Overview

Dataset statistics

Number of variables6
Number of observations1970
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.3 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text4

Dataset

Description한국생명공학연구원 연구성과(논문, 특허, 연구보고서) 리스트 컬럼 : 순번, 등록번호, 서명, 저자, 출판사, 출판년도, 분류
Author한국생명공학연구원
URLhttps://www.data.go.kr/data/3034128/fileData.do

Alerts

등록번호 is highly overall correlated with 출판년High correlation
출판년 is highly overall correlated with 등록번호High correlation
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:05:46.676408
Analysis finished2023-12-12 16:05:48.022544
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1970
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7003831.2
Minimum7000036
Maximum7006979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2023-12-13T01:05:48.095555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7000036
5-th percentile7000208.9
Q17000975.5
median7004173.5
Q37006419.8
95-th percentile7006875.5
Maximum7006979
Range6943
Interquartile range (IQR)5444.25

Descriptive statistics

Standard deviation2446.909
Coefficient of variation (CV)0.00034936721
Kurtosis-1.4338112
Mean7003831.2
Median Absolute Deviation (MAD)2385
Skewness-0.23835608
Sum1.3797548 × 1010
Variance5987363.5
MonotonicityStrictly increasing
2023-12-13T01:05:48.255212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7000036 1
 
0.1%
7005844 1
 
0.1%
7005838 1
 
0.1%
7005833 1
 
0.1%
7005831 1
 
0.1%
7005829 1
 
0.1%
7005827 1
 
0.1%
7005825 1
 
0.1%
7005821 1
 
0.1%
7005808 1
 
0.1%
Other values (1960) 1960
99.5%
ValueCountFrequency (%)
7000036 1
0.1%
7000042 1
0.1%
7000044 1
0.1%
7000049 1
0.1%
7000050 1
0.1%
7000053 1
0.1%
7000057 1
0.1%
7000059 1
0.1%
7000063 1
0.1%
7000066 1
0.1%
ValueCountFrequency (%)
7006979 1
0.1%
7006978 1
0.1%
7006977 1
0.1%
7006976 1
0.1%
7006975 1
0.1%
7006974 1
0.1%
7006973 1
0.1%
7006972 1
0.1%
7006971 1
0.1%
7006970 1
0.1%

서명
Text

Distinct1905
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-12-13T01:05:48.552770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length282
Median length182
Mean length103.05838
Min length9

Characters and Unicode

Total characters203025
Distinct characters813
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1856 ?
Unique (%)94.2%

Sample

1st row핵산 조작에 의한 항바이러스성 식물의 개발, 2차년도 최종보고서 = Engineering virus-resistant plants by means of DNA manipulation
2nd row천연물 이용 간염치료제 개발에 관한 연구, 최종보고서 = A study on the development of therapeutic agent for hepatitis B viral infection from natural products
3rd row신약효능 검사용 베타수용체 Kit 개발연구, 2차년도 최종보고서 = Study on the development of β-adrenergic recetor Kit as the primary new drug screen
4th row미생물 자원탐색을 통한 신규천연 생리활성물질의 개발, 최종보고서 : 신규 항진균 물질의 개발(4) = Search and discovery of antifungal compounds from microbial sources
5th row신약효능 검사용 베타수용체 Kit 개발연구, 제3차년도 최종보고서 = Study on the development of β-adrenergic recetor Kit as the primary new drug screen
ValueCountFrequency (%)
1949
 
5.8%
of 1851
 
5.5%
the 782
 
2.3%
development 740
 
2.2%
and 660
 
2.0%
for 654
 
1.9%
연구 640
 
1.9%
on 565
 
1.7%
및 543
 
1.6%
관한 474
 
1.4%
Other values (7053) 24864
73.7%
2023-12-13T01:05:49.031124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31764
 
15.6%
e 12764
 
6.3%
o 11682
 
5.8%
n 10193
 
5.0%
t 9765
 
4.8%
i 9750
 
4.8%
a 8168
 
4.0%
s 7036
 
3.5%
r 6826
 
3.4%
c 5582
 
2.7%
Other values (803) 89495
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117130
57.7%
Other Letter 43155
 
21.3%
Space Separator 31764
 
15.6%
Uppercase Letter 5315
 
2.6%
Math Symbol 1716
 
0.8%
Other Punctuation 1045
 
0.5%
Decimal Number 1038
 
0.5%
Dash Punctuation 680
 
0.3%
Close Punctuation 576
 
0.3%
Open Punctuation 576
 
0.3%
Other values (3) 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 1256
 
2.9%
의 1233
 
2.9%
기 1208
 
2.8%
구 1198
 
2.8%
발 1123
 
2.6%
연 1104
 
2.6%
생 956
 
2.2%
개 938
 
2.2%
물 823
 
1.9%
에 823
 
1.9%
Other values (710) 32493
75.3%
Lowercase Letter
ValueCountFrequency (%)
e 12764
10.9%
o 11682
 
10.0%
n 10193
 
8.7%
t 9765
 
8.3%
i 9750
 
8.3%
a 8168
 
7.0%
s 7036
 
6.0%
r 6826
 
5.8%
c 5582
 
4.8%
l 5319
 
4.5%
Other values (22) 30045
25.7%
Uppercase Letter
ValueCountFrequency (%)
I 962
18.1%
D 721
13.6%
A 512
9.6%
S 512
9.6%
B 291
 
5.5%
C 282
 
5.3%
P 261
 
4.9%
R 207
 
3.9%
T 198
 
3.7%
M 171
 
3.2%
Other values (17) 1198
22.5%
Decimal Number
ValueCountFrequency (%)
2 274
26.4%
1 269
25.9%
0 196
18.9%
3 90
 
8.7%
9 51
 
4.9%
4 45
 
4.3%
5 33
 
3.2%
6 31
 
3.0%
7 25
 
2.4%
8 24
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 594
56.8%
: 202
 
19.3%
& 76
 
7.3%
/ 59
 
5.6%
. 45
 
4.3%
· 33
 
3.2%
' 21
 
2.0%
" 9
 
0.9%
; 6
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 16
57.1%
Ⅰ 7
25.0%
Ⅲ 4
 
14.3%
Ⅳ 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
= 1708
99.5%
~ 5
 
0.3%
+ 3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 567
98.4%
] 9
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 567
98.4%
[ 9
 
1.6%
Space Separator
ValueCountFrequency (%)
31764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 680
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 122421
60.3%
Hangul 42437
 
20.9%
Common 37397
 
18.4%
Han 718
 
0.4%
Greek 52
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 1256
 
3.0%
의 1233
 
2.9%
기 1208
 
2.8%
구 1198
 
2.8%
발 1123
 
2.6%
연 1104
 
2.6%
생 956
 
2.3%
개 938
 
2.2%
물 823
 
1.9%
에 823
 
1.9%
Other values (536) 31775
74.9%
Han
ValueCountFrequency (%)
生 39
 
5.4%
物 25
 
3.5%
究 25
 
3.5%
硏 25
 
3.5%
學 21
 
2.9%
産 19
 
2.6%
發 19
 
2.6%
工 19
 
2.6%
技 17
 
2.4%
開 16
 
2.2%
Other values (164) 493
68.7%
Latin
ValueCountFrequency (%)
e 12764
 
10.4%
o 11682
 
9.5%
n 10193
 
8.3%
t 9765
 
8.0%
i 9750
 
8.0%
a 8168
 
6.7%
s 7036
 
5.7%
r 6826
 
5.6%
c 5582
 
4.6%
l 5319
 
4.3%
Other values (47) 35336
28.9%
Common
ValueCountFrequency (%)
31764
84.9%
= 1708
 
4.6%
- 680
 
1.8%
, 594
 
1.6%
) 567
 
1.5%
( 567
 
1.5%
2 274
 
0.7%
1 269
 
0.7%
: 202
 
0.5%
0 196
 
0.5%
Other values (20) 576
 
1.5%
Greek
ValueCountFrequency (%)
β 29
55.8%
α 14
26.9%
γ 4
 
7.7%
κ 2
 
3.8%
Β 2
 
3.8%
μ 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159745
78.7%
Hangul 42398
 
20.9%
CJK 716
 
0.4%
None 96
 
< 0.1%
Compat Jamo 39
 
< 0.1%
Number Forms 28
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31764
19.9%
e 12764
 
8.0%
o 11682
 
7.3%
n 10193
 
6.4%
t 9765
 
6.1%
i 9750
 
6.1%
a 8168
 
5.1%
s 7036
 
4.4%
r 6826
 
4.3%
c 5582
 
3.5%
Other values (69) 46215
28.9%
Hangul
ValueCountFrequency (%)
한 1256
 
3.0%
의 1233
 
2.9%
기 1208
 
2.8%
구 1198
 
2.8%
발 1123
 
2.6%
연 1104
 
2.6%
생 956
 
2.3%
개 938
 
2.2%
물 823
 
1.9%
에 823
 
1.9%
Other values (535) 31736
74.9%
CJK
ValueCountFrequency (%)
生 39
 
5.4%
物 25
 
3.5%
究 25
 
3.5%
硏 25
 
3.5%
學 21
 
2.9%
産 19
 
2.7%
發 19
 
2.7%
工 19
 
2.7%
技 17
 
2.4%
開 16
 
2.2%
Other values (163) 491
68.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 39
100.0%
None
ValueCountFrequency (%)
· 33
34.4%
β 29
30.2%
α 14
14.6%
ß 10
 
10.4%
γ 4
 
4.2%
κ 2
 
2.1%
Β 2
 
2.1%
μ 1
 
1.0%
₂ 1
 
1.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 16
57.1%
Ⅰ 7
25.0%
Ⅲ 4
 
14.3%
Ⅳ 1
 
3.6%
CJK Compat Ideographs
ValueCountFrequency (%)
利 2
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
100.0%

저자
Text

Distinct400
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-12-13T01:05:49.334491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.1385787
Min length2

Characters and Unicode

Total characters6183
Distinct characters213
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

Unique197 ?
Unique (%)10.0%

Sample

1st row홍주봉
2nd row김승호
3rd row함경수
4th row복성해
5th row김길룡
ValueCountFrequency (%)
박영훈 69
 
3.5%
한문희 51
 
2.6%
정태화 50
 
2.5%
이상기 49
 
2.5%
민태익 42
 
2.1%
이대실 41
 
2.1%
이영익 40
 
2.0%
유익동 38
 
1.9%
고영희 36
 
1.8%
유장렬 36
 
1.8%
Other values (395) 1524
77.1%
2023-12-13T01:05:49.789313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 317
 
5.1%
김 274
 
4.4%
영 227
 
3.7%
정 227
 
3.7%
박 202
 
3.3%
희 167
 
2.7%
유 154
 
2.5%
태 140
 
2.3%
익 127
 
2.1%
호 118
 
1.9%
Other values (203) 4230
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6148
99.4%
Lowercase Letter 22
 
0.4%
Space Separator 6
 
0.1%
Uppercase Letter 5
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 317
 
5.2%
김 274
 
4.5%
영 227
 
3.7%
정 227
 
3.7%
박 202
 
3.3%
희 167
 
2.7%
유 154
 
2.5%
태 140
 
2.3%
익 127
 
2.1%
호 118
 
1.9%
Other values (182) 4195
68.2%
Lowercase Letter
ValueCountFrequency (%)
n 4
18.2%
o 4
18.2%
s 2
9.1%
r 2
9.1%
i 1
 
4.5%
k 1
 
4.5%
a 1
 
4.5%
y 1
 
4.5%
d 1
 
4.5%
e 1
 
4.5%
Other values (4) 4
18.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
40.0%
R 1
20.0%
L 1
20.0%
Y 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6148
99.4%
Latin 27
 
0.4%
Common 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 317
 
5.2%
김 274
 
4.5%
영 227
 
3.7%
정 227
 
3.7%
박 202
 
3.3%
희 167
 
2.7%
유 154
 
2.5%
태 140
 
2.3%
익 127
 
2.1%
호 118
 
1.9%
Other values (182) 4195
68.2%
Latin
ValueCountFrequency (%)
n 4
14.8%
o 4
14.8%
s 2
 
7.4%
r 2
 
7.4%
E 2
 
7.4%
i 1
 
3.7%
k 1
 
3.7%
R 1
 
3.7%
a 1
 
3.7%
y 1
 
3.7%
Other values (8) 8
29.6%
Common
ValueCountFrequency (%)
6
75.0%
, 1
 
12.5%
& 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6148
99.4%
ASCII 35
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 317
 
5.2%
김 274
 
4.5%
영 227
 
3.7%
정 227
 
3.7%
박 202
 
3.3%
희 167
 
2.7%
유 154
 
2.5%
태 140
 
2.3%
익 127
 
2.1%
호 118
 
1.9%
Other values (182) 4195
68.2%
ASCII
ValueCountFrequency (%)
6
17.1%
n 4
 
11.4%
o 4
 
11.4%
s 2
 
5.7%
r 2
 
5.7%
E 2
 
5.7%
, 1
 
2.9%
i 1
 
2.9%
k 1
 
2.9%
R 1
 
2.9%
Other values (11) 11
31.4%

출판사
Text

Distinct106
Distinct (%)5.4%
Missing1
Missing (%)0.1%
Memory size15.5 KiB
2023-12-13T01:05:49.981210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length5
Mean length6.2331133
Min length3

Characters and Unicode

Total characters12273
Distinct characters162
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)2.4%

Sample

1st row과학기술처
2nd row과학기술처
3rd row과학기술처
4th row과학기술처
5th row과학기술처
ValueCountFrequency (%)
과학기술처 789
39.3%
과학기술부 288
 
14.3%
한국생명공학연구원 162
 
8.1%
생명공학연구소 101
 
5.0%
교육과학기술부 85
 
4.2%
한국환경정책ㆍ평가연구원 43
 
2.1%
보건복지부 37
 
1.8%
한국과학기술기획평가원 35
 
1.7%
미래창조과학부 31
 
1.5%
산림청 30
 
1.5%
Other values (99) 409
20.3%
2023-12-13T01:05:50.326605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1606
13.1%
기 1346
 
11.0%
과 1298
 
10.6%
술 1287
 
10.5%
처 790
 
6.4%
부 559
 
4.6%
연 416
 
3.4%
구 414
 
3.4%
원 363
 
3.0%
국 327
 
2.7%
Other values (152) 3867
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12199
99.4%
Space Separator 41
 
0.3%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Lowercase Letter 8
 
0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1606
13.2%
기 1346
 
11.0%
과 1298
 
10.6%
술 1287
 
10.6%
처 790
 
6.5%
부 559
 
4.6%
연 416
 
3.4%
구 414
 
3.4%
원 363
 
3.0%
국 327
 
2.7%
Other values (139) 3793
31.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
25.0%
r 1
12.5%
s 1
12.5%
t 1
12.5%
o 1
12.5%
u 1
12.5%
g 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12130
98.8%
Han 69
 
0.6%
Common 64
 
0.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1606
13.2%
기 1346
 
11.1%
과 1298
 
10.7%
술 1287
 
10.6%
처 790
 
6.5%
부 559
 
4.6%
연 416
 
3.4%
구 414
 
3.4%
원 363
 
3.0%
국 327
 
2.7%
Other values (126) 3724
30.7%
Han
ValueCountFrequency (%)
學 13
18.8%
技 11
15.9%
術 11
15.9%
科 11
15.9%
處 9
13.0%
韓 2
 
2.9%
國 2
 
2.9%
工 2
 
2.9%
院 2
 
2.9%
傳 2
 
2.9%
Other values (3) 4
 
5.8%
Latin
ValueCountFrequency (%)
n 2
20.0%
r 1
10.0%
E 1
10.0%
s 1
10.0%
t 1
10.0%
Y 1
10.0%
o 1
10.0%
u 1
10.0%
g 1
10.0%
Common
ValueCountFrequency (%)
41
64.1%
( 11
 
17.2%
) 11
 
17.2%
& 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12087
98.5%
ASCII 74
 
0.6%
CJK 69
 
0.6%
Compat Jamo 43
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1606
13.3%
기 1346
 
11.1%
과 1298
 
10.7%
술 1287
 
10.6%
처 790
 
6.5%
부 559
 
4.6%
연 416
 
3.4%
구 414
 
3.4%
원 363
 
3.0%
국 327
 
2.7%
Other values (125) 3681
30.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 43
100.0%
ASCII
ValueCountFrequency (%)
41
55.4%
( 11
 
14.9%
) 11
 
14.9%
n 2
 
2.7%
r 1
 
1.4%
E 1
 
1.4%
s 1
 
1.4%
t 1
 
1.4%
& 1
 
1.4%
Y 1
 
1.4%
Other values (3) 3
 
4.1%
CJK
ValueCountFrequency (%)
學 13
18.8%
技 11
15.9%
術 11
15.9%
科 11
15.9%
處 9
13.0%
韓 2
 
2.9%
國 2
 
2.9%
工 2
 
2.9%
院 2
 
2.9%
傳 2
 
2.9%
Other values (3) 4
 
5.8%

출판년
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1999.6726
Minimum1983
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2023-12-13T01:05:50.464851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1983
5-th percentile1987
Q11992
median1998
Q32006
95-th percentile2015
Maximum2022
Range39
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.8669936
Coefficient of variation (CV)0.0044342227
Kurtosis-1.0113105
Mean1999.6726
Median Absolute Deviation (MAD)7
Skewness0.31320955
Sum3939355
Variance78.623575
MonotonicityNot monotonic
2023-12-13T01:05:50.838175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2000 102
 
5.2%
1997 96
 
4.9%
1993 96
 
4.9%
1992 94
 
4.8%
2011 92
 
4.7%
1994 91
 
4.6%
1995 91
 
4.6%
1991 86
 
4.4%
2014 81
 
4.1%
1989 76
 
3.9%
Other values (30) 1065
54.1%
ValueCountFrequency (%)
1983 7
 
0.4%
1984 10
 
0.5%
1985 9
 
0.5%
1986 38
1.9%
1987 48
2.4%
1988 64
3.2%
1989 76
3.9%
1990 73
3.7%
1991 86
4.4%
1992 94
4.8%
ValueCountFrequency (%)
2022 1
 
0.1%
2021 1
 
0.1%
2020 6
 
0.3%
2019 1
 
0.1%
2018 7
 
0.4%
2017 10
 
0.5%
2016 10
 
0.5%
2015 68
3.5%
2014 81
4.1%
2013 29
 
1.5%

분류기호
Text

Distinct1955
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-12-13T01:05:51.128725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.728934
Min length10

Characters and Unicode

Total characters23106
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1945 ?
Unique (%)98.7%

Sample

1st rowKRIB 91- 13
2nd rowKRIB 93- 4
3rd rowKRIB 92- 12
4th rowKRIB 92- 8
5th rowKRIB 93- 2
ValueCountFrequency (%)
krib 1761
29.8%
93 102
 
1.7%
2000 102
 
1.7%
92 101
 
1.7%
97 98
 
1.7%
94 97
 
1.6%
95 96
 
1.6%
91 93
 
1.6%
2011 89
 
1.5%
89 83
 
1.4%
Other values (143) 3290
55.6%
2023-12-13T01:05:51.524857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3942
17.1%
- 1974
8.5%
I 1931
8.4%
K 1871
8.1%
0 1839
8.0%
R 1767
7.6%
B 1761
7.6%
2 1649
7.1%
1 1194
 
5.2%
9 1166
 
5.0%
Other values (23) 4012
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9286
40.2%
Uppercase Letter 7900
34.2%
Space Separator 3942
17.1%
Dash Punctuation 1974
 
8.5%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 1931
24.4%
K 1871
23.7%
R 1767
22.4%
B 1761
22.3%
E 149
 
1.9%
T 108
 
1.4%
S 59
 
0.7%
P 50
 
0.6%
C 50
 
0.6%
N 34
 
0.4%
Other values (8) 120
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 1839
19.8%
2 1649
17.8%
1 1194
12.9%
9 1166
12.6%
8 678
 
7.3%
3 651
 
7.0%
4 635
 
6.8%
5 562
 
6.1%
6 466
 
5.0%
7 446
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
p 2
50.0%
l 1
25.0%
u 1
25.0%
Space Separator
ValueCountFrequency (%)
3942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15202
65.8%
Latin 7904
34.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 1931
24.4%
K 1871
23.7%
R 1767
22.4%
B 1761
22.3%
E 149
 
1.9%
T 108
 
1.4%
S 59
 
0.7%
P 50
 
0.6%
C 50
 
0.6%
N 34
 
0.4%
Other values (11) 124
 
1.6%
Common
ValueCountFrequency (%)
3942
25.9%
- 1974
13.0%
0 1839
12.1%
2 1649
10.8%
1 1194
 
7.9%
9 1166
 
7.7%
8 678
 
4.5%
3 651
 
4.3%
4 635
 
4.2%
5 562
 
3.7%
Other values (2) 912
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3942
17.1%
- 1974
8.5%
I 1931
8.4%
K 1871
8.1%
0 1839
8.0%
R 1767
7.6%
B 1761
7.6%
2 1649
7.1%
1 1194
 
5.2%
9 1166
 
5.0%
Other values (23) 4012
17.4%

Interactions

2023-12-13T01:05:47.618748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.395112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.734113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:05:47.504769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:05:51.615513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호출판년
등록번호1.0000.913
출판년0.9131.000
2023-12-13T01:05:51.690828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호출판년
등록번호1.0000.797
출판년0.7971.000

Missing values

2023-12-13T01:05:47.882007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:05:47.982890image/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

등록번호서명저자출판사출판년분류기호
07000036핵산 조작에 의한 항바이러스성 식물의 개발, 2차년도 최종보고서 = Engineering virus-resistant plants by means of DNA manipulation홍주봉과학기술처1991KRIB 91- 13
17000042천연물 이용 간염치료제 개발에 관한 연구, 최종보고서 = A study on the development of therapeutic agent for hepatitis B viral infection from natural products김승호과학기술처1993KRIB 93- 4
27000044신약효능 검사용 베타수용체 Kit 개발연구, 2차년도 최종보고서 = Study on the development of β-adrenergic recetor Kit as the primary new drug screen함경수과학기술처1992KRIB 92- 12
37000049미생물 자원탐색을 통한 신규천연 생리활성물질의 개발, 최종보고서 : 신규 항진균 물질의 개발(4) = Search and discovery of antifungal compounds from microbial sources복성해과학기술처1992KRIB 92- 8
47000050신약효능 검사용 베타수용체 Kit 개발연구, 제3차년도 최종보고서 = Study on the development of β-adrenergic recetor Kit as the primary new drug screen김길룡과학기술처1993KRIB 93- 2
57000053당근과 人蔘의 原形質體 融合에 의한 雜種植物 생산, 제3차년도 최종보고서 = Somatic hydridization of carrot and ginseng유장열과학기술처1992KRIB 92- 5
67000057單子葉 作物의 人工種子 生産모델 시스템 開發, 최종보고서 = Development of model systems for producing artificial seeds in monocotyledonous crops유장열과학기술처1992KRIB 92- 4
77000059미생물 공학을 이용한 신규 무공해 살균제 개발(2), 최종보고서 = Development of new bio-fungicide by microbial engineering복성해과학기술처1992KRIB 92- 7
87000063인터루킨 - 1 활성저해인자에 관한 연구, 3차년도 최종보고서 = A study on the partial purification and characterization of interleukin-1 inhibitor최인성과학기술처1992KRIB 92- 18
97000066신물질 검색 데이타베이스 시스템 개발, 연차보고서 = Development of database search system for new bioactive compounds박용화과학기술처1992KRIB 92- 17
등록번호서명저자출판사출판년분류기호
19607006970생명공학연구원 오창캠퍼스 설립에 따른 조사분석 : 정부정책 및 충북지역 BT환경분석노근호충북개발연구원2003KRIB 2003- 66
19617006971생명(연) 역할정립 및 연구사업의 전략적 추진 방안 도출 연구 = A study on repositioning of KRIBB's function & making strategic scheme이경광기초기술연구회2004KRIB 2004- 55
19627006972바이오안전성정보센터 기반구축사업에 관한 2004년도 보고서장호민산업자원부2005KRIB 2005- 42
19637006973한의약 R&D 중장기 육성.발전 기획 연구 = A planning study on the long-term growth and development of traditional medicine R&D헌병환보건복지가족부2008KRIB 2008- 41
19647006974제약산업 발전방안에 대한 기획 연구 = Studies on the growth of pharmaceutical industries헌병환보건복지가족부2009KRIB 2009- 26
19657006975인공단백질 생산공정 기술개발 = Process development for the production of artificial proteins김익환생명공학연구소1996KRIB 96- 44
19667006976생애주기에 따른 한국인 남녀의 노화 연구 : 생체 적응 부하지표를 중심으로허종호국회미래연구원2020ETC 2020- 1
19677006977세계적 감염병과 사회변화 : 코로나19 이후의 세계박성원국회미래연구원2020ETC 2020- 2
196870069782021년 지역 과학기술혁신역량평가 : Regional composite science and technology innovation index 2021안지혜한국과학기술기획평가원2022KISTEP 2021 -1
19697006979국가생물다양성 전략-관리지표-이행평가-실효성평가 통합시스템 구축 방안 연구구경아한국환경정책ㆍ평가연구원2021KEI 2021- 01