Overview

Dataset statistics

Number of variables11
Number of observations246
Missing cells65
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory90.5 B

Variable types

Text3
Categorical6
Numeric2

Dataset

Description경기도 수원시 공공체육시설 시설명, 종목, 주소, 위도, 경도,관리기관, 운영주체, 운영주체연락처, 사용료 정보를 포함합니다
URLhttps://www.data.go.kr/data/15051577/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리기관 is highly overall correlated with 운영주체 and 1 other fieldsHigh correlation
연락처 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 연락처High correlation
종목 is highly overall correlated with 사용료High correlation
운영주체 is highly overall correlated with 관리기관 and 1 other fieldsHigh correlation
사용료 is highly overall correlated with 종목High correlation
소재지도로명주소 has 64 (26.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:11:07.840610
Analysis finished2023-12-12 00:11:09.634025
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct240
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T09:11:09.880228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.98374
Min length5

Characters and Unicode

Total characters2702
Distinct characters223
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)95.1%

Sample

1st row수원종합운동장 주경기장
2nd row수원종합운동장 수원체육관
3rd row수원종합운동장 국민체육센터(1층)
4th row수원종합운동장 국민체육센터(2층)
5th row수원종합운동장 보조구장
ValueCountFrequency (%)
농구장 53
 
11.0%
게이트볼장 27
 
5.6%
족구장 26
 
5.4%
배드민턴장 22
 
4.6%
다목적구장 11
 
2.3%
gx 10
 
2.1%
서수원주민편익시설 9
 
1.9%
테니스장 8
 
1.7%
서수원칠보체육관 7
 
1.5%
수원종합운동장 7
 
1.5%
Other values (179) 300
62.5%
2023-12-12T09:11:10.347298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
8.7%
232
 
8.6%
179
 
6.6%
135
 
5.0%
129
 
4.8%
93
 
3.4%
69
 
2.6%
57
 
2.1%
57
 
2.1%
56
 
2.1%
Other values (213) 1461
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2419
89.5%
Space Separator 234
 
8.7%
Uppercase Letter 22
 
0.8%
Decimal Number 12
 
0.4%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
9.6%
179
 
7.4%
135
 
5.6%
129
 
5.3%
93
 
3.8%
69
 
2.9%
57
 
2.4%
57
 
2.4%
56
 
2.3%
52
 
2.1%
Other values (200) 1360
56.2%
Decimal Number
ValueCountFrequency (%)
3 5
41.7%
1 2
 
16.7%
8 1
 
8.3%
2 1
 
8.3%
4 1
 
8.3%
6 1
 
8.3%
5 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
X 12
54.5%
G 10
45.5%
Space Separator
ValueCountFrequency (%)
234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2419
89.5%
Common 261
 
9.7%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
9.6%
179
 
7.4%
135
 
5.6%
129
 
5.3%
93
 
3.8%
69
 
2.9%
57
 
2.4%
57
 
2.4%
56
 
2.3%
52
 
2.1%
Other values (200) 1360
56.2%
Common
ValueCountFrequency (%)
234
89.7%
) 6
 
2.3%
( 6
 
2.3%
3 5
 
1.9%
- 3
 
1.1%
1 2
 
0.8%
8 1
 
0.4%
2 1
 
0.4%
4 1
 
0.4%
6 1
 
0.4%
Latin
ValueCountFrequency (%)
X 12
54.5%
G 10
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2419
89.5%
ASCII 283
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
82.7%
X 12
 
4.2%
G 10
 
3.5%
) 6
 
2.1%
( 6
 
2.1%
3 5
 
1.8%
- 3
 
1.1%
1 2
 
0.7%
8 1
 
0.4%
2 1
 
0.4%
Other values (3) 3
 
1.1%
Hangul
ValueCountFrequency (%)
232
 
9.6%
179
 
7.4%
135
 
5.6%
129
 
5.3%
93
 
3.8%
69
 
2.9%
57
 
2.4%
57
 
2.4%
56
 
2.3%
52
 
2.1%
Other values (200) 1360
56.2%

종목
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
농구
50 
게이트볼
32 
배드민턴
29 
족구
28 
테니스
11 
Other values (36)
96 

Length

Max length12
Median length2
Mean length3.1178862
Min length2

Unique

Unique23 ?
Unique (%)9.3%

Sample

1st row축구+육상+기타
2nd row배구+농구
3rd row배드민턴
4th row탁구
5th row축구

Common Values

ValueCountFrequency (%)
농구 50
20.3%
게이트볼 32
13.0%
배드민턴 29
11.8%
족구 28
11.4%
테니스 11
 
4.5%
축구 10
 
4.1%
GX 10
 
4.1%
풋살 9
 
3.7%
헬스 7
 
2.8%
다목적 6
 
2.4%
Other values (31) 54
22.0%

Length

2023-12-12T09:11:10.501579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농구 50
20.2%
게이트볼 32
12.9%
배드민턴 29
11.7%
족구 29
11.7%
테니스 11
 
4.4%
축구 10
 
4.0%
gx 10
 
4.0%
풋살 9
 
3.6%
헬스 7
 
2.8%
다목적 6
 
2.4%
Other values (30) 55
22.2%
Distinct89
Distinct (%)48.9%
Missing64
Missing (%)26.0%
Memory size2.1 KiB
2023-12-12T09:11:10.800770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.950549
Min length15

Characters and Unicode

Total characters3813
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)30.8%

Sample

1st row경기도 수원시 장안구 경수대로 893
2nd row경기도 수원시 장안구 경수대로 893
3rd row경기도 수원시 장안구 경수대로 893
4th row경기도 수원시 장안구 경수대로 893
5th row경기도 수원시 장안구 경수대로 893
ValueCountFrequency (%)
경기도 182
20.1%
수원시 176
19.4%
권선구 59
 
6.5%
영통구 54
 
6.0%
장안구 37
 
4.1%
팔달구 26
 
2.9%
경수대로 10
 
1.1%
영통로 10
 
1.1%
매송고색로 10
 
1.1%
893 9
 
1.0%
Other values (150) 332
36.7%
2023-12-12T09:11:11.230968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
723
19.0%
215
 
5.6%
197
 
5.2%
196
 
5.1%
187
 
4.9%
182
 
4.8%
182
 
4.8%
182
 
4.8%
179
 
4.7%
1 124
 
3.3%
Other values (80) 1446
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2411
63.2%
Space Separator 723
 
19.0%
Decimal Number 667
 
17.5%
Dash Punctuation 10
 
0.3%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
215
 
8.9%
197
 
8.2%
196
 
8.1%
187
 
7.8%
182
 
7.5%
182
 
7.5%
182
 
7.5%
179
 
7.4%
80
 
3.3%
68
 
2.8%
Other values (66) 743
30.8%
Decimal Number
ValueCountFrequency (%)
1 124
18.6%
3 91
13.6%
2 83
12.4%
5 61
9.1%
6 58
8.7%
0 58
8.7%
7 57
8.5%
4 49
 
7.3%
8 44
 
6.6%
9 42
 
6.3%
Space Separator
ValueCountFrequency (%)
723
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2411
63.2%
Common 1402
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
215
 
8.9%
197
 
8.2%
196
 
8.1%
187
 
7.8%
182
 
7.5%
182
 
7.5%
182
 
7.5%
179
 
7.4%
80
 
3.3%
68
 
2.8%
Other values (66) 743
30.8%
Common
ValueCountFrequency (%)
723
51.6%
1 124
 
8.8%
3 91
 
6.5%
2 83
 
5.9%
5 61
 
4.4%
6 58
 
4.1%
0 58
 
4.1%
7 57
 
4.1%
4 49
 
3.5%
8 44
 
3.1%
Other values (4) 54
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2411
63.2%
ASCII 1402
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
723
51.6%
1 124
 
8.8%
3 91
 
6.5%
2 83
 
5.9%
5 61
 
4.4%
6 58
 
4.1%
0 58
 
4.1%
7 57
 
4.1%
4 49
 
3.5%
8 44
 
3.1%
Other values (4) 54
 
3.9%
Hangul
ValueCountFrequency (%)
215
 
8.9%
197
 
8.2%
196
 
8.1%
187
 
7.8%
182
 
7.5%
182
 
7.5%
182
 
7.5%
179
 
7.4%
80
 
3.3%
68
 
2.8%
Other values (66) 743
30.8%
Distinct146
Distinct (%)59.6%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-12T09:11:11.589204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.881633
Min length17

Characters and Unicode

Total characters5116
Distinct characters75
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

Unique109 ?
Unique (%)44.5%

Sample

1st row경기도 수원시 장안구 조원동 775번지
2nd row경기도 수원시 장안구 조원동 775번지
3rd row경기도 수원시 장안구 조원동 775번지
4th row경기도 수원시 장안구 조원동 775번지
5th row경기도 수원시 장안구 조원동 775번지
ValueCountFrequency (%)
경기도 245
20.1%
수원시 239
19.6%
권선구 78
 
6.4%
영통구 72
 
5.9%
장안구 52
 
4.3%
팔달구 37
 
3.0%
이의동 19
 
1.6%
화서동 18
 
1.5%
고색동 18
 
1.5%
권선동 17
 
1.4%
Other values (183) 424
34.8%
2023-12-12T09:11:12.347119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
974
19.0%
256
 
5.0%
245
 
4.8%
245
 
4.8%
245
 
4.8%
245
 
4.8%
245
 
4.8%
243
 
4.7%
242
 
4.7%
1 210
 
4.1%
Other values (65) 1966
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3110
60.8%
Space Separator 974
 
19.0%
Decimal Number 927
 
18.1%
Dash Punctuation 105
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
256
 
8.2%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
243
 
7.8%
242
 
7.8%
102
 
3.3%
99
 
3.2%
Other values (53) 943
30.3%
Decimal Number
ValueCountFrequency (%)
1 210
22.7%
2 106
11.4%
9 93
10.0%
3 93
10.0%
5 84
 
9.1%
7 73
 
7.9%
6 71
 
7.7%
8 70
 
7.6%
4 67
 
7.2%
0 60
 
6.5%
Space Separator
ValueCountFrequency (%)
974
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3110
60.8%
Common 2006
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
256
 
8.2%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
243
 
7.8%
242
 
7.8%
102
 
3.3%
99
 
3.2%
Other values (53) 943
30.3%
Common
ValueCountFrequency (%)
974
48.6%
1 210
 
10.5%
2 106
 
5.3%
- 105
 
5.2%
9 93
 
4.6%
3 93
 
4.6%
5 84
 
4.2%
7 73
 
3.6%
6 71
 
3.5%
8 70
 
3.5%
Other values (2) 127
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3110
60.8%
ASCII 2006
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
974
48.6%
1 210
 
10.5%
2 106
 
5.3%
- 105
 
5.2%
9 93
 
4.6%
3 93
 
4.6%
5 84
 
4.2%
7 73
 
3.6%
6 71
 
3.5%
8 70
 
3.5%
Other values (2) 127
 
6.3%
Hangul
ValueCountFrequency (%)
256
 
8.2%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
245
 
7.9%
243
 
7.8%
242
 
7.8%
102
 
3.3%
99
 
3.2%
Other values (53) 943
30.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct143
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.273051
Minimum37.214515
Maximum37.314329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T09:11:12.584297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.214515
5-th percentile37.240005
Q137.257457
median37.27399
Q337.289898
95-th percentile37.305553
Maximum37.314329
Range0.09981422
Interquartile range (IQR)0.032441228

Descriptive statistics

Standard deviation0.022046135
Coefficient of variation (CV)0.00059147652
Kurtosis-0.40233325
Mean37.273051
Median Absolute Deviation (MAD)0.016470195
Skewness-0.34410138
Sum9169.1706
Variance0.00048603206
MonotonicityNot monotonic
2023-12-12T09:11:12.771311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3002178 9
 
3.7%
37.24774284 9
 
3.7%
37.26873154 8
 
3.3%
37.28431671 7
 
2.8%
37.27627703 7
 
2.8%
37.21451483 6
 
2.4%
37.30555265 5
 
2.0%
37.27362955 5
 
2.0%
37.25186117 5
 
2.0%
37.28081019 5
 
2.0%
Other values (133) 180
73.2%
ValueCountFrequency (%)
37.21451483 6
2.4%
37.23160588 1
 
0.4%
37.23574436 1
 
0.4%
37.23618085 2
 
0.8%
37.23732609 1
 
0.4%
37.23854617 1
 
0.4%
37.23979543 1
 
0.4%
37.24063372 3
1.2%
37.24105555 2
 
0.8%
37.24238032 1
 
0.4%
ValueCountFrequency (%)
37.31432905 1
 
0.4%
37.3125511 1
 
0.4%
37.31206941 1
 
0.4%
37.30959681 1
 
0.4%
37.30915318 1
 
0.4%
37.3067578 3
1.2%
37.30558137 1
 
0.4%
37.30555265 5
2.0%
37.30400615 3
1.2%
37.30362598 1
 
0.4%

경도
Real number (ℝ)

Distinct143
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01433
Minimum126.93326
Maximum127.0845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T09:11:12.958288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93326
5-th percentile126.95034
Q1126.98623
median127.01362
Q3127.04316
95-th percentile127.07046
Maximum127.0845
Range0.1512377
Interquartile range (IQR)0.05692375

Descriptive statistics

Standard deviation0.035778843
Coefficient of variation (CV)0.0002816914
Kurtosis-0.80292777
Mean127.01433
Median Absolute Deviation (MAD)0.02882465
Skewness-0.005116326
Sum31245.524
Variance0.0012801256
MonotonicityNot monotonic
2023-12-12T09:11:13.176067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0097112 9
 
3.7%
126.9728985 9
 
3.7%
127.0456915 8
 
3.3%
126.9862605 7
 
2.8%
126.9483014 7
 
2.8%
127.0211313 6
 
2.4%
127.0431568 5
 
2.0%
127.0349692 5
 
2.0%
127.0304797 5
 
2.0%
126.9799777 5
 
2.0%
Other values (133) 180
73.2%
ValueCountFrequency (%)
126.9332637 1
 
0.4%
126.9345367 1
 
0.4%
126.943043 1
 
0.4%
126.9433625 1
 
0.4%
126.9458409 1
 
0.4%
126.9483014 7
2.8%
126.9498446 1
 
0.4%
126.951815 1
 
0.4%
126.9698445 1
 
0.4%
126.9698998 3
1.2%
ValueCountFrequency (%)
127.0845014 3
1.2%
127.0842184 1
 
0.4%
127.0830468 1
 
0.4%
127.0813308 1
 
0.4%
127.0788601 1
 
0.4%
127.0785934 3
1.2%
127.0739316 1
 
0.4%
127.07312 1
 
0.4%
127.070497 1
 
0.4%
127.0703547 1
 
0.4%

관리기관
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
수원시 체육진흥과
81 
수원시 영통구 녹지공원과
35 
수원시 권선구 녹지공원과
31 
수원시 장안구 녹지공원과
24 
수원시 청소자원과
14 
Other values (11)
61 

Length

Max length16
Median length13
Mean length11.211382
Min length9

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row수원시 체육진흥과
2nd row수원시 체육진흥과
3rd row수원시 체육진흥과
4th row수원시 체육진흥과
5th row수원시 체육진흥과

Common Values

ValueCountFrequency (%)
수원시 체육진흥과 81
32.9%
수원시 영통구 녹지공원과 35
14.2%
수원시 권선구 녹지공원과 31
 
12.6%
수원시 장안구 녹지공원과 24
 
9.8%
수원시 청소자원과 14
 
5.7%
수원시 팔달구 녹지공원과 14
 
5.7%
수원시 권선구 행정지원과 10
 
4.1%
수원시 장안구 행정지원과 8
 
3.3%
수원시 팔달구 행정지원과 7
 
2.8%
수원시 하수관리과 6
 
2.4%
Other values (6) 16
 
6.5%

Length

2023-12-12T09:11:13.379385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 246
39.3%
녹지공원과 104
16.6%
체육진흥과 81
 
12.9%
권선구 41
 
6.5%
영통구 39
 
6.2%
장안구 32
 
5.1%
행정지원과 26
 
4.2%
팔달구 21
 
3.4%
청소자원과 14
 
2.2%
하수관리과 6
 
1.0%
Other values (6) 16
 
2.6%

운영주체
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
공원관리팀
104 
수원시체육회
60 
수원도시공사
27 
YMCA 수원시지부
 
9
수원시청소년재단
 
5
Other values (26)
41 

Length

Max length14
Median length13
Mean length6.0528455
Min length4

Unique

Unique19 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
공원관리팀 104
42.3%
수원시체육회 60
24.4%
수원도시공사 27
 
11.0%
YMCA 수원시지부 9
 
3.7%
수원시청소년재단 5
 
2.0%
YWCA 수원시지부 4
 
1.6%
주민자치팀 4
 
1.6%
영통1동 3
 
1.2%
맑은물생산과 3
 
1.2%
권선구 행정지원과 3
 
1.2%
Other values (21) 24
 
9.8%

Length

2023-12-12T09:11:13.559665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공원관리팀 104
38.5%
수원시체육회 60
22.2%
수원도시공사 27
 
10.0%
수원시지부 13
 
4.8%
ymca 9
 
3.3%
게이트볼연합회 6
 
2.2%
수원시청소년재단 5
 
1.9%
ywca 4
 
1.5%
주민자치팀 4
 
1.5%
행정지원과 3
 
1.1%
Other values (26) 35
 
13.0%

연락처
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
031-290-6032
59 
031-228-8973
35 
031-228-6193
31 
031-228-5986
24 
031-228-7042
14 
Other values (21)
83 

Length

Max length12
Median length12
Mean length11.987805
Min length9

Unique

Unique8 ?
Unique (%)3.3%

Sample

1st row031-240-2706
2nd row031-240-2706
3rd row031-240-2706
4th row031-240-2706
5th row031-240-2706

Common Values

ValueCountFrequency (%)
031-290-6032 59
24.0%
031-228-8973 35
14.2%
031-228-6193 31
12.6%
031-228-5986 24
9.8%
031-228-7042 14
 
5.7%
000-000-0000 12
 
4.9%
031-293-6003 9
 
3.7%
031-273-3030 9
 
3.7%
031-228-7412 7
 
2.8%
031-240-2706 7
 
2.8%
Other values (16) 39
15.9%

Length

2023-12-12T09:11:13.720534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-290-6032 59
24.0%
031-228-8973 35
14.2%
031-228-6193 31
12.6%
031-228-5986 24
9.8%
031-228-7042 14
 
5.7%
000-000-0000 12
 
4.9%
031-293-6003 9
 
3.7%
031-273-3030 9
 
3.7%
031-228-7412 7
 
2.8%
031-240-2706 7
 
2.8%
Other values (16) 39
15.9%

사용료
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
무료
166 
유료
79 
전용
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
무료 166
67.5%
유료 79
32.1%
전용 1
 
0.4%

Length

2023-12-12T09:11:13.855844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:11:13.956900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 166
67.5%
유료 79
32.1%
전용 1
 
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-04-12
246 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-12
2nd row2023-04-12
3rd row2023-04-12
4th row2023-04-12
5th row2023-04-12

Common Values

ValueCountFrequency (%)
2023-04-12 246
100.0%

Length

2023-12-12T09:11:14.069161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:11:14.177684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-12 246
100.0%

Interactions

2023-12-12T09:11:08.961832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:08.716356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:09.088414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:11:08.826488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:11:14.253903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목소재지도로명주소위도경도관리기관운영주체연락처사용료
종목1.0000.0000.0000.0000.5310.0000.6840.984
소재지도로명주소0.0001.0001.0001.0000.9880.9900.9910.951
위도0.0001.0001.0000.6720.8040.8170.8650.022
경도0.0001.0000.6721.0000.7180.7690.8360.039
관리기관0.5310.9880.8040.7181.0000.9760.9950.643
운영주체0.0000.9900.8170.7690.9761.0000.9800.669
연락처0.6840.9910.8650.8360.9950.9801.0000.671
사용료0.9840.9510.0220.0390.6430.6690.6711.000
2023-12-12T09:11:14.418645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관운영주체종목사용료연락처
관리기관1.0000.7590.1620.4360.931
운영주체0.7591.0000.0000.4160.734
종목0.1620.0001.0000.8550.202
사용료0.4360.4160.8551.0000.429
연락처0.9310.7340.2020.4291.000
2023-12-12T09:11:14.537226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종목관리기관운영주체연락처사용료
위도1.000-0.2350.0000.4720.4340.5220.004
경도-0.2351.0000.0000.3750.3780.4760.019
종목0.0000.0001.0000.1620.0000.2020.855
관리기관0.4720.3750.1621.0000.7590.9310.436
운영주체0.4340.3780.0000.7591.0000.7340.416
연락처0.5220.4760.2020.9310.7341.0000.429
사용료0.0040.0190.8550.4360.4160.4291.000

Missing values

2023-12-12T09:11:09.263924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:11:09.473982image/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.
2023-12-12T09:11:09.587676image/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

시설명종목소재지도로명주소소재지지번주소위도경도관리기관운영주체연락처사용료데이터기준일자
0수원종합운동장 주경기장축구+육상+기타경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706유료2023-04-12
1수원종합운동장 수원체육관배구+농구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706유료2023-04-12
2수원종합운동장 국민체육센터(1층)배드민턴경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706유료2023-04-12
3수원종합운동장 국민체육센터(2층)탁구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706유료2023-04-12
4수원종합운동장 보조구장축구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706유료2023-04-12
5수원종합운동장 야외 농구장농구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706무료2023-04-12
6수원종합운동장 야외 족구장족구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과수원도시공사031-240-2706무료2023-04-12
7수원케이티위즈파크야구경기도 수원시 장안구 경수대로 893경기도 수원시 장안구 조원동 775번지37.300218127.009711수원시 체육진흥과(주)KT스포츠1899-5916유료2023-04-12
8서수원칠보체육관 GXGX경기도 수원시 권선구 서수원로577번길 171경기도 수원시 권선구 금곡동 1071번지37.276277126.948301수원시 체육진흥과수원도시공사031-259-5415유료2023-04-12
9서수원칠보체육관 탁구장탁구경기도 수원시 권선구 서수원로577번길 171경기도 수원시 권선구 금곡동 1071번지37.276277126.948301수원시 체육진흥과수원도시공사031-259-5415유료2023-04-12
시설명종목소재지도로명주소소재지지번주소위도경도관리기관운영주체연락처사용료데이터기준일자
236달님어린이공원 농구장농구<NA>경기도 수원시 영통구 영통1동 1052-437.262791127.084218수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
237푸른어린이공원 농구장농구경기도 수원시 영통구 영통로 438경기도 수원시 영통구 영통1동 957-137.259038127.073932수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
238풀잎어린이공원 농구장농구경기도 수원시 영통구 봉영로 1526경기도 수원시 영통구 영통2동 988-337.248522127.069638수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
239보리수어린이공원 다목적구장다목적경기도 수원시 영통구 봉영로1517번길 27경기도 수원시 영통구 영통2동 970-237.248143127.06716수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
240솔찬어린이공원 다목적구장다목적<NA>경기도 수원시 영통구 영통2동 964-337.252883127.064775수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
241한울어린이공원 농구장농구<NA>경기도 수원시 영통구 영통2동 972-437.249155127.060805수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
242한울어린이공원 게이트볼장게이트볼<NA>경기도 수원시 영통구 영통2동 972-437.249155127.060805수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
243방죽어린이공원 족구장족구<NA>경기도 수원시 영통구 망포동 383-337.239795127.055275수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
244한국아파트공원 배드민턴장배드민턴<NA>경기도 수원시 영통구 매탄동 1217-437.266989127.053389수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12
245신동수변공원 족구장족구경기도 수원시 영통구 덕영대로1373번길 66경기도 수원시 영통구 신동 94237.247411127.040464수원시 영통구 녹지공원과공원관리팀031-228-8973무료2023-04-12