Overview

Dataset statistics

Number of variables17
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory140.0 B

Variable types

Categorical10
Text3
DateTime4

Dataset

Description서비스구분,서비스ID,대분류명,소분류명,서비스상태,서비스명,결제방법,장소명,서비스대상,바로가기URL,장소X좌표,장소Y좌표,서비스개시시작일시,서비스개시종료일시,접수시작일시,접수종료일시,지역명
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-12090/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 4 other fieldsHigh correlation
장소명 is highly overall correlated with 소분류명 and 4 other fieldsHigh correlation
결제방법 is highly overall correlated with 소분류명 and 4 other fieldsHigh correlation
장소X좌표 is highly overall correlated with 소분류명 and 4 other fieldsHigh correlation
서비스대상 is highly overall correlated with 소분류명 and 5 other fieldsHigh correlation
소분류명 is highly overall correlated with 결제방법 and 4 other fieldsHigh correlation
서비스상태 is highly overall correlated with 서비스대상High correlation
소분류명 is highly imbalanced (51.3%)Imbalance
결제방법 is highly imbalanced (73.0%)Imbalance
서비스대상 is highly imbalanced (64.4%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-03 21:08:55.020595
Analysis finished2024-05-03 21:08:58.123894
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
자체
65 

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 65
100.0%

Length

2024-05-03T21:08:58.368800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:08:58.715777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 65
100.0%

서비스ID
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-03T21:08:59.308676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1235
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowS231208105143407599
2nd rowS231208160336766600
3rd rowS231211171320885915
4th rowS231212111105238745
5th rowS200903171905941615
ValueCountFrequency (%)
s231208105143407599 1
 
1.5%
s240430155449012609 1
 
1.5%
s240430155834886998 1
 
1.5%
s240501114505940659 1
 
1.5%
s240501114936128268 1
 
1.5%
s240501115141520366 1
 
1.5%
s240501115337241532 1
 
1.5%
s240501115534137070 1
 
1.5%
s240502134147421761 1
 
1.5%
s240424165115905287 1
 
1.5%
Other values (55) 55
84.6%
2024-05-03T21:09:00.593468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 204
16.5%
1 199
16.1%
2 162
13.1%
4 133
10.8%
3 132
10.7%
5 101
8.2%
8 75
 
6.1%
S 65
 
5.3%
9 61
 
4.9%
6 57
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1170
94.7%
Uppercase Letter 65
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
17.4%
1 199
17.0%
2 162
13.8%
4 133
11.4%
3 132
11.3%
5 101
8.6%
8 75
 
6.4%
9 61
 
5.2%
6 57
 
4.9%
7 46
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1170
94.7%
Latin 65
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 204
17.4%
1 199
17.0%
2 162
13.8%
4 133
11.4%
3 132
11.3%
5 101
8.6%
8 75
 
6.4%
9 61
 
5.2%
6 57
 
4.9%
7 46
 
3.9%
Latin
ValueCountFrequency (%)
S 65
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 204
16.5%
1 199
16.1%
2 162
13.1%
4 133
10.8%
3 132
10.7%
5 101
8.2%
8 75
 
6.1%
S 65
 
5.3%
9 61
 
4.9%
6 57
 
4.6%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
체육시설
65 

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 65
100.0%

Length

2024-05-03T21:09:01.175968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:01.752122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 65
100.0%

소분류명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
테니스장
49 
축구장
11 
야구장
 
3
풋살장
 
1
족구장
 
1

Length

Max length4
Median length4
Mean length3.7538462
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
테니스장 49
75.4%
축구장 11
 
16.9%
야구장 3
 
4.6%
풋살장 1
 
1.5%
족구장 1
 
1.5%

Length

2024-05-03T21:09:02.057670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:02.457696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 49
75.4%
축구장 11
 
16.9%
야구장 3
 
4.6%
풋살장 1
 
1.5%
족구장 1
 
1.5%

서비스상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
예약마감
30 
접수중
29 
접수종료
6 

Length

Max length4
Median length4
Mean length3.5538462
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예약마감 30
46.2%
접수중 29
44.6%
접수종료 6
 
9.2%

Length

2024-05-03T21:09:02.984307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:03.595988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예약마감 30
46.2%
접수중 29
44.6%
접수종료 6
 
9.2%

서비스명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-03T21:09:04.035211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length36
Mean length24.661538
Min length18

Characters and Unicode

Total characters1603
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row2024년 5월분 보라매공원 인조잔디 축구장(토/일/공휴일 야간)
2nd row2024년 5월 보라매공원 인조잔디 축구장(토/일/공휴일 주간)
3rd row2024년 보라매공원 인조잔디 축구장(평일주간)
4th row2024년 5월 보라매공원 인조잔디 축구장(평일야간)
5th row보라매공원테니스장 1번코트(평일주간)
ValueCountFrequency (%)
33
 
14.0%
보라매공원테니스장 17
 
7.2%
동작테니스장 11
 
4.7%
보라매공원테_5월28일 10
 
4.3%
보라매공원테_5월29일 10
 
4.3%
노량진 9
 
3.8%
9시~18시 9
 
3.8%
낮 9
 
3.8%
평일 7
 
3.0%
축구장 5
 
2.1%
Other values (55) 115
48.9%
2024-05-03T21:09:05.150291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
11.4%
일 82
 
5.1%
) 66
 
4.1%
( 66
 
4.1%
공 55
 
3.4%
코 49
 
3.1%
트 49
 
3.1%
번 49
 
3.1%
테 49
 
3.1%
5 47
 
2.9%
Other values (60) 909
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 981
61.2%
Decimal Number 200
 
12.5%
Space Separator 182
 
11.4%
Close Punctuation 66
 
4.1%
Open Punctuation 66
 
4.1%
Other Punctuation 64
 
4.0%
Connector Punctuation 23
 
1.4%
Math Symbol 15
 
0.9%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 82
 
8.4%
공 55
 
5.6%
코 49
 
5.0%
트 49
 
5.0%
번 49
 
5.0%
테 49
 
5.0%
원 45
 
4.6%
평 44
 
4.5%
장 44
 
4.5%
매 42
 
4.3%
Other values (41) 473
48.2%
Decimal Number
ValueCountFrequency (%)
5 47
23.5%
2 46
23.0%
1 22
11.0%
4 21
10.5%
9 21
10.5%
8 19
9.5%
6 10
 
5.0%
3 9
 
4.5%
0 4
 
2.0%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 37
57.8%
. 26
40.6%
, 1
 
1.6%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 981
61.2%
Common 622
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 82
 
8.4%
공 55
 
5.6%
코 49
 
5.0%
트 49
 
5.0%
번 49
 
5.0%
테 49
 
5.0%
원 45
 
4.6%
평 44
 
4.5%
장 44
 
4.5%
매 42
 
4.3%
Other values (41) 473
48.2%
Common
ValueCountFrequency (%)
182
29.3%
) 66
 
10.6%
( 66
 
10.6%
5 47
 
7.6%
2 46
 
7.4%
/ 37
 
5.9%
. 26
 
4.2%
_ 23
 
3.7%
1 22
 
3.5%
4 21
 
3.4%
Other values (9) 86
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 981
61.2%
ASCII 622
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
29.3%
) 66
 
10.6%
( 66
 
10.6%
5 47
 
7.6%
2 46
 
7.4%
/ 37
 
5.9%
. 26
 
4.2%
_ 23
 
3.7%
1 22
 
3.5%
4 21
 
3.4%
Other values (9) 86
13.8%
Hangul
ValueCountFrequency (%)
일 82
 
8.4%
공 55
 
5.6%
코 49
 
5.0%
트 49
 
5.0%
번 49
 
5.0%
테 49
 
5.0%
원 45
 
4.6%
평 44
 
4.5%
장 44
 
4.5%
매 42
 
4.3%
Other values (41) 473
48.2%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
유료
62 
무료
 
3

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 62
95.4%
무료 3
 
4.6%

Length

2024-05-03T21:09:05.612194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:06.023380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 62
95.4%
무료 3
 
4.6%

장소명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
보라매공원>테니스장
38 
동작구 테니스장
11 
노량진 축구장, 야구장
9 
보라매공원>인조잔디축구장
4 
노들나루공원(노들배수지공원)
 
3

Length

Max length15
Median length10
Mean length10.353846
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보라매공원>인조잔디축구장
2nd row보라매공원>인조잔디축구장
3rd row보라매공원>인조잔디축구장
4th row보라매공원>인조잔디축구장
5th row보라매공원>테니스장

Common Values

ValueCountFrequency (%)
보라매공원>테니스장 38
58.5%
동작구 테니스장 11
 
16.9%
노량진 축구장, 야구장 9
 
13.8%
보라매공원>인조잔디축구장 4
 
6.2%
노들나루공원(노들배수지공원) 3
 
4.6%

Length

2024-05-03T21:09:06.571996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:06.983853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보라매공원>테니스장 38
40.4%
동작구 11
 
11.7%
테니스장 11
 
11.7%
노량진 9
 
9.6%
축구장 9
 
9.6%
야구장 9
 
9.6%
보라매공원>인조잔디축구장 4
 
4.3%
노들나루공원(노들배수지공원 3
 
3.2%

서비스대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
제한없음
57 
제한없음(동작구민 등 구 관련 활동자)
 
4
제한없음((동작구 주민/수강생/재학생/재직자/사업자))
 
3
제한없음(평일주간)
 
1

Length

Max length31
Median length5
Mean length7.3384615
Min length5

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row 제한없음
2nd row 제한없음
3rd row 제한없음(평일주간)
4th row 제한없음
5th row 제한없음

Common Values

ValueCountFrequency (%)
제한없음 57
87.7%
제한없음(동작구민 등 구 관련 활동자) 4
 
6.2%
제한없음((동작구 주민/수강생/재학생/재직자/사업자)) 3
 
4.6%
제한없음(평일주간) 1
 
1.5%

Length

2024-05-03T21:09:07.436498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:07.915217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 57
67.9%
제한없음(동작구민 4
 
4.8%
등 4
 
4.8%
구 4
 
4.8%
관련 4
 
4.8%
활동자 4
 
4.8%
제한없음((동작구 3
 
3.6%
주민/수강생/재학생/재직자/사업자 3
 
3.6%
제한없음(평일주간 1
 
1.2%

바로가기URL
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-03T21:09:08.749297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters5980
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208105143407599
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208160336766600
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231211171320885915
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231212111105238745
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S200903171905941615
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231208105143407599 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240430155449012609 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240430155834886998 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240501114505940659 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240501114936128268 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240501115141520366 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240501115337241532 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240501115534137070 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240502134147421761 1
 
1.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240424165115905287 1
 
1.5%
Other values (55) 55
84.6%
2024-05-03T21:09:10.473875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 650
 
10.9%
s 455
 
7.6%
/ 325
 
5.4%
r 325
 
5.4%
. 260
 
4.3%
o 260
 
4.3%
t 260
 
4.3%
v 260
 
4.3%
0 204
 
3.4%
1 199
 
3.3%
Other values (29) 2782
46.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3705
62.0%
Decimal Number 1170
 
19.6%
Other Punctuation 715
 
12.0%
Uppercase Letter 195
 
3.3%
Connector Punctuation 130
 
2.2%
Math Symbol 65
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 650
17.5%
s 455
12.3%
r 325
 
8.8%
o 260
 
7.0%
t 260
 
7.0%
v 260
 
7.0%
i 195
 
5.3%
d 130
 
3.5%
c 130
 
3.5%
l 130
 
3.5%
Other values (10) 910
24.6%
Decimal Number
ValueCountFrequency (%)
0 204
17.4%
1 199
17.0%
2 162
13.8%
4 133
11.4%
3 132
11.3%
5 101
8.6%
8 75
 
6.4%
9 61
 
5.2%
6 57
 
4.9%
7 46
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 325
45.5%
. 260
36.4%
? 65
 
9.1%
: 65
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 65
33.3%
V 65
33.3%
R 65
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 130
100.0%
Math Symbol
ValueCountFrequency (%)
= 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3900
65.2%
Common 2080
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 650
16.7%
s 455
11.7%
r 325
 
8.3%
o 260
 
6.7%
t 260
 
6.7%
v 260
 
6.7%
i 195
 
5.0%
d 130
 
3.3%
c 130
 
3.3%
l 130
 
3.3%
Other values (13) 1105
28.3%
Common
ValueCountFrequency (%)
/ 325
15.6%
. 260
12.5%
0 204
9.8%
1 199
9.6%
2 162
7.8%
4 133
 
6.4%
3 132
 
6.3%
_ 130
 
6.2%
5 101
 
4.9%
8 75
 
3.6%
Other values (6) 359
17.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 650
 
10.9%
s 455
 
7.6%
/ 325
 
5.4%
r 325
 
5.4%
. 260
 
4.3%
o 260
 
4.3%
t 260
 
4.3%
v 260
 
4.3%
0 204
 
3.4%
1 199
 
3.3%
Other values (29) 2782
46.5%

장소X좌표
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
126.91605
42 
126.97856
11 
126.94176870942796
9 
126.952430150008
 
3

Length

Max length18
Median length9
Mean length10.569231
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.91605
2nd row126.91605
3rd row126.91605
4th row126.91605
5th row126.91605

Common Values

ValueCountFrequency (%)
126.91605 42
64.6%
126.97856 11
 
16.9%
126.94176870942796 9
 
13.8%
126.952430150008 3
 
4.6%

Length

2024-05-03T21:09:11.043700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:11.412836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.91605 42
64.6%
126.97856 11
 
16.9%
126.94176870942796 9
 
13.8%
126.952430150008 3
 
4.6%

장소Y좌표
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
37.49101
42 
37.50368
11 
37.51526855784476
9 
37.5145306282857
 
3

Length

Max length17
Median length8
Mean length9.6153846
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.49101
2nd row37.49101
3rd row37.49101
4th row37.49101
5th row37.49101

Common Values

ValueCountFrequency (%)
37.49101 42
64.6%
37.50368 11
 
16.9%
37.51526855784476 9
 
13.8%
37.5145306282857 3
 
4.6%

Length

2024-05-03T21:09:11.987894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:12.365245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.49101 42
64.6%
37.50368 11
 
16.9%
37.51526855784476 9
 
13.8%
37.5145306282857 3
 
4.6%

서비스개시시작일시
Date

Distinct9
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2022-09-01 00:00:00
Maximum2024-04-26 00:00:00
2024-05-03T21:09:12.704412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T21:09:13.065994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

서비스개시종료일시
Date

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2024-05-31 00:00:00
Maximum2025-09-01 00:00:00
2024-05-03T21:09:13.373855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T21:09:13.800327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

접수시작일시
Date

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2022-09-22 00:00:00
Maximum2024-05-03 11:00:00
2024-05-03T21:09:14.153077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T21:09:14.462073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

접수종료일시
Date

Distinct14
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2024-04-04 11:04:00
Maximum2025-09-01 12:09:00
2024-05-03T21:09:14.777904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T21:09:15.095162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
동작구
65 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작구 65
100.0%

Length

2024-05-03T21:09:15.385866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:09:15.558426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작구 65
100.0%

Correlations

2024-05-03T21:09:15.688311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.5611.0000.6810.9310.6421.0000.7070.7070.8260.8610.8400.806
서비스상태1.0000.5611.0001.0000.1050.5140.5661.0000.3680.3680.9380.6820.8080.831
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.6810.1051.0001.0001.0001.0001.0001.0001.0001.0000.4521.0000.950
장소명1.0000.9310.5141.0001.0001.0000.7691.0001.0001.0000.9820.9701.0000.975
서비스대상1.0000.6420.5661.0001.0000.7691.0001.0000.9380.9381.0000.7171.0000.983
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.7070.3681.0001.0001.0000.9381.0001.0001.0000.9840.8151.0000.983
장소Y좌표1.0000.7070.3681.0001.0001.0000.9381.0001.0001.0000.9840.8151.0000.983
서비스개시시작일시1.0000.8260.9381.0001.0000.9821.0001.0000.9840.9841.0000.9590.9860.987
서비스개시종료일시1.0000.8610.6821.0000.4520.9700.7171.0000.8150.8150.9591.0000.9580.960
접수시작일시1.0000.8400.8081.0001.0001.0001.0001.0001.0001.0000.9860.9581.0000.999
접수종료일시1.0000.8060.8311.0000.9500.9750.9831.0000.9830.9830.9870.9600.9991.000
2024-05-03T21:09:15.956479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명장소Y좌표장소명결제방법장소X좌표서비스상태서비스대상
소분류명1.0000.6390.6340.7940.6390.4960.566
장소Y좌표0.6391.0000.9920.9841.0000.3540.667
장소명0.6340.9921.0000.9760.9920.4430.713
결제방법0.7940.9840.9761.0000.9840.1710.984
장소X좌표0.6391.0000.9920.9841.0000.3540.667
서비스상태0.4960.3540.4430.1710.3541.0000.569
서비스대상0.5660.6670.7130.9840.6670.5691.000
2024-05-03T21:09:16.225671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명서비스상태결제방법장소명서비스대상장소X좌표장소Y좌표
소분류명1.0000.4960.7940.6340.5660.6390.639
서비스상태0.4961.0000.1710.4430.5690.3540.354
결제방법0.7940.1711.0000.9760.9840.9840.984
장소명0.6340.4430.9761.0000.7130.9920.992
서비스대상0.5660.5690.9840.7131.0000.6670.667
장소X좌표0.6390.3540.9840.9920.6671.0001.000
장소Y좌표0.6390.3540.9840.9920.6671.0001.000

Missing values

2024-05-03T21:08:56.787271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T21:08:57.763200image/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
0자체S231208105143407599체육시설축구장접수종료2024년 5월분 보라매공원 인조잔디 축구장(토/일/공휴일 야간)유료보라매공원>인조잔디축구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208105143407599126.9160537.491012023-12-01 00:00:00.02024-12-29 00:00:00.02024-04-15 10:00:00.02024-04-17 11:04:00.0동작구
1자체S231208160336766600체육시설축구장접수종료2024년 5월 보라매공원 인조잔디 축구장(토/일/공휴일 주간)유료보라매공원>인조잔디축구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231208160336766600126.9160537.491012023-12-01 00:00:00.02024-12-31 00:00:00.02024-04-15 10:00:00.02024-04-17 11:04:00.0동작구
2자체S231211171320885915체육시설축구장접수중2024년 보라매공원 인조잔디 축구장(평일주간)유료보라매공원>인조잔디축구장제한없음(평일주간)https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231211171320885915126.9160537.491012023-12-12 00:00:00.02024-12-31 00:00:00.02023-12-14 00:00:00.02024-12-31 03:12:00.0동작구
3자체S231212111105238745체육시설축구장예약마감2024년 5월 보라매공원 인조잔디 축구장(평일야간)유료보라매공원>인조잔디축구장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231212111105238745126.9160537.491012024-01-01 00:00:00.02024-12-31 00:00:00.02024-04-15 10:00:00.02024-05-31 07:05:00.0동작구
4자체S200903171905941615체육시설테니스장접수중보라매공원테니스장 1번코트(평일주간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S200903171905941615126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
5자체S201030095955674906체육시설테니스장접수중보라매공원테니스장 2번코트(평일주간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S201030095955674906126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
6자체S201030100749834127체육시설테니스장접수중보라매공원테니스장 3번코트(평일주간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S201030100749834127126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
7자체S201030101119569374체육시설테니스장접수중보라매공원테니스장 4번코트(평일주간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S201030101119569374126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
8자체S201030101340919783체육시설테니스장접수중보라매공원테니스장 5번코트(평일주간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S201030101340919783126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
9자체S201030102944573871체육시설테니스장예약마감보라매공원테니스장 1번코트(평일야간)유료보라매공원>테니스장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S201030102944573871126.9160537.491012022-09-01 00:00:00.02025-09-01 00:00:00.02022-09-22 00:00:00.02025-09-01 07:09:00.0동작구
서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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