Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Text2
DateTime1
Categorical1

Dataset

Description농림식품기술기획평가원에서 자체적으로 농림식품R&D에 대하여 내부전문가 및 외부전문(기관)가에 의뢰하여 완결된 정책자료 공개
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001367

Alerts

구분 has constant value ""Constant
번호 has unique valuesUnique
자료명 has unique valuesUnique
첨부파일 명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:47:12.126262
Analysis finished2023-12-11 03:47:12.672775
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T12:47:12.747463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-11T12:47:12.891511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

자료명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T12:47:13.107676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length26.75
Min length16

Characters and Unicode

Total characters642
Distinct characters98
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row제2차 농림식품과학기술육성 종합계획(2015~2019) 2018년 시행계획
2nd row제2차 농림식품과학기술육성 종합계획(2015~2019) 2017년 시행계획
3rd row2016 농림식품 기술수준평가
4th row2040 농림식품 미래기술예측 보고
5th row2014년 농림식품 기술수준평가 보고서
ValueCountFrequency (%)
단위사업평가 8
 
8.3%
육성 8
 
8.3%
종합계획 7
 
7.3%
농림수산식품 5
 
5.2%
과학기술 5
 
5.2%
시행계획 5
 
5.2%
분야 3
 
3.1%
기술분야평가 3
 
3.1%
농림식품 3
 
3.1%
농림식품과학기술육성 2
 
2.1%
Other values (41) 47
49.0%
2023-12-11T12:47:13.486380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
11.2%
과 22
 
3.4%
2 21
 
3.3%
기 21
 
3.3%
술 20
 
3.1%
0 19
 
3.0%
업 18
 
2.8%
계 17
 
2.6%
식 17
 
2.6%
1 17
 
2.6%
Other values (88) 398
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
73.2%
Space Separator 72
 
11.2%
Decimal Number 68
 
10.6%
Close Punctuation 14
 
2.2%
Open Punctuation 14
 
2.2%
Math Symbol 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 22
 
4.7%
기 21
 
4.5%
술 20
 
4.3%
업 18
 
3.8%
계 17
 
3.6%
식 17
 
3.6%
품 16
 
3.4%
획 16
 
3.4%
농 15
 
3.2%
림 15
 
3.2%
Other values (71) 293
62.3%
Decimal Number
ValueCountFrequency (%)
2 21
30.9%
0 19
27.9%
1 17
25.0%
5 3
 
4.4%
9 2
 
2.9%
4 2
 
2.9%
3 1
 
1.5%
6 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 13
92.9%
] 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 13
92.9%
[ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
73.2%
Common 172
 
26.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 22
 
4.7%
기 21
 
4.5%
술 20
 
4.3%
업 18
 
3.8%
계 17
 
3.6%
식 17
 
3.6%
품 16
 
3.4%
획 16
 
3.4%
농 15
 
3.2%
림 15
 
3.2%
Other values (71) 293
62.3%
Common
ValueCountFrequency (%)
72
41.9%
2 21
 
12.2%
0 19
 
11.0%
1 17
 
9.9%
) 13
 
7.6%
( 13
 
7.6%
~ 3
 
1.7%
5 3
 
1.7%
9 2
 
1.2%
4 2
 
1.2%
Other values (7) 7
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
73.2%
ASCII 172
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
41.9%
2 21
 
12.2%
0 19
 
11.0%
1 17
 
9.9%
) 13
 
7.6%
( 13
 
7.6%
~ 3
 
1.7%
5 3
 
1.7%
9 2
 
1.2%
4 2
 
1.2%
Other values (7) 7
 
4.1%
Hangul
ValueCountFrequency (%)
과 22
 
4.7%
기 21
 
4.5%
술 20
 
4.3%
업 18
 
3.8%
계 17
 
3.6%
식 17
 
3.6%
품 16
 
3.4%
획 16
 
3.4%
농 15
 
3.2%
림 15
 
3.2%
Other values (71) 293
62.3%

발행일
Date

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2009-12-01 00:00:00
Maximum2018-03-01 00:00:00
2023-12-11T12:47:13.625822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:47:13.771132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
농림R&D정책
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림R&D정책
2nd row농림R&D정책
3rd row농림R&D정책
4th row농림R&D정책
5th row농림R&D정책

Common Values

ValueCountFrequency (%)
농림R&D정책 24
100.0%

Length

2023-12-11T12:47:13.902895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:47:14.003858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림r&d정책 24
100.0%

첨부파일 명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T12:47:14.296640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length29.875
Min length10

Characters and Unicode

Total characters717
Distinct characters109
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row농림식품기술기획평가원-농림식품과학기술 육성 종합계획 2018년도 시행계획(인쇄본)(2).pdf
2nd row제2차 농림식품과학기술 육성 종합계획(2015∼2019) 2017년도 시행계획(인쇄본).pdf
3rd row2016 농림식품 기술수준평가 최종보고서.pdf
4th row2040 농림식품 미래기술예측 보고서.pdf
5th row2014년 기술수준평가_총괄 최종보고서.pdf
ValueCountFrequency (%)
육성 8
 
8.9%
종합계획 6
 
6.7%
단위사업평가 4
 
4.4%
분야).pdf 3
 
3.3%
평가 3
 
3.3%
결과보고서.pdf 3
 
3.3%
농림수산식품과학기술 3
 
3.3%
과학기술 3
 
3.3%
농림수산식품 3
 
3.3%
기술분야평가 3
 
3.3%
Other values (47) 51
56.7%
2023-12-11T12:47:14.765733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
9.2%
d 24
 
3.3%
. 24
 
3.3%
p 24
 
3.3%
f 24
 
3.3%
기 22
 
3.1%
과 21
 
2.9%
술 20
 
2.8%
1 19
 
2.6%
2 18
 
2.5%
Other values (99) 455
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 456
63.6%
Lowercase Letter 72
 
10.0%
Space Separator 66
 
9.2%
Decimal Number 61
 
8.5%
Other Punctuation 25
 
3.5%
Close Punctuation 17
 
2.4%
Open Punctuation 17
 
2.4%
Connector Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 22
 
4.8%
과 21
 
4.6%
술 20
 
4.4%
가 16
 
3.5%
식 16
 
3.5%
획 15
 
3.3%
품 15
 
3.3%
고 15
 
3.3%
계 15
 
3.3%
업 14
 
3.1%
Other values (77) 287
62.9%
Decimal Number
ValueCountFrequency (%)
1 19
31.1%
2 18
29.5%
0 17
27.9%
4 2
 
3.3%
8 1
 
1.6%
5 1
 
1.6%
9 1
 
1.6%
7 1
 
1.6%
6 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
d 24
33.3%
p 24
33.3%
f 24
33.3%
Other Punctuation
ValueCountFrequency (%)
. 24
96.0%
, 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 16
94.1%
] 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 16
94.1%
[ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
66
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 456
63.6%
Common 189
26.4%
Latin 72
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 22
 
4.8%
과 21
 
4.6%
술 20
 
4.4%
가 16
 
3.5%
식 16
 
3.5%
획 15
 
3.3%
품 15
 
3.3%
고 15
 
3.3%
계 15
 
3.3%
업 14
 
3.1%
Other values (77) 287
62.9%
Common
ValueCountFrequency (%)
66
34.9%
. 24
 
12.7%
1 19
 
10.1%
2 18
 
9.5%
0 17
 
9.0%
) 16
 
8.5%
( 16
 
8.5%
4 2
 
1.1%
, 1
 
0.5%
_ 1
 
0.5%
Other values (9) 9
 
4.8%
Latin
ValueCountFrequency (%)
d 24
33.3%
p 24
33.3%
f 24
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 456
63.6%
ASCII 260
36.3%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
25.4%
d 24
 
9.2%
. 24
 
9.2%
p 24
 
9.2%
f 24
 
9.2%
1 19
 
7.3%
2 18
 
6.9%
0 17
 
6.5%
) 16
 
6.2%
( 16
 
6.2%
Other values (11) 12
 
4.6%
Hangul
ValueCountFrequency (%)
기 22
 
4.8%
과 21
 
4.6%
술 20
 
4.4%
가 16
 
3.5%
식 16
 
3.5%
획 15
 
3.3%
품 15
 
3.3%
고 15
 
3.3%
계 15
 
3.3%
업 14
 
3.1%
Other values (77) 287
62.9%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Interactions

2023-12-11T12:47:12.380769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:47:14.897949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호자료명발행일첨부파일 명
번호1.0001.0000.9691.000
자료명1.0001.0001.0001.000
발행일0.9691.0001.0001.000
첨부파일 명1.0001.0001.0001.000

Missing values

2023-12-11T12:47:12.499167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:47:12.625456image/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

번호자료명발행일구분첨부파일 명
01제2차 농림식품과학기술육성 종합계획(2015~2019) 2018년 시행계획2018-03-01농림R&D정책농림식품기술기획평가원-농림식품과학기술 육성 종합계획 2018년도 시행계획(인쇄본)(2).pdf
12제2차 농림식품과학기술육성 종합계획(2015~2019) 2017년 시행계획2017-04-01농림R&D정책제2차 농림식품과학기술 육성 종합계획(2015∼2019) 2017년도 시행계획(인쇄본).pdf
232016 농림식품 기술수준평가2017-07-09농림R&D정책2016 농림식품 기술수준평가 최종보고서.pdf
342040 농림식품 미래기술예측 보고2016-06-01농림R&D정책2040 농림식품 미래기술예측 보고서.pdf
452014년 농림식품 기술수준평가 보고서2014-12-01농림R&D정책2014년 기술수준평가_총괄 최종보고서.pdf
56[2013~2022] 농림식품과학기술 육성 중장기 계획2013-07-01농림R&D정책농림식품과학기술육성중장기계획(1).pdf
67농림수산식품과학기술 육성 종합계획 2011년도 추진실적2012-12-01농림R&D정책농림수산식품과학기술 육성 종합계획 2011년도 추진실적(1).pdf
78단위사업평가 결과보고서(전통식품한식세계화산업)2012-10-01농림R&D정책전통식품한식세계화산업 평가 결과보고서.pdf
89단위사업평가 결과보고서(작물연구사업)2012-10-01농림R&D정책[2012] 작물연구사업 평가결과보고서.pdf
910단위사업평가 결과보고서(수의과학기술개발연구사업)2012-10-01농림R&D정책수의과학기술개발연구사업 평가 결과보고서.pdf
번호자료명발행일구분첨부파일 명
1415단위사업평가 결과보고서(원예시험연구사업)2011-04-01농림R&D정책단위사업평가 결과보고서(원예시험연구사업).pdf
1516단위사업평가 결과보고서(국제농업기술협력)2011-04-01농림R&D정책단위사업평가 결과보고서(국제농업기술협력).pdf
1617단위사업평가 결과보고서(고부가가치 식품기술개발사업)2011-04-01농림R&D정책단위사업평가 결과보고서(고부가가치 식품기술개발사업).pdf
1718기술분야평가 결과보고서(바이오에너지 분야)2010-09-01농림R&D정책기술분야평가 결과보고서(바이오에너지 분야).pdf
1819기술분야평가 결과보고서(동물, 식의약품 및 소재 분야)2010-09-01농림R&D정책기술분야평가 결과보고서(동물, 식의약품 및 소재 분야).pdf
1920단위사업평가 결과보고서(농림기술개발사업)2011-12-01농림R&D정책단위사업평가 결과보고서(농림기술개발사업).pdf
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