Overview

Dataset statistics

Number of variables5
Number of observations206
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory41.6 B

Variable types

Text3
Numeric1
Boolean1

Dataset

Description한국문화예술교육진흥원에서 발간하는 자료 목록에 대한 데이터 입니다. (발간물 제목, 발간연도, 국제표준도서번호 등)
Author한국문화예술교육진흥원
URLhttps://www.data.go.kr/data/3058792/fileData.do

Alerts

공개여부 is highly imbalanced (74.1%)Imbalance
발간물제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:41:46.502119
Analysis finished2023-12-12 22:41:47.061028
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발간물제목
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T07:41:47.346694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length122
Median length53
Mean length34.708738
Min length10

Characters and Unicode

Total characters7150
Distinct characters414
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)100.0%

Sample

1st row2017 50+세대 문화예술교육 활동 증진을 위한 기초 연구
2nd row2017 꿈다락 토요문화학교 지역연계프로그램 유형분석 연구
3rd row2017 연차보고서
4th row2018 세계문화예술교육 주간 결과보고서
5th row2018 꿈의 오케스트라 중기 평가지표 정립연구 - 변화이론 기반 거점 사업평가 프레임워크 개발
ValueCountFrequency (%)
문화예술교육 123
 
8.3%
연구 60
 
4.0%
2021 47
 
3.2%
2022 47
 
3.2%
2018 41
 
2.8%
지원사업 37
 
2.5%
프로그램 33
 
2.2%
2020 32
 
2.2%
개발 29
 
2.0%
및 26
 
1.8%
Other values (489) 1007
67.9%
2023-12-13T07:41:47.891162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1286
 
18.0%
2 377
 
5.3%
0 228
 
3.2%
교 216
 
3.0%
화 208
 
2.9%
문 196
 
2.7%
예 191
 
2.7%
술 189
 
2.6%
육 168
 
2.3%
사 133
 
1.9%
Other values (404) 3958
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4721
66.0%
Space Separator 1286
 
18.0%
Decimal Number 781
 
10.9%
Other Punctuation 79
 
1.1%
Uppercase Letter 68
 
1.0%
Math Symbol 66
 
0.9%
Lowercase Letter 60
 
0.8%
Open Punctuation 36
 
0.5%
Close Punctuation 36
 
0.5%
Dash Punctuation 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 216
 
4.6%
화 208
 
4.4%
문 196
 
4.2%
예 191
 
4.0%
술 189
 
4.0%
육 168
 
3.6%
사 133
 
2.8%
연 108
 
2.3%
구 92
 
1.9%
지 90
 
1.9%
Other values (332) 3130
66.3%
Lowercase Letter
ValueCountFrequency (%)
n 8
13.3%
o 7
11.7%
u 7
11.7%
a 6
10.0%
r 6
10.0%
d 5
8.3%
e 4
 
6.7%
b 3
 
5.0%
p 2
 
3.3%
l 2
 
3.3%
Other values (9) 10
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 11
16.2%
D 10
14.7%
O 9
13.2%
L 6
8.8%
W 4
 
5.9%
R 4
 
5.9%
T 3
 
4.4%
F 3
 
4.4%
N 3
 
4.4%
G 2
 
2.9%
Other values (8) 13
19.1%
Decimal Number
ValueCountFrequency (%)
2 377
48.3%
0 228
29.2%
1 103
 
13.2%
8 42
 
5.4%
3 10
 
1.3%
4 6
 
0.8%
5 6
 
0.8%
7 4
 
0.5%
9 3
 
0.4%
6 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
' 44
55.7%
, 15
 
19.0%
· 7
 
8.9%
: 3
 
3.8%
. 3
 
3.8%
? 2
 
2.5%
" 2
 
2.5%
& 2
 
2.5%
/ 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 31
86.1%
「 2
 
5.6%
《 1
 
2.8%
[ 1
 
2.8%
『 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 31
86.1%
」 2
 
5.6%
》 1
 
2.8%
] 1
 
2.8%
』 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
< 30
45.5%
> 30
45.5%
+ 5
 
7.6%
÷ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
1286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4720
66.0%
Common 2301
32.2%
Latin 128
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 216
 
4.6%
화 208
 
4.4%
문 196
 
4.2%
예 191
 
4.0%
술 189
 
4.0%
육 168
 
3.6%
사 133
 
2.8%
연 108
 
2.3%
구 92
 
1.9%
지 90
 
1.9%
Other values (331) 3129
66.3%
Latin
ValueCountFrequency (%)
A 11
 
8.6%
D 10
 
7.8%
O 9
 
7.0%
n 8
 
6.2%
o 7
 
5.5%
u 7
 
5.5%
L 6
 
4.7%
a 6
 
4.7%
r 6
 
4.7%
d 5
 
3.9%
Other values (27) 53
41.4%
Common
ValueCountFrequency (%)
1286
55.9%
2 377
 
16.4%
0 228
 
9.9%
1 103
 
4.5%
' 44
 
1.9%
8 42
 
1.8%
( 31
 
1.3%
) 31
 
1.3%
< 30
 
1.3%
> 30
 
1.3%
Other values (25) 99
 
4.3%
Han
ValueCountFrequency (%)
契 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4718
66.0%
ASCII 2413
33.7%
None 16
 
0.2%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1286
53.3%
2 377
 
15.6%
0 228
 
9.4%
1 103
 
4.3%
' 44
 
1.8%
8 42
 
1.7%
( 31
 
1.3%
) 31
 
1.3%
< 30
 
1.2%
> 30
 
1.2%
Other values (54) 211
 
8.7%
Hangul
ValueCountFrequency (%)
교 216
 
4.6%
화 208
 
4.4%
문 196
 
4.2%
예 191
 
4.0%
술 189
 
4.0%
육 168
 
3.6%
사 133
 
2.8%
연 108
 
2.3%
구 92
 
1.9%
지 90
 
1.9%
Other values (329) 3127
66.3%
None
ValueCountFrequency (%)
· 7
43.8%
「 2
 
12.5%
」 2
 
12.5%
》 1
 
6.2%
《 1
 
6.2%
』 1
 
6.2%
『 1
 
6.2%
÷ 1
 
6.2%
CJK
ValueCountFrequency (%)
契 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
50.0%
ㆍ 1
50.0%

고유번호
Text

Distinct204
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T07:41:48.154746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length15.053398
Min length15

Characters and Unicode

Total characters3101
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)98.1%

Sample

1st rowKACES-1740-R014
2nd rowKACES-1760-R005
3rd rowKACES-1890-R001
4th rowKACES-1851-C002
5th rowKACES-1880-R001
ValueCountFrequency (%)
kaces-2222-c007 2
 
1.0%
kaces-2140-r008 2
 
1.0%
kaces-2221-r001 1
 
0.5%
kaces-2251-c007 1
 
0.5%
kaces-2240-c020 1
 
0.5%
kaces-2222-c005 1
 
0.5%
kaces-1740-r014 1
 
0.5%
kaces-2190-r005 1
 
0.5%
kaces-2140-r009 1
 
0.5%
kaces-2151-r003 1
 
0.5%
Other values (194) 194
94.2%
2023-12-13T07:41:48.573312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 556
17.9%
- 412
13.3%
2 332
10.7%
C 307
9.9%
1 248
8.0%
A 206
 
6.6%
K 206
 
6.6%
S 206
 
6.6%
E 206
 
6.6%
R 105
 
3.4%
Other values (8) 317
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1442
46.5%
Uppercase Letter 1236
39.9%
Dash Punctuation 412
 
13.3%
Space Separator 11
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 556
38.6%
2 332
23.0%
1 248
17.2%
4 76
 
5.3%
3 57
 
4.0%
8 51
 
3.5%
5 39
 
2.7%
6 33
 
2.3%
9 32
 
2.2%
7 18
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 307
24.8%
A 206
16.7%
K 206
16.7%
S 206
16.7%
E 206
16.7%
R 105
 
8.5%
Dash Punctuation
ValueCountFrequency (%)
- 412
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1865
60.1%
Latin 1236
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 556
29.8%
- 412
22.1%
2 332
17.8%
1 248
13.3%
4 76
 
4.1%
3 57
 
3.1%
8 51
 
2.7%
5 39
 
2.1%
6 33
 
1.8%
9 32
 
1.7%
Other values (2) 29
 
1.6%
Latin
ValueCountFrequency (%)
C 307
24.8%
A 206
16.7%
K 206
16.7%
S 206
16.7%
E 206
16.7%
R 105
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 556
17.9%
- 412
13.3%
2 332
10.7%
C 307
9.9%
1 248
8.0%
A 206
 
6.6%
K 206
 
6.6%
S 206
 
6.6%
E 206
 
6.6%
R 105
 
3.4%
Other values (8) 317
10.2%

국제표준도서번호
Text

Distinct205
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T07:41:48.905709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length24.004854
Min length24

Characters and Unicode

Total characters4945
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)99.0%

Sample

1st row978-89-6748-256-5(93370)
2nd row978-89-6748-257-2(93370)
3rd row978-89-6748-258-9(03370)
4th row978-89-6748-260-2(03370)
5th row978-89-6748-261-9(93370)
ValueCountFrequency (%)
978-89-6748-510-8(93370 2
 
1.0%
978-89-6748-444-6(93370 1
 
0.5%
978-89-6748-451-4(93370 1
 
0.5%
978-89-6748-442-2(93370 1
 
0.5%
978-89-6748-408-8(93370 1
 
0.5%
978-89-6748-441-5(93370 1
 
0.5%
978-89-6748-435-4(93370 1
 
0.5%
978-89-6748-436-1(93370 1
 
0.5%
978-89-6748-437-8(93370 1
 
0.5%
978-89-6748-438-5(93370 1
 
0.5%
Other values (195) 195
94.7%
2023-12-13T07:41:49.348524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 824
16.7%
8 689
13.9%
9 673
13.6%
7 668
13.5%
3 495
10.0%
4 353
7.1%
0 304
 
6.1%
6 297
 
6.0%
( 206
 
4.2%
) 206
 
4.2%
Other values (4) 230
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3708
75.0%
Dash Punctuation 824
 
16.7%
Open Punctuation 206
 
4.2%
Close Punctuation 206
 
4.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 689
18.6%
9 673
18.1%
7 668
18.0%
3 495
13.3%
4 353
9.5%
0 304
8.2%
6 297
8.0%
2 93
 
2.5%
5 80
 
2.2%
1 56
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 206
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4945
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 824
16.7%
8 689
13.9%
9 673
13.6%
7 668
13.5%
3 495
10.0%
4 353
7.1%
0 304
 
6.1%
6 297
 
6.0%
( 206
 
4.2%
) 206
 
4.2%
Other values (4) 230
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 824
16.7%
8 689
13.9%
9 673
13.6%
7 668
13.5%
3 495
10.0%
4 353
7.1%
0 304
 
6.1%
6 297
 
6.0%
( 206
 
4.2%
) 206
 
4.2%
Other values (4) 230
 
4.7%

발간연도
Real number (ℝ)

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.6019
Minimum2018
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T07:41:49.518426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile2018
Q12020
median2021
Q32022
95-th percentile2023
Maximum2023
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6220421
Coefficient of variation (CV)0.00080275193
Kurtosis-1.0026023
Mean2020.6019
Median Absolute Deviation (MAD)1
Skewness-0.54817012
Sum416244
Variance2.6310206
MonotonicityNot monotonic
2023-12-13T07:41:49.632706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 64
31.1%
2021 53
25.7%
2018 46
22.3%
2020 26
12.6%
2023 13
 
6.3%
2019 4
 
1.9%
ValueCountFrequency (%)
2018 46
22.3%
2019 4
 
1.9%
2020 26
12.6%
2021 53
25.7%
2022 64
31.1%
2023 13
 
6.3%
ValueCountFrequency (%)
2023 13
 
6.3%
2022 64
31.1%
2021 53
25.7%
2020 26
12.6%
2019 4
 
1.9%
2018 46
22.3%

공개여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size338.0 B
True
197 
False
 
9
ValueCountFrequency (%)
True 197
95.6%
False 9
 
4.4%
2023-12-13T07:41:49.742611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T07:41:46.786781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:41:49.804229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발간연도공개여부
발간연도1.0000.111
공개여부0.1111.000
2023-12-13T07:41:49.889093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발간연도공개여부
발간연도1.0000.088
공개여부0.0881.000

Missing values

2023-12-13T07:41:46.906983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:41:47.017977image/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

발간물제목고유번호국제표준도서번호발간연도공개여부
02017 50+세대 문화예술교육 활동 증진을 위한 기초 연구KACES-1740-R014978-89-6748-256-5(93370)2018Y
12017 꿈다락 토요문화학교 지역연계프로그램 유형분석 연구KACES-1760-R005978-89-6748-257-2(93370)2018Y
22017 연차보고서KACES-1890-R001978-89-6748-258-9(03370)2018Y
32018 세계문화예술교육 주간 결과보고서KACES-1851-C002978-89-6748-260-2(03370)2018Y
42018 꿈의 오케스트라 중기 평가지표 정립연구 - 변화이론 기반 거점 사업평가 프레임워크 개발KACES-1880-R001978-89-6748-261-9(93370)2018Y
52018 문화예술교육사 자격활용 실태조사KACES-1832-R001978-89-6748-262-6(93370)2018Y
6문화예술교육 전문 연수원 설립 및 운영 기본구상 연구KACES-1831-R001978-89-6748-263-3(93370)2018N
72018 아르떼 아카데미 연수 성과집KACES-1831-C084978-89-6748-264-0(93370)2018Y
82018 꿈다락 토요문화학교 어린이는 무엇을 믿는가 통합결과전시회 전시도록KACES-1860-C001978-89-6748-265-7(93370)2018Y
92018 꿈다락 토요문화학교 어린이는 무엇을 믿는가 결과자료집KACES-1860-C002978-89-6748-266-4(93370)2018Y
발간물제목고유번호국제표준도서번호발간연도공개여부
196예술로 링크(Link)를 위한 성과 맵핑(Outcome Mapping) 101KACES-2370-C001978-89-6748-504-7(93370)2023Y
1972022 주제중심 학교 문화예술교육 지원사업 '예술로 탐구생활' 만족도 조사 결과 보고서KACES-2370-R001978-89-6748-506-1(93370)2023Y
198학교문화예술교육 평가체계 구축 및 시범운영 연구KACES-2211-R001978-89-6748-507-8(93370)2023Y
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