Overview

Dataset statistics

Number of variables17
Number of observations132
Missing cells908
Missing cells (%)40.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory146.0 B

Variable types

Text4
Categorical4
Numeric3
Unsupported6

Dataset

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

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공원구분 is highly overall correlated with 전화번호High correlation
전화번호 is highly overall correlated with 공원구분High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
소재지도로명주소 has 108 (81.8%) missing valuesMissing
위도 has 4 (3.0%) missing valuesMissing
경도 has 4 (3.0%) missing valuesMissing
공원보유시설(운동시설) has 132 (100.0%) missing valuesMissing
공원보유시설(유희시설) has 132 (100.0%) missing valuesMissing
공원보유시설(편익시설) has 132 (100.0%) missing valuesMissing
공원보유시설(교양시설) has 132 (100.0%) missing valuesMissing
공원보유시설(기타시설) has 132 (100.0%) missing valuesMissing
지정고시일 has 132 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
공원명 has unique valuesUnique
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

Reproduction

Analysis started2023-12-11 06:14:28.392179
Analysis finished2023-12-11 06:14:29.980651
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:30.170145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1452
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

Unique132 ?
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%
11680-00083 1
 
0.8%
11680-00098 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%
Other values (122) 122
92.4%
2023-12-11T15:14:30.549323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 527
36.3%
1 331
22.8%
6 155
 
10.7%
8 155
 
10.7%
- 132
 
9.1%
2 34
 
2.3%
3 26
 
1.8%
4 23
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1320
90.9%
Dash Punctuation 132
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 527
39.9%
1 331
25.1%
6 155
 
11.7%
8 155
 
11.7%
2 34
 
2.6%
3 26
 
2.0%
4 23
 
1.7%
5 23
 
1.7%
7 23
 
1.7%
9 23
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 527
36.3%
1 331
22.8%
6 155
 
10.7%
8 155
 
10.7%
- 132
 
9.1%
2 34
 
2.3%
3 26
 
1.8%
4 23
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 527
36.3%
1 331
22.8%
6 155
 
10.7%
8 155
 
10.7%
- 132
 
9.1%
2 34
 
2.3%
3 26
 
1.8%
4 23
 
1.6%
5 23
 
1.6%
7 23
 
1.6%

공원명
Text

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:30.792411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18.5
Mean length6.75
Min length3

Characters and Unicode

Total characters891
Distinct characters142
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)100.0%

Sample

1st row신사근린공원
2nd row대청근린공원
3rd row늘푸른근린공원
4th row개포서근린공원
5th row개포동근린공원
ValueCountFrequency (%)
소공원 5
 
3.5%
대치청실아파트 2
 
1.4%
신사근린공원 1
 
0.7%
일원은행나무공원 1
 
0.7%
대치은행나무공원 1
 
0.7%
개포공원 1
 
0.7%
개포개나리공원 1
 
0.7%
개포은행나무공원 1
 
0.7%
개포목련공원 1
 
0.7%
일원목련공원 1
 
0.7%
Other values (127) 127
89.4%
2023-12-11T15:14:31.192040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 140
 
15.7%
공 129
 
14.5%
근 50
 
5.6%
린 48
 
5.4%
나 21
 
2.4%
개 20
 
2.2%
무 17
 
1.9%
치 15
 
1.7%
소 13
 
1.5%
은 13
 
1.5%
Other values (132) 425
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
94.5%
Decimal Number 27
 
3.0%
Space Separator 10
 
1.1%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Dash Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 140
 
16.6%
공 129
 
15.3%
근 50
 
5.9%
린 48
 
5.7%
나 21
 
2.5%
개 20
 
2.4%
무 17
 
2.0%
치 15
 
1.8%
소 13
 
1.5%
은 13
 
1.5%
Other values (117) 376
44.7%
Decimal Number
ValueCountFrequency (%)
2 7
25.9%
1 6
22.2%
6 4
14.8%
4 3
11.1%
7 2
 
7.4%
5 2
 
7.4%
3 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
94.5%
Common 47
 
5.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 140
 
16.6%
공 129
 
15.3%
근 50
 
5.9%
린 48
 
5.7%
나 21
 
2.5%
개 20
 
2.4%
무 17
 
2.0%
치 15
 
1.8%
소 13
 
1.5%
은 13
 
1.5%
Other values (117) 376
44.7%
Common
ValueCountFrequency (%)
10
21.3%
2 7
14.9%
1 6
12.8%
) 4
 
8.5%
6 4
 
8.5%
( 4
 
8.5%
4 3
 
6.4%
7 2
 
4.3%
5 2
 
4.3%
- 2
 
4.3%
Other values (3) 3
 
6.4%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
94.5%
ASCII 49
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 140
 
16.6%
공 129
 
15.3%
근 50
 
5.9%
린 48
 
5.7%
나 21
 
2.5%
개 20
 
2.4%
무 17
 
2.0%
치 15
 
1.8%
소 13
 
1.5%
은 13
 
1.5%
Other values (117) 376
44.7%
ASCII
ValueCountFrequency (%)
10
20.4%
2 7
14.3%
1 6
12.2%
) 4
 
8.2%
6 4
 
8.2%
( 4
 
8.2%
4 3
 
6.1%
7 2
 
4.1%
5 2
 
4.1%
- 2
 
4.1%
Other values (5) 5
10.2%

공원구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
어린이공원
64 
근린공원
54 
소공원
10 
수변공원
 
2
역사공원
 
1

Length

Max length5
Median length4
Mean length4.4090909
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 64
48.5%
근린공원 54
40.9%
소공원 10
 
7.6%
수변공원 2
 
1.5%
역사공원 1
 
0.8%
문화공원 1
 
0.8%

Length

2023-12-11T15:14:31.330327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:31.465241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 64
48.5%
근린공원 54
40.9%
소공원 10
 
7.6%
수변공원 2
 
1.5%
역사공원 1
 
0.8%
문화공원 1
 
0.8%

소재지도로명주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing108
Missing (%)81.8%
Memory size1.2 KiB
2023-12-11T15:14:31.742365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length32.583333
Min length29

Characters and Unicode

Total characters782
Distinct characters61
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

Unique24 ?
Unique (%)100.0%

Sample

1st row06328 서울특별시 강남구 개포로 509 (개포동)
2nd row06297 서울특별시 강남구 남부순환로378길 29 (도곡동)
3rd row06323 서울특별시 강남구 개포로 409-1 (개포동)
4th row06328 서울특별시 강남구 개포로 509 (개포동)
5th row06327 서울특별시 강남구 선릉로4길 30 (개포동)
ValueCountFrequency (%)
서울특별시 24
 
16.4%
강남구 24
 
16.4%
개포동 8
 
5.5%
개포로 3
 
2.1%
논현동 3
 
2.1%
역삼동 3
 
2.1%
06328 2
 
1.4%
수서동 2
 
1.4%
15 2
 
1.4%
20 2
 
1.4%
Other values (70) 73
50.0%
2023-12-11T15:14:32.082392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
18.2%
0 44
 
5.6%
6 30
 
3.8%
3 28
 
3.6%
2 28
 
3.6%
구 27
 
3.5%
1 26
 
3.3%
서 26
 
3.3%
남 26
 
3.3%
강 25
 
3.2%
Other values (51) 380
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
48.0%
Decimal Number 214
27.4%
Space Separator 142
 
18.2%
Open Punctuation 24
 
3.1%
Close Punctuation 24
 
3.1%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
 
7.2%
서 26
 
6.9%
남 26
 
6.9%
강 25
 
6.7%
동 24
 
6.4%
로 24
 
6.4%
시 24
 
6.4%
별 24
 
6.4%
특 24
 
6.4%
울 24
 
6.4%
Other values (36) 127
33.9%
Decimal Number
ValueCountFrequency (%)
0 44
20.6%
6 30
14.0%
3 28
13.1%
2 28
13.1%
1 26
12.1%
7 16
 
7.5%
4 14
 
6.5%
9 11
 
5.1%
5 10
 
4.7%
8 7
 
3.3%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 407
52.0%
Hangul 375
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
 
7.2%
서 26
 
6.9%
남 26
 
6.9%
강 25
 
6.7%
동 24
 
6.4%
로 24
 
6.4%
시 24
 
6.4%
별 24
 
6.4%
특 24
 
6.4%
울 24
 
6.4%
Other values (36) 127
33.9%
Common
ValueCountFrequency (%)
142
34.9%
0 44
 
10.8%
6 30
 
7.4%
3 28
 
6.9%
2 28
 
6.9%
1 26
 
6.4%
( 24
 
5.9%
) 24
 
5.9%
7 16
 
3.9%
4 14
 
3.4%
Other values (5) 31
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 407
52.0%
Hangul 375
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
34.9%
0 44
 
10.8%
6 30
 
7.4%
3 28
 
6.9%
2 28
 
6.9%
1 26
 
6.4%
( 24
 
5.9%
) 24
 
5.9%
7 16
 
3.9%
4 14
 
3.4%
Other values (5) 31
 
7.6%
Hangul
ValueCountFrequency (%)
구 27
 
7.2%
서 26
 
6.9%
남 26
 
6.9%
강 25
 
6.7%
동 24
 
6.4%
로 24
 
6.4%
시 24
 
6.4%
별 24
 
6.4%
특 24
 
6.4%
울 24
 
6.4%
Other values (36) 127
33.9%

소재지지번주소
Text

Distinct131
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T15:14:32.406066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length19.69697
Min length16

Characters and Unicode

Total characters2600
Distinct characters50
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

Unique130 ?
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 132
22.6%
강남구 131
22.4%
외 28
 
4.8%
역삼동 18
 
3.1%
개포동 16
 
2.7%
일원동 14
 
2.4%
세곡동 13
 
2.2%
수서동 10
 
1.7%
도곡동 9
 
1.5%
논현동 9
 
1.5%
Other values (156) 204
34.9%
2023-12-11T15:14:32.921167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
17.4%
서 142
 
5.5%
구 137
 
5.3%
특 132
 
5.1%
별 132
 
5.1%
시 132
 
5.1%
강 132
 
5.1%
울 132
 
5.1%
동 131
 
5.0%
남 131
 
5.0%
Other values (40) 947
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1548
59.5%
Decimal Number 518
 
19.9%
Space Separator 452
 
17.4%
Dash Punctuation 82
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 142
9.2%
구 137
8.9%
특 132
8.5%
별 132
8.5%
시 132
8.5%
강 132
8.5%
울 132
8.5%
동 131
8.5%
남 131
8.5%
곡 31
 
2.0%
Other values (28) 316
20.4%
Decimal Number
ValueCountFrequency (%)
1 107
20.7%
5 62
12.0%
2 61
11.8%
3 56
10.8%
7 53
10.2%
6 52
10.0%
4 42
 
8.1%
9 32
 
6.2%
0 29
 
5.6%
8 24
 
4.6%
Space Separator
ValueCountFrequency (%)
452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1548
59.5%
Common 1052
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 142
9.2%
구 137
8.9%
특 132
8.5%
별 132
8.5%
시 132
8.5%
강 132
8.5%
울 132
8.5%
동 131
8.5%
남 131
8.5%
곡 31
 
2.0%
Other values (28) 316
20.4%
Common
ValueCountFrequency (%)
452
43.0%
1 107
 
10.2%
- 82
 
7.8%
5 62
 
5.9%
2 61
 
5.8%
3 56
 
5.3%
7 53
 
5.0%
6 52
 
4.9%
4 42
 
4.0%
9 32
 
3.0%
Other values (2) 53
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1548
59.5%
ASCII 1052
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
452
43.0%
1 107
 
10.2%
- 82
 
7.8%
5 62
 
5.9%
2 61
 
5.8%
3 56
 
5.3%
7 53
 
5.0%
6 52
 
4.9%
4 42
 
4.0%
9 32
 
3.0%
Other values (2) 53
 
5.0%
Hangul
ValueCountFrequency (%)
서 142
9.2%
구 137
8.9%
특 132
8.5%
별 132
8.5%
시 132
8.5%
강 132
8.5%
울 132
8.5%
동 131
8.5%
남 131
8.5%
곡 31
 
2.0%
Other values (28) 316
20.4%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct126
Distinct (%)98.4%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean37.494152
Minimum37.462426
Maximum37.532527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:33.055016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.462426
5-th percentile37.467246
Q137.483257
median37.491692
Q337.505719
95-th percentile37.524796
Maximum37.532527
Range0.070101
Interquartile range (IQR)0.02246175

Descriptive statistics

Standard deviation0.01753513
Coefficient of variation (CV)0.00046767638
Kurtosis-0.6390728
Mean37.494152
Median Absolute Deviation (MAD)0.009681
Skewness0.3535862
Sum4799.2515
Variance0.00030748077
MonotonicityNot monotonic
2023-12-11T15:14:33.215099image/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%
37.484061 1
 
0.8%
37.482993 1
 
0.8%
37.480681 1
 
0.8%
37.496013 1
 
0.8%
37.491953 1
 
0.8%
37.484831 1
 
0.8%
37.49206 1
 
0.8%
37.491431 1
 
0.8%
Other values (116) 116
87.9%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
37.462426 1
0.8%
37.463874 1
0.8%
37.465072 1
0.8%
37.465664 1
0.8%
37.466333 1
0.8%
37.466445 1
0.8%
37.4671 1
0.8%
37.467518 1
0.8%
37.46856 1
0.8%
37.469014 1
0.8%
ValueCountFrequency (%)
37.532527 1
0.8%
37.531496 1
0.8%
37.530689 1
0.8%
37.527425 1
0.8%
37.526708 1
0.8%
37.526208 1
0.8%
37.525154 1
0.8%
37.524131 1
0.8%
37.523911 1
0.8%
37.52346 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct127
Distinct (%)99.2%
Missing4
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean127.05803
Minimum127.01367
Maximum127.10746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:33.397071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01367
5-th percentile127.02152
Q1127.03626
median127.05224
Q3127.08184
95-th percentile127.0994
Maximum127.10746
Range0.093789
Interquartile range (IQR)0.04558025

Descriptive statistics

Standard deviation0.02661934
Coefficient of variation (CV)0.00020950537
Kurtosis-1.2053005
Mean127.05803
Median Absolute Deviation (MAD)0.020988
Skewness0.23096638
Sum16263.428
Variance0.00070858928
MonotonicityNot monotonic
2023-12-11T15:14:33.569870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.067125 2
 
1.5%
127.082818 1
 
0.8%
127.067728 1
 
0.8%
127.071949 1
 
0.8%
127.067034 1
 
0.8%
127.064406 1
 
0.8%
127.090647 1
 
0.8%
127.079419 1
 
0.8%
127.076807 1
 
0.8%
127.068214 1
 
0.8%
Other values (117) 117
88.6%
(Missing) 4
 
3.0%
ValueCountFrequency (%)
127.013669 1
0.8%
127.016431 1
0.8%
127.017064 1
0.8%
127.017942 1
0.8%
127.020466 1
0.8%
127.020792 1
0.8%
127.021458 1
0.8%
127.021627 1
0.8%
127.021935 1
0.8%
127.021936 1
0.8%
ValueCountFrequency (%)
127.107458 1
0.8%
127.104715 1
0.8%
127.104617 1
0.8%
127.101805 1
0.8%
127.100111 1
0.8%
127.099851 1
0.8%
127.09945 1
0.8%
127.099314 1
0.8%
127.098339 1
0.8%
127.097867 1
0.8%

공원면적
Real number (ℝ)

Distinct127
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16256.152
Minimum80
Maximum519782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T15:14:33.759410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile591.455
Q11330.65
median1670.5
Q310401.625
95-th percentile66676.915
Maximum519782
Range519702
Interquartile range (IQR)9070.975

Descriptive statistics

Standard deviation55524.447
Coefficient of variation (CV)3.4155959
Kurtosis55.642186
Mean16256.152
Median Absolute Deviation (MAD)873.7
Skewness6.9226237
Sum2145812.1
Variance3.0829642 × 109
MonotonicityNot monotonic
2023-12-11T15:14:33.967093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.4 2
 
1.5%
1500.1 2
 
1.5%
1500.2 2
 
1.5%
1500.6 2
 
1.5%
1500.0 2
 
1.5%
1500.3 1
 
0.8%
4793.8 1
 
0.8%
1641.7 1
 
0.8%
1639.1 1
 
0.8%
1476.3 1
 
0.8%
Other values (117) 117
88.6%
ValueCountFrequency (%)
80.0 1
0.8%
306.0 1
0.8%
386.0 1
0.8%
427.6 1
0.8%
468.0 1
0.8%
558.5 1
0.8%
576.0 1
0.8%
604.1 1
0.8%
610.0 1
0.8%
650.0 1
0.8%
ValueCountFrequency (%)
519782.0 1
0.8%
254648.0 1
0.8%
232078.2 1
0.8%
101513.0 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%

공원보유시설(운동시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(유희시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(편익시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(교양시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

지정고시일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing132
Missing (%)100.0%
Memory size1.3 KiB

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
강남구청 공원녹지과
132 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구청 공원녹지과
2nd row강남구청 공원녹지과
3rd row강남구청 공원녹지과
4th row강남구청 공원녹지과
5th row강남구청 공원녹지과

Common Values

ValueCountFrequency (%)
강남구청 공원녹지과 132
100.0%

Length

2023-12-11T15:14:34.126731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:34.238985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구청 132
50.0%
공원녹지과 132
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
02-3423-6245
68 
02-3423-6247
64 

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
51.5%
02-3423-6247 64
48.5%

Length

2023-12-11T15:14:34.688755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:34.796819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3423-6245 68
51.5%
02-3423-6247 64
48.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-04-23
132 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-04-23
2nd row2018-04-23
3rd row2018-04-23
4th row2018-04-23
5th row2018-04-23

Common Values

ValueCountFrequency (%)
2018-04-23 132
100.0%

Length

2023-12-11T15:14:34.920994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T15:14:35.048424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-04-23 132
100.0%

Interactions

2023-12-11T15:14:29.312637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:28.824885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:29.079193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:29.395894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:28.911804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:29.165597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:29.473525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:28.990928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T15:14:29.239223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T15:14:35.159802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분소재지도로명주소위도경도공원면적전화번호
공원구분1.0001.0000.2950.1490.3461.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
위도0.2951.0001.0000.7950.0000.000
경도0.1491.0000.7951.0000.2990.365
공원면적0.3461.0000.0000.2991.0000.296
전화번호1.0001.0000.0000.3650.2961.000
2023-12-11T15:14:35.312742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분전화번호
공원구분1.0000.984
전화번호0.9841.000
2023-12-11T15:14:35.460342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분전화번호
위도1.000-0.774-0.1730.1560.000
경도-0.7741.0000.1350.0740.270
공원면적-0.1730.1351.0000.2270.195
공원구분0.1560.0740.2271.0000.984
전화번호0.0000.2700.1950.9841.000

Missing values

2023-12-11T15:14:29.595992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:14:29.795886image/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.
2023-12-11T15:14:29.922091image/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>강남구청 공원녹지과02-3423-62452018-04-23
111680-00003대청근린공원근린공원<NA>서울특별시 강남구 일원동 62137.492796127.08281814089.1<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
211680-00004늘푸른근린공원근린공원<NA>서울특별시 강남구 일원동 69037.489885127.07743611410.3<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
311680-00005개포서근린공원근린공원<NA>서울특별시 강남구 개포동 180 외 2필지37.488628127.06414211219.2<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
411680-00006개포동근린공원근린공원06328 서울특별시 강남구 개포로 509 (개포동)서울특별시 강남구 개포동 182-1 외 2필지37.489686127.0595269705.6<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
511680-00007대치근린공원근린공원<NA>서울특별시 강남구 대치동 51237.495123127.06110910408.9<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
611680-00008늘벗근린공원근린공원<NA>서울특별시 강남구 대치동 50137.489623127.04839419812.3<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
711680-00009독골근린공원근린공원06297 서울특별시 강남구 남부순환로378길 29 (도곡동)서울특별시 강남구 도곡동 46137.484552127.0380710022.9<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
811680-00010포이근린공원근린공원<NA>서울특별시 강남구 개포동 1239-21 외 5필지37.479681127.03603716811.4<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
911680-00011청룡근린공원근린공원<NA>서울특별시 강남구 개포동 649-137.485594127.0456059367.0<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
12211680-00123근린공원7호근린공원<NA>서울특별시 강남구 자곡동 627번지 외 137.471058127.09280412093.0<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12311680-00124수변공원1호수변공원<NA>서울특별시 강남구 세곡동604-1 외37.465664127.09718110399.2<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12411680-00125수변공원2호수변공원<NA>서울특별시 강남구 세곡동 53737.465072127.0937553713.3<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12511680-00126소공원소공원<NA>서울특별시 강남구 세곡동 54937.467518127.0998511199.2<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12611680-00127대치청실아파트 소공원1소공원<NA>서울특별시 강나구 대치동 63337.494298127.058323845.0<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12711680-00128대치청실아파트 소공원2소공원<NA>서울특별시 강남구 대치동 61037.495443127.061029610.0<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12811680-00129역삼동개나리6차아파트 소공원소공원<NA>서울특별시 강남구 역삼동 711-5<NA><NA>576.0<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
12911680-00130도곡진달래1차 소공원소공원<NA>서울특별시 강남구 도곡동 538-4<NA><NA>558.5<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62452018-04-23
13011680-00131도담공원어린이공원<NA>서울특별시 강남구 세곡동 548<NA><NA>4282.7<NA><NA><NA><NA><NA><NA>강남구청 공원녹지과02-3423-62472018-04-23
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