Overview

Dataset statistics

Number of variables9
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory77.1 B

Variable types

Numeric1
Text3
Categorical5

Dataset

Description대구광역시 동구 관내 도서관의 문화강좌에 대한 데이터로 강좌명, 강사명, 대상, 운영요일, 장소, 수강료, 도서관명을 제공합니다.
URLhttps://www.data.go.kr/data/15102150/fileData.do

Alerts

수강료 has constant value ""Constant
데이터기준일자 has constant value ""Constant
장소 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
도서관명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 장소 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:49:53.454358
Analysis finished2023-12-12 05:49:54.220820
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T14:49:54.286523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-12T14:49:54.428964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

강좌명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T14:49:54.737726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length13.59375
Min length6

Characters and Unicode

Total characters435
Distinct characters161
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

Unique30 ?
Unique (%)93.8%

Sample

1st row독서교실)겨울방학을시작하다!
2nd row책으로!게임으로! 문해력을 부탁해
3rd row환경그림책과 함께하는 업사이클링
4th row플러스펜으로 그리는 수채화
5th row놀면서 배우는 금융이야기
ValueCountFrequency (%)
만나는 4
 
4.5%
플러스펜으로 2
 
2.3%
금융이야기 2
 
2.3%
창의쑥쑥 2
 
2.3%
가베놀이b 2
 
2.3%
그리는 2
 
2.3%
창의쏙쏙 2
 
2.3%
슬기로운 2
 
2.3%
talk 2
 
2.3%
표현 2
 
2.3%
Other values (64) 66
75.0%
2023-12-12T14:49:55.222395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
12.9%
이 13
 
3.0%
로 13
 
3.0%
는 12
 
2.8%
기 11
 
2.5%
그 9
 
2.1%
책 8
 
1.8%
으 8
 
1.8%
놀 8
 
1.8%
화 8
 
1.8%
Other values (151) 289
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
79.5%
Space Separator 56
 
12.9%
Other Punctuation 9
 
2.1%
Uppercase Letter 8
 
1.8%
Lowercase Letter 8
 
1.8%
Close Punctuation 4
 
0.9%
Open Punctuation 3
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
3.8%
로 13
 
3.8%
는 12
 
3.5%
기 11
 
3.2%
그 9
 
2.6%
책 8
 
2.3%
으 8
 
2.3%
놀 8
 
2.3%
화 8
 
2.3%
영 7
 
2.0%
Other values (136) 249
72.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
B 3
37.5%
C 1
 
12.5%
D 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
k 2
25.0%
l 2
25.0%
a 2
25.0%
t 2
25.0%
Other Punctuation
ValueCountFrequency (%)
! 6
66.7%
, 2
 
22.2%
? 1
 
11.1%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
79.5%
Common 73
 
16.8%
Latin 16
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
3.8%
로 13
 
3.8%
는 12
 
3.5%
기 11
 
3.2%
그 9
 
2.6%
책 8
 
2.3%
으 8
 
2.3%
놀 8
 
2.3%
화 8
 
2.3%
영 7
 
2.0%
Other values (136) 249
72.0%
Latin
ValueCountFrequency (%)
A 3
18.8%
B 3
18.8%
k 2
12.5%
l 2
12.5%
a 2
12.5%
t 2
12.5%
C 1
 
6.2%
D 1
 
6.2%
Common
ValueCountFrequency (%)
56
76.7%
! 6
 
8.2%
) 4
 
5.5%
( 3
 
4.1%
, 2
 
2.7%
? 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
79.5%
ASCII 89
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
62.9%
! 6
 
6.7%
) 4
 
4.5%
( 3
 
3.4%
A 3
 
3.4%
B 3
 
3.4%
k 2
 
2.2%
l 2
 
2.2%
a 2
 
2.2%
t 2
 
2.2%
Other values (5) 6
 
6.7%
Hangul
ValueCountFrequency (%)
이 13
 
3.8%
로 13
 
3.8%
는 12
 
3.5%
기 11
 
3.2%
그 9
 
2.6%
책 8
 
2.3%
으 8
 
2.3%
놀 8
 
2.3%
화 8
 
2.3%
영 7
 
2.0%
Other values (136) 249
72.0%

강사
Text

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T14:49:55.445179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.75
Min length3

Characters and Unicode

Total characters120
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)46.9%

Sample

1st row이영아
2nd row허선아
3rd row신지원
4th row정윤희
5th row고사랑, 윤미영
ValueCountFrequency (%)
조혜영 4
 
11.4%
김영실 3
 
8.6%
이영아 2
 
5.7%
정윤희 2
 
5.7%
정경남 2
 
5.7%
허선아 2
 
5.7%
양성은 2
 
5.7%
정현미 1
 
2.9%
황명희 1
 
2.9%
임수연 1
 
2.9%
Other values (15) 15
42.9%
2023-12-12T14:49:55.860847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 13
 
10.8%
김 6
 
5.0%
조 5
 
4.2%
정 5
 
4.2%
선 4
 
3.3%
아 4
 
3.3%
윤 4
 
3.3%
혜 4
 
3.3%
3
 
2.5%
은 3
 
2.5%
Other values (47) 69
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
95.8%
Space Separator 3
 
2.5%
Math Symbol 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 13
 
11.3%
김 6
 
5.2%
조 5
 
4.3%
정 5
 
4.3%
선 4
 
3.5%
아 4
 
3.5%
윤 4
 
3.5%
혜 4
 
3.5%
은 3
 
2.6%
미 3
 
2.6%
Other values (44) 64
55.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
95.8%
Common 5
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 13
 
11.3%
김 6
 
5.2%
조 5
 
4.3%
정 5
 
4.3%
선 4
 
3.5%
아 4
 
3.5%
윤 4
 
3.5%
혜 4
 
3.5%
은 3
 
2.6%
미 3
 
2.6%
Other values (44) 64
55.7%
Common
ValueCountFrequency (%)
3
60.0%
+ 1
 
20.0%
, 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
95.8%
ASCII 5
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 13
 
11.3%
김 6
 
5.2%
조 5
 
4.3%
정 5
 
4.3%
선 4
 
3.5%
아 4
 
3.5%
윤 4
 
3.5%
혜 4
 
3.5%
은 3
 
2.6%
미 3
 
2.6%
Other values (44) 64
55.7%
ASCII
ValueCountFrequency (%)
3
60.0%
+ 1
 
20.0%
, 1
 
20.0%

대상
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T14:49:56.120420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length7.25
Min length2

Characters and Unicode

Total characters232
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)62.5%

Sample

1st row초등1~3학년 20명
2nd row초등1~3학년 20명
3rd row초등3~5학년 15명
4th row청소년이상 성인 20명
5th row초등3~6학년 20명
ValueCountFrequency (%)
성인 9
17.3%
20명 7
13.5%
15명 5
 
9.6%
초등1~3학년 2
 
3.8%
초1~2학년 2
 
3.8%
25명 2
 
3.8%
청소년이상 2
 
3.8%
초등 2
 
3.8%
5~6세 2
 
3.8%
10명 2
 
3.8%
Other values (17) 17
32.7%
2023-12-12T14:49:56.503739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
 
8.6%
~ 20
 
8.6%
20
 
8.6%
년 18
 
7.8%
명 18
 
7.8%
초 16
 
6.9%
2 16
 
6.9%
5 14
 
6.0%
학 14
 
6.0%
성 10
 
4.3%
Other values (15) 66
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
47.8%
Decimal Number 81
34.9%
Math Symbol 20
 
8.6%
Space Separator 20
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 18
16.2%
명 18
16.2%
초 16
14.4%
학 14
12.6%
성 10
9.0%
등 10
9.0%
인 10
9.0%
세 4
 
3.6%
청 2
 
1.8%
소 2
 
1.8%
Other values (4) 7
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 20
24.7%
2 16
19.8%
5 14
17.3%
0 9
11.1%
3 8
 
9.9%
6 5
 
6.2%
7 4
 
4.9%
4 4
 
4.9%
8 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
52.2%
Hangul 111
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 18
16.2%
명 18
16.2%
초 16
14.4%
학 14
12.6%
성 10
9.0%
등 10
9.0%
인 10
9.0%
세 4
 
3.6%
청 2
 
1.8%
소 2
 
1.8%
Other values (4) 7
 
6.3%
Common
ValueCountFrequency (%)
1 20
16.5%
~ 20
16.5%
20
16.5%
2 16
13.2%
5 14
11.6%
0 9
7.4%
3 8
 
6.6%
6 5
 
4.1%
7 4
 
3.3%
4 4
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
52.2%
Hangul 111
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
16.5%
~ 20
16.5%
20
16.5%
2 16
13.2%
5 14
11.6%
0 9
7.4%
3 8
 
6.6%
6 5
 
4.1%
7 4
 
3.3%
4 4
 
3.3%
Hangul
ValueCountFrequency (%)
년 18
16.2%
명 18
16.2%
초 16
14.4%
학 14
12.6%
성 10
9.0%
등 10
9.0%
인 10
9.0%
세 4
 
3.6%
청 2
 
1.8%
소 2
 
1.8%
Other values (4) 7
 
6.3%

운영요일
Categorical

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
목
6 
금
6 
화+수+목+금
5 
화
5 
수
4 
Other values (4)
6 

Length

Max length7
Median length1
Mean length2.375
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row수+목
2nd row화+수+목+금
3rd row수+목+금
4th row목
5th row화+수+목+금

Common Values

ValueCountFrequency (%)
목 6
18.8%
금 6
18.8%
화+수+목+금 5
15.6%
화 5
15.6%
수 4
12.5%
수+금 2
 
6.2%
화+목 2
 
6.2%
수+목 1
 
3.1%
수+목+금 1
 
3.1%

Length

2023-12-12T14:49:56.656501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:56.831935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목 6
18.8%
금 6
18.8%
화+수+목+금 5
15.6%
화 5
15.6%
수 4
12.5%
수+금 2
 
6.2%
화+목 2
 
6.2%
수+목 1
 
3.1%
수+목+금 1
 
3.1%

장소
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
세미나실
11 
강좌실
11 
시청각실
7 
북스타트룸
3 

Length

Max length5
Median length4
Mean length3.75
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세미나실
2nd row세미나실
3rd row세미나실
4th row시청각실
5th row세미나실

Common Values

ValueCountFrequency (%)
세미나실 11
34.4%
강좌실 11
34.4%
시청각실 7
21.9%
북스타트룸 3
 
9.4%

Length

2023-12-12T14:49:56.998474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:57.151792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세미나실 11
34.4%
강좌실 11
34.4%
시청각실 7
21.9%
북스타트룸 3
 
9.4%

수강료
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
없음
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 32
100.0%

Length

2023-12-12T14:49:57.301173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:57.424309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 32
100.0%

도서관명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
안심도서관
18 
신천도서관
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안심도서관 18
56.2%
신천도서관 14
43.8%

Length

2023-12-12T14:49:57.529105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:57.649254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안심도서관 18
56.2%
신천도서관 14
43.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-05-17
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 32
100.0%

Length

2023-12-12T14:49:57.770126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:57.903220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 32
100.0%

Interactions

2023-12-12T14:49:53.881840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:49:57.983977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번강좌명강사대상운영요일장소도서관명
연번1.0000.9370.8560.8970.6570.8860.995
강좌명0.9371.0001.0001.0001.0001.0001.000
강사0.8561.0001.0000.9310.8880.9580.810
대상0.8971.0000.9311.0000.3840.8941.000
운영요일0.6571.0000.8880.3841.0000.3610.316
장소0.8861.0000.9580.8940.3611.0001.000
도서관명0.9951.0000.8101.0000.3161.0001.000
2023-12-12T14:49:58.110350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소운영요일도서관명
장소1.0000.1950.966
운영요일0.1951.0000.263
도서관명0.9660.2631.000
2023-12-12T14:49:58.220113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영요일장소도서관명
연번1.0000.3490.6680.804
운영요일0.3491.0000.1950.263
장소0.6680.1951.0000.966
도서관명0.8040.2630.9661.000

Missing values

2023-12-12T14:49:54.025299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:49:54.168803image/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

연번강좌명강사대상운영요일장소수강료도서관명데이터기준일자
01독서교실)겨울방학을시작하다!이영아초등1~3학년 20명수+목세미나실없음안심도서관2023-05-17
12책으로!게임으로! 문해력을 부탁해허선아초등1~3학년 20명화+수+목+금세미나실없음안심도서관2023-05-17
23환경그림책과 함께하는 업사이클링신지원초등3~5학년 15명수+목+금세미나실없음안심도서관2023-05-17
34플러스펜으로 그리는 수채화정윤희청소년이상 성인 20명목시청각실없음안심도서관2023-05-17
45놀면서 배우는 금융이야기고사랑, 윤미영초등3~6학년 20명화+수+목+금세미나실없음안심도서관2023-05-17
56플러스펜으로 그리는 수채화정윤희청소년이상 성인 20명목시청각실없음안심도서관2023-05-17
67나의 인생 책, 젠탱글 아트액자 만들기이지언성인 15명수+금시청각실없음안심도서관2023-05-17
78시대별 영화속 팝송과 따끈한 미국영어 표현정경남성인 25명화+목시청각실없음안심도서관2023-05-17
89그림책리딩클럽조은빛나라초등1~2학년15명수+금세미나실없음안심도서관2023-05-17
9103D펜으로 만나는 이야기 talk talk!이영아초등전학년 15명화+목세미나실없음안심도서관2023-05-17
연번강좌명강사대상운영요일장소수강료도서관명데이터기준일자
2223나는 누구?박기영초3~5학년목강좌실없음신천도서관2023-05-17
2324창의쑥쑥 가베놀이A조혜영16~17년생금강좌실없음신천도서관2023-05-17
2425창의쑥쑥 가베놀이B조혜영17~18년생금강좌실없음신천도서관2023-05-17
2526영어그림책이랑놀자(A)김영실초1~2학년금북스타트룸없음신천도서관2023-05-17
2627영어그림책이랑놀자(B)김영실6~7세금북스타트룸없음신천도서관2023-05-17
2728영어그림책이랑놀자(C)김영실5~6세금북스타트룸없음신천도서관2023-05-17
2829도전!위인탐험대엄경숙초1~2학년화강좌실없음신천도서관2023-05-17
2930초등사회탐구생활박선영초3~4학년목강좌실없음신천도서관2023-05-17
3031아이와 행복소통하기임수연성인수강좌실없음신천도서관2023-05-17
3132내 손으로 담아내는 캘리그라피 명언김옥선성인화강좌실없음신천도서관2023-05-17