Overview

Dataset statistics

Number of variables9
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory75.5 B

Variable types

Numeric1
Categorical1
Text5
DateTime2

Dataset

Description우리 기관이 보유하고 있는 농림식품R&D 중분류 중 2020년 기계시스템 R&D 교육지도 및 활용정보 공개 농림식품RnD 관련 연구성과로 창출된 데이터를 제공합니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075489/fileData.do

Alerts

분류 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:59:54.592642
Analysis finished2023-12-12 06:59:55.582494
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T15:59:55.670372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-12T15:59:55.842786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
농림식품 기계시스템
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림식품 기계시스템
2nd row농림식품 기계시스템
3rd row농림식품 기계시스템
4th row농림식품 기계시스템
5th row농림식품 기계시스템

Common Values

ValueCountFrequency (%)
농림식품 기계시스템 52
100.0%

Length

2023-12-12T15:59:55.989689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:59:56.122234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 52
50.0%
기계시스템 52
50.0%
Distinct26
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:59:56.354268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters416
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)21.2%

Sample

1st row114148-3
2nd row114148-3
3rd row118066-2
4th row118076-2
5th row118076-2
ValueCountFrequency (%)
118080-2 7
 
13.5%
118076-2 5
 
9.6%
617069-5 3
 
5.8%
118083-2 3
 
5.8%
316019-3 3
 
5.8%
319019-1 2
 
3.8%
114148-3 2
 
3.8%
319043-3 2
 
3.8%
319042-3 2
 
3.8%
318077-2 2
 
3.8%
Other values (16) 21
40.4%
2023-12-12T15:59:56.730247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 98
23.6%
0 65
15.6%
- 52
12.5%
3 44
10.6%
8 43
10.3%
2 31
 
7.5%
9 27
 
6.5%
6 23
 
5.5%
7 17
 
4.1%
4 11
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 364
87.5%
Dash Punctuation 52
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 98
26.9%
0 65
17.9%
3 44
12.1%
8 43
11.8%
2 31
 
8.5%
9 27
 
7.4%
6 23
 
6.3%
7 17
 
4.7%
4 11
 
3.0%
5 5
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 98
23.6%
0 65
15.6%
- 52
12.5%
3 44
10.6%
8 43
10.3%
2 31
 
7.5%
9 27
 
6.5%
6 23
 
5.5%
7 17
 
4.1%
4 11
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 98
23.6%
0 65
15.6%
- 52
12.5%
3 44
10.6%
8 43
10.3%
2 31
 
7.5%
9 27
 
6.5%
6 23
 
5.5%
7 17
 
4.1%
4 11
 
2.6%
Distinct26
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:59:57.031440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length38.5
Mean length31.269231
Min length11

Characters and Unicode

Total characters1626
Distinct characters225
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)21.2%

Sample

1st row밀폐형 생산시스템을 이용한 고품질 호접란 분화 급속생산기술 개발
2nd row밀폐형 생산시스템을 이용한 고품질 호접란 분화 급속생산기술 개발
3rd row그린하우스 난방용 전기보일러의 소비전력 120KW에서 60KW이하로 50%이상 에너지 절감된 농업용 전기보일러 개발
4th row과수원 조류 퇴치기 개발
5th row과수원 조류 퇴치기 개발
ValueCountFrequency (%)
개발 41
 
10.2%
18
 
4.5%
위한 14
 
3.5%
퇴치기 12
 
3.0%
자주식 9
 
2.2%
가능한 8
 
2.0%
활용하여 7
 
1.7%
산업화 7
 
1.7%
머신러닝을 7
 
1.7%
두더지의 7
 
1.7%
Other values (145) 272
67.7%
2023-12-12T15:59:57.498684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
21.5%
58
 
3.6%
46
 
2.8%
43
 
2.6%
28
 
1.7%
27
 
1.7%
21
 
1.3%
20
 
1.2%
20
 
1.2%
20
 
1.2%
Other values (215) 993
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1220
75.0%
Space Separator 350
 
21.5%
Uppercase Letter 23
 
1.4%
Decimal Number 14
 
0.9%
Other Punctuation 7
 
0.4%
Lowercase Letter 5
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
4.8%
46
 
3.8%
43
 
3.5%
28
 
2.3%
27
 
2.2%
21
 
1.7%
20
 
1.6%
20
 
1.6%
20
 
1.6%
20
 
1.6%
Other values (186) 917
75.2%
Uppercase Letter
ValueCountFrequency (%)
P 4
17.4%
T 3
13.0%
I 2
8.7%
K 2
8.7%
W 2
8.7%
C 2
8.7%
R 2
8.7%
F 2
8.7%
H 1
 
4.3%
L 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
1 8
57.1%
0 3
 
21.4%
2 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
· 1
 
14.3%
% 1
 
14.3%
. 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
u 2
40.0%
s 1
20.0%
r 1
20.0%
a 1
20.0%
Space Separator
ValueCountFrequency (%)
350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1220
75.0%
Common 378
 
23.2%
Latin 28
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
4.8%
46
 
3.8%
43
 
3.5%
28
 
2.3%
27
 
2.2%
21
 
1.7%
20
 
1.6%
20
 
1.6%
20
 
1.6%
20
 
1.6%
Other values (186) 917
75.2%
Latin
ValueCountFrequency (%)
P 4
14.3%
T 3
10.7%
I 2
 
7.1%
K 2
 
7.1%
W 2
 
7.1%
u 2
 
7.1%
C 2
 
7.1%
R 2
 
7.1%
F 2
 
7.1%
s 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
350
92.6%
1 8
 
2.1%
, 4
 
1.1%
) 3
 
0.8%
0 3
 
0.8%
( 3
 
0.8%
· 1
 
0.3%
2 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1220
75.0%
ASCII 405
 
24.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
86.4%
1 8
 
2.0%
P 4
 
1.0%
, 4
 
1.0%
) 3
 
0.7%
0 3
 
0.7%
T 3
 
0.7%
( 3
 
0.7%
I 2
 
0.5%
K 2
 
0.5%
Other values (18) 23
 
5.7%
Hangul
ValueCountFrequency (%)
58
 
4.8%
46
 
3.8%
43
 
3.5%
28
 
2.3%
27
 
2.2%
21
 
1.7%
20
 
1.6%
20
 
1.6%
20
 
1.6%
20
 
1.6%
Other values (186) 917
75.2%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct26
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:59:57.741379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9615385
Min length2

Characters and Unicode

Total characters154
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)21.2%

Sample

1st row오욱
2nd row오욱
3rd row조인철
4th row조용준
5th row조용준
ValueCountFrequency (%)
조재두 7
 
13.5%
조용준 5
 
9.6%
장길수 3
 
5.8%
이영재 3
 
5.8%
이리중 3
 
5.8%
권경석 2
 
3.8%
오욱 2
 
3.8%
윤기동 2
 
3.8%
윤병운 2
 
3.8%
왕명현 2
 
3.8%
Other values (16) 21
40.4%
2023-12-12T15:59:58.126743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
8.4%
10
 
6.5%
8
 
5.2%
8
 
5.2%
7
 
4.5%
6
 
3.9%
6
 
3.9%
5
 
3.2%
5
 
3.2%
4
 
2.6%
Other values (37) 82
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
8.4%
10
 
6.5%
8
 
5.2%
8
 
5.2%
7
 
4.5%
6
 
3.9%
6
 
3.9%
5
 
3.2%
5
 
3.2%
4
 
2.6%
Other values (37) 82
53.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
8.4%
10
 
6.5%
8
 
5.2%
8
 
5.2%
7
 
4.5%
6
 
3.9%
6
 
3.9%
5
 
3.2%
5
 
3.2%
4
 
2.6%
Other values (37) 82
53.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
8.4%
10
 
6.5%
8
 
5.2%
8
 
5.2%
7
 
4.5%
6
 
3.9%
6
 
3.9%
5
 
3.2%
5
 
3.2%
4
 
2.6%
Other values (37) 82
53.2%
Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:59:58.540845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length31
Mean length22.980769
Min length8

Characters and Unicode

Total characters1195
Distinct characters258
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row수출용 호접란 온실 및 조직배양실 환경제어에 대한 현장기술지원
2nd row수출용 호접란 품질 향상에 대한 현장기술지원
3rd row금산비닐하우스 농장 농업용전기보일러 설치 운영교육
4th row조류 피해 사례와 해결방안 논의
5th row조류 피해 예방
ValueCountFrequency (%)
13
 
4.5%
교육 10
 
3.5%
위한 4
 
1.4%
조류 4
 
1.4%
설계 4
 
1.4%
2020년 4
 
1.4%
과원 3
 
1.0%
스마트팜 3
 
1.0%
방안 3
 
1.0%
과수원 3
 
1.0%
Other values (192) 237
82.3%
2023-12-12T15:59:59.139737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
19.7%
33
 
2.8%
19
 
1.6%
18
 
1.5%
17
 
1.4%
2 17
 
1.4%
17
 
1.4%
16
 
1.3%
0 15
 
1.3%
14
 
1.2%
Other values (248) 793
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 853
71.4%
Space Separator 236
 
19.7%
Decimal Number 45
 
3.8%
Uppercase Letter 25
 
2.1%
Lowercase Letter 13
 
1.1%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%
Other Punctuation 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
3.9%
19
 
2.2%
18
 
2.1%
17
 
2.0%
17
 
2.0%
16
 
1.9%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (212) 680
79.7%
Uppercase Letter
ValueCountFrequency (%)
T 4
16.0%
C 4
16.0%
S 3
12.0%
A 3
12.0%
E 2
8.0%
D 1
 
4.0%
U 1
 
4.0%
J 1
 
4.0%
P 1
 
4.0%
H 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
2 17
37.8%
0 15
33.3%
1 5
 
11.1%
3 3
 
6.7%
9 2
 
4.4%
4 1
 
2.2%
6 1
 
2.2%
8 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
t 3
23.1%
e 2
15.4%
s 2
15.4%
i 2
15.4%
a 1
 
7.7%
v 1
 
7.7%
u 1
 
7.7%
n 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 853
71.4%
Common 304
 
25.4%
Latin 38
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
3.9%
19
 
2.2%
18
 
2.1%
17
 
2.0%
17
 
2.0%
16
 
1.9%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (212) 680
79.7%
Latin
ValueCountFrequency (%)
T 4
 
10.5%
C 4
 
10.5%
t 3
 
7.9%
S 3
 
7.9%
A 3
 
7.9%
e 2
 
5.3%
s 2
 
5.3%
i 2
 
5.3%
E 2
 
5.3%
D 1
 
2.6%
Other values (12) 12
31.6%
Common
ValueCountFrequency (%)
236
77.6%
2 17
 
5.6%
0 15
 
4.9%
( 8
 
2.6%
) 8
 
2.6%
1 5
 
1.6%
, 5
 
1.6%
3 3
 
1.0%
9 2
 
0.7%
4 1
 
0.3%
Other values (4) 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 853
71.4%
ASCII 342
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
69.0%
2 17
 
5.0%
0 15
 
4.4%
( 8
 
2.3%
) 8
 
2.3%
1 5
 
1.5%
, 5
 
1.5%
T 4
 
1.2%
C 4
 
1.2%
t 3
 
0.9%
Other values (26) 37
 
10.8%
Hangul
ValueCountFrequency (%)
33
 
3.9%
19
 
2.2%
18
 
2.1%
17
 
2.0%
17
 
2.0%
16
 
1.9%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (212) 680
79.7%
Distinct37
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T15:59:59.499100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31
Mean length13
Min length2

Characters and Unicode

Total characters676
Distinct characters184
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

Unique29 ?
Unique (%)55.8%

Sample

1st row연구보고서 및 매뉴얼
2nd row연구보고서 및 매뉴얼
3rd row농업용보일러 시범설치 농가 교육
4th row에코팜 카탈로그
5th row에코팜카탈로그
ValueCountFrequency (%)
9
 
5.7%
에코팜카탈로그 6
 
3.8%
교육 4
 
2.5%
동애등에 4
 
2.5%
산업화 4
 
2.5%
에코팜카달로그 4
 
2.5%
스마트팜 3
 
1.9%
활용 3
 
1.9%
기술 3
 
1.9%
매뉴얼 3
 
1.9%
Other values (90) 116
73.0%
2023-12-12T16:00:00.001291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
15.8%
16
 
2.4%
15
 
2.2%
13
 
1.9%
12
 
1.8%
12
 
1.8%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.6%
Other values (174) 454
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
72.5%
Space Separator 107
 
15.8%
Lowercase Letter 31
 
4.6%
Uppercase Letter 29
 
4.3%
Decimal Number 13
 
1.9%
Other Punctuation 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
3.3%
15
 
3.1%
13
 
2.7%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (137) 364
74.3%
Lowercase Letter
ValueCountFrequency (%)
n 4
12.9%
e 3
9.7%
k 3
9.7%
i 3
9.7%
s 2
 
6.5%
a 2
 
6.5%
h 2
 
6.5%
c 2
 
6.5%
l 2
 
6.5%
f 1
 
3.2%
Other values (7) 7
22.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
20.7%
P 5
17.2%
A 4
13.8%
S 3
10.3%
T 2
 
6.9%
I 2
 
6.9%
E 2
 
6.9%
F 1
 
3.4%
D 1
 
3.4%
H 1
 
3.4%
Other values (2) 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 2
33.3%
. 2
33.3%
/ 1
16.7%
& 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
0 6
46.2%
1 1
 
7.7%
Space Separator
ValueCountFrequency (%)
107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
72.5%
Common 126
 
18.6%
Latin 60
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
3.3%
15
 
3.1%
13
 
2.7%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (137) 364
74.3%
Latin
ValueCountFrequency (%)
C 6
 
10.0%
P 5
 
8.3%
A 4
 
6.7%
n 4
 
6.7%
S 3
 
5.0%
e 3
 
5.0%
k 3
 
5.0%
i 3
 
5.0%
T 2
 
3.3%
s 2
 
3.3%
Other values (19) 25
41.7%
Common
ValueCountFrequency (%)
107
84.9%
2 6
 
4.8%
0 6
 
4.8%
, 2
 
1.6%
. 2
 
1.6%
/ 1
 
0.8%
& 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
72.5%
ASCII 186
 
27.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
57.5%
2 6
 
3.2%
0 6
 
3.2%
C 6
 
3.2%
P 5
 
2.7%
A 4
 
2.2%
n 4
 
2.2%
S 3
 
1.6%
e 3
 
1.6%
k 3
 
1.6%
Other values (27) 39
 
21.0%
Hangul
ValueCountFrequency (%)
16
 
3.3%
15
 
3.1%
13
 
2.7%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (137) 364
74.3%
Distinct45
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2020-01-03 00:00:00
Maximum2020-11-19 00:00:00
2023-12-12T16:00:00.407002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:00.533254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
Distinct45
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2020-01-03 00:00:00
Maximum2020-11-20 00:00:00
2023-12-12T16:00:00.703169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:00:00.846634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

Interactions

2023-12-12T15:59:55.271692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:00:00.977535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자교육지도명교육지도 교재명교육지도 시작일자교육지도 종료일자
번호1.0000.9410.9410.9411.0000.9500.9360.888
과제관리번호0.9411.0001.0001.0001.0000.9980.9450.924
과제명0.9411.0001.0001.0001.0000.9980.9450.924
연구책임자0.9411.0001.0001.0001.0000.9980.9450.924
교육지도명1.0001.0001.0001.0001.0001.0000.9850.985
교육지도 교재명0.9500.9980.9980.9981.0001.0000.8460.735
교육지도 시작일자0.9360.9450.9450.9450.9850.8461.0000.999
교육지도 종료일자0.8880.9240.9240.9240.9850.7350.9991.000

Missing values

2023-12-12T15:59:55.384839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:59:55.526600image/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

번호분류과제관리번호과제명연구책임자교육지도명교육지도 교재명교육지도 시작일자교육지도 종료일자
01농림식품 기계시스템114148-3밀폐형 생산시스템을 이용한 고품질 호접란 분화 급속생산기술 개발오욱수출용 호접란 온실 및 조직배양실 환경제어에 대한 현장기술지원연구보고서 및 매뉴얼2020-06-042020-06-04
12농림식품 기계시스템114148-3밀폐형 생산시스템을 이용한 고품질 호접란 분화 급속생산기술 개발오욱수출용 호접란 품질 향상에 대한 현장기술지원연구보고서 및 매뉴얼2020-08-082020-08-08
23농림식품 기계시스템118066-2그린하우스 난방용 전기보일러의 소비전력 120KW에서 60KW이하로 50%이상 에너지 절감된 농업용 전기보일러 개발조인철금산비닐하우스 농장 농업용전기보일러 설치 운영교육농업용보일러 시범설치 농가 교육2020-11-022020-11-03
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56농림식품 기계시스템118076-2과수원 조류 퇴치기 개발조용준경북사과산학연협력단 현장컨설팅에코팜카탈로그2020-06-102020-06-10
67농림식품 기계시스템118076-2과수원 조류 퇴치기 개발조용준과수원 조류 퇴치기 개발에코팜카탈로그2020-05-152020-05-15
78농림식품 기계시스템118076-2과수원 조류 퇴치기 개발조용준여름철 과수원 조류 피해예방 컨설팅에코팜카달로그2020-08-112020-08-11
89농림식품 기계시스템118080-2머신러닝을 활용하여 두더지의 학습효과를 방지하는 모니터링이 가능한 퇴치기 개발조재두경주체리연구회 동계교육에코팜카탈로그2020-02-042020-02-04
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