%
볼 115
9.7%
트 115
9.7%
게 114
9.6%
천 102
 
8.6%
전 94
 
7.9%
후 94
 
7.9%
면 31
 
2.6%
산 12
 
1.0%
Other values (112) 268
22.7%
Common
ValueCountFrequency (%)
15
78.9%
2 2
 
10.5%
( 1
 
5.3%
) 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
98.4%
ASCII 19
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 122
10.3%
장 116
9.8%
볼 115
9.7%
트 115
9.7%
게 114
9.6%
천 102
 
8.6%
전 94
 
7.9%
후 94
 
7.9%
면 31
 
2.6%
산 12
 
1.0%
Other values (112) 268
22.7%
ASCII
ValueCountFrequency (%)
15
78.9%
2 2
 
10.5%
( 1
 
5.3%
) 1
 
5.3%

소재시군
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영동군
14 
괴산군
14 
제천시
13 
청주시
12 
보은군
11 
Other values (6)
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영동군 14
12.2%
괴산군 14
12.2%
제천시 13
11.3%
청주시 12
10.4%
보은군 11
9.6%
옥천군 11
9.6%
음성군 11
9.6%
충주시 9
7.8%
진천군 9
7.8%
단양군 9
7.8%

Length

2023-12-12T09:30:27.536005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영동군 14
12.2%
괴산군 14
12.2%
제천시 13
11.3%
청주시 12
10.4%
보은군 11
9.6%
옥천군 11
9.6%
음성군 11
9.6%
충주시 9
7.8%
진천군 9
7.8%
단양군 9
7.8%

소재지도로명주소
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T09:30:27.801172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length21.252174
Min length15

Characters and Unicode

Total characters2444
Distinct characters161
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

Unique115 ?
Unique (%)100.0%

Sample

1st row충청북도 청주시 청원구 충청대로62번길 1-18
2nd row충청북도 청주시 청원구 오창읍 모정길 14
3rd row충청북도 청주시 상당구 미원면 미원초정로 23-35
4th row충청북도 청주시 문의시내1길 11-10
5th row충청북도 청주시 청원구 내수읍 내수학평길 51-2
ValueCountFrequency (%)
충청북도 116
 
20.2%
괴산군 14
 
2.4%
영동군 14
 
2.4%
제천시 13
 
2.3%
청주시 12
 
2.1%
옥천군 11
 
1.9%
음성군 11
 
1.9%
보은군 11
 
1.9%
충주시 9
 
1.6%
단양군 9
 
1.6%
Other values (302) 353
61.6%
2023-12-12T09:30:28.187146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
460
18.8%
청 144
 
5.9%
충 126
 
5.2%
북 121
 
5.0%
도 119
 
4.9%
군 84
 
3.4%
면 81
 
3.3%
1 79
 
3.2%
로 75
 
3.1%
2 57
 
2.3%
Other values (151) 1098
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
64.6%
Space Separator 460
 
18.8%
Decimal Number 369
 
15.1%
Dash Punctuation 35
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 144
 
9.1%
충 126
 
8.0%
북 121
 
7.7%
도 119
 
7.5%
군 84
 
5.3%
면 81
 
5.1%
로 75
 
4.7%
길 53
 
3.4%
천 47
 
3.0%
산 37
 
2.3%
Other values (139) 693
43.9%
Decimal Number
ValueCountFrequency (%)
1 79
21.4%
2 57
15.4%
3 46
12.5%
4 35
9.5%
5 31
 
8.4%
7 28
 
7.6%
9 26
 
7.0%
0 26
 
7.0%
6 24
 
6.5%
8 17
 
4.6%
Space Separator
ValueCountFrequency (%)
460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
64.6%
Common 864
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 144
 
9.1%
충 126
 
8.0%
북 121
 
7.7%
도 119
 
7.5%
군 84
 
5.3%
면 81
 
5.1%
로 75
 
4.7%
길 53
 
3.4%
천 47
 
3.0%
산 37
 
2.3%
Other values (139) 693
43.9%
Common
ValueCountFrequency (%)
460
53.2%
1 79
 
9.1%
2 57
 
6.6%
3 46
 
5.3%
4 35
 
4.1%
- 35
 
4.1%
5 31
 
3.6%
7 28
 
3.2%
9 26
 
3.0%
0 26
 
3.0%
Other values (2) 41
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
64.6%
ASCII 864
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
460
53.2%
1 79
 
9.1%
2 57
 
6.6%
3 46
 
5.3%
4 35
 
4.1%
- 35
 
4.1%
5 31
 
3.6%
7 28
 
3.2%
9 26
 
3.0%
0 26
 
3.0%
Other values (2) 41
 
4.7%
Hangul
ValueCountFrequency (%)
청 144
 
9.1%
충 126
 
8.0%
북 121
 
7.7%
도 119
 
7.5%
군 84
 
5.3%
면 81
 
5.1%
로 75
 
4.7%
길 53
 
3.4%
천 47
 
3.0%
산 37
 
2.3%
Other values (139) 693
43.9%

소재지지번주소
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T09:30:28.482358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.747826
Min length16

Characters and Unicode

Total characters2501
Distinct characters156
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

Unique115 ?
Unique (%)100.0%

Sample

1st row충청북도 청주시 청원구 내덕동 산61-7
2nd row충청북도 청주시 청원구 오창읍 모정리 322-21
3rd row충청북도 청주시 상당구 미원면 내산리 229
4th row충청북도 청주시 상당구 문의면 미천리 153
5th row충청북도 청주시 청원구 내수읍 학평리 140-17
ValueCountFrequency (%)
충청북도 115
 
19.6%
영동군 15
 
2.6%
괴산군 14
 
2.4%
제천시 13
 
2.2%
청주시 12
 
2.0%
옥천군 11
 
1.9%
음성군 11
 
1.9%
보은군 11
 
1.9%
단양군 9
 
1.5%
진천군 9
 
1.5%
Other values (321) 368
62.6%
2023-12-12T09:30:28.884015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
19.1%
청 139
 
5.6%
충 124
 
5.0%
북 119
 
4.8%
도 119
 
4.8%
리 107
 
4.3%
군 84
 
3.4%
면 84
 
3.4%
1 81
 
3.2%
- 69
 
2.8%
Other values (146) 1098
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1534
61.3%
Space Separator 477
 
19.1%
Decimal Number 421
 
16.8%
Dash Punctuation 69
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 139
 
9.1%
충 124
 
8.1%
북 119
 
7.8%
도 119
 
7.8%
리 107
 
7.0%
군 84
 
5.5%
면 84
 
5.5%
천 46
 
3.0%
산 42
 
2.7%
시 35
 
2.3%
Other values (134) 635
41.4%
Decimal Number
ValueCountFrequency (%)
1 81
19.2%
2 53
12.6%
3 47
11.2%
4 44
10.5%
6 38
9.0%
5 37
8.8%
7 35
8.3%
9 34
8.1%
0 29
 
6.9%
8 23
 
5.5%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1534
61.3%
Common 967
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 139
 
9.1%
충 124
 
8.1%
북 119
 
7.8%
도 119
 
7.8%
리 107
 
7.0%
군 84
 
5.5%
면 84
 
5.5%
천 46
 
3.0%
산 42
 
2.7%
시 35
 
2.3%
Other values (134) 635
41.4%
Common
ValueCountFrequency (%)
477
49.3%
1 81
 
8.4%
- 69
 
7.1%
2 53
 
5.5%
3 47
 
4.9%
4 44
 
4.6%
6 38
 
3.9%
5 37
 
3.8%
7 35
 
3.6%
9 34
 
3.5%
Other values (2) 52
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1534
61.3%
ASCII 967
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
49.3%
1 81
 
8.4%
- 69
 
7.1%
2 53
 
5.5%
3 47
 
4.9%
4 44
 
4.6%
6 38
 
3.9%
5 37
 
3.8%
7 35
 
3.6%
9 34
 
3.5%
Other values (2) 52
 
5.4%
Hangul
ValueCountFrequency (%)
청 139
 
9.1%
충 124
 
8.1%
북 119
 
7.8%
도 119
 
7.8%
리 107
 
7.0%
군 84
 
5.5%
면 84
 
5.5%
천 46
 
3.0%
산 42
 
2.7%
시 35
 
2.3%
Other values (134) 635
41.4%

건축면적(연면적)(제곱미터)
Text

Distinct95
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T09:30:29.106761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length10.878261
Min length10

Characters and Unicode

Total characters1251
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)73.9%

Sample

1st row1059(1059)
2nd row 549(549)
3rd row 498(498)
4th row 549(549)
5th row 549(549)
ValueCountFrequency (%)
498(498 6
 
5.2%
400(400 4
 
3.5%
432(432 4
 
3.5%
497(497 3
 
2.6%
549(549 3
 
2.6%
410(410 2
 
1.7%
374(374 2
 
1.7%
600(600 2
 
1.7%
498.92(498.92 2
 
1.7%
437(437 2
 
1.7%
Other values (85) 85
73.9%
2023-12-12T09:30:29.459854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
18.2%
4 149
11.9%
( 115
9.2%
) 115
9.2%
9 106
8.5%
3 88
 
7.0%
5 87
 
7.0%
6 69
 
5.5%
0 66
 
5.3%
8 54
 
4.3%
Other values (4) 174
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 759
60.7%
Space Separator 228
 
18.2%
Open Punctuation 115
 
9.2%
Close Punctuation 115
 
9.2%
Other Punctuation 34
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 149
19.6%
9 106
14.0%
3 88
11.6%
5 87
11.5%
6 69
9.1%
0 66
8.7%
8 54
 
7.1%
2 50
 
6.6%
7 50
 
6.6%
1 40
 
5.3%
Space Separator
ValueCountFrequency (%)
228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Other Punctuation
ValueCountFrequency (%)
. 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
228
18.2%
4 149
11.9%
( 115
9.2%
) 115
9.2%
9 106
8.5%
3 88
 
7.0%
5 87
 
7.0%
6 69
 
5.5%
0 66
 
5.3%
8 54
 
4.3%
Other values (4) 174
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
18.2%
4 149
11.9%
( 115
9.2%
) 115
9.2%
9 106
8.5%
3 88
 
7.0%
5 87
 
7.0%
6 69
 
5.5%
0 66
 
5.3%
8 54
 
4.3%
Other values (4) 174
13.9%

규격
Text

Distinct59
Distinct (%)51.8%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-12T09:30:29.658039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.5964912
Min length6

Characters and Unicode

Total characters980
Distinct characters14
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

Unique38 ?
Unique (%)33.3%

Sample

1st row20.5×50×6m
2nd row24.5×19.5×6m
3rd row24.9×20×6m
4th row24.9×20×6m
5th row24.9×20×6m
ValueCountFrequency (%)
20×15m 11
 
9.6%
15×20×5m 9
 
7.9%
22×17×6m 6
 
5.3%
24.9×20×6m 5
 
4.4%
21×27m 5
 
4.4%
20×15×5m 5
 
4.4%
23.5×17×5m 4
 
3.5%
20×15×6.5m 3
 
2.6%
24×19×5m 3
 
2.6%
19×24×7m 3
 
2.6%
Other values (48) 60
52.6%
2023-12-12T09:30:30.184623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
× 200
20.4%
2 164
16.7%
m 114
11.6%
1 107
10.9%
5 101
10.3%
. 58
 
5.9%
0 55
 
5.6%
7 46
 
4.7%
6 46
 
4.7%
9 32
 
3.3%
Other values (4) 57
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 607
61.9%
Math Symbol 200
 
20.4%
Lowercase Letter 114
 
11.6%
Other Punctuation 58
 
5.9%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 164
27.0%
1 107
17.6%
5 101
16.6%
0 55
 
9.1%
7 46
 
7.6%
6 46
 
7.6%
9 32
 
5.3%
4 28
 
4.6%
8 17
 
2.8%
3 11
 
1.8%
Math Symbol
ValueCountFrequency (%)
× 200
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 114
100.0%
Other Punctuation
ValueCountFrequency (%)
. 58
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
88.4%
Latin 114
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
× 200
23.1%
2 164
18.9%
1 107
12.4%
5 101
11.7%
. 58
 
6.7%
0 55
 
6.4%
7 46
 
5.3%
6 46
 
5.3%
9 32
 
3.7%
4 28
 
3.2%
Other values (3) 29
 
3.3%
Latin
ValueCountFrequency (%)
m 114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
79.6%
None 200
 
20.4%

Most frequent character per block

None
ValueCountFrequency (%)
× 200
100.0%
ASCII
ValueCountFrequency (%)
2 164
21.0%
m 114
14.6%
1 107
13.7%
5 101
12.9%
. 58
 
7.4%
0 55
 
7.1%
7 46
 
5.9%
6 46
 
5.9%
9 32
 
4.1%
4 28
 
3.6%
Other values (3) 29
 
3.7%

경기장수(면)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
102 
2
 
9
4
 
2
6
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 102
88.7%
2 9
 
7.8%
4 2
 
1.7%
6 1
 
0.9%
5 1
 
0.9%

Length

2023-12-12T09:30:30.291209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:30:30.374502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
88.7%
2 9
 
7.8%
4 2
 
1.7%
6 1
 
0.9%
5 1
 
0.9%

준공년도
Real number (ℝ)

Distinct21
Distinct (%)18.4%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2010.0965
Minimum2000
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T09:30:30.459047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2003.65
Q12007
median2010
Q32012.75
95-th percentile2017
Maximum2021
Range21
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.2550736
Coefficient of variation (CV)0.0021168504
Kurtosis-0.022134642
Mean2010.0965
Median Absolute Deviation (MAD)3
Skewness0.26524981
Sum229151
Variance18.105651
MonotonicityNot monotonic
2023-12-12T09:30:30.551008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2009 14
12.2%
2007 13
11.3%
2012 11
9.6%
2010 10
8.7%
2008 10
8.7%
2005 9
7.8%
2011 8
 
7.0%
2013 7
 
6.1%
2017 6
 
5.2%
2015 5
 
4.3%
Other values (11) 21
18.3%
ValueCountFrequency (%)
2000 2
 
1.7%
2002 1
 
0.9%
2003 3
 
2.6%
2004 1
 
0.9%
2005 9
7.8%
2006 3
 
2.6%
2007 13
11.3%
2008 10
8.7%
2009 14
12.2%
2010 10
8.7%
ValueCountFrequency (%)
2021 1
 
0.9%
2020 2
 
1.7%
2019 1
 
0.9%
2018 1
 
0.9%
2017 6
5.2%
2016 3
 
2.6%
2015 5
4.3%
2014 3
 
2.6%
2013 7
6.1%
2012 11
9.6%

관리기관
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영동군 체육시설사업소
14 
보은군
11 
옥천군 체육시설사업소
11 
시설관리사업소
11 
단양군청 체육레저과
9 
Other values (37)
59 

Length

Max length11
Median length9
Mean length7.7913043
Min length3

Unique

Unique30 ?
Unique (%)26.1%

Sample

1st row내덕복지관
2nd row오창읍
3rd row미원면
4th row문의면
5th row내수읍

Common Values

ValueCountFrequency (%)
영동군 체육시설사업소 14
12.2%
보은군 11
 
9.6%
옥천군 체육시설사업소 11
 
9.6%
시설관리사업소 11
 
9.6%
단양군청 체육레저과 9
 
7.8%
괴산군 주민복지과 7
 
6.1%
진천군체육진흥지원단 7
 
6.1%
괴산군주민복지과 6
 
5.2%
제천시시설관리사업소 3
 
2.6%
오창읍 2
 
1.7%
Other values (32) 34
29.6%

Length

2023-12-12T09:30:30.658010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육시설사업소 25
14.8%
영동군 14
 
8.3%
시설관리사업소 12
 
7.1%
보은군 11
 
6.5%
옥천군 11
 
6.5%
제천시 10
 
5.9%
단양군청 9
 
5.3%
체육레저과 9
 
5.3%
괴산군 8
 
4.7%
주민복지과 7
 
4.1%
Other values (36) 53
31.4%

전화번호
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
043-740-5983
14 
043-830-3406
13 
043-730-4884
11 
043-540-3598
10 
043-871-2482
10 
Other values (36)
57 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique30 ?
Unique (%)26.1%

Sample

1st row043-216-9810
2nd row043-201-8976
3rd row043-201-5552
4th row043-201-5704
5th row043-201-8504

Common Values

ValueCountFrequency (%)
043-740-5983 14
12.2%
043-830-3406 13
11.3%
043-730-4884 11
 
9.6%
043-540-3598 10
 
8.7%
043-871-2482 10
 
8.7%
043-539-7692 9
 
7.8%
043-420-2952 9
 
7.8%
043-850-3905 3
 
2.6%
043-641-5597 2
 
1.7%
043-835-4922 2
 
1.7%
Other values (31) 32
27.8%

Length

2023-12-12T09:30:30.760679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
043-740-5983 14
12.2%
043-830-3406 13
11.3%
043-730-4884 11
 
9.6%
043-540-3598 10
 
8.7%
043-871-2482 10
 
8.7%
043-539-7692 9
 
7.8%
043-420-2952 9
 
7.8%
043-850-3905 3
 
2.6%
043-850-6622 2
 
1.7%
043-641-5597 2
 
1.7%
Other values (31) 32
27.8%

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing115
Missing (%)100.0%
Memory size1.1 KiB

Interactions

2023-12-12T09:30:26.671948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:30:30.835175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재시군건축면적(연면적)(제곱미터)규격경기장수(면)준공년도관리기관전화번호
소재시군1.0000.9640.9880.2790.2801.0001.000
건축면적(연면적)(제곱미터)0.9641.0000.9880.9990.9360.0000.000
규격0.9880.9881.0000.8190.7820.0000.628
경기장수(면)0.2790.9990.8191.0000.0350.5990.903
준공년도0.2800.9360.7820.0351.0000.4290.461
관리기관1.0000.0000.0000.5990.4291.0000.998
전화번호1.0000.0000.6280.9030.4610.9981.000
2023-12-12T09:30:30.943495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관소재시군경기장수(면)전화번호
관리기관1.0000.8380.2620.912
소재시군0.8381.0000.1500.844
경기장수(면)0.2620.1501.0000.558
전화번호0.9120.8440.5581.000
2023-12-12T09:30:31.030856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
준공년도소재시군경기장수(면)관리기관전화번호
준공년도1.0000.1300.0380.2250.227
소재시군0.1301.0000.1500.8380.844
경기장수(면)0.0380.1501.0000.2620.558
관리기관0.2250.8380.2621.0000.912
전화번호0.2270.8440.5580.9121.000

Missing values

2023-12-12T09:30:26.758707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:30:26.880052image/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.
2023-12-12T09:30:26.984224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명소재시군소재지도로명주소소재지지번주소건축면적(연면적)(제곱미터)규격경기장수(면)준공년도관리기관전화번호Unnamed: 10
0청주전천후게이트볼장청주시충청북도 청주시 청원구 충청대로62번길 1-18충청북도 청주시 청원구 내덕동 산61-71059(1059)20.5×50×6m22007내덕복지관043-216-9810<NA>
1오창읍전천후게이트볼장청주시충청북도 청주시 청원구 오창읍 모정길 14충청북도 청주시 청원구 오창읍 모정리 322-21549(549)24.5×19.5×6m12007오창읍043-201-8976<NA>
2미원면전천후게이트볼장청주시충청북도 청주시 상당구 미원면 미원초정로 23-35충청북도 청주시 상당구 미원면 내산리 229498(498)24.9×20×6m12007미원면043-201-5552<NA>
3문의면전천후게이트볼장청주시충청북도 청주시 문의시내1길 11-10충청북도 청주시 상당구 문의면 미천리 153549(549)24.9×20×6m12007문의면043-201-5704<NA>
4내수읍전천후게이트볼장청주시충청북도 청주시 청원구 내수읍 내수학평길 51-2충청북도 청주시 청원구 내수읍 학평리 140-17549(549)24.9×20×6m12009내수읍043-201-8504<NA>
5강외면전천후게이트볼장청주시충청북도 청주시 흥덕구 오소읍 오송리 263-1충청북도 청주시 흥덕구 오송읍 오송리 308498(498)24.9×20×6m12009오송읍043-201-7521<NA>
6남이면전천후게이트볼장청주시충청북도 청주시 서원구 남이면 척산1길 29충청북도 청주시 서원구 남이면 척산리 489540(540)24.9×20×6m12010남이면043-201-6504<NA>
7가덕생활체육공원게이트볼장청주시충청북도 청주시 상당구 가덕면 인차3길 51-2충청북도 청주시 상당구 가덕면 인차리 산25-1432(432)24×18m12012청주시시설관리공단043-270-8513<NA>
8오창다목적체육관게이트볼장청주시충청북도 청주시 청원구 오창읍 오창대로 197충청북도 청주시 청원구 오창읍 구룡리 375432(432)24×18m12012오창읍043-201-8621<NA>
9낭성면전천후게이트볼장청주시충청북도 청주시 상당구 낭성면 낭성시내길 77충청북도 청주시 상당구 낭성면 호정리 75-2524(498)24.9×20m12016낭성면043-201-5503<NA>
시설명소재시군소재지도로명주소소재지지번주소건축면적(연면적)(제곱미터)규격경기장수(면)준공년도관리기관전화번호Unnamed: 10
105감곡전천후게이트볼장음성군충청북도 음성군 감곡면 감문1길 20충청북도 음성군 감곡면 오향리 1188656(656)15×20m22017시설관리사업소043-871-2482<NA>
106가곡전천후게이트볼장단양군충청북도 단양군 가곡면 남한강로 518충청북도 단양군 가곡면 사평리 489-1395(395)21×19m12007단양군청 체육레저과043-420-2952<NA>
107별곡전천후게이트볼장단양군충청북도 단양군 단양읍 별곡6길 26충청북도 단양군 단양읍 별곡리 15-6623(763)21×19m12002단양군청 체육레저과043-420-2952<NA>
108상진전천후게이트볼장단양군충청북도 단양군 단양읍 상진로 15충청북도 단양군 단양읍 상진리 90576(559)21×27m12000단양군청 체육레저과043-420-2952<NA>
109평동전천후게이트볼장단양군충청북도 단양군 매포읍 평동4로 77충청북도 단양군 매포읍 평동리 464467(467)21×27m12003단양군청 체육레저과043-420-2952<NA>
110임현전천후게이트볼장단양군충청북도 단양군 어상천면 어상천로 974-22충청북도 단양군 어상천면 임현리 1140-4392(392)21×27m12003단양군청 체육레저과043-420-2952<NA>
111적성전천후게이트볼장단양군충청북도 단양군 적성면 금수산로 970충청북도 단양군 적성면 하리 116-1501(497)21×27m12003단양군청 체육레저과043-420-2952<NA>
112대강전천후게이트볼장단양군충청북도 단양군 대강면 사인암로 760-9충청북도 단양군 대강면 두음리 527617(586)21×27m12005단양군청 체육레저과043-420-2952<NA>
113별방전천후게이트볼장단양군충청북도 단양군 영춘면 별방만종로 593-12충청북도 단양군 영춘면 별방리 536-5475(475)19×25m12009단양군청 체육레저과043-420-2952<NA>
114단성전천후게이트볼장단양군충청북도 단양군 단성면 북하1길 15충청북도 단양군 단성면 북하리 68-1490(490)19×25m12009단양군청 체육레저과043-420-2952<NA>