Overview

Dataset statistics

Number of variables4
Number of observations194
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory33.7 B

Variable types

Categorical1
Text3

Dataset

Description농림식품기술기획평가원_농림수산식품 문화 R&D 논문 정보(2015년 12월) 농림수산식품 문화 R&D 논문정보의 논문 관련 정보 발표년도, 논문명, 저자, 게재지명 등 항목 포함
URLhttps://www.data.go.kr/data/15053211/fileData.do

Reproduction

Analysis started2023-12-12 23:24:04.786806
Analysis finished2023-12-12 23:24:05.943553
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발표년도
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2011
85 
2012
78 
2010
21 
2009
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012
2nd row2012
3rd row2012
4th row2012
5th row2012

Common Values

ValueCountFrequency (%)
2011 85
43.8%
2012 78
40.2%
2010 21
 
10.8%
2009 10
 
5.2%

Length

2023-12-13T08:24:06.023152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:06.128681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011 85
43.8%
2012 78
40.2%
2010 21
 
10.8%
2009 10
 
5.2%

논문명
Text

Distinct192
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:24:06.442218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length217
Median length106
Mean length42.520619
Min length8

Characters and Unicode

Total characters8249
Distinct characters439
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)97.9%

Sample

1st row상자텃밭 활용 수업이 초등학생들의 과학흥미도, 사회성 및 학업성취도에 미치는 영향
2nd row델파이방법을 이용한 저탄소 농촌마을 계획기술에 관한 연구
3rd row생활시간 분석을 통한 고령 농가의 정주환경 연구
4th row다문화 통합교육의 내용체계 구성에 대한 기초 연구
5th row유휴시설활용활성화방안
ValueCountFrequency (%)
및 43
 
2.7%
연구 42
 
2.6%
of 26
 
1.6%
위한 23
 
1.4%
in 22
 
1.4%
분석 22
 
1.4%
관한 19
 
1.2%
미치는 18
 
1.1%
and 17
 
1.1%
15
 
0.9%
Other values (997) 1366
84.7%
2023-12-13T08:24:06.936648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1419
 
17.2%
a 208
 
2.5%
i 202
 
2.4%
e 197
 
2.4%
o 174
 
2.1%
t 150
 
1.8%
의 146
 
1.8%
n 144
 
1.7%
r 137
 
1.7%
s 118
 
1.4%
Other values (429) 5354
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4118
49.9%
Lowercase Letter 2009
24.4%
Space Separator 1419
 
17.2%
Uppercase Letter 548
 
6.6%
Other Punctuation 56
 
0.7%
Dash Punctuation 46
 
0.6%
Decimal Number 24
 
0.3%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Connector Punctuation 5
 
0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 146
 
3.5%
한 89
 
2.2%
농 84
 
2.0%
성 82
 
2.0%
관 81
 
2.0%
을 81
 
2.0%
에 75
 
1.8%
지 73
 
1.8%
구 72
 
1.7%
연 59
 
1.4%
Other values (353) 3276
79.6%
Lowercase Letter
ValueCountFrequency (%)
a 208
10.4%
i 202
10.1%
e 197
9.8%
o 174
 
8.7%
t 150
 
7.5%
n 144
 
7.2%
r 137
 
6.8%
s 118
 
5.9%
l 107
 
5.3%
c 95
 
4.7%
Other values (16) 477
23.7%
Uppercase Letter
ValueCountFrequency (%)
E 54
 
9.9%
A 47
 
8.6%
N 41
 
7.5%
I 40
 
7.3%
T 37
 
6.8%
R 36
 
6.6%
O 35
 
6.4%
S 33
 
6.0%
P 31
 
5.7%
C 30
 
5.5%
Other values (14) 164
29.9%
Decimal Number
ValueCountFrequency (%)
2 5
20.8%
1 5
20.8%
0 4
16.7%
4 3
12.5%
9 2
 
8.3%
6 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%
3 1
 
4.2%
7 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 29
51.8%
: 15
26.8%
. 7
 
12.5%
' 3
 
5.4%
/ 1
 
1.8%
· 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 8
80.0%
」 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 8
80.0%
「 2
 
20.0%
Space Separator
ValueCountFrequency (%)
1419
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Number
ValueCountFrequency (%)
₂ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4115
49.9%
Latin 2557
31.0%
Common 1574
 
19.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 146
 
3.5%
한 89
 
2.2%
농 84
 
2.0%
성 82
 
2.0%
관 81
 
2.0%
을 81
 
2.0%
에 75
 
1.8%
지 73
 
1.8%
구 72
 
1.7%
연 59
 
1.4%
Other values (350) 3273
79.5%
Latin
ValueCountFrequency (%)
a 208
 
8.1%
i 202
 
7.9%
e 197
 
7.7%
o 174
 
6.8%
t 150
 
5.9%
n 144
 
5.6%
r 137
 
5.4%
s 118
 
4.6%
l 107
 
4.2%
c 95
 
3.7%
Other values (40) 1025
40.1%
Common
ValueCountFrequency (%)
1419
90.2%
- 46
 
2.9%
, 29
 
1.8%
: 15
 
1.0%
) 8
 
0.5%
( 8
 
0.5%
. 7
 
0.4%
_ 5
 
0.3%
2 5
 
0.3%
1 5
 
0.3%
Other values (16) 27
 
1.7%
Han
ValueCountFrequency (%)
堂 1
33.3%
調 1
33.3%
時 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4122
50.0%
Hangul 4113
49.9%
None 7
 
0.1%
CJK 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1419
34.4%
a 208
 
5.0%
i 202
 
4.9%
e 197
 
4.8%
o 174
 
4.2%
t 150
 
3.6%
n 144
 
3.5%
r 137
 
3.3%
s 118
 
2.9%
l 107
 
2.6%
Other values (60) 1266
30.7%
Hangul
ValueCountFrequency (%)
의 146
 
3.5%
한 89
 
2.2%
농 84
 
2.0%
성 82
 
2.0%
관 81
 
2.0%
을 81
 
2.0%
에 75
 
1.8%
지 73
 
1.8%
구 72
 
1.8%
연 59
 
1.4%
Other values (349) 3271
79.5%
None
ValueCountFrequency (%)
₂ 2
28.6%
」 2
28.6%
「 2
28.6%
· 1
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
堂 1
33.3%
調 1
33.3%
時 1
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

저자
Text

Distinct96
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:24:07.219869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.8659794
Min length2

Characters and Unicode

Total characters750
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)25.3%

Sample

1st row문지혜
2nd row김은자
3rd row이윤희
4th row변순용
5th row서윤정
ValueCountFrequency (%)
최재웅 8
 
3.8%
손호기 7
 
3.3%
강방훈 6
 
2.8%
박덕병 6
 
2.8%
손진관 6
 
2.8%
강영은 6
 
2.8%
김경희 5
 
2.4%
김상범 5
 
2.4%
양순미 5
 
2.4%
최자운 5
 
2.4%
Other values (97) 152
72.0%
2023-12-13T08:24:07.607910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
4.0%
진 25
 
3.3%
최 22
 
2.9%
이 21
 
2.8%
a 20
 
2.7%
n 19
 
2.5%
17
 
2.3%
e 16
 
2.1%
손 15
 
2.0%
강 15
 
2.0%
Other values (126) 550
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
71.6%
Lowercase Letter 125
 
16.7%
Uppercase Letter 48
 
6.4%
Other Punctuation 19
 
2.5%
Space Separator 17
 
2.3%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
5.6%
진 25
 
4.7%
최 22
 
4.1%
이 21
 
3.9%
손 15
 
2.8%
강 15
 
2.8%
영 14
 
2.6%
정 13
 
2.4%
순 12
 
2.2%
은 12
 
2.2%
Other values (88) 358
66.7%
Lowercase Letter
ValueCountFrequency (%)
a 20
16.0%
n 19
15.2%
e 16
12.8%
o 11
8.8%
r 9
7.2%
g 8
 
6.4%
h 7
 
5.6%
i 6
 
4.8%
u 6
 
4.8%
k 5
 
4.0%
Other values (7) 18
14.4%
Uppercase Letter
ValueCountFrequency (%)
S 9
18.8%
L 5
10.4%
C 5
10.4%
Y 4
8.3%
K 4
8.3%
P 3
 
6.2%
G 3
 
6.2%
H 2
 
4.2%
J 2
 
4.2%
N 2
 
4.2%
Other values (6) 9
18.8%
Other Punctuation
ValueCountFrequency (%)
, 11
57.9%
. 7
36.8%
; 1
 
5.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
71.6%
Latin 173
 
23.1%
Common 40
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
5.6%
진 25
 
4.7%
최 22
 
4.1%
이 21
 
3.9%
손 15
 
2.8%
강 15
 
2.8%
영 14
 
2.6%
정 13
 
2.4%
순 12
 
2.2%
은 12
 
2.2%
Other values (88) 358
66.7%
Latin
ValueCountFrequency (%)
a 20
 
11.6%
n 19
 
11.0%
e 16
 
9.2%
o 11
 
6.4%
r 9
 
5.2%
S 9
 
5.2%
g 8
 
4.6%
h 7
 
4.0%
i 6
 
3.5%
u 6
 
3.5%
Other values (23) 62
35.8%
Common
ValueCountFrequency (%)
17
42.5%
, 11
27.5%
. 7
17.5%
- 4
 
10.0%
; 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
71.6%
ASCII 213
 
28.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
5.6%
진 25
 
4.7%
최 22
 
4.1%
이 21
 
3.9%
손 15
 
2.8%
강 15
 
2.8%
영 14
 
2.6%
정 13
 
2.4%
순 12
 
2.2%
은 12
 
2.2%
Other values (88) 358
66.7%
ASCII
ValueCountFrequency (%)
a 20
 
9.4%
n 19
 
8.9%
17
 
8.0%
e 16
 
7.5%
, 11
 
5.2%
o 11
 
5.2%
r 9
 
4.2%
S 9
 
4.2%
g 8
 
3.8%
. 7
 
3.3%
Other values (28) 86
40.4%

게재지명
Text

Distinct83
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T08:24:07.860659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length45
Mean length10.752577
Min length3

Characters and Unicode

Total characters2086
Distinct characters162
Distinct categories8 ?
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 (%)26.3%

Sample

1st row한국인간식물환경학회지
2nd row농촌계획
3rd row농촌계획
4th row국민윤리연구
5th row농촌관광연구
ValueCountFrequency (%)
농촌계획 22
 
7.6%
개발 18
 
6.2%
농촌지도와 18
 
6.2%
한국인간식물환경학회지 15
 
5.2%
of 10
 
3.4%
journal 9
 
3.1%
한국환경복원녹화기술학회지 8
 
2.7%
화훼연구 7
 
2.4%
한국전통조경학회지 7
 
2.4%
and 6
 
2.1%
Other values (109) 171
58.8%
2023-12-13T08:24:08.216236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 102
 
4.9%
97
 
4.7%
학 97
 
4.7%
회 89
 
4.3%
한 87
 
4.2%
국 86
 
4.1%
농 64
 
3.1%
촌 54
 
2.6%
경 49
 
2.3%
연 41
 
2.0%
Other values (152) 1320
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1311
62.8%
Uppercase Letter 371
 
17.8%
Lowercase Letter 290
 
13.9%
Space Separator 97
 
4.7%
Other Punctuation 6
 
0.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 102
 
7.8%
학 97
 
7.4%
회 89
 
6.8%
한 87
 
6.6%
국 86
 
6.6%
농 64
 
4.9%
촌 54
 
4.1%
경 49
 
3.7%
연 41
 
3.1%
구 40
 
3.1%
Other values (101) 602
45.9%
Uppercase Letter
ValueCountFrequency (%)
N 38
10.2%
O 37
10.0%
A 35
9.4%
E 34
 
9.2%
I 30
 
8.1%
T 28
 
7.5%
R 26
 
7.0%
L 22
 
5.9%
C 20
 
5.4%
S 16
 
4.3%
Other values (13) 85
22.9%
Lowercase Letter
ValueCountFrequency (%)
o 34
11.7%
n 33
11.4%
a 27
9.3%
r 25
8.6%
i 23
7.9%
l 22
 
7.6%
e 22
 
7.6%
u 18
 
6.2%
c 17
 
5.9%
t 14
 
4.8%
Other values (11) 55
19.0%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
& 2
33.3%
· 1
 
16.7%
Space Separator
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1311
62.8%
Latin 661
31.7%
Common 114
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 102
 
7.8%
학 97
 
7.4%
회 89
 
6.8%
한 87
 
6.6%
국 86
 
6.6%
농 64
 
4.9%
촌 54
 
4.1%
경 49
 
3.7%
연 41
 
3.1%
구 40
 
3.1%
Other values (101) 602
45.9%
Latin
ValueCountFrequency (%)
N 38
 
5.7%
O 37
 
5.6%
A 35
 
5.3%
o 34
 
5.1%
E 34
 
5.1%
n 33
 
5.0%
I 30
 
4.5%
T 28
 
4.2%
a 27
 
4.1%
R 26
 
3.9%
Other values (34) 339
51.3%
Common
ValueCountFrequency (%)
97
85.1%
) 4
 
3.5%
( 4
 
3.5%
. 3
 
2.6%
- 3
 
2.6%
& 2
 
1.8%
· 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1311
62.8%
ASCII 774
37.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 102
 
7.8%
학 97
 
7.4%
회 89
 
6.8%
한 87
 
6.6%
국 86
 
6.6%
농 64
 
4.9%
촌 54
 
4.1%
경 49
 
3.7%
연 41
 
3.1%
구 40
 
3.1%
Other values (101) 602
45.9%
ASCII
ValueCountFrequency (%)
97
 
12.5%
N 38
 
4.9%
O 37
 
4.8%
A 35
 
4.5%
o 34
 
4.4%
E 34
 
4.4%
n 33
 
4.3%
I 30
 
3.9%
T 28
 
3.6%
a 27
 
3.5%
Other values (40) 381
49.2%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2023-12-13T08:24:08.293048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발표년도저자게재지명
발표년도1.0000.8100.839
저자0.8101.0000.987
게재지명0.8390.9871.000

Missing values

2023-12-13T08:24:05.836521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:24:05.908254image/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

발표년도논문명저자게재지명
02012상자텃밭 활용 수업이 초등학생들의 과학흥미도, 사회성 및 학업성취도에 미치는 영향문지혜한국인간식물환경학회지
12012델파이방법을 이용한 저탄소 농촌마을 계획기술에 관한 연구김은자농촌계획
22012생활시간 분석을 통한 고령 농가의 정주환경 연구이윤희농촌계획
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