Overview

Dataset statistics

Number of variables17
Number of observations130
Missing cells1040
Missing cells (%)47.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 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 130 (100.0%) missing valuesMissing
공원보유시설(운동시설) has 130 (100.0%) missing valuesMissing
공원보유시설(유희시설) has 130 (100.0%) missing valuesMissing
공원보유시설(편익시설) has 130 (100.0%) missing valuesMissing
공원보유시설(교양시설) has 130 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 130 (100.0%) missing valuesMissing
지정고시일 has 130 (100.0%) missing valuesMissing
관리기관명 has 130 (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 06:14:36.710038
Analysis finished2023-12-11 06:14:38.811497
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T15:14:39.083040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1430
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

Unique130 ?
Unique (%)100.0%

Sample

1st row11680-00002
2nd row11680-00003
3rd row11680-00004
4th row11680-00005
5th row11680-00006
ValueCountFrequency (%)
11680-00002 1
 
0.8%
11680-00099 1
 
0.8%
11680-00097 1
 
0.8%
11680-00096 1
 
0.8%
11680-00095 1
 
0.8%
11680-00094 1
 
0.8%
11680-00093 1
 
0.8%
11680-00092 1
 
0.8%
11680-00091 1
 
0.8%
11680-00090 1
 
0.8%
Other values (120) 120
92.3%
2023-12-11T15:14:39.607497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 519
36.3%
1 327
22.9%
6 153
 
10.7%
8 152
 
10.6%
- 130
 
9.1%
2 32
 
2.2%
3 29
 
2.0%
5 23
 
1.6%
9 23
 
1.6%
7 21
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1300
90.9%
Dash Punctuation 130
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 519
39.9%
1 327
25.2%
6 153
 
11.8%
8 152
 
11.7%
2 32
 
2.5%
3 29
 
2.2%
5 23
 
1.8%
9 23
 
1.8%
7 21
 
1.6%
4 21
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 519
36.3%
1 327
22.9%
6 153
 
10.7%
8 152
 
10.6%
- 130
 
9.1%
2 32
 
2.2%
3 29
 
2.0%
5 23
 
1.6%
9 23
 
1.6%
7 21
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 519
36.3%
1 327
22.9%
6 153
 
10.7%
8 152
 
10.6%
- 130
 
9.1%
2 32
 
2.2%
3 29
 
2.0%
5 23
 
1.6%
9 23
 
1.6%
7 21
 
1.5%

공원명
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T15:14:39.932132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.5461538
Min length4

Characters and Unicode

Total characters851
Distinct characters143
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

Unique130 ?
Unique (%)100.0%

Sample

1st row신사근린공원
2nd row대청근린공원
3rd row늘푸른근린공원
4th row개포서근린공원
5th row개포동근린공원
ValueCountFrequency (%)
소공원 2
 
1.5%
신사근린공원 1
 
0.7%
일원까치공원 1
 
0.7%
개포공원 1
 
0.7%
개포개나리공원 1
 
0.7%
개포은행나무공원 1
 
0.7%
개포목련공원 1
 
0.7%
일원은행나무공원 1
 
0.7%
일원목련공원 1
 
0.7%
궁마을공원 1
 
0.7%
Other values (123) 123
91.8%
2023-12-11T15:14:40.436011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 139
 
16.3%
공 128
 
15.0%
근 50
 
5.9%
린 48
 
5.6%
나 21
 
2.5%
개 19
 
2.2%
무 17
 
2.0%
치 15
 
1.8%
은 13
 
1.5%
삼 12
 
1.4%
Other values (133) 389
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
96.7%
Decimal Number 17
 
2.0%
Space Separator 4
 
0.5%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 139
 
16.9%
공 128
 
15.6%
근 50
 
6.1%
린 48
 
5.8%
나 21
 
2.6%
개 19
 
2.3%
무 17
 
2.1%
치 15
 
1.8%
은 13
 
1.6%
삼 12
 
1.5%
Other values (121) 361
43.9%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
1 4
23.5%
6 2
 
11.8%
4 2
 
11.8%
3 1
 
5.9%
5 1
 
5.9%
7 1
 
5.9%
9 1
 
5.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
96.7%
Common 28
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 139
 
16.9%
공 128
 
15.6%
근 50
 
6.1%
린 48
 
5.8%
나 21
 
2.6%
개 19
 
2.3%
무 17
 
2.1%
치 15
 
1.8%
은 13
 
1.6%
삼 12
 
1.5%
Other values (121) 361
43.9%
Common
ValueCountFrequency (%)
2 5
17.9%
1 4
14.3%
4
14.3%
) 3
10.7%
( 3
10.7%
6 2
 
7.1%
4 2
 
7.1%
3 1
 
3.6%
5 1
 
3.6%
7 1
 
3.6%
Other values (2) 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
96.7%
ASCII 28
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 139
 
16.9%
공 128
 
15.6%
근 50
 
6.1%
린 48
 
5.8%
나 21
 
2.6%
개 19
 
2.3%
무 17
 
2.1%
치 15
 
1.8%
은 13
 
1.6%
삼 12
 
1.5%
Other values (121) 361
43.9%
ASCII
ValueCountFrequency (%)
2 5
17.9%
1 4
14.3%
4
14.3%
) 3
10.7%
( 3
10.7%
6 2
 
7.1%
4 2
 
7.1%
3 1
 
3.6%
5 1
 
3.6%
7 1
 
3.6%
Other values (2) 2
 
7.1%

공원구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
어린이공원
64 
근린공원
52 
소공원
10 
수변공원
 
2
역사공원
 
1

Length

Max length5
Median length4
Mean length4.4153846
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 64
49.2%
근린공원 52
40.0%
소공원 10
 
7.7%
수변공원 2
 
1.5%
역사공원 1
 
0.8%
문화공원 1
 
0.8%

Length

2023-12-11T15:14:40.638220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:40.777823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 64
49.2%
근린공원 52
40.0%
소공원 10
 
7.7%
수변공원 2
 
1.5%
역사공원 1
 
0.8%
문화공원 1
 
0.8%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지지번주소
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T15:14:41.174873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.376923
Min length16

Characters and Unicode

Total characters2389
Distinct characters45
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

Unique128 ?
Unique (%)98.5%

Sample

1st row서울특별시 강남구 압구정동 422
2nd row서울특별시 강남구 일원동 621
3rd row서울특별시 강남구 일원동 690
4th row서울특별시 강남구 개포동 180
5th row서울특별시 강남구 개포동 182-1
ValueCountFrequency (%)
서울특별시 130
25.0%
강남구 130
25.0%
역삼동 18
 
3.5%
개포동 16
 
3.1%
일원동 14
 
2.7%
세곡동 12
 
2.3%
수서동 10
 
1.9%
대치동 9
 
1.7%
도곡동 9
 
1.7%
논현동 9
 
1.7%
Other values (135) 162
31.2%
2023-12-11T15:14:41.800984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
16.3%
서 140
 
5.9%
구 134
 
5.6%
특 130
 
5.4%
별 130
 
5.4%
시 130
 
5.4%
강 130
 
5.4%
남 130
 
5.4%
울 130
 
5.4%
동 130
 
5.4%
Other values (35) 816
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1437
60.2%
Decimal Number 479
 
20.1%
Space Separator 389
 
16.3%
Dash Punctuation 84
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 140
9.7%
구 134
9.3%
특 130
9.0%
별 130
9.0%
시 130
9.0%
강 130
9.0%
남 130
9.0%
울 130
9.0%
동 130
9.0%
곡 30
 
2.1%
Other values (23) 223
15.5%
Decimal Number
ValueCountFrequency (%)
1 90
18.8%
2 57
11.9%
5 57
11.9%
7 53
11.1%
3 51
10.6%
6 49
10.2%
4 38
7.9%
9 32
 
6.7%
0 29
 
6.1%
8 23
 
4.8%
Space Separator
ValueCountFrequency (%)
389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1437
60.2%
Common 952
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 140
9.7%
구 134
9.3%
특 130
9.0%
별 130
9.0%
시 130
9.0%
강 130
9.0%
남 130
9.0%
울 130
9.0%
동 130
9.0%
곡 30
 
2.1%
Other values (23) 223
15.5%
Common
ValueCountFrequency (%)
389
40.9%
1 90
 
9.5%
- 84
 
8.8%
2 57
 
6.0%
5 57
 
6.0%
7 53
 
5.6%
3 51
 
5.4%
6 49
 
5.1%
4 38
 
4.0%
9 32
 
3.4%
Other values (2) 52
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1437
60.2%
ASCII 952
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
40.9%
1 90
 
9.5%
- 84
 
8.8%
2 57
 
6.0%
5 57
 
6.0%
7 53
 
5.6%
3 51
 
5.4%
6 49
 
5.1%
4 38
 
4.0%
9 32
 
3.4%
Other values (2) 52
 
5.5%
Hangul
ValueCountFrequency (%)
서 140
9.7%
구 134
9.3%
특 130
9.0%
별 130
9.0%
시 130
9.0%
강 130
9.0%
남 130
9.0%
울 130
9.0%
동 130
9.0%
곡 30
 
2.1%
Other values (23) 223
15.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.493507
Minimum37.460585
Maximum37.532685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:42.001389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.460585
5-th percentile37.466071
Q137.483105
median37.491861
Q337.504133
95-th percentile37.524032
Maximum37.532685
Range0.0721006
Interquartile range (IQR)0.021028185

Descriptive statistics

Standard deviation0.01766232
Coefficient of variation (CV)0.00047107676
Kurtosis-0.58881817
Mean37.493507
Median Absolute Deviation (MAD)0.009661385
Skewness0.28921456
Sum4874.1559
Variance0.00031195755
MonotonicityNot monotonic
2023-12-11T15:14:42.231301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.48970641 2
 
1.5%
37.48532872 2
 
1.5%
37.526708 1
 
0.8%
37.49183156 1
 
0.8%
37.47429924 1
 
0.8%
37.492002 1
 
0.8%
37.491431 1
 
0.8%
37.4918904 1
 
0.8%
37.484831 1
 
0.8%
37.480681 1
 
0.8%
Other values (118) 118
90.8%
ValueCountFrequency (%)
37.46058474 1
0.8%
37.4624778 1
0.8%
37.46321345 1
0.8%
37.463874 1
0.8%
37.46520915 1
0.8%
37.465664 1
0.8%
37.46569942 1
0.8%
37.46652497 1
0.8%
37.46670933 1
0.8%
37.46728874 1
0.8%
ValueCountFrequency (%)
37.53268534 1
0.8%
37.53139874 1
0.8%
37.53072221 1
0.8%
37.526708 1
0.8%
37.52567303 1
0.8%
37.525154 1
0.8%
37.524131 1
0.8%
37.523911 1
0.8%
37.52342193 1
0.8%
37.523249 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06409
Minimum127.02127
Maximum127.11149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:42.439749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02127
5-th percentile127.02784
Q1127.04464
median127.05882
Q3127.08865
95-th percentile127.10482
Maximum127.11149
Range0.0902286
Interquartile range (IQR)0.04401665

Descriptive statistics

Standard deviation0.025946606
Coefficient of variation (CV)0.00020420094
Kurtosis-1.2524931
Mean127.06409
Median Absolute Deviation (MAD)0.0218453
Skewness0.23210195
Sum16518.331
Variance0.00067322638
MonotonicityNot monotonic
2023-12-11T15:14:42.640016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0682905 2
 
1.5%
127.0716569 2
 
1.5%
127.0212651 1
 
0.8%
127.0733493 1
 
0.8%
127.0524432 1
 
0.8%
127.0769753 1
 
0.8%
127.0855901 1
 
0.8%
127.0882309 1
 
0.8%
127.0994148 1
 
0.8%
127.0808231 1
 
0.8%
Other values (118) 118
90.8%
ValueCountFrequency (%)
127.0212651 1
0.8%
127.0224572 1
0.8%
127.0250971 1
0.8%
127.0252037 1
0.8%
127.0258327 1
0.8%
127.0260394 1
0.8%
127.0267093 1
0.8%
127.029229 1
0.8%
127.029443 1
0.8%
127.0300758 1
0.8%
ValueCountFrequency (%)
127.1114937 1
0.8%
127.109147 1
0.8%
127.1082321 1
0.8%
127.1071102 1
0.8%
127.1064899 1
0.8%
127.1054203 1
0.8%
127.1049341 1
0.8%
127.104681 1
0.8%
127.1038574 1
0.8%
127.1036989 1
0.8%

공원면적
Real number (ℝ)

Distinct125
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15589.683
Minimum80
Maximum519782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:42.833892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile515.875
Q11260.9
median1648.1
Q310238.525
95-th percentile52705.225
Maximum519782
Range519702
Interquartile range (IQR)8977.625

Descriptive statistics

Standard deviation55450.317
Coefficient of variation (CV)3.5568598
Kurtosis57.217647
Mean15589.683
Median Absolute Deviation (MAD)844.05
Skewness7.0677574
Sum2026658.8
Variance3.0747376 × 109
MonotonicityNot monotonic
2023-12-11T15:14:43.023274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.1 2
 
1.5%
1500.4 2
 
1.5%
1500.2 2
 
1.5%
1500.0 2
 
1.5%
1500.6 2
 
1.5%
4453.6 1
 
0.8%
2488.1 1
 
0.8%
1535.9 1
 
0.8%
306.0 1
 
0.8%
1476.3 1
 
0.8%
Other values (115) 115
88.5%
ValueCountFrequency (%)
80.0 1
0.8%
302.0 1
0.8%
306.0 1
0.8%
386.0 1
0.8%
427.6 1
0.8%
468.0 1
0.8%
481.0 1
0.8%
558.5 1
0.8%
576.0 1
0.8%
604.1 1
0.8%
ValueCountFrequency (%)
519782.0 1
0.8%
254648.0 1
0.8%
232078.2 1
0.8%
98417.0 1
0.8%
90063.9 1
0.8%
75635.7 1
0.8%
59347.0 1
0.8%
44587.5 1
0.8%
38003.6 1
0.8%
33974.9 1
0.8%

공원보유시설(운동시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(유희시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(편익시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

지정고시일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

관리기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
02-3423-6245
64 
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 64
49.2%
02-3423-6247 64
49.2%
02-3423-6244 2
 
1.5%

Length

2023-12-11T15:14:43.189692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:43.319831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3423-6245 64
49.2%
02-3423-6247 64
49.2%
02-3423-6244 2
 
1.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-05-31 00:00:00
Maximum2023-05-31 00:00:00
2023-12-11T15:14:43.417759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:43.524859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T15:14:37.931297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.188192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.568657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:38.080165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.329807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.704131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:38.200365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.456838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:37.822230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T15:14:43.623865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적전화번호
공원구분1.0000.2710.2810.3870.960
위도0.2711.0000.7590.0000.000
경도0.2810.7591.0000.0990.448
공원면적0.3870.0000.0991.0000.085
전화번호0.9600.0000.4480.0851.000
2023-12-11T15:14:43.749870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분전화번호
공원구분1.0000.747
전화번호0.7471.000
2023-12-11T15:14:43.847045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분전화번호
위도1.000-0.775-0.1980.1420.000
경도-0.7751.0000.1520.1470.292
공원면적-0.1980.1521.0000.2560.079
공원구분0.1420.1470.2561.0000.747
전화번호0.0000.2920.0790.7471.000

Missing values

2023-12-11T15:14:38.365741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:14:38.688841image/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

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
011680-00002신사근린공원근린공원<NA>서울특별시 강남구 압구정동 42237.526708127.0212656800.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
111680-00003대청근린공원근린공원<NA>서울특별시 강남구 일원동 62137.493199127.08300214089.1<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
211680-00004늘푸른근린공원근린공원<NA>서울특별시 강남구 일원동 69037.489511127.07733911410.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
311680-00005개포서근린공원근린공원<NA>서울특별시 강남구 개포동 18037.488594127.06355811219.2<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
411680-00006개포동근린공원근린공원<NA>서울특별시 강남구 개포동 182-137.489706127.0682919705.6<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
511680-00007대치근린공원근린공원<NA>서울특별시 강남구 대치동 51237.495123127.06990310408.9<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
611680-00008늘벗근린공원근린공원<NA>서울특별시 강남구 대치동 50137.489281127.0563319812.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
711680-00009독골근린공원근린공원<NA>서울특별시 강남구 도곡동 46137.484552127.04682510022.9<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
811680-00010포이근린공원근린공원<NA>서울특별시 강남구 개포동 1239-2137.479676127.04478116811.4<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
911680-00011청룡근린공원근린공원<NA>서울특별시 강남구 개포동 649-137.485285127.0537979367.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
12011680-00123근린공원7호근린공원<NA>서울특별시 강남구 자곡동 62737.47039127.09239912093.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12111680-00124수변공원1호수변공원<NA>서울특별시 강남구 세곡동604-137.465664127.09718110399.2<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12211680-00125수변공원2호수변공원<NA>서울특별시 강남구 세곡동 53737.465209127.0937553713.3<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12311680-00126쉼표소공원소공원<NA>서울특별시 강남구 세곡동 54937.467518127.0998511199.2<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12411680-00129역삼미소공원소공원<NA>서울특별시 강남구 역삼동 711-537.501425127.043988576.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12511680-00130도곡햇살공원소공원<NA>서울특별시 강남구 도곡동 538-437.495752127.052491558.5<NA><NA><NA><NA><NA><NA><NA>02-3423-62452023-05-31
12611680-00131도담공원어린이공원<NA>서울특별시 강남구 세곡동 54837.467325127.0986134282.7<NA><NA><NA><NA><NA><NA><NA>02-3423-62472023-05-31
12711680-00132행복공원어린이공원<NA>서울특별시 강남구 세곡동 54637.467289127.0971652483.5<NA><NA><NA><NA><NA><NA><NA>02-3423-62472023-05-31
12811680-00133대치에스케이뷰1 소공원소공원<NA>서울특별시 강남구 대치동 1029-237.495765127.059511302.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62442023-05-31
12911680-00134대치에스케이뷰2 소공원소공원<NA>서울특별시 강남구 대치동 1029-337.496051127.061489481.0<NA><NA><NA><NA><NA><NA><NA>02-3423-62442023-05-31