Overview

Dataset statistics

Number of variables9
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory75.3 B

Variable types

Numeric2
Text3
Categorical3
DateTime1

Dataset

Description부산광역시 북구에서 활동하는 평생학습 동아리와 관련된 정보로 동아리명, 분류, 소속단체, 설립일자, 회원수, 모임장소 등의 데이터를 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15039113/fileData.do

Alerts

홈페이지 is highly imbalanced (75.8%)Imbalance
순번 has unique valuesUnique
동아리명 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:51:43.692575
Analysis finished2024-03-15 00:51:46.384101
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T09:51:46.525808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2024-03-15T09:51:46.876370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

동아리명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-03-15T09:51:48.024567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.1078431
Min length2

Characters and Unicode

Total characters827
Distinct characters240
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

Unique102 ?
Unique (%)100.0%

Sample

1st row웰빙스포츠 댄스동아리
2nd row구포1동 서예교실
3rd row동화창작모임 씨앗
4th row시랑골예술단
5th row단전호흡
ValueCountFrequency (%)
북구 4
 
2.3%
서예교실 3
 
1.7%
하모니카 2
 
1.1%
앙상블 2
 
1.1%
덕천3동 2
 
1.1%
50+해피트리멘토(신중년 2
 
1.1%
댄스동아리 2
 
1.1%
다시 2
 
1.1%
구포1동 2
 
1.1%
한국무용 2
 
1.1%
Other values (151) 151
86.8%
2024-03-15T09:51:49.358354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
8.8%
28
 
3.4%
27
 
3.3%
16
 
1.9%
15
 
1.8%
14
 
1.7%
13
 
1.6%
13
 
1.6%
12
 
1.5%
11
 
1.3%
Other values (230) 605
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
84.9%
Space Separator 73
 
8.8%
Decimal Number 20
 
2.4%
Close Punctuation 8
 
1.0%
Open Punctuation 8
 
1.0%
Other Punctuation 7
 
0.8%
Uppercase Letter 4
 
0.5%
Math Symbol 2
 
0.2%
Lowercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
4.0%
27
 
3.8%
16
 
2.3%
15
 
2.1%
14
 
2.0%
13
 
1.9%
13
 
1.9%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (211) 542
77.2%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
1 4
20.0%
0 4
20.0%
3 4
20.0%
5 2
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
Q 1
25.0%
S 1
25.0%
B 1
25.0%
I 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
& 2
28.6%
! 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
84.9%
Common 119
 
14.4%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
4.0%
27
 
3.8%
16
 
2.3%
15
 
2.1%
14
 
2.0%
13
 
1.9%
13
 
1.9%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (211) 542
77.2%
Common
ValueCountFrequency (%)
73
61.3%
) 8
 
6.7%
( 8
 
6.7%
2 6
 
5.0%
1 4
 
3.4%
0 4
 
3.4%
3 4
 
3.4%
, 4
 
3.4%
5 2
 
1.7%
+ 2
 
1.7%
Other values (3) 4
 
3.4%
Latin
ValueCountFrequency (%)
Q 1
16.7%
S 1
16.7%
B 1
16.7%
m 1
16.7%
a 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 702
84.9%
ASCII 125
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
58.4%
) 8
 
6.4%
( 8
 
6.4%
2 6
 
4.8%
1 4
 
3.2%
0 4
 
3.2%
3 4
 
3.2%
, 4
 
3.2%
5 2
 
1.6%
+ 2
 
1.6%
Other values (9) 10
 
8.0%
Hangul
ValueCountFrequency (%)
28
 
4.0%
27
 
3.8%
16
 
2.3%
15
 
2.1%
14
 
2.0%
13
 
1.9%
13
 
1.9%
12
 
1.7%
11
 
1.6%
11
 
1.6%
Other values (211) 542
77.2%

조사결과
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size944.0 B
유지
52 
회원수변경
46 
회원수, 명칭변경
 
3
변경
 
1

Length

Max length9
Median length2
Mean length3.5588235
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row회원수변경
2nd row회원수변경
3rd row회원수변경
4th row유지
5th row회원수변경

Common Values

ValueCountFrequency (%)
유지 52
51.0%
회원수변경 46
45.1%
회원수, 명칭변경 3
 
2.9%
변경 1
 
1.0%

Length

2024-03-15T09:51:49.655245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:51:50.103719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유지 52
49.5%
회원수변경 46
43.8%
회원수 3
 
2.9%
명칭변경 3
 
2.9%
변경 1
 
1.0%

분류
Categorical

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size944.0 B
교양/일반
28 
음악/미술
24 
학습
20 
건강/체육
17 
교양일반
Other values (3)

Length

Max length5
Median length5
Mean length4.2058824
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row건강/체육
2nd row교양/일반
3rd row학습
4th row음악/미술
5th row건강/체육

Common Values

ValueCountFrequency (%)
교양/일반 28
27.5%
음악/미술 24
23.5%
학습 20
19.6%
건강/체육 17
16.7%
교양일반 7
 
6.9%
자격증 3
 
2.9%
어학 2
 
2.0%
컴퓨터 1
 
1.0%

Length

2024-03-15T09:51:50.492811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:51:50.854332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교양/일반 28
27.5%
음악/미술 24
23.5%
학습 20
19.6%
건강/체육 17
16.7%
교양일반 7
 
6.9%
자격증 3
 
2.9%
어학 2
 
2.0%
컴퓨터 1
 
1.0%
Distinct53
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-03-15T09:51:51.720265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.8333333
Min length2

Characters and Unicode

Total characters799
Distinct characters118
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

Unique35 ?
Unique (%)34.3%

Sample

1st row화정종합사회복지관
2nd row구포1동행정복지센터
3rd row화명도서관
4th row구포3동주민자치센터
5th row구포3동주민자치센터
ValueCountFrequency (%)
없음 10
 
8.3%
북구평생학습관 7
 
5.8%
북구 7
 
5.8%
화정종합사회복지관 7
 
5.8%
동원종합사회복지관 6
 
5.0%
북구장애인종합복지관 5
 
4.1%
화명도서관 4
 
3.3%
금곡도서관 3
 
2.5%
만덕종합사회복지관 3
 
2.5%
평생학습관 3
 
2.5%
Other values (54) 66
54.5%
2024-03-15T09:51:53.042498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
5.6%
43
 
5.4%
43
 
5.4%
34
 
4.3%
33
 
4.1%
29
 
3.6%
26
 
3.3%
25
 
3.1%
25
 
3.1%
25
 
3.1%
Other values (108) 471
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
93.7%
Decimal Number 20
 
2.5%
Space Separator 19
 
2.4%
Math Symbol 4
 
0.5%
Other Punctuation 2
 
0.3%
Lowercase Letter 2
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
6.0%
43
 
5.7%
43
 
5.7%
34
 
4.5%
33
 
4.4%
29
 
3.9%
26
 
3.5%
25
 
3.3%
25
 
3.3%
25
 
3.3%
Other values (96) 421
56.2%
Decimal Number
ValueCountFrequency (%)
2 9
45.0%
3 7
35.0%
1 4
20.0%
Math Symbol
ValueCountFrequency (%)
> 2
50.0%
< 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
93.7%
Common 47
 
5.9%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
6.0%
43
 
5.7%
43
 
5.7%
34
 
4.5%
33
 
4.4%
29
 
3.9%
26
 
3.5%
25
 
3.3%
25
 
3.3%
25
 
3.3%
Other values (96) 421
56.2%
Common
ValueCountFrequency (%)
19
40.4%
2 9
19.1%
3 7
 
14.9%
1 4
 
8.5%
/ 2
 
4.3%
> 2
 
4.3%
< 2
 
4.3%
( 1
 
2.1%
) 1
 
2.1%
Latin
ValueCountFrequency (%)
I 1
33.3%
a 1
33.3%
m 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
93.7%
ASCII 50
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
45
 
6.0%
43
 
5.7%
43
 
5.7%
34
 
4.5%
33
 
4.4%
29
 
3.9%
26
 
3.5%
25
 
3.3%
25
 
3.3%
25
 
3.3%
Other values (96) 421
56.2%
ASCII
ValueCountFrequency (%)
19
38.0%
2 9
18.0%
3 7
 
14.0%
1 4
 
8.0%
/ 2
 
4.0%
> 2
 
4.0%
< 2
 
4.0%
( 1
 
2.0%
) 1
 
2.0%
I 1
 
2.0%
Other values (2) 2
 
4.0%
Distinct96
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size944.0 B
Minimum1994-07-01 00:00:00
Maximum2023-10-03 00:00:00
2024-03-15T09:51:53.682583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:51:54.256273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회원수(명)
Real number (ℝ)

Distinct19
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.77451
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-15T09:51:54.655943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q110
median12
Q315.75
95-th percentile25.95
Maximum120
Range115
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation12.506558
Coefficient of variation (CV)0.84649564
Kurtosis50.493296
Mean14.77451
Median Absolute Deviation (MAD)2
Skewness6.3338296
Sum1507
Variance156.414
MonotonicityNot monotonic
2024-03-15T09:51:55.156924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 33
32.4%
20 12
 
11.8%
13 8
 
7.8%
15 8
 
7.8%
12 7
 
6.9%
11 5
 
4.9%
8 5
 
4.9%
18 4
 
3.9%
14 3
 
2.9%
6 3
 
2.9%
Other values (9) 14
13.7%
ValueCountFrequency (%)
5 2
 
2.0%
6 3
 
2.9%
7 2
 
2.0%
8 5
 
4.9%
10 33
32.4%
11 5
 
4.9%
12 7
 
6.9%
13 8
 
7.8%
14 3
 
2.9%
15 8
 
7.8%
ValueCountFrequency (%)
120 1
 
1.0%
50 1
 
1.0%
40 1
 
1.0%
30 2
 
2.0%
26 1
 
1.0%
25 2
 
2.0%
20 12
11.8%
18 4
 
3.9%
16 2
 
2.0%
15 8
7.8%

홈페이지
Categorical

IMBALANCE 

Distinct12
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size944.0 B
없음
91 
http://jumin.busan.go.kr/dong/gupo1/
 
1
http://cafe.naver.com/seeds101031
 
1
cafe.daum.net/siranghuman
 
1
http://cafe.daum.net/h.m.eco2012?t__nil_cafemy=item
 
1
Other values (7)
 
7

Length

Max length51
Median length2
Mean length5.0490196
Min length2

Unique

Unique11 ?
Unique (%)10.8%

Sample

1st row없음
2nd rowhttp://jumin.busan.go.kr/dong/gupo1/
3rd rowhttp://cafe.naver.com/seeds101031
4th rowcafe.daum.net/siranghuman
5th row없음

Common Values

ValueCountFrequency (%)
없음 91
89.2%
http://jumin.busan.go.kr/dong/gupo1/ 1
 
1.0%
http://cafe.naver.com/seeds101031 1
 
1.0%
cafe.daum.net/siranghuman 1
 
1.0%
http://cafe.daum.net/h.m.eco2012?t__nil_cafemy=item 1
 
1.0%
http://cafe.daum.net/sanghaktable 1
 
1.0%
http://cafe.naver.com/urigong 1
 
1.0%
http://hwajung.saem.or.kr/ 1
 
1.0%
https://band.us/band/75954397 1
 
1.0%
https://band.us/n/a0a362Y9Hbd5y 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2024-03-15T09:51:55.594804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 91
89.2%
http://jumin.busan.go.kr/dong/gupo1 1
 
1.0%
http://cafe.naver.com/seeds101031 1
 
1.0%
cafe.daum.net/siranghuman 1
 
1.0%
http://cafe.daum.net/h.m.eco2012?t__nil_cafemy=item 1
 
1.0%
http://cafe.daum.net/sanghaktable 1
 
1.0%
http://cafe.naver.com/urigong 1
 
1.0%
http://hwajung.saem.or.kr 1
 
1.0%
https://band.us/band/75954397 1
 
1.0%
https://band.us/n/a0a362y9hbd5y 1
 
1.0%
Other values (2) 2
 
2.0%
Distinct86
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size944.0 B
2024-03-15T09:51:56.836774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30
Mean length13.598039
Min length3

Characters and Unicode

Total characters1387
Distinct characters204
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

Unique72 ?
Unique (%)70.6%

Sample

1st row화정종합사회복지관(활동실)
2nd row구포1동행정복지센터 2층 프로그램실
3rd row화명도서관 지하1층 그룹토의실
4th row구포3동주민자치센터
5th row구포3동주민자치센터
ValueCountFrequency (%)
3층 13
 
5.1%
북구 11
 
4.3%
2층 8
 
3.1%
프로그램실 8
 
3.1%
동원종합사회복지관 5
 
1.9%
5
 
1.9%
행정복지센터 4
 
1.6%
체력단련실 4
 
1.6%
강당 4
 
1.6%
화명도서관 4
 
1.6%
Other values (142) 191
74.3%
2024-03-15T09:51:58.366128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
11.4%
51
 
3.7%
45
 
3.2%
45
 
3.2%
41
 
3.0%
34
 
2.5%
33
 
2.4%
31
 
2.2%
30
 
2.2%
30
 
2.2%
Other values (194) 889
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1078
77.7%
Space Separator 158
 
11.4%
Decimal Number 108
 
7.8%
Other Punctuation 8
 
0.6%
Lowercase Letter 8
 
0.6%
Close Punctuation 7
 
0.5%
Uppercase Letter 7
 
0.5%
Open Punctuation 6
 
0.4%
Dash Punctuation 5
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
4.7%
45
 
4.2%
45
 
4.2%
41
 
3.8%
34
 
3.2%
33
 
3.1%
31
 
2.9%
30
 
2.8%
30
 
2.8%
28
 
2.6%
Other values (165) 710
65.9%
Decimal Number
ValueCountFrequency (%)
2 27
25.0%
3 24
22.2%
1 23
21.3%
4 11
10.2%
0 8
 
7.4%
5 6
 
5.6%
9 3
 
2.8%
6 3
 
2.8%
8 2
 
1.9%
7 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
37.5%
m 2
25.0%
z 1
 
12.5%
d 1
 
12.5%
i 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
O 2
28.6%
K 2
28.6%
M 1
14.3%
B 1
14.3%
E 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
/ 1
 
12.5%
& 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1078
77.7%
Common 294
 
21.2%
Latin 15
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
4.7%
45
 
4.2%
45
 
4.2%
41
 
3.8%
34
 
3.2%
33
 
3.1%
31
 
2.9%
30
 
2.8%
30
 
2.8%
28
 
2.6%
Other values (165) 710
65.9%
Common
ValueCountFrequency (%)
158
53.7%
2 27
 
9.2%
3 24
 
8.2%
1 23
 
7.8%
4 11
 
3.7%
0 8
 
2.7%
) 7
 
2.4%
( 6
 
2.0%
, 6
 
2.0%
5 6
 
2.0%
Other values (9) 18
 
6.1%
Latin
ValueCountFrequency (%)
o 3
20.0%
O 2
13.3%
K 2
13.3%
m 2
13.3%
z 1
 
6.7%
d 1
 
6.7%
i 1
 
6.7%
M 1
 
6.7%
B 1
 
6.7%
E 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1078
77.7%
ASCII 309
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
51.1%
2 27
 
8.7%
3 24
 
7.8%
1 23
 
7.4%
4 11
 
3.6%
0 8
 
2.6%
) 7
 
2.3%
( 6
 
1.9%
, 6
 
1.9%
5 6
 
1.9%
Other values (19) 33
 
10.7%
Hangul
ValueCountFrequency (%)
51
 
4.7%
45
 
4.2%
45
 
4.2%
41
 
3.8%
34
 
3.2%
33
 
3.1%
31
 
2.9%
30
 
2.8%
30
 
2.8%
28
 
2.6%
Other values (165) 710
65.9%

Interactions

2024-03-15T09:51:45.662653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:51:45.295952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:51:45.805908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:51:45.491275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:51:58.634540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조사결과분류소속단체설립일자회원수(명)홈페이지모임장소
순번1.0000.5610.5220.6710.9790.4730.0000.823
조사결과0.5611.0000.3070.9320.9980.0000.0000.969
분류0.5220.3071.0000.0000.9940.0000.0000.842
소속단체0.6710.9320.0001.0000.0000.5320.0000.997
설립일자0.9790.9980.9940.0001.0000.0001.0000.978
회원수(명)0.4730.0000.0000.5320.0001.0000.0000.000
홈페이지0.0000.0000.0000.0001.0000.0001.0000.827
모임장소0.8230.9690.8420.9970.9780.0000.8271.000
2024-03-15T09:51:59.002717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사결과홈페이지분류
조사결과1.0000.0000.136
홈페이지0.0001.0000.000
분류0.1360.0001.000
2024-03-15T09:51:59.269155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회원수(명)조사결과분류홈페이지
순번1.000-0.2290.3580.2770.000
회원수(명)-0.2291.0000.0000.0000.000
조사결과0.3580.0001.0000.1360.000
분류0.2770.0000.1361.0000.000
홈페이지0.0000.0000.0000.0001.000

Missing values

2024-03-15T09:51:46.033651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:51:46.291252image/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

순번동아리명조사결과분류소속단체설립일자회원수(명)홈페이지모임장소
01웰빙스포츠 댄스동아리회원수변경건강/체육화정종합사회복지관2006-01-0220없음화정종합사회복지관(활동실)
12구포1동 서예교실회원수변경교양/일반구포1동행정복지센터1996-01-0110http://jumin.busan.go.kr/dong/gupo1/구포1동행정복지센터 2층 프로그램실
23동화창작모임 씨앗회원수변경학습화명도서관2010-12-017http://cafe.naver.com/seeds101031화명도서관 지하1층 그룹토의실
34시랑골예술단유지음악/미술구포3동주민자치센터1994-07-0120cafe.daum.net/siranghuman구포3동주민자치센터
45단전호흡회원수변경건강/체육구포3동주민자치센터2001-03-0540없음구포3동주민자치센터
56가마골 품앗이 사진반회원수변경교양/일반동원종합사회복지관2009-05-3010없음복지관 내,외
67은가람 실버합창단회원수변경음악/미술만덕종합사회복지관2012-01-1650없음만덕종합사회복지관 3층 프로그램 3실
78아름다운 화명생태지킴이회원수변경교양/일반화명종합사회복지관2012-03-0510http://cafe.daum.net/h.m.eco2012?t__nil_cafemy=item화명동 일대 공원 및 금정산
89오카소리 오카리나 앙상블유지음악/미술만덕2동 사무소2011-09-0513없음만덕2동사무소
910한국무용회원수변경건강/체육화정종합사회복지관2008-04-0115없음활동실
순번동아리명조사결과분류소속단체설립일자회원수(명)홈페이지모임장소
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