Overview

Dataset statistics

Number of variables10
Number of observations283
Missing cells170
Missing cells (%)6.0%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory23.1 KiB
Average record size in memory83.5 B

Variable types

Categorical4
Text2
Numeric3
DateTime1

Dataset

Description경기도화성시에위치한 공원내실외체육시설 현황입니다. 시설및공원명, 체육시설위치,시설면적,관리부서를 알 수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15070879/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates
관리기관 is highly overall correlated with 관리자연락처 and 1 other fieldsHigh correlation
시설명 is highly overall correlated with 비고High correlation
관리자연락처 is highly overall correlated with 관리기관 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 면수 and 5 other fieldsHigh correlation
면수 is highly overall correlated with 비고High correlation
시설면적 is highly overall correlated with 총 면적 and 1 other fieldsHigh correlation
총 면적 is highly overall correlated with 시설면적 and 1 other fieldsHigh correlation
시설면적 has 3 (1.1%) missing valuesMissing
총 면적 has 159 (56.2%) missing valuesMissing

Reproduction

Analysis started2024-03-14 18:11:44.656711
Analysis finished2024-03-14 18:11:48.346580
Duration3.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
농구장
49 
배드민턴장
39 
축구장
33 
족구장
32 
게이트볼장
28 
Other values (24)
102 

Length

Max length13
Median length9
Mean length4.1201413
Min length3

Unique

Unique11 ?
Unique (%)3.9%

Sample

1st row족구장
2nd row축구장
3rd row농구장
4th row게이트볼장
5th row인라인스케이트장

Common Values

ValueCountFrequency (%)
농구장 49
17.3%
배드민턴장 39
13.8%
축구장 33
11.7%
족구장 32
11.3%
게이트볼장 28
9.9%
풋살구장 23
8.1%
테니스장 15
 
5.3%
실내체육관 11
 
3.9%
인라인스케이트장 10
 
3.5%
육상트랙 7
 
2.5%
Other values (19) 36
12.7%

Length

2024-03-15T03:11:48.564343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농구장 49
17.3%
배드민턴장 39
13.7%
축구장 33
11.6%
족구장 32
11.3%
게이트볼장 28
9.9%
풋살구장 23
8.1%
테니스장 15
 
5.3%
실내체육관 11
 
3.9%
인라인스케이트장 10
 
3.5%
육상트랙 7
 
2.5%
Other values (20) 37
13.0%

공원명
Text

Distinct136
Distinct (%)48.4%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2024-03-15T03:11:49.440537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length9.252669
Min length4

Characters and Unicode

Total characters2600
Distinct characters216
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)26.3%

Sample

1st row다람산공원
2nd row다람산공원
3rd row다람산공원
4th row다람산공원
5th row다람산공원
ValueCountFrequency (%)
체육공원 23
 
4.9%
동탄2 20
 
4.3%
근린공원 19
 
4.1%
비봉인조잔디구장 11
 
2.3%
체육시설 11
 
2.3%
남양 11
 
2.3%
동탄센트럴파크 9
 
1.9%
동탄 9
 
1.9%
동탄2지구 8
 
1.7%
도원체육공원 8
 
1.7%
Other values (162) 340
72.5%
2024-03-15T03:11:50.741557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 223
 
8.6%
공 219
 
8.4%
192
 
7.4%
육 92
 
3.5%
체 92
 
3.5%
동 85
 
3.3%
2 73
 
2.8%
호 61
 
2.3%
탄 59
 
2.3%
린 56
 
2.2%
Other values (206) 1448
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2183
84.0%
Space Separator 192
 
7.4%
Decimal Number 148
 
5.7%
Open Punctuation 35
 
1.3%
Close Punctuation 35
 
1.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 223
 
10.2%
공 219
 
10.0%
육 92
 
4.2%
체 92
 
4.2%
동 85
 
3.9%
호 61
 
2.8%
탄 59
 
2.7%
린 56
 
2.6%
산 51
 
2.3%
근 46
 
2.1%
Other values (192) 1199
54.9%
Decimal Number
ValueCountFrequency (%)
2 73
49.3%
1 37
25.0%
3 16
 
10.8%
4 15
 
10.1%
0 2
 
1.4%
5 2
 
1.4%
9 2
 
1.4%
8 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2183
84.0%
Common 417
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 223
 
10.2%
공 219
 
10.0%
육 92
 
4.2%
체 92
 
4.2%
동 85
 
3.9%
호 61
 
2.8%
탄 59
 
2.7%
린 56
 
2.6%
산 51
 
2.3%
근 46
 
2.1%
Other values (192) 1199
54.9%
Common
ValueCountFrequency (%)
192
46.0%
2 73
 
17.5%
1 37
 
8.9%
( 35
 
8.4%
) 35
 
8.4%
3 16
 
3.8%
4 15
 
3.6%
, 4
 
1.0%
0 2
 
0.5%
5 2
 
0.5%
Other values (4) 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2183
84.0%
ASCII 417
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 223
 
10.2%
공 219
 
10.0%
육 92
 
4.2%
체 92
 
4.2%
동 85
 
3.9%
호 61
 
2.8%
탄 59
 
2.7%
린 56
 
2.6%
산 51
 
2.3%
근 46
 
2.1%
Other values (192) 1199
54.9%
ASCII
ValueCountFrequency (%)
192
46.0%
2 73
 
17.5%
1 37
 
8.9%
( 35
 
8.4%
) 35
 
8.4%
3 16
 
3.8%
4 15
 
3.6%
, 4
 
1.0%
0 2
 
0.5%
5 2
 
0.5%
Other values (4) 6
 
1.4%

위치
Text

Distinct138
Distinct (%)49.1%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2024-03-15T03:11:51.726382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.6761566
Min length5

Characters and Unicode

Total characters2719
Distinct characters115
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)27.0%

Sample

1st row진안동 588
2nd row진안동 588
3rd row진안동 588
4th row진안동 588
5th row진안동 588
ValueCountFrequency (%)
향남읍 33
 
4.8%
반송동 20
 
2.9%
행정리 16
 
2.3%
봉담읍 16
 
2.3%
장안면 14
 
2.1%
비봉면 12
 
1.8%
반월동 12
 
1.8%
남양리 12
 
1.8%
산척동 12
 
1.8%
진안동 12
 
1.8%
Other values (196) 523
76.7%
2024-03-15T03:11:52.899199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
15.6%
동 153
 
5.6%
1 150
 
5.5%
리 131
 
4.8%
2 126
 
4.6%
5 105
 
3.9%
- 100
 
3.7%
7 90
 
3.3%
8 85
 
3.1%
4 85
 
3.1%
Other values (105) 1270
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1295
47.6%
Decimal Number 883
32.5%
Space Separator 424
 
15.6%
Dash Punctuation 100
 
3.7%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 153
 
11.8%
리 131
 
10.1%
면 65
 
5.0%
읍 64
 
4.9%
남 58
 
4.5%
산 54
 
4.2%
송 50
 
3.9%
안 36
 
2.8%
향 33
 
2.5%
반 32
 
2.5%
Other values (90) 619
47.8%
Decimal Number
ValueCountFrequency (%)
1 150
17.0%
2 126
14.3%
5 105
11.9%
7 90
10.2%
8 85
9.6%
4 85
9.6%
6 75
8.5%
3 73
8.3%
0 50
 
5.7%
9 44
 
5.0%
Space Separator
ValueCountFrequency (%)
424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1424
52.4%
Hangul 1295
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 153
 
11.8%
리 131
 
10.1%
면 65
 
5.0%
읍 64
 
4.9%
남 58
 
4.5%
산 54
 
4.2%
송 50
 
3.9%
안 36
 
2.8%
향 33
 
2.5%
반 32
 
2.5%
Other values (90) 619
47.8%
Common
ValueCountFrequency (%)
424
29.8%
1 150
 
10.5%
2 126
 
8.8%
5 105
 
7.4%
- 100
 
7.0%
7 90
 
6.3%
8 85
 
6.0%
4 85
 
6.0%
6 75
 
5.3%
3 73
 
5.1%
Other values (5) 111
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1424
52.4%
Hangul 1295
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
29.8%
1 150
 
10.5%
2 126
 
8.8%
5 105
 
7.4%
- 100
 
7.0%
7 90
 
6.3%
8 85
 
6.0%
4 85
 
6.0%
6 75
 
5.3%
3 73
 
5.1%
Other values (5) 111
 
7.8%
Hangul
ValueCountFrequency (%)
동 153
 
11.8%
리 131
 
10.1%
면 65
 
5.0%
읍 64
 
4.9%
남 58
 
4.5%
산 54
 
4.2%
송 50
 
3.9%
안 36
 
2.8%
향 33
 
2.5%
반 32
 
2.5%
Other values (90) 619
47.8%

면수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)3.2%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1.5409253
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-15T03:11:53.092628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum18
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5350423
Coefficient of variation (CV)0.99618218
Kurtosis52.826836
Mean1.5409253
Median Absolute Deviation (MAD)0
Skewness6.1485373
Sum433
Variance2.3563549
MonotonicityNot monotonic
2024-03-15T03:11:53.287051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 211
74.6%
2 41
 
14.5%
3 11
 
3.9%
4 11
 
3.9%
6 3
 
1.1%
8 1
 
0.4%
10 1
 
0.4%
18 1
 
0.4%
9 1
 
0.4%
(Missing) 2
 
0.7%
ValueCountFrequency (%)
1 211
74.6%
2 41
 
14.5%
3 11
 
3.9%
4 11
 
3.9%
6 3
 
1.1%
8 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
18 1
 
0.4%
ValueCountFrequency (%)
18 1
 
0.4%
10 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
6 3
 
1.1%
4 11
 
3.9%
3 11
 
3.9%
2 41
 
14.5%
1 211
74.6%

시설면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct207
Distinct (%)73.9%
Missing3
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1952.9321
Minimum78
Maximum21045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-15T03:11:53.713192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile149.5
Q1373
median657
Q31543.5
95-th percentile8226.95
Maximum21045
Range20967
Interquartile range (IQR)1170.5

Descriptive statistics

Standard deviation3250.5769
Coefficient of variation (CV)1.6644598
Kurtosis10.131576
Mean1952.9321
Median Absolute Deviation (MAD)383
Skewness3.0262765
Sum546821
Variance10566250
MonotonicityNot monotonic
2024-03-15T03:11:54.139511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608 6
 
2.1%
300 5
 
1.8%
400 5
 
1.8%
260 5
 
1.8%
360 4
 
1.4%
500 4
 
1.4%
450 4
 
1.4%
78 3
 
1.1%
800 3
 
1.1%
550 3
 
1.1%
Other values (197) 238
84.1%
ValueCountFrequency (%)
78 3
1.1%
80 1
 
0.4%
82 1
 
0.4%
89 1
 
0.4%
105 2
0.7%
112 1
 
0.4%
120 1
 
0.4%
137 1
 
0.4%
140 3
1.1%
150 1
 
0.4%
ValueCountFrequency (%)
21045 1
0.4%
17712 1
0.4%
16000 1
0.4%
15885 1
0.4%
15000 1
0.4%
14350 1
0.4%
13041 1
0.4%
12510 2
0.7%
12153 1
0.4%
10878 1
0.4%

총 면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct114
Distinct (%)91.9%
Missing159
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean4109.6855
Minimum0
Maximum83668
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-03-15T03:11:54.523432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile160
Q1359.75
median967.5
Q34400
95-th percentile15947.9
Maximum83668
Range83668
Interquartile range (IQR)4040.25

Descriptive statistics

Standard deviation9027.0986
Coefficient of variation (CV)2.1965425
Kurtosis49.576382
Mean4109.6855
Median Absolute Deviation (MAD)732.5
Skewness6.1284868
Sum509601
Variance81488510
MonotonicityNot monotonic
2024-03-15T03:11:54.772228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260 4
 
1.4%
160 3
 
1.1%
300 2
 
0.7%
4400 2
 
0.7%
370 2
 
0.7%
180 2
 
0.7%
810 2
 
0.7%
18180 1
 
0.4%
1800 1
 
0.4%
15959 1
 
0.4%
Other values (104) 104
36.7%
(Missing) 159
56.2%
ValueCountFrequency (%)
0 1
 
0.4%
82 1
 
0.4%
140 1
 
0.4%
150 1
 
0.4%
156 1
 
0.4%
160 3
1.1%
162 1
 
0.4%
180 2
0.7%
190 1
 
0.4%
210 1
 
0.4%
ValueCountFrequency (%)
83668 1
0.4%
28985 1
0.4%
24060 1
0.4%
23440 1
0.4%
21599 1
0.4%
18180 1
0.4%
15959 1
0.4%
15885 1
0.4%
14912 1
0.4%
12198 1
0.4%

관리기관
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
화성도시공사 체육시설1부
151 
화성도시공사 체육시설2부
130 
<NA>
 
2

Length

Max length13
Median length13
Mean length12.936396
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성도시공사 체육시설1부
2nd row화성도시공사 체육시설1부
3rd row화성도시공사 체육시설1부
4th row화성도시공사 체육시설1부
5th row화성도시공사 체육시설1부

Common Values

ValueCountFrequency (%)
화성도시공사 체육시설1부 151
53.4%
화성도시공사 체육시설2부 130
45.9%
<NA> 2
 
0.7%

Length

2024-03-15T03:11:55.026768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:11:55.338937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성도시공사 281
49.8%
체육시설1부 151
26.8%
체육시설2부 130
23.0%
na 2
 
0.4%

관리자연락처
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
031-355-1292
147 
031-8059-3274
134 
<NA>
 
2

Length

Max length13
Median length12
Mean length12.416961
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-355-1292
2nd row031-355-1292
3rd row031-355-1292
4th row031-355-1292
5th row031-355-1292

Common Values

ValueCountFrequency (%)
031-355-1292 147
51.9%
031-8059-3274 134
47.3%
<NA> 2
 
0.7%

Length

2024-03-15T03:11:55.688720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:11:56.029619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-355-1292 147
51.9%
031-8059-3274 134
47.3%
na 2
 
0.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T03:11:56.315415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:56.614562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
위 공원 체육시설 총 면적에 포함
149 
<NA>
134 

Length

Max length18
Median length18
Mean length11.371025
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row위 공원 체육시설 총 면적에 포함
3rd row위 공원 체육시설 총 면적에 포함
4th row위 공원 체육시설 총 면적에 포함
5th row위 공원 체육시설 총 면적에 포함

Common Values

ValueCountFrequency (%)
위 공원 체육시설 총 면적에 포함 149
52.7%
<NA> 134
47.3%

Length

2024-03-15T03:11:57.052719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:11:57.306814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위 149
14.5%
공원 149
14.5%
체육시설 149
14.5%
총 149
14.5%
면적에 149
14.5%
포함 149
14.5%
na 134
13.0%

Interactions

2024-03-15T03:11:46.514534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:45.390028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:46.038212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:46.748451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:45.648804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:46.190368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:47.102424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:45.857966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:11:46.321345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:11:57.481821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명면수시설면적총 면적관리기관관리자연락처
시설명1.0000.6870.8200.4030.2050.236
면수0.6871.0000.6900.0000.0740.113
시설면적0.8200.6901.0000.7280.1350.117
총 면적0.4030.0000.7281.0000.1840.184
관리기관0.2050.0740.1350.1841.0000.998
관리자연락처0.2360.1130.1170.1840.9981.000
2024-03-15T03:11:57.763048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관시설명관리자연락처비고
관리기관1.0000.1540.9651.000
시설명0.1541.0000.1781.000
관리자연락처0.9650.1781.0001.000
비고1.0001.0001.0001.000
2024-03-15T03:11:58.072170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면수시설면적총 면적시설명관리기관관리자연락처비고
면수1.0000.120-0.0260.3740.0520.0801.000
시설면적0.1201.0000.9260.4500.1010.0881.000
총 면적-0.0260.9261.0000.2130.2220.2221.000
시설명0.3740.4500.2131.0000.1540.1781.000
관리기관0.0520.1010.2220.1541.0000.9651.000
관리자연락처0.0800.0880.2220.1780.9651.0001.000
비고1.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T03:11:47.531799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:11:47.804482image/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.
2024-03-15T03:11:48.058982image/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

시설명공원명위치면수시설면적총 면적관리기관관리자연락처데이터기준일자비고
0족구장다람산공원진안동 588310085568화성도시공사 체육시설1부031-355-12922023-12-31<NA>
1축구장다람산공원진안동 58812940<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
2농구장다람산공원진안동 5881360<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
3게이트볼장다람산공원진안동 5881300<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
4인라인스케이트장다람산공원진안동 5881960<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
5농구장구봉산근린공원병점동 산2113601904화성도시공사 체육시설1부031-355-12922023-12-31<NA>
6배드민턴장구봉산근린공원병점동 산2131044<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
7게이트볼장구봉산근린공원병점동 산211500<NA>화성도시공사 체육시설1부031-355-12922023-12-31위 공원 체육시설 총 면적에 포함
8배드민턴장병점근린공원(4호)병점동 8232260260화성도시공사 체육시설1부031-355-12922023-12-31<NA>
9배드민턴장구문천근린공원향남읍 구문천리 산242260260화성도시공사 체육시설2부031-8059-32742023-12-31<NA>
시설명공원명위치면수시설면적총 면적관리기관관리자연락처데이터기준일자비고
273인라인장반월나노시티파크반월동 564-61475<NA>화성도시공사 체육시설1부031-8059-32742023-12-31위 공원 체육시설 총 면적에 포함
274테니스장여울공원오산동 1060-032140<NA>화성도시공사 체육시설1부031-8059-32742023-12-31위 공원 체육시설 총 면적에 포함
275족구장남양1호 근린 공원남양리 20382992<NA>화성도시공사 체육시설2부031-8059-32742023-12-31<NA>
276실내체육관동탄2동 다목적체육관경기도 화성시 반송동 566-7 일원1999<NA>화성도시공사 체육시설1부031-8059-32742023-12-31<NA>
277실내체육관향남다목적체육관향남읍 행정리 47811085<NA>화성도시공사 체육시설2부031-8059-32742023-12-31<NA>
278실내체육관매송다목적체육관매송면 어천리 380-111105<NA>화성도시공사 체육시설2부031-8059-32742023-12-31<NA>
279실내체육관진안다목적체육관진안동 1411998<NA>화성도시공사 체육시설1부031-355-12922023-12-31<NA>
280실내체육관화성시 실내배드민턴장오산동 1041-114668<NA>화성도시공사 체육시설1부031-355-12922023-12-31<NA>
281<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시설명공원명위치면수시설면적총 면적관리기관관리자연락처데이터기준일자비고# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2