Overview

Dataset statistics

Number of variables17
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory140.2 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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-12163/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
지역명 has constant value ""Constant
장소X좌표 is highly overall correlated with 장소명High correlation
장소Y좌표 is highly overall correlated with 장소명High correlation
소분류명 is highly overall correlated with 결제방법High correlation
서비스상태 is highly overall correlated with 장소명High correlation
결제방법 is highly overall correlated with 소분류명 and 1 other fieldsHigh correlation
장소명 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
서비스대상 is highly imbalanced (54.0%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 07:04:38.348844
Analysis finished2024-05-11 07:04:42.644250
Duration4.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
자체
60 

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 60
100.0%

Length

2024-05-11T07:04:42.913150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:43.411010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 60
100.0%

서비스ID
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T07:04:44.108179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters1140
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowS240502132458348646
2nd rowS240429103953151706
3rd rowS240422113102019772
4th rowS240429102556018422
5th rowS240429103104294035
ValueCountFrequency (%)
s240502132458348646 1
 
1.7%
s240429103953151706 1
 
1.7%
s240103222053988521 1
 
1.7%
s240103224055214933 1
 
1.7%
s240103223437517512 1
 
1.7%
s240103211457958254 1
 
1.7%
s240103203708390100 1
 
1.7%
s240103215445601596 1
 
1.7%
s240103215634558195 1
 
1.7%
s240103212815199864 1
 
1.7%
Other values (50) 50
83.3%
2024-05-11T07:04:45.363818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 189
16.6%
0 181
15.9%
1 172
15.1%
4 132
11.6%
3 119
10.4%
5 72
 
6.3%
9 61
 
5.4%
S 60
 
5.3%
8 53
 
4.6%
6 51
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1080
94.7%
Uppercase Letter 60
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 189
17.5%
0 181
16.8%
1 172
15.9%
4 132
12.2%
3 119
11.0%
5 72
 
6.7%
9 61
 
5.6%
8 53
 
4.9%
6 51
 
4.7%
7 50
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1080
94.7%
Latin 60
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 189
17.5%
0 181
16.8%
1 172
15.9%
4 132
12.2%
3 119
11.0%
5 72
 
6.7%
9 61
 
5.6%
8 53
 
4.9%
6 51
 
4.7%
7 50
 
4.6%
Latin
ValueCountFrequency (%)
S 60
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 189
16.6%
0 181
15.9%
1 172
15.1%
4 132
11.6%
3 119
10.4%
5 72
 
6.3%
9 61
 
5.4%
S 60
 
5.3%
8 53
 
4.6%
6 51
 
4.5%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
공간시설
60 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공간시설 60
100.0%

Length

2024-05-11T07:04:46.022556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:46.379680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공간시설 60
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
강의실
25 
다목적실
10 
강당
민원 등 기타
회의실
Other values (3)

Length

Max length7
Median length6
Mean length3.65
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민원 등 기타
2nd row회의실
3rd row민원 등 기타
4th row강의실
5th row회의실

Common Values

ValueCountFrequency (%)
강의실 25
41.7%
다목적실 10
 
16.7%
강당 7
 
11.7%
민원 등 기타 6
 
10.0%
회의실 4
 
6.7%
청년공간 4
 
6.7%
주민공유공간 2
 
3.3%
녹화장소 2
 
3.3%

Length

2024-05-11T07:04:46.752365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:47.453029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강의실 25
34.7%
다목적실 10
 
13.9%
강당 7
 
9.7%
민원 6
 
8.3%
6
 
8.3%
기타 6
 
8.3%
회의실 4
 
5.6%
청년공간 4
 
5.6%
주민공유공간 2
 
2.8%
녹화장소 2
 
2.8%

서비스상태
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
접수중
45 
예약일시중지
10 
접수종료
 
3
예약마감
 
2

Length

Max length6
Median length3
Mean length3.5833333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 45
75.0%
예약일시중지 10
 
16.7%
접수종료 3
 
5.0%
예약마감 2
 
3.3%

Length

2024-05-11T07:04:48.004065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:48.464342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 45
75.0%
예약일시중지 10
 
16.7%
접수종료 3
 
5.0%
예약마감 2
 
3.3%

서비스명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T07:04:49.044119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length23.3
Min length13

Characters and Unicode

Total characters1398
Distinct characters116
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row양천공원 키지트 온라인 사전예약 (06/11-06/23)
2nd row양천구평생학습관 세미나실
3rd row양천공원 키지트 온라인 사전예약 (05/28-06/09)
4th row양천구평생학습관 배움나눔실3
5th row양천구평생학습관 함께모임실
ValueCountFrequency (%)
2024년 47
19.3%
양천구 44
 
18.0%
자치회관 9
 
3.7%
다목적홀 6
 
2.5%
양천공원 4
 
1.6%
다목적실 4
 
1.6%
키지트 4
 
1.6%
신월6동 4
 
1.6%
양천구평생학습관 4
 
1.6%
사전예약 4
 
1.6%
Other values (77) 114
46.7%
2024-05-11T07:04:50.355888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
13.2%
2 116
 
8.3%
0 58
 
4.1%
56
 
4.0%
56
 
4.0%
4 55
 
3.9%
51
 
3.6%
49
 
3.5%
48
 
3.4%
46
 
3.3%
Other values (106) 678
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
61.9%
Decimal Number 296
 
21.2%
Space Separator 185
 
13.2%
Close Punctuation 13
 
0.9%
Open Punctuation 13
 
0.9%
Other Punctuation 8
 
0.6%
Dash Punctuation 7
 
0.5%
Connector Punctuation 4
 
0.3%
Math Symbol 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
6.5%
56
 
6.5%
51
 
5.9%
49
 
5.7%
48
 
5.5%
46
 
5.3%
44
 
5.1%
44
 
5.1%
43
 
5.0%
37
 
4.3%
Other values (87) 392
45.3%
Decimal Number
ValueCountFrequency (%)
2 116
39.2%
0 58
19.6%
4 55
18.6%
1 22
 
7.4%
3 14
 
4.7%
5 13
 
4.4%
6 11
 
3.7%
7 5
 
1.7%
8 1
 
0.3%
9 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
61.9%
Common 529
37.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
6.5%
56
 
6.5%
51
 
5.9%
49
 
5.7%
48
 
5.5%
46
 
5.3%
44
 
5.1%
44
 
5.1%
43
 
5.0%
37
 
4.3%
Other values (87) 392
45.3%
Common
ValueCountFrequency (%)
185
35.0%
2 116
21.9%
0 58
 
11.0%
4 55
 
10.4%
1 22
 
4.2%
3 14
 
2.6%
) 13
 
2.5%
5 13
 
2.5%
( 13
 
2.5%
6 11
 
2.1%
Other values (7) 29
 
5.5%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
61.9%
ASCII 532
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
34.8%
2 116
21.8%
0 58
 
10.9%
4 55
 
10.3%
1 22
 
4.1%
3 14
 
2.6%
) 13
 
2.4%
5 13
 
2.4%
( 13
 
2.4%
6 11
 
2.1%
Other values (9) 32
 
6.0%
Hangul
ValueCountFrequency (%)
56
 
6.5%
56
 
6.5%
51
 
5.9%
49
 
5.7%
48
 
5.5%
46
 
5.3%
44
 
5.1%
44
 
5.1%
43
 
5.0%
37
 
4.3%
Other values (87) 392
45.3%

결제방법
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
유료
44 
무료
11 
유료(요금안내문의)

Length

Max length10
Median length2
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row무료
4th row유료(요금안내문의)
5th row무료

Common Values

ValueCountFrequency (%)
유료 44
73.3%
무료 11
 
18.3%
유료(요금안내문의) 5
 
8.3%

Length

2024-05-11T07:04:50.929163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:51.314103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 44
73.3%
무료 11
 
18.3%
유료(요금안내문의 5
 
8.3%

장소명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
양천공원 통합놀이터 키지트
 
4
신월6동 자치회관
 
4
양천구평생학습관
 
4
신정1동 자치회관
 
3
신정3동 자치회관
 
3
Other values (23)
42 

Length

Max length22
Median length19
Mean length9.3166667
Min length6

Unique

Unique8 ?
Unique (%)13.3%

Sample

1st row양천공원 통합놀이터 키지트
2nd row양천구평생학습관
3rd row양천공원 통합놀이터 키지트
4th row양천구평생학습관
5th row양천구평생학습관

Common Values

ValueCountFrequency (%)
양천공원 통합놀이터 키지트 4
 
6.7%
신월6동 자치회관 4
 
6.7%
양천구평생학습관 4
 
6.7%
신정1동 자치회관 3
 
5.0%
신정3동 자치회관 3
 
5.0%
목5동 자치회관 3
 
5.0%
신정2동 자치회관 3
 
5.0%
서울청년센터 양천 3
 
5.0%
신월7동자치회관 3
 
5.0%
건강힐링센터 2
 
3.3%
Other values (18) 28
46.7%

Length

2024-05-11T07:04:51.762980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자치회관 25
25.0%
양천공원 4
 
4.0%
키지트 4
 
4.0%
신월6동 4
 
4.0%
양천구평생학습관 4
 
4.0%
통합놀이터 4
 
4.0%
신정3동 4
 
4.0%
양천 3
 
3.0%
신월2동 3
 
3.0%
신월7동자치회관 3
 
3.0%
Other values (23) 42
42.0%

서비스대상
Categorical

IMBALANCE 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
제한없음
46 
청년
 
4
제한없음(최소 인원 3명(규정 엄수))
 
3
어린이(9세 미만), 유아
 
3
성인, 어린이(9세 미만), 유아
 
1
Other values (3)
 
3

Length

Max length25
Median length5
Mean length7.2333333
Min length3

Unique

Unique4 ?
Unique (%)6.7%

Sample

1st row 성인, 어린이(9세 미만), 유아
2nd row 제한없음(최소 인원 3명(규정 엄수))
3rd row 어린이(9세 미만), 유아
4th row 제한없음
5th row 제한없음(최소 인원 3명(규정 엄수))

Common Values

ValueCountFrequency (%)
제한없음 46
76.7%
청년 4
 
6.7%
제한없음(최소 인원 3명(규정 엄수)) 3
 
5.0%
어린이(9세 미만), 유아 3
 
5.0%
성인, 어린이(9세 미만), 유아 1
 
1.7%
제한없음(상세보기참조) 1
 
1.7%
제한없음(서울시관련시민 - 상세정보 확인) 1
 
1.7%
제한없음(서울시 관련시민 - 상세정보 확인) 1
 
1.7%

Length

2024-05-11T07:04:52.199281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:52.639466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 46
54.1%
어린이(9세 4
 
4.7%
청년 4
 
4.7%
미만 4
 
4.7%
유아 4
 
4.7%
엄수 3
 
3.5%
3명(규정 3
 
3.5%
인원 3
 
3.5%
제한없음(최소 3
 
3.5%
2
 
2.4%
Other values (7) 9
 
10.6%

바로가기URL
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T07:04:53.702461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters5520
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240502132458348646
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429103953151706
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240422113102019772
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429102556018422
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429103104294035
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240502132458348646 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240429103953151706 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103222053988521 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103224055214933 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103223437517512 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103211457958254 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103203708390100 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103215445601596 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103215634558195 1
 
1.7%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240103212815199864 1
 
1.7%
Other values (50) 50
83.3%
2024-05-11T07:04:55.284420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 600
 
10.9%
s 420
 
7.6%
/ 300
 
5.4%
r 300
 
5.4%
t 240
 
4.3%
. 240
 
4.3%
o 240
 
4.3%
v 240
 
4.3%
2 189
 
3.4%
0 181
 
3.3%
Other values (29) 2570
46.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3420
62.0%
Decimal Number 1080
 
19.6%
Other Punctuation 660
 
12.0%
Uppercase Letter 180
 
3.3%
Connector Punctuation 120
 
2.2%
Math Symbol 60
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 600
17.5%
s 420
12.3%
r 300
 
8.8%
t 240
 
7.0%
o 240
 
7.0%
v 240
 
7.0%
i 180
 
5.3%
w 120
 
3.5%
d 120
 
3.5%
c 120
 
3.5%
Other values (10) 840
24.6%
Decimal Number
ValueCountFrequency (%)
2 189
17.5%
0 181
16.8%
1 172
15.9%
4 132
12.2%
3 119
11.0%
5 72
 
6.7%
9 61
 
5.6%
8 53
 
4.9%
6 51
 
4.7%
7 50
 
4.6%
Other Punctuation
ValueCountFrequency (%)
/ 300
45.5%
. 240
36.4%
? 60
 
9.1%
: 60
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 60
33.3%
V 60
33.3%
R 60
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 120
100.0%
Math Symbol
ValueCountFrequency (%)
= 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3600
65.2%
Common 1920
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 600
16.7%
s 420
11.7%
r 300
 
8.3%
t 240
 
6.7%
o 240
 
6.7%
v 240
 
6.7%
i 180
 
5.0%
w 120
 
3.3%
d 120
 
3.3%
c 120
 
3.3%
Other values (13) 1020
28.3%
Common
ValueCountFrequency (%)
/ 300
15.6%
. 240
12.5%
2 189
9.8%
0 181
9.4%
1 172
9.0%
4 132
 
6.9%
_ 120
 
6.2%
3 119
 
6.2%
5 72
 
3.8%
9 61
 
3.2%
Other values (6) 334
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 600
 
10.9%
s 420
 
7.6%
/ 300
 
5.4%
r 300
 
5.4%
t 240
 
4.3%
. 240
 
4.3%
o 240
 
4.3%
v 240
 
4.3%
2 189
 
3.4%
0 181
 
3.3%
Other values (29) 2570
46.6%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.8559
Minimum126.82717
Maximum126.88172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T07:04:56.069010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82717
5-th percentile126.83015
Q1126.84138
median126.85774
Q3126.86814
95-th percentile126.87753
Maximum126.88172
Range0.054543962
Interquartile range (IQR)0.026765629

Descriptive statistics

Standard deviation0.015525093
Coefficient of variation (CV)0.00012238369
Kurtosis-1.0265377
Mean126.8559
Median Absolute Deviation (MAD)0.013053065
Skewness-0.23258488
Sum7611.354
Variance0.00024102851
MonotonicityNot monotonic
2024-05-11T07:04:56.689207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.86805669034564 4
 
6.7%
126.86048 4
 
6.7%
126.8409606665 4
 
6.7%
126.83470978209404 3
 
5.0%
126.87731 3
 
5.0%
126.85428642000242 3
 
5.0%
126.87067378257848 3
 
5.0%
126.88171745359833 3
 
5.0%
126.8445676534553 3
 
5.0%
126.85479077037304 3
 
5.0%
Other values (17) 27
45.0%
ValueCountFrequency (%)
126.82717349185975 2
3.3%
126.82908115200796 1
 
1.7%
126.83021 1
 
1.7%
126.83152683820374 2
3.3%
126.83470978209404 3
5.0%
126.84007935607524 2
3.3%
126.8409606665 4
6.7%
126.84151470886484 1
 
1.7%
126.8445676534553 3
5.0%
126.84585 2
3.3%
ValueCountFrequency (%)
126.88171745359833 3
5.0%
126.87731 3
5.0%
126.87170002271812 2
3.3%
126.871557023429 1
 
1.7%
126.87118853037587 2
3.3%
126.87067378257848 3
5.0%
126.86839723912246 1
 
1.7%
126.86805669034564 4
6.7%
126.86443774153076 2
3.3%
126.86438829216875 2
3.3%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.525351
Minimum37.511433
Maximum37.54827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T07:04:57.483225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.511433
5-th percentile37.514538
Q137.518348
median37.524579
Q337.530882
95-th percentile37.545435
Maximum37.54827
Range0.03683736
Interquartile range (IQR)0.012533574

Descriptive statistics

Standard deviation0.0097439081
Coefficient of variation (CV)0.00025966201
Kurtosis-0.2005989
Mean37.525351
Median Absolute Deviation (MAD)0.0062310874
Skewness0.85738672
Sum2251.5211
Variance9.4943745 × 10-5
MonotonicityNot monotonic
2024-05-11T07:04:58.253641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.51834828002767 4
 
6.7%
37.52644 4
 
6.7%
37.5145457628 4
 
6.7%
37.52188215213267 3
 
5.0%
37.5246 3
 
5.0%
37.51857061433107 3
 
5.0%
37.519213188200986 3
 
5.0%
37.53718352231085 3
 
5.0%
37.524973358328765 3
 
5.0%
37.51514742485221 3
 
5.0%
Other values (17) 27
45.0%
ValueCountFrequency (%)
37.51143264033747 1
 
1.7%
37.51440008334436 2
3.3%
37.5145457628 4
6.7%
37.51514742485221 3
5.0%
37.51705814824047 2
3.3%
37.51759 2
3.3%
37.51834828002767 4
6.7%
37.51857061433107 3
5.0%
37.51890151695658 1
 
1.7%
37.519213188200986 3
5.0%
ValueCountFrequency (%)
37.54827 1
 
1.7%
37.54614341156294 2
3.3%
37.5453981303132 1
 
1.7%
37.54474055185033 2
3.3%
37.538583120913565 2
3.3%
37.53718352231085 3
5.0%
37.53363039980231 1
 
1.7%
37.53280499406471 2
3.3%
37.53243377242128 1
 
1.7%
37.5303645482541 2
3.3%
Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2023-05-23 00:00:00
Maximum2024-05-06 00:00:00
2024-05-11T07:04:58.996776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:04:59.477718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
Distinct7
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2024-05-12 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T07:04:59.820757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:05:00.360072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
Distinct15
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2023-05-23 00:00:00
Maximum2024-05-06 09:00:00
2024-05-11T07:05:00.865890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:05:01.266938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2024-01-03 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T07:05:01.681004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:05:02.052166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
양천구
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천구 60
100.0%

Length

2024-05-11T07:05:02.444402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:05:02.808778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천구 60
100.0%

Interactions

2024-05-11T07:04:40.536358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:04:39.914548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:04:40.826141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:04:40.195961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T07:05:03.106974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.4691.0000.6930.8820.8661.0000.5620.3990.6770.4750.7240.717
서비스상태1.0000.4691.0001.0000.2030.9300.6461.0000.3540.5520.6050.5170.8010.773
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.6930.2031.0001.0000.8940.6371.0000.3960.5150.6930.5700.9430.876
장소명1.0000.8820.9301.0000.8941.0000.9061.0001.0001.0000.9110.0000.9220.807
서비스대상1.0000.8660.6461.0000.6370.9061.0001.0000.5430.4350.9020.8410.9460.880
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.5620.3541.0000.3961.0000.5431.0001.0000.7970.7150.2850.7830.490
장소Y좌표1.0000.3990.5521.0000.5151.0000.4351.0000.7971.0000.5680.4230.6160.412
서비스개시시작일시1.0000.6770.6051.0000.6930.9110.9021.0000.7150.5681.0000.9401.0000.957
서비스개시종료일시1.0000.4750.5171.0000.5700.0000.8411.0000.2850.4230.9401.0001.0001.000
접수시작일시1.0000.7240.8011.0000.9430.9220.9461.0000.7830.6161.0001.0001.0000.991
접수종료일시1.0000.7170.7731.0000.8760.8070.8801.0000.4900.4120.9571.0000.9911.000
2024-05-11T07:05:03.696116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명장소명서비스상태결제방법서비스대상
소분류명1.0000.4580.2110.5500.465
장소명0.4581.0000.5300.5500.498
서비스상태0.2110.5301.0000.1890.319
결제방법0.5500.5500.1891.0000.486
서비스대상0.4650.4980.3190.4861.000
2024-05-11T07:05:03.995286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법장소명서비스대상
장소X좌표1.0000.2080.2990.2000.2380.8000.286
장소Y좌표0.2081.0000.2000.3670.2460.7920.223
소분류명0.2990.2001.0000.2110.5500.4580.465
서비스상태0.2000.3670.2111.0000.1890.5300.319
결제방법0.2380.2460.5500.1891.0000.5500.486
장소명0.8000.7920.4580.5300.5501.0000.498
서비스대상0.2860.2230.4650.3190.4860.4981.000

Missing values

2024-05-11T07:04:41.438970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T07:04:42.270824image/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
0자체S240502132458348646공간시설민원 등 기타접수중양천공원 키지트 온라인 사전예약 (06/11-06/23)무료양천공원 통합놀이터 키지트성인, 어린이(9세 미만), 유아https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240502132458348646126.86805737.5183482024-05-06 00:00:00.02024-06-23 00:00:00.02024-05-06 09:00:00.02024-06-21 17:00:00.0양천구
1자체S240429103953151706공간시설회의실접수중양천구평생학습관 세미나실무료양천구평생학습관제한없음(최소 인원 3명(규정 엄수))https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429103953151706126.8604837.526442024-04-29 00:00:00.02024-05-31 00:00:00.02024-04-30 10:00:00.02024-05-29 23:59:00.0양천구
2자체S240422113102019772공간시설민원 등 기타접수중양천공원 키지트 온라인 사전예약 (05/28-06/09)무료양천공원 통합놀이터 키지트어린이(9세 미만), 유아https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240422113102019772126.86805737.5183482024-04-29 00:00:00.02024-06-09 00:00:00.02024-04-29 09:00:00.02024-06-07 16:01:00.0양천구
3자체S240429102556018422공간시설강의실접수중양천구평생학습관 배움나눔실3유료(요금안내문의)양천구평생학습관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429102556018422126.8604837.526442024-04-29 00:00:00.02024-05-31 00:00:00.02024-04-30 10:00:00.02024-05-29 23:59:00.0양천구
4자체S240429103104294035공간시설회의실접수중양천구평생학습관 함께모임실무료양천구평생학습관제한없음(최소 인원 3명(규정 엄수))https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429103104294035126.8604837.526442024-04-29 00:00:00.02024-05-31 00:00:00.02024-04-30 10:00:00.02024-05-29 23:59:00.0양천구
5자체S240429101301970847공간시설강의실접수중양천구평생학습관 배움나눔실1유료(요금안내문의)양천구평생학습관제한없음(최소 인원 3명(규정 엄수))https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429101301970847126.8604837.526442024-04-29 00:00:00.02024-05-31 00:00:00.02024-04-30 10:00:00.02024-05-29 23:59:00.0양천구
6자체S240418091912407198공간시설민원 등 기타접수종료양천공원 키지트 온라인 사전예약 (05/14-05/26)무료양천공원 통합놀이터 키지트어린이(9세 미만), 유아https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240418091912407198126.86805737.5183482024-04-22 00:00:00.02024-05-26 00:00:00.02024-04-22 09:00:00.02024-05-24 13:00:00.0양천구
7자체S240408094501074687공간시설민원 등 기타접수종료양천공원 키지트 온라인 사전예약 (04/30-05/12)무료양천공원 통합놀이터 키지트어린이(9세 미만), 유아https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240408094501074687126.86805737.5183482024-04-15 00:00:00.02024-05-12 00:00:00.02024-04-15 09:00:00.02024-05-03 16:00:00.0양천구
8자체S240118172520296011공간시설강의실접수중2024년 양천구 신월7동 자치회관 강의실(프로그램2)유료신월7동자치회관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240118172520296011126.8347137.5218822024-01-18 00:00:00.02024-12-31 00:00:00.02024-01-18 00:00:00.02024-12-31 00:00:00.0양천구
9자체S240118172026760532공간시설강의실접수중2024년 양천구 신월7동 자치회관 강의실(프로그램1)유료신월7동자치회관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240118172026760532126.8347137.5218822024-01-18 00:00:00.02024-12-31 00:00:00.02024-01-18 00:00:00.02024-12-31 00:00:00.0양천구
서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
50자체S240104093400369240공간시설강의실예약일시중지2024년 양천구 신정6동자치회관 제1강의실유료신정6동자치회관제한없음(서울시관련시민 - 상세정보 확인)https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240104093400369240126.86438837.5170582024-01-01 00:00:00.02024-12-31 00:00:00.02024-01-04 00:00:00.02024-12-31 00:00:00.0양천구
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52자체S240104095710656606공간시설다목적실접수중2024년 건간힐링센터_다목적실_대관유료(요금안내문의)건강힐링센터제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240104095710656606126.8458537.517592024-01-01 00:00:00.02024-12-31 00:00:00.02024-01-01 10:00:00.02024-12-20 16:00:00.0양천구
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