Overview

Dataset statistics

Number of variables17
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory142.0 B

Variable types

Categorical14
Text3

Dataset

Description서비스구분,서비스ID,대분류명,소분류명,서비스상태,서비스명,결제방법,장소명,서비스대상,바로가기URL,장소X좌표,장소Y좌표,서비스개시시작일시,서비스개시종료일시,접수시작일시,접수종료일시,지역명
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-12084/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
지역명 has constant value ""Constant
장소Y좌표 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
장소X좌표 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
접수시작일시 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
접수종료일시 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
장소명 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
결제방법 is highly overall correlated with 장소명 and 7 other fieldsHigh correlation
서비스대상 is highly overall correlated with 결제방법 and 7 other fieldsHigh correlation
서비스개시시작일시 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
서비스개시종료일시 is highly overall correlated with 소분류명 and 9 other fieldsHigh correlation
소분류명 is highly overall correlated with 서비스상태 and 7 other fieldsHigh correlation
서비스상태 is highly overall correlated with 소분류명 and 7 other fieldsHigh correlation
결제방법 is highly imbalanced (67.0%)Imbalance
서비스대상 is highly imbalanced (75.4%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 07:56:17.094247
Analysis finished2024-05-11 07:56:21.187512
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
자체
33 

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 33
100.0%

Length

2024-05-11T07:56:21.399995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:21.842302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 33
100.0%

서비스ID
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T07:56:22.475653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters627
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowS240330143631559815
2nd rowS240330152339457818
3rd rowS240330153058560898
4th rowS240330153614194307
5th rowS240330154127200896
ValueCountFrequency (%)
s240330143631559815 1
 
3.0%
s240325075518023265 1
 
3.0%
s240227093427835028 1
 
3.0%
s240227092924044107 1
 
3.0%
s240227092530597637 1
 
3.0%
s240227092207962039 1
 
3.0%
s240226173255788268 1
 
3.0%
s240226172846798638 1
 
3.0%
s240226172511752762 1
 
3.0%
s240226171949846023 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T07:56:23.399520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 129
20.6%
0 89
14.2%
4 71
11.3%
1 64
10.2%
3 61
9.7%
5 55
8.8%
7 37
 
5.9%
6 35
 
5.6%
S 33
 
5.3%
8 31
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 594
94.7%
Uppercase Letter 33
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 129
21.7%
0 89
15.0%
4 71
12.0%
1 64
10.8%
3 61
10.3%
5 55
9.3%
7 37
 
6.2%
6 35
 
5.9%
8 31
 
5.2%
9 22
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
S 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 594
94.7%
Latin 33
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 129
21.7%
0 89
15.0%
4 71
12.0%
1 64
10.8%
3 61
10.3%
5 55
9.3%
7 37
 
6.2%
6 35
 
5.9%
8 31
 
5.2%
9 22
 
3.7%
Latin
ValueCountFrequency (%)
S 33
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 129
20.6%
0 89
14.2%
4 71
11.3%
1 64
10.2%
3 61
9.7%
5 55
8.8%
7 37
 
5.9%
6 35
 
5.6%
S 33
 
5.3%
8 31
 
4.9%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
체육시설
33 

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 33
100.0%

Length

2024-05-11T07:56:23.778268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:24.061722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 33
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
테니스장
23 
축구장
5 
풋살장
5 

Length

Max length4
Median length4
Mean length3.6969697
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
테니스장 23
69.7%
축구장 5
 
15.2%
풋살장 5
 
15.2%

Length

2024-05-11T07:56:24.309590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:24.600213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 23
69.7%
축구장 5
 
15.2%
풋살장 5
 
15.2%

서비스상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
예약마감
20 
접수중
13 

Length

Max length4
Median length4
Mean length3.6060606
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예약마감 20
60.6%
접수중 13
39.4%

Length

2024-05-11T07:56:24.980214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:25.311319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예약마감 20
60.6%
접수중 13
39.4%

서비스명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T07:56:25.776130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length30.727273
Min length13

Characters and Unicode

Total characters1014
Distinct characters77
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row5월계남테니스야외코트(평일06시~18시)
2nd row5월계남테니스야외코트(주말 06~18시)
3rd row5월계남테니스실내A코트(평일주간)
4th row5월계남테니스실내A코트(평일야간/주말)
5th row5월계남테니스실내B코트(평일주간)
ValueCountFrequency (%)
5월 13
 
8.9%
신도림테니스장 13
 
8.9%
고척스카이돔 8
 
5.5%
2024년 8
 
5.5%
주말 7
 
4.8%
공휴일 6
 
4.1%
및 6
 
4.1%
접수(19시~21시.조명2시간 6
 
4.1%
야간 6
 
4.1%
접수(07시~19시 6
 
4.1%
Other values (32) 67
45.9%
2024-05-11T07:56:27.152833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
12.9%
2 40
 
3.9%
시 38
 
3.7%
( 37
 
3.6%
) 37
 
3.6%
간 32
 
3.2%
스 31
 
3.1%
일 30
 
3.0%
월 24
 
2.4%
주 24
 
2.4%
Other values (67) 590
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
59.8%
Decimal Number 138
 
13.6%
Space Separator 131
 
12.9%
Open Punctuation 45
 
4.4%
Close Punctuation 45
 
4.4%
Uppercase Letter 18
 
1.8%
Math Symbol 17
 
1.7%
Other Punctuation 14
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 38
 
6.3%
간 32
 
5.3%
스 31
 
5.1%
일 30
 
5.0%
월 24
 
4.0%
주 24
 
4.0%
트 23
 
3.8%
코 23
 
3.8%
장 23
 
3.8%
테 23
 
3.8%
Other values (46) 335
55.3%
Decimal Number
ValueCountFrequency (%)
2 40
29.0%
5 24
17.4%
1 22
15.9%
0 19
13.8%
9 13
 
9.4%
4 8
 
5.8%
7 6
 
4.3%
8 4
 
2.9%
6 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
/ 3
 
21.4%
, 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
33.3%
A 6
33.3%
B 6
33.3%
Open Punctuation
ValueCountFrequency (%)
( 37
82.2%
[ 8
 
17.8%
Close Punctuation
ValueCountFrequency (%)
) 37
82.2%
] 8
 
17.8%
Space Separator
ValueCountFrequency (%)
131
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
59.8%
Common 390
38.5%
Latin 18
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 38
 
6.3%
간 32
 
5.3%
스 31
 
5.1%
일 30
 
5.0%
월 24
 
4.0%
주 24
 
4.0%
트 23
 
3.8%
코 23
 
3.8%
장 23
 
3.8%
테 23
 
3.8%
Other values (46) 335
55.3%
Common
ValueCountFrequency (%)
131
33.6%
2 40
 
10.3%
( 37
 
9.5%
) 37
 
9.5%
5 24
 
6.2%
1 22
 
5.6%
0 19
 
4.9%
~ 17
 
4.4%
9 13
 
3.3%
. 10
 
2.6%
Other values (8) 40
 
10.3%
Latin
ValueCountFrequency (%)
C 6
33.3%
A 6
33.3%
B 6
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
59.8%
ASCII 408
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
32.1%
2 40
 
9.8%
( 37
 
9.1%
) 37
 
9.1%
5 24
 
5.9%
1 22
 
5.4%
0 19
 
4.7%
~ 17
 
4.2%
9 13
 
3.2%
. 10
 
2.5%
Other values (11) 58
14.2%
Hangul
ValueCountFrequency (%)
시 38
 
6.3%
간 32
 
5.3%
스 31
 
5.1%
일 30
 
5.0%
월 24
 
4.0%
주 24
 
4.0%
트 23
 
3.8%
코 23
 
3.8%
장 23
 
3.8%
테 23
 
3.8%
Other values (46) 335
55.3%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
유료
31 
무료
 
2

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 31
93.9%
무료 2
 
6.1%

Length

2024-05-11T07:56:27.988392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:28.436649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 31
93.9%
무료 2
 
6.1%

장소명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
신도림테니스장
13 
계남근린공원
10 
고척스카이돔
8 
계남근린공원>인조잔디축구장
 
1
안양천 체육시설>풋살경기장(구일역 하부)
 
1

Length

Max length22
Median length6
Mean length7.1212121
Min length6

Unique

Unique2 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
신도림테니스장 13
39.4%
계남근린공원 10
30.3%
고척스카이돔 8
24.2%
계남근린공원>인조잔디축구장 1
 
3.0%
안양천 체육시설>풋살경기장(구일역 하부) 1
 
3.0%

Length

2024-05-11T07:56:29.205680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:29.766121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신도림테니스장 13
37.1%
계남근린공원 10
28.6%
고척스카이돔 8
22.9%
계남근린공원>인조잔디축구장 1
 
2.9%
안양천 1
 
2.9%
체육시설>풋살경기장(구일역 1
 
2.9%
하부 1
 
2.9%

서비스대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
제한없음
31 
성인(등록된팀), 청소년(등록된팀)
 
1
제한없음(등록된 팀)
 
1

Length

Max length20
Median length5
Mean length5.6666667
Min length5

Unique

Unique2 ?
Unique (%)6.1%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 31
93.9%
성인(등록된팀), 청소년(등록된팀) 1
 
3.0%
제한없음(등록된 팀) 1
 
3.0%

Length

2024-05-11T07:56:30.462265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:30.927943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 31
88.6%
성인(등록된팀 1
 
2.9%
청소년(등록된팀 1
 
2.9%
제한없음(등록된 1
 
2.9%
팀 1
 
2.9%

바로가기URL
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T07:56:31.921389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters3036
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330143631559815
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330152339457818
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330153058560898
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330153614194307
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330154127200896
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240330143631559815 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240325075518023265 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240227093427835028 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240227092924044107 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240227092530597637 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240227092207962039 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240226173255788268 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240226172846798638 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240226172511752762 1
 
3.0%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240226171949846023 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T07:56:33.717821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 330
 
10.9%
s 231
 
7.6%
/ 165
 
5.4%
r 165
 
5.4%
o 132
 
4.3%
. 132
 
4.3%
t 132
 
4.3%
v 132
 
4.3%
2 129
 
4.2%
i 99
 
3.3%
Other values (29) 1389
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1881
62.0%
Decimal Number 594
 
19.6%
Other Punctuation 363
 
12.0%
Uppercase Letter 99
 
3.3%
Connector Punctuation 66
 
2.2%
Math Symbol 33
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 330
17.5%
s 231
12.3%
r 165
 
8.8%
o 132
 
7.0%
t 132
 
7.0%
v 132
 
7.0%
i 99
 
5.3%
k 66
 
3.5%
d 66
 
3.5%
l 66
 
3.5%
Other values (10) 462
24.6%
Decimal Number
ValueCountFrequency (%)
2 129
21.7%
0 89
15.0%
4 71
12.0%
1 64
10.8%
3 61
10.3%
5 55
9.3%
7 37
 
6.2%
6 35
 
5.9%
8 31
 
5.2%
9 22
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 165
45.5%
. 132
36.4%
? 33
 
9.1%
: 33
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
V 33
33.3%
R 33
33.3%
S 33
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 66
100.0%
Math Symbol
ValueCountFrequency (%)
= 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1980
65.2%
Common 1056
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 330
16.7%
s 231
11.7%
r 165
 
8.3%
o 132
 
6.7%
t 132
 
6.7%
v 132
 
6.7%
i 99
 
5.0%
k 66
 
3.3%
d 66
 
3.3%
l 66
 
3.3%
Other values (13) 561
28.3%
Common
ValueCountFrequency (%)
/ 165
15.6%
. 132
12.5%
2 129
12.2%
0 89
8.4%
4 71
 
6.7%
_ 66
 
6.2%
1 64
 
6.1%
3 61
 
5.8%
5 55
 
5.2%
7 37
 
3.5%
Other values (6) 187
17.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 330
 
10.9%
s 231
 
7.6%
/ 165
 
5.4%
r 165
 
5.4%
o 132
 
4.3%
. 132
 
4.3%
t 132
 
4.3%
v 132
 
4.3%
2 129
 
4.2%
i 99
 
3.3%
Other values (29) 1389
45.8%

장소X좌표
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
126.883234589819
13 
126.85584753847884
10 
126.8669
8 
126.85558854790992
 
1
126.86937274726102
 
1

Length

Max length18
Median length16
Mean length14.787879
Min length8

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row126.85584753847884
2nd row126.85584753847884
3rd row126.85584753847884
4th row126.85584753847884
5th row126.85584753847884

Common Values

ValueCountFrequency (%)
126.883234589819 13
39.4%
126.85584753847884 10
30.3%
126.8669 8
24.2%
126.85558854790992 1
 
3.0%
126.86937274726102 1
 
3.0%

Length

2024-05-11T07:56:34.162323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:34.582563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.883234589819 13
39.4%
126.85584753847884 10
30.3%
126.8669 8
24.2%
126.85558854790992 1
 
3.0%
126.86937274726102 1
 
3.0%

장소Y좌표
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
37.5137612393354
13 
37.51020151253864
10 
37.49683
8 
37.50873991229815
 
1
37.49493348712842
 
1

Length

Max length17
Median length16
Mean length14.424242
Min length8

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row37.51020151253864
2nd row37.51020151253864
3rd row37.51020151253864
4th row37.51020151253864
5th row37.51020151253864

Common Values

ValueCountFrequency (%)
37.5137612393354 13
39.4%
37.51020151253864 10
30.3%
37.49683 8
24.2%
37.50873991229815 1
 
3.0%
37.49493348712842 1
 
3.0%

Length

2024-05-11T07:56:35.118258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:35.471878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.5137612393354 13
39.4%
37.51020151253864 10
30.3%
37.49683 8
24.2%
37.50873991229815 1
 
3.0%
37.49493348712842 1
 
3.0%

서비스개시시작일시
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-21 00:00:00.0
12 
2024-04-20 00:00:00.0
11 
2024-04-23 00:00:00.0
8 
2024-04-15 00:00:00.0
 
1
2021-10-28 00:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row2024-04-20 00:00:00.0
2nd row2024-04-20 00:00:00.0
3rd row2024-04-20 00:00:00.0
4th row2024-04-20 00:00:00.0
5th row2024-04-20 00:00:00.0

Common Values

ValueCountFrequency (%)
2024-04-21 00:00:00.0 12
36.4%
2024-04-20 00:00:00.0 11
33.3%
2024-04-23 00:00:00.0 8
24.2%
2024-04-15 00:00:00.0 1
 
3.0%
2021-10-28 00:00:00.0 1
 
3.0%

Length

2024-05-11T07:56:35.872378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:36.377427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 33
50.0%
2024-04-21 12
 
18.2%
2024-04-20 11
 
16.7%
2024-04-23 8
 
12.1%
2024-04-15 1
 
1.5%
2021-10-28 1
 
1.5%

서비스개시종료일시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-31 00:00:00.0
24 
2024-06-30 00:00:00.0
8 
2024-12-31 00:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
2024-05-31 00:00:00.0 24
72.7%
2024-06-30 00:00:00.0 8
 
24.2%
2024-12-31 00:00:00.0 1
 
3.0%

Length

2024-05-11T07:56:37.009879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:37.345001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 33
50.0%
2024-05-31 24
36.4%
2024-06-30 8
 
12.1%
2024-12-31 1
 
1.5%

접수시작일시
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-25 07:00:00.0
23 
2024-04-23 10:00:00.0
8 
2024-04-15 13:00:00.0
 
1
2024-05-02 10:00:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row2024-04-25 07:00:00.0
2nd row2024-04-25 07:00:00.0
3rd row2024-04-25 07:00:00.0
4th row2024-04-25 07:00:00.0
5th row2024-04-25 07:00:00.0

Common Values

ValueCountFrequency (%)
2024-04-25 07:00:00.0 23
69.7%
2024-04-23 10:00:00.0 8
 
24.2%
2024-04-15 13:00:00.0 1
 
3.0%
2024-05-02 10:00:00.0 1
 
3.0%

Length

2024-05-11T07:56:37.709989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:38.181357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-25 23
34.8%
07:00:00.0 23
34.8%
10:00:00.0 9
 
13.6%
2024-04-23 8
 
12.1%
2024-04-15 1
 
1.5%
13:00:00.0 1
 
1.5%
2024-05-02 1
 
1.5%

접수종료일시
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-31 09:05:00.0
12 
2024-05-30 09:05:00.0
11 
2024-05-29 06:05:00.0
4 
2024-05-28 06:05:00.0
3 
2024-05-29 12:05:00.0
 
1
Other values (2)
2 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row2024-05-30 09:05:00.0
2nd row2024-05-30 09:05:00.0
3rd row2024-05-30 09:05:00.0
4th row2024-05-30 09:05:00.0
5th row2024-05-30 09:05:00.0

Common Values

ValueCountFrequency (%)
2024-05-31 09:05:00.0 12
36.4%
2024-05-30 09:05:00.0 11
33.3%
2024-05-29 06:05:00.0 4
 
12.1%
2024-05-28 06:05:00.0 3
 
9.1%
2024-05-29 12:05:00.0 1
 
3.0%
2024-05-13 05:05:00.0 1
 
3.0%
2024-05-31 06:05:00.0 1
 
3.0%

Length

2024-05-11T07:56:38.715473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:39.080454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:05:00.0 23
34.8%
2024-05-31 13
19.7%
2024-05-30 11
16.7%
06:05:00.0 8
 
12.1%
2024-05-29 5
 
7.6%
2024-05-28 3
 
4.5%
12:05:00.0 1
 
1.5%
2024-05-13 1
 
1.5%
05:05:00.0 1
 
1.5%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
구로구
33 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구로구 33
100.0%

Length

2024-05-11T07:56:39.566411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:56:39.919848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구로구 33
100.0%

Correlations

2024-05-11T07:56:40.200148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.4271.0000.1860.7410.6901.0000.7410.7410.7410.9270.7090.901
서비스상태1.0000.4271.0001.0000.1000.5690.1231.0000.5690.5690.5330.3710.8480.592
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.1860.1001.0001.0001.0001.0001.0001.0001.0001.0000.4341.0001.000
장소명1.0000.7410.5691.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.971
서비스대상1.0000.6900.1231.0001.0001.0001.0001.0001.0001.0001.0000.9351.0001.000
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.7410.5691.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.971
장소Y좌표1.0000.7410.5691.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.971
서비스개시시작일시1.0000.7410.5331.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
서비스개시종료일시1.0000.9270.3711.0000.4341.0000.9351.0001.0001.0001.0001.0001.0001.000
접수시작일시1.0000.7090.8481.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
접수종료일시1.0000.9010.5921.0001.0000.9711.0001.0000.9710.9711.0001.0001.0001.000
2024-05-11T07:56:40.654728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소Y좌표장소X좌표접수시작일시접수종료일시소분류명장소명서비스상태결제방법서비스대상서비스개시시작일시서비스개시종료일시
장소Y좌표1.0001.0000.9830.9390.7121.0000.6530.9500.9660.9770.966
장소X좌표1.0001.0000.9830.9390.7121.0000.6530.9500.9660.9770.966
접수시작일시0.9830.9831.0000.9470.7350.9830.6230.9670.9830.9830.983
접수종료일시0.9390.9390.9471.0000.8410.9390.5810.9160.9310.9640.931
소분류명0.7120.7120.7350.8411.0000.7120.6560.2980.3450.7120.670
장소명1.0001.0000.9830.9390.7121.0000.6530.9500.9660.9770.966
서비스상태0.6530.6530.6230.5810.6560.6531.0000.0560.1950.6120.578
결제방법0.9500.9500.9670.9160.2980.9500.0561.0000.9840.9500.664
서비스대상0.9660.9660.9830.9310.3450.9660.1950.9841.0000.9660.687
서비스개시시작일시0.9770.9770.9830.9640.7120.9770.6120.9500.9661.0000.966
서비스개시종료일시0.9660.9660.9830.9310.6700.9660.5780.6640.6870.9661.000
2024-05-11T07:56:41.366653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명서비스상태결제방법장소명서비스대상장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
소분류명1.0000.6560.2980.7120.3450.7120.7120.7120.6700.7350.841
서비스상태0.6561.0000.0560.6530.1950.6530.6530.6120.5780.6230.581
결제방법0.2980.0561.0000.9500.9840.9500.9500.9500.6640.9670.916
장소명0.7120.6530.9501.0000.9661.0001.0000.9770.9660.9830.939
서비스대상0.3450.1950.9840.9661.0000.9660.9660.9660.6870.9830.931
장소X좌표0.7120.6530.9501.0000.9661.0001.0000.9770.9660.9830.939
장소Y좌표0.7120.6530.9501.0000.9661.0001.0000.9770.9660.9830.939
서비스개시시작일시0.7120.6120.9500.9770.9660.9770.9771.0000.9660.9830.964
서비스개시종료일시0.6700.5780.6640.9660.6870.9660.9660.9661.0000.9830.931
접수시작일시0.7350.6230.9670.9830.9830.9830.9830.9830.9831.0000.947
접수종료일시0.8410.5810.9160.9390.9310.9390.9390.9640.9310.9471.000

Missing values

2024-05-11T07:56:19.794821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T07:56:20.700267image/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
0자체S240330143631559815체육시설테니스장예약마감5월계남테니스야외코트(평일06시~18시)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330143631559815126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
1자체S240330152339457818체육시설테니스장예약마감5월계남테니스야외코트(주말 06~18시)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330152339457818126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
2자체S240330153058560898체육시설테니스장예약마감5월계남테니스실내A코트(평일주간)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330153058560898126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
3자체S240330153614194307체육시설테니스장예약마감5월계남테니스실내A코트(평일야간/주말)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330153614194307126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
4자체S240330154127200896체육시설테니스장예약마감5월계남테니스실내B코트(평일주간)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330154127200896126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
5자체S240330154857492528체육시설테니스장예약마감5월계남테니스실내B코트(평일야간/주말)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330154857492528126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
6자체S240330163013151433체육시설테니스장예약마감5월계남테니스실내C코트(평일주간)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330163013151433126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
7자체S240330170552280028체육시설테니스장예약마감5월계남테니스실내C코트(평일야간/주말)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240330170552280028126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
8자체S240412210459541522체육시설테니스장예약마감5월계남테니스야외코트(평일, 주말 18시~20시)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240412210459541522126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
9자체S240412212605163634체육시설테니스장예약마감5월계남테니스야외코트(평일20~22시)유료계남근린공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240412212605163634126.85584837.5102022024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구
서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
23자체S240226145131201384체육시설테니스장예약마감신도림테니스장 5월 주말 및 공휴일 A코트 야간 접수(19시~21시.조명2시간)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240226145131201384126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
24자체S240226171949846023체육시설테니스장접수중신도림테니스장 5월 평일 B코트 주간 접수(07시~19시)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240226171949846023126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
25자체S240226172511752762체육시설테니스장예약마감신도림테니스장 5월 평일 B코트 야간 접수(19시~21시.조명2시간)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240226172511752762126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
26자체S240226172846798638체육시설테니스장예약마감신도림테니스장 5월 주말 및 공휴일 B코트 주간 접수(07시~19시)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240226172846798638126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
27자체S240226173255788268체육시설테니스장예약마감신도림테니스장 5월 주말 및 공휴일 B코트 야간 접수(19시~21시.조명2시간)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240226173255788268126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
28자체S240227092207962039체육시설테니스장접수중신도림테니스장 5월 평일 C코트 주간 접수(07시~19시)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240227092207962039126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
29자체S240227092530597637체육시설테니스장예약마감신도림테니스장 5월 평일 C코트 야간 접수(19시~21시.조명2시간)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240227092530597637126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
30자체S240227092924044107체육시설테니스장예약마감신도림테니스장 5월 주말 및 공휴일 C코트 주간 접수(07시~19시)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240227092924044107126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
31자체S240227093427835028체육시설테니스장예약마감신도림테니스장 5월 주말 및 공휴일 C코트 야간 접수(19시~21시.조명2시간)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240227093427835028126.88323537.5137612024-04-21 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-31 09:05:00.0구로구
32자체S240501112034901237체육시설테니스장접수중신도림테니스장 5월 강습코트 접수(09시~18시)유료신도림테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240501112034901237126.88323537.5137612024-04-20 00:00:00.02024-05-31 00:00:00.02024-04-25 07:00:00.02024-05-30 09:05:00.0구로구