Overview

Dataset statistics

Number of variables17
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory142.6 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-12096/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
서비스대상 has constant value ""Constant
지역명 has constant value ""Constant
장소X좌표 is highly overall correlated with 소분류명 and 3 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 소분류명 and 2 other fieldsHigh correlation
소분류명 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
서비스상태 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
결제방법 is highly overall correlated with 장소X좌표 and 4 other fieldsHigh correlation
장소명 is highly overall correlated with 장소X좌표 and 4 other fieldsHigh correlation
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 09:04:23.294729
Analysis finished2024-05-11 09:04:28.535343
Duration5.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
자체
29 

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 29
100.0%

Length

2024-05-11T09:04:28.761299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:29.131187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 29
100.0%

서비스ID
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T09:04:29.803824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters551
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowS231108093742281723
2nd rowS231108104359716676
3rd rowS231108110459780710
4th rowS231108111805019183
5th rowS231108112521319582
ValueCountFrequency (%)
s231108093742281723 1
 
3.4%
s231121152242907411 1
 
3.4%
s231127180612701976 1
 
3.4%
s231127180318293666 1
 
3.4%
s231127175843091098 1
 
3.4%
s231127174944025714 1
 
3.4%
s231127174523276322 1
 
3.4%
s231124150921076258 1
 
3.4%
s231124150238858287 1
 
3.4%
s231124143254807780 1
 
3.4%
Other values (19) 19
65.5%
2024-05-11T09:04:30.946250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 121
22.0%
2 90
16.3%
3 57
10.3%
0 55
10.0%
8 47
 
8.5%
7 42
 
7.6%
4 31
 
5.6%
5 31
 
5.6%
S 29
 
5.3%
6 25
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 522
94.7%
Uppercase Letter 29
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 121
23.2%
2 90
17.2%
3 57
10.9%
0 55
10.5%
8 47
 
9.0%
7 42
 
8.0%
4 31
 
5.9%
5 31
 
5.9%
6 25
 
4.8%
9 23
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
S 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 522
94.7%
Latin 29
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 121
23.2%
2 90
17.2%
3 57
10.9%
0 55
10.5%
8 47
 
9.0%
7 42
 
8.0%
4 31
 
5.9%
5 31
 
5.9%
6 25
 
4.8%
9 23
 
4.4%
Latin
ValueCountFrequency (%)
S 29
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 121
22.0%
2 90
16.3%
3 57
10.3%
0 55
10.0%
8 47
 
8.5%
7 42
 
7.6%
4 31
 
5.6%
5 31
 
5.6%
S 29
 
5.3%
6 25
 
4.5%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
체육시설
29 

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 29
100.0%

Length

2024-05-11T09:04:31.498442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:31.913374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 29
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
테니스장
16 
다목적경기장
4 
배드민턴장
3 
족구장
2 
축구장
 
1
Other values (3)
3 

Length

Max length6
Median length4
Mean length4.2068966
Min length3

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row테니스장
2nd row테니스장
3rd row테니스장
4th row테니스장
5th row다목적경기장

Common Values

ValueCountFrequency (%)
테니스장 16
55.2%
다목적경기장 4
 
13.8%
배드민턴장 3
 
10.3%
족구장 2
 
6.9%
축구장 1
 
3.4%
풋살장 1
 
3.4%
교육시설 1
 
3.4%
농구장 1
 
3.4%

Length

2024-05-11T09:04:32.282999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:32.670089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 16
55.2%
다목적경기장 4
 
13.8%
배드민턴장 3
 
10.3%
족구장 2
 
6.9%
축구장 1
 
3.4%
풋살장 1
 
3.4%
교육시설 1
 
3.4%
농구장 1
 
3.4%

서비스상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
접수중
15 
예약마감
13 
접수종료
 
1

Length

Max length4
Median length3
Mean length3.4827586
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 15
51.7%
예약마감 13
44.8%
접수종료 1
 
3.4%

Length

2024-05-11T09:04:33.306413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:33.628479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 15
51.7%
예약마감 13
44.8%
접수종료 1
 
3.4%

서비스명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T09:04:34.068128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length33.724138
Min length13

Characters and Unicode

Total characters978
Distinct characters86
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row테니스장1 (평일) - 2024년 응봉공원(대현산배수지)
2nd row테니스장2 (평일) - 2024년 응봉공원(대현산배수지)
3rd row테니스장1 (토/일/공휴일) - 2024년 응봉공원(대현산배수지)
4th row테니스장2 (토/일/공휴일) - 2024년 응봉공원(대현산배수지)
5th row다목적구장 - 2024년 응봉공원(대현산배수지)
ValueCountFrequency (%)
16
 
8.4%
1 14
 
7.4%
2024 13
 
6.8%
테니스장 12
 
6.3%
2024년 12
 
6.3%
이용기간 12
 
6.3%
1~12 12
 
6.3%
31 12
 
6.3%
코트 10
 
5.3%
서울숲 10
 
5.3%
Other values (33) 67
35.3%
2024-05-11T09:04:35.089864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
16.5%
2 74
 
7.6%
1 58
 
5.9%
. 39
 
4.0%
4 30
 
3.1%
0 28
 
2.9%
장 28
 
2.9%
일 26
 
2.7%
) 25
 
2.6%
( 25
 
2.6%
Other values (76) 484
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
46.4%
Decimal Number 208
21.3%
Space Separator 161
 
16.5%
Other Punctuation 69
 
7.1%
Close Punctuation 25
 
2.6%
Open Punctuation 25
 
2.6%
Dash Punctuation 19
 
1.9%
Math Symbol 13
 
1.3%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 28
 
6.2%
일 26
 
5.7%
니 16
 
3.5%
테 16
 
3.5%
스 16
 
3.5%
공 16
 
3.5%
년 15
 
3.3%
서 13
 
2.9%
울 13
 
2.9%
트 13
 
2.9%
Other values (60) 282
62.1%
Decimal Number
ValueCountFrequency (%)
2 74
35.6%
1 58
27.9%
4 30
14.4%
0 28
 
13.5%
3 16
 
7.7%
5 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 39
56.5%
, 16
23.2%
/ 14
 
20.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 520
53.2%
Hangul 454
46.4%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 28
 
6.2%
일 26
 
5.7%
니 16
 
3.5%
테 16
 
3.5%
스 16
 
3.5%
공 16
 
3.5%
년 15
 
3.3%
서 13
 
2.9%
울 13
 
2.9%
트 13
 
2.9%
Other values (60) 282
62.1%
Common
ValueCountFrequency (%)
161
31.0%
2 74
14.2%
1 58
 
11.2%
. 39
 
7.5%
4 30
 
5.8%
0 28
 
5.4%
) 25
 
4.8%
( 25
 
4.8%
- 19
 
3.7%
, 16
 
3.1%
Other values (4) 45
 
8.7%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 524
53.6%
Hangul 454
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
30.7%
2 74
14.1%
1 58
 
11.1%
. 39
 
7.4%
4 30
 
5.7%
0 28
 
5.3%
) 25
 
4.8%
( 25
 
4.8%
- 19
 
3.6%
, 16
 
3.1%
Other values (6) 49
 
9.4%
Hangul
ValueCountFrequency (%)
장 28
 
6.2%
일 26
 
5.7%
니 16
 
3.5%
테 16
 
3.5%
스 16
 
3.5%
공 16
 
3.5%
년 15
 
3.3%
서 13
 
2.9%
울 13
 
2.9%
트 13
 
2.9%
Other values (60) 282
62.1%

결제방법
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
유료
15 
무료
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 15
51.7%
무료 14
48.3%

Length

2024-05-11T09:04:35.522933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:35.832870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 15
51.7%
무료 14
48.3%

장소명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
서울숲>서울숲 테니스장
10 
응봉공원
5 
중랑물재생센터>배드민턴장
3 
서울숲>서울숲 다목적구장
3 
중랑물재생센터>족구장
2 
Other values (4)
6 

Length

Max length13
Median length12
Mean length10.724138
Min length4

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
서울숲>서울숲 테니스장 10
34.5%
응봉공원 5
17.2%
중랑물재생센터>배드민턴장 3
 
10.3%
서울숲>서울숲 다목적구장 3
 
10.3%
중랑물재생센터>족구장 2
 
6.9%
중랑물재생센터>테니스장 2
 
6.9%
중랑물재생센터>축구장 2
 
6.9%
응봉산 인공암벽 등반시설 1
 
3.4%
이촌농구장(금호나들목) 1
 
3.4%

Length

2024-05-11T09:04:36.176546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:36.641449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울숲>서울숲 13
29.5%
테니스장 10
22.7%
응봉공원 5
 
11.4%
중랑물재생센터>배드민턴장 3
 
6.8%
다목적구장 3
 
6.8%
중랑물재생센터>족구장 2
 
4.5%
중랑물재생센터>테니스장 2
 
4.5%
중랑물재생센터>축구장 2
 
4.5%
응봉산 1
 
2.3%
인공암벽 1
 
2.3%
Other values (2) 2
 
4.5%

서비스대상
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
제한없음
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 29
100.0%

Length

2024-05-11T09:04:37.228185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:37.593353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 29
100.0%

바로가기URL
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T09:04:38.967683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters2668
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108093742281723
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108104359716676
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108110459780710
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108111805019183
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108112521319582
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231108093742281723 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231121152242907411 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231127180612701976 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231127180318293666 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231127175843091098 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231127174944025714 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231127174523276322 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231124150921076258 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231124150238858287 1
 
3.4%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231124143254807780 1
 
3.4%
Other values (19) 19
65.5%
2024-05-11T09:04:40.556139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 290
 
10.9%
s 203
 
7.6%
r 145
 
5.4%
/ 145
 
5.4%
1 121
 
4.5%
t 116
 
4.3%
. 116
 
4.3%
o 116
 
4.3%
v 116
 
4.3%
2 90
 
3.4%
Other values (29) 1210
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1653
62.0%
Decimal Number 522
 
19.6%
Other Punctuation 319
 
12.0%
Uppercase Letter 87
 
3.3%
Connector Punctuation 58
 
2.2%
Math Symbol 29
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 290
17.5%
s 203
12.3%
r 145
 
8.8%
t 116
 
7.0%
o 116
 
7.0%
v 116
 
7.0%
i 87
 
5.3%
d 58
 
3.5%
c 58
 
3.5%
w 58
 
3.5%
Other values (10) 406
24.6%
Decimal Number
ValueCountFrequency (%)
1 121
23.2%
2 90
17.2%
3 57
10.9%
0 55
10.5%
8 47
 
9.0%
7 42
 
8.0%
4 31
 
5.9%
5 31
 
5.9%
6 25
 
4.8%
9 23
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 145
45.5%
. 116
36.4%
? 29
 
9.1%
: 29
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 29
33.3%
V 29
33.3%
R 29
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%
Math Symbol
ValueCountFrequency (%)
= 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1740
65.2%
Common 928
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 290
16.7%
s 203
11.7%
r 145
 
8.3%
t 116
 
6.7%
o 116
 
6.7%
v 116
 
6.7%
i 87
 
5.0%
d 58
 
3.3%
c 58
 
3.3%
w 58
 
3.3%
Other values (13) 493
28.3%
Common
ValueCountFrequency (%)
/ 145
15.6%
1 121
13.0%
. 116
12.5%
2 90
9.7%
_ 58
 
6.2%
3 57
 
6.1%
0 55
 
5.9%
8 47
 
5.1%
7 42
 
4.5%
4 31
 
3.3%
Other values (6) 166
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 290
 
10.9%
s 203
 
7.6%
r 145
 
5.4%
/ 145
 
5.4%
1 121
 
4.5%
t 116
 
4.3%
. 116
 
4.3%
o 116
 
4.3%
v 116
 
4.3%
2 90
 
3.4%
Other values (29) 1210
45.4%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04217
Minimum127.02182
Maximum127.0595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T09:04:41.097892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02182
5-th percentile127.02182
Q1127.04027
median127.04027
Q3127.0595
95-th percentile127.0595
Maximum127.0595
Range0.037679739
Interquartile range (IQR)0.019232593

Descriptive statistics

Standard deviation0.013799965
Coefficient of variation (CV)0.00010862507
Kurtosis-1.1061404
Mean127.04217
Median Absolute Deviation (MAD)0.017908641
Skewness-0.066897645
Sum3684.223
Variance0.00019043902
MonotonicityNot monotonic
2024-05-11T09:04:41.494169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
127.04026740730848 10
34.5%
127.0595 9
31.0%
127.02182026085195 5
17.2%
127.04079005774229 3
 
10.3%
127.031017551446 1
 
3.4%
127.02235876587358 1
 
3.4%
ValueCountFrequency (%)
127.02182026085195 5
17.2%
127.02235876587358 1
 
3.4%
127.031017551446 1
 
3.4%
127.04026740730848 10
34.5%
127.04079005774229 3
 
10.3%
127.0595 9
31.0%
ValueCountFrequency (%)
127.0595 9
31.0%
127.04079005774229 3
 
10.3%
127.04026740730848 10
34.5%
127.031017551446 1
 
3.4%
127.02235876587358 1
 
3.4%
127.02182026085195 5
17.2%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.552546
Minimum37.542378
Maximum37.56057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T09:04:41.858792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.542378
5-th percentile37.546296
Q137.546406
median37.54866
Q337.56057
95-th percentile37.56057
Maximum37.56057
Range0.018192343
Interquartile range (IQR)0.014164325

Descriptive statistics

Standard deviation0.006785097
Coefficient of variation (CV)0.00018068274
Kurtosis-1.9116625
Mean37.552546
Median Absolute Deviation (MAD)0.0062819178
Skewness0.11252805
Sum1089.0238
Variance4.6037542 × 10-5
MonotonicityNot monotonic
2024-05-11T09:04:42.388224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
37.54640567522555 10
34.5%
37.56057 9
31.0%
37.5569473910838 5
17.2%
37.54629584274676 3
 
10.3%
37.5486595751896 1
 
3.4%
37.54237765734392 1
 
3.4%
ValueCountFrequency (%)
37.54237765734392 1
 
3.4%
37.54629584274676 3
 
10.3%
37.54640567522555 10
34.5%
37.5486595751896 1
 
3.4%
37.5569473910838 5
17.2%
37.56057 9
31.0%
ValueCountFrequency (%)
37.56057 9
31.0%
37.5569473910838 5
17.2%
37.5486595751896 1
 
3.4%
37.54640567522555 10
34.5%
37.54629584274676 3
 
10.3%
37.54237765734392 1
 
3.4%

서비스개시시작일시
Date

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-01 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T09:04:42.904840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:43.611117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

서비스개시종료일시
Date

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-05-31 00:00:00
Maximum2025-04-30 00:00:00
2024-05-11T09:04:43.880538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:44.152711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

접수시작일시
Date

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-01 00:00:00
Maximum2024-04-28 09:00:00
2024-05-11T09:04:44.483779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:44.940933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

접수종료일시
Date

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2024-05-10 12:05:00
Maximum2025-04-30 12:04:00
2024-05-11T09:04:45.258141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:45.581680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
성동구
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동구 29
100.0%

Length

2024-05-11T09:04:46.003087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:04:46.273613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동구 29
100.0%

Interactions

2024-05-11T09:04:25.802232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:24.909468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:26.241503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:04:25.370417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T09:04:46.522875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.6211.0000.9600.9571.0000.8420.8620.7820.8810.9230.901
서비스상태1.0000.6211.0001.0000.5920.8921.0000.6980.5070.6920.6640.9360.913
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.9600.5921.0001.0000.8841.0000.8010.5870.7170.2260.9930.965
장소명1.0000.9570.8921.0000.8841.0001.0001.0001.0000.9630.7640.9230.899
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.8420.6981.0000.8011.0001.0001.0000.9880.9960.7441.0000.953
장소Y좌표1.0000.8620.5071.0000.5871.0001.0000.9881.0000.9890.5841.0001.000
서비스개시시작일시1.0000.7820.6921.0000.7170.9631.0000.9960.9891.0000.8181.0001.000
서비스개시종료일시1.0000.8810.6641.0000.2260.7641.0000.7440.5840.8181.0001.0001.000
접수시작일시1.0000.9230.9361.0000.9930.9231.0001.0001.0001.0001.0001.0000.996
접수종료일시1.0000.9010.9131.0000.9650.8991.0000.9531.0001.0001.0000.9961.000
2024-05-11T09:04:47.063447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명결제방법서비스상태장소명
소분류명1.0000.7260.4340.845
결제방법0.7261.0000.8450.791
서비스상태0.4340.8451.0000.542
장소명0.8450.7910.5421.000
2024-05-11T09:04:47.431654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법장소명
장소X좌표1.0000.4480.6740.6510.8770.913
장소Y좌표0.4481.0000.7060.4210.6660.913
소분류명0.6740.7061.0000.4340.7260.845
서비스상태0.6510.4210.4341.0000.8450.542
결제방법0.8770.6660.7260.8451.0000.791
장소명0.9130.9130.8450.5420.7911.000

Missing values

2024-05-11T09:04:26.959465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T09:04:27.990741image/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
0자체S231108093742281723체육시설테니스장접수중테니스장1 (평일) - 2024년 응봉공원(대현산배수지)유료응봉공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108093742281723127.0218237.5569472023-12-02 00:00:00.02024-12-31 00:00:00.02023-12-02 09:00:00.02024-12-31 05:12:00.0성동구
1자체S231108104359716676체육시설테니스장예약마감테니스장2 (평일) - 2024년 응봉공원(대현산배수지)유료응봉공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108104359716676127.0218237.5569472023-12-02 00:00:00.02024-12-31 00:00:00.02023-12-02 09:00:00.02024-12-31 07:12:00.0성동구
2자체S231108110459780710체육시설테니스장예약마감테니스장1 (토/일/공휴일) - 2024년 응봉공원(대현산배수지)유료응봉공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108110459780710127.0218237.5569472023-12-02 00:00:00.02024-12-31 00:00:00.02023-12-02 09:00:00.02024-12-31 05:12:00.0성동구
3자체S231108111805019183체육시설테니스장예약마감테니스장2 (토/일/공휴일) - 2024년 응봉공원(대현산배수지)유료응봉공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108111805019183127.0218237.5569472023-12-02 00:00:00.02024-12-31 00:00:00.02023-12-02 09:00:00.02024-12-31 05:12:00.0성동구
4자체S231108112521319582체육시설다목적경기장접수중다목적구장 - 2024년 응봉공원(대현산배수지)무료응봉공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231108112521319582127.0218237.5569472023-12-02 00:00:00.02024-12-31 00:00:00.02023-12-02 09:00:00.02024-12-31 05:12:00.0성동구
5자체S231208112802913799체육시설족구장접수중2024년 중랑물재생센터 족구장B무료중랑물재생센터>족구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208112802913799127.059537.560572023-12-08 00:00:00.02024-12-31 00:00:00.02023-12-08 00:00:00.02024-12-31 12:12:00.0성동구
6자체S231208113310556539체육시설족구장접수중2024년 중랑물재생센터 족구장A무료중랑물재생센터>족구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208113310556539127.059537.560572023-12-08 00:00:00.02024-12-31 00:00:00.02023-12-08 00:00:00.02024-12-31 12:12:00.0성동구
7자체S231208113654873341체육시설테니스장접수중2024년 중랑물재생센터 테니스장 B무료중랑물재생센터>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208113654873341127.059537.560572023-12-08 00:00:00.02024-12-31 00:00:00.02023-12-08 00:00:00.02024-12-31 12:12:00.0성동구
8자체S231208114038512386체육시설테니스장접수중2024년 중랑물재생센터 테니스장 A무료중랑물재생센터>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208114038512386127.059537.560572023-12-08 00:00:00.02024-12-31 00:00:00.02023-12-08 00:00:00.02024-12-31 12:12:00.0성동구
9자체S231208110435422787체육시설배드민턴장접수중2024년도 중랑물재생센터 배드민턴장 3번코트무료중랑물재생센터>배드민턴장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208110435422787127.059537.560572023-12-08 00:00:00.02024-12-31 00:00:00.02023-12-08 00:00:00.02024-12-31 12:12:00.0성동구
서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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20자체S231124143254807780체육시설테니스장예약마감테니스장 3 코트 (토/일/공휴일, 이용기간 2024. 1. 1~12. 31) - 서울숲유료서울숲>서울숲 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231124143254807780127.04026737.5464062023-12-01 00:00:00.02024-12-31 00:00:00.02024-02-13 09:00:00.02024-12-31 06:12:00.0성동구
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26자체S231127180318293666체육시설테니스장예약마감테니스장 4 코트 (평일, 이용기간 2024. 1. 1~12. 31) - 서울숲유료서울숲>서울숲 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231127180318293666127.04026737.5464062023-12-01 00:00:00.02024-12-31 00:00:00.02024-02-13 09:00:00.02024-12-31 06:12:00.0성동구
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