Overview

Dataset statistics

Number of variables10
Number of observations663
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.9 KiB
Average record size in memory83.2 B

Variable types

Numeric3
Categorical4
Text2
DateTime1

Dataset

Description경기도 화성시에 위치한 권역별 공원 종류에 따른 공원 운영 현황을 제공하며 운영중인 관리기관 및 연락처를 확인할수 있습니다.
Author화성도시공사
URLhttps://www.data.go.kr/data/15070869/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리기관 is highly overall correlated with 개소 and 2 other fieldsHigh correlation
권역 is highly overall correlated with 개소 and 2 other fieldsHigh correlation
관리자 연락처 is highly overall correlated with 개소 and 2 other fieldsHigh correlation
개소 is highly overall correlated with 권역 and 2 other fieldsHigh correlation
개소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:03:25.431798
Analysis finished2024-03-14 20:03:29.628698
Duration4.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개소
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct663
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332
Minimum1
Maximum663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-15T05:03:29.822825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.1
Q1166.5
median332
Q3497.5
95-th percentile629.9
Maximum663
Range662
Interquartile range (IQR)331

Descriptive statistics

Standard deviation191.5359
Coefficient of variation (CV)0.57691535
Kurtosis-1.2
Mean332
Median Absolute Deviation (MAD)166
Skewness0
Sum220116
Variance36686
MonotonicityStrictly increasing
2024-03-15T05:03:30.284576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
437 1
 
0.2%
439 1
 
0.2%
440 1
 
0.2%
441 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
Other values (653) 653
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%
656 1
0.2%
655 1
0.2%
654 1
0.2%

공원종류
Categorical

Distinct14
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
공공공지
201 
어린이
136 
근린
112 
광장
64 
쌈지
52 
Other values (9)
98 

Length

Max length5
Median length4
Mean length2.9622926
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
공공공지 201
30.3%
어린이 136
20.5%
근린 112
16.9%
광장 64
 
9.7%
쌈지 52
 
7.8%
소공원 50
 
7.5%
문화공원 16
 
2.4%
체육 10
 
1.5%
수변 9
 
1.4%
저류지 5
 
0.8%
Other values (4) 8
 
1.2%

Length

2024-03-15T05:03:30.762115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공공지 201
30.3%
어린이 136
20.5%
근린 112
16.9%
광장 64
 
9.7%
쌈지 52
 
7.8%
소공원 50
 
7.5%
문화공원 16
 
2.4%
체육 10
 
1.5%
수변 9
 
1.4%
저류지 5
 
0.8%
Other values (4) 8
 
1.2%

권역
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
서부
110 
중부
87 
동부
81 
동탄4
56 
동탄1
55 
Other values (8)
274 

Length

Max length3
Median length3
Mean length2.5022624
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row센트럴
2nd row동탄1
3rd row동탄1
4th row동탄1
5th row동탄1

Common Values

ValueCountFrequency (%)
서부 110
16.6%
중부 87
13.1%
동부 81
12.2%
동탄4 56
8.4%
동탄1 55
8.3%
동탄6 54
8.1%
동탄3 52
7.8%
남부 52
7.8%
동탄5 45
6.8%
향남2 35
 
5.3%
Other values (3) 36
 
5.4%

Length

2024-03-15T05:03:31.194452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서부 110
16.6%
중부 87
13.1%
동부 81
12.2%
동탄4 56
8.4%
동탄1 55
8.3%
동탄6 54
8.1%
남부 53
8.0%
동탄3 52
7.8%
동탄5 45
6.8%
향남2 35
 
5.3%
Other values (2) 35
 
5.3%

공원명
Text

Distinct625
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T05:03:32.714859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length11.413273
Min length4

Characters and Unicode

Total characters7567
Distinct characters300
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)90.5%

Sample

1st row동탄센트럴파크(5호근린,나래울전통,코끼리)
2nd row독재울공원
3rd row개나리공원
4th row하늘빛공원
5th row동탄 구봉산공원(나래울, 코끼리)
ValueCountFrequency (%)
공공공지 187
 
12.9%
어린이공원 89
 
6.1%
동탄2지구 71
 
4.9%
동탄2시범단지 54
 
3.7%
미관광장 44
 
3.0%
근린공원 42
 
2.9%
향남2지구 32
 
2.2%
쌈지공원 26
 
1.8%
1호 23
 
1.6%
2호 20
 
1.4%
Other values (584) 863
59.5%
2024-03-15T05:03:34.043927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 1050
 
13.9%
967
 
12.8%
지 457
 
6.0%
원 449
 
5.9%
호 438
 
5.8%
2 275
 
3.6%
린 223
 
2.9%
동 194
 
2.6%
1 170
 
2.2%
탄 153
 
2.0%
Other values (290) 3191
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5411
71.5%
Space Separator 967
 
12.8%
Decimal Number 856
 
11.3%
Open Punctuation 149
 
2.0%
Close Punctuation 149
 
2.0%
Uppercase Letter 17
 
0.2%
Dash Punctuation 12
 
0.2%
Other Punctuation 4
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 1050
19.4%
지 457
 
8.4%
원 449
 
8.3%
호 438
 
8.1%
린 223
 
4.1%
동 194
 
3.6%
탄 153
 
2.8%
이 150
 
2.8%
구 145
 
2.7%
어 140
 
2.6%
Other values (261) 2012
37.2%
Uppercase Letter
ValueCountFrequency (%)
A 4
23.5%
B 3
17.6%
C 2
11.8%
M 1
 
5.9%
L 1
 
5.9%
K 1
 
5.9%
H 1
 
5.9%
I 1
 
5.9%
E 1
 
5.9%
J 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 275
32.1%
1 170
19.9%
3 109
 
12.7%
4 80
 
9.3%
5 58
 
6.8%
7 48
 
5.6%
6 39
 
4.6%
8 31
 
3.6%
9 28
 
3.3%
0 18
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
967
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5411
71.5%
Common 2137
 
28.2%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 1050
19.4%
지 457
 
8.4%
원 449
 
8.3%
호 438
 
8.1%
린 223
 
4.1%
동 194
 
3.6%
탄 153
 
2.8%
이 150
 
2.8%
구 145
 
2.7%
어 140
 
2.6%
Other values (261) 2012
37.2%
Common
ValueCountFrequency (%)
967
45.3%
2 275
 
12.9%
1 170
 
8.0%
( 149
 
7.0%
) 149
 
7.0%
3 109
 
5.1%
4 80
 
3.7%
5 58
 
2.7%
7 48
 
2.2%
6 39
 
1.8%
Other values (6) 93
 
4.4%
Latin
ValueCountFrequency (%)
A 4
21.1%
B 3
15.8%
C 2
10.5%
M 1
 
5.3%
L 1
 
5.3%
K 1
 
5.3%
H 1
 
5.3%
I 1
 
5.3%
E 1
 
5.3%
J 1
 
5.3%
Other values (3) 3
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5411
71.5%
ASCII 2156
 
28.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 1050
19.4%
지 457
 
8.4%
원 449
 
8.3%
호 438
 
8.1%
린 223
 
4.1%
동 194
 
3.6%
탄 153
 
2.8%
이 150
 
2.8%
구 145
 
2.7%
어 140
 
2.6%
Other values (261) 2012
37.2%
ASCII
ValueCountFrequency (%)
967
44.9%
2 275
 
12.8%
1 170
 
7.9%
( 149
 
6.9%
) 149
 
6.9%
3 109
 
5.1%
4 80
 
3.7%
5 58
 
2.7%
7 48
 
2.2%
6 39
 
1.8%
Other values (19) 112
 
5.2%

위치
Text

Distinct641
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-15T05:03:35.067744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length147
Median length70
Mean length13.879336
Min length6

Characters and Unicode

Total characters9202
Distinct characters133
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

Unique627 ?
Unique (%)94.6%

Sample

1st row 반송동 59,59-1, 97, 93-5, 92-4, 능동 1133, 1133-1
2nd row 능동 1084
3rd row 반송동 12, 28, 29
4th row 석우동 50, 57
5th row 능동 1128
ValueCountFrequency (%)
일원 75
 
4.2%
향남읍 61
 
3.4%
영천동 48
 
2.7%
반송동 43
 
2.4%
청계동 42
 
2.3%
봉담읍 38
 
2.1%
장지동 36
 
2.0%
남양리 36
 
2.0%
능동 29
 
1.6%
오산동 28
 
1.6%
Other values (888) 1359
75.7%
2024-03-15T05:03:36.515727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1507
16.4%
1 819
 
8.9%
- 682
 
7.4%
2 494
 
5.4%
동 470
 
5.1%
8 325
 
3.5%
, 325
 
3.5%
0 323
 
3.5%
5 322
 
3.5%
6 322
 
3.5%
Other values (123) 3613
39.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3824
41.6%
Other Letter 2848
30.9%
Space Separator 1507
 
16.4%
Dash Punctuation 682
 
7.4%
Other Punctuation 325
 
3.5%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 470
 
16.5%
리 230
 
8.1%
남 125
 
4.4%
읍 122
 
4.3%
원 117
 
4.1%
일 108
 
3.8%
송 91
 
3.2%
산 88
 
3.1%
지 74
 
2.6%
반 71
 
2.5%
Other values (108) 1352
47.5%
Decimal Number
ValueCountFrequency (%)
1 819
21.4%
2 494
12.9%
8 325
 
8.5%
0 323
 
8.4%
5 322
 
8.4%
6 322
 
8.4%
7 311
 
8.1%
3 307
 
8.0%
9 301
 
7.9%
4 300
 
7.8%
Space Separator
ValueCountFrequency (%)
1507
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 682
100.0%
Other Punctuation
ValueCountFrequency (%)
, 325
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6354
69.1%
Hangul 2848
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 470
 
16.5%
리 230
 
8.1%
남 125
 
4.4%
읍 122
 
4.3%
원 117
 
4.1%
일 108
 
3.8%
송 91
 
3.2%
산 88
 
3.1%
지 74
 
2.6%
반 71
 
2.5%
Other values (108) 1352
47.5%
Common
ValueCountFrequency (%)
1507
23.7%
1 819
12.9%
- 682
10.7%
2 494
 
7.8%
8 325
 
5.1%
, 325
 
5.1%
0 323
 
5.1%
5 322
 
5.1%
6 322
 
5.1%
7 311
 
4.9%
Other values (5) 924
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6354
69.1%
Hangul 2848
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1507
23.7%
1 819
12.9%
- 682
10.7%
2 494
 
7.8%
8 325
 
5.1%
, 325
 
5.1%
0 323
 
5.1%
5 322
 
5.1%
6 322
 
5.1%
7 311
 
4.9%
Other values (5) 924
14.5%
Hangul
ValueCountFrequency (%)
동 470
 
16.5%
리 230
 
8.1%
남 125
 
4.4%
읍 122
 
4.3%
원 117
 
4.1%
일 108
 
3.8%
송 91
 
3.2%
산 88
 
3.1%
지 74
 
2.6%
반 71
 
2.5%
Other values (108) 1352
47.5%

조성연도
Real number (ℝ)

Distinct23
Distinct (%)3.5%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2014.8399
Minimum1998
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-15T05:03:36.797618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile2004
Q12008
median2016
Q32019
95-th percentile2023
Maximum2023
Range25
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.9058456
Coefficient of variation (CV)0.0029311737
Kurtosis-0.80243555
Mean2014.8399
Median Absolute Deviation (MAD)4
Skewness-0.56015904
Sum1333824
Variance34.879012
MonotonicityNot monotonic
2024-03-15T05:03:37.004446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2019 131
19.8%
2008 92
13.9%
2015 79
11.9%
2016 50
 
7.5%
2021 47
 
7.1%
2023 45
 
6.8%
2020 30
 
4.5%
2004 25
 
3.8%
2009 24
 
3.6%
2018 23
 
3.5%
Other values (13) 116
17.5%
ValueCountFrequency (%)
1998 4
 
0.6%
2002 5
 
0.8%
2003 8
 
1.2%
2004 25
 
3.8%
2005 8
 
1.2%
2006 8
 
1.2%
2007 18
 
2.7%
2008 92
13.9%
2009 24
 
3.6%
2010 8
 
1.2%
ValueCountFrequency (%)
2023 45
 
6.8%
2022 17
 
2.6%
2021 47
 
7.1%
2020 30
 
4.5%
2019 131
19.8%
2018 23
 
3.5%
2017 13
 
2.0%
2016 50
 
7.5%
2015 79
11.9%
2014 12
 
1.8%

조성면적
Real number (ℝ)

Distinct625
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13318.134
Minimum39
Maximum656736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-15T05:03:37.236528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile173.05
Q1684
median1950.1
Q36838.9
95-th percentile54626.571
Maximum656736
Range656697
Interquartile range (IQR)6154.9

Descriptive statistics

Standard deviation43614.574
Coefficient of variation (CV)3.2748262
Kurtosis90.010936
Mean13318.134
Median Absolute Deviation (MAD)1567.1
Skewness8.1508391
Sum8829922.8
Variance1.9022311 × 109
MonotonicityNot monotonic
2024-03-15T05:03:37.614854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 5
 
0.8%
586.0 3
 
0.5%
40521.0 3
 
0.5%
329.0 3
 
0.5%
2000.0 3
 
0.5%
1502.0 3
 
0.5%
802.0 2
 
0.3%
780.8 2
 
0.3%
405.0 2
 
0.3%
272.3 2
 
0.3%
Other values (615) 635
95.8%
ValueCountFrequency (%)
39.0 1
0.2%
40.0 1
0.2%
41.1 1
0.2%
44.0 1
0.2%
49.1 1
0.2%
64.2 1
0.2%
70.4 1
0.2%
75.0 1
0.2%
95.2 1
0.2%
95.81 1
0.2%
ValueCountFrequency (%)
656736.0 1
0.2%
373916.1 1
0.2%
333749.0 1
0.2%
281959.0 1
0.2%
267707.0 1
0.2%
251382.75 1
0.2%
243926.1 1
0.2%
231693.0 1
0.2%
213724.0 1
0.2%
186632.0 1
0.2%

관리기관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
화성도시공사 공원관리1부
378 
화성도시공사 공원관리2부
285 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성도시공사 공원관리1부
2nd row화성도시공사 공원관리1부
3rd row화성도시공사 공원관리1부
4th row화성도시공사 공원관리1부
5th row화성도시공사 공원관리1부

Common Values

ValueCountFrequency (%)
화성도시공사 공원관리1부 378
57.0%
화성도시공사 공원관리2부 285
43.0%

Length

2024-03-15T05:03:37.967307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:03:38.140045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성도시공사 663
50.0%
공원관리1부 378
28.5%
공원관리2부 285
21.5%

관리자 연락처
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
031-355-1286
378 
031-8059-6433
285 

Length

Max length13
Median length12
Mean length12.429864
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-355-1286
2nd row031-355-1286
3rd row031-355-1286
4th row031-355-1286
5th row031-355-1286

Common Values

ValueCountFrequency (%)
031-355-1286 378
57.0%
031-8059-6433 285
43.0%

Length

2024-03-15T05:03:38.332415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:03:38.653438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-355-1286 378
57.0%
031-8059-6433 285
43.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T05:03:38.800097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:39.041741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T05:03:27.934324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:26.519753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:27.309702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:28.217723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:26.781377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:27.537002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:28.503721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:27.036810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:03:27.773685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:03:39.181637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개소공원종류권역조성연도조성면적관리기관관리자 연락처
개소1.0000.5790.9420.6950.0000.9980.998
공원종류0.5791.0000.5640.5520.4000.5380.538
권역0.9420.5641.0000.7830.5391.0001.000
조성연도0.6950.5520.7831.0000.0000.4200.420
조성면적0.0000.4000.5390.0001.0000.0570.057
관리기관0.9980.5381.0000.4200.0571.0001.000
관리자 연락처0.9980.5381.0000.4200.0571.0001.000
2024-03-15T05:03:39.367985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관권역공원종류관리자 연락처
관리기관1.0000.9920.4190.997
권역0.9921.0000.2420.992
공원종류0.4190.2421.0000.419
관리자 연락처0.9970.9920.4191.000
2024-03-15T05:03:39.642583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개소조성연도조성면적공원종류권역관리기관관리자 연락처
개소1.0000.148-0.0530.2760.7830.9500.950
조성연도0.1481.000-0.0650.2560.4590.4240.424
조성면적-0.053-0.0651.0000.1580.2850.0610.061
공원종류0.2760.2560.1581.0000.2420.4190.419
권역0.7830.4590.2850.2421.0000.9920.992
관리기관0.9500.4240.0610.4190.9921.0000.997
관리자 연락처0.9500.4240.0610.4190.9920.9971.000

Missing values

2024-03-15T05:03:28.892360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:03:29.410619image/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

개소공원종류권역공원명위치조성연도조성면적관리기관관리자 연락처데이터기준일자
01근린센트럴동탄센트럴파크(5호근린,나래울전통,코끼리)반송동 59,59-1, 97, 93-5, 92-4, 능동 1133, 1133-12008373916.1화성도시공사 공원관리1부031-355-12862023-12-31
12근린동탄1독재울공원능동 1084200811841.2화성도시공사 공원관리1부031-355-12862023-12-31
23근린동탄1개나리공원반송동 12, 28, 29200814768.4화성도시공사 공원관리1부031-355-12862023-12-31
34근린동탄1하늘빛공원석우동 50, 57200810726.7화성도시공사 공원관리1부031-355-12862023-12-31
45근린동탄1동탄 구봉산공원(나래울, 코끼리)능동 1128200899329.3화성도시공사 공원관리1부031-355-12862023-12-31
56근린동탄1큰재봉공원석우동 452008243926.1화성도시공사 공원관리1부031-355-12862023-12-31
67근린동탄1동학산공원석우동 29-3200860075.3화성도시공사 공원관리1부031-355-12862023-12-31
78근린동탄1손바닥공원능동 1118200813590.2화성도시공사 공원관리1부031-355-12862023-12-31
89근린동탄1동탄13호 근린공원(초록공원)석우동 21-8200819678.8화성도시공사 공원관리1부031-355-12862023-12-31
910근린동탄1동탄14호 근린공원(돌모루공원)석우동 4, 7-1, 17200846916.9화성도시공사 공원관리1부031-355-12862023-12-31
개소공원종류권역공원명위치조성연도조성면적관리기관관리자 연락처데이터기준일자
653654광장향남2향남2지구 2호광장향남읍 상신리 1320-62016685.0화성도시공사 공원관리2부031-8059-64332023-12-31
654655공공공지향남2향남2지구 1호 공공공지향남읍 하길리 1529-12016369.0화성도시공사 공원관리2부031-8059-64332023-12-31
655656공공공지향남2향남2지구 2호 공공공지향남읍 하길리 15312016473.0화성도시공사 공원관리2부031-8059-64332023-12-31
656657공공공지향남2향남2지구 3호 공공공지향남읍 하길리 15442016395.0화성도시공사 공원관리2부031-8059-64332023-12-31
657658공공공지향남2향남2지구 4호 공공공지향남읍 하길리 1539-22016373.0화성도시공사 공원관리2부031-8059-64332023-12-31
658659공공공지향남2향남2지구 5호 공공공지향남읍 하길리 1537-82016373.0화성도시공사 공원관리2부031-8059-64332023-12-31
659660공공공지향남2향남2지구 6호 공공공지향남읍 하길리 15512016405.0화성도시공사 공원관리2부031-8059-64332023-12-31
660661공공공지향남2향남2지구 7호 공공공지향남읍 하길리 1547-232016700.0화성도시공사 공원관리2부031-8059-64332023-12-31
661662공공공지향남2향남2지구 2-1호 공공용지향남읍 하길리 1444-2,420163125.0화성도시공사 공원관리2부031-8059-64332023-12-31
662663공공공지향남2향남2지구 2-1호 공공용지향남읍 하길리 1444-2,420163125.0화성도시공사 공원관리2부031-8059-64332023-12-31