Overview

Dataset statistics

Number of variables11
Number of observations137
Missing cells137
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory94.0 B

Variable types

Numeric4
Text2
Categorical3
Unsupported1
DateTime1

Dataset

Description서울특별시 서초구 도시공원에 대한 데이터로 공원명, 공원면적, 경도 및 위도, 관리주체, 관리주체 전화번호 등 정보를 제공합니다.
Author서울특별시 서초구
URLhttps://www.data.go.kr/data/15076613/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 공원구분High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
공원면적 is highly overall correlated with 전화번호High correlation
공원구분 is highly overall correlated with 연번High correlation
전화번호 is highly overall correlated with 공원면적High correlation
소재지도로명주소 has 137 (100.0%) missing valuesMissing
연번 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:55:30.640910
Analysis finished2023-12-12 12:55:33.048984
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:55:33.131375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.8
Q135
median69
Q3103
95-th percentile130.2
Maximum137
Range136
Interquartile range (IQR)68

Descriptive statistics

Standard deviation39.692569
Coefficient of variation (CV)0.57525462
Kurtosis-1.2
Mean69
Median Absolute Deviation (MAD)34
Skewness0
Sum9453
Variance1575.5
MonotonicityStrictly increasing
2023-12-12T21:55:33.278069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
104 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%

공원명
Text

Distinct128
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T21:55:33.592747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2116788
Min length2

Characters and Unicode

Total characters440
Distinct characters163
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)87.6%

Sample

1st row우면산
2nd row청계산
3rd row인능산
4th row대모산
5th row서리풀
ValueCountFrequency (%)
청계산 3
 
2.2%
양재 2
 
1.5%
잠원 2
 
1.5%
인능산 2
 
1.5%
우면산 2
 
1.5%
바우뫼 2
 
1.5%
송동 2
 
1.5%
말죽거리 2
 
1.5%
방배 2
 
1.5%
서리풀 2
 
1.5%
Other values (116) 116
84.7%
2023-12-12T21:55:34.111131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
19.5%
산 14
 
3.2%
리 13
 
3.0%
원 10
 
2.3%
동 8
 
1.8%
방 8
 
1.8%
말 8
 
1.8%
새 7
 
1.6%
마 7
 
1.6%
서 7
 
1.6%
Other values (153) 272
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
79.5%
Space Separator 86
 
19.5%
Decimal Number 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 14
 
4.0%
리 13
 
3.7%
원 10
 
2.9%
동 8
 
2.3%
방 8
 
2.3%
말 8
 
2.3%
새 7
 
2.0%
마 7
 
2.0%
서 7
 
2.0%
우 6
 
1.7%
Other values (150) 262
74.9%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
79.5%
Common 90
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 14
 
4.0%
리 13
 
3.7%
원 10
 
2.9%
동 8
 
2.3%
방 8
 
2.3%
말 8
 
2.3%
새 7
 
2.0%
마 7
 
2.0%
서 7
 
2.0%
우 6
 
1.7%
Other values (150) 262
74.9%
Common
ValueCountFrequency (%)
86
95.6%
2 2
 
2.2%
1 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
79.5%
ASCII 90
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
95.6%
2 2
 
2.2%
1 2
 
2.2%
Hangul
ValueCountFrequency (%)
산 14
 
4.0%
리 13
 
3.7%
원 10
 
2.9%
동 8
 
2.3%
방 8
 
2.3%
말 8
 
2.3%
새 7
 
2.0%
마 7
 
2.0%
서 7
 
2.0%
우 6
 
1.7%
Other values (150) 262
74.9%

공원구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
어린이공원
77 
근린공원
30 
소공원
19 
도시자연공원구역
 
7
수변공원
 
3

Length

Max length8
Median length5
Mean length4.6277372
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 77
56.2%
근린공원 30
 
21.9%
소공원 19
 
13.9%
도시자연공원구역 7
 
5.1%
수변공원 3
 
2.2%
체육공원 1
 
0.7%

Length

2023-12-12T21:55:34.263174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:34.374787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 77
56.2%
근린공원 30
 
21.9%
소공원 19
 
13.9%
도시자연공원구역 7
 
5.1%
수변공원 3
 
2.2%
체육공원 1
 
0.7%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

소재지지번주소
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T21:55:34.679033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.459854
Min length7

Characters and Unicode

Total characters1433
Distinct characters37
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

Unique137 ?
Unique (%)100.0%

Sample

1st row방배동 산 92-1 일대
2nd row원지동 산 4-13일대
3rd row신원동 산 39-1일대
4th row개포동 산 53-22일대
5th row방배동 산24-3일대
ValueCountFrequency (%)
방배동 23
 
6.7%
양재동 21
 
6.1%
서초동 21
 
6.1%
외 17
 
4.9%
우면동 17
 
4.9%
잠원동 16
 
4.7%
반포동 12
 
3.5%
신원동 10
 
2.9%
1 10
 
2.9%
내곡동 8
 
2.3%
Other values (154) 189
54.9%
2023-12-12T21:55:35.176747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
19.2%
동 137
 
9.6%
1 118
 
8.2%
- 100
 
7.0%
2 69
 
4.8%
3 63
 
4.4%
4 57
 
4.0%
5 48
 
3.3%
6 45
 
3.1%
7 40
 
2.8%
Other values (27) 481
33.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
38.1%
Other Letter 512
35.7%
Space Separator 275
19.2%
Dash Punctuation 100
 
7.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 137
26.8%
원 38
 
7.4%
외 33
 
6.4%
서 23
 
4.5%
초 23
 
4.5%
배 23
 
4.5%
방 23
 
4.5%
일 23
 
4.5%
재 21
 
4.1%
양 21
 
4.1%
Other values (15) 147
28.7%
Decimal Number
ValueCountFrequency (%)
1 118
21.6%
2 69
12.6%
3 63
11.5%
4 57
10.4%
5 48
8.8%
6 45
 
8.2%
7 40
 
7.3%
9 38
 
7.0%
0 35
 
6.4%
8 33
 
6.0%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 921
64.3%
Hangul 512
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 137
26.8%
원 38
 
7.4%
외 33
 
6.4%
서 23
 
4.5%
초 23
 
4.5%
배 23
 
4.5%
방 23
 
4.5%
일 23
 
4.5%
재 21
 
4.1%
양 21
 
4.1%
Other values (15) 147
28.7%
Common
ValueCountFrequency (%)
275
29.9%
1 118
12.8%
- 100
 
10.9%
2 69
 
7.5%
3 63
 
6.8%
4 57
 
6.2%
5 48
 
5.2%
6 45
 
4.9%
7 40
 
4.3%
9 38
 
4.1%
Other values (2) 68
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 921
64.3%
Hangul 512
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
29.9%
1 118
12.8%
- 100
 
10.9%
2 69
 
7.5%
3 63
 
6.8%
4 57
 
6.2%
5 48
 
5.2%
6 45
 
4.9%
7 40
 
4.3%
9 38
 
4.1%
Other values (2) 68
 
7.4%
Hangul
ValueCountFrequency (%)
동 137
26.8%
원 38
 
7.4%
외 33
 
6.4%
서 23
 
4.5%
초 23
 
4.5%
배 23
 
4.5%
방 23
 
4.5%
일 23
 
4.5%
재 21
 
4.1%
양 21
 
4.1%
Other values (15) 147
28.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.480949
Minimum37.43
Maximum37.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:55:35.311725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.43
5-th percentile37.44
Q137.46
median37.47
Q337.49
95-th percentile37.51
Maximum37.67
Range0.24
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.037335585
Coefficient of variation (CV)0.00099612166
Kurtosis15.383222
Mean37.480949
Median Absolute Deviation (MAD)0.01
Skewness3.4635848
Sum5134.89
Variance0.0013939459
MonotonicityNot monotonic
2023-12-12T21:55:35.442187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
37.47 30
21.9%
37.48 24
17.5%
37.46 20
14.6%
37.49 16
11.7%
37.51 12
 
8.8%
37.5 12
 
8.8%
37.45 11
 
8.0%
37.44 6
 
4.4%
37.43 2
 
1.5%
37.66 2
 
1.5%
ValueCountFrequency (%)
37.43 2
 
1.5%
37.44 6
 
4.4%
37.45 11
 
8.0%
37.46 20
14.6%
37.47 30
21.9%
37.48 24
17.5%
37.49 16
11.7%
37.5 12
 
8.8%
37.51 12
 
8.8%
37.66 2
 
1.5%
ValueCountFrequency (%)
37.67 2
 
1.5%
37.66 2
 
1.5%
37.51 12
 
8.8%
37.5 12
 
8.8%
37.49 16
11.7%
37.48 24
17.5%
37.47 30
21.9%
37.46 20
14.6%
37.45 11
 
8.0%
37.44 6
 
4.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01358
Minimum126.87
Maximum127.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:55:35.567605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.87
5-th percentile126.98
Q1127
median127.01
Q3127.03
95-th percentile127.06
Maximum127.07
Range0.2
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.033469416
Coefficient of variation (CV)0.00026351054
Kurtosis6.7214815
Mean127.01358
Median Absolute Deviation (MAD)0.02
Skewness-1.8107013
Sum17400.86
Variance0.0011202018
MonotonicityNot monotonic
2023-12-12T21:55:35.760903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
127.01 32
23.4%
127.0 16
11.7%
127.02 16
11.7%
126.99 15
10.9%
127.04 13
9.5%
127.03 11
 
8.0%
127.06 9
 
6.6%
127.05 9
 
6.6%
126.98 9
 
6.6%
127.07 3
 
2.2%
Other values (2) 4
 
2.9%
ValueCountFrequency (%)
126.87 2
 
1.5%
126.88 2
 
1.5%
126.98 9
 
6.6%
126.99 15
10.9%
127.0 16
11.7%
127.01 32
23.4%
127.02 16
11.7%
127.03 11
 
8.0%
127.04 13
9.5%
127.05 9
 
6.6%
ValueCountFrequency (%)
127.07 3
 
2.2%
127.06 9
 
6.6%
127.05 9
 
6.6%
127.04 13
9.5%
127.03 11
 
8.0%
127.02 16
11.7%
127.01 32
23.4%
127.0 16
11.7%
126.99 15
10.9%
126.98 9
 
6.6%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct134
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100907.78
Minimum259.5
Maximum3721692.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T21:55:35.916816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259.5
5-th percentile918.36
Q11094.5
median1703.8
Q35466.4
95-th percentile205519.2
Maximum3721692.4
Range3721432.9
Interquartile range (IQR)4371.9

Descriptive statistics

Standard deviation508855.23
Coefficient of variation (CV)5.042775
Kurtosis38.102855
Mean100907.78
Median Absolute Deviation (MAD)712.3
Skewness6.1148555
Sum13824366
Variance2.5893365 × 1011
MonotonicityNot monotonic
2023-12-12T21:55:36.081043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000.0 2
 
1.5%
1100.0 2
 
1.5%
991.9 2
 
1.5%
3721692.4 1
 
0.7%
1530.4 1
 
0.7%
1664.3 1
 
0.7%
1057.9 1
 
0.7%
1651.3 1
 
0.7%
1487.4 1
 
0.7%
553.0 1
 
0.7%
Other values (124) 124
90.5%
ValueCountFrequency (%)
259.5 1
0.7%
306.0 1
0.7%
380.7 1
0.7%
396.0 1
0.7%
553.0 1
0.7%
840.0 1
0.7%
847.8 1
0.7%
936.0 1
0.7%
945.1 1
0.7%
946.7 1
0.7%
ValueCountFrequency (%)
3721692.4 1
0.7%
3609700.6 1
0.7%
2201257.7 1
0.7%
2108968.6 1
0.7%
465938.3 1
0.7%
280822.6 1
0.7%
210517.2 1
0.7%
204269.7 1
0.7%
132020.3 1
0.7%
98587.0 1
0.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서울특별시 서초구청
137 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 서초구청
2nd row서울특별시 서초구청
3rd row서울특별시 서초구청
4th row서울특별시 서초구청
5th row서울특별시 서초구청

Common Values

ValueCountFrequency (%)
서울특별시 서초구청 137
100.0%

Length

2023-12-12T21:55:36.270651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:36.389994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 137
50.0%
서초구청 137
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
02-2155-6896
59 
02-2155-6864
34 
02-2155-6865
30 
02-2155-6870
 
4
02-2155-6882
 
2
Other values (5)
8 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row02-2155-6882
2nd row02-2155-6870
3rd row02-2155-6869
4th row02-2155-6873
5th row02-2155-6883

Common Values

ValueCountFrequency (%)
02-2155-6896 59
43.1%
02-2155-6864 34
24.8%
02-2155-6865 30
21.9%
02-2155-6870 4
 
2.9%
02-2155-6882 2
 
1.5%
02-2155-6869 2
 
1.5%
02-2155-6883 2
 
1.5%
02-2155-6881 2
 
1.5%
02-2155-6873 1
 
0.7%
02-2155-6878 1
 
0.7%

Length

2023-12-12T21:55:36.508755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:55:36.669415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2155-6896 59
43.1%
02-2155-6864 34
24.8%
02-2155-6865 30
21.9%
02-2155-6870 4
 
2.9%
02-2155-6882 2
 
1.5%
02-2155-6869 2
 
1.5%
02-2155-6883 2
 
1.5%
02-2155-6881 2
 
1.5%
02-2155-6873 1
 
0.7%
02-2155-6878 1
 
0.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-08-04 00:00:00
Maximum2022-08-04 00:00:00
2023-12-12T21:55:36.809145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:36.930566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:55:32.343401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.046203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.516614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.915620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.454768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.176561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.619395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.018433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.564528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.271040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.721220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.114319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.671042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.377213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:31.813540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:55:32.226525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:55:37.027852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공원구분위도경도공원면적전화번호
연번1.0000.8290.7400.6160.3540.795
공원구분0.8291.0000.1790.0000.5710.516
위도0.7400.1791.0000.7550.0000.842
경도0.6160.0000.7551.0000.3240.631
공원면적0.3540.5710.0000.3241.0000.857
전화번호0.7950.5160.8420.6310.8571.000
2023-12-12T21:55:37.137303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분전화번호
공원구분1.0000.297
전화번호0.2971.000
2023-12-12T21:55:37.232033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도공원면적공원구분전화번호
연번1.000-0.2390.214-0.3900.6200.358
위도-0.2391.000-0.611-0.0630.1200.495
경도0.214-0.6111.0000.0080.0000.367
공원면적-0.390-0.0630.0081.0000.4020.693
공원구분0.6200.1200.0000.4021.0000.297
전화번호0.3580.4950.3670.6930.2971.000

Missing values

2023-12-12T21:55:32.811265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:55:32.992338image/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

연번공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적관리기관명전화번호데이터기준일자
01우면산도시자연공원구역<NA>방배동 산 92-1 일대37.47127.03721692.4서울특별시 서초구청02-2155-68822022-08-04
12청계산도시자연공원구역<NA>원지동 산 4-13일대37.43127.043609700.6서울특별시 서초구청02-2155-68702022-08-04
23인능산도시자연공원구역<NA>신원동 산 39-1일대37.44127.062108968.6서울특별시 서초구청02-2155-68692022-08-04
34대모산도시자연공원구역<NA>개포동 산 53-22일대37.47127.062201257.7서울특별시 서초구청02-2155-68732022-08-04
45서리풀도시자연공원구역<NA>방배동 산24-3일대37.48126.99204269.7서울특별시 서초구청02-2155-68832022-08-04
56방배도시자연공원구역<NA>방배동 686-201일대37.47126.99210517.2서울특별시 서초구청02-2155-68812022-08-04
67말죽거리도시자연공원구역<NA>서초동 산28 일대37.48127.03280822.6서울특별시 서초구청02-2155-68702022-08-04
78서리풀근린공원<NA>방배동 산23-137.48127.0465938.3서울특별시 서초구청02-2155-68832022-08-04
89방배근린공원<NA>방배동 산43-7일대37.47126.9974847.6서울특별시 서초구청02-2155-68812022-08-04
910말죽거리근린공원<NA>양재동 산57-34일대37.48127.02132020.3서울특별시 서초구청02-2155-68702022-08-04
연번공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적관리기관명전화번호데이터기준일자
127128서릿개소공원<NA>잠원동 64-837.51127.03912.0서울특별시 서초구청02-2155-68652022-08-04
128129누에소공원<NA>잠원동 160-337.51127.011720.0서울특별시 서초구청02-2155-68652022-08-04
129130새봄소공원<NA>방배동 3278-137.48126.991471.8서울특별시 서초구청02-2155-68642022-08-04
130131잠원흥동소공원<NA>잠원동 74-237.5127.02000.0서울특별시 서초구청02-2155-68652022-08-04
131132방배경남소공원<NA>서초구 방배동 1028-137.47126.991662.25서울특별시 서초구청02-2155-68652022-08-04
132133우면산트러스트소공원<NA>서초동 431-5 일대37.48127.024679.0서울특별시 서초구청02-2155-68962022-08-04
133134우면수변공원<NA>우면동 749 외237.46127.0221609.1서울특별시 서초구청02-2155-68962022-08-04
134135신원천수변공원<NA>내곡동 139 일원37.45127.0611854.0서울특별시 서초구청02-2155-68962022-08-04
135136청계산수변공원<NA>신원동 482-2 일원37.45127.0598587.0서울특별시 서초구청02-2155-68962022-08-04
136137서초종합체육공원<NA>원지동 28번지 일대37.45127.0420923.0서울특별시 서초구청02-2155-68962022-08-04