Overview

Dataset statistics

Number of variables5
Number of observations165
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory42.8 B

Variable types

Text2
Numeric2
DateTime1

Dataset

Description인천광역시 연수구 평생학습 동아리 등록 현황데이터로서 동아리명, 학습내용, 전체회원수, 모임주기, 창립일 등의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15116584&srcSe=7661IVAWM27C61E190

Alerts

모임주기 has 2 (1.2%) missing valuesMissing

Reproduction

Analysis started2024-01-28 09:53:46.976694
Analysis finished2024-01-28 09:53:48.145254
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동아리명
Text

Distinct164
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T18:53:48.369077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.2
Min length2

Characters and Unicode

Total characters1353
Distinct characters337
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)98.8%

Sample

1st row천수패
2nd row꽃잎닷컴
3rd row벨로체 기타 앙상블
4th row책읽는 엄마모임
5th row연수구평생학습활동가협회
ValueCountFrequency (%)
앙상블 4
 
1.5%
모임 3
 
1.1%
어울림 2
 
0.7%
라온 2
 
0.7%
우쿨렐레 2
 
0.7%
독서 2
 
0.7%
미추홀 2
 
0.7%
얘기보따리 2
 
0.7%
학습동아리 2
 
0.7%
시간 2
 
0.7%
Other values (245) 250
91.6%
2024-01-28T18:53:48.851149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
8.0%
리 33
 
2.4%
아 22
 
1.6%
연 22
 
1.6%
기 20
 
1.5%
( 20
 
1.5%
) 19
 
1.4%
e 18
 
1.3%
스 18
 
1.3%
동 17
 
1.3%
Other values (327) 1056
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1025
75.8%
Lowercase Letter 121
 
8.9%
Space Separator 108
 
8.0%
Uppercase Letter 35
 
2.6%
Open Punctuation 21
 
1.6%
Close Punctuation 20
 
1.5%
Other Punctuation 11
 
0.8%
Decimal Number 11
 
0.8%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 33
 
3.2%
아 22
 
2.1%
연 22
 
2.1%
기 20
 
2.0%
스 18
 
1.8%
동 17
 
1.7%
어 17
 
1.7%
수 16
 
1.6%
인 16
 
1.6%
모 14
 
1.4%
Other values (276) 830
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 18
14.9%
o 13
10.7%
a 11
9.1%
s 9
7.4%
t 9
7.4%
g 9
7.4%
n 9
7.4%
i 9
7.4%
d 7
 
5.8%
u 6
 
5.0%
Other values (9) 21
17.4%
Uppercase Letter
ValueCountFrequency (%)
T 5
14.3%
C 5
14.3%
I 3
8.6%
W 3
8.6%
S 3
8.6%
R 3
8.6%
V 2
 
5.7%
L 2
 
5.7%
Y 2
 
5.7%
B 1
 
2.9%
Other values (6) 6
17.1%
Other Punctuation
ValueCountFrequency (%)
. 6
54.5%
" 2
 
18.2%
, 1
 
9.1%
: 1
 
9.1%
! 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
2 3
27.3%
1 2
18.2%
3 1
 
9.1%
8 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 20
95.2%
[ 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
] 1
 
5.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
75.7%
Common 172
 
12.7%
Latin 156
 
11.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 33
 
3.2%
아 22
 
2.1%
연 22
 
2.1%
기 20
 
2.0%
스 18
 
1.8%
동 17
 
1.7%
어 17
 
1.7%
수 16
 
1.6%
인 16
 
1.6%
모 14
 
1.4%
Other values (275) 829
81.0%
Latin
ValueCountFrequency (%)
e 18
 
11.5%
o 13
 
8.3%
a 11
 
7.1%
s 9
 
5.8%
t 9
 
5.8%
g 9
 
5.8%
n 9
 
5.8%
i 9
 
5.8%
d 7
 
4.5%
u 6
 
3.8%
Other values (25) 56
35.9%
Common
ValueCountFrequency (%)
108
62.8%
( 20
 
11.6%
) 19
 
11.0%
. 6
 
3.5%
0 4
 
2.3%
2 3
 
1.7%
1 2
 
1.2%
" 2
 
1.2%
] 1
 
0.6%
[ 1
 
0.6%
Other values (6) 6
 
3.5%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
75.7%
ASCII 328
 
24.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
32.9%
( 20
 
6.1%
) 19
 
5.8%
e 18
 
5.5%
o 13
 
4.0%
a 11
 
3.4%
s 9
 
2.7%
t 9
 
2.7%
g 9
 
2.7%
n 9
 
2.7%
Other values (41) 103
31.4%
Hangul
ValueCountFrequency (%)
리 33
 
3.2%
아 22
 
2.1%
연 22
 
2.1%
기 20
 
2.0%
스 18
 
1.8%
동 17
 
1.7%
어 17
 
1.7%
수 16
 
1.6%
인 16
 
1.6%
모 14
 
1.4%
Other values (275) 829
81.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

학습내용
Text

Distinct122
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-28T18:53:49.174971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length7.3212121
Min length2

Characters and Unicode

Total characters1208
Distinct characters252
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)60.0%

Sample

1st row사물놀이
2nd row꽃꽂이
3rd row클래식 기타
4th row독서지도
5th row평생교육
ValueCountFrequency (%)
영어 9
 
2.9%
및 8
 
2.6%
생태환경 5
 
1.6%
독서토론 5
 
1.6%
활동 4
 
1.3%
우쿨렐레 4
 
1.3%
책읽어주기 4
 
1.3%
독서 4
 
1.3%
치매예방 4
 
1.3%
보드게임 3
 
1.0%
Other values (224) 262
84.0%
2024-01-28T18:53:49.619609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
12.2%
어 32
 
2.6%
을 23
 
1.9%
이 19
 
1.6%
영 18
 
1.5%
기 18
 
1.5%
서 17
 
1.4%
화 16
 
1.3%
독 15
 
1.2%
, 14
 
1.2%
Other values (242) 889
73.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1025
84.9%
Space Separator 147
 
12.2%
Other Punctuation 20
 
1.7%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 32
 
3.1%
을 23
 
2.2%
이 19
 
1.9%
영 18
 
1.8%
기 18
 
1.8%
서 17
 
1.7%
화 16
 
1.6%
독 15
 
1.5%
사 14
 
1.4%
동 14
 
1.4%
Other values (237) 839
81.9%
Other Punctuation
ValueCountFrequency (%)
, 14
70.0%
. 6
30.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1025
84.9%
Common 183
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 32
 
3.1%
을 23
 
2.2%
이 19
 
1.9%
영 18
 
1.8%
기 18
 
1.8%
서 17
 
1.7%
화 16
 
1.6%
독 15
 
1.5%
사 14
 
1.4%
동 14
 
1.4%
Other values (237) 839
81.9%
Common
ValueCountFrequency (%)
147
80.3%
, 14
 
7.7%
) 8
 
4.4%
( 8
 
4.4%
. 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1025
84.9%
ASCII 183
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
80.3%
, 14
 
7.7%
) 8
 
4.4%
( 8
 
4.4%
. 6
 
3.3%
Hangul
ValueCountFrequency (%)
어 32
 
3.1%
을 23
 
2.2%
이 19
 
1.9%
영 18
 
1.8%
기 18
 
1.8%
서 17
 
1.7%
화 16
 
1.6%
독 15
 
1.5%
사 14
 
1.4%
동 14
 
1.4%
Other values (237) 839
81.9%

전체회원수
Real number (ℝ)

Distinct23
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8484848
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T18:53:49.729182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median9
Q312
95-th percentile18.8
Maximum34
Range33
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.7800475
Coefficient of variation (CV)0.48535867
Kurtosis3.7000689
Mean9.8484848
Median Absolute Deviation (MAD)3
Skewness1.5136054
Sum1625
Variance22.848854
MonotonicityNot monotonic
2024-01-28T18:53:49.833494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 48
29.1%
9 15
 
9.1%
11 14
 
8.5%
10 13
 
7.9%
7 11
 
6.7%
12 9
 
5.5%
14 8
 
4.8%
8 8
 
4.8%
5 7
 
4.2%
15 6
 
3.6%
Other values (13) 26
15.8%
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
3 1
 
0.6%
5 7
 
4.2%
6 48
29.1%
7 11
 
6.7%
8 8
 
4.8%
9 15
 
9.1%
10 13
 
7.9%
11 14
 
8.5%
ValueCountFrequency (%)
34 1
 
0.6%
25 1
 
0.6%
23 1
 
0.6%
21 3
1.8%
20 1
 
0.6%
19 2
 
1.2%
18 3
1.8%
17 5
3.0%
16 2
 
1.2%
15 6
3.6%

모임주기
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)4.9%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean3.4171779
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-28T18:53:49.918879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile8
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2161471
Coefficient of variation (CV)0.64853138
Kurtosis18.650055
Mean3.4171779
Median Absolute Deviation (MAD)0
Skewness2.9469441
Sum557
Variance4.911308
MonotonicityNot monotonic
2024-01-28T18:53:49.999833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 82
49.7%
2 33
20.0%
1 31
 
18.8%
8 11
 
6.7%
5 3
 
1.8%
20 1
 
0.6%
6 1
 
0.6%
3 1
 
0.6%
(Missing) 2
 
1.2%
ValueCountFrequency (%)
1 31
 
18.8%
2 33
20.0%
3 1
 
0.6%
4 82
49.7%
5 3
 
1.8%
6 1
 
0.6%
8 11
 
6.7%
20 1
 
0.6%
ValueCountFrequency (%)
20 1
 
0.6%
8 11
 
6.7%
6 1
 
0.6%
5 3
 
1.8%
4 82
49.7%
3 1
 
0.6%
2 33
20.0%
1 31
 
18.8%

창립일
Date

Distinct158
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2000-03-01 00:00:00
Maximum2023-07-04 00:00:00
2024-01-28T18:53:50.095203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:53:50.204893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-28T18:53:47.497177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:53:47.316035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:53:47.890273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:53:47.402633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:53:50.276158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체회원수모임주기
전체회원수1.0000.272
모임주기0.2721.000
2024-01-28T18:53:50.343435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체회원수모임주기
전체회원수1.0000.070
모임주기0.0701.000

Missing values

2024-01-28T18:53:48.016023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:53:48.102915image/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

동아리명학습내용전체회원수모임주기창립일
0천수패사물놀이21202000-03-01
1꽃잎닷컴꽃꽂이1012003-06-18
2벨로체 기타 앙상블클래식 기타2142006-03-01
3책읽는 엄마모임독서지도1542006-04-01
4연수구평생학습활동가협회평생교육1412006-07-25
5인천실버하모니카오케스트라하모니카2142007-01-01
6카페 향바리스타742008-03-02
7로제트 싱어즈(Rosette Singers)포크 기타1842008-04-01
8미추홀독서치료연구회독서치료1442008-05-29
9오른발왼발책읽어주기1242008-09-02
동아리명학습내용전체회원수모임주기창립일
155모두의 그림책작가별, 주제별, 시대별 그림책 연구와 활동 나눔842022-11-29
156소주삶(소소하지만 주인이 되는 삶)학습매니저 활동을 위한 셀프 코칭 및 역량 강화922022-12-01
157라온전래놀이.전통놀이.세계놀이.그림책놀이.책놀이.보드게임112022-12-01
158잉글리시 스터디말문이 트이는 영어 회화 강좌 수강 후 꾸준히 영어를 공부하기 위해서6<NA>2022-12-02
159디지털키스마트폰 작동 방법과 세부 기능, 앱 활용 방법에 관해 학습하고 연구합니다1242022-12-15
160어우동(어울려 노는 우리 동아리)다양한 놀이 문화에 대한 학습 활동 후 놀이감 및 장난감 제작 활동을 하여 공유812023-01-08
161책깨비독서812023-01-19
162보드스토리치매예방을 위한 프로그램 개발 및 활동 지역사회 봉사를 위해 보드게임 연구942023-01-27
163연수마을놀이학교세계의 놀이(만칼라,라응탄수,미뉴엣,켄다마 등등)922023-02-15
164영어토론동아리한가지 주제를 중심으로 영어로 토론하기1042023-07-04