Overview

Dataset statistics

Number of variables8
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory68.3 B

Variable types

Categorical3
Text2
Numeric2
DateTime1

Dataset

Description파주시 도서관 동아리 현황에 대한 데이터로, 동아리명, 회원수, 모임주기, 동아리 목적 등에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044657/fileData.do

Alerts

기준일자 has constant value ""Constant
회원계층 is highly imbalanced (73.3%)Imbalance

Reproduction

Analysis started2023-12-12 19:02:22.178404
Analysis finished2023-12-12 19:02:23.570616
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관
Categorical

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
교하
17 
중앙
해솔
한빛
가람
Other values (6)
13 

Length

Max length3
Median length2
Mean length2.0350877
Min length2

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
교하 17
29.8%
중앙 9
15.8%
해솔 7
12.3%
한빛 6
 
10.5%
가람 5
 
8.8%
문산 4
 
7.0%
탄현 3
 
5.3%
물푸레 2
 
3.5%
솔빛 2
 
3.5%
월롱 1
 
1.8%

Length

2023-12-13T04:02:23.739180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교하 17
29.8%
중앙 9
15.8%
해솔 7
12.3%
한빛 6
 
10.5%
가람 5
 
8.8%
문산 4
 
7.0%
탄현 3
 
5.3%
물푸레 2
 
3.5%
솔빛 2
 
3.5%
월롱 1
 
1.8%
Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:24.055397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.3684211
Min length2

Characters and Unicode

Total characters306
Distinct characters160
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

Unique55 ?
Unique (%)96.5%

Sample

1st row파란
2nd row오월에
3rd row다독따독
4th row가음공방
5th row가람BGM
ValueCountFrequency (%)
하브루타 2
 
2.5%
독서모임 2
 
2.5%
시니어독서토론 1
 
1.3%
time 1
 
1.3%
ib-fika 1
 
1.3%
파주스케치 1
 
1.3%
책벗 1
 
1.3%
책마중 1
 
1.3%
책끌림 1
 
1.3%
사이 1
 
1.3%
Other values (67) 67
84.8%
2023-12-13T04:02:24.546074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
7.2%
12
 
3.9%
8
 
2.6%
6
 
2.0%
5
 
1.6%
5
 
1.6%
5
 
1.6%
5
 
1.6%
5
 
1.6%
4
 
1.3%
Other values (150) 229
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
83.7%
Space Separator 22
 
7.2%
Uppercase Letter 11
 
3.6%
Lowercase Letter 6
 
2.0%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%
Other Punctuation 2
 
0.7%
Decimal Number 2
 
0.7%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
4.7%
8
 
3.1%
6
 
2.3%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
Other values (130) 197
77.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
18.2%
T 2
18.2%
B 2
18.2%
F 1
9.1%
O 1
9.1%
D 1
9.1%
G 1
9.1%
M 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
e 1
16.7%
m 1
16.7%
a 1
16.7%
k 1
16.7%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
83.7%
Common 33
 
10.8%
Latin 17
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
4.7%
8
 
3.1%
6
 
2.3%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
Other values (130) 197
77.0%
Latin
ValueCountFrequency (%)
I 2
11.8%
i 2
11.8%
T 2
11.8%
B 2
11.8%
e 1
 
5.9%
m 1
 
5.9%
a 1
 
5.9%
k 1
 
5.9%
F 1
 
5.9%
O 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
22
66.7%
) 3
 
9.1%
( 3
 
9.1%
. 2
 
6.1%
- 1
 
3.0%
8 1
 
3.0%
1 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
83.7%
ASCII 50
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
44.0%
) 3
 
6.0%
( 3
 
6.0%
I 2
 
4.0%
i 2
 
4.0%
T 2
 
4.0%
B 2
 
4.0%
. 2
 
4.0%
e 1
 
2.0%
m 1
 
2.0%
Other values (10) 10
20.0%
Hangul
ValueCountFrequency (%)
12
 
4.7%
8
 
3.1%
6
 
2.3%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
Other values (130) 197
77.0%

회원수
Real number (ℝ)

Distinct14
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9649123
Minimum5
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T04:02:24.702605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median8
Q310
95-th percentile16.2
Maximum30
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.3382226
Coefficient of variation (CV)0.48391133
Kurtosis8.9751845
Mean8.9649123
Median Absolute Deviation (MAD)2
Skewness2.4454991
Sum511
Variance18.820175
MonotonicityNot monotonic
2023-12-13T04:02:24.857853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 15
26.3%
10 11
19.3%
5 7
12.3%
8 5
 
8.8%
7 5
 
8.8%
12 3
 
5.3%
11 2
 
3.5%
9 2
 
3.5%
16 2
 
3.5%
18 1
 
1.8%
Other values (4) 4
 
7.0%
ValueCountFrequency (%)
5 7
12.3%
6 15
26.3%
7 5
 
8.8%
8 5
 
8.8%
9 2
 
3.5%
10 11
19.3%
11 2
 
3.5%
12 3
 
5.3%
13 1
 
1.8%
15 1
 
1.8%
ValueCountFrequency (%)
30 1
 
1.8%
18 1
 
1.8%
17 1
 
1.8%
16 2
 
3.5%
15 1
 
1.8%
13 1
 
1.8%
12 3
 
5.3%
11 2
 
3.5%
10 11
19.3%
9 2
 
3.5%

회원계층
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
일반
53 
청소년
 
3
주부
 
1

Length

Max length3
Median length2
Mean length2.0526316
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row일반
2nd row일반
3rd row일반
4th row일반
5th row청소년

Common Values

ValueCountFrequency (%)
일반 53
93.0%
청소년 3
 
5.3%
주부 1
 
1.8%

Length

2023-12-13T04:02:24.996066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:25.119804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 53
93.0%
청소년 3
 
5.3%
주부 1
 
1.8%

모임주기
Categorical

Distinct15
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
월2회
16 
주1회
13 
월1회
주1회(화)
주1회(수)
Other values (10)
12 

Length

Max length6
Median length3
Mean length3.8947368
Min length3

Unique

Unique8 ?
Unique (%)14.0%

Sample

1st row주1회
2nd row주1회
3rd row월2회
4th row주1회
5th row월1회

Common Values

ValueCountFrequency (%)
월2회 16
28.1%
주1회 13
22.8%
월1회 9
15.8%
주1회(화) 4
 
7.0%
주1회(수) 3
 
5.3%
월2회(화) 2
 
3.5%
주1회(목) 2
 
3.5%
<NA> 1
 
1.8%
월2회(금) 1
 
1.8%
주1회(금) 1
 
1.8%
Other values (5) 5
 
8.8%

Length

2023-12-13T04:02:25.270707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월2회 16
28.1%
주1회 13
22.8%
월1회 9
15.8%
주1회(화 4
 
7.0%
주1회(수 3
 
5.3%
월2회(화 2
 
3.5%
주1회(목 2
 
3.5%
na 1
 
1.8%
월2회(금 1
 
1.8%
주1회(금 1
 
1.8%
Other values (5) 5
 
8.8%
Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T04:02:25.616174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length25
Mean length16.561404
Min length4

Characters and Unicode

Total characters944
Distinct characters203
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)89.5%

Sample

1st row전 영역에 걸친 책읽기와 독서토론
2nd row클래식기타 독주/합주 연습
3rd row문학/인문학 도서 함께읽고 독서토론
4th row개인연주기량 발전 & 친목
5th row온·오프라인 도서관 정보서비스 기획·개발·운영 지원
ValueCountFrequency (%)
독서토론 13
 
5.3%
13
 
5.3%
토론 8
 
3.3%
함께 7
 
2.9%
모임 6
 
2.5%
동아리 6
 
2.5%
읽고 6
 
2.5%
인문학 4
 
1.6%
독서 4
 
1.6%
읽기 4
 
1.6%
Other values (146) 173
70.9%
2023-12-13T04:02:26.255800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
19.9%
31
 
3.3%
29
 
3.1%
25
 
2.6%
23
 
2.4%
23
 
2.4%
21
 
2.2%
19
 
2.0%
17
 
1.8%
15
 
1.6%
Other values (193) 553
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
77.0%
Space Separator 188
 
19.9%
Other Punctuation 18
 
1.9%
Uppercase Letter 6
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
4.3%
29
 
4.0%
25
 
3.4%
23
 
3.2%
23
 
3.2%
21
 
2.9%
19
 
2.6%
17
 
2.3%
15
 
2.1%
15
 
2.1%
Other values (179) 509
70.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
16.7%
Y 1
16.7%
R 1
16.7%
T 1
16.7%
O 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 10
55.6%
& 3
 
16.7%
· 3
 
16.7%
/ 2
 
11.1%
Space Separator
ValueCountFrequency (%)
188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
77.0%
Common 211
 
22.4%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
4.3%
29
 
4.0%
25
 
3.4%
23
 
3.2%
23
 
3.2%
21
 
2.9%
19
 
2.6%
17
 
2.3%
15
 
2.1%
15
 
2.1%
Other values (179) 509
70.0%
Common
ValueCountFrequency (%)
188
89.1%
, 10
 
4.7%
& 3
 
1.4%
· 3
 
1.4%
( 2
 
0.9%
/ 2
 
0.9%
) 2
 
0.9%
3 1
 
0.5%
Latin
ValueCountFrequency (%)
D 1
16.7%
Y 1
16.7%
R 1
16.7%
T 1
16.7%
O 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
77.0%
ASCII 214
 
22.7%
None 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
87.9%
, 10
 
4.7%
& 3
 
1.4%
( 2
 
0.9%
/ 2
 
0.9%
) 2
 
0.9%
D 1
 
0.5%
3 1
 
0.5%
Y 1
 
0.5%
R 1
 
0.5%
Other values (3) 3
 
1.4%
Hangul
ValueCountFrequency (%)
31
 
4.3%
29
 
4.0%
25
 
3.4%
23
 
3.2%
23
 
3.2%
21
 
2.9%
19
 
2.6%
17
 
2.3%
15
 
2.1%
15
 
2.1%
Other values (179) 509
70.0%
None
ValueCountFrequency (%)
· 3
100.0%

창립년도
Real number (ℝ)

Distinct13
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.1228
Minimum2009
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T04:02:26.442916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2012.6
Q12015
median2018
Q32022
95-th percentile2022.2
Maximum2023
Range14
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.5810522
Coefficient of variation (CV)0.0017744471
Kurtosis-0.49553091
Mean2018.1228
Median Absolute Deviation (MAD)3
Skewness-0.51005538
Sum115033
Variance12.823935
MonotonicityNot monotonic
2023-12-13T04:02:26.595740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 12
21.1%
2017 9
15.8%
2015 6
10.5%
2018 6
10.5%
2021 6
10.5%
2014 5
8.8%
2019 3
 
5.3%
2023 3
 
5.3%
2013 2
 
3.5%
2020 2
 
3.5%
Other values (3) 3
 
5.3%
ValueCountFrequency (%)
2009 1
 
1.8%
2010 1
 
1.8%
2011 1
 
1.8%
2013 2
 
3.5%
2014 5
8.8%
2015 6
10.5%
2017 9
15.8%
2018 6
10.5%
2019 3
 
5.3%
2020 2
 
3.5%
ValueCountFrequency (%)
2023 3
 
5.3%
2022 12
21.1%
2021 6
10.5%
2020 2
 
3.5%
2019 3
 
5.3%
2018 6
10.5%
2017 9
15.8%
2015 6
10.5%
2014 5
8.8%
2013 2
 
3.5%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2023-05-11 00:00:00
Maximum2023-05-11 00:00:00
2023-12-13T04:02:26.767621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:02:26.912930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:02:23.091680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:02:22.859309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:02:23.201849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:02:22.984697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:02:27.044322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관동아리명회원수회원계층모임주기동아리 목적, 주요활동창립년도
도서관1.0000.9400.0000.4090.5260.9880.212
동아리명0.9401.0000.9901.0001.0000.9911.000
회원수0.0000.9901.0000.0000.7220.9610.000
회원계층0.4091.0000.0001.0000.0001.0000.185
모임주기0.5261.0000.7220.0001.0000.9210.000
동아리 목적, 주요활동0.9880.9910.9611.0000.9211.0000.226
창립년도0.2121.0000.0000.1850.0000.2261.000
2023-12-13T04:02:27.215221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모임주기회원계층도서관
모임주기1.0000.0000.218
회원계층0.0001.0000.236
도서관0.2180.2361.000
2023-12-13T04:02:27.348081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원수창립년도도서관회원계층모임주기
회원수1.000-0.2120.0000.0000.372
창립년도-0.2121.0000.1140.1070.000
도서관0.0000.1141.0000.2360.218
회원계층0.0000.1070.2361.0000.000
모임주기0.3720.0000.2180.0001.000

Missing values

2023-12-13T04:02:23.360302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:02:23.508484image/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

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