Overview

Dataset statistics

Number of variables17
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory142.3 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-12228/S/1/datasetView.do

Alerts

서비스구분 has constant value ""Constant
대분류명 has constant value ""Constant
서비스대상 has constant value ""Constant
지역명 has constant value ""Constant
소분류명 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
결제방법 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
서비스상태 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
장소X좌표 is highly overall correlated with 소분류명 and 2 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 소분류명High correlation
결제방법 is highly imbalanced (79.4%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:25:26.698772
Analysis finished2024-05-11 05:25:28.621683
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
자체
31 

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 31
100.0%

Length

2024-05-11T14:25:28.719759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:28.850292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 31
100.0%

서비스ID
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:25:29.371360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters589
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowS240206105725944345
2nd rowS231101165220532897
3rd rowS231101165702695865
4th rowS231106162818596560
5th rowS231106163003281702
ValueCountFrequency (%)
s240206105725944345 1
 
3.2%
s240419102824312022 1
 
3.2%
s240427081203151717 1
 
3.2%
s240427080756184833 1
 
3.2%
s240427080413527685 1
 
3.2%
s240427075724898239 1
 
3.2%
s240427075159701416 1
 
3.2%
s240427074908864613 1
 
3.2%
s240427074357841488 1
 
3.2%
s240427072739699127 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:25:30.026090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 91
15.4%
1 91
15.4%
0 76
12.9%
4 72
12.2%
3 52
8.8%
5 39
6.6%
7 38
6.5%
8 38
6.5%
S 31
 
5.3%
6 31
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 558
94.7%
Uppercase Letter 31
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
16.3%
1 91
16.3%
0 76
13.6%
4 72
12.9%
3 52
9.3%
5 39
7.0%
7 38
6.8%
8 38
6.8%
6 31
 
5.6%
9 30
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
S 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 558
94.7%
Latin 31
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 91
16.3%
1 91
16.3%
0 76
13.6%
4 72
12.9%
3 52
9.3%
5 39
7.0%
7 38
6.8%
8 38
6.8%
6 31
 
5.6%
9 30
 
5.4%
Latin
ValueCountFrequency (%)
S 31
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 589
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 91
15.4%
1 91
15.4%
0 76
12.9%
4 72
12.2%
3 52
8.8%
5 39
6.6%
7 38
6.5%
8 38
6.5%
S 31
 
5.3%
6 31
 
5.3%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
체육시설
31 

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 31
100.0%

Length

2024-05-11T14:25:30.282073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:30.444576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 31
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
테니스장
11 
축구장
8 
농구장
4 
배드민턴장
3 
족구장
2 
Other values (2)
3 

Length

Max length5
Median length3
Mean length3.5483871
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row야구장
2nd row농구장
3rd row농구장
4th row배드민턴장
5th row배드민턴장

Common Values

ValueCountFrequency (%)
테니스장 11
35.5%
축구장 8
25.8%
농구장 4
 
12.9%
배드민턴장 3
 
9.7%
족구장 2
 
6.5%
풋살장 2
 
6.5%
야구장 1
 
3.2%

Length

2024-05-11T14:25:30.649527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:30.879637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테니스장 11
35.5%
축구장 8
25.8%
농구장 4
 
12.9%
배드민턴장 3
 
9.7%
족구장 2
 
6.5%
풋살장 2
 
6.5%
야구장 1
 
3.2%

서비스상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
접수중
16 
예약마감
14 
접수종료
 
1

Length

Max length4
Median length3
Mean length3.483871
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 16
51.6%
예약마감 14
45.2%
접수종료 1
 
3.2%

Length

2024-05-11T14:25:31.110102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:31.298096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 16
51.6%
예약마감 14
45.2%
접수종료 1
 
3.2%

서비스명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:25:31.665060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length28
Mean length25.451613
Min length14

Characters and Unicode

Total characters789
Distinct characters86
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row구의야구장 2024.03월 대관접수 및 추첨
2nd row2024년 농구장2-(강변 방향) 뚝섬한강공원
3rd row2024년 농구장3(장애인농구장, 잠실대교 방향)-뚝섬한강공원
4th row2024년 배드민턴장2-뚝섬한강공원(실외)
5th row2024년 배드민턴장3-뚝섬한강공원(실외)
ValueCountFrequency (%)
테니스장 11
 
7.9%
2024년 11
 
7.9%
9
 
6.5%
뚝섬 9
 
6.5%
한강공원 9
 
6.5%
코트 9
 
6.5%
방향)-뚝섬한강공원 6
 
4.3%
어린이대공원 4
 
2.9%
인조잔디축구장 4
 
2.9%
서울어린이대공원 4
 
2.9%
Other values (39) 63
45.3%
2024-05-11T14:25:32.370333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
13.7%
2 36
 
4.6%
장 35
 
4.4%
공 35
 
4.4%
원 30
 
3.8%
강 24
 
3.0%
한 22
 
2.8%
- 22
 
2.8%
섬 22
 
2.8%
뚝 22
 
2.8%
Other values (76) 433
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
62.7%
Space Separator 108
 
13.7%
Decimal Number 88
 
11.2%
Lowercase Letter 24
 
3.0%
Dash Punctuation 22
 
2.8%
Close Punctuation 17
 
2.2%
Open Punctuation 17
 
2.2%
Other Punctuation 16
 
2.0%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 35
 
7.1%
공 35
 
7.1%
원 30
 
6.1%
강 24
 
4.8%
한 22
 
4.4%
섬 22
 
4.4%
뚝 22
 
4.4%
구 18
 
3.6%
대 15
 
3.0%
년 13
 
2.6%
Other values (54) 259
52.3%
Decimal Number
ValueCountFrequency (%)
2 36
40.9%
4 18
20.5%
0 15
17.0%
3 8
 
9.1%
5 6
 
6.8%
1 5
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
d 8
33.3%
m 4
16.7%
i 4
16.7%
o 4
16.7%
t 4
16.7%
Other Punctuation
ValueCountFrequency (%)
, 5
31.2%
& 4
25.0%
; 4
25.0%
: 2
 
12.5%
. 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
62.7%
Common 268
34.0%
Latin 26
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 35
 
7.1%
공 35
 
7.1%
원 30
 
6.1%
강 24
 
4.8%
한 22
 
4.4%
섬 22
 
4.4%
뚝 22
 
4.4%
구 18
 
3.6%
대 15
 
3.0%
년 13
 
2.6%
Other values (54) 259
52.3%
Common
ValueCountFrequency (%)
108
40.3%
2 36
 
13.4%
- 22
 
8.2%
4 18
 
6.7%
) 17
 
6.3%
( 17
 
6.3%
0 15
 
5.6%
3 8
 
3.0%
5 6
 
2.2%
1 5
 
1.9%
Other values (5) 16
 
6.0%
Latin
ValueCountFrequency (%)
d 8
30.8%
m 4
15.4%
i 4
15.4%
o 4
15.4%
t 4
15.4%
B 1
 
3.8%
A 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
62.7%
ASCII 294
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
36.7%
2 36
 
12.2%
- 22
 
7.5%
4 18
 
6.1%
) 17
 
5.8%
( 17
 
5.8%
0 15
 
5.1%
3 8
 
2.7%
d 8
 
2.7%
5 6
 
2.0%
Other values (12) 39
 
13.3%
Hangul
ValueCountFrequency (%)
장 35
 
7.1%
공 35
 
7.1%
원 30
 
6.1%
강 24
 
4.8%
한 22
 
4.4%
섬 22
 
4.4%
뚝 22
 
4.4%
구 18
 
3.6%
대 15
 
3.0%
년 13
 
2.6%
Other values (54) 259
52.3%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
유료
30 
유료(요금안내문의)
 
1

Length

Max length10
Median length2
Mean length2.2580645
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
유료 30
96.8%
유료(요금안내문의) 1
 
3.2%

Length

2024-05-11T14:25:32.674360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:32.871344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 30
96.8%
유료(요금안내문의 1
 
3.2%

장소명
Text

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:25:33.139537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.870968
Min length6

Characters and Unicode

Total characters368
Distinct characters45
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

Unique14 ?
Unique (%)45.2%

Sample

1st row구의야구공원
2nd row뚝섬한강공원>농구장 2
3rd row뚝섬한강공원>농구장 3(장애인농구장)
4th row뚝섬한강공원>배드민턴장 2
5th row뚝섬한강공원>배드민턴장 3
ValueCountFrequency (%)
테니스장 11
15.9%
뚝섬 9
13.0%
한강공원 9
13.0%
1 5
7.2%
2 5
7.2%
서울어린이대공원 4
 
5.8%
잔디축구장 4
 
5.8%
뚝섬한강공원>축구장 4
 
5.8%
뚝섬한강공원>배드민턴장 3
 
4.3%
뚝섬한강공원>농구장 3
 
4.3%
Other values (10) 12
17.4%
2024-05-11T14:25:33.792295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
10.3%
장 33
 
9.0%
공 26
 
7.1%
원 26
 
7.1%
뚝 22
 
6.0%
섬 22
 
6.0%
한 21
 
5.7%
강 21
 
5.7%
구 17
 
4.6%
> 12
 
3.3%
Other values (35) 130
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
79.9%
Space Separator 38
 
10.3%
Decimal Number 16
 
4.3%
Math Symbol 12
 
3.3%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 33
 
11.2%
공 26
 
8.8%
원 26
 
8.8%
뚝 22
 
7.5%
섬 22
 
7.5%
한 21
 
7.1%
강 21
 
7.1%
구 17
 
5.8%
테 11
 
3.7%
니 11
 
3.7%
Other values (24) 84
28.6%
Decimal Number
ValueCountFrequency (%)
2 5
31.2%
1 5
31.2%
3 4
25.0%
5 2
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
> 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
79.9%
Common 72
 
19.6%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 33
 
11.2%
공 26
 
8.8%
원 26
 
8.8%
뚝 22
 
7.5%
섬 22
 
7.5%
한 21
 
7.1%
강 21
 
7.1%
구 17
 
5.8%
테 11
 
3.7%
니 11
 
3.7%
Other values (24) 84
28.6%
Common
ValueCountFrequency (%)
38
52.8%
> 12
 
16.7%
2 5
 
6.9%
1 5
 
6.9%
3 4
 
5.6%
) 2
 
2.8%
( 2
 
2.8%
: 2
 
2.8%
5 2
 
2.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
79.9%
ASCII 74
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
51.4%
> 12
 
16.2%
2 5
 
6.8%
1 5
 
6.8%
3 4
 
5.4%
) 2
 
2.7%
( 2
 
2.7%
: 2
 
2.7%
5 2
 
2.7%
B 1
 
1.4%
Hangul
ValueCountFrequency (%)
장 33
 
11.2%
공 26
 
8.8%
원 26
 
8.8%
뚝 22
 
7.5%
섬 22
 
7.5%
한 21
 
7.1%
강 21
 
7.1%
구 17
 
5.8%
테 11
 
3.7%
니 11
 
3.7%
Other values (24) 84
28.6%

서비스대상
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
제한없음
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 31
100.0%

Length

2024-05-11T14:25:34.107078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:34.359246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 31
100.0%

바로가기URL
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:25:34.847703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters2852
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240206105725944345
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101165220532897
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101165702695865
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231106162818596560
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231106163003281702
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240206105725944345 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240419102824312022 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427081203151717 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427080756184833 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427080413527685 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427075724898239 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427075159701416 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427074908864613 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427074357841488 1
 
3.2%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427072739699127 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:25:35.534500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 310
 
10.9%
s 217
 
7.6%
r 155
 
5.4%
/ 155
 
5.4%
t 124
 
4.3%
v 124
 
4.3%
. 124
 
4.3%
o 124
 
4.3%
i 93
 
3.3%
2 91
 
3.2%
Other values (29) 1335
46.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1767
62.0%
Decimal Number 558
 
19.6%
Other Punctuation 341
 
12.0%
Uppercase Letter 93
 
3.3%
Connector Punctuation 62
 
2.2%
Math Symbol 31
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 310
17.5%
s 217
12.3%
r 155
 
8.8%
t 124
 
7.0%
v 124
 
7.0%
o 124
 
7.0%
i 93
 
5.3%
c 62
 
3.5%
w 62
 
3.5%
l 62
 
3.5%
Other values (10) 434
24.6%
Decimal Number
ValueCountFrequency (%)
2 91
16.3%
1 91
16.3%
0 76
13.6%
4 72
12.9%
3 52
9.3%
5 39
7.0%
7 38
6.8%
8 38
6.8%
6 31
 
5.6%
9 30
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 155
45.5%
. 124
36.4%
? 31
 
9.1%
: 31
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
V 31
33.3%
S 31
33.3%
R 31
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 62
100.0%
Math Symbol
ValueCountFrequency (%)
= 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1860
65.2%
Common 992
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 310
16.7%
s 217
11.7%
r 155
 
8.3%
t 124
 
6.7%
v 124
 
6.7%
o 124
 
6.7%
i 93
 
5.0%
c 62
 
3.3%
w 62
 
3.3%
l 62
 
3.3%
Other values (13) 527
28.3%
Common
ValueCountFrequency (%)
/ 155
15.6%
. 124
12.5%
2 91
9.2%
1 91
9.2%
0 76
 
7.7%
4 72
 
7.3%
_ 62
 
6.2%
3 52
 
5.2%
5 39
 
3.9%
7 38
 
3.8%
Other values (6) 192
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 310
 
10.9%
s 217
 
7.6%
r 155
 
5.4%
/ 155
 
5.4%
t 124
 
4.3%
v 124
 
4.3%
. 124
 
4.3%
o 124
 
4.3%
i 93
 
3.3%
2 91
 
3.2%
Other values (29) 1335
46.8%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.07932
Minimum127.07273
Maximum127.09682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:25:35.757336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07273
5-th percentile127.07409
Q1127.07724
median127.07806
Q3127.08001
95-th percentile127.08574
Maximum127.09682
Range0.0240848
Interquartile range (IQR)0.0027734785

Descriptive statistics

Standard deviation0.0047193422
Coefficient of variation (CV)3.7136981 × 10-5
Kurtosis5.2357614
Mean127.07932
Median Absolute Deviation (MAD)0.0010914858
Skewness1.8974992
Sum3939.4588
Variance2.2272191 × 10-5
MonotonicityNot monotonic
2024-05-11T14:25:35.970838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
127.078061581285 9
29.0%
127.08438479753576 4
12.9%
127.0764002514537 2
 
6.5%
127.07545026347928 2
 
6.5%
127.09681593299123 1
 
3.2%
127.0727311334152 1
 
3.2%
127.07997862263883 1
 
3.2%
127.08576073560094 1
 
3.2%
127.0800436553119 1
 
3.2%
127.08571177723894 1
 
3.2%
Other values (8) 8
25.8%
ValueCountFrequency (%)
127.0727311334152 1
3.2%
127.07273535443076 1
3.2%
127.07545026347928 2
6.5%
127.0764002514537 2
6.5%
127.0769700954793 1
3.2%
127.0771340310736 1
3.2%
127.077341289825 1
3.2%
127.07740464667796 1
3.2%
127.07745293350186 1
3.2%
127.07747699113824 1
3.2%
ValueCountFrequency (%)
127.09681593299123 1
 
3.2%
127.08576073560094 1
 
3.2%
127.08571177723894 1
 
3.2%
127.08438479753576 4
12.9%
127.0800436553119 1
 
3.2%
127.07997862263883 1
 
3.2%
127.078061581285 9
29.0%
127.07748577997528 1
 
3.2%
127.07747699113824 1
 
3.2%
127.07745293350186 1
 
3.2%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.533855
Minimum37.527209
Maximum37.551922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:25:36.159502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.527209
5-th percentile37.527209
Q137.527209
median37.527827
Q337.54753
95-th percentile37.550565
Maximum37.551922
Range0.024712736
Interquartile range (IQR)0.020320353

Descriptive statistics

Standard deviation0.0098888608
Coefficient of variation (CV)0.0002634651
Kurtosis-1.0140288
Mean37.533855
Median Absolute Deviation (MAD)0.00061782231
Skewness0.99719286
Sum1163.5495
Variance9.7789567 × 10-5
MonotonicityNot monotonic
2024-05-11T14:25:36.393225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
37.52720933697021 9
29.0%
37.54784800614607 4
12.9%
37.52803684578285 2
 
6.5%
37.528354608910725 2
 
6.5%
37.54721137307244 1
 
3.2%
37.52861769499568 1
 
3.2%
37.55191057468852 1
 
3.2%
37.54920733875649 1
 
3.2%
37.55192207294898 1
 
3.2%
37.54921933524233 1
 
3.2%
Other values (8) 8
25.8%
ValueCountFrequency (%)
37.52720933697021 9
29.0%
37.527479341054566 1
 
3.2%
37.52751626049641 1
 
3.2%
37.527602986968816 1
 
3.2%
37.52770490714091 1
 
3.2%
37.5277694477905 1
 
3.2%
37.52782449782219 1
 
3.2%
37.527827159278665 1
 
3.2%
37.52803684578285 2
 
6.5%
37.528354608910725 2
 
6.5%
ValueCountFrequency (%)
37.55192207294898 1
 
3.2%
37.55191057468852 1
 
3.2%
37.54921933524233 1
 
3.2%
37.54920733875649 1
 
3.2%
37.54784800614607 4
12.9%
37.54721137307244 1
 
3.2%
37.52863021684605 1
 
3.2%
37.52861769499568 1
 
3.2%
37.528354608910725 2
6.5%
37.52803684578285 2
6.5%

서비스개시시작일시
Date

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2021-12-28 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T14:25:36.613716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:36.827859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

서비스개시종료일시
Date

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2024-05-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T14:25:37.031059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:37.451957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

접수시작일시
Date

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2022-02-27 06:00:00
Maximum2024-05-01 00:00:00
2024-05-11T14:25:37.780310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:38.189716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

접수종료일시
Date

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2024-02-16 06:02:00
Maximum2024-12-31 02:12:00
2024-05-11T14:25:38.420830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:38.651221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
광진구
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 31
100.0%

Length

2024-05-11T14:25:38.905249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:39.087357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 31
100.0%

Interactions

2024-05-11T14:25:27.847022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:27.583006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:27.980693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:27.724745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:25:39.264025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.9111.0001.0001.0001.0000.9690.8050.8450.7590.8450.925
서비스상태1.0000.9111.0001.0001.0000.9981.0000.9460.6100.9980.5450.9980.921
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0001.0001.0001.0001.0001.0001.0001.0000.1401.0000.0001.0001.000
장소명1.0001.0000.9981.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.9690.9461.0001.0001.0001.0001.0001.0000.9551.0000.9551.000
장소Y좌표1.0000.8050.6101.0000.1401.0001.0001.0001.0000.9880.2290.9880.865
서비스개시시작일시1.0000.8450.9981.0001.0001.0001.0000.9550.9881.0001.0001.0000.952
서비스개시종료일시1.0000.7590.5451.0000.0001.0001.0001.0000.2291.0001.0001.0001.000
접수시작일시1.0000.8450.9981.0001.0001.0001.0000.9550.9881.0001.0001.0000.952
접수종료일시1.0000.9250.9211.0001.0001.0001.0001.0000.8650.9521.0000.9521.000
2024-05-11T14:25:39.566908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류명결제방법서비스상태
소분류명1.0000.9100.850
결제방법0.9101.0000.983
서비스상태0.8500.9831.000
2024-05-11T14:25:39.729478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법
장소X좌표1.0000.2910.7260.8960.910
장소Y좌표0.2911.0000.7000.2750.222
소분류명0.7260.7001.0000.8500.910
서비스상태0.8960.2750.8501.0000.983
결제방법0.9100.2220.9100.9831.000

Missing values

2024-05-11T14:25:28.167254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:25:28.510562image/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
0자체S240206105725944345체육시설야구장접수종료구의야구장 2024.03월 대관접수 및 추첨유료(요금안내문의)구의야구공원제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240206105725944345127.09681637.5472112024-01-01 00:00:00.02024-12-31 00:00:00.02024-02-13 10:00:00.02024-02-16 06:02:00.0광진구
1자체S231101165220532897체육시설농구장접수중2024년 농구장2-(강변 방향) 뚝섬한강공원유료뚝섬한강공원>농구장 2제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101165220532897127.07713437.5276032023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0광진구
2자체S231101165702695865체육시설농구장접수중2024년 농구장3(장애인농구장, 잠실대교 방향)-뚝섬한강공원유료뚝섬한강공원>농구장 3(장애인농구장)제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231101165702695865127.07273537.528632023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0광진구
3자체S231106162818596560체육시설배드민턴장접수중2024년 배드민턴장2-뚝섬한강공원(실외)유료뚝섬한강공원>배드민턴장 2제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231106162818596560127.07740537.5278272023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0광진구
4자체S231106163003281702체육시설배드민턴장접수중2024년 배드민턴장3-뚝섬한강공원(실외)유료뚝섬한강공원>배드민턴장 3제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S231106163003281702127.07747737.5277692023-12-01 00:00:00.02024-12-31 00:00:00.02023-12-01 14:00:00.02024-12-31 02:12:00.0광진구
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서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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