Overview

Dataset statistics

Number of variables17
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory141.3 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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-12206/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 장소Y좌표 and 2 other fieldsHigh correlation
장소Y좌표 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
소분류명 is highly overall correlated with 장소X좌표 and 2 other fieldsHigh correlation
결제방법 is highly overall correlated with 장소명High correlation
장소명 is highly overall correlated with 장소X좌표 and 3 other fieldsHigh correlation
결제방법 is highly imbalanced (61.6%)Imbalance
서비스ID has unique valuesUnique
서비스명 has unique valuesUnique
바로가기URL has unique valuesUnique

Reproduction

Analysis started2024-05-10 23:33:54.770623
Analysis finished2024-05-10 23:33:59.479188
Duration4.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
자체
40 

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 40
100.0%

Length

2024-05-10T23:33:59.771797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:00.413092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 40
100.0%

서비스ID
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-10T23:34:01.163099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters760
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowS240422105221572099
2nd rowS240424132457195989
3rd rowS240424145151409585
4th rowS240424152215246790
5th rowS240423160825904803
ValueCountFrequency (%)
s240422105221572099 1
 
2.5%
s240424132457195989 1
 
2.5%
s240424163003121734 1
 
2.5%
s240427115701164694 1
 
2.5%
s240418182420204364 1
 
2.5%
s240411012840867023 1
 
2.5%
s240415102705730791 1
 
2.5%
s240423181241084691 1
 
2.5%
s240507145240583243 1
 
2.5%
s240424162134208415 1
 
2.5%
Other values (30) 30
75.0%
2024-05-10T23:34:02.343395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 128
16.8%
2 125
16.4%
0 104
13.7%
1 89
11.7%
5 57
7.5%
8 48
 
6.3%
3 44
 
5.8%
6 44
 
5.8%
9 43
 
5.7%
S 40
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
94.7%
Uppercase Letter 40
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 128
17.8%
2 125
17.4%
0 104
14.4%
1 89
12.4%
5 57
7.9%
8 48
 
6.7%
3 44
 
6.1%
6 44
 
6.1%
9 43
 
6.0%
7 38
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
94.7%
Latin 40
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 128
17.8%
2 125
17.4%
0 104
14.4%
1 89
12.4%
5 57
7.9%
8 48
 
6.7%
3 44
 
6.1%
6 44
 
6.1%
9 43
 
6.0%
7 38
 
5.3%
Latin
ValueCountFrequency (%)
S 40
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 128
16.8%
2 125
16.4%
0 104
13.7%
1 89
11.7%
5 57
7.5%
8 48
 
6.3%
3 44
 
5.8%
6 44
 
5.8%
9 43
 
5.7%
S 40
 
5.3%

대분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
교육강좌
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육강좌 40
100.0%

Length

2024-05-10T23:34:02.892619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:03.192621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육강좌 40
100.0%

소분류명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
자연/과학
25 
청년정보
스포츠
공예/취미
정보통신
 
1

Length

Max length5
Median length5
Mean length4.575
Min length3

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row자연/과학
2nd row자연/과학
3rd row자연/과학
4th row자연/과학
5th row스포츠

Common Values

ValueCountFrequency (%)
자연/과학 25
62.5%
청년정보 6
 
15.0%
스포츠 5
 
12.5%
공예/취미 3
 
7.5%
정보통신 1
 
2.5%

Length

2024-05-10T23:34:03.766472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:04.128976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자연/과학 25
62.5%
청년정보 6
 
15.0%
스포츠 5
 
12.5%
공예/취미 3
 
7.5%
정보통신 1
 
2.5%

서비스상태
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
접수중
19 
예약마감
12 
접수종료

Length

Max length4
Median length4
Mean length3.525
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수중 19
47.5%
예약마감 12
30.0%
접수종료 9
22.5%

Length

2024-05-10T23:34:04.485271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:04.832868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수중 19
47.5%
예약마감 12
30.0%
접수종료 9
22.5%

서비스명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-10T23:34:05.401648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length29.5
Mean length25.475
Min length7

Characters and Unicode

Total characters1019
Distinct characters233
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row[월드컵공원] 꽁지 불빛 반딧불이 해설(5월)
2nd row[월드컵공원] 노을별누리 어린이별학교(5월)
3rd row[월드컵공원] 노을별누리 가족별여행(5월, 주말 가족)
4th row[월드컵공원] 노.을.특.별.(노을별누리 특별관측-5월 17일, 성식현상 관측)
5th row[월드컵공원] 난지비치모래길 맨발걷기(5월)
ValueCountFrequency (%)
월드컵공원 9
 
6.2%
한강야생탐사센터 6
 
4.1%
서울청년센터 6
 
4.1%
마포 5
 
3.4%
모집 4
 
2.8%
참여자 4
 
2.8%
클라스 2
 
1.4%
생물다양성특별프로그램]개골챙이 2
 
1.4%
가족 2
 
1.4%
노을별누리 2
 
1.4%
Other values (98) 103
71.0%
2024-05-10T23:34:06.478545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
11.0%
; 26
 
2.6%
& 26
 
2.6%
[ 25
 
2.5%
] 25
 
2.5%
22
 
2.2%
) 21
 
2.1%
( 21
 
2.1%
t 19
 
1.9%
18
 
1.8%
Other values (223) 704
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
64.2%
Space Separator 112
 
11.0%
Other Punctuation 71
 
7.0%
Open Punctuation 46
 
4.5%
Close Punctuation 46
 
4.5%
Lowercase Letter 40
 
3.9%
Decimal Number 39
 
3.8%
Dash Punctuation 6
 
0.6%
Uppercase Letter 4
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
3.4%
18
 
2.8%
16
 
2.4%
16
 
2.4%
16
 
2.4%
15
 
2.3%
14
 
2.1%
14
 
2.1%
14
 
2.1%
13
 
2.0%
Other values (193) 496
75.8%
Decimal Number
ValueCountFrequency (%)
5 11
28.2%
3 8
20.5%
9 8
20.5%
2 5
12.8%
1 4
 
10.3%
4 1
 
2.6%
7 1
 
2.6%
0 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
; 26
36.6%
& 26
36.6%
# 8
 
11.3%
. 5
 
7.0%
, 4
 
5.6%
! 1
 
1.4%
? 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
t 19
47.5%
l 9
22.5%
g 9
22.5%
e 1
 
2.5%
a 1
 
2.5%
f 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
[ 25
54.3%
( 21
45.7%
Close Punctuation
ValueCountFrequency (%)
] 25
54.3%
) 21
45.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
64.2%
Common 321
31.5%
Latin 44
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
3.4%
18
 
2.8%
16
 
2.4%
16
 
2.4%
16
 
2.4%
15
 
2.3%
14
 
2.1%
14
 
2.1%
14
 
2.1%
13
 
2.0%
Other values (193) 496
75.8%
Common
ValueCountFrequency (%)
112
34.9%
; 26
 
8.1%
& 26
 
8.1%
[ 25
 
7.8%
] 25
 
7.8%
) 21
 
6.5%
( 21
 
6.5%
5 11
 
3.4%
# 8
 
2.5%
3 8
 
2.5%
Other values (12) 38
 
11.8%
Latin
ValueCountFrequency (%)
t 19
43.2%
l 9
20.5%
g 9
20.5%
I 2
 
4.5%
A 2
 
4.5%
e 1
 
2.3%
a 1
 
2.3%
f 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
63.7%
ASCII 365
35.8%
Compat Jamo 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
30.7%
; 26
 
7.1%
& 26
 
7.1%
[ 25
 
6.8%
] 25
 
6.8%
) 21
 
5.8%
( 21
 
5.8%
t 19
 
5.2%
5 11
 
3.0%
l 9
 
2.5%
Other values (20) 70
19.2%
Hangul
ValueCountFrequency (%)
22
 
3.4%
18
 
2.8%
16
 
2.5%
16
 
2.5%
16
 
2.5%
15
 
2.3%
14
 
2.2%
14
 
2.2%
14
 
2.2%
13
 
2.0%
Other values (192) 491
75.7%
Compat Jamo
ValueCountFrequency (%)
5
100.0%

결제방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
무료
37 
유료
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row유료
4th row유료
5th row무료

Common Values

ValueCountFrequency (%)
무료 37
92.5%
유료 3
 
7.5%

Length

2024-05-10T23:34:06.793586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:07.041264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 37
92.5%
유료 3
 
7.5%

장소명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
난지한강공원>한강야생탐사센터
10 
서울청년센터 마포
난지수변생태학습센터
서울시 강북노동자복지관
서울특별시 산악문화체험센터>노을별누리
Other values (8)

Length

Max length26
Median length25
Mean length14.5
Min length10

Unique

Unique7 ?
Unique (%)17.5%

Sample

1st row서울특별시 산악문화체험센터>반딧불이생태관
2nd row서울특별시 산악문화체험센터>노을별누리
3rd row서울특별시 산악문화체험센터>노을별누리
4th row서울특별시 산악문화체험센터>노을별누리
5th row서울특별시 산악문화체험센터>평화의공원 잔디광장

Common Values

ValueCountFrequency (%)
난지한강공원>한강야생탐사센터 10
25.0%
서울청년센터 마포 6
15.0%
난지수변생태학습센터 6
15.0%
서울시 강북노동자복지관 6
15.0%
서울특별시 산악문화체험센터>노을별누리 3
 
7.5%
노을에코교실(구, 노을여가센터) 2
 
5.0%
서울특별시 산악문화체험센터>반딧불이생태관 1
 
2.5%
서울특별시 산악문화체험센터>평화의공원 잔디광장 1
 
2.5%
난지한강공원>난지 야생탐사센터 1
 
2.5%
서부공원여가센터>월드컵공원>평화의 공원 장승마당 1
 
2.5%
Other values (3) 3
 
7.5%

Length

2024-05-10T23:34:07.363393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
난지한강공원>한강야생탐사센터 10
15.2%
마포 6
9.1%
난지수변생태학습센터 6
9.1%
서울시 6
9.1%
강북노동자복지관 6
9.1%
서울청년센터 6
9.1%
서울특별시 5
 
7.6%
산악문화체험센터>노을별누리 3
 
4.5%
노을에코교실(구 2
 
3.0%
노을여가센터 2
 
3.0%
Other values (14) 14
21.2%
Distinct23
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-10T23:34:07.842307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length22
Mean length13.5
Min length3

Characters and Unicode

Total characters540
Distinct characters72
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

Unique17 ?
Unique (%)42.5%

Sample

1st row 제한없음
2nd row 어린이(만5세~중학생(보호자 동반))
3rd row 가족(어린이는 부모 동반 필수)
4th row 성인
5th row 성인
ValueCountFrequency (%)
성인 11
 
12.4%
제한없음 10
 
11.2%
가족 8
 
9.0%
동반 6
 
6.7%
청소년 4
 
4.5%
청년(19세~39세 3
 
3.4%
19세~39세 3
 
3.4%
청년(만 3
 
3.4%
어린이(7세이상 3
 
3.4%
가족(어린이는 2
 
2.2%
Other values (30) 36
40.4%
2024-05-10T23:34:08.955376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
16.5%
( 28
 
5.2%
28
 
5.2%
) 28
 
5.2%
, 23
 
4.3%
19
 
3.5%
18
 
3.3%
18
 
3.3%
17
 
3.1%
16
 
3.0%
Other values (62) 256
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
59.1%
Space Separator 89
 
16.5%
Decimal Number 41
 
7.6%
Open Punctuation 28
 
5.2%
Close Punctuation 28
 
5.2%
Other Punctuation 24
 
4.4%
Math Symbol 9
 
1.7%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
8.8%
19
 
6.0%
18
 
5.6%
18
 
5.6%
17
 
5.3%
16
 
5.0%
16
 
5.0%
13
 
4.1%
12
 
3.8%
11
 
3.4%
Other values (46) 151
47.3%
Decimal Number
ValueCountFrequency (%)
9 12
29.3%
3 9
22.0%
1 8
19.5%
7 5
12.2%
6 2
 
4.9%
5 2
 
4.9%
4 2
 
4.9%
0 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
/ 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
59.1%
Common 219
40.6%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
8.8%
19
 
6.0%
18
 
5.6%
18
 
5.6%
17
 
5.3%
16
 
5.0%
16
 
5.0%
13
 
4.1%
12
 
3.8%
11
 
3.4%
Other values (46) 151
47.3%
Common
ValueCountFrequency (%)
89
40.6%
( 28
 
12.8%
) 28
 
12.8%
, 23
 
10.5%
9 12
 
5.5%
3 9
 
4.1%
~ 9
 
4.1%
1 8
 
3.7%
7 5
 
2.3%
6 2
 
0.9%
Other values (4) 6
 
2.7%
Latin
ValueCountFrequency (%)
m 1
50.0%
c 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
59.1%
ASCII 221
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
40.3%
( 28
 
12.7%
) 28
 
12.7%
, 23
 
10.4%
9 12
 
5.4%
3 9
 
4.1%
~ 9
 
4.1%
1 8
 
3.6%
7 5
 
2.3%
6 2
 
0.9%
Other values (6) 8
 
3.6%
Hangul
ValueCountFrequency (%)
28
 
8.8%
19
 
6.0%
18
 
5.6%
18
 
5.6%
17
 
5.3%
16
 
5.0%
16
 
5.0%
13
 
4.1%
12
 
3.8%
11
 
3.4%
Other values (46) 151
47.3%

바로가기URL
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-05-10T23:34:09.723822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters3680
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240422105221572099
2nd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240424132457195989
3rd rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240424145151409585
4th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240424152215246790
5th rowhttps://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240423160825904803
ValueCountFrequency (%)
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240422105221572099 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240424132457195989 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240424163003121734 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240427115701164694 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240418182420204364 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240411012840867023 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240415102705730791 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240423181241084691 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240507145240583243 1
 
2.5%
https://yeyak.seoul.go.kr/web/reservation/selectreservview.do?rsv_svc_id=s240424162134208415 1
 
2.5%
Other values (30) 30
75.0%
2024-05-10T23:34:11.163684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 400
 
10.9%
s 280
 
7.6%
r 200
 
5.4%
/ 200
 
5.4%
t 160
 
4.3%
v 160
 
4.3%
. 160
 
4.3%
o 160
 
4.3%
4 128
 
3.5%
2 125
 
3.4%
Other values (29) 1707
46.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2280
62.0%
Decimal Number 720
 
19.6%
Other Punctuation 440
 
12.0%
Uppercase Letter 120
 
3.3%
Connector Punctuation 80
 
2.2%
Math Symbol 40
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 400
17.5%
s 280
12.3%
r 200
 
8.8%
t 160
 
7.0%
v 160
 
7.0%
o 160
 
7.0%
i 120
 
5.3%
c 80
 
3.5%
w 80
 
3.5%
l 80
 
3.5%
Other values (10) 560
24.6%
Decimal Number
ValueCountFrequency (%)
4 128
17.8%
2 125
17.4%
0 104
14.4%
1 89
12.4%
5 57
7.9%
8 48
 
6.7%
3 44
 
6.1%
6 44
 
6.1%
9 43
 
6.0%
7 38
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 200
45.5%
. 160
36.4%
? 40
 
9.1%
: 40
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
V 40
33.3%
S 40
33.3%
R 40
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 80
100.0%
Math Symbol
ValueCountFrequency (%)
= 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2400
65.2%
Common 1280
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 400
16.7%
s 280
11.7%
r 200
 
8.3%
t 160
 
6.7%
v 160
 
6.7%
o 160
 
6.7%
i 120
 
5.0%
c 80
 
3.3%
w 80
 
3.3%
l 80
 
3.3%
Other values (13) 680
28.3%
Common
ValueCountFrequency (%)
/ 200
15.6%
. 160
12.5%
4 128
10.0%
2 125
9.8%
0 104
8.1%
1 89
 
7.0%
_ 80
 
6.2%
5 57
 
4.5%
8 48
 
3.8%
3 44
 
3.4%
Other values (6) 245
19.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 400
 
10.9%
s 280
 
7.6%
r 200
 
5.4%
/ 200
 
5.4%
t 160
 
4.3%
v 160
 
4.3%
. 160
 
4.3%
o 160
 
4.3%
4 128
 
3.5%
2 125
 
3.4%
Other values (29) 1707
46.4%

장소X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.8941
Minimum126.86903
Maximum126.9602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-10T23:34:11.643804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.86903
5-th percentile126.86903
Q1126.87226
median126.87915
Q3126.91224
95-th percentile126.9602
Maximum126.9602
Range0.09117
Interquartile range (IQR)0.039979469

Descriptive statistics

Standard deviation0.031518085
Coefficient of variation (CV)0.00024838101
Kurtosis0.3998478
Mean126.8941
Median Absolute Deviation (MAD)0.00901
Skewness1.3271054
Sum5075.7642
Variance0.0009933897
MonotonicityNot monotonic
2024-05-10T23:34:12.062989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
126.872260530671 10
25.0%
126.91224 6
15.0%
126.86903 6
15.0%
126.9602 6
15.0%
126.87882133621608 3
 
7.5%
126.88003583253357 2
 
5.0%
126.87948 1
 
2.5%
126.8914460979938 1
 
2.5%
126.88542105032526 1
 
2.5%
126.89764168692298 1
 
2.5%
Other values (3) 3
 
7.5%
ValueCountFrequency (%)
126.86903 6
15.0%
126.872260530671 10
25.0%
126.87512707105604 1
 
2.5%
126.87882133621608 3
 
7.5%
126.87948 1
 
2.5%
126.88003583253357 2
 
5.0%
126.88004 1
 
2.5%
126.88542105032526 1
 
2.5%
126.88705 1
 
2.5%
126.8914460979938 1
 
2.5%
ValueCountFrequency (%)
126.9602 6
15.0%
126.91224 6
15.0%
126.89764168692298 1
 
2.5%
126.8914460979938 1
 
2.5%
126.88705 1
 
2.5%
126.88542105032526 1
 
2.5%
126.88004 1
 
2.5%
126.88003583253357 2
 
5.0%
126.87948 1
 
2.5%
126.87882133621608 3
7.5%

장소Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.565467
Minimum37.55009
Maximum37.57446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-05-10T23:34:12.492241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.55009
5-th percentile37.55009
Q137.55701
median37.570391
Q337.57246
95-th percentile37.57446
Maximum37.57446
Range0.024370331
Interquartile range (IQR)0.01545

Descriptive statistics

Standard deviation0.0085539433
Coefficient of variation (CV)0.00022770763
Kurtosis-0.91942369
Mean37.565467
Median Absolute Deviation (MAD)0.0020694406
Skewness-0.80694587
Sum1502.6187
Variance7.3169946 × 10-5
MonotonicityNot monotonic
2024-05-10T23:34:13.149017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
37.5703905594201 10
25.0%
37.57246 7
17.5%
37.55009 6
15.0%
37.55701 6
15.0%
37.57446033087337 3
 
7.5%
37.569671397299146 2
 
5.0%
37.57006 1
 
2.5%
37.56189282860058 1
 
2.5%
37.56283678511617 1
 
2.5%
37.56333145682473 1
 
2.5%
Other values (2) 2
 
5.0%
ValueCountFrequency (%)
37.55009 6
15.0%
37.55701 6
15.0%
37.56189282860058 1
 
2.5%
37.56283678511617 1
 
2.5%
37.56333145682473 1
 
2.5%
37.569671397299146 2
 
5.0%
37.5697 1
 
2.5%
37.57006 1
 
2.5%
37.5703905594201 10
25.0%
37.57246 7
17.5%
ValueCountFrequency (%)
37.57446033087337 3
 
7.5%
37.57440009422064 1
 
2.5%
37.57246 7
17.5%
37.5703905594201 10
25.0%
37.57006 1
 
2.5%
37.5697 1
 
2.5%
37.569671397299146 2
 
5.0%
37.56333145682473 1
 
2.5%
37.56283678511617 1
 
2.5%
37.56189282860058 1
 
2.5%
Distinct13
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2024-02-20 00:00:00
Maximum2024-05-07 00:00:00
2024-05-10T23:34:13.592880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:34:14.081295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2024-05-12 00:00:00
Maximum2024-12-18 00:00:00
2024-05-10T23:34:14.569735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:34:15.155145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
Distinct15
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2024-02-20 00:00:00
Maximum2024-05-07 00:00:00
2024-05-10T23:34:15.547199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:34:16.156339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2024-04-05 09:00:00
Maximum2024-12-18 00:00:00
2024-05-10T23:34:16.906102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:34:17.353766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
마포구
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마포구 40
100.0%

Length

2024-05-10T23:34:17.748722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:34:18.082944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마포구 40
100.0%

Interactions

2024-05-10T23:33:57.436637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:33:56.781790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:33:57.693321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:33:57.181649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:34:18.382504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서비스ID소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시
서비스ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소분류명1.0001.0000.5341.0000.0000.8160.0001.0000.7790.7680.7270.9530.8730.969
서비스상태1.0000.5341.0001.0000.1060.6410.9181.0000.7850.8130.5590.7800.6480.743
서비스명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
결제방법1.0000.0000.1061.0001.0000.6680.0001.0000.5790.0000.0000.0000.0000.000
장소명1.0000.8160.6411.0000.6681.0000.8031.0001.0001.0000.5210.0000.0000.975
서비스대상1.0000.0000.9181.0000.0000.8031.0001.0000.8630.8480.0000.0000.0000.770
바로가기URL1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장소X좌표1.0000.7790.7851.0000.5791.0000.8631.0001.0000.9850.7920.7670.8150.989
장소Y좌표1.0000.7680.8131.0000.0001.0000.8481.0000.9851.0000.7840.7450.8100.970
서비스개시시작일시1.0000.7270.5591.0000.0000.5210.0001.0000.7920.7841.0000.8871.0000.944
서비스개시종료일시1.0000.9530.7801.0000.0000.0000.0001.0000.7670.7450.8871.0000.8890.978
접수시작일시1.0000.8730.6481.0000.0000.0000.0001.0000.8150.8101.0000.8891.0000.925
접수종료일시1.0000.9690.7431.0000.0000.9750.7701.0000.9890.9700.9440.9780.9251.000
2024-05-10T23:34:18.820012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소명소분류명결제방법서비스상태
장소명1.0000.5410.5280.387
소분류명0.5411.0000.0000.458
결제방법0.5280.0001.0000.169
서비스상태0.3870.4580.1691.000
2024-05-10T23:34:19.306539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소X좌표장소Y좌표소분류명서비스상태결제방법장소명
장소X좌표1.000-0.7900.6490.4430.3940.891
장소Y좌표-0.7901.0000.6350.4730.0000.891
소분류명0.6490.6351.0000.4580.0000.541
서비스상태0.4430.4730.4581.0000.1690.387
결제방법0.3940.0000.0000.1691.0000.528
장소명0.8910.8910.5410.3870.5281.000

Missing values

2024-05-10T23:33:58.175367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:33:58.967833image/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
0자체S240422105221572099교육강좌자연/과학접수중[월드컵공원] 꽁지 불빛 반딧불이 해설(5월)무료서울특별시 산악문화체험센터>반딧불이생태관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240422105221572099126.8794837.570062024-04-25 00:00:00.02024-05-28 00:00:00.02024-04-25 10:00:00.02024-05-27 17:00:00.0마포구
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서비스구분서비스ID대분류명소분류명서비스상태서비스명결제방법장소명서비스대상바로가기URL장소X좌표장소Y좌표서비스개시시작일시서비스개시종료일시접수시작일시접수종료일시지역명
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31자체S240425205726488350교육강좌자연/과학접수중[월드컵공원] 누에 생태 체험(5월)무료서부공원여가센터>월드컵공원>월드컵공원 누에체험관어린이(개인 및 기관/단체 등)https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240425205726488350126.87512737.57442024-04-25 00:00:00.02024-05-31 00:00:00.02024-04-25 10:00:00.02024-05-31 17:00:00.0마포구
32자체S240422132413994598교육강좌자연/과학예약마감[월드컵공원] 퐁퐁 액자 만들기(5월, 가족)무료서부공원여가센터>반딧불이 생태관가족(어린이는 부모 동반 필수)https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240422132413994598126.8800437.56972024-04-25 00:00:00.02024-05-18 00:00:00.02024-04-25 10:00:00.02024-05-17 17:00:00.0마포구
33자체S240220131215882191교육강좌스포츠접수중체형교정(몸펴기) 운동무료서울시 강북노동자복지관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240220131215882191126.960237.557012024-02-20 00:00:00.02024-12-18 00:00:00.02024-02-20 00:00:00.02024-12-18 00:00:00.0마포구
34자체S240429090952524189교육강좌공예/취미접수중(토)보컬레슨무료서울시 강북노동자복지관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240429090952524189126.960237.557012024-04-29 00:00:00.02024-07-06 00:00:00.02024-04-29 00:00:00.02024-05-25 00:00:00.0마포구
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36자체S240503175833659106교육강좌공예/취미접수중캘리그라피 클라스무료서울시 강북노동자복지관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240503175833659106126.960237.557012024-05-03 00:00:00.02024-07-01 00:00:00.02024-05-03 00:00:00.02024-05-18 00:00:00.0마포구
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38자체S240503185000566306교육강좌스포츠접수중몸치탈출 '다이어트 댄스' 교실무료서울시 강북노동자복지관제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240503185000566306126.960237.557012024-05-03 00:00:00.02024-07-13 00:00:00.02024-05-03 00:00:00.02024-06-22 00:00:00.0마포구
39자체S240424161536857186교육강좌스포츠접수중[월드컵공원] 즐거운 춤 테라피(5월)무료난지천공원 난지잔디광장제한없음https://yeyak.seoul.go.kr/web/reservation/selectReservView.do?rsv_svc_id=S240424161536857186126.8870537.572462024-04-25 00:00:00.02024-05-30 00:00:00.02024-04-25 10:00:00.02024-05-29 17:00:00.0마포구