Overview

Dataset statistics

Number of variables17
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory142.7 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-12198/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
결제방법 has constant value ""Constant
지역명 has constant value ""Constant
장소X좌표 is highly overall correlated with 장소Y좌표 and 3 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
소분류명 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
장소명 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
서비스대상 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
서비스대상 is highly imbalanced (72.1%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-18 05:39:32.240917
Analysis finished2024-05-18 05:39:34.982141
Duration2.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
자체
28 

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 28
100.0%

Length

2024-05-18T14:39:35.152578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:35.426157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 28
100.0%

서비스ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T14:39:35.797344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters532
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowS231030162851598419
2nd rowS231030163226788030
3rd rowS231103094459430804
4th rowS231031155418536753
5th rowS231103095323142573
ValueCountFrequency (%)
s231030162851598419 1
 
3.6%
s231030163226788030 1
 
3.6%
s240429152741345202 1
 
3.6%
s240429152539647158 1
 
3.6%
s240429152331875964 1
 
3.6%
s240429152115926926 1
 
3.6%
s240429151907205641 1
 
3.6%
s240429151705477375 1
 
3.6%
s240429151459221968 1
 
3.6%
s240429151222877798 1
 
3.6%
Other values (18) 18
64.3%
2024-05-18T14:39:36.465960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 85
16.0%
2 74
13.9%
4 73
13.7%
0 58
10.9%
3 52
9.8%
5 48
9.0%
9 42
7.9%
S 28
 
5.3%
8 27
 
5.1%
6 24
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 504
94.7%
Uppercase Letter 28
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 85
16.9%
2 74
14.7%
4 73
14.5%
0 58
11.5%
3 52
10.3%
5 48
9.5%
9 42
8.3%
8 27
 
5.4%
6 24
 
4.8%
7 21
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
94.7%
Latin 28
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 85
16.9%
2 74
14.7%
4 73
14.5%
0 58
11.5%
3 52
10.3%
5 48
9.5%
9 42
8.3%
8 27
 
5.4%
6 24
 
4.8%
7 21
 
4.2%
Latin
ValueCountFrequency (%)
S 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 85
16.0%
2 74
13.9%
4 73
13.7%
0 58
10.9%
3 52
9.8%
5 48
9.0%
9 42
7.9%
S 28
 
5.3%
8 27
 
5.1%
6 24
 
4.5%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
체육시설
28 

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 28
100.0%

Length

2024-05-18T14:39:36.811335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:37.097295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 28
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
테니스장
15 
족구장
3 
야구장
3 
축구장
3 
농구장
2 

Length

Max length4
Median length4
Mean length3.5357143
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row족구장
2nd row족구장
3rd row야구장
4th row야구장
5th row야구장

Common Values

ValueCountFrequency (%)
테니스장 15
53.6%
족구장 3
 
10.7%
야구장 3
 
10.7%
축구장 3
 
10.7%
농구장 2
 
7.1%
배구장 2
 
7.1%

Length

2024-05-18T14:39:37.420725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:37.750460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 15
53.6%
족구장 3
 
10.7%
야구장 3
 
10.7%
축구장 3
 
10.7%
농구장 2
 
7.1%
배구장 2
 
7.1%

서비스상태
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
접수중
17 
예약마감
6 
예약일시중지
5 

Length

Max length6
Median length3
Mean length3.75
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 17
60.7%
예약마감 6
 
21.4%
예약일시중지 5
 
17.9%

Length

2024-05-18T14:39:38.154838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:38.484018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 17
60.7%
예약마감 6
 
21.4%
예약일시중지 5
 
17.9%

서비스명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T14:39:38.841079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.321429
Min length16

Characters and Unicode

Total characters681
Distinct characters55
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

Unique28 ?
Unique (%)100.0%

Sample

1st row2024년 족구장2 (안내센터상류)-광나루한강공원
2nd row2024년 족구장3 (안내센터상류)-광나루한강공원
3rd row2024년 광나루 어린이야구장
4th row2024년 광나루 성인야구장(평일)-광나루한강공원
5th row2024년 광나루 성인야구장(토/일/공휴일)-광나루한강공원
ValueCountFrequency (%)
광나루 18
12.9%
한강공원 15
10.7%
15
10.7%
코트 15
10.7%
테니스장 15
10.7%
2024년 13
9.3%
평일 5
 
3.6%
주말,공휴일 5
 
3.6%
저녁 5
 
3.6%
안내센터상류)-광나루한강공원 4
 
2.9%
Other values (20) 30
21.4%
2024-05-18T14:39:39.737223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.4%
공 33
 
4.8%
2 30
 
4.4%
루 30
 
4.4%
광 30
 
4.4%
나 30
 
4.4%
장 28
 
4.1%
강 27
 
4.0%
한 27
 
4.0%
- 27
 
4.0%
Other values (45) 307
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
65.2%
Space Separator 112
 
16.4%
Decimal Number 77
 
11.3%
Dash Punctuation 27
 
4.0%
Open Punctuation 7
 
1.0%
Close Punctuation 7
 
1.0%
Other Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 33
 
7.4%
루 30
 
6.8%
광 30
 
6.8%
나 30
 
6.8%
장 28
 
6.3%
강 27
 
6.1%
한 27
 
6.1%
원 27
 
6.1%
니 15
 
3.4%
스 15
 
3.4%
Other values (30) 182
41.0%
Decimal Number
ValueCountFrequency (%)
2 30
39.0%
4 16
20.8%
0 13
16.9%
1 4
 
5.2%
8 3
 
3.9%
7 3
 
3.9%
6 3
 
3.9%
5 3
 
3.9%
3 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
65.2%
Common 237
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 33
 
7.4%
루 30
 
6.8%
광 30
 
6.8%
나 30
 
6.8%
장 28
 
6.3%
강 27
 
6.1%
한 27
 
6.1%
원 27
 
6.1%
니 15
 
3.4%
스 15
 
3.4%
Other values (30) 182
41.0%
Common
ValueCountFrequency (%)
112
47.3%
2 30
 
12.7%
- 27
 
11.4%
4 16
 
6.8%
0 13
 
5.5%
( 7
 
3.0%
) 7
 
3.0%
, 5
 
2.1%
1 4
 
1.7%
8 3
 
1.3%
Other values (5) 13
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
65.2%
ASCII 237
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
47.3%
2 30
 
12.7%
- 27
 
11.4%
4 16
 
6.8%
0 13
 
5.5%
( 7
 
3.0%
) 7
 
3.0%
, 5
 
2.1%
1 4
 
1.7%
8 3
 
1.3%
Other values (5) 13
 
5.5%
Hangul
ValueCountFrequency (%)
공 33
 
7.4%
루 30
 
6.8%
광 30
 
6.8%
나 30
 
6.8%
장 28
 
6.3%
강 27
 
6.1%
한 27
 
6.1%
원 27
 
6.1%
니 15
 
3.4%
스 15
 
3.4%
Other values (30) 182
41.0%

결제방법
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
유료
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 28
100.0%

Length

2024-05-18T14:39:40.178786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:40.417074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 28
100.0%

장소명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
광나루 한강공원 테니스장
15 
광나루한강공원>성인야구장
2 
광나루한강공원>농구장 1, 2
2 
광나루 배구장1,2
2 
광나루한강공원>족구장2(안내센터상류)
 
1
Other values (6)
6 

Length

Max length20
Median length13
Mean length13.857143
Min length10

Unique

Unique7 ?
Unique (%)25.0%

Sample

1st row광나루한강공원>족구장2(안내센터상류)
2nd row광나루한강공원>족구장3(안내센터상류)
3rd row광나루한강공원>어린이야구장
4th row광나루한강공원>성인야구장
5th row광나루한강공원>성인야구장

Common Values

ValueCountFrequency (%)
광나루 한강공원 테니스장 15
53.6%
광나루한강공원>성인야구장 2
 
7.1%
광나루한강공원>농구장 1, 2 2
 
7.1%
광나루 배구장1,2 2
 
7.1%
광나루한강공원>족구장2(안내센터상류) 1
 
3.6%
광나루한강공원>족구장3(안내센터상류) 1
 
3.6%
광나루한강공원>어린이야구장 1
 
3.6%
광나루한강공원>축구장 2 1
 
3.6%
광나루한강공원>족구장1(안내센터상류) 1
 
3.6%
광나루한강공원>축구장 1 1
 
3.6%

Length

2024-05-18T14:39:40.687535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광나루 17
25.4%
한강공원 15
22.4%
테니스장 15
22.4%
1 3
 
4.5%
2 3
 
4.5%
광나루한강공원>축구장 3
 
4.5%
광나루한강공원>성인야구장 2
 
3.0%
광나루한강공원>농구장 2
 
3.0%
배구장1,2 2
 
3.0%
광나루한강공원>족구장2(안내센터상류 1
 
1.5%
Other values (4) 4
 
6.0%

서비스대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
제한없음
26 
어린이
 
1
성인
 
1

Length

Max length5
Median length5
Mean length4.8928571
Min length3

Unique

Unique2 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 26
92.9%
어린이 1
 
3.6%
성인 1
 
3.6%

Length

2024-05-18T14:39:41.089459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:41.398096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 26
92.9%
어린이 1
 
3.6%
성인 1
 
3.6%

바로가기URL
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T14:39:41.977892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters2576
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030162851598419
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030163226788030
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231103094459430804
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231031155418536753
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231103095323142573
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030162851598419 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030163226788030 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429152741345202 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429152539647158 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429152331875964 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429152115926926 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429151907205641 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429151705477375 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429151459221968 1
 
3.6%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429151222877798 1
 
3.6%
Other values (18) 18
64.3%
2024-05-18T14:39:42.857389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 280
 
10.9%
s 196
 
7.6%
/ 140
 
5.4%
r 140
 
5.4%
t 112
 
4.3%
. 112
 
4.3%
o 112
 
4.3%
v 112
 
4.3%
1 85
 
3.3%
i 84
 
3.3%
Other values (29) 1203
46.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1596
62.0%
Decimal Number 504
 
19.6%
Other Punctuation 308
 
12.0%
Uppercase Letter 84
 
3.3%
Connector Punctuation 56
 
2.2%
Math Symbol 28
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 280
17.5%
s 196
12.3%
r 140
 
8.8%
t 112
 
7.0%
o 112
 
7.0%
v 112
 
7.0%
i 84
 
5.3%
w 56
 
3.5%
d 56
 
3.5%
c 56
 
3.5%
Other values (10) 392
24.6%
Decimal Number
ValueCountFrequency (%)
1 85
16.9%
2 74
14.7%
4 73
14.5%
0 58
11.5%
3 52
10.3%
5 48
9.5%
9 42
8.3%
8 27
 
5.4%
6 24
 
4.8%
7 21
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 140
45.5%
. 112
36.4%
? 28
 
9.1%
: 28
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 28
33.3%
V 28
33.3%
R 28
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1680
65.2%
Common 896
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 280
16.7%
s 196
11.7%
r 140
 
8.3%
t 112
 
6.7%
o 112
 
6.7%
v 112
 
6.7%
i 84
 
5.0%
w 56
 
3.3%
d 56
 
3.3%
c 56
 
3.3%
Other values (13) 476
28.3%
Common
ValueCountFrequency (%)
/ 140
15.6%
. 112
12.5%
1 85
9.5%
2 74
8.3%
4 73
8.1%
0 58
 
6.5%
_ 56
 
6.2%
3 52
 
5.8%
5 48
 
5.4%
9 42
 
4.7%
Other values (6) 156
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 280
 
10.9%
s 196
 
7.6%
/ 140
 
5.4%
r 140
 
5.4%
t 112
 
4.3%
. 112
 
4.3%
o 112
 
4.3%
v 112
 
4.3%
1 85
 
3.3%
i 84
 
3.3%
Other values (29) 1203
46.7%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12108
Minimum127.11314
Maximum127.12295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T14:39:43.115267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11314
5-th percentile127.1139
Q1127.12188
median127.12188
Q3127.12248
95-th percentile127.12294
Maximum127.12295
Range0.0098088892
Interquartile range (IQR)0.00059996992

Descriptive statistics

Standard deviation0.0028595169
Coefficient of variation (CV)2.2494435 × 10-5
Kurtosis3.4622282
Mean127.12108
Median Absolute Deviation (MAD)0
Skewness-2.1880825
Sum3559.3902
Variance8.1768367 × 10-6
MonotonicityNot monotonic
2024-05-18T14:39:43.434436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
127.12188006433978 15
53.6%
127.11313636349792 2
 
7.1%
127.12294525264927 2
 
7.1%
127.12248003426048 2
 
7.1%
127.1228844196981 1
 
3.6%
127.12289572152544 1
 
3.6%
127.11532021382494 1
 
3.6%
127.12231538484988 1
 
3.6%
127.12292293544864 1
 
3.6%
127.12266779878298 1
 
3.6%
ValueCountFrequency (%)
127.11313636349792 2
 
7.1%
127.11532021382494 1
 
3.6%
127.1158915314405 1
 
3.6%
127.12188006433978 15
53.6%
127.12231538484988 1
 
3.6%
127.12248003426048 2
 
7.1%
127.12266779878298 1
 
3.6%
127.1228844196981 1
 
3.6%
127.12289572152544 1
 
3.6%
127.12292293544864 1
 
3.6%
ValueCountFrequency (%)
127.12294525264927 2
 
7.1%
127.12292293544864 1
 
3.6%
127.12289572152544 1
 
3.6%
127.1228844196981 1
 
3.6%
127.12266779878298 1
 
3.6%
127.12248003426048 2
 
7.1%
127.12231538484988 1
 
3.6%
127.12188006433978 15
53.6%
127.1158915314405 1
 
3.6%
127.11532021382494 1
 
3.6%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.549243
Minimum37.538472
Maximum37.553208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T14:39:43.768266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.538472
5-th percentile37.539009
Q137.549898
median37.549898
Q337.551835
95-th percentile37.553181
Maximum37.553208
Range0.014735961
Interquartile range (IQR)0.0019370137

Descriptive statistics

Standard deviation0.0042967834
Coefficient of variation (CV)0.00011443062
Kurtosis2.1868166
Mean37.549243
Median Absolute Deviation (MAD)0
Skewness-1.7853503
Sum1051.3788
Variance1.8462347 × 10-5
MonotonicityNot monotonic
2024-05-18T14:39:44.129999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
37.54989784603126 15
53.6%
37.53847158849456 2
 
7.1%
37.55301471283899 2
 
7.1%
37.55183485975812 2
 
7.1%
37.55318416385411 1
 
3.6%
37.553175142254325 1
 
3.6%
37.540006581531294 1
 
3.6%
37.55123499620423 1
 
3.6%
37.553207549476966 1
 
3.6%
37.55220950966281 1
 
3.6%
ValueCountFrequency (%)
37.53847158849456 2
 
7.1%
37.540006581531294 1
 
3.6%
37.540679970000994 1
 
3.6%
37.54989784603126 15
53.6%
37.55123499620423 1
 
3.6%
37.55183485975812 2
 
7.1%
37.55220950966281 1
 
3.6%
37.55301471283899 2
 
7.1%
37.553175142254325 1
 
3.6%
37.55318416385411 1
 
3.6%
ValueCountFrequency (%)
37.553207549476966 1
 
3.6%
37.55318416385411 1
 
3.6%
37.553175142254325 1
 
3.6%
37.55301471283899 2
 
7.1%
37.55220950966281 1
 
3.6%
37.55183485975812 2
 
7.1%
37.55123499620423 1
 
3.6%
37.54989784603126 15
53.6%
37.540679970000994 1
 
3.6%
37.540006581531294 1
 
3.6%

서비스개시시작일시
Date

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2023-11-01 00:00:00
Maximum2024-05-01 00:00:00
2024-05-18T14:39:44.470274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:44.758989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

서비스개시종료일시
Date

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-05-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-18T14:39:45.060188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:45.396157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

접수시작일시
Date

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2023-11-01 14:00:00
Maximum2024-05-01 00:00:00
2024-05-18T14:39:45.706624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:46.210657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

접수종료일시
Date

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2024-05-31 12:05:00
Maximum2024-12-31 02:12:00
2024-05-18T14:39:46.412413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:46.738813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
강동구
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동구 28
100.0%

Length

2024-05-18T14:39:47.000535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T14:39:47.247662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동구 28
100.0%

Interactions

2024-05-18T14:39:33.593786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:33.099883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:33.849236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T14:39:33.332752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T14:39:47.440696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.6641.0001.0000.7371.0000.8770.7970.7161.0000.7161.000
서비스상태1.0000.6641.0001.0000.0000.0001.0000.4460.4680.5150.4720.5150.472
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소명1.0001.0000.0001.0001.0000.8621.0001.0001.0000.6421.0000.6421.000
서비스대상1.0000.7370.0001.0000.8621.0001.0000.6270.6590.0000.0820.0000.082
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.8770.4461.0001.0000.6271.0001.0001.0000.9311.0000.9311.000
장소Y좌표1.0000.7970.4681.0001.0000.6591.0001.0001.0000.6971.0000.6971.000
서비스개시시작일시1.0000.7160.5151.0000.6420.0001.0000.9310.6971.0001.0001.0001.000
서비스개시종료일시1.0001.0000.4721.0001.0000.0821.0001.0001.0001.0001.0001.0000.993
접수시작일시1.0000.7160.5151.0000.6420.0001.0000.9310.6971.0001.0001.0001.000
접수종료일시1.0001.0000.4721.0001.0000.0821.0001.0001.0001.0000.9931.0001.000
2024-05-18T14:39:47.782009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스대상장소명서비스상태소분류명
서비스대상1.0000.6320.0000.382
장소명0.6321.0000.0000.879
서비스상태0.0000.0001.0000.321
소분류명0.3820.8790.3211.000
2024-05-18T14:39:48.011122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태장소명서비스대상
장소X좌표1.0000.9900.7170.4280.8420.632
장소Y좌표0.9901.0000.6660.3780.8600.599
소분류명0.7170.6661.0000.3210.8790.382
서비스상태0.4280.3780.3211.0000.0000.000
장소명0.8420.8600.8790.0001.0000.632
서비스대상0.6320.5990.3820.0000.6321.000

Missing values

2024-05-18T14:39:34.250669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T14:39:34.724779image/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
0자체S231030162851598419체육시설족구장접수중2024년 족구장2 (안내센터상류)-광나루한강공원유료광나루한강공원>족구장2(안내센터상류)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030162851598419127.12288437.5531842023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
1자체S231030163226788030체육시설족구장접수중2024년 족구장3 (안내센터상류)-광나루한강공원유료광나루한강공원>족구장3(안내센터상류)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030163226788030127.12289637.5531752023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
2자체S231103094459430804체육시설야구장접수중2024년 광나루 어린이야구장유료광나루한강공원>어린이야구장어린이https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231103094459430804127.1153237.5400072023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
3자체S231031155418536753체육시설야구장접수중2024년 광나루 성인야구장(평일)-광나루한강공원유료광나루한강공원>성인야구장성인https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231031155418536753127.11313637.5384722023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
4자체S231103095323142573체육시설야구장접수중2024년 광나루 성인야구장(토/일/공휴일)-광나루한강공원유료광나루한강공원>성인야구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231103095323142573127.11313637.5384722023-11-01 00:00:00.02024-12-31 00:00:00.02023-11-01 14:00:00.02024-12-31 02:12:00.0강동구
5자체S231030110352370636체육시설축구장접수중2024년 축구장2-광나루한강공원유료광나루한강공원>축구장 2제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030110352370636127.12231537.5512352023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
6자체S231030162443215928체육시설족구장접수중2024년 족구장1 (안내센터상류)-광나루한강공원유료광나루한강공원>족구장1(안내센터상류)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030162443215928127.12292337.5532082023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
7자체S231101134618841935체육시설농구장접수중2024년 농구장1-광나루한강공원유료광나루한강공원>농구장 1, 2제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101134618841935127.12294537.5530152023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
8자체S231101135019355573체육시설농구장접수중2024년 농구장2-광나루한강공원유료광나루한강공원>농구장 1, 2제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101135019355573127.12294537.5530152023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0강동구
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