Overview

Dataset statistics

Number of variables17
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory140.3 B

Variable types

Categorical12
Text3
Numeric2

Dataset

Description서비스구분,서비스ID,대분류명,소분류명,서비스상태,서비스명,결제방법,장소명,서비스대상,바로가기URL,장소X좌표,장소Y좌표,서비스개시시작일시,서비스개시종료일시,접수시작일시,접수종료일시,지역명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12210/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
서비스개시시작일시 is highly overall correlated with 장소X좌표 and 8 other fieldsHigh correlation
소분류명 is highly overall correlated with 장소X좌표 and 7 other fieldsHigh correlation
접수종료일시 is highly overall correlated with 서비스상태 and 4 other fieldsHigh correlation
서비스개시종료일시 is highly overall correlated with 장소X좌표 and 7 other fieldsHigh correlation
장소명 is highly overall correlated with 장소X좌표 and 7 other fieldsHigh correlation
결제방법 is highly overall correlated with 소분류명 and 4 other fieldsHigh correlation
접수시작일시 is highly overall correlated with 장소X좌표 and 8 other fieldsHigh correlation
장소X좌표 is highly overall correlated with 장소Y좌표 and 6 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 장소X좌표 and 6 other fieldsHigh correlation
서비스상태 is highly overall correlated with 장소X좌표 and 7 other fieldsHigh correlation
결제방법 is highly imbalanced (78.5%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:28:34.527711
Analysis finished2024-05-11 05:28:42.418576
Duration7.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
자체
58 

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 58
100.0%

Length

2024-05-11T05:28:42.680280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:43.038929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 58
100.0%

서비스ID
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T05:28:43.547559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1102
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

Unique58 ?
Unique (%)100.0%

Sample

1st rowS240420110619210859
2nd rowS240428183903384020
3rd rowS240428184130324782
4th rowS240428184405833607
5th rowS240428184917373342
ValueCountFrequency (%)
s240420110619210859 1
 
1.7%
s231030153120733548 1
 
1.7%
s231030142822310122 1
 
1.7%
s240426144326795474 1
 
1.7%
s240426145102012493 1
 
1.7%
s240426150515971213 1
 
1.7%
s240428180441882402 1
 
1.7%
s240428181247024945 1
 
1.7%
s240428181605697175 1
 
1.7%
s240428182421196790 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T05:28:44.479253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 184
16.7%
4 167
15.2%
0 161
14.6%
1 156
14.2%
3 99
9.0%
8 72
 
6.5%
S 58
 
5.3%
6 57
 
5.2%
5 54
 
4.9%
9 47
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1044
94.7%
Uppercase Letter 58
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 184
17.6%
4 167
16.0%
0 161
15.4%
1 156
14.9%
3 99
9.5%
8 72
 
6.9%
6 57
 
5.5%
5 54
 
5.2%
9 47
 
4.5%
7 47
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1044
94.7%
Latin 58
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 184
17.6%
4 167
16.0%
0 161
15.4%
1 156
14.9%
3 99
9.5%
8 72
 
6.9%
6 57
 
5.5%
5 54
 
5.2%
9 47
 
4.5%
7 47
 
4.5%
Latin
ValueCountFrequency (%)
S 58
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 184
16.7%
4 167
15.2%
0 161
14.6%
1 156
14.2%
3 99
9.0%
8 72
 
6.5%
S 58
 
5.3%
6 57
 
5.2%
5 54
 
4.9%
9 47
 
4.3%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
체육시설
58 

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 58
100.0%

Length

2024-05-11T05:28:44.912610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:45.259291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 58
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
테니스장
40 
족구장
8 
농구장
6 
축구장
 
2
풋살장
 
2

Length

Max length4
Median length4
Mean length3.6896552
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
테니스장 40
69.0%
족구장 8
 
13.8%
농구장 6
 
10.3%
축구장 2
 
3.4%
풋살장 2
 
3.4%

Length

2024-05-11T05:28:45.618790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:46.047914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 40
69.0%
족구장 8
 
13.8%
농구장 6
 
10.3%
축구장 2
 
3.4%
풋살장 2
 
3.4%

서비스상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
접수중
22 
예약마감
20 
예약일시중지
16 

Length

Max length6
Median length4
Mean length4.1724138
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 22
37.9%
예약마감 20
34.5%
예약일시중지 16
27.6%

Length

2024-05-11T05:28:46.732936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:47.145187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 22
37.9%
예약마감 20
34.5%
예약일시중지 16
27.6%

서비스명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T05:28:47.868944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length22.5
Min length14

Characters and Unicode

Total characters1305
Distinct characters91
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

Unique58 ?
Unique (%)100.0%

Sample

1st row이촌 한강공원 테니스장 8번 코트 - 주말, 공휴일
2nd row한남테니스장 10번코트 주말 및 공휴일
3rd row한남테니스장 11번코트 공휴일
4th row한남테니스장 9번코트주말 및 공휴일
5th row한남테니스장 12번코트 공휴일
ValueCountFrequency (%)
한남테니스장 25
 
9.5%
2024년 17
 
6.4%
16
 
6.1%
이촌 15
 
5.7%
테니스장 15
 
5.7%
한강공원 15
 
5.7%
코트 15
 
5.7%
공휴일 15
 
5.7%
주간 15
 
5.7%
주말 11
 
4.2%
Other values (55) 105
39.8%
2024-05-11T05:28:49.312247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
16.6%
장 67
 
5.1%
한 63
 
4.8%
공 47
 
3.6%
2 41
 
3.1%
테 40
 
3.1%
니 40
 
3.1%
스 40
 
3.1%
번 40
 
3.1%
코 40
 
3.1%
Other values (81) 671
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 875
67.0%
Space Separator 216
 
16.6%
Decimal Number 133
 
10.2%
Dash Punctuation 32
 
2.5%
Close Punctuation 18
 
1.4%
Open Punctuation 18
 
1.4%
Other Punctuation 13
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 67
 
7.7%
한 63
 
7.2%
공 47
 
5.4%
테 40
 
4.6%
니 40
 
4.6%
스 40
 
4.6%
번 40
 
4.6%
코 40
 
4.6%
트 40
 
4.6%
강 36
 
4.1%
Other values (65) 422
48.2%
Decimal Number
ValueCountFrequency (%)
2 41
30.8%
4 25
18.8%
0 20
15.0%
1 14
 
10.5%
6 8
 
6.0%
5 7
 
5.3%
3 5
 
3.8%
8 5
 
3.8%
7 5
 
3.8%
9 3
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 875
67.0%
Common 430
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 67
 
7.7%
한 63
 
7.2%
공 47
 
5.4%
테 40
 
4.6%
니 40
 
4.6%
스 40
 
4.6%
번 40
 
4.6%
코 40
 
4.6%
트 40
 
4.6%
강 36
 
4.1%
Other values (65) 422
48.2%
Common
ValueCountFrequency (%)
216
50.2%
2 41
 
9.5%
- 32
 
7.4%
4 25
 
5.8%
0 20
 
4.7%
) 18
 
4.2%
( 18
 
4.2%
1 14
 
3.3%
, 12
 
2.8%
6 8
 
1.9%
Other values (6) 26
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 875
67.0%
ASCII 430
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
50.2%
2 41
 
9.5%
- 32
 
7.4%
4 25
 
5.8%
0 20
 
4.7%
) 18
 
4.2%
( 18
 
4.2%
1 14
 
3.3%
, 12
 
2.8%
6 8
 
1.9%
Other values (6) 26
 
6.0%
Hangul
ValueCountFrequency (%)
장 67
 
7.7%
한 63
 
7.2%
공 47
 
5.4%
테 40
 
4.6%
니 40
 
4.6%
스 40
 
4.6%
번 40
 
4.6%
코 40
 
4.6%
트 40
 
4.6%
강 36
 
4.1%
Other values (65) 422
48.2%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
유료
55 
무료
 
2
유료(요금안내문의)
 
1

Length

Max length10
Median length2
Mean length2.137931
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
유료 55
94.8%
무료 2
 
3.4%
유료(요금안내문의) 1
 
1.7%

Length

2024-05-11T05:28:50.385792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:51.081674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 55
94.8%
무료 2
 
3.4%
유료(요금안내문의 1
 
1.7%

장소명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
한남테니스장
25 
이촌 한강공원 테니스장
15 
이촌농구(청소년광장)
5 
이촌족구장2,3(보광나들목1,2)
 
2
이촌족구장4,5(한강대교 북단 상류 1,2)
 
2
Other values (8)
9 

Length

Max length24
Median length19
Mean length10.655172
Min length6

Unique

Unique7 ?
Unique (%)12.1%

Sample

1st row이촌 한강공원 테니스장
2nd row한남테니스장
3rd row한남테니스장
4th row한남테니스장
5th row한남테니스장

Common Values

ValueCountFrequency (%)
한남테니스장 25
43.1%
이촌 한강공원 테니스장 15
25.9%
이촌농구(청소년광장) 5
 
8.6%
이촌족구장2,3(보광나들목1,2) 2
 
3.4%
이촌족구장4,5(한강대교 북단 상류 1,2) 2
 
3.4%
이촌족구장7,8(원효대교 북단 상류 1,2) 2
 
3.4%
효창운동장(축구장&육상트랙) 1
 
1.7%
이촌족구장1(한남) 1
 
1.7%
이촌한강공원>축구장 1
 
1.7%
이촌족구장6(한강대교 북단 하류) 1
 
1.7%
Other values (3) 3
 
5.2%

Length

2024-05-11T05:28:51.725818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한남테니스장 25
24.3%
이촌 16
15.5%
한강공원 15
14.6%
테니스장 15
14.6%
북단 5
 
4.9%
이촌농구(청소년광장 5
 
4.9%
상류 4
 
3.9%
1,2 4
 
3.9%
이촌족구장4,5(한강대교 2
 
1.9%
이촌족구장2,3(보광나들목1,2 2
 
1.9%
Other values (9) 10
 
9.7%

서비스대상
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
제한없음
58 

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 58
100.0%

Length

2024-05-11T05:28:52.306605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:52.722442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 58
100.0%

바로가기URL
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T05:28:53.808566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters5336
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

Unique58 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420110619210859
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428183903384020
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184130324782
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184405833607
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184917373342
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240420110619210859 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030153120733548 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231030142822310122 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240426144326795474 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240426145102012493 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240426150515971213 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240428180441882402 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240428181247024945 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240428181605697175 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240428182421196790 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T05:28:55.338268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 580
 
10.9%
s 406
 
7.6%
/ 290
 
5.4%
r 290
 
5.4%
. 232
 
4.3%
o 232
 
4.3%
t 232
 
4.3%
v 232
 
4.3%
2 184
 
3.4%
i 174
 
3.3%
Other values (29) 2484
46.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3306
62.0%
Decimal Number 1044
 
19.6%
Other Punctuation 638
 
12.0%
Uppercase Letter 174
 
3.3%
Connector Punctuation 116
 
2.2%
Math Symbol 58
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 580
17.5%
s 406
12.3%
r 290
 
8.8%
o 232
 
7.0%
t 232
 
7.0%
v 232
 
7.0%
i 174
 
5.3%
c 116
 
3.5%
k 116
 
3.5%
l 116
 
3.5%
Other values (10) 812
24.6%
Decimal Number
ValueCountFrequency (%)
2 184
17.6%
4 167
16.0%
0 161
15.4%
1 156
14.9%
3 99
9.5%
8 72
 
6.9%
6 57
 
5.5%
5 54
 
5.2%
9 47
 
4.5%
7 47
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 290
45.5%
. 232
36.4%
: 58
 
9.1%
? 58
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
R 58
33.3%
V 58
33.3%
S 58
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 116
100.0%
Math Symbol
ValueCountFrequency (%)
= 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3480
65.2%
Common 1856
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 580
16.7%
s 406
11.7%
r 290
 
8.3%
o 232
 
6.7%
t 232
 
6.7%
v 232
 
6.7%
i 174
 
5.0%
c 116
 
3.3%
k 116
 
3.3%
l 116
 
3.3%
Other values (13) 986
28.3%
Common
ValueCountFrequency (%)
/ 290
15.6%
. 232
12.5%
2 184
9.9%
4 167
9.0%
0 161
8.7%
1 156
8.4%
_ 116
 
6.2%
3 99
 
5.3%
8 72
 
3.9%
: 58
 
3.1%
Other values (6) 321
17.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 580
 
10.9%
s 406
 
7.6%
/ 290
 
5.4%
r 290
 
5.4%
. 232
 
4.3%
o 232
 
4.3%
t 232
 
4.3%
v 232
 
4.3%
2 184
 
3.4%
i 174
 
3.3%
Other values (29) 2484
46.6%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99001
Minimum126.95247
Maximum127.02042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T05:28:55.857092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95247
5-th percentile126.96104
Q1126.98523
median126.99864
Q3127.00393
95-th percentile127.00432
Maximum127.02042
Range0.067952112
Interquartile range (IQR)0.018704131

Descriptive statistics

Standard deviation0.017285474
Coefficient of variation (CV)0.0001361168
Kurtosis-0.69893443
Mean126.99001
Median Absolute Deviation (MAD)0.010867639
Skewness-0.69870109
Sum7365.4207
Variance0.0002987876
MonotonicityNot monotonic
2024-05-11T05:28:56.307562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
127.00393 25
43.1%
126.98522586904552 15
25.9%
126.96457353990522 5
 
8.6%
126.99864178997184 2
 
3.4%
126.96199183842694 2
 
3.4%
126.95246862030324 2
 
3.4%
126.961645170164 1
 
1.7%
127.00696114704928 1
 
1.7%
126.96963722744287 1
 
1.7%
126.9575995598024 1
 
1.7%
Other values (3) 3
 
5.2%
ValueCountFrequency (%)
126.95246862030324 2
 
3.4%
126.9575995598024 1
 
1.7%
126.961645170164 1
 
1.7%
126.96199183842694 2
 
3.4%
126.96457353990522 5
 
8.6%
126.96963722744287 1
 
1.7%
126.9722453148366 1
 
1.7%
126.98522586904552 15
25.9%
126.99864178997184 2
 
3.4%
127.00393 25
43.1%
ValueCountFrequency (%)
127.0204207320261 1
 
1.7%
127.00696114704928 1
 
1.7%
127.00652661773576 1
 
1.7%
127.00393 25
43.1%
126.99864178997184 2
 
3.4%
126.98522586904552 15
25.9%
126.9722453148366 1
 
1.7%
126.96963722744287 1
 
1.7%
126.96457353990522 5
 
8.6%
126.96199183842694 2
 
3.4%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.531695
Minimum37.51543
Maximum37.5467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T05:28:56.784272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.51543
5-th percentile37.51543
Q137.51577
median37.528688
Q337.5467
95-th percentile37.5467
Maximum37.5467
Range0.031269966
Interquartile range (IQR)0.030929661

Descriptive statistics

Standard deviation0.014240896
Coefficient of variation (CV)0.00037943653
Kurtosis-1.9337489
Mean37.531695
Median Absolute Deviation (MAD)0.013257636
Skewness0.01486386
Sum2176.8383
Variance0.00020280312
MonotonicityNot monotonic
2024-05-11T05:28:57.254912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
37.5467 25
43.1%
37.51543003389875 15
25.9%
37.51990244851704 5
 
8.6%
37.520700954336434 2
 
3.4%
37.52090924557722 2
 
3.4%
37.52919868347372 2
 
3.4%
37.544040881252 1
 
1.7%
37.52817665570038 1
 
1.7%
37.51791777122813 1
 
1.7%
37.521894164294565 1
 
1.7%
Other values (3) 3
 
5.2%
ValueCountFrequency (%)
37.51543003389875 15
25.9%
37.516791253319454 1
 
1.7%
37.51791777122813 1
 
1.7%
37.51990244851704 5
 
8.6%
37.520700954336434 2
 
3.4%
37.52090924557722 2
 
3.4%
37.521894164294565 1
 
1.7%
37.52799457010055 1
 
1.7%
37.52817665570038 1
 
1.7%
37.52919868347372 2
 
3.4%
ValueCountFrequency (%)
37.5467 25
43.1%
37.544040881252 1
 
1.7%
37.54139654093165 1
 
1.7%
37.52919868347372 2
 
3.4%
37.52817665570038 1
 
1.7%
37.52799457010055 1
 
1.7%
37.521894164294565 1
 
1.7%
37.52090924557722 2
 
3.4%
37.520700954336434 2
 
3.4%
37.51990244851704 5
 
8.6%

서비스개시시작일시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-01 00:00:00.0
40 
2023-12-01 00:00:00.0
17 
2024-04-20 00:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2024-05-01 00:00:00.0
2nd row2024-05-01 00:00:00.0
3rd row2024-05-01 00:00:00.0
4th row2024-05-01 00:00:00.0
5th row2024-05-01 00:00:00.0

Common Values

ValueCountFrequency (%)
2024-05-01 00:00:00.0 40
69.0%
2023-12-01 00:00:00.0 17
29.3%
2024-04-20 00:00:00.0 1
 
1.7%

Length

2024-05-11T05:28:57.788324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:58.136596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 58
50.0%
2024-05-01 40
34.5%
2023-12-01 17
 
14.7%
2024-04-20 1
 
0.9%

서비스개시종료일시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-15 00:00:00.0
25 
2024-12-31 00:00:00.0
17 
2024-05-31 00:00:00.0
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-31 00:00:00.0
2nd row2024-05-15 00:00:00.0
3rd row2024-05-15 00:00:00.0
4th row2024-05-15 00:00:00.0
5th row2024-05-15 00:00:00.0

Common Values

ValueCountFrequency (%)
2024-05-15 00:00:00.0 25
43.1%
2024-12-31 00:00:00.0 17
29.3%
2024-05-31 00:00:00.0 16
27.6%

Length

2024-05-11T05:28:58.608459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:59.037027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 58
50.0%
2024-05-15 25
21.6%
2024-12-31 17
 
14.7%
2024-05-31 16
 
13.8%

접수시작일시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-01 00:00:00.0
40 
2023-12-01 14:00:00.0
17 
2024-04-20 10:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row2024-05-01 00:00:00.0
2nd row2024-05-01 00:00:00.0
3rd row2024-05-01 00:00:00.0
4th row2024-05-01 00:00:00.0
5th row2024-05-01 00:00:00.0

Common Values

ValueCountFrequency (%)
2024-05-01 00:00:00.0 40
69.0%
2023-12-01 14:00:00.0 17
29.3%
2024-04-20 10:00:00.0 1
 
1.7%

Length

2024-05-11T05:28:59.583831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:28:59.916025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-05-01 40
34.5%
00:00:00.0 40
34.5%
2023-12-01 17
14.7%
14:00:00.0 17
14.7%
2024-04-20 1
 
0.9%
10:00:00.0 1
 
0.9%

접수종료일시
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-12-31 02:12:00.0
17 
2024-05-31 12:05:00.0
15 
2024-05-15 08:05:00.0
8 
2024-05-15 06:05:00.0
7 
2024-05-15 07:05:00.0
5 
Other values (6)
6 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)10.3%

Sample

1st row2024-05-31 12:05:00.0
2nd row2024-05-15 07:05:00.0
3rd row2024-05-15 09:05:00.0
4th row2024-05-15 06:05:00.0
5th row2024-05-15 08:05:00.0

Common Values

ValueCountFrequency (%)
2024-12-31 02:12:00.0 17
29.3%
2024-05-31 12:05:00.0 15
25.9%
2024-05-15 08:05:00.0 8
13.8%
2024-05-15 06:05:00.0 7
12.1%
2024-05-15 07:05:00.0 5
 
8.6%
2024-05-15 09:05:00.0 1
 
1.7%
2024-05-15 11:05:00.0 1
 
1.7%
2024-05-15 05:05:00.0 1
 
1.7%
2024-05-15 01:05:00.0 1
 
1.7%
2024-05-15 04:05:00.0 1
 
1.7%

Length

2024-05-11T05:29:00.455079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-05-15 25
21.6%
2024-12-31 17
14.7%
02:12:00.0 17
14.7%
2024-05-31 15
12.9%
12:05:00.0 15
12.9%
08:05:00.0 8
 
6.9%
06:05:00.0 7
 
6.0%
07:05:00.0 5
 
4.3%
09:05:00.0 1
 
0.9%
11:05:00.0 1
 
0.9%
Other values (5) 5
 
4.3%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
용산구
58 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용산구 58
100.0%

Length

2024-05-11T05:29:00.954662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:29:01.366049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 58
100.0%

Interactions

2024-05-11T05:28:40.154770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:28:39.385108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:28:40.497451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:28:39.828009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T05:29:01.767367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.6111.0000.8231.0001.0000.8290.7390.8190.6920.8190.705
서비스상태1.0000.6111.0001.0000.3040.8001.0000.7600.9120.8850.9450.8850.833
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.8230.3041.0001.0001.0001.0000.5910.8170.9500.4600.9500.795
장소명1.0001.0000.8001.0001.0001.0001.0001.0001.0001.0001.0001.0000.668
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.8290.7601.0000.5911.0001.0001.0000.9360.7510.9360.7510.635
장소Y좌표1.0000.7390.9121.0000.8171.0001.0000.9361.0000.8970.9950.8970.715
서비스개시시작일시1.0000.8190.8851.0000.9501.0001.0000.7510.8971.0000.9441.0001.000
서비스개시종료일시1.0000.6920.9451.0000.4601.0001.0000.9360.9950.9441.0000.9441.000
접수시작일시1.0000.8190.8851.0000.9501.0001.0000.7510.8971.0000.9441.0001.000
접수종료일시1.0000.7050.8331.0000.7950.6681.0000.6350.7151.0001.0001.0001.000
2024-05-11T05:29:02.318183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스개시시작일시소분류명접수종료일시서비스개시종료일시장소명결제방법접수시작일시서비스상태
서비스개시시작일시1.0000.8300.9240.7090.9050.7251.0000.588
소분류명0.8301.0000.4550.6590.9210.8370.8300.556
접수종료일시0.9240.4551.0000.9240.3290.6170.9240.669
서비스개시종료일시0.7090.6590.9241.0000.9050.1780.7090.712
장소명0.9050.9210.3290.9051.0000.9050.9050.593
결제방법0.7250.8370.6170.1780.9051.0000.7250.099
접수시작일시1.0000.8300.9240.7090.9050.7251.0000.588
서비스상태0.5880.5560.6690.7120.5930.0990.5881.000
2024-05-11T05:29:02.727012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법장소명서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
장소X좌표1.0000.6720.6830.6350.4350.9490.6220.8970.6220.350
장소Y좌표0.6721.0000.6040.6260.4870.9300.5980.8850.5980.445
소분류명0.6830.6041.0000.5560.8370.9210.8300.6590.8300.455
서비스상태0.6350.6260.5561.0000.0990.5930.5880.7120.5880.669
결제방법0.4350.4870.8370.0991.0000.9050.7250.1780.7250.617
장소명0.9490.9300.9210.5930.9051.0000.9050.9050.9050.329
서비스개시시작일시0.6220.5980.8300.5880.7250.9051.0000.7091.0000.924
서비스개시종료일시0.8970.8850.6590.7120.1780.9050.7091.0000.7090.924
접수시작일시0.6220.5980.8300.5880.7250.9051.0000.7091.0000.924
접수종료일시0.3500.4450.4550.6690.6170.3290.9240.9240.9241.000

Missing values

2024-05-11T05:28:41.012315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T05:28:42.098348image/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
0자체S240420110619210859체육시설테니스장예약일시중지이촌 한강공원 테니스장 8번 코트 - 주말, 공휴일유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420110619210859126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
1자체S240428183903384020체육시설테니스장예약마감한남테니스장 10번코트 주말 및 공휴일유료한남테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428183903384020127.0039337.54672024-05-01 00:00:00.02024-05-15 00:00:00.02024-05-01 00:00:00.02024-05-15 07:05:00.0용산구
2자체S240428184130324782체육시설테니스장예약마감한남테니스장 11번코트 공휴일유료한남테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184130324782127.0039337.54672024-05-01 00:00:00.02024-05-15 00:00:00.02024-05-01 00:00:00.02024-05-15 09:05:00.0용산구
3자체S240428184405833607체육시설테니스장예약마감한남테니스장 9번코트주말 및 공휴일유료한남테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184405833607127.0039337.54672024-05-01 00:00:00.02024-05-15 00:00:00.02024-05-01 00:00:00.02024-05-15 06:05:00.0용산구
4자체S240428184917373342체육시설테니스장예약마감한남테니스장 12번코트 공휴일유료한남테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240428184917373342127.0039337.54672024-05-01 00:00:00.02024-05-15 00:00:00.02024-05-01 00:00:00.02024-05-15 08:05:00.0용산구
5자체S240420102801036476체육시설테니스장접수중이촌 한강공원 테니스장 4번 코트 - 평일 주간유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420102801036476126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
6자체S240420103113740282체육시설테니스장접수중이촌 한강공원 테니스장 5번 코트 - 평일 주간유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420103113740282126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
7자체S240420103348110379체육시설테니스장접수중이촌 한강공원 테니스장 6번 코트 - 평일 주간유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420103348110379126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
8자체S240420103743472322체육시설테니스장접수중이촌 한강공원 테니스장 7번 코트 - 평일 주간유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420103743472322126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
9자체S240420103950086958체육시설테니스장예약마감이촌 한강공원 테니스장 8번 코트 - 평일 주간유료이촌 한강공원 테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240420103950086958126.98522637.515432024-05-01 00:00:00.02024-05-31 00:00:00.02024-05-01 00:00:00.02024-05-31 12:05:00.0용산구
서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
48자체S231030160455169521체육시설족구장접수중2024년 족구장7 (원효대교 북단 1)-이촌한강공원유료이촌족구장7,8(원효대교 북단 상류 1,2)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030160455169521126.95246937.5291992023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
49자체S231030161314062401체육시설족구장접수중2024년 족구장8 (원효대교 북단 2)-이촌한강공원유료이촌족구장7,8(원효대교 북단 상류 1,2)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030161314062401126.95246937.5291992023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
50자체S231030143427389658체육시설풋살장접수중2024년 풋살경기장(한남역 방향)-이촌한강공원무료이촌 풋살장(한남역방향)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030143427389658127.00652737.5279952023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
51자체S231101172402707998체육시설농구장접수중2024년 농구장4(청소년광장)-이촌한강공원유료이촌농구(청소년광장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101172402707998126.96457437.5199022023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
52자체S231102140405081839체육시설농구장접수중2024년 농구장5(청소년광장)-이촌한강공원유료이촌농구(청소년광장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231102140405081839126.96457437.5199022023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
53자체S231102141205405203체육시설농구장접수중2024년 농구장6(청소년광장)-이촌한강공원유료이촌농구(청소년광장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231102141205405203126.96457437.5199022023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
54자체S231102141616388478체육시설농구장접수중2024년 농구장7(청소년광장)-이촌한강공원유료이촌농구(청소년광장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231102141616388478126.96457437.5199022023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
55자체S231102141940857900체육시설농구장접수중2024년 농구장8(한강대교북단하류)-이촌한강공원유료이촌농구(청소년광장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231102141940857900126.96457437.5199022023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
56자체S231030142822310122체육시설풋살장접수중2024년 풋살경기장(옥수역하부)-이촌한강공원무료이촌한강공원>풋살경기장(옥수역하부)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231030142822310122127.02042137.5413972023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구
57자체S231101171949791044체육시설농구장접수중2024년 농구장3(인라인장옆)-이촌한강공원유료이촌농구장(인라인장옆)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101171949791044126.97224537.5167912023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0용산구