Overview

Dataset statistics

Number of variables17
Number of observations134
Missing cells1112
Missing cells (%)48.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory148.0 B

Variable types

Text3
Categorical2
Unsupported8
Numeric3
DateTime1

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15004/F/1/datasetView.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
공원구분 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 공원구분High correlation
소재지도로명주소 has 134 (100.0%) missing valuesMissing
위도 has 21 (15.7%) missing valuesMissing
경도 has 19 (14.2%) missing valuesMissing
공원보유시설(운동시설) has 134 (100.0%) missing valuesMissing
공원보유시설(유희시설) has 134 (100.0%) missing valuesMissing
공원보유시설(편익시설) has 134 (100.0%) missing valuesMissing
공원보유시설(교양시설) has 134 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 134 (100.0%) missing valuesMissing
지정고시일 has 134 (100.0%) missing valuesMissing
관리기관명 has 134 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
공원명 has unique valuesUnique
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(운동시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(유희시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(편익시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(교양시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(기타시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정고시일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
관리기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:14:04.382675
Analysis finished2023-12-11 06:14:06.525647
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:06.753304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1474
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st row11680-00002
2nd row11680-00003
3rd row11680-00004
4th row11680-00005
5th row11680-00006
ValueCountFrequency (%)
11680-00002 1
 
0.7%
11680-00084 1
 
0.7%
11680-00098 1
 
0.7%
11680-00097 1
 
0.7%
11680-00096 1
 
0.7%
11680-00095 1
 
0.7%
11680-00094 1
 
0.7%
11680-00093 1
 
0.7%
11680-00092 1
 
0.7%
11680-00091 1
 
0.7%
Other values (124) 124
92.5%
2023-12-11T15:14:07.227948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 533
36.2%
1 337
22.9%
6 157
 
10.7%
8 157
 
10.7%
- 134
 
9.1%
2 34
 
2.3%
3 29
 
2.0%
4 24
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1340
90.9%
Dash Punctuation 134
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 533
39.8%
1 337
25.1%
6 157
 
11.7%
8 157
 
11.7%
2 34
 
2.5%
3 29
 
2.2%
4 24
 
1.8%
5 23
 
1.7%
7 23
 
1.7%
9 23
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1474
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 533
36.2%
1 337
22.9%
6 157
 
10.7%
8 157
 
10.7%
- 134
 
9.1%
2 34
 
2.3%
3 29
 
2.0%
4 24
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1474
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 533
36.2%
1 337
22.9%
6 157
 
10.7%
8 157
 
10.7%
- 134
 
9.1%
2 34
 
2.3%
3 29
 
2.0%
4 24
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

공원명
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:07.537399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.6268657
Min length4

Characters and Unicode

Total characters888
Distinct characters147
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

Unique134 ?
Unique (%)100.0%

Sample

1st row신사근린공원
2nd row대청근린공원
3rd row늘푸른근린공원
4th row개포서근린공원
5th row개포동근린공원
ValueCountFrequency (%)
대치청실아파트 2
 
1.4%
소공원 2
 
1.4%
신사근린공원 1
 
0.7%
개포개나리공원 1
 
0.7%
개포은행나무공원 1
 
0.7%
개포목련공원 1
 
0.7%
일원은행나무공원 1
 
0.7%
일원목련공원 1
 
0.7%
일원까치공원 1
 
0.7%
궁마을공원 1
 
0.7%
Other values (129) 129
91.5%
2023-12-11T15:14:08.065987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 142
 
16.0%
공 131
 
14.8%
근 50
 
5.6%
린 48
 
5.4%
나 21
 
2.4%
개 19
 
2.1%
무 17
 
1.9%
치 17
 
1.9%
소 14
 
1.6%
은 13
 
1.5%
Other values (137) 416
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
95.9%
Decimal Number 22
 
2.5%
Space Separator 7
 
0.8%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 142
 
16.7%
공 131
 
15.4%
근 50
 
5.9%
린 48
 
5.6%
나 21
 
2.5%
개 19
 
2.2%
무 17
 
2.0%
치 17
 
2.0%
소 14
 
1.6%
은 13
 
1.5%
Other values (124) 380
44.6%
Decimal Number
ValueCountFrequency (%)
2 7
31.8%
1 5
22.7%
4 3
13.6%
6 2
 
9.1%
3 1
 
4.5%
5 1
 
4.5%
7 1
 
4.5%
9 1
 
4.5%
8 1
 
4.5%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
95.9%
Common 36
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 142
 
16.7%
공 131
 
15.4%
근 50
 
5.9%
린 48
 
5.6%
나 21
 
2.5%
개 19
 
2.2%
무 17
 
2.0%
치 17
 
2.0%
소 14
 
1.6%
은 13
 
1.5%
Other values (124) 380
44.6%
Common
ValueCountFrequency (%)
7
19.4%
2 7
19.4%
1 5
13.9%
4 3
8.3%
( 3
8.3%
) 3
8.3%
6 2
 
5.6%
3 1
 
2.8%
5 1
 
2.8%
7 1
 
2.8%
Other values (3) 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
95.9%
ASCII 36
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 142
 
16.7%
공 131
 
15.4%
근 50
 
5.9%
린 48
 
5.6%
나 21
 
2.5%
개 19
 
2.2%
무 17
 
2.0%
치 17
 
2.0%
소 14
 
1.6%
은 13
 
1.5%
Other values (124) 380
44.6%
ASCII
ValueCountFrequency (%)
7
19.4%
2 7
19.4%
1 5
13.9%
4 3
8.3%
( 3
8.3%
) 3
8.3%
6 2
 
5.6%
3 1
 
2.8%
5 1
 
2.8%
7 1
 
2.8%
Other values (3) 3
8.3%

공원구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
어린이공원
64 
근린공원
54 
소공원
12 
수변공원
 
2
역사공원
 
1

Length

Max length5
Median length4
Mean length4.3880597
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 64
47.8%
근린공원 54
40.3%
소공원 12
 
9.0%
수변공원 2
 
1.5%
역사공원 1
 
0.7%
문화공원 1
 
0.7%

Length

2023-12-11T15:14:08.250454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:08.386685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 64
47.8%
근린공원 54
40.3%
소공원 12
 
9.0%
수변공원 2
 
1.5%
역사공원 1
 
0.7%
문화공원 1
 
0.7%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

소재지지번주소
Text

Distinct133
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:08.821429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length19.701493
Min length16

Characters and Unicode

Total characters2640
Distinct characters49
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

Unique132 ?
Unique (%)98.5%

Sample

1st row서울특별시 강남구 압구정동 422
2nd row서울특별시 강남구 일원동 621
3rd row서울특별시 강남구 일원동 690
4th row서울특별시 강남구 개포동 180 외 2필지
5th row서울특별시 강남구 개포동 182-1 외 2필지
ValueCountFrequency (%)
서울특별시 134
22.6%
강남구 134
22.6%
외 28
 
4.7%
역삼동 18
 
3.0%
개포동 16
 
2.7%
일원동 14
 
2.4%
세곡동 13
 
2.2%
대치동 11
 
1.9%
수서동 10
 
1.7%
도곡동 9
 
1.5%
Other values (157) 205
34.6%
2023-12-11T15:14:09.740042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
17.3%
서 144
 
5.5%
구 139
 
5.3%
남 134
 
5.1%
강 134
 
5.1%
울 134
 
5.1%
시 134
 
5.1%
별 134
 
5.1%
특 134
 
5.1%
동 133
 
5.0%
Other values (39) 962
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1570
59.5%
Decimal Number 528
 
20.0%
Space Separator 458
 
17.3%
Dash Punctuation 84
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 144
9.2%
구 139
8.9%
남 134
8.5%
강 134
8.5%
울 134
8.5%
시 134
8.5%
별 134
8.5%
특 134
8.5%
동 133
8.5%
곡 31
 
2.0%
Other values (27) 319
20.3%
Decimal Number
ValueCountFrequency (%)
1 109
20.6%
2 64
12.1%
5 62
11.7%
3 57
10.8%
7 53
10.0%
6 52
9.8%
4 42
 
8.0%
9 34
 
6.4%
0 31
 
5.9%
8 24
 
4.5%
Space Separator
ValueCountFrequency (%)
458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1570
59.5%
Common 1070
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 144
9.2%
구 139
8.9%
남 134
8.5%
강 134
8.5%
울 134
8.5%
시 134
8.5%
별 134
8.5%
특 134
8.5%
동 133
8.5%
곡 31
 
2.0%
Other values (27) 319
20.3%
Common
ValueCountFrequency (%)
458
42.8%
1 109
 
10.2%
- 84
 
7.9%
2 64
 
6.0%
5 62
 
5.8%
3 57
 
5.3%
7 53
 
5.0%
6 52
 
4.9%
4 42
 
3.9%
9 34
 
3.2%
Other values (2) 55
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1570
59.5%
ASCII 1070
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
42.8%
1 109
 
10.2%
- 84
 
7.9%
2 64
 
6.0%
5 62
 
5.8%
3 57
 
5.3%
7 53
 
5.0%
6 52
 
4.9%
4 42
 
3.9%
9 34
 
3.2%
Other values (2) 55
 
5.1%
Hangul
ValueCountFrequency (%)
서 144
9.2%
구 139
8.9%
남 134
8.5%
강 134
8.5%
울 134
8.5%
시 134
8.5%
별 134
8.5%
특 134
8.5%
동 133
8.5%
곡 31
 
2.0%
Other values (27) 319
20.3%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct111
Distinct (%)98.2%
Missing21
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean37.494279
Minimum37.462426
Maximum37.532685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:09.927039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.462426
5-th percentile37.467089
Q137.483326
median37.492002
Q337.505409
95-th percentile37.525576
Maximum37.532685
Range0.07025934
Interquartile range (IQR)0.022083

Descriptive statistics

Standard deviation0.017687198
Coefficient of variation (CV)0.00047173059
Kurtosis-0.61938441
Mean37.494279
Median Absolute Deviation (MAD)0.009009
Skewness0.36643572
Sum4236.8536
Variance0.00031283699
MonotonicityNot monotonic
2023-12-11T15:14:10.173452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.500748 2
 
1.5%
37.485235 2
 
1.5%
37.483047 1
 
0.7%
37.480681 1
 
0.7%
37.496013 1
 
0.7%
37.491953 1
 
0.7%
37.484831 1
 
0.7%
37.491431 1
 
0.7%
37.492002 1
 
0.7%
37.474238 1
 
0.7%
Other values (101) 101
75.4%
(Missing) 21
 
15.7%
ValueCountFrequency (%)
37.462426 1
0.7%
37.463874 1
0.7%
37.465072 1
0.7%
37.465664 1
0.7%
37.466333 1
0.7%
37.466445 1
0.7%
37.467518 1
0.7%
37.469014 1
0.7%
37.469317 1
0.7%
37.470276 1
0.7%
ValueCountFrequency (%)
37.53268534 1
0.7%
37.531496 1
0.7%
37.530689 1
0.7%
37.527425 1
0.7%
37.526708 1
0.7%
37.526208 1
0.7%
37.525154 1
0.7%
37.524131 1
0.7%
37.523911 1
0.7%
37.523249 1
0.7%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct114
Distinct (%)99.1%
Missing19
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean127.05853
Minimum127.01367
Maximum127.10746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:10.355134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01367
5-th percentile127.02158
Q1127.03942
median127.05235
Q3127.07914
95-th percentile127.09978
Maximum127.10746
Range0.093789
Interquartile range (IQR)0.03971605

Descriptive statistics

Standard deviation0.025884234
Coefficient of variation (CV)0.00020371898
Kurtosis-1.0851473
Mean127.05853
Median Absolute Deviation (MAD)0.017057
Skewness0.27214167
Sum14611.731
Variance0.00066999355
MonotonicityNot monotonic
2023-12-11T15:14:10.565532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.067125 2
 
1.5%
127.071949 1
 
0.7%
127.064406 1
 
0.7%
127.090647 1
 
0.7%
127.079419 1
 
0.7%
127.076807 1
 
0.7%
127.068214 1
 
0.7%
127.043675 1
 
0.7%
127.0492625 1
 
0.7%
127.0608782 1
 
0.7%
Other values (104) 104
77.6%
(Missing) 19
 
14.2%
ValueCountFrequency (%)
127.013669 1
0.7%
127.017064 1
0.7%
127.017942 1
0.7%
127.020466 1
0.7%
127.020792 1
0.7%
127.021458 1
0.7%
127.021627 1
0.7%
127.021935 1
0.7%
127.021936 1
0.7%
127.021971 1
0.7%
ValueCountFrequency (%)
127.107458 1
0.7%
127.104715 1
0.7%
127.104617 1
0.7%
127.101805 1
0.7%
127.100111 1
0.7%
127.099851 1
0.7%
127.0997523 1
0.7%
127.0997276 1
0.7%
127.099314 1
0.7%
127.098339 1
0.7%

공원면적
Real number (ℝ)

Distinct129
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16019.366
Minimum80
Maximum519782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:10.767989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile531.375
Q11260.9
median1651
Q310377
95-th percentile65048.045
Maximum519782
Range519702
Interquartile range (IQR)9116.1

Descriptive statistics

Standard deviation55139.208
Coefficient of variation (CV)3.4420342
Kurtosis56.476007
Mean16019.366
Median Absolute Deviation (MAD)899.2
Skewness6.9735574
Sum2146595.1
Variance3.0403322 × 109
MonotonicityNot monotonic
2023-12-11T15:14:10.955456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.2 2
 
1.5%
1500.0 2
 
1.5%
1500.6 2
 
1.5%
1500.1 2
 
1.5%
1500.4 2
 
1.5%
4453.6 1
 
0.7%
2488.1 1
 
0.7%
1535.9 1
 
0.7%
306.0 1
 
0.7%
1690.2 1
 
0.7%
Other values (119) 119
88.8%
ValueCountFrequency (%)
80.0 1
0.7%
302.0 1
0.7%
306.0 1
0.7%
386.0 1
0.7%
427.6 1
0.7%
468.0 1
0.7%
481.0 1
0.7%
558.5 1
0.7%
576.0 1
0.7%
604.1 1
0.7%
ValueCountFrequency (%)
519782.0 1
0.7%
254648.0 1
0.7%
232078.2 1
0.7%
101513.0 1
0.7%
98417.0 1
0.7%
90063.9 1
0.7%
75635.7 1
0.7%
59347.0 1
0.7%
44587.5 1
0.7%
38003.6 1
0.7%

공원보유시설(운동시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(유희시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(편익시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

지정고시일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

관리기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
02-3423-6245
68 
02-3423-6247
64 
02-3423-6244
 
2

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-3423-6245
2nd row02-3423-6245
3rd row02-3423-6245
4th row02-3423-6245
5th row02-3423-6245

Common Values

ValueCountFrequency (%)
02-3423-6245 68
50.7%
02-3423-6247 64
47.8%
02-3423-6244 2
 
1.5%

Length

2023-12-11T15:14:11.144047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:11.286451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3423-6245 68
50.7%
02-3423-6247 64
47.8%
02-3423-6244 2
 
1.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2020-08-27 00:00:00
Maximum2020-08-27 00:00:00
2023-12-11T15:14:11.409708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:11.528397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T15:14:05.579898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:04.851091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.259627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.704895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.017532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.384518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.813924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.141451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:05.493479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T15:14:11.614839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적전화번호
공원구분1.0000.3200.2110.3490.956
위도0.3201.0000.7830.0000.070
경도0.2110.7831.0000.3620.316
공원면적0.3490.0000.3621.0000.098
전화번호0.9560.0700.3160.0981.000
2023-12-11T15:14:11.755922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분전화번호
공원구분1.0000.736
전화번호0.7361.000
2023-12-11T15:14:11.874817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분전화번호
위도1.000-0.768-0.1180.1690.044
경도-0.7681.0000.1800.1070.232
공원면적-0.1180.1801.0000.2290.092
공원구분0.1690.1070.2291.0000.736
전화번호0.0440.2320.0920.7361.000

Missing values

2023-12-11T15:14:05.992823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:14:06.297936image/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.
2023-12-11T15:14:06.473140image/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

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
011680-00002신사근린공원근린공원<NA>서울특별시 강남구 압구정동 42237.526708127.0214586800.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
111680-00003대청근린공원근린공원<NA>서울특별시 강남구 일원동 62137.493199127.08300214089.1<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
211680-00004늘푸른근린공원근린공원<NA>서울특별시 강남구 일원동 69037.489885127.07743611410.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
311680-00005개포서근린공원근린공원<NA>서울특별시 강남구 개포동 180 외 2필지37.488628127.06414211219.2<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
411680-00006개포동근린공원근린공원<NA>서울특별시 강남구 개포동 182-1 외 2필지37.489686127.0595269705.6<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
511680-00007대치근린공원근린공원<NA>서울특별시 강남구 대치동 51237.495123127.06110910408.9<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
611680-00008늘벗근린공원근린공원<NA>서울특별시 강남구 대치동 50137.489623127.04839419812.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
711680-00009독골근린공원근린공원<NA>서울특별시 강남구 도곡동 46137.484552127.04682510022.9<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
811680-00010포이근린공원근린공원<NA>서울특별시 강남구 개포동 1239-21 외 5필지37.479681127.03603716811.4<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
911680-00011청룡근린공원근린공원<NA>서울특별시 강남구 개포동 649-137.485594127.0456059367.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
12411680-00125수변공원2호수변공원<NA>서울특별시 강남구 세곡동 53737.465072127.0937553713.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
12511680-00126쉼표소공원소공원<NA>서울특별시 강남구 세곡동 54937.467518127.0998511199.2<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
12611680-00127대치청실아파트 소공원1소공원<NA>서울특별시 강남구 대치동 63337.494298<NA>3845.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
12711680-00128대치청실아파트 소공원2소공원<NA>서울특별시 강남구 대치동 61037.495443127.061029610.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
12811680-00129역삼미소공원소공원<NA>서울특별시 강남구 역삼동 711-5<NA><NA>576.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
12911680-00130도곡햇살공원소공원<NA>서울특별시 강남구 도곡동 538-4<NA><NA>558.5<NA><NA><NA><NA><NA><NA><NA>02-3423-62452020-08-27
13011680-00131도담공원어린이공원<NA>서울특별시 강남구 세곡동 548<NA><NA>4282.7<NA><NA><NA><NA><NA><NA><NA>02-3423-62472020-08-27
13111680-00132행복공원어린이공원<NA>서울특별시 강남구 세곡동 546<NA><NA>2483.5<NA><NA><NA><NA><NA><NA><NA>02-3423-62472020-08-27
13211680-00133대치에스케이뷰1 소공원소공원<NA>서울특별시 강남구 대치동 1029-2<NA><NA>302.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62442020-08-27
13311680-00134대치에스케이뷰2 소공원소공원<NA>서울특별시 강남구 대치동 1029-3<NA><NA>481.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62442020-08-27