Overview

Dataset statistics

Number of variables7
Number of observations1446
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.0 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Text4
DateTime1

Dataset

Description농림수산식품 자원․환경․생태기반 R&D 과제 정보(20151216) 번호,분류,사업명,총괄과제번호,세부과제번호,과제명,연구수행기관,주관기관,총연구기관 시작일,총연구기간 종료일,당해년연구기간 시작일,당해년연구기간 종료일,총연구비,연구목표요약 등의 정보 제공
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15053190/fileData.do

Alerts

총연구비(백만원) is highly skewed (γ1 = 29.4508657)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:03:14.187028
Analysis finished2023-12-12 06:03:15.897411
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1446
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.5
Minimum1
Maximum1446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T15:03:16.244535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.25
Q1362.25
median723.5
Q31084.75
95-th percentile1373.75
Maximum1446
Range1445
Interquartile range (IQR)722.5

Descriptive statistics

Standard deviation417.56856
Coefficient of variation (CV)0.57715074
Kurtosis-1.2
Mean723.5
Median Absolute Deviation (MAD)361.5
Skewness0
Sum1046181
Variance174363.5
MonotonicityStrictly increasing
2023-12-12T15:03:16.463244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
973 1
 
0.1%
971 1
 
0.1%
970 1
 
0.1%
969 1
 
0.1%
968 1
 
0.1%
967 1
 
0.1%
966 1
 
0.1%
965 1
 
0.1%
964 1
 
0.1%
Other values (1436) 1436
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1446 1
0.1%
1445 1
0.1%
1444 1
0.1%
1443 1
0.1%
1442 1
0.1%
1441 1
0.1%
1440 1
0.1%
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%

과제명
Text

Distinct1387
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:03:16.814142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length62
Mean length29.618949
Min length6

Characters and Unicode

Total characters42829
Distinct characters616
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1338 ?
Unique (%)92.5%

Sample

1st rowCCGIS를 이용한 기후변화 대응 채소류의 취약성 평가, 재배지 예측 및 생리생태적 변이
2nd row돼지의 성장과 면역 및 번식능력 평가에 의한 항생제 대체 자기활성수 시스템 개발
3rd row사막화 지역에 재배 가능한 수출용 AtBG1 유전자 도입 2세대 유채 품종 육성 및 상용화
4th row천연물질을 이용한 한우 수태율 향상기술 개발
5th row농촌용수의 효율적 이용을 위한 SMART PIPELINE SYSTEM 개발
ValueCountFrequency (%)
및 613
 
6.0%
개발 442
 
4.3%
연구 243
 
2.4%
재배지 162
 
1.6%
토양검정 150
 
1.5%
주요작물 150
 
1.5%
2012 149
 
1.5%
위한 129
 
1.3%
이용한 109
 
1.1%
기술 96
 
0.9%
Other values (3344) 7990
78.1%
2023-12-12T15:03:17.342363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8808
 
20.6%
발 900
 
2.1%
기 821
 
1.9%
개 744
 
1.7%
및 615
 
1.4%
물 607
 
1.4%
구 571
 
1.3%
지 569
 
1.3%
용 495
 
1.2%
생 485
 
1.1%
Other values (606) 28214
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31368
73.2%
Space Separator 8808
 
20.6%
Decimal Number 763
 
1.8%
Lowercase Letter 638
 
1.5%
Uppercase Letter 551
 
1.3%
Open Punctuation 224
 
0.5%
Close Punctuation 223
 
0.5%
Other Punctuation 192
 
0.4%
Dash Punctuation 47
 
0.1%
Initial Punctuation 5
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 900
 
2.9%
기 821
 
2.6%
개 744
 
2.4%
및 615
 
2.0%
물 607
 
1.9%
구 571
 
1.8%
지 569
 
1.8%
용 495
 
1.6%
생 485
 
1.5%
의 479
 
1.5%
Other values (533) 25082
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 81
12.7%
i 74
11.6%
o 61
9.6%
t 48
 
7.5%
l 45
 
7.1%
n 44
 
6.9%
a 42
 
6.6%
r 41
 
6.4%
c 34
 
5.3%
s 28
 
4.4%
Other values (15) 140
21.9%
Uppercase Letter
ValueCountFrequency (%)
C 49
 
8.9%
P 47
 
8.5%
M 41
 
7.4%
I 40
 
7.3%
D 40
 
7.3%
S 38
 
6.9%
A 37
 
6.7%
G 35
 
6.4%
R 34
 
6.2%
B 32
 
5.8%
Other values (14) 158
28.7%
Decimal Number
ValueCountFrequency (%)
2 357
46.8%
1 209
27.4%
0 163
21.4%
4 10
 
1.3%
5 8
 
1.0%
3 7
 
0.9%
8 6
 
0.8%
7 2
 
0.3%
6 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 96
50.0%
· 40
20.8%
. 26
 
13.5%
/ 24
 
12.5%
& 2
 
1.0%
: 2
 
1.0%
; 1
 
0.5%
# 1
 
0.5%
Space Separator
ValueCountFrequency (%)
8808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31363
73.2%
Common 10272
 
24.0%
Latin 1189
 
2.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 900
 
2.9%
기 821
 
2.6%
개 744
 
2.4%
및 615
 
2.0%
물 607
 
1.9%
구 571
 
1.8%
지 569
 
1.8%
용 495
 
1.6%
생 485
 
1.5%
의 479
 
1.5%
Other values (530) 25077
80.0%
Latin
ValueCountFrequency (%)
e 81
 
6.8%
i 74
 
6.2%
o 61
 
5.1%
C 49
 
4.1%
t 48
 
4.0%
P 47
 
4.0%
l 45
 
3.8%
n 44
 
3.7%
a 42
 
3.5%
r 41
 
3.4%
Other values (39) 657
55.3%
Common
ValueCountFrequency (%)
8808
85.7%
2 357
 
3.5%
( 224
 
2.2%
) 223
 
2.2%
1 209
 
2.0%
0 163
 
1.6%
, 96
 
0.9%
- 47
 
0.5%
· 40
 
0.4%
. 26
 
0.3%
Other values (14) 79
 
0.8%
Han
ValueCountFrequency (%)
灌 2
40.0%
肥 2
40.0%
新 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31359
73.2%
ASCII 11411
 
26.6%
None 40
 
0.1%
Punctuation 10
 
< 0.1%
CJK 5
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8808
77.2%
2 357
 
3.1%
( 224
 
2.0%
) 223
 
2.0%
1 209
 
1.8%
0 163
 
1.4%
, 96
 
0.8%
e 81
 
0.7%
i 74
 
0.6%
o 61
 
0.5%
Other values (60) 1115
 
9.8%
Hangul
ValueCountFrequency (%)
발 900
 
2.9%
기 821
 
2.6%
개 744
 
2.4%
및 615
 
2.0%
물 607
 
1.9%
구 571
 
1.8%
지 569
 
1.8%
용 495
 
1.6%
생 485
 
1.5%
의 479
 
1.5%
Other values (529) 25073
80.0%
None
ValueCountFrequency (%)
· 40
100.0%
Punctuation
ValueCountFrequency (%)
‘ 5
50.0%
’ 5
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK
ValueCountFrequency (%)
灌 2
40.0%
肥 2
40.0%
新 1
20.0%

주관기관명
Text

Distinct373
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:03:17.622403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length7.9986169
Min length2

Characters and Unicode

Total characters11566
Distinct characters295
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

Unique252 ?
Unique (%)17.4%

Sample

1st row(주)이파리넷
2nd row강원대학교 산학협력단
3rd row(주)에프앤피
4th row명품한우컨설팅
5th row한국농어촌공사 농어촌연구원
ValueCountFrequency (%)
농촌진흥청 551
27.7%
본청 355
17.8%
산학협력단 82
 
4.1%
서울대학교 49
 
2.5%
경상대학교 33
 
1.7%
국립수의과학검역원 28
 
1.4%
전라남도농업기술원 23
 
1.2%
전북대학교 22
 
1.1%
강원대학교 21
 
1.1%
충남대학교 19
 
1.0%
Other values (371) 807
40.6%
2023-12-12T15:03:18.114509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 940
 
8.1%
농 904
 
7.8%
촌 588
 
5.1%
학 587
 
5.1%
진 560
 
4.8%
흥 555
 
4.8%
544
 
4.7%
대 401
 
3.5%
교 387
 
3.3%
본 357
 
3.1%
Other values (285) 5743
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10705
92.6%
Space Separator 544
 
4.7%
Lowercase Letter 100
 
0.9%
Close Punctuation 95
 
0.8%
Open Punctuation 95
 
0.8%
Uppercase Letter 23
 
0.2%
Decimal Number 2
 
< 0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 940
 
8.8%
농 904
 
8.4%
촌 588
 
5.5%
학 587
 
5.5%
진 560
 
5.2%
흥 555
 
5.2%
대 401
 
3.7%
교 387
 
3.6%
본 357
 
3.3%
기 337
 
3.1%
Other values (258) 5089
47.5%
Lowercase Letter
ValueCountFrequency (%)
i 15
15.0%
e 10
10.0%
o 10
10.0%
l 10
10.0%
a 10
10.0%
t 10
10.0%
n 10
10.0%
s 5
 
5.0%
r 5
 
5.0%
v 5
 
5.0%
Other values (2) 10
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 6
26.1%
S 6
26.1%
U 5
21.7%
K 2
 
8.7%
B 1
 
4.3%
F 1
 
4.3%
O 1
 
4.3%
M 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10706
92.6%
Common 737
 
6.4%
Latin 123
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 940
 
8.8%
농 904
 
8.4%
촌 588
 
5.5%
학 587
 
5.5%
진 560
 
5.2%
흥 555
 
5.2%
대 401
 
3.7%
교 387
 
3.6%
본 357
 
3.3%
기 337
 
3.1%
Other values (259) 5090
47.5%
Latin
ValueCountFrequency (%)
i 15
12.2%
e 10
 
8.1%
o 10
 
8.1%
l 10
 
8.1%
a 10
 
8.1%
t 10
 
8.1%
n 10
 
8.1%
N 6
 
4.9%
S 6
 
4.9%
U 5
 
4.1%
Other values (10) 31
25.2%
Common
ValueCountFrequency (%)
544
73.8%
) 95
 
12.9%
( 95
 
12.9%
1 1
 
0.1%
2 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10705
92.6%
ASCII 860
 
7.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 940
 
8.8%
농 904
 
8.4%
촌 588
 
5.5%
학 587
 
5.5%
진 560
 
5.2%
흥 555
 
5.2%
대 401
 
3.7%
교 387
 
3.6%
본 357
 
3.3%
기 337
 
3.1%
Other values (258) 5089
47.5%
ASCII
ValueCountFrequency (%)
544
63.3%
) 95
 
11.0%
( 95
 
11.0%
i 15
 
1.7%
e 10
 
1.2%
o 10
 
1.2%
l 10
 
1.2%
a 10
 
1.2%
t 10
 
1.2%
n 10
 
1.2%
Other values (16) 51
 
5.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

총연구기간_시작일
Date

Distinct77
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2004-01-01 00:00:00
Maximum2013-12-20 00:00:00
2023-12-12T15:03:18.271093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:18.433324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총연구기간_종료일
Text

Distinct98
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:03:18.687509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters14460
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

Unique41 ?
Unique (%)2.8%

Sample

1st row2016-12-20
2nd row2015-12-20
3rd row2017-12-20
4th row2015-12-20
5th row2015-12-17
ValueCountFrequency (%)
2012-12-31 478
33.1%
2014-12-31 293
20.3%
2013-12-31 286
19.8%
2011-12-31 51
 
3.5%
2015-12-31 44
 
3.0%
2012-04-09 29
 
2.0%
2016-12-31 22
 
1.5%
2013-06-30 17
 
1.2%
2014-09-22 14
 
1.0%
2015-08-09 11
 
0.8%
Other values (88) 201
13.9%
2023-12-12T15:03:19.104075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4052
28.0%
2 3324
23.0%
- 2892
20.0%
0 1749
12.1%
3 1651
11.4%
4 407
 
2.8%
5 132
 
0.9%
9 98
 
0.7%
6 80
 
0.6%
8 62
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11568
80.0%
Dash Punctuation 2892
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4052
35.0%
2 3324
28.7%
0 1749
15.1%
3 1651
14.3%
4 407
 
3.5%
5 132
 
1.1%
9 98
 
0.8%
6 80
 
0.7%
8 62
 
0.5%
7 13
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2892
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14460
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4052
28.0%
2 3324
23.0%
- 2892
20.0%
0 1749
12.1%
3 1651
11.4%
4 407
 
2.8%
5 132
 
0.9%
9 98
 
0.7%
6 80
 
0.6%
8 62
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4052
28.0%
2 3324
23.0%
- 2892
20.0%
0 1749
12.1%
3 1651
11.4%
4 407
 
2.8%
5 132
 
0.9%
9 98
 
0.7%
6 80
 
0.6%
8 62
 
0.4%

총연구비(백만원)
Real number (ℝ)

SKEWED 

Distinct296
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.30397
Minimum2
Maximum17982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T15:03:19.258420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q135
median60
Q3110
95-th percentile380
Maximum17982
Range17980
Interquartile range (IQR)75

Descriptive statistics

Standard deviation523.72129
Coefficient of variation (CV)4.426912
Kurtosis964.54193
Mean118.30397
Median Absolute Deviation (MAD)32.65
Skewness29.450866
Sum171067.55
Variance274283.99
MonotonicityNot monotonic
2023-12-12T15:03:19.438901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 105
 
7.3%
50.0 96
 
6.6%
70.0 77
 
5.3%
30.0 75
 
5.2%
60.0 66
 
4.6%
100.0 59
 
4.1%
80.0 51
 
3.5%
20.0 48
 
3.3%
10.0 42
 
2.9%
90.0 32
 
2.2%
Other values (286) 795
55.0%
ValueCountFrequency (%)
2.0 1
 
0.1%
2.1 1
 
0.1%
2.8 1
 
0.1%
3.4 1
 
0.1%
3.9 1
 
0.1%
4.2 1
 
0.1%
5.0 1
 
0.1%
5.35 1
 
0.1%
5.4 1
 
0.1%
6.0 8
0.6%
ValueCountFrequency (%)
17982.0 1
0.1%
7462.0 1
0.1%
1076.0 1
0.1%
1065.0 1
0.1%
1000.0 1
0.1%
908.6 1
0.1%
822.76 1
0.1%
800.0 1
0.1%
781.92 1
0.1%
750.0 2
0.1%

사업명
Text

Distinct54
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T15:03:19.710353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length6
Mean length7.8229599
Min length5

Characters and Unicode

Total characters11312
Distinct characters129
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.7%

Sample

1st row생명산업기술개발
2nd row생명산업기술개발
3rd row생명산업기술개발
4th row생명산업기술개발
5th row첨단기술개발사업
ValueCountFrequency (%)
국책기술개발 559
37.3%
농업현장실용화기술개발 126
 
8.4%
작물시험연구 82
 
5.5%
생명산업기술개발 81
 
5.4%
원예특작시험연구 75
 
5.0%
차세대바이오그린21 61
 
4.1%
농업환경연구 55
 
3.7%
임업기술연구개발사업 46
 
3.1%
농업생물연구 44
 
2.9%
농림기술개발 35
 
2.3%
Other values (46) 335
22.3%
2023-12-12T15:03:20.137804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
발 1006
 
8.9%
개 1006
 
8.9%
기 995
 
8.8%
술 995
 
8.8%
책 579
 
5.1%
국 559
 
4.9%
업 480
 
4.2%
연 469
 
4.1%
구 465
 
4.1%
농 343
 
3.0%
Other values (119) 4415
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10864
96.0%
Decimal Number 134
 
1.2%
Uppercase Letter 124
 
1.1%
Other Punctuation 54
 
0.5%
Space Separator 53
 
0.5%
Close Punctuation 40
 
0.4%
Open Punctuation 40
 
0.4%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 1006
 
9.3%
개 1006
 
9.3%
기 995
 
9.2%
술 995
 
9.2%
책 579
 
5.3%
국 559
 
5.1%
업 480
 
4.4%
연 469
 
4.3%
구 465
 
4.3%
농 343
 
3.2%
Other values (101) 3967
36.5%
Uppercase Letter
ValueCountFrequency (%)
A 28
22.6%
F 28
22.6%
T 28
22.6%
D 20
16.1%
R 20
16.1%
Decimal Number
ValueCountFrequency (%)
2 61
45.5%
1 61
45.5%
9 6
 
4.5%
0 6
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 28
51.9%
& 20
37.0%
' 6
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 34
85.0%
] 6
 
15.0%
Open Punctuation
ValueCountFrequency (%)
( 34
85.0%
[ 6
 
15.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10864
96.0%
Common 324
 
2.9%
Latin 124
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 1006
 
9.3%
개 1006
 
9.3%
기 995
 
9.2%
술 995
 
9.2%
책 579
 
5.3%
국 559
 
5.1%
업 480
 
4.4%
연 469
 
4.3%
구 465
 
4.3%
농 343
 
3.2%
Other values (101) 3967
36.5%
Common
ValueCountFrequency (%)
2 61
18.8%
1 61
18.8%
53
16.4%
) 34
10.5%
( 34
10.5%
, 28
8.6%
& 20
 
6.2%
] 6
 
1.9%
[ 6
 
1.9%
9 6
 
1.9%
Other values (3) 15
 
4.6%
Latin
ValueCountFrequency (%)
A 28
22.6%
F 28
22.6%
T 28
22.6%
D 20
16.1%
R 20
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10864
96.0%
ASCII 448
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
발 1006
 
9.3%
개 1006
 
9.3%
기 995
 
9.2%
술 995
 
9.2%
책 579
 
5.3%
국 559
 
5.1%
업 480
 
4.4%
연 469
 
4.3%
구 465
 
4.3%
농 343
 
3.2%
Other values (101) 3967
36.5%
ASCII
ValueCountFrequency (%)
2 61
13.6%
1 61
13.6%
53
11.8%
) 34
7.6%
( 34
7.6%
, 28
 
6.2%
A 28
 
6.2%
F 28
 
6.2%
T 28
 
6.2%
D 20
 
4.5%
Other values (8) 73
16.3%

Interactions

2023-12-12T15:03:15.420603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:15.203102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:15.522810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:03:15.323824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:03:20.278484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
순번1.0000.9790.7950.0050.770
총연구기간_시작일0.9791.0000.9980.0000.947
총연구기간_종료일0.7950.9981.0001.0000.967
총연구비(백만원)0.0050.0001.0001.0001.000
사업명0.7700.9470.9671.0001.000
2023-12-12T15:03:20.400707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총연구비(백만원)
순번1.0000.375
총연구비(백만원)0.3751.000

Missing values

2023-12-12T15:03:15.694031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:03:15.843764image/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

순번과제명주관기관명총연구기간_시작일총연구기간_종료일총연구비(백만원)사업명
01CCGIS를 이용한 기후변화 대응 채소류의 취약성 평가, 재배지 예측 및 생리생태적 변이(주)이파리넷2012-12-212016-12-2070.0생명산업기술개발
12돼지의 성장과 면역 및 번식능력 평가에 의한 항생제 대체 자기활성수 시스템 개발강원대학교 산학협력단2012-12-212015-12-2080.0생명산업기술개발
23사막화 지역에 재배 가능한 수출용 AtBG1 유전자 도입 2세대 유채 품종 육성 및 상용화(주)에프앤피2012-12-212017-12-20280.0생명산업기술개발
34천연물질을 이용한 한우 수태율 향상기술 개발명품한우컨설팅2012-12-212015-12-20220.0생명산업기술개발
45농촌용수의 효율적 이용을 위한 SMART PIPELINE SYSTEM 개발한국농어촌공사 농어촌연구원2012-12-182015-12-17400.0첨단기술개발사업
56지능형 관개/배수 관리 시스템 개발한국농어촌공사 농어촌연구원2012-12-182015-12-17400.0수출전략기술개발사업
67농림수산식품 기후변화 영향 분석 및 영향평가 모델 구축한국농촌경제연구원2012-11-262014-11-25500.0생명산업기술개발
78농업 시설물의 지붕을 활용한 태양열이용시스템 개발경북대학교 산학협력단2012-11-262015-11-25590.0첨단기술개발사업
89도시농업 확산을 위한 농자재 표준화 및 활용기술 개발고려바이오주식회사2012-11-262015-11-25180.0첨단기술개발사업
910반추동물의 탄소배출 저감형 사료첨가제 개발중앙대학교 산학협력단2012-11-262016-11-25400.0생명산업기술개발
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14361437식물 바이러스병 매개 가루이류 예찰진단 및 방제기술 개발경북대학교 산학협력단2011-12-262016-12-25400.0생명산업기술개발
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14381439마늘 흑색썩음균핵병 방제를 위한 생물농약 개발 및 상품화한국삼공주식회사2011-09-232014-09-22140.0생명산업기술개발
14391440박테리오파아지를 이용한 친환경적 갈반병 방제방법 개발충북대학교 산학협력단2011-09-232014-09-22110.0생명산업기술개발
14401441식물 역병 방제물질 및 친환경적 방제법 개발한양대학교 산학협력단2011-09-232014-09-22110.0생명산업기술개발
14411442하수처리수의 농업용수 간접재이용시스템개발과 적용서울대학교 산학협력단2011-09-232014-09-22270.0생명산업기술개발
14421443Cyclic lipopetide의 생산능이 증진된 길항 미생물 Bacillus의 개발 및 산업화한국생명공학연구원2011-09-232014-09-22130.0생명산업기술개발
14431444농림 폐자원을 이용한 친환경 생초 미생물 혼합액비 산업화자연과사람주식회사2011-08-192014-08-18170.0생명산업기술개발
14441445기후변화 대응 농업생산기반시스템의 통합안정성 관리기술 개발서울대학교 산학협력단2011-08-192014-08-18300.0첨단생산기술개발
14451446뿌리혹선충 방제제 개발 및 방제 매뉴얼 활용전남대학교 산학협력단2011-08-192014-08-18350.0생명산업기술개발