Overview

Dataset statistics

Number of variables17
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory141.2 B

Variable types

Categorical8
Text3
Numeric2
DateTime4

Dataset

Description서비스구분,서비스ID,대분류명,소분류명,서비스상태,서비스명,결제방법,장소명,서비스대상,바로가기URL,장소X좌표,장소Y좌표,서비스개시시작일시,서비스개시종료일시,접수시작일시,접수종료일시,지역명
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-12204/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
지역명 has constant value ""Constant
장소X좌표 is highly overall correlated with 소분류명 and 1 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 소분류명 and 1 other fieldsHigh correlation
소분류명 is highly overall correlated with 장소X좌표 and 4 other fieldsHigh correlation
결제방법 is highly overall correlated with 소분류명 and 2 other fieldsHigh correlation
장소명 is highly overall correlated with 장소X좌표 and 4 other fieldsHigh correlation
서비스대상 is highly overall correlated with 소분류명 and 2 other fieldsHigh correlation
결제방법 is highly imbalanced (71.9%)Imbalance
서비스대상 is highly imbalanced (75.3%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-03 22:53:23.497016
Analysis finished2024-05-03 22:53:27.895265
Duration4.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
자체
41 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체 41
100.0%

Length

2024-05-03T22:53:28.069983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:28.477075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 41
100.0%

서비스ID
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-03T22:53:28.980169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters779
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st rowS210401100008601453
2nd rowS240408163550656980
3rd rowS240408171554290339
4th rowS231101082932586764
5th rowS231101083528397987
ValueCountFrequency (%)
s210401100008601453 1
 
2.4%
s231218163841915269 1
 
2.4%
s231205134311211700 1
 
2.4%
s231205145251029427 1
 
2.4%
s231205153444085015 1
 
2.4%
s231205154521022518 1
 
2.4%
s120423174310156240 1
 
2.4%
s210409130727046749 1
 
2.4%
s231030143826835456 1
 
2.4%
s231030163624980083 1
 
2.4%
Other values (31) 31
75.6%
2024-05-03T22:53:30.178727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 123
15.8%
2 118
15.1%
0 101
13.0%
3 79
10.1%
4 77
9.9%
5 67
8.6%
8 47
 
6.0%
6 43
 
5.5%
9 43
 
5.5%
S 41
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 738
94.7%
Uppercase Letter 41
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 123
16.7%
2 118
16.0%
0 101
13.7%
3 79
10.7%
4 77
10.4%
5 67
9.1%
8 47
 
6.4%
6 43
 
5.8%
9 43
 
5.8%
7 40
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
S 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 738
94.7%
Latin 41
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 123
16.7%
2 118
16.0%
0 101
13.7%
3 79
10.7%
4 77
10.4%
5 67
9.1%
8 47
 
6.4%
6 43
 
5.8%
9 43
 
5.8%
7 40
 
5.4%
Latin
ValueCountFrequency (%)
S 41
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 123
15.8%
2 118
15.1%
0 101
13.0%
3 79
10.1%
4 77
9.9%
5 67
8.6%
8 47
 
6.0%
6 43
 
5.5%
9 43
 
5.5%
S 41
 
5.3%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
체육시설
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육시설 41
100.0%

Length

2024-05-03T22:53:30.692474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:30.997257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 41
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
풋살장
11 
축구장
8 
테니스장
8 
야구장
5 
농구장
3 
Other values (4)
6 

Length

Max length6
Median length3
Mean length3.2926829
Min length3

Unique

Unique2 ?
Unique (%)4.9%

Sample

1st row축구장
2nd row풋살장
3rd row풋살장
4th row농구장
5th row농구장

Common Values

ValueCountFrequency (%)
풋살장 11
26.8%
축구장 8
19.5%
테니스장 8
19.5%
야구장 5
12.2%
농구장 3
 
7.3%
배구장 2
 
4.9%
족구장 2
 
4.9%
다목적경기장 1
 
2.4%
교육시설 1
 
2.4%

Length

2024-05-03T22:53:31.323142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:31.707155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
풋살장 11
26.8%
축구장 8
19.5%
테니스장 8
19.5%
야구장 5
12.2%
농구장 3
 
7.3%
배구장 2
 
4.9%
족구장 2
 
4.9%
다목적경기장 1
 
2.4%
교육시설 1
 
2.4%

서비스상태
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
접수중
31 
예약마감
8 
접수종료
 
2

Length

Max length4
Median length3
Mean length3.2439024
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 31
75.6%
예약마감 8
 
19.5%
접수종료 2
 
4.9%

Length

2024-05-03T22:53:32.363058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:32.920469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 31
75.6%
예약마감 8
 
19.5%
접수종료 2
 
4.9%

서비스명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-03T22:53:33.541364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length27.560976
Min length16

Characters and Unicode

Total characters1130
Distinct characters115
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row○ [평일] (주간) 마포 난지천 인조잔디축구장
2nd row5월 [평일]월드컵난지천공원 풋살장 대여 - 4월15일(월) 오후2시 접수
3rd row5월 [공휴일주말]월드컵난지천공원 풋살장 대여 - 4월15일(월) 오후2시 접수
4th row2024년 농구장1-망원한강공원
5th row2024년 농구장2-망원한강공원
ValueCountFrequency (%)
2024년 27
 
13.9%
월드컵 8
 
4.1%
5월 8
 
4.1%
8
 
4.1%
4월15일(월 8
 
4.1%
15시 6
 
3.1%
예약 6
 
3.1%
이용 6
 
3.1%
테니스장 6
 
3.1%
월드컵공원 6
 
3.1%
Other values (67) 105
54.1%
2024-05-03T22:53:34.688753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
13.5%
2 60
 
5.3%
월 43
 
3.8%
장 42
 
3.7%
원 36
 
3.2%
4 35
 
3.1%
일 35
 
3.1%
( 34
 
3.0%
) 34
 
3.0%
공 28
 
2.5%
Other values (105) 630
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 664
58.8%
Decimal Number 165
 
14.6%
Space Separator 153
 
13.5%
Open Punctuation 45
 
4.0%
Close Punctuation 45
 
4.0%
Dash Punctuation 22
 
1.9%
Other Punctuation 14
 
1.2%
Lowercase Letter 12
 
1.1%
Uppercase Letter 6
 
0.5%
Other Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
월 43
 
6.5%
장 42
 
6.3%
원 36
 
5.4%
일 35
 
5.3%
공 28
 
4.2%
년 27
 
4.1%
구 25
 
3.8%
지 22
 
3.3%
간 19
 
2.9%
컵 17
 
2.6%
Other values (79) 370
55.7%
Decimal Number
ValueCountFrequency (%)
2 60
36.4%
4 35
21.2%
0 27
16.4%
5 23
 
13.9%
1 20
 
12.1%
Lowercase Letter
ValueCountFrequency (%)
d 4
33.3%
t 2
16.7%
o 2
16.7%
i 2
16.7%
m 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
35.7%
/ 5
35.7%
; 2
 
14.3%
& 2
 
14.3%
Other Symbol
ValueCountFrequency (%)
○ 1
33.3%
■ 1
33.3%
△ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 34
75.6%
[ 11
 
24.4%
Close Punctuation
ValueCountFrequency (%)
) 34
75.6%
] 11
 
24.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 3
50.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 664
58.8%
Common 448
39.6%
Latin 18
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
월 43
 
6.5%
장 42
 
6.3%
원 36
 
5.4%
일 35
 
5.3%
공 28
 
4.2%
년 27
 
4.1%
구 25
 
3.8%
지 22
 
3.3%
간 19
 
2.9%
컵 17
 
2.6%
Other values (79) 370
55.7%
Common
ValueCountFrequency (%)
153
34.2%
2 60
 
13.4%
4 35
 
7.8%
( 34
 
7.6%
) 34
 
7.6%
0 27
 
6.0%
5 23
 
5.1%
- 22
 
4.9%
1 20
 
4.5%
[ 11
 
2.5%
Other values (9) 29
 
6.5%
Latin
ValueCountFrequency (%)
d 4
22.2%
B 3
16.7%
A 3
16.7%
t 2
11.1%
o 2
11.1%
i 2
11.1%
m 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 664
58.8%
ASCII 463
41.0%
Geometric Shapes 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
33.0%
2 60
 
13.0%
4 35
 
7.6%
( 34
 
7.3%
) 34
 
7.3%
0 27
 
5.8%
5 23
 
5.0%
- 22
 
4.8%
1 20
 
4.3%
[ 11
 
2.4%
Other values (13) 44
 
9.5%
Hangul
ValueCountFrequency (%)
월 43
 
6.5%
장 42
 
6.3%
원 36
 
5.4%
일 35
 
5.3%
공 28
 
4.2%
년 27
 
4.1%
구 25
 
3.8%
지 22
 
3.3%
간 19
 
2.9%
컵 17
 
2.6%
Other values (79) 370
55.7%
Geometric Shapes
ValueCountFrequency (%)
○ 1
33.3%
■ 1
33.3%
△ 1
33.3%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
유료
38 
유료(요금안내문의)
 
2
무료
 
1

Length

Max length10
Median length2
Mean length2.3902439
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
유료 38
92.7%
유료(요금안내문의) 2
 
4.9%
무료 1
 
2.4%

Length

2024-05-03T22:53:35.143055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:35.484676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 38
92.7%
유료(요금안내문의 2
 
4.9%
무료 1
 
2.4%

장소명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
월드컵공원 테니스장
6 
서울월드컵경기장>보조구장
4 
망원유수지 풋살장
4 
서울월드컵경기장>풋살구장
4 
난지한강공원>야구장 1
 
2
Other values (15)
21 

Length

Max length25
Median length15
Mean length12.073171
Min length4

Unique

Unique9 ?
Unique (%)22.0%

Sample

1st row서울특별시 산악문화체험센터>난지천인조잔디축구장
2nd row서울특별시 산악문화체험센터>난지천 공원 풋살장
3rd row서울특별시 산악문화체험센터>난지천 공원 풋살장
4th row망원한강공원>농구장(1,2)
5th row망원한강공원>농구장(1,2)

Common Values

ValueCountFrequency (%)
월드컵공원 테니스장 6
14.6%
서울월드컵경기장>보조구장 4
 
9.8%
망원유수지 풋살장 4
 
9.8%
서울월드컵경기장>풋살구장 4
 
9.8%
난지한강공원>야구장 1 2
 
4.9%
서울특별시 산악문화체험센터>난지천 공원 풋살장 2
 
4.9%
난지한강공원>야구장 2 2
 
4.9%
난지천 인조잔디 축구장 2
 
4.9%
망원한강공원>배구장 2
 
4.9%
망원유수지 소프트테니스장 2
 
4.9%
Other values (10) 11
26.8%

Length

2024-05-03T22:53:35.847959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
풋살장 7
 
10.1%
월드컵공원 6
 
8.7%
테니스장 6
 
8.7%
망원유수지 6
 
8.7%
서울월드컵경기장>보조구장 4
 
5.8%
서울월드컵경기장>풋살구장 4
 
5.8%
난지한강공원>야구장 4
 
5.8%
서울특별시 3
 
4.3%
망원한강공원>농구장(1,2 2
 
2.9%
소프트테니스장 2
 
2.9%
Other values (17) 25
36.2%

서비스대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
제한없음
38 
어린이
 
1
유아, 제한없음
 
1
제한없음(클라이밍 시설)
 
1

Length

Max length14
Median length5
Mean length5.2926829
Min length4

Unique

Unique3 ?
Unique (%)7.3%

Sample

1st row 제한없음
2nd row 제한없음
3rd row 제한없음
4th row 제한없음
5th row 제한없음

Common Values

ValueCountFrequency (%)
제한없음 38
92.7%
어린이 1
 
2.4%
유아, 제한없음 1
 
2.4%
제한없음(클라이밍 시설) 1
 
2.4%

Length

2024-05-03T22:53:36.258983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:36.586677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 39
90.7%
어린이 1
 
2.3%
유아 1
 
2.3%
제한없음(클라이밍 1
 
2.3%
시설 1
 
2.3%

바로가기URL
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-05-03T22:53:37.312735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters3772
Distinct characters39
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S210401100008601453
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240408163550656980
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240408171554290339
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101082932586764
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101083528397987
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s210401100008601453 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231218163841915269 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231205134311211700 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231205145251029427 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231205153444085015 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231205154521022518 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s120423174310156240 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s210409130727046749 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030143826835456 1
 
2.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030163624980083 1
 
2.4%
Other values (31) 31
75.6%
2024-05-03T22:53:38.517756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 410
 
10.9%
s 287
 
7.6%
r 205
 
5.4%
/ 205
 
5.4%
. 164
 
4.3%
o 164
 
4.3%
t 164
 
4.3%
v 164
 
4.3%
i 123
 
3.3%
1 123
 
3.3%
Other values (29) 1763
46.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2337
62.0%
Decimal Number 738
 
19.6%
Other Punctuation 451
 
12.0%
Uppercase Letter 123
 
3.3%
Connector Punctuation 82
 
2.2%
Math Symbol 41
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 410
17.5%
s 287
12.3%
r 205
 
8.8%
o 164
 
7.0%
t 164
 
7.0%
v 164
 
7.0%
i 123
 
5.3%
d 82
 
3.5%
c 82
 
3.5%
w 82
 
3.5%
Other values (10) 574
24.6%
Decimal Number
ValueCountFrequency (%)
1 123
16.7%
2 118
16.0%
0 101
13.7%
3 79
10.7%
4 77
10.4%
5 67
9.1%
8 47
 
6.4%
6 43
 
5.8%
9 43
 
5.8%
7 40
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 205
45.5%
. 164
36.4%
? 41
 
9.1%
: 41
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 41
33.3%
V 41
33.3%
R 41
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 82
100.0%
Math Symbol
ValueCountFrequency (%)
= 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2460
65.2%
Common 1312
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 410
16.7%
s 287
11.7%
r 205
 
8.3%
o 164
 
6.7%
t 164
 
6.7%
v 164
 
6.7%
i 123
 
5.0%
d 82
 
3.3%
c 82
 
3.3%
w 82
 
3.3%
Other values (13) 697
28.3%
Common
ValueCountFrequency (%)
/ 205
15.6%
. 164
12.5%
1 123
9.4%
2 118
9.0%
0 101
7.7%
_ 82
 
6.2%
3 79
 
6.0%
4 77
 
5.9%
5 67
 
5.1%
8 47
 
3.6%
Other values (6) 249
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 410
 
10.9%
s 287
 
7.6%
r 205
 
5.4%
/ 205
 
5.4%
. 164
 
4.3%
o 164
 
4.3%
t 164
 
4.3%
v 164
 
4.3%
i 123
 
3.3%
1 123
 
3.3%
Other values (29) 1763
46.7%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89345
Minimum126.87419
Maximum126.93808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-03T22:53:38.904074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.87419
5-th percentile126.87548
Q1126.8839
median126.89791
Q3126.89837
95-th percentile126.901
Maximum126.93808
Range0.063886728
Interquartile range (IQR)0.014466749

Descriptive statistics

Standard deviation0.011484781
Coefficient of variation (CV)9.050728 × 10-5
Kurtosis4.5131815
Mean126.89345
Median Absolute Deviation (MAD)0.0010936699
Skewness0.91143425
Sum5202.6314
Variance0.00013190019
MonotonicityNot monotonic
2024-05-03T22:53:39.320865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
126.89791 6
14.6%
126.89900366993466 4
 
9.8%
126.8983486094952 4
 
9.8%
126.8969651758 4
 
9.8%
126.90099504970756 2
 
4.9%
126.89970603628323 2
 
4.9%
126.89707 2
 
4.9%
126.87548491960612 2
 
4.9%
126.8741889796174 2
 
4.9%
126.88127742009968 2
 
4.9%
Other values (10) 11
26.8%
ValueCountFrequency (%)
126.8741889796174 2
4.9%
126.87548491960612 2
4.9%
126.87994 1
 
2.4%
126.88060695325068 1
 
2.4%
126.88127715054247 1
 
2.4%
126.88127742009968 2
4.9%
126.88147589231296 1
 
2.4%
126.88390026512282 1
 
2.4%
126.8840081125396 2
4.9%
126.8969651758 4
9.8%
ValueCountFrequency (%)
126.9380757073611 1
 
2.4%
126.90099504970756 2
 
4.9%
126.90030305116998 1
 
2.4%
126.89970603628323 2
 
4.9%
126.89900366993466 4
9.8%
126.8983670136785 1
 
2.4%
126.8983486094952 4
9.8%
126.89791 6
14.6%
126.897273034482 1
 
2.4%
126.89707 2
 
4.9%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.564018
Minimum37.541101
Maximum37.575771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-05-03T22:53:39.749090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.541101
5-th percentile37.551001
Q137.556764
median37.564716
Q337.571441
95-th percentile37.574238
Maximum37.575771
Range0.03467045
Interquartile range (IQR)0.014676621

Descriptive statistics

Standard deviation0.0085996219
Coefficient of variation (CV)0.00022893243
Kurtosis-0.37784139
Mean37.564018
Median Absolute Deviation (MAD)0.0078242743
Skewness-0.61135189
Sum1540.1248
Variance7.3953497 × 10-5
MonotonicityNot monotonic
2024-05-03T22:53:40.194011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
37.56335 6
14.6%
37.57254029207188 4
 
9.8%
37.571440516252295 4
 
9.8%
37.556763895 4
 
9.8%
37.551000958801175 2
 
4.9%
37.55188014574133 2
 
4.9%
37.55676 2
 
4.9%
37.56739657402308 2
 
4.9%
37.56800967894786 2
 
4.9%
37.57577125294095 2
 
4.9%
Other values (10) 11
26.8%
ValueCountFrequency (%)
37.541100802721736 1
 
2.4%
37.551000958801175 2
 
4.9%
37.551414835463845 1
 
2.4%
37.55188014574133 2
 
4.9%
37.552894425352406 1
 
2.4%
37.55676 2
 
4.9%
37.556763895 4
9.8%
37.56335 6
14.6%
37.56464495168799 1
 
2.4%
37.56471601773345 1
 
2.4%
ValueCountFrequency (%)
37.57577125294095 2
4.9%
37.574238294219086 1
 
2.4%
37.574086234398735 2
4.9%
37.57254029207188 4
9.8%
37.571440516252295 4
9.8%
37.56938 1
 
2.4%
37.5682884450841 1
 
2.4%
37.56800967894786 2
4.9%
37.56739657402308 2
4.9%
37.56519082217738 1
 
2.4%

서비스개시시작일시
Date

Distinct11
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2022-01-01 00:00:00
Maximum2024-04-22 00:00:00
2024-05-03T22:53:40.616635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:41.047319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

서비스개시종료일시
Date

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2024-05-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-03T22:53:41.464953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:41.895453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

접수시작일시
Date

Distinct13
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-12-01 14:00:00
Maximum2024-05-01 09:00:00
2024-05-03T22:53:42.408975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:42.890623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

접수종료일시
Date

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2024-04-16 06:04:00
Maximum2024-12-31 12:12:00
2024-05-03T22:53:43.254375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:43.943083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
마포구
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마포구 41
100.0%

Length

2024-05-03T22:53:44.436257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:53:44.782526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마포구 41
100.0%

Interactions

2024-05-03T22:53:25.930416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:25.301373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:26.198006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T22:53:25.565900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T22:53:45.310572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.0001.0000.9071.0000.8941.0000.7860.8450.8910.7500.9110.921
서비스상태1.0000.0001.0001.0000.0000.1800.0001.0000.0000.0000.8470.1690.8960.965
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.9070.0001.0001.0001.0000.6531.0000.0000.0000.7590.0000.7500.868
장소명1.0001.0000.1801.0001.0001.0001.0001.0001.0001.0000.9771.0000.9810.985
서비스대상1.0000.8940.0001.0000.6531.0001.0001.0000.0000.5230.8840.0000.8860.965
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.7860.0001.0000.0001.0000.0001.0001.0000.8960.7190.3460.7480.759
장소Y좌표1.0000.8450.0001.0000.0001.0000.5231.0000.8961.0000.8610.9560.8870.916
서비스개시시작일시1.0000.8910.8471.0000.7590.9770.8841.0000.7190.8611.0001.0000.9830.985
서비스개시종료일시1.0000.7500.1691.0000.0001.0000.0001.0000.3460.9561.0001.0000.9871.000
접수시작일시1.0000.9110.8961.0000.7500.9810.8861.0000.7480.8870.9830.9871.0001.000
접수종료일시1.0000.9210.9651.0000.8680.9850.9651.0000.7590.9160.9851.0001.0001.000
2024-05-03T22:53:45.871839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명서비스상태결제방법서비스대상장소명
소분류명1.0000.0000.5920.7540.810
서비스상태0.0001.0000.0000.0000.000
결제방법0.5920.0001.0000.6690.743
서비스대상0.7540.0000.6691.0000.753
장소명0.8100.0000.7430.7531.000
2024-05-03T22:53:46.360884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법장소명서비스대상
장소X좌표1.000-0.3790.5690.0000.0000.7640.000
장소Y좌표-0.3791.0000.6140.0000.0000.7980.231
소분류명0.5690.6141.0000.0000.5920.8100.754
서비스상태0.0000.0000.0001.0000.0000.0000.000
결제방법0.0000.0000.5920.0001.0000.7430.669
장소명0.7640.7980.8100.0000.7431.0000.753
서비스대상0.0000.2310.7540.0000.6690.7531.000

Missing values

2024-05-03T22:53:26.634194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T22:53:27.548424image/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

서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
0자체S210401100008601453체육시설축구장접수중○ [평일] (주간) 마포 난지천 인조잔디축구장유료서울특별시 산악문화체험센터>난지천인조잔디축구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S210401100008601453126.883937.5742382024-01-01 00:00:00.02024-12-31 00:00:00.02024-01-30 00:00:00.02024-05-31 11:05:00.0마포구
1자체S240408163550656980체육시설풋살장접수중5월 [평일]월드컵난지천공원 풋살장 대여 - 4월15일(월) 오후2시 접수유료서울특별시 산악문화체험센터>난지천 공원 풋살장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240408163550656980126.88127737.5757712024-04-15 00:00:00.02024-05-31 00:00:00.02024-04-15 14:00:00.02024-05-31 03:05:00.0마포구
2자체S240408171554290339체육시설풋살장접수중5월 [공휴일주말]월드컵난지천공원 풋살장 대여 - 4월15일(월) 오후2시 접수유료서울특별시 산악문화체험센터>난지천 공원 풋살장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240408171554290339126.88127737.5757712024-04-15 00:00:00.02024-05-31 00:00:00.02024-04-15 14:00:00.02024-05-31 03:05:00.0마포구
3자체S231101082932586764체육시설농구장접수중2024년 농구장1-망원한강공원유료망원한강공원>농구장(1,2)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101082932586764126.90099537.5510012023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0마포구
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서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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