Overview

Dataset statistics

Number of variables6
Number of observations172
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory50.8 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description한국과학기술기획평가원에서 보유하고 있는 도서목록 정보로 서명, 저자, 출판사, 출판년, 청구기호 항목을 제공합니다.
Author한국과학기술기획평가원(KISTEP)
URLhttps://www.data.go.kr/data/3034029/fileData.do

Alerts

출판년도 has constant value ""Constant
번호 has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:37:22.933044
Analysis finished2023-12-12 15:37:23.960534
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.5
Minimum1
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T00:37:24.062103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.55
Q143.75
median86.5
Q3129.25
95-th percentile163.45
Maximum172
Range171
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation49.796252
Coefficient of variation (CV)0.57567921
Kurtosis-1.2
Mean86.5
Median Absolute Deviation (MAD)43
Skewness0
Sum14878
Variance2479.6667
MonotonicityStrictly increasing
2023-12-13T00:37:24.261682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (162) 162
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%

서명
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:37:24.727751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length51
Mean length35.075581
Min length14

Characters and Unicode

Total characters6033
Distinct characters360
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

Unique172 ?
Unique (%)100.0%

Sample

1st row핵심사회이슈 해결을 위한 10대 실천과제별 실행계획 수립 연구
2nd row노벨과학상 수상 가능성 제고를 위한 세계 Top Class 연구자들의 연구역량 비교 분석
3rd row과학기술인 복지 증진을 위한 시스템 개선 연구
4th row과학기술 기반의 2030 미래 사회 변화 전망
5th row금속산업의 재도약 발판 마련을 위한 금속소재 분야 정부 R&D 투자방안
ValueCountFrequency (%)
연구 63
 
5.2%
및 41
 
3.4%
위한 40
 
3.3%
보고서 31
 
2.5%
25
 
2.0%
2014년도 23
 
1.9%
r&d 16
 
1.3%
방안 15
 
1.2%
예비타당성조사 15
 
1.2%
2015년도 14
 
1.1%
Other values (629) 939
76.8%
2023-12-13T00:37:25.479792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1338
 
22.2%
구 129
 
2.1%
사 125
 
2.1%
기 121
 
2.0%
연 113
 
1.9%
업 110
 
1.8%
성 82
 
1.4%
한 78
 
1.3%
술 73
 
1.2%
0 71
 
1.2%
Other values (350) 3793
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3883
64.4%
Space Separator 1338
 
22.2%
Decimal Number 276
 
4.6%
Uppercase Letter 185
 
3.1%
Lowercase Letter 181
 
3.0%
Other Punctuation 66
 
1.1%
Open Punctuation 40
 
0.7%
Close Punctuation 40
 
0.7%
Dash Punctuation 23
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 129
 
3.3%
사 125
 
3.2%
기 121
 
3.1%
연 113
 
2.9%
업 110
 
2.8%
성 82
 
2.1%
한 78
 
2.0%
술 73
 
1.9%
과 70
 
1.8%
정 68
 
1.8%
Other values (287) 2914
75.0%
Lowercase Letter
ValueCountFrequency (%)
a 23
12.7%
e 22
12.2%
n 17
9.4%
o 16
8.8%
r 14
7.7%
l 13
 
7.2%
t 13
 
7.2%
i 12
 
6.6%
s 10
 
5.5%
u 8
 
4.4%
Other values (11) 33
18.2%
Uppercase Letter
ValueCountFrequency (%)
D 34
18.4%
R 33
17.8%
I 25
13.5%
T 19
10.3%
S 14
7.6%
E 11
 
5.9%
C 9
 
4.9%
K 9
 
4.9%
P 9
 
4.9%
M 4
 
2.2%
Other values (9) 18
9.7%
Decimal Number
ValueCountFrequency (%)
0 71
25.7%
2 69
25.0%
1 67
24.3%
4 35
12.7%
5 27
 
9.8%
3 4
 
1.4%
6 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 34
51.5%
. 21
31.8%
' 3
 
4.5%
: 3
 
4.5%
, 3
 
4.5%
· 1
 
1.5%
/ 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 38
95.0%
[ 2
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 38
95.0%
] 2
 
5.0%
Space Separator
ValueCountFrequency (%)
1338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3883
64.4%
Common 1784
29.6%
Latin 366
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 129
 
3.3%
사 125
 
3.2%
기 121
 
3.1%
연 113
 
2.9%
업 110
 
2.8%
성 82
 
2.1%
한 78
 
2.0%
술 73
 
1.9%
과 70
 
1.8%
정 68
 
1.8%
Other values (287) 2914
75.0%
Latin
ValueCountFrequency (%)
D 34
 
9.3%
R 33
 
9.0%
I 25
 
6.8%
a 23
 
6.3%
e 22
 
6.0%
T 19
 
5.2%
n 17
 
4.6%
o 16
 
4.4%
S 14
 
3.8%
r 14
 
3.8%
Other values (30) 149
40.7%
Common
ValueCountFrequency (%)
1338
75.0%
0 71
 
4.0%
2 69
 
3.9%
1 67
 
3.8%
( 38
 
2.1%
) 38
 
2.1%
4 35
 
2.0%
& 34
 
1.9%
5 27
 
1.5%
- 23
 
1.3%
Other values (13) 44
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3883
64.4%
ASCII 2149
35.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1338
62.3%
0 71
 
3.3%
2 69
 
3.2%
1 67
 
3.1%
( 38
 
1.8%
) 38
 
1.8%
4 35
 
1.6%
D 34
 
1.6%
& 34
 
1.6%
R 33
 
1.5%
Other values (52) 392
 
18.2%
Hangul
ValueCountFrequency (%)
구 129
 
3.3%
사 125
 
3.2%
기 121
 
3.1%
연 113
 
2.9%
업 110
 
2.8%
성 82
 
2.1%
한 78
 
2.0%
술 73
 
1.9%
과 70
 
1.8%
정 68
 
1.8%
Other values (287) 2914
75.0%
None
ValueCountFrequency (%)
· 1
100.0%

저자
Text

Distinct126
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:37:26.044329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.5639535
Min length2

Characters and Unicode

Total characters1301
Distinct characters180
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)66.9%

Sample

1st row(주)기술과가치
2nd row한국연구재단
3rd row한국능률협회컨설팅
4th row과학기술정책연구원
5th row이윤빈 외
ValueCountFrequency (%)
한국과학기술기획평가원 33
 
13.4%
외 14
 
5.7%
과학기술정책연구원 5
 
2.0%
홍정석 4
 
1.6%
임성민 4
 
1.6%
임현 4
 
1.6%
한민규 4
 
1.6%
최주석 4
 
1.6%
신문봉 3
 
1.2%
전세림 3
 
1.2%
Other values (132) 168
68.3%
2023-12-13T00:37:26.658297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
9.1%
기 83
 
6.4%
학 56
 
4.3%
한 54
 
4.2%
원 49
 
3.8%
국 49
 
3.8%
과 47
 
3.6%
술 47
 
3.6%
정 39
 
3.0%
가 37
 
2.8%
Other values (170) 721
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1126
86.5%
Space Separator 119
 
9.1%
Lowercase Letter 36
 
2.8%
Uppercase Letter 11
 
0.8%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 83
 
7.4%
학 56
 
5.0%
한 54
 
4.8%
원 49
 
4.4%
국 49
 
4.4%
과 47
 
4.2%
술 47
 
4.2%
정 39
 
3.5%
가 37
 
3.3%
획 34
 
3.0%
Other values (142) 631
56.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
13.9%
o 4
11.1%
u 4
11.1%
r 3
8.3%
t 3
8.3%
l 3
8.3%
a 3
8.3%
g 2
 
5.6%
s 2
 
5.6%
i 2
 
5.6%
Other values (5) 5
13.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
18.2%
B 2
18.2%
R 1
9.1%
D 1
9.1%
J 1
9.1%
Y 1
9.1%
L 1
9.1%
T 1
9.1%
G 1
9.1%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1126
86.5%
Common 128
 
9.8%
Latin 47
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 83
 
7.4%
학 56
 
5.0%
한 54
 
4.8%
원 49
 
4.4%
국 49
 
4.4%
과 47
 
4.2%
술 47
 
4.2%
정 39
 
3.5%
가 37
 
3.3%
획 34
 
3.0%
Other values (142) 631
56.0%
Latin
ValueCountFrequency (%)
n 5
 
10.6%
o 4
 
8.5%
u 4
 
8.5%
r 3
 
6.4%
t 3
 
6.4%
l 3
 
6.4%
a 3
 
6.4%
C 2
 
4.3%
g 2
 
4.3%
B 2
 
4.3%
Other values (14) 16
34.0%
Common
ValueCountFrequency (%)
119
93.0%
( 4
 
3.1%
) 4
 
3.1%
& 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1126
86.5%
ASCII 175
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
68.0%
n 5
 
2.9%
o 4
 
2.3%
u 4
 
2.3%
( 4
 
2.3%
) 4
 
2.3%
r 3
 
1.7%
t 3
 
1.7%
l 3
 
1.7%
a 3
 
1.7%
Other values (18) 23
 
13.1%
Hangul
ValueCountFrequency (%)
기 83
 
7.4%
학 56
 
5.0%
한 54
 
4.8%
원 49
 
4.4%
국 49
 
4.4%
과 47
 
4.2%
술 47
 
4.2%
정 39
 
3.5%
가 37
 
3.3%
획 34
 
3.0%
Other values (142) 631
56.0%

출판사
Text

Distinct55
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:37:27.026150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33.5
Mean length15.395349
Min length8

Characters and Unicode

Total characters2648
Distinct characters142
Distinct categories7 ?
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 (%)28.5%

Sample

1st row(주)기술과가치;미래창조과학부
2nd row한국연구재단;미래창조과학부
3rd row한국능률협회컨설팅;미래창조과학부
4th row과학기술정책연구원;미래창조과학부
5th row한국과학기술기획평가원
ValueCountFrequency (%)
한국과학기술기획평가원 113
52.3%
한국과학기술기획평가원;미래창조과학부 25
 
11.6%
과학기술정책연구원;미래창조과학부 5
 
2.3%
한국산업기술진흥협회;미래창조과학부 3
 
1.4%
미래창조과학부 2
 
0.9%
국가과학기술인력개발원;미래창조과학부 2
 
0.9%
사)한국행정학회 2
 
0.9%
주)기술과가치;미래창조과학부 1
 
0.5%
맥스틴글로벌(주 1
 
0.5%
인천대학교 1
 
0.5%
Other values (61) 61
28.2%
2023-12-13T00:37:27.569411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 297
 
11.2%
학 233
 
8.8%
과 212
 
8.0%
국 168
 
6.3%
원 163
 
6.2%
한 161
 
6.1%
술 155
 
5.9%
가 145
 
5.5%
획 141
 
5.3%
평 140
 
5.3%
Other values (132) 833
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2441
92.2%
Other Punctuation 85
 
3.2%
Space Separator 45
 
1.7%
Lowercase Letter 36
 
1.4%
Uppercase Letter 19
 
0.7%
Close Punctuation 11
 
0.4%
Open Punctuation 11
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 297
12.2%
학 233
 
9.5%
과 212
 
8.7%
국 168
 
6.9%
원 163
 
6.7%
한 161
 
6.6%
술 155
 
6.3%
가 145
 
5.9%
획 141
 
5.8%
평 140
 
5.7%
Other values (100) 626
25.6%
Lowercase Letter
ValueCountFrequency (%)
n 5
13.9%
o 4
11.1%
u 4
11.1%
r 3
8.3%
a 3
8.3%
t 3
8.3%
l 3
8.3%
s 2
 
5.6%
i 2
 
5.6%
g 2
 
5.6%
Other values (5) 5
13.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
15.8%
C 3
15.8%
D 2
10.5%
K 2
10.5%
I 2
10.5%
T 1
 
5.3%
G 1
 
5.3%
A 1
 
5.3%
L 1
 
5.3%
R 1
 
5.3%
Other values (2) 2
10.5%
Other Punctuation
ValueCountFrequency (%)
; 84
98.8%
& 1
 
1.2%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2441
92.2%
Common 152
 
5.7%
Latin 55
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 297
12.2%
학 233
 
9.5%
과 212
 
8.7%
국 168
 
6.9%
원 163
 
6.7%
한 161
 
6.6%
술 155
 
6.3%
가 145
 
5.9%
획 141
 
5.8%
평 140
 
5.7%
Other values (100) 626
25.6%
Latin
ValueCountFrequency (%)
n 5
 
9.1%
o 4
 
7.3%
u 4
 
7.3%
r 3
 
5.5%
B 3
 
5.5%
a 3
 
5.5%
C 3
 
5.5%
t 3
 
5.5%
l 3
 
5.5%
s 2
 
3.6%
Other values (17) 22
40.0%
Common
ValueCountFrequency (%)
; 84
55.3%
45
29.6%
) 11
 
7.2%
( 11
 
7.2%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2441
92.2%
ASCII 207
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 297
12.2%
학 233
 
9.5%
과 212
 
8.7%
국 168
 
6.9%
원 163
 
6.7%
한 161
 
6.6%
술 155
 
6.3%
가 145
 
5.9%
획 141
 
5.8%
평 140
 
5.7%
Other values (100) 626
25.6%
ASCII
ValueCountFrequency (%)
; 84
40.6%
45
21.7%
) 11
 
5.3%
( 11
 
5.3%
n 5
 
2.4%
o 4
 
1.9%
u 4
 
1.9%
r 3
 
1.4%
B 3
 
1.4%
a 3
 
1.4%
Other values (22) 34
16.4%

출판년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2015
172 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 172
100.0%

Length

2023-12-13T00:37:27.749695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:37:27.883583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 172
100.0%

청구기호
Text

Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T00:37:28.090168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.424419
Min length12

Characters and Unicode

Total characters2309
Distinct characters32
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st row과기평 종합조정 15-43
2nd row과기평 종합조정 15-44
3rd row과기평 종합조정 15-41
4th row과기평 종합조정 15-42
5th row과기평 연구보고 15-023
ValueCountFrequency (%)
과기평 172
33.3%
종합조정 53
 
10.3%
기타 42
 
8.1%
연구보고 27
 
5.2%
예타자료 27
 
5.2%
ip 21
 
4.1%
15-03 5
 
1.0%
15-09 4
 
0.8%
15-19 4
 
0.8%
15-18 4
 
0.8%
Other values (94) 157
30.4%
2023-12-13T00:37:28.536959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
14.9%
1 231
 
10.0%
기 214
 
9.3%
5 195
 
8.4%
과 172
 
7.4%
평 172
 
7.4%
- 172
 
7.4%
0 81
 
3.5%
타 69
 
3.0%
조 55
 
2.4%
Other values (22) 604
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1036
44.9%
Decimal Number 715
31.0%
Space Separator 344
 
14.9%
Dash Punctuation 172
 
7.4%
Uppercase Letter 42
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 214
20.7%
과 172
16.6%
평 172
16.6%
타 69
 
6.7%
조 55
 
5.3%
종 53
 
5.1%
합 53
 
5.1%
정 53
 
5.1%
자 28
 
2.7%
료 28
 
2.7%
Other values (8) 139
13.4%
Decimal Number
ValueCountFrequency (%)
1 231
32.3%
5 195
27.3%
0 81
 
11.3%
2 47
 
6.6%
4 39
 
5.5%
3 38
 
5.3%
6 36
 
5.0%
7 18
 
2.5%
8 16
 
2.2%
9 14
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
I 21
50.0%
P 21
50.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1231
53.3%
Hangul 1036
44.9%
Latin 42
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 214
20.7%
과 172
16.6%
평 172
16.6%
타 69
 
6.7%
조 55
 
5.3%
종 53
 
5.1%
합 53
 
5.1%
정 53
 
5.1%
자 28
 
2.7%
료 28
 
2.7%
Other values (8) 139
13.4%
Common
ValueCountFrequency (%)
344
27.9%
1 231
18.8%
5 195
15.8%
- 172
14.0%
0 81
 
6.6%
2 47
 
3.8%
4 39
 
3.2%
3 38
 
3.1%
6 36
 
2.9%
7 18
 
1.5%
Other values (2) 30
 
2.4%
Latin
ValueCountFrequency (%)
I 21
50.0%
P 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1273
55.1%
Hangul 1036
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
27.0%
1 231
18.1%
5 195
15.3%
- 172
13.5%
0 81
 
6.4%
2 47
 
3.7%
4 39
 
3.1%
3 38
 
3.0%
6 36
 
2.8%
I 21
 
1.6%
Other values (4) 69
 
5.4%
Hangul
ValueCountFrequency (%)
기 214
20.7%
과 172
16.6%
평 172
16.6%
타 69
 
6.7%
조 55
 
5.3%
종 53
 
5.1%
합 53
 
5.1%
정 53
 
5.1%
자 28
 
2.7%
료 28
 
2.7%
Other values (8) 139
13.4%

Interactions

2023-12-13T00:37:23.537979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:37:28.675900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판사
번호1.0000.617
출판사0.6171.000

Missing values

2023-12-13T00:37:23.735756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:37:23.900661image/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

번호서명저자출판사출판년도청구기호
01핵심사회이슈 해결을 위한 10대 실천과제별 실행계획 수립 연구(주)기술과가치(주)기술과가치;미래창조과학부2015과기평 종합조정 15-43
12노벨과학상 수상 가능성 제고를 위한 세계 Top Class 연구자들의 연구역량 비교 분석한국연구재단한국연구재단;미래창조과학부2015과기평 종합조정 15-44
23과학기술인 복지 증진을 위한 시스템 개선 연구한국능률협회컨설팅한국능률협회컨설팅;미래창조과학부2015과기평 종합조정 15-41
34과학기술 기반의 2030 미래 사회 변화 전망과학기술정책연구원과학기술정책연구원;미래창조과학부2015과기평 종합조정 15-42
45금속산업의 재도약 발판 마련을 위한 금속소재 분야 정부 R&D 투자방안이윤빈 외한국과학기술기획평가원2015과기평 연구보고 15-023
56국가연구개발사업 성과평가 및 성과관리 교육 훈련 추진 기획국가과학기술인력개발원국가과학기술인력개발원;미래창조과학부2015과기평 종합조정 15-35
67K2 Base 2014 - 과학기술정책의 과학화 기반 구축사업전승수한국과학기술기획평가원2015과기평 연구보고 15-019
782014년 R&D사업 예비타당성조사 일관성 제고를 위한 조사 체계 개선 방향 연구황지호한국과학기술기획평가원2015과기평 연구보고 15-028
892014 과학기술통계백서한국과학기술기획평가원한국과학기술기획평가원2015과기평 연구보고 15-051
910재난재해 대응 기술개발 로드맵 수립 및 과학기술 역할강화 실천전략 수립(주)테크노베이션파트너스(주)테크노베이션파트너스;미래창조과학부2015과기평 종합조정 15-40
번호서명저자출판사출판년도청구기호
162163미래 산업 대응 소재의 정부 R&D 투자 방향용태석한국과학기술기획평가원2015과기평 IP 15-19
163164Creative KISTEP Fellowship Program김대진한국과학기술기획평가원2015과기평 IP 15-20
164165KISTEP 선정 미래유망기술 분야 창업 및 취업 지원방안 연구이상희한국과학기술기획평가원; 녹색삶지식경제연구원2015과기평 기타 15-39
165166미래한국을 열어갈 National Initiative 2025이흥권 외한국과학기술기획평가원2015과기평 IP 16-01
1661672015~2019년 국가재정운용계획 - R&D분야 보고서국가재정운용계획 R&D분과위원회국가재정운용계획 R&D분과위원회2015과기평 기타 16-04
1671682015년도 국가연구개발사업 평가 - 기술성평가한국과학기술기획평가원미래창조과학부; 한국과학기술기획평가원2015과기평 기타 15-38
168169국가 R&D사업관리서비스 구축에 관한 연구전승수 외한국과학기술기획평가원2015과기평 기타 16-05
169170과학기술규제 현황 조사.분석 연구최유성한국과학기술기획평가원; 한국행정연구원2015과기평 기타 15-40
1701712013년도 국가연구개발사업 성과분석 보고서한국과학기술기획평가원한국과학기술기획평가원2015과기평 연구보고 15-006
1711722015년 지역과학기술혁신역량평가안지혜한국과학기술기획평가원2015과기평 연구보고 16-076