Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory42.2 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description농림식품기술기획평가원에서 자체적으로 농림식품R&D에 대하여 내부전문가 및 외부전문(기관)가에 의뢰하여 완결된 국내동향자료 공개
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15034748/fileData.do

Alerts

구분 has constant value ""Constant
번호 has unique valuesUnique
화일명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:03:43.081442
Analysis finished2023-12-12 07:03:43.570685
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:03:43.745790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.85
Min length7

Characters and Unicode

Total characters471
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st rowG2022-1
2nd rowG2022-2
3rd rowG2022-3
4th rowG2022-4
5th rowG2022-5
ValueCountFrequency (%)
g2022-1 1
 
1.7%
g2022-2 1
 
1.7%
g2022-45 1
 
1.7%
g2022-33 1
 
1.7%
g2022-34 1
 
1.7%
g2022-35 1
 
1.7%
g2022-36 1
 
1.7%
g2022-37 1
 
1.7%
g2022-38 1
 
1.7%
g2022-39 1
 
1.7%
Other values (50) 50
83.3%
2023-12-12T16:03:44.113000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 196
41.6%
0 66
 
14.0%
G 60
 
12.7%
- 60
 
12.7%
1 16
 
3.4%
5 16
 
3.4%
3 16
 
3.4%
4 16
 
3.4%
6 7
 
1.5%
7 6
 
1.3%
Other values (2) 12
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 351
74.5%
Uppercase Letter 60
 
12.7%
Dash Punctuation 60
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 196
55.8%
0 66
 
18.8%
1 16
 
4.6%
5 16
 
4.6%
3 16
 
4.6%
4 16
 
4.6%
6 7
 
2.0%
7 6
 
1.7%
8 6
 
1.7%
9 6
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
G 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 411
87.3%
Latin 60
 
12.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 196
47.7%
0 66
 
16.1%
- 60
 
14.6%
1 16
 
3.9%
5 16
 
3.9%
3 16
 
3.9%
4 16
 
3.9%
6 7
 
1.7%
7 6
 
1.5%
8 6
 
1.5%
Latin
ValueCountFrequency (%)
G 60
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 196
41.6%
0 66
 
14.0%
G 60
 
12.7%
- 60
 
12.7%
1 16
 
3.4%
5 16
 
3.4%
3 16
 
3.4%
4 16
 
3.4%
6 7
 
1.5%
7 6
 
1.3%
Other values (2) 12
 
2.5%

제목
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:03:44.387810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35.5
Mean length26.833333
Min length13

Characters and Unicode

Total characters1610
Distinct characters259
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)95.0%

Sample

1st row농어촌특별세 관련 최근 이슈현황
2nd row2020년 상반기 R&D 이슈보고서 모음집
3rd row동물실험을 줄이는 미니장기, 오가노이드
4th row지능형 농업용 로봇 동향 및 연구개발 기회요소
5th row2020년 양파·마늘 수급안정 대책 관련 이슈 현황
ValueCountFrequency (%)
동향보고서 27
 
7.8%
및 27
 
7.8%
시사점 17
 
4.9%
동향 11
 
3.2%
현황 11
 
3.2%
r&d 11
 
3.2%
식품r&d중점투자분야 9
 
2.6%
식품r&d 6
 
1.7%
기술 5
 
1.4%
분야 4
 
1.2%
Other values (167) 219
63.1%
2023-12-12T16:03:44.821226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
17.8%
동 42
 
2.6%
향 40
 
2.5%
식 38
 
2.4%
품 34
 
2.1%
보 34
 
2.1%
2 34
 
2.1%
고 34
 
2.1%
서 32
 
2.0%
점 28
 
1.7%
Other values (249) 1007
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
67.5%
Space Separator 287
 
17.8%
Uppercase Letter 69
 
4.3%
Decimal Number 65
 
4.0%
Other Punctuation 35
 
2.2%
Open Punctuation 25
 
1.6%
Close Punctuation 25
 
1.6%
Lowercase Letter 15
 
0.9%
Initial Punctuation 1
 
0.1%
Final Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
3.9%
향 40
 
3.7%
식 38
 
3.5%
품 34
 
3.1%
보 34
 
3.1%
고 34
 
3.1%
서 32
 
2.9%
점 28
 
2.6%
및 27
 
2.5%
분 24
 
2.2%
Other values (207) 754
69.4%
Uppercase Letter
ValueCountFrequency (%)
D 27
39.1%
R 27
39.1%
M 3
 
4.3%
U 2
 
2.9%
P 2
 
2.9%
A 1
 
1.4%
O 1
 
1.4%
B 1
 
1.4%
F 1
 
1.4%
E 1
 
1.4%
Other values (3) 3
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
20.0%
r 2
13.3%
m 2
13.3%
i 2
13.3%
f 1
 
6.7%
g 1
 
6.7%
n 1
 
6.7%
e 1
 
6.7%
s 1
 
6.7%
l 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 34
52.3%
0 20
30.8%
1 6
 
9.2%
3 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%
4 1
 
1.5%
9 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 27
77.1%
· 4
 
11.4%
' 2
 
5.7%
, 2
 
5.7%
Open Punctuation
ValueCountFrequency (%)
[ 16
64.0%
( 9
36.0%
Close Punctuation
ValueCountFrequency (%)
] 16
64.0%
) 9
36.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
67.5%
Common 439
27.3%
Latin 84
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
3.9%
향 40
 
3.7%
식 38
 
3.5%
품 34
 
3.1%
보 34
 
3.1%
고 34
 
3.1%
서 32
 
2.9%
점 28
 
2.6%
및 27
 
2.5%
분 24
 
2.2%
Other values (207) 754
69.4%
Latin
ValueCountFrequency (%)
D 27
32.1%
R 27
32.1%
a 3
 
3.6%
M 3
 
3.6%
r 2
 
2.4%
m 2
 
2.4%
i 2
 
2.4%
U 2
 
2.4%
P 2
 
2.4%
f 1
 
1.2%
Other values (13) 13
15.5%
Common
ValueCountFrequency (%)
287
65.4%
2 34
 
7.7%
& 27
 
6.2%
0 20
 
4.6%
[ 16
 
3.6%
] 16
 
3.6%
( 9
 
2.1%
) 9
 
2.1%
1 6
 
1.4%
· 4
 
0.9%
Other values (9) 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
67.5%
ASCII 517
32.1%
None 4
 
0.2%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
55.5%
2 34
 
6.6%
D 27
 
5.2%
& 27
 
5.2%
R 27
 
5.2%
0 20
 
3.9%
[ 16
 
3.1%
] 16
 
3.1%
( 9
 
1.7%
) 9
 
1.7%
Other values (29) 45
 
8.7%
Hangul
ValueCountFrequency (%)
동 42
 
3.9%
향 40
 
3.7%
식 38
 
3.5%
품 34
 
3.1%
보 34
 
3.1%
고 34
 
3.1%
서 32
 
2.9%
점 28
 
2.6%
및 27
 
2.5%
분 24
 
2.2%
Other values (207) 754
69.4%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
농림식품 R&D 국내동향자료
60 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림식품 R&D 국내동향자료
2nd row농림식품 R&D 국내동향자료
3rd row농림식품 R&D 국내동향자료
4th row농림식품 R&D 국내동향자료
5th row농림식품 R&D 국내동향자료

Common Values

ValueCountFrequency (%)
농림식품 R&D 국내동향자료 60
100.0%

Length

2023-12-12T16:03:44.963138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:03:45.054780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 60
33.3%
r&d 60
33.3%
국내동향자료 60
33.3%

발행일
Date

Distinct48
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2020-07-21 00:00:00
Maximum2022-08-01 00:00:00
2023-12-12T16:03:45.159501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:03:45.301707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

화일명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T16:03:45.596732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length44
Mean length37.133333
Min length19

Characters and Unicode

Total characters2228
Distinct characters275
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row농어촌특별세 관련 최근 이슈현황.pdf
2nd row2020년 상반기 R&D 이슈보고서 모음집.pdf
3rd row20 0810 동물실험을 줄이는 미니장기, 오가노이드.pdf
4th row20 0813 지능형 농업용 로봇 동향 및 연구개발 기회요소.pdf
5th row20 0814_2020년 양파, 마늘 수급안정 대책 관련 이슈현황 및 R&D 시사점.pdf
ValueCountFrequency (%)
및 27
 
6.6%
20 14
 
3.4%
r&d 12
 
2.9%
21 10
 
2.4%
동향 9
 
2.2%
분야 9
 
2.2%
현황 8
 
2.0%
시사점.pdf 8
 
2.0%
식품r&d중점투자분야 8
 
2.0%
1.21 6
 
1.5%
Other values (243) 298
72.9%
2023-12-12T16:03:46.154184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
 
15.7%
2 97
 
4.4%
0 75
 
3.4%
1 74
 
3.3%
. 73
 
3.3%
f 61
 
2.7%
d 60
 
2.7%
p 60
 
2.7%
식 37
 
1.7%
품 33
 
1.5%
Other values (265) 1309
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
49.8%
Space Separator 349
 
15.7%
Decimal Number 298
 
13.4%
Lowercase Letter 184
 
8.3%
Other Punctuation 106
 
4.8%
Uppercase Letter 78
 
3.5%
Close Punctuation 36
 
1.6%
Open Punctuation 36
 
1.6%
Connector Punctuation 19
 
0.9%
Dash Punctuation 8
 
0.4%
Other values (2) 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 37
 
3.3%
품 33
 
3.0%
고 32
 
2.9%
시 32
 
2.9%
분 29
 
2.6%
보 29
 
2.6%
동 27
 
2.4%
점 27
 
2.4%
및 27
 
2.4%
야 26
 
2.3%
Other values (221) 811
73.1%
Uppercase Letter
ValueCountFrequency (%)
R 29
37.2%
D 26
33.3%
M 3
 
3.8%
A 3
 
3.8%
O 3
 
3.8%
S 2
 
2.6%
B 2
 
2.6%
C 2
 
2.6%
T 2
 
2.6%
K 2
 
2.6%
Other values (4) 4
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 97
32.6%
0 75
25.2%
1 74
24.8%
9 11
 
3.7%
3 9
 
3.0%
8 9
 
3.0%
6 8
 
2.7%
7 5
 
1.7%
4 5
 
1.7%
5 5
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
f 61
33.2%
d 60
32.6%
p 60
32.6%
r 1
 
0.5%
e 1
 
0.5%
i 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 73
68.9%
& 25
 
23.6%
, 4
 
3.8%
· 3
 
2.8%
! 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 32
88.9%
] 4
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 32
88.9%
[ 4
 
11.1%
Space Separator
ValueCountFrequency (%)
349
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
49.8%
Common 856
38.4%
Latin 262
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 37
 
3.3%
품 33
 
3.0%
고 32
 
2.9%
시 32
 
2.9%
분 29
 
2.6%
보 29
 
2.6%
동 27
 
2.4%
점 27
 
2.4%
및 27
 
2.4%
야 26
 
2.3%
Other values (221) 811
73.1%
Common
ValueCountFrequency (%)
349
40.8%
2 97
 
11.3%
0 75
 
8.8%
1 74
 
8.6%
. 73
 
8.5%
) 32
 
3.7%
( 32
 
3.7%
& 25
 
2.9%
_ 19
 
2.2%
9 11
 
1.3%
Other values (14) 69
 
8.1%
Latin
ValueCountFrequency (%)
f 61
23.3%
d 60
22.9%
p 60
22.9%
R 29
11.1%
D 26
9.9%
M 3
 
1.1%
A 3
 
1.1%
O 3
 
1.1%
S 2
 
0.8%
B 2
 
0.8%
Other values (10) 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1111
49.9%
Hangul 1110
49.8%
Punctuation 4
 
0.2%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
31.4%
2 97
 
8.7%
0 75
 
6.8%
1 74
 
6.7%
. 73
 
6.6%
f 61
 
5.5%
d 60
 
5.4%
p 60
 
5.4%
) 32
 
2.9%
( 32
 
2.9%
Other values (31) 198
17.8%
Hangul
ValueCountFrequency (%)
식 37
 
3.3%
품 33
 
3.0%
고 32
 
2.9%
시 32
 
2.9%
분 29
 
2.6%
보 29
 
2.6%
동 27
 
2.4%
점 27
 
2.4%
및 27
 
2.4%
야 26
 
2.3%
Other values (221) 811
73.1%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%

Correlations

2023-12-12T16:03:46.293183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호제목발행일화일명
번호1.0001.0001.0001.000
제목1.0001.0001.0001.000
발행일1.0001.0001.0001.000
화일명1.0001.0001.0001.000

Missing values

2023-12-12T16:03:43.454307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:03:43.540183image/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

번호제목구분발행일화일명
0G2022-1농어촌특별세 관련 최근 이슈현황농림식품 R&D 국내동향자료2020-07-21농어촌특별세 관련 최근 이슈현황.pdf
1G2022-22020년 상반기 R&D 이슈보고서 모음집농림식품 R&D 국내동향자료2020-08-062020년 상반기 R&D 이슈보고서 모음집.pdf
2G2022-3동물실험을 줄이는 미니장기, 오가노이드농림식품 R&D 국내동향자료2020-08-1320 0810 동물실험을 줄이는 미니장기, 오가노이드.pdf
3G2022-4지능형 농업용 로봇 동향 및 연구개발 기회요소농림식품 R&D 국내동향자료2020-08-1320 0813 지능형 농업용 로봇 동향 및 연구개발 기회요소.pdf
4G2022-52020년 양파·마늘 수급안정 대책 관련 이슈 현황농림식품 R&D 국내동향자료2020-08-1420 0814_2020년 양파, 마늘 수급안정 대책 관련 이슈현황 및 R&D 시사점.pdf
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