Overview

Dataset statistics

Number of variables17
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory141.0 B

Variable types

Categorical7
Text4
Numeric2
DateTime4

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-12211/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 서비스상태High correlation
장소Y좌표 is highly overall correlated with 서비스상태High correlation
서비스상태 is highly overall correlated with 장소X좌표 and 1 other fieldsHigh correlation
결제방법 is highly imbalanced (58.2%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 01:50:39.019897
Analysis finished2024-05-11 01:50:42.420362
Duration3.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
자체
44 

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 44
100.0%

Length

2024-05-11T01:50:42.659306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:42.997732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 44
100.0%

서비스ID
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T01:50:43.421795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters836
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowS240417104625379575
2nd rowS240409162308595665
3rd rowS240202094902083671
4th rowS240201152217571294
5th rowS240201153828421138
ValueCountFrequency (%)
s240417104625379575 1
 
2.3%
s240409162308595665 1
 
2.3%
s230111110930783508 1
 
2.3%
s240215140359192237 1
 
2.3%
s240131165044747179 1
 
2.3%
s240130162355001277 1
 
2.3%
s240130163357104438 1
 
2.3%
s240130163820740741 1
 
2.3%
s231228091208598079 1
 
2.3%
s231228091417759543 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T01:50:44.249066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 148
17.7%
2 127
15.2%
0 123
14.7%
3 77
9.2%
4 72
8.6%
5 61
7.3%
7 49
 
5.9%
9 48
 
5.7%
6 47
 
5.6%
S 44
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 792
94.7%
Uppercase Letter 44
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 148
18.7%
2 127
16.0%
0 123
15.5%
3 77
9.7%
4 72
9.1%
5 61
7.7%
7 49
 
6.2%
9 48
 
6.1%
6 47
 
5.9%
8 40
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
S 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
94.7%
Latin 44
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 148
18.7%
2 127
16.0%
0 123
15.5%
3 77
9.7%
4 72
9.1%
5 61
7.7%
7 49
 
6.2%
9 48
 
6.1%
6 47
 
5.9%
8 40
 
5.1%
Latin
ValueCountFrequency (%)
S 44
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 148
17.7%
2 127
15.2%
0 123
14.7%
3 77
9.2%
4 72
8.6%
5 61
7.3%
7 49
 
5.9%
9 48
 
5.7%
6 47
 
5.6%
S 44
 
5.3%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
공간시설
44 

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 44
100.0%

Length

2024-05-11T01:50:44.639985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:44.917900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공간시설 44
100.0%

소분류명
Categorical

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
청년공간
12 
강당
11 
다목적실
7 
회의실
6 
녹화장소
4 
Other values (2)
4 

Length

Max length7
Median length4
Mean length3.3636364
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row회의실
2nd row녹화장소
3rd row청년공간
4th row청년공간
5th row청년공간

Common Values

ValueCountFrequency (%)
청년공간 12
27.3%
강당 11
25.0%
다목적실 7
15.9%
회의실 6
13.6%
녹화장소 4
 
9.1%
강의실 3
 
6.8%
민원 등 기타 1
 
2.3%

Length

2024-05-11T01:50:45.150000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:45.425315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청년공간 12
26.1%
강당 11
23.9%
다목적실 7
15.2%
회의실 6
13.0%
녹화장소 4
 
8.7%
강의실 3
 
6.5%
민원 1
 
2.2%
등 1
 
2.2%
기타 1
 
2.2%

서비스상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
접수중
35 
예약마감
5 
접수종료
4 

Length

Max length4
Median length3
Mean length3.2045455
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 35
79.5%
예약마감 5
 
11.4%
접수종료 4
 
9.1%

Length

2024-05-11T01:50:45.719705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:46.032346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 35
79.5%
예약마감 5
 
11.4%
접수종료 4
 
9.1%

서비스명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T01:50:46.500930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length18.090909
Min length13

Characters and Unicode

Total characters796
Distinct characters113
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row용산도시기억전시관 세미나실 대관(5월)
2nd row(금)용산구청 공유스튜디오 「용씨네 촬영실」(5월)
3rd row서울광역청년센터 화상면접실③
4th row서울광역청년센터 소회의실②
5th row서울광역청년센터 다목적실
ValueCountFrequency (%)
용산구 18
 
12.7%
서울광역청년센터 12
 
8.5%
3층 8
 
5.6%
4층 8
 
5.6%
다목적실 6
 
4.2%
2층 5
 
3.5%
대강당 4
 
2.8%
회의실 4
 
2.8%
서빙고동주민센터 4
 
2.8%
효창동주민센터 3
 
2.1%
Other values (56) 70
49.3%
2024-05-11T01:50:47.520748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
12.4%
터 39
 
4.9%
센 38
 
4.8%
주 26
 
3.3%
동 26
 
3.3%
실 26
 
3.3%
용 25
 
3.1%
층 25
 
3.1%
민 25
 
3.1%
산 22
 
2.8%
Other values (103) 445
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
77.6%
Space Separator 99
 
12.4%
Decimal Number 47
 
5.9%
Open Punctuation 10
 
1.3%
Close Punctuation 10
 
1.3%
Other Number 9
 
1.1%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 39
 
6.3%
센 38
 
6.1%
주 26
 
4.2%
동 26
 
4.2%
실 26
 
4.2%
용 25
 
4.0%
층 25
 
4.0%
민 25
 
4.0%
산 22
 
3.6%
구 19
 
3.1%
Other values (87) 347
56.1%
Decimal Number
ValueCountFrequency (%)
2 18
38.3%
4 11
23.4%
3 8
17.0%
5 4
 
8.5%
0 3
 
6.4%
1 2
 
4.3%
6 1
 
2.1%
Other Number
ValueCountFrequency (%)
① 4
44.4%
② 3
33.3%
③ 2
22.2%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
「 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
」 1
 
10.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
77.6%
Common 178
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 39
 
6.3%
센 38
 
6.1%
주 26
 
4.2%
동 26
 
4.2%
실 26
 
4.2%
용 25
 
4.0%
층 25
 
4.0%
민 25
 
4.0%
산 22
 
3.6%
구 19
 
3.1%
Other values (87) 347
56.1%
Common
ValueCountFrequency (%)
99
55.6%
2 18
 
10.1%
4 11
 
6.2%
( 9
 
5.1%
) 9
 
5.1%
3 8
 
4.5%
① 4
 
2.2%
5 4
 
2.2%
- 3
 
1.7%
0 3
 
1.7%
Other values (6) 10
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
77.6%
ASCII 167
 
21.0%
Enclosed Alphanum 9
 
1.1%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
59.3%
2 18
 
10.8%
4 11
 
6.6%
( 9
 
5.4%
) 9
 
5.4%
3 8
 
4.8%
5 4
 
2.4%
- 3
 
1.8%
0 3
 
1.8%
1 2
 
1.2%
Hangul
ValueCountFrequency (%)
터 39
 
6.3%
센 38
 
6.1%
주 26
 
4.2%
동 26
 
4.2%
실 26
 
4.2%
용 25
 
4.0%
층 25
 
4.0%
민 25
 
4.0%
산 22
 
3.6%
구 19
 
3.1%
Other values (87) 347
56.1%
Enclosed Alphanum
ValueCountFrequency (%)
① 4
44.4%
② 3
33.3%
③ 2
22.2%
None
ValueCountFrequency (%)
「 1
50.0%
」 1
50.0%

결제방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
유료(요금안내문의)
38 
유료
5 
무료
 
1

Length

Max length10
Median length10
Mean length8.9090909
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
유료(요금안내문의) 38
86.4%
유료 5
 
11.4%
무료 1
 
2.3%

Length

2024-05-11T01:50:47.976531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:48.449677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료(요금안내문의 38
86.4%
유료 5
 
11.4%
무료 1
 
2.3%

장소명
Text

Distinct22
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T01:50:48.881796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length19
Mean length10.5
Min length6

Characters and Unicode

Total characters462
Distinct characters92
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

Unique15 ?
Unique (%)34.1%

Sample

1st row용산도시기억전시관
2nd row용산구 인터넷방송국 스튜디오 <용씨네 촬영실>
3rd row서울광역청년센터
4th row서울광역청년센터
5th row서울광역청년센터
ValueCountFrequency (%)
서울광역청년센터 12
 
16.0%
자치회관 8
 
10.7%
서빙고동 4
 
5.3%
효창동주민센터 3
 
4.0%
한강로동주민센터 3
 
4.0%
청파동주민센터 3
 
4.0%
보광동 3
 
4.0%
원효로제2동 2
 
2.7%
주민센터 2
 
2.7%
이촌한강공원 2
 
2.7%
Other values (29) 33
44.0%
2024-05-11T01:50:49.916608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
7.4%
터 33
 
7.1%
센 32
 
6.9%
동 27
 
5.8%
민 19
 
4.1%
주 19
 
4.1%
서 16
 
3.5%
청 16
 
3.5%
광 15
 
3.2%
년 13
 
2.8%
Other values (82) 238
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
86.6%
Space Separator 34
 
7.4%
Decimal Number 14
 
3.0%
Math Symbol 4
 
0.9%
Other Punctuation 4
 
0.9%
Lowercase Letter 4
 
0.9%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 33
 
8.2%
센 32
 
8.0%
동 27
 
6.8%
민 19
 
4.8%
주 19
 
4.8%
서 16
 
4.0%
청 16
 
4.0%
광 15
 
3.8%
년 13
 
3.2%
역 12
 
3.0%
Other values (68) 198
49.5%
Decimal Number
ValueCountFrequency (%)
2 7
50.0%
3 2
 
14.3%
4 2
 
14.3%
1 2
 
14.3%
5 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
g 1
25.0%
l 1
25.0%
Other Punctuation
ValueCountFrequency (%)
; 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Math Symbol
ValueCountFrequency (%)
> 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
86.6%
Common 58
 
12.6%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 33
 
8.2%
센 32
 
8.0%
동 27
 
6.8%
민 19
 
4.8%
주 19
 
4.8%
서 16
 
4.0%
청 16
 
4.0%
광 15
 
3.8%
년 13
 
3.2%
역 12
 
3.0%
Other values (68) 198
49.5%
Common
ValueCountFrequency (%)
34
58.6%
2 7
 
12.1%
> 4
 
6.9%
3 2
 
3.4%
4 2
 
3.4%
; 2
 
3.4%
& 2
 
3.4%
1 2
 
3.4%
5 1
 
1.7%
) 1
 
1.7%
Latin
ValueCountFrequency (%)
t 2
50.0%
g 1
25.0%
l 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
86.6%
ASCII 62
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
54.8%
2 7
 
11.3%
> 4
 
6.5%
3 2
 
3.2%
4 2
 
3.2%
; 2
 
3.2%
& 2
 
3.2%
t 2
 
3.2%
1 2
 
3.2%
5 1
 
1.6%
Other values (4) 4
 
6.5%
Hangul
ValueCountFrequency (%)
터 33
 
8.2%
센 32
 
8.0%
동 27
 
6.8%
민 19
 
4.8%
주 19
 
4.8%
서 16
 
4.0%
청 16
 
4.0%
광 15
 
3.8%
년 13
 
3.2%
역 12
 
3.0%
Other values (68) 198
49.5%

서비스대상
Categorical

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
제한없음
27 
청년
12 
성인, 청년, 청소년
 
1
성인, 청소년
 
1
성인, 제한없음, 청소년
 
1
Other values (2)
 
2

Length

Max length14
Median length5
Mean length4.9772727
Min length3

Unique

Unique5 ?
Unique (%)11.4%

Sample

1st row 제한없음
2nd row 성인, 청년, 청소년
3rd row 청년
4th row 청년
5th row 청년

Common Values

ValueCountFrequency (%)
제한없음 27
61.4%
청년 12
27.3%
성인, 청년, 청소년 1
 
2.3%
성인, 청소년 1
 
2.3%
성인, 제한없음, 청소년 1
 
2.3%
성인 1
 
2.3%
제한없음(용산구민) 1
 
2.3%

Length

2024-05-11T01:50:50.379102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:50.820467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 28
57.1%
청년 13
26.5%
성인 4
 
8.2%
청소년 3
 
6.1%
제한없음(용산구민 1
 
2.0%

바로가기URL
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T01:50:52.066004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters4048
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240417104625379575
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240409162308595665
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240202094902083671
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240201152217571294
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240201153828421138
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240417104625379575 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240409162308595665 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s230111110930783508 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240215140359192237 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240131165044747179 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240130162355001277 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240130163357104438 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240130163820740741 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231228091208598079 1
 
2.3%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s231228091417759543 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T01:50:53.946062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 440
 
10.9%
s 308
 
7.6%
r 220
 
5.4%
/ 220
 
5.4%
. 176
 
4.3%
o 176
 
4.3%
t 176
 
4.3%
v 176
 
4.3%
1 148
 
3.7%
i 132
 
3.3%
Other values (29) 1876
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2508
62.0%
Decimal Number 792
 
19.6%
Other Punctuation 484
 
12.0%
Uppercase Letter 132
 
3.3%
Connector Punctuation 88
 
2.2%
Math Symbol 44
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 440
17.5%
s 308
12.3%
r 220
 
8.8%
o 176
 
7.0%
t 176
 
7.0%
v 176
 
7.0%
i 132
 
5.3%
d 88
 
3.5%
c 88
 
3.5%
w 88
 
3.5%
Other values (10) 616
24.6%
Decimal Number
ValueCountFrequency (%)
1 148
18.7%
2 127
16.0%
0 123
15.5%
3 77
9.7%
4 72
9.1%
5 61
7.7%
7 49
 
6.2%
9 48
 
6.1%
6 47
 
5.9%
8 40
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 220
45.5%
. 176
36.4%
? 44
 
9.1%
: 44
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 44
33.3%
V 44
33.3%
R 44
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 88
100.0%
Math Symbol
ValueCountFrequency (%)
= 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2640
65.2%
Common 1408
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 440
16.7%
s 308
11.7%
r 220
 
8.3%
o 176
 
6.7%
t 176
 
6.7%
v 176
 
6.7%
i 132
 
5.0%
d 88
 
3.3%
c 88
 
3.3%
w 88
 
3.3%
Other values (13) 748
28.3%
Common
ValueCountFrequency (%)
/ 220
15.6%
. 176
12.5%
1 148
10.5%
2 127
9.0%
0 123
8.7%
_ 88
 
6.2%
3 77
 
5.5%
4 72
 
5.1%
5 61
 
4.3%
7 49
 
3.5%
Other values (6) 267
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 440
 
10.9%
s 308
 
7.6%
r 220
 
5.4%
/ 220
 
5.4%
. 176
 
4.3%
o 176
 
4.3%
t 176
 
4.3%
v 176
 
4.3%
1 148
 
3.7%
i 132
 
3.3%
Other values (29) 1876
46.3%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97462
Minimum126.95153
Maximum127.00049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T01:50:54.336097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.95153
5-th percentile126.95758
Q1126.96923
median126.96935
Q3126.98813
95-th percentile127.00018
Maximum127.00049
Range0.048963298
Interquartile range (IQR)0.018906929

Descriptive statistics

Standard deviation0.013535807
Coefficient of variation (CV)0.00010660246
Kurtosis-0.51333708
Mean126.97462
Median Absolute Deviation (MAD)0.0022788651
Skewness0.66777388
Sum5586.8831
Variance0.00018321807
MonotonicityNot monotonic
2024-05-11T01:50:54.704450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
126.96935 12
27.3%
126.99465166186368 4
 
9.1%
126.96184001356023 3
 
6.8%
126.96922807094676 3
 
6.8%
127.00018100690068 3
 
6.8%
126.96987273841312 3
 
6.8%
126.9732987193275 2
 
4.5%
126.97085 2
 
4.5%
126.95153 2
 
4.5%
126.9575829188004 2
 
4.5%
Other values (8) 8
18.2%
ValueCountFrequency (%)
126.95153 2
 
4.5%
126.9575829188004 2
 
4.5%
126.96184001356023 3
 
6.8%
126.96651555680675 1
 
2.3%
126.9676267129 1
 
2.3%
126.96922807094676 3
 
6.8%
126.96935 12
27.3%
126.96987273841312 3
 
6.8%
126.97085 2
 
4.5%
126.97085213815332 1
 
2.3%
ValueCountFrequency (%)
127.00049329822622 1
 
2.3%
127.00018100690068 3
6.8%
126.99465166186368 4
9.1%
126.99036 1
 
2.3%
126.99018 1
 
2.3%
126.9883 1
 
2.3%
126.98808 1
 
2.3%
126.9732987193275 2
4.5%
126.97085213815332 1
 
2.3%
126.97085 2
4.5%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.534151
Minimum37.517821
Maximum37.545478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T01:50:55.152820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.517821
5-th percentile37.518227
Q137.526301
median37.538954
Q337.54134
95-th percentile37.545103
Maximum37.545478
Range0.027656889
Interquartile range (IQR)0.015039001

Descriptive statistics

Standard deviation0.0092302608
Coefficient of variation (CV)0.00024591633
Kurtosis-1.2580308
Mean37.534151
Median Absolute Deviation (MAD)0.0045017576
Skewness-0.55613892
Sum1651.5026
Variance8.5197714 × 10-5
MonotonicityNot monotonic
2024-05-11T01:50:55.686448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
37.54134 12
27.3%
37.520476797947815 4
 
9.1%
37.54250924530994 3
 
6.8%
37.528142242670505 3
 
6.8%
37.5263009993796 3
 
6.8%
37.545477657807176 3
 
6.8%
37.52135688370054 2
 
4.5%
37.51783 2
 
4.5%
37.53434 2
 
4.5%
37.538954249543785 2
 
4.5%
Other values (8) 8
18.2%
ValueCountFrequency (%)
37.51782076909255 1
 
2.3%
37.51783 2
4.5%
37.520476797947815 4
9.1%
37.52135688370054 2
4.5%
37.5263009993796 3
6.8%
37.52638062679508 1
 
2.3%
37.528142242670505 3
6.8%
37.53249 1
 
2.3%
37.53434 2
4.5%
37.5345649839869 1
 
2.3%
ValueCountFrequency (%)
37.545477657807176 3
 
6.8%
37.54298 1
 
2.3%
37.54250924530994 3
 
6.8%
37.54191 1
 
2.3%
37.54134 12
27.3%
37.53902 1
 
2.3%
37.538954249543785 2
 
4.5%
37.5372419256 1
 
2.3%
37.5345649839869 1
 
2.3%
37.53434 2
 
4.5%

서비스개시시작일시
Date

Distinct13
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-01-01 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T01:50:56.180168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:56.657783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

서비스개시종료일시
Date

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-05-31 00:00:00
Maximum2025-12-31 00:00:00
2024-05-11T01:50:57.161650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:57.571420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

접수시작일시
Date

Distinct16
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-01-01 09:00:00
Maximum2024-04-17 14:00:00
2024-05-11T01:50:58.056303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:58.780800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

접수종료일시
Date

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-05-28 00:00:00
Maximum2025-12-31 00:00:00
2024-05-11T01:50:59.431461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:00.174586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
용산구
44 

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 44
100.0%

Length

2024-05-11T01:51:00.791176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:51:01.244335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 44
100.0%

Interactions

2024-05-11T01:50:40.799849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:40.313226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:41.064070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:40.563631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T01:51:01.573835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.5801.0000.5310.8290.8391.0000.3480.5920.7720.6960.7910.887
서비스상태1.0000.5801.0001.0000.3280.9710.2031.0000.8740.6990.8240.0800.8390.530
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.5310.3281.0001.0001.0000.0001.0000.0000.5150.9700.4780.9750.959
장소명1.0000.8290.9711.0001.0001.0000.8661.0001.0001.0000.9690.9650.9680.986
서비스대상1.0000.8390.2031.0000.0000.8661.0001.0000.6300.5160.7540.7640.9060.994
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.3480.8741.0000.0001.0000.6301.0001.0000.9410.8860.3460.9900.875
장소Y좌표1.0000.5920.6991.0000.5151.0000.5161.0000.9411.0000.8980.8800.9830.914
서비스개시시작일시1.0000.7720.8241.0000.9700.9690.7541.0000.8860.8981.0000.9040.9920.942
서비스개시종료일시1.0000.6960.0801.0000.4780.9650.7641.0000.3460.8800.9041.0000.9651.000
접수시작일시1.0000.7910.8391.0000.9750.9680.9061.0000.9900.9830.9920.9651.0000.955
접수종료일시1.0000.8870.5301.0000.9590.9860.9941.0000.8750.9140.9421.0000.9551.000
2024-05-11T01:51:02.201753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결제방법서비스대상소분류명서비스상태
결제방법1.0000.0000.3940.108
서비스대상0.0001.0000.4400.118
소분류명0.3940.4401.0000.445
서비스상태0.1080.1180.4451.000
2024-05-11T01:51:02.847214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법서비스대상
장소X좌표1.000-0.3680.1810.7860.0000.393
장소Y좌표-0.3681.0000.3580.5460.3530.297
소분류명0.1810.3581.0000.4450.3940.440
서비스상태0.7860.5460.4451.0000.1080.118
결제방법0.0000.3530.3940.1081.0000.000
서비스대상0.3930.2970.4400.1180.0001.000

Missing values

2024-05-11T01:50:41.448870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T01:50:42.145850image/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
0자체S240417104625379575공간시설회의실접수중용산도시기억전시관 세미나실 대관(5월)무료용산도시기억전시관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240417104625379575126.96651637.5263812024-04-17 00:00:00.02024-05-31 00:00:00.02024-04-17 14:00:00.02024-05-28 00:00:00.0용산구
1자체S240409162308595665공간시설녹화장소접수중(금)용산구청 공유스튜디오 「용씨네 촬영실」(5월)유료(요금안내문의)용산구 인터넷방송국 스튜디오 <용씨네 촬영실>성인, 청년, 청소년https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240409162308595665126.9903637.532492024-04-15 00:00:00.02024-05-31 00:00:00.02024-04-15 00:01:00.02024-05-31 00:02:00.0용산구
2자체S240202094902083671공간시설청년공간접수중서울광역청년센터 화상면접실③유료(요금안내문의)서울광역청년센터청년https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240202094902083671126.9693537.541342024-02-02 00:00:00.02024-07-31 00:00:00.02024-02-02 00:00:00.02024-07-31 00:00:00.0용산구
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4자체S240201153828421138공간시설청년공간접수중서울광역청년센터 다목적실유료(요금안내문의)서울광역청년센터청년https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240201153828421138126.9693537.541342024-02-01 00:00:00.02024-07-31 00:00:00.02024-02-01 00:00:00.02024-07-31 00:00:00.0용산구
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6자체S240202092729324474공간시설청년공간접수중서울광역청년센터 화상면접실①유료(요금안내문의)서울광역청년센터청년https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240202092729324474126.9693537.541342024-02-01 00:00:00.02024-07-31 00:00:00.02024-02-02 00:00:00.02024-07-31 00:00:00.0용산구
7자체S240202094231456682공간시설청년공간접수중서울광역청년센터 화상면접실②유료(요금안내문의)서울광역청년센터청년https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240202094231456682126.9693537.541342024-02-01 00:00:00.02024-07-31 00:00:00.02024-02-02 00:00:00.02024-07-31 00:00:00.0용산구
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서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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40자체S230116175126600621공간시설민원 등 기타접수종료서빙고동주민센터 3층 빙고교실유료(요금안내문의)서빙고동 자치회관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S230116175126600621126.99465237.5204772023-01-01 00:00:00.02024-12-31 00:00:00.02023-01-01 09:00:00.02024-12-31 18:00:00.0용산구
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42자체S230119203525604726공간시설다목적실접수중용산구 한강로동주민센터 지하2층 다목적실유료(요금안내문의)한강로동주민센터제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S230119203525604726126.96922837.5281422023-01-01 00:00:00.02024-12-31 00:00:00.02023-01-01 09:00:00.02024-12-31 18:00:00.0용산구
43자체S230130151715251911공간시설다목적실접수종료용산구 서빙고동주민센터 6층 빙고마루유료(요금안내문의)서빙고동 자치회관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S230130151715251911126.99465237.5204772023-01-01 00:00:00.02024-12-31 00:00:00.02023-01-01 09:00:00.02024-12-31 18:00:00.0용산구