Overview

Dataset statistics

Number of variables10
Number of observations4137
Missing cells8704
Missing cells (%)21.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory327.4 KiB
Average record size in memory81.0 B

Variable types

Text9
Numeric1

Dataset

Description한국원자력연구원_방사선 및 방사선 조사 관련 논문 목록 데이터 입니다. 데이터 칼럼 리스트는 원문명, 게재지, 원문저자, 게재년도, 원문 링크, Material And Method, 키워드, 권, 호, 페이지 입니다.(방사선 및 방사선 조사 분야 논문 목록)
Author한국원자력연구원
URLhttps://www.data.go.kr/data/15068020/fileData.do

Alerts

소재 및 방법론 has 3960 (95.7%) missing valuesMissing
키워드 has 2005 (48.5%) missing valuesMissing
권 has 770 (18.6%) missing valuesMissing
호 has 1229 (29.7%) missing valuesMissing
페이지 has 740 (17.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:21:13.765883
Analysis finished2023-12-12 22:21:15.865962
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

원문명
Text

Distinct4134
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2023-12-13T07:21:16.071007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length167
Mean length94.680203
Min length10

Characters and Unicode

Total characters391692
Distinct characters688
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4131 ?
Unique (%)99.9%

Sample

1st rowA comparative study of the effect of gamma and electron beam irradiation on the optical and structural properties of polyurethane
2nd rowAn electron paramagnetic resonance study of PP and PP/SBS blends irradiated with gamma rays
3rd rowEffect of organoclay loading and electron beam irradiation on the physicomechanical properties of lowdensity polyethylene/ethylenevinyl acetate blend
4th rowPotential Increase in Fruit Fly (Diptera: Tephritidae) Interceptions Using Ionizing Irradiation Phytosanitary Treatments
5th rowThe Effect of Ionizing Radiation on the Microbiological Content and Volatile Constituents of Spices
ValueCountFrequency (%)
of 4734
 
8.6%
and 2356
 
4.3%
on 1684
 
3.1%
irradiation 1561
 
2.9%
gamma 1246
 
2.3%
the 1238
 
2.3%
in 964
 
1.8%
effect 806
 
1.5%
radiation 721
 
1.3%
by 590
 
1.1%
Other values (8213) 38831
70.9%
2023-12-13T07:21:16.554764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51619
 
13.2%
a 29881
 
7.6%
i 28513
 
7.3%
e 28362
 
7.2%
o 25837
 
6.6%
t 23036
 
5.9%
n 22035
 
5.6%
r 20906
 
5.3%
s 13422
 
3.4%
l 12168
 
3.1%
Other values (678) 135913
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 288712
73.7%
Space Separator 51619
 
13.2%
Uppercase Letter 27307
 
7.0%
Other Letter 17358
 
4.4%
Dash Punctuation 2039
 
0.5%
Other Punctuation 1300
 
0.3%
Open Punctuation 1204
 
0.3%
Close Punctuation 1204
 
0.3%
Decimal Number 836
 
0.2%
Final Punctuation 32
 
< 0.1%
Other values (6) 81
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 868
 
5.0%
사 742
 
4.3%
선 704
 
4.1%
조 646
 
3.7%
에 478
 
2.8%
성 458
 
2.6%
감 398
 
2.3%
한 389
 
2.2%
마 387
 
2.2%
방 319
 
1.8%
Other values (571) 11969
69.0%
Lowercase Letter
ValueCountFrequency (%)
a 29881
10.3%
i 28513
 
9.9%
e 28362
 
9.8%
o 25837
 
8.9%
t 23036
 
8.0%
n 22035
 
7.6%
r 20906
 
7.2%
s 13422
 
4.6%
l 12168
 
4.2%
d 12132
 
4.2%
Other values (22) 72420
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 3035
 
11.1%
I 2416
 
8.8%
A 2098
 
7.7%
S 1830
 
6.7%
P 1804
 
6.6%
C 1779
 
6.5%
T 1777
 
6.5%
R 1615
 
5.9%
L 1167
 
4.3%
M 1165
 
4.3%
Other values (18) 8621
31.6%
Other Punctuation
ValueCountFrequency (%)
: 491
37.8%
. 481
37.0%
/ 195
 
15.0%
; 37
 
2.8%
& 28
 
2.2%
† 21
 
1.6%
' 14
 
1.1%
* 10
 
0.8%
· 8
 
0.6%
" 6
 
0.5%
Other values (4) 9
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 191
22.8%
7 165
19.7%
0 114
13.6%
5 110
13.2%
2 77
9.2%
6 57
 
6.8%
3 45
 
5.4%
4 37
 
4.4%
9 22
 
2.6%
8 18
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 16
76.2%
± 2
 
9.5%
× 2
 
9.5%
~ 1
 
4.8%
Other Symbol
ValueCountFrequency (%)
° 13
72.2%
℃ 4
 
22.2%
☆ 1
 
5.6%
Other Number
ValueCountFrequency (%)
₃ 5
55.6%
₁ 2
 
22.2%
₂ 2
 
22.2%
Open Punctuation
ValueCountFrequency (%)
( 1195
99.3%
[ 9
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 1195
99.3%
] 9
 
0.7%
Final Punctuation
ValueCountFrequency (%)
’ 26
81.2%
” 6
 
18.8%
Initial Punctuation
ValueCountFrequency (%)
‘ 21
77.8%
“ 6
 
22.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
51619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2039
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 315775
80.6%
Common 58312
 
14.9%
Hangul 17139
 
4.4%
Greek 247
 
0.1%
Han 219
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 868
 
5.1%
사 742
 
4.3%
선 704
 
4.1%
조 646
 
3.8%
에 478
 
2.8%
성 458
 
2.7%
감 398
 
2.3%
한 389
 
2.3%
마 387
 
2.3%
방 319
 
1.9%
Other values (470) 11750
68.6%
Han
ValueCountFrequency (%)
射 20
 
9.1%
線 17
 
7.8%
放 12
 
5.5%
照 9
 
4.1%
貯 8
 
3.7%
藏 8
 
3.7%
生 6
 
2.7%
影 6
 
2.7%
性 5
 
2.3%
期 3
 
1.4%
Other values (91) 125
57.1%
Latin
ValueCountFrequency (%)
a 29881
 
9.5%
i 28513
 
9.0%
e 28362
 
9.0%
o 25837
 
8.2%
t 23036
 
7.3%
n 22035
 
7.0%
r 20906
 
6.6%
s 13422
 
4.3%
l 12168
 
3.9%
d 12132
 
3.8%
Other values (45) 99483
31.5%
Common
ValueCountFrequency (%)
51619
88.5%
- 2039
 
3.5%
( 1195
 
2.0%
) 1195
 
2.0%
: 491
 
0.8%
. 481
 
0.8%
/ 195
 
0.3%
1 191
 
0.3%
7 165
 
0.3%
0 114
 
0.2%
Other values (35) 627
 
1.1%
Greek
ValueCountFrequency (%)
γ 212
85.8%
α 20
 
8.1%
β 11
 
4.5%
λ 1
 
0.4%
Γ 1
 
0.4%
ε 1
 
0.4%
δ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 373961
95.5%
Hangul 17137
 
4.4%
None 282
 
0.1%
CJK 214
 
0.1%
Punctuation 83
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
Number Forms 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51619
13.8%
a 29881
 
8.0%
i 28513
 
7.6%
e 28362
 
7.6%
o 25837
 
6.9%
t 23036
 
6.2%
n 22035
 
5.9%
r 20906
 
5.6%
s 13422
 
3.6%
l 12168
 
3.3%
Other values (71) 118182
31.6%
Hangul
ValueCountFrequency (%)
의 868
 
5.1%
사 742
 
4.3%
선 704
 
4.1%
조 646
 
3.8%
에 478
 
2.8%
성 458
 
2.7%
감 398
 
2.3%
한 389
 
2.3%
마 387
 
2.3%
방 319
 
1.9%
Other values (469) 11748
68.6%
None
ValueCountFrequency (%)
γ 212
75.2%
α 20
 
7.1%
° 13
 
4.6%
β 11
 
3.9%
· 8
 
2.8%
₃ 5
 
1.8%
₁ 2
 
0.7%
± 2
 
0.7%
₂ 2
 
0.7%
× 2
 
0.7%
Other values (5) 5
 
1.8%
Punctuation
ValueCountFrequency (%)
’ 26
31.3%
‘ 21
25.3%
† 21
25.3%
” 6
 
7.2%
“ 6
 
7.2%
′ 2
 
2.4%
… 1
 
1.2%
CJK
ValueCountFrequency (%)
射 20
 
9.3%
線 17
 
7.9%
放 12
 
5.6%
照 9
 
4.2%
貯 8
 
3.7%
藏 8
 
3.7%
生 6
 
2.8%
影 6
 
2.8%
性 5
 
2.3%
期 3
 
1.4%
Other values (87) 120
56.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
利 2
40.0%
濾 1
20.0%
理 1
20.0%
卵 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Misc Symbols
ValueCountFrequency (%)
☆ 1
100.0%

게재지
Text

Distinct862
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2023-12-13T07:21:16.888166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length156
Median length83
Mean length28.369108
Min length1

Characters and Unicode

Total characters117363
Distinct characters249
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique557 ?
Unique (%)13.5%

Sample

1st rowRadiation Effects and Defects in Solids
2nd rowNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
3rd rowPolymers for Advanced Technologies
4th rowJournal of Economic Entomology
5th rowJournal of Applied Bacteriology
ValueCountFrequency (%)
and 1581
 
10.1%
of 1276
 
8.1%
journal 1236
 
7.9%
food 953
 
6.1%
chemistry 801
 
5.1%
physics 724
 
4.6%
radiation 703
 
4.5%
science 589
 
3.8%
research 296
 
1.9%
applied 263
 
1.7%
Other values (899) 7243
46.2%
2023-12-13T07:21:17.426692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11733
 
10.0%
o 10290
 
8.8%
n 8196
 
7.0%
a 7846
 
6.7%
i 7719
 
6.6%
e 7248
 
6.2%
t 5657
 
4.8%
r 5630
 
4.8%
c 4839
 
4.1%
s 4645
 
4.0%
Other values (239) 43560
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 85359
72.7%
Uppercase Letter 11850
 
10.1%
Space Separator 11733
 
10.0%
Other Letter 7583
 
6.5%
Decimal Number 310
 
0.3%
Other Punctuation 251
 
0.2%
Dash Punctuation 111
 
0.1%
Open Punctuation 79
 
0.1%
Close Punctuation 79
 
0.1%
Initial Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 801
 
10.6%
국 682
 
9.0%
한 674
 
8.9%
회 660
 
8.7%
지 612
 
8.1%
식 559
 
7.4%
품 529
 
7.0%
과 423
 
5.6%
영 216
 
2.8%
양 214
 
2.8%
Other values (165) 2213
29.2%
Lowercase Letter
ValueCountFrequency (%)
o 10290
12.1%
n 8196
9.6%
a 7846
9.2%
i 7719
9.0%
e 7248
 
8.5%
t 5657
 
6.6%
r 5630
 
6.6%
c 4839
 
5.7%
s 4645
 
5.4%
l 4471
 
5.2%
Other values (16) 18818
22.0%
Uppercase Letter
ValueCountFrequency (%)
P 1554
13.1%
J 1254
10.6%
S 1138
9.6%
R 1091
9.2%
C 1081
9.1%
F 1044
8.8%
A 889
7.5%
I 674
 
5.7%
E 639
 
5.4%
M 638
 
5.4%
Other values (16) 1848
15.6%
Decimal Number
ValueCountFrequency (%)
1 85
27.4%
0 65
21.0%
2 33
 
10.6%
3 23
 
7.4%
8 19
 
6.1%
4 18
 
5.8%
9 17
 
5.5%
6 17
 
5.5%
7 17
 
5.5%
5 16
 
5.2%
Other Punctuation
ValueCountFrequency (%)
: 194
77.3%
& 32
 
12.7%
. 12
 
4.8%
; 9
 
3.6%
' 2
 
0.8%
/ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
11733
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
” 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 97209
82.8%
Common 12571
 
10.7%
Hangul 7575
 
6.5%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 801
 
10.6%
국 682
 
9.0%
한 674
 
8.9%
회 660
 
8.7%
지 612
 
8.1%
식 559
 
7.4%
품 529
 
7.0%
과 423
 
5.6%
영 216
 
2.9%
양 214
 
2.8%
Other values (157) 2205
29.1%
Latin
ValueCountFrequency (%)
o 10290
 
10.6%
n 8196
 
8.4%
a 7846
 
8.1%
i 7719
 
7.9%
e 7248
 
7.5%
t 5657
 
5.8%
r 5630
 
5.8%
c 4839
 
5.0%
s 4645
 
4.8%
l 4471
 
4.6%
Other values (42) 30668
31.5%
Common
ValueCountFrequency (%)
11733
93.3%
: 194
 
1.5%
- 111
 
0.9%
1 85
 
0.7%
( 79
 
0.6%
) 79
 
0.6%
0 65
 
0.5%
2 33
 
0.3%
& 32
 
0.3%
3 23
 
0.2%
Other values (12) 137
 
1.1%
Han
ValueCountFrequency (%)
核 1
12.5%
環 1
12.5%
境 1
12.5%
科 1
12.5%
學 1
12.5%
論 1
12.5%
文 1
12.5%
集 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109772
93.5%
Hangul 7575
 
6.5%
Punctuation 8
 
< 0.1%
CJK 7
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11733
 
10.7%
o 10290
 
9.4%
n 8196
 
7.5%
a 7846
 
7.1%
i 7719
 
7.0%
e 7248
 
6.6%
t 5657
 
5.2%
r 5630
 
5.1%
c 4839
 
4.4%
s 4645
 
4.2%
Other values (62) 35969
32.8%
Hangul
ValueCountFrequency (%)
학 801
 
10.6%
국 682
 
9.0%
한 674
 
8.9%
회 660
 
8.7%
지 612
 
8.1%
식 559
 
7.4%
품 529
 
7.0%
과 423
 
5.6%
영 216
 
2.9%
양 214
 
2.8%
Other values (157) 2205
29.1%
Punctuation
ValueCountFrequency (%)
“ 4
50.0%
” 4
50.0%
CJK
ValueCountFrequency (%)
核 1
14.3%
環 1
14.3%
境 1
14.3%
科 1
14.3%
學 1
14.3%
文 1
14.3%
集 1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
論 1
100.0%

원문저자
Text

Distinct4024
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2023-12-13T07:21:17.838342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length156
Mean length53.494803
Min length2

Characters and Unicode

Total characters221308
Distinct characters378
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3934 ?
Unique (%)95.1%

Sample

1st rowS. A. Nouh M. M. Abutalib
2nd rowPedro Silva Carmen Albano Rosestela Perera Jeanette Gonzlez Miren Ichazo
3rd rowA. Shojaei A. Behradfar and N. Sheikh
4th rowGUY J. HALLMAN
5th rowT. B. Tjaberg B. Underdal G. Lunde
ValueCountFrequency (%)
a 823
 
2.2%
m 735
 
2.0%
s 485
 
1.3%
kim 479
 
1.3%
j 360
 
1.0%
lee 332
 
0.9%
r 327
 
0.9%
and 269
 
0.7%
c 263
 
0.7%
e 258
 
0.7%
Other values (11909) 32419
88.2%
2023-12-13T07:21:18.755454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39201
17.7%
a 17686
 
8.0%
n 11360
 
5.1%
i 10325
 
4.7%
e 9889
 
4.5%
o 9300
 
4.2%
. 8534
 
3.9%
r 7006
 
3.2%
u 5993
 
2.7%
h 5627
 
2.5%
Other values (368) 96387
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 112349
50.8%
Uppercase Letter 48321
21.8%
Space Separator 39201
 
17.7%
Other Letter 10199
 
4.6%
Other Punctuation 8766
 
4.0%
Dash Punctuation 2258
 
1.0%
Decimal Number 73
 
< 0.1%
Close Punctuation 41
 
< 0.1%
Open Punctuation 40
 
< 0.1%
Modifier Symbol 29
 
< 0.1%
Other values (5) 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 719
 
7.0%
이 509
 
5.0%
정 314
 
3.1%
명 297
 
2.9%
우 289
 
2.8%
변 263
 
2.6%
호 253
 
2.5%
재 251
 
2.5%
영 243
 
2.4%
주 234
 
2.3%
Other values (272) 6827
66.9%
Lowercase Letter
ValueCountFrequency (%)
a 17686
15.7%
n 11360
10.1%
i 10325
 
9.2%
e 9889
 
8.8%
o 9300
 
8.3%
r 7006
 
6.2%
u 5993
 
5.3%
h 5627
 
5.0%
l 4681
 
4.2%
s 3960
 
3.5%
Other values (20) 26522
23.6%
Uppercase Letter
ValueCountFrequency (%)
A 4971
 
10.3%
S 4126
 
8.5%
M 3979
 
8.2%
H 2844
 
5.9%
K 2641
 
5.5%
J 2479
 
5.1%
R 2360
 
4.9%
L 2192
 
4.5%
C 2174
 
4.5%
E 2006
 
4.2%
Other values (19) 18549
38.4%
Other Punctuation
ValueCountFrequency (%)
. 8534
97.4%
; 125
 
1.4%
& 52
 
0.6%
* 22
 
0.3%
· 11
 
0.1%
/ 7
 
0.1%
† 5
 
0.1%
' 5
 
0.1%
‡ 2
 
< 0.1%
: 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 43
58.9%
2 9
 
12.3%
0 7
 
9.6%
3 7
 
9.6%
7 2
 
2.7%
4 2
 
2.7%
9 1
 
1.4%
8 1
 
1.4%
5 1
 
1.4%
Modifier Symbol
ValueCountFrequency (%)
´ 18
62.1%
¨ 6
 
20.7%
˘ 2
 
6.9%
¸ 1
 
3.4%
˙ 1
 
3.4%
` 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 40
97.6%
] 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
⊥ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
39201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 15
100.0%
Modifier Letter
ValueCountFrequency (%)
ˇ 7
100.0%
Control
ValueCountFrequency (%)
 2
100.0%
Currency Symbol
ValueCountFrequency (%)
€ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 160668
72.6%
Common 50439
 
22.8%
Hangul 10126
 
4.6%
Han 73
 
< 0.1%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 719
 
7.1%
이 509
 
5.0%
정 314
 
3.1%
명 297
 
2.9%
우 289
 
2.9%
변 263
 
2.6%
호 253
 
2.5%
재 251
 
2.5%
영 243
 
2.4%
주 234
 
2.3%
Other values (224) 6754
66.7%
Latin
ValueCountFrequency (%)
a 17686
 
11.0%
n 11360
 
7.1%
i 10325
 
6.4%
e 9889
 
6.2%
o 9300
 
5.8%
r 7006
 
4.4%
u 5993
 
3.7%
h 5627
 
3.5%
A 4971
 
3.1%
l 4681
 
2.9%
Other values (47) 73830
46.0%
Han
ValueCountFrequency (%)
漢 4
 
5.5%
玉 4
 
5.5%
權 4
 
5.5%
邊 4
 
5.5%
明 3
 
4.1%
重 3
 
4.1%
趙 3
 
4.1%
宇 3
 
4.1%
浩 3
 
4.1%
王 2
 
2.7%
Other values (38) 40
54.8%
Common
ValueCountFrequency (%)
39201
77.7%
. 8534
 
16.9%
- 2258
 
4.5%
; 125
 
0.2%
& 52
 
0.1%
1 43
 
0.1%
) 40
 
0.1%
( 40
 
0.1%
* 22
 
< 0.1%
´ 18
 
< 0.1%
Other values (27) 106
 
0.2%
Cyrillic
ValueCountFrequency (%)
М 1
50.0%
Е 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210971
95.3%
Hangul 10121
 
4.6%
None 102
 
< 0.1%
CJK 71
 
< 0.1%
Punctuation 22
 
< 0.1%
Modifier Letters 10
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Cyrillic 2
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39201
18.6%
a 17686
 
8.4%
n 11360
 
5.4%
i 10325
 
4.9%
e 9889
 
4.7%
o 9300
 
4.4%
. 8534
 
4.0%
r 7006
 
3.3%
u 5993
 
2.8%
h 5627
 
2.7%
Other values (66) 86050
40.8%
Hangul
ValueCountFrequency (%)
김 719
 
7.1%
이 509
 
5.0%
정 314
 
3.1%
명 297
 
2.9%
우 289
 
2.9%
변 263
 
2.6%
호 253
 
2.5%
재 251
 
2.5%
영 243
 
2.4%
주 234
 
2.3%
Other values (223) 6749
66.7%
None
ValueCountFrequency (%)
ı 42
41.2%
´ 18
17.6%
ł 17
16.7%
· 11
 
10.8%
¨ 6
 
5.9%
ß 4
 
3.9%
¸ 1
 
1.0%
œ 1
 
1.0%
Ł 1
 
1.0%
§ 1
 
1.0%
Punctuation
ValueCountFrequency (%)
’ 15
68.2%
† 5
 
22.7%
‡ 2
 
9.1%
Modifier Letters
ValueCountFrequency (%)
ˇ 7
70.0%
˘ 2
 
20.0%
˙ 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
漢 4
 
5.6%
玉 4
 
5.6%
權 4
 
5.6%
邊 4
 
5.6%
明 3
 
4.2%
重 3
 
4.2%
趙 3
 
4.2%
宇 3
 
4.2%
浩 3
 
4.2%
王 2
 
2.8%
Other values (36) 38
53.5%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
烈 1
50.0%
Currency Symbols
ValueCountFrequency (%)
€ 1
100.0%
Cyrillic
ValueCountFrequency (%)
М 1
50.0%
Е 1
50.0%
Math Operators
ValueCountFrequency (%)
⊥ 1
100.0%

게재년도
Real number (ℝ)

Distinct65
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.6555
Minimum1950
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.5 KiB
2023-12-13T07:21:18.949901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1985
Q12001
median2008
Q32013
95-th percentile2019
Maximum2020
Range70
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.648736
Coefficient of variation (CV)0.0053093546
Kurtosis2.5737858
Mean2005.6555
Median Absolute Deviation (MAD)6
Skewness-1.3872495
Sum8297397
Variance113.39559
MonotonicityNot monotonic
2023-12-13T07:21:19.184168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2009 200
 
4.8%
2014 195
 
4.7%
2007 192
 
4.6%
2015 182
 
4.4%
2010 181
 
4.4%
2011 178
 
4.3%
2012 168
 
4.1%
2013 166
 
4.0%
2017 162
 
3.9%
2004 160
 
3.9%
Other values (55) 2353
56.9%
ValueCountFrequency (%)
1950 1
 
< 0.1%
1953 1
 
< 0.1%
1955 1
 
< 0.1%
1959 3
0.1%
1960 2
 
< 0.1%
1961 2
 
< 0.1%
1962 1
 
< 0.1%
1963 2
 
< 0.1%
1964 5
0.1%
1965 1
 
< 0.1%
ValueCountFrequency (%)
2020 99
2.4%
2019 111
2.7%
2018 121
2.9%
2017 162
3.9%
2016 159
3.8%
2015 182
4.4%
2014 195
4.7%
2013 166
4.0%
2012 168
4.1%
2011 178
4.3%

원문 링크
Text

Distinct4103
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size32.4 KiB
2023-12-13T07:21:19.567197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length917
Mean length70.66014
Min length8

Characters and Unicode

Total characters292321
Distinct characters89
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4085 ?
Unique (%)98.7%

Sample

1st rowhttps://www.tandfonline.com/doi/abs/10.1080/10420150.2010.538926
2nd rowhttp://linkinghub.elsevier.com/retrieve/pii/S0168583X04008134
3rd rowhttps://onlinelibrary.wiley.com/doi/abs/10.1002/pat.1770
4th rowhttps://doi.org/10.1093/jee/101.3.716
5th rowhttp://doi.wiley.com/10.1111/j.1365-2672.1972.tb03724.x
ValueCountFrequency (%)
원문링크정보없음 18
 
0.4%
a 3
 
0.1%
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2621.2000.tb16046.x 2
 
< 0.1%
http://www.dbpia.co.kr/article/node00641475 2
 
< 0.1%
http://www.dbpia.co.kr/article/node00640842 2
 
< 0.1%
h 2
 
< 0.1%
http://www.dbpia.co.kr/article/node00641763 2
 
< 0.1%
https://www.sciencedirect.com/science/article/pii/s0956713519306206via%3dihub 2
 
< 0.1%
https://www.sciencedirect.com/science/article/pii/s0969806x02001949 2
 
< 0.1%
https://link.springer.com/article/10.1007/s11694-018-00028-w 2
 
< 0.1%
Other values (4103) 4115
99.1%
2023-12-13T07:21:20.147103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 21337
 
7.3%
i 17820
 
6.1%
e 17750
 
6.1%
t 15607
 
5.3%
0 15307
 
5.2%
c 13556
 
4.6%
. 12280
 
4.2%
r 10668
 
3.6%
1 10282
 
3.5%
a 9229
 
3.2%
Other values (79) 148485
50.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 164684
56.3%
Decimal Number 63960
 
21.9%
Other Punctuation 42761
 
14.6%
Uppercase Letter 14114
 
4.8%
Dash Punctuation 2407
 
0.8%
Connector Punctuation 2108
 
0.7%
Math Symbol 1468
 
0.5%
Open Punctuation 326
 
0.1%
Close Punctuation 326
 
0.1%
Other Letter 144
 
< 0.1%
Other values (2) 23
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 17820
 
10.8%
e 17750
 
10.8%
t 15607
 
9.5%
c 13556
 
8.2%
r 10668
 
6.5%
a 9229
 
5.6%
o 9046
 
5.5%
s 8454
 
5.1%
p 8382
 
5.1%
n 7911
 
4.8%
Other values (16) 46261
28.1%
Uppercase Letter
ValueCountFrequency (%)
S 1910
13.5%
A 1624
11.5%
E 1592
11.3%
D 1341
9.5%
C 1258
8.9%
B 1022
 
7.2%
X 991
 
7.0%
O 552
 
3.9%
N 482
 
3.4%
P 403
 
2.9%
Other values (16) 2939
20.8%
Decimal Number
ValueCountFrequency (%)
0 15307
23.9%
1 10282
16.1%
2 5808
 
9.1%
9 5612
 
8.8%
3 5266
 
8.2%
6 5081
 
7.9%
8 4933
 
7.7%
4 4227
 
6.6%
5 3897
 
6.1%
7 3547
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 21337
49.9%
. 12280
28.7%
: 4209
 
9.8%
% 4094
 
9.6%
& 601
 
1.4%
; 142
 
0.3%
# 65
 
0.2%
* 23
 
0.1%
! 10
 
< 0.1%
Other Letter
ValueCountFrequency (%)
원 18
12.5%
문 18
12.5%
음 18
12.5%
없 18
12.5%
보 18
12.5%
정 18
12.5%
크 18
12.5%
링 18
12.5%
Math Symbol
ValueCountFrequency (%)
= 1386
94.4%
+ 76
 
5.2%
< 4
 
0.3%
> 2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2407
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 326
100.0%
Close Punctuation
ValueCountFrequency (%)
) 326
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 178798
61.2%
Common 113379
38.8%
Hangul 144
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 17820
 
10.0%
e 17750
 
9.9%
t 15607
 
8.7%
c 13556
 
7.6%
r 10668
 
6.0%
a 9229
 
5.2%
o 9046
 
5.1%
s 8454
 
4.7%
p 8382
 
4.7%
n 7911
 
4.4%
Other values (42) 60375
33.8%
Common
ValueCountFrequency (%)
/ 21337
18.8%
0 15307
13.5%
. 12280
10.8%
1 10282
9.1%
2 5808
 
5.1%
9 5612
 
4.9%
3 5266
 
4.6%
6 5081
 
4.5%
8 4933
 
4.4%
4 4227
 
3.7%
Other values (19) 23246
20.5%
Hangul
ValueCountFrequency (%)
원 18
12.5%
문 18
12.5%
음 18
12.5%
없 18
12.5%
보 18
12.5%
정 18
12.5%
크 18
12.5%
링 18
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 292177
> 99.9%
Hangul 144
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 21337
 
7.3%
i 17820
 
6.1%
e 17750
 
6.1%
t 15607
 
5.3%
0 15307
 
5.2%
c 13556
 
4.6%
. 12280
 
4.2%
r 10668
 
3.7%
1 10282
 
3.5%
a 9229
 
3.2%
Other values (71) 148341
50.8%
Hangul
ValueCountFrequency (%)
원 18
12.5%
문 18
12.5%
음 18
12.5%
없 18
12.5%
보 18
12.5%
정 18
12.5%
크 18
12.5%
링 18
12.5%

소재 및 방법론
Text

MISSING 

Distinct177
Distinct (%)100.0%
Missing3960
Missing (%)95.7%
Memory size32.4 KiB
2023-12-13T07:21:20.642103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length644
Mean length600.0904
Min length31

Characters and Unicode

Total characters106216
Distinct characters734
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)100.0%

Sample

1st row본 연구에서는 미국 스티븐스 우레탄 (Stevens Urethane) 사의 두께 0.076mm의 폴리 우레탄 엘라스토머 시트를 사용 하였다. 감마선 조사 과정은 선량률 5.28055 kGy / h를 제공하는 60Co 소스 (러시아의 원자력 에너지에서 제조 됨)를 사용하여 수행되었다. 전자빔 조사는 공기 중 25 ℃의 실내 온도에서 NCRRT AEA Cairo에서 절연 코어 변압기로 작동하는 1.5MeV 전자빔 가속기 빔 전류 25mA를 사용하여 수행되었다. 샘플의 가열을 피하기 위해 냉각 시스템에 부착되었다. 용량은 캐나다 Nordion에서 공급 한 Ceric / Cerous 선량계에 대해 감마 장치에서 조사하여 보정 한 FWT60-00 선량계를 사용하여 조정되었습니다. 감마에서 1.5MeV 전자빔 조사로 보정을 전송하면 추가 불확실성이 5 % 미만으로 자극된다는 것을 알 수 있습니다. 샘플을 다양한 적분 선량에 적용하여 20 40 60 80 100 150 및 200 kGy에서 조사 선량을 단계적으로 누적 하였다.
2nd rowEB irradiation Gel content an dswellingratio Mechanical tests Thermal studies Morphological studies
3rd row2.1 Material and experimental procedure To synthesize n-BCoC mixed-waste mobile phone batteries (LIBs) were first discharged and dismantled manually to separate into cathodes anodes plastic separators and metal cases [1315]. Then the cathodic material was collected and treated with N-methyl-2- pyrrolidone (NMP Merck 99.5%) at 60 °C for 1 h. After filtration the resulted powder was dried at 50 °C for 24 h and sieved with the screen of 0.5 mm. Thermal pretreatment of resulting powder was carried out at 700 °C for 5 h in a muffle to eliminate carbon polyvinylidene fluoride (PVDF) and solvent residue. The resultant cathodic active powder was leached with 2 mol/L NaOH solution to selectively dissolve the remaining aluminum pieces. Then the filter residue was leached with 2 mol/L H2SO4 (Merck 95%97.0%) and 4% H2O2 (volume fraction) (Sigma-Aldrich 30%) at 70 °C for 2 h. The pH of leach liquor was adjusted to 5 with 2 mol/L NaOH solution in order to make the impurity ions form Al(OH)3 MnOOH and Ni(OH)2pr
4th rowThe irradiation doses were approximately 150 550 and 1100 kGy. The method of irradiating polymer films comprises multiple irradiations at 50 kGy per pass.
5th row본 연구에서는 실리콘에 증착 된 금속층 (Pt Ni 또는 Hf)의 계면을 통해 저선량 (1 X 10&apos;4 ~ 6 X 10&apos;5 cm-2)의 불활성 가스 이온을 주입했다. 실리사이드 상과 Si가 풍부한 금속 과 Si 혼합 층이 세기가 다른 이온량에 의해 나타났다. 이 이온 유도 혼합 과정은 고 선량 주입에 사용 된 것보다 2 배 낮은 선량 수준에서 이온 빔 재료 수정을위한 대안이 될 수 있다.
ValueCountFrequency (%)
the 691
 
3.6%
of 370
 
1.9%
and 331
 
1.7%
was 287
 
1.5%
in 254
 
1.3%
a 245
 
1.3%
were 243
 
1.3%
at 185
 
1.0%
181
 
1.0%
to 175
 
0.9%
Other values (6843) 16038
84.4%
2023-12-13T07:21:21.356918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19776
18.6%
e 7235
 
6.8%
a 5055
 
4.8%
t 4383
 
4.1%
r 4271
 
4.0%
i 4029
 
3.8%
o 3936
 
3.7%
n 3593
 
3.4%
s 3255
 
3.1%
d 2451
 
2.3%
Other values (724) 48232
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55390
52.1%
Space Separator 19776
 
18.6%
Other Letter 17218
 
16.2%
Uppercase Letter 5454
 
5.1%
Decimal Number 4454
 
4.2%
Other Punctuation 1965
 
1.9%
Open Punctuation 558
 
0.5%
Close Punctuation 552
 
0.5%
Dash Punctuation 485
 
0.5%
Other Symbol 153
 
0.1%
Other values (7) 211
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 594
 
3.4%
에 582
 
3.4%
의 469
 
2.7%
이 384
 
2.2%
사 376
 
2.2%
하 373
 
2.2%
로 351
 
2.0%
을 290
 
1.7%
서 278
 
1.6%
는 272
 
1.6%
Other values (607) 13249
76.9%
Lowercase Letter
ValueCountFrequency (%)
e 7235
13.1%
a 5055
 
9.1%
t 4383
 
7.9%
r 4271
 
7.7%
i 4029
 
7.3%
o 3936
 
7.1%
n 3593
 
6.5%
s 3255
 
5.9%
d 2451
 
4.4%
l 2338
 
4.2%
Other values (21) 14844
26.8%
Uppercase Letter
ValueCountFrequency (%)
T 598
 
11.0%
P 487
 
8.9%
A 468
 
8.6%
C 459
 
8.4%
E 368
 
6.7%
M 366
 
6.7%
S 300
 
5.5%
G 263
 
4.8%
D 244
 
4.5%
F 234
 
4.3%
Other values (18) 1667
30.6%
Other Punctuation
ValueCountFrequency (%)
. 1429
72.7%
/ 216
 
11.0%
% 122
 
6.2%
; 89
 
4.5%
: 64
 
3.3%
& 26
 
1.3%
! 9
 
0.5%
* 5
 
0.3%
# 2
 
0.1%
@ 1
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 1359
30.5%
1 830
18.6%
2 608
13.7%
5 507
 
11.4%
3 343
 
7.7%
4 208
 
4.7%
6 198
 
4.4%
7 139
 
3.1%
8 139
 
3.1%
9 123
 
2.8%
Control
ValueCountFrequency (%)
 17
41.5%
 9
22.0%
 5
 
12.2%
 2
 
4.9%
 2
 
4.9%
 2
 
4.9%
 2
 
4.9%
1
 
2.4%
 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
× 37
28.2%
= 36
27.5%
~ 25
19.1%
+ 16
12.2%
± 16
12.2%
∼ 1
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
^ 17
70.8%
´ 4
 
16.7%
¨ 1
 
4.2%
˝ 1
 
4.2%
˚ 1
 
4.2%
Other Symbol
ValueCountFrequency (%)
° 89
58.2%
℃ 48
31.4%
® 11
 
7.2%
㎛ 5
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 542
97.1%
[ 16
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 537
97.3%
] 15
 
2.7%
Final Punctuation
ValueCountFrequency (%)
” 4
57.1%
’ 3
42.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
19776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 485
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Number
ValueCountFrequency (%)
¼ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 60817
57.3%
Common 28154
26.5%
Hangul 17218
 
16.2%
Greek 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 594
 
3.4%
에 582
 
3.4%
의 469
 
2.7%
이 384
 
2.2%
사 376
 
2.2%
하 373
 
2.2%
로 351
 
2.0%
을 290
 
1.7%
서 278
 
1.6%
는 272
 
1.6%
Other values (607) 13249
76.9%
Common
ValueCountFrequency (%)
19776
70.2%
. 1429
 
5.1%
0 1359
 
4.8%
1 830
 
2.9%
2 608
 
2.2%
( 542
 
1.9%
) 537
 
1.9%
5 507
 
1.8%
- 485
 
1.7%
3 343
 
1.2%
Other values (48) 1738
 
6.2%
Latin
ValueCountFrequency (%)
e 7235
 
11.9%
a 5055
 
8.3%
t 4383
 
7.2%
r 4271
 
7.0%
i 4029
 
6.6%
o 3936
 
6.5%
n 3593
 
5.9%
s 3255
 
5.4%
d 2451
 
4.0%
l 2338
 
3.8%
Other values (43) 20271
33.3%
Greek
ValueCountFrequency (%)
μ 12
44.4%
α 6
22.2%
γ 4
 
14.8%
π 2
 
7.4%
ρ 2
 
7.4%
Ω 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88740
83.5%
Hangul 17218
 
16.2%
None 190
 
0.2%
Letterlike Symbols 48
 
< 0.1%
Punctuation 12
 
< 0.1%
CJK Compat 5
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19776
22.3%
e 7235
 
8.2%
a 5055
 
5.7%
t 4383
 
4.9%
r 4271
 
4.8%
i 4029
 
4.5%
o 3936
 
4.4%
n 3593
 
4.0%
s 3255
 
3.7%
d 2451
 
2.8%
Other values (82) 30756
34.7%
Hangul
ValueCountFrequency (%)
다 594
 
3.4%
에 582
 
3.4%
의 469
 
2.7%
이 384
 
2.2%
사 376
 
2.2%
하 373
 
2.2%
로 351
 
2.0%
을 290
 
1.7%
서 278
 
1.6%
는 272
 
1.6%
Other values (607) 13249
76.9%
None
ValueCountFrequency (%)
° 89
46.8%
× 37
19.5%
± 16
 
8.4%
μ 12
 
6.3%
® 11
 
5.8%
α 6
 
3.2%
γ 4
 
2.1%
´ 4
 
2.1%
Þ 3
 
1.6%
π 2
 
1.1%
Other values (5) 6
 
3.2%
Letterlike Symbols
ValueCountFrequency (%)
℃ 48
100.0%
CJK Compat
ValueCountFrequency (%)
㎛ 5
100.0%
Punctuation
ValueCountFrequency (%)
” 4
33.3%
’ 3
25.0%
‘ 3
25.0%
“ 1
 
8.3%
′ 1
 
8.3%
Modifier Letters
ValueCountFrequency (%)
˝ 1
50.0%
˚ 1
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

키워드
Text

MISSING 

Distinct2118
Distinct (%)99.3%
Missing2005
Missing (%)48.5%
Memory size32.4 KiB
2023-12-13T07:21:21.705540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length305
Mean length91.096623
Min length2

Characters and Unicode

Total characters194218
Distinct characters402
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2104 ?
Unique (%)98.7%

Sample

1st rowgamma; electron beam irradiation; color changes; refractive index; FTIR; polyurethane
2nd rowElectron paramagnetic resonance; Gamma irradiation; Dose rate
3rd rowlow-density polyethylene; ethylene-vinyl acetate; organoclay; nanocomposite; electron beam
4th rowElectrical; Electron beam irradiation; EPDM; HAF; Mechanical
5th rowhydrogels; drug delivery systems; irradiation; radiation
ValueCountFrequency (%)
irradiation 1165
 
5.5%
gamma 640
 
3.0%
radiation 506
 
2.4%
electron 294
 
1.4%
food 250
 
1.2%
beam 249
 
1.2%
properties 181
 
0.9%
quality 175
 
0.8%
effects 116
 
0.6%
polyethylene 110
 
0.5%
Other values (4891) 17313
82.4%
2023-12-13T07:21:22.126723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18941
 
9.8%
i 15928
 
8.2%
a 15223
 
7.8%
e 13230
 
6.8%
o 11856
 
6.1%
r 11399
 
5.9%
t 11194
 
5.8%
; 10279
 
5.3%
n 10012
 
5.2%
l 7053
 
3.6%
Other values (392) 69103
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 140845
72.5%
Space Separator 18941
 
9.8%
Uppercase Letter 18587
 
9.6%
Other Punctuation 10676
 
5.5%
Other Letter 2998
 
1.5%
Dash Punctuation 1003
 
0.5%
Decimal Number 632
 
0.3%
Close Punctuation 254
 
0.1%
Open Punctuation 253
 
0.1%
Currency Symbol 8
 
< 0.1%
Other values (7) 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 193
 
6.4%
사 135
 
4.5%
감 112
 
3.7%
조 107
 
3.6%
마 107
 
3.6%
품 84
 
2.8%
성 81
 
2.7%
학 63
 
2.1%
생 56
 
1.9%
식 51
 
1.7%
Other values (295) 2009
67.0%
Lowercase Letter
ValueCountFrequency (%)
i 15928
11.3%
a 15223
10.8%
e 13230
9.4%
o 11856
 
8.4%
r 11399
 
8.1%
t 11194
 
7.9%
n 10012
 
7.1%
l 7053
 
5.0%
s 6763
 
4.8%
c 6078
 
4.3%
Other values (21) 32109
22.8%
Uppercase Letter
ValueCountFrequency (%)
I 1528
 
8.2%
S 1515
 
8.2%
A 1434
 
7.7%
P 1423
 
7.7%
E 1377
 
7.4%
C 1267
 
6.8%
R 1224
 
6.6%
T 1112
 
6.0%
O 999
 
5.4%
D 922
 
5.0%
Other values (17) 5786
31.1%
Other Punctuation
ValueCountFrequency (%)
; 10279
96.3%
. 183
 
1.7%
: 78
 
0.7%
/ 64
 
0.6%
& 47
 
0.4%
· 8
 
0.1%
′ 6
 
0.1%
' 6
 
0.1%
\ 3
 
< 0.1%
% 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 144
22.8%
2 78
12.3%
0 76
12.0%
5 72
11.4%
7 71
11.2%
3 64
10.1%
6 39
 
6.2%
8 34
 
5.4%
9 28
 
4.4%
4 26
 
4.1%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
< 2
33.3%
> 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 252
99.2%
} 2
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 251
99.2%
{ 2
 
0.8%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Other Number
ValueCountFrequency (%)
₂ 2
66.7%
₃ 1
33.3%
Initial Punctuation
ValueCountFrequency (%)
“ 2
50.0%
‘ 2
50.0%
Space Separator
ValueCountFrequency (%)
18941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1003
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 8
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%
Control
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 159291
82.0%
Common 31788
 
16.4%
Hangul 2998
 
1.5%
Greek 141
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 193
 
6.4%
사 135
 
4.5%
감 112
 
3.7%
조 107
 
3.6%
마 107
 
3.6%
품 84
 
2.8%
성 81
 
2.7%
학 63
 
2.1%
생 56
 
1.9%
식 51
 
1.7%
Other values (295) 2009
67.0%
Latin
ValueCountFrequency (%)
i 15928
 
10.0%
a 15223
 
9.6%
e 13230
 
8.3%
o 11856
 
7.4%
r 11399
 
7.2%
t 11194
 
7.0%
n 10012
 
6.3%
l 7053
 
4.4%
s 6763
 
4.2%
c 6078
 
3.8%
Other values (42) 50555
31.7%
Common
ValueCountFrequency (%)
18941
59.6%
; 10279
32.3%
- 1003
 
3.2%
) 252
 
0.8%
( 251
 
0.8%
. 183
 
0.6%
1 144
 
0.5%
2 78
 
0.2%
: 78
 
0.2%
0 76
 
0.2%
Other values (29) 503
 
1.6%
Greek
ValueCountFrequency (%)
γ 115
81.6%
β 13
 
9.2%
α 8
 
5.7%
Δ 3
 
2.1%
δ 1
 
0.7%
λ 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191052
98.4%
Hangul 2998
 
1.5%
None 153
 
0.1%
Punctuation 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18941
 
9.9%
i 15928
 
8.3%
a 15223
 
8.0%
e 13230
 
6.9%
o 11856
 
6.2%
r 11399
 
6.0%
t 11194
 
5.9%
; 10279
 
5.4%
n 10012
 
5.2%
l 7053
 
3.7%
Other values (72) 65937
34.5%
Hangul
ValueCountFrequency (%)
선 193
 
6.4%
사 135
 
4.5%
감 112
 
3.7%
조 107
 
3.6%
마 107
 
3.6%
품 84
 
2.8%
성 81
 
2.7%
학 63
 
2.1%
생 56
 
1.9%
식 51
 
1.7%
Other values (295) 2009
67.0%
None
ValueCountFrequency (%)
γ 115
75.2%
β 13
 
8.5%
· 8
 
5.2%
α 8
 
5.2%
Δ 3
 
2.0%
₂ 2
 
1.3%
₃ 1
 
0.7%
δ 1
 
0.7%
® 1
 
0.7%
λ 1
 
0.7%
Punctuation
ValueCountFrequency (%)
′ 6
40.0%
’ 3
20.0%
” 2
 
13.3%
“ 2
 
13.3%
‘ 2
 
13.3%

권
Text

MISSING 

Distinct295
Distinct (%)8.8%
Missing770
Missing (%)18.6%
Memory size32.4 KiB
2023-12-13T07:21:22.491727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.0668251
Min length1

Characters and Unicode

Total characters6959
Distinct characters21
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

Unique86 ?
Unique (%)2.6%

Sample

1st row166
2nd row226
3rd row22
4th row35
5th row28
ValueCountFrequency (%)
32 51
 
1.5%
30 51
 
1.5%
81 49
 
1.5%
6 48
 
1.4%
79 47
 
1.4%
28 46
 
1.4%
37 45
 
1.3%
31 45
 
1.3%
16 44
 
1.3%
36 43
 
1.3%
Other values (286) 2899
86.1%
2023-12-13T07:21:22.980007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1162
16.7%
2 852
12.2%
3 804
11.6%
6 704
10.1%
7 671
9.6%
4 648
9.3%
5 614
8.8%
8 535
7.7%
9 511
7.3%
0 443
 
6.4%
Other values (11) 15
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6944
99.8%
Dash Punctuation 5
 
0.1%
Uppercase Letter 4
 
0.1%
Other Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1162
16.7%
2 852
12.3%
3 804
11.6%
6 704
10.1%
7 671
9.7%
4 648
9.3%
5 614
8.8%
8 535
7.7%
9 511
7.4%
0 443
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
I 1
25.0%
X 1
25.0%
B 1
25.0%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6952
99.9%
Latin 5
 
0.1%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1162
16.7%
2 852
12.3%
3 804
11.6%
6 704
10.1%
7 671
9.7%
4 648
9.3%
5 614
8.8%
8 535
7.7%
9 511
7.4%
0 443
 
6.4%
Other values (4) 8
 
0.1%
Latin
ValueCountFrequency (%)
x 1
20.0%
L 1
20.0%
I 1
20.0%
X 1
20.0%
B 1
20.0%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6957
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1162
16.7%
2 852
12.2%
3 804
11.6%
6 704
10.1%
7 671
9.6%
4 648
9.3%
5 614
8.8%
8 535
7.7%
9 511
7.3%
0 443
 
6.4%
Other values (9) 13
 
0.2%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

호
Text

MISSING 

Distinct114
Distinct (%)3.9%
Missing1229
Missing (%)29.7%
Memory size32.4 KiB
2023-12-13T07:21:23.167846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.5863136
Min length1

Characters and Unicode

Total characters4613
Distinct characters21
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

Unique59 ?
Unique (%)2.0%

Sample

1st row3
2nd row3
3rd row12
4th row3
5th row4
ValueCountFrequency (%)
1 483
15.5%
2 442
14.1%
3 408
13.1%
4 333
10.7%
5 222
 
7.1%
6 200
 
6.4%
01월 99
 
3.2%
7 93
 
3.0%
8 92
 
2.9%
9 75
 
2.4%
Other values (105) 679
21.7%
2023-12-13T07:21:23.514491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 946
20.5%
2 630
13.7%
3 535
11.6%
0 500
10.8%
4 417
9.0%
6 287
 
6.2%
5 271
 
5.9%
일 218
 
4.7%
218
 
4.7%
월 218
 
4.7%
Other values (11) 373
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3943
85.5%
Other Letter 436
 
9.5%
Space Separator 218
 
4.7%
Lowercase Letter 6
 
0.1%
Dash Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 946
24.0%
2 630
16.0%
3 535
13.6%
0 500
12.7%
4 417
10.6%
6 287
 
7.3%
5 271
 
6.9%
8 133
 
3.4%
7 120
 
3.0%
9 104
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
s 3
50.0%
p 2
33.3%
u 1
 
16.7%
Other Letter
ValueCountFrequency (%)
일 218
50.0%
월 218
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
S 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4167
90.3%
Hangul 436
 
9.5%
Latin 10
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 946
22.7%
2 630
15.1%
3 535
12.8%
0 500
12.0%
4 417
10.0%
6 287
 
6.9%
5 271
 
6.5%
218
 
5.2%
8 133
 
3.2%
7 120
 
2.9%
Other values (4) 110
 
2.6%
Latin
ValueCountFrequency (%)
B 3
30.0%
s 3
30.0%
p 2
20.0%
S 1
 
10.0%
u 1
 
10.0%
Hangul
ValueCountFrequency (%)
일 218
50.0%
월 218
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4177
90.5%
Hangul 436
 
9.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 946
22.6%
2 630
15.1%
3 535
12.8%
0 500
12.0%
4 417
10.0%
6 287
 
6.9%
5 271
 
6.5%
218
 
5.2%
8 133
 
3.2%
7 120
 
2.9%
Other values (9) 120
 
2.9%
Hangul
ValueCountFrequency (%)
일 218
50.0%
월 218
50.0%

페이지
Text

MISSING 

Distinct2736
Distinct (%)80.5%
Missing740
Missing (%)17.9%
Memory size32.4 KiB
2023-12-13T07:21:23.892334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length7
Mean length7.075655
Min length2

Characters and Unicode

Total characters24036
Distinct characters36
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

Unique2242 ?
Unique (%)66.0%

Sample

1st row165-177
2nd row320-326
3rd row2352-2359
4th row473-478
5th row386-392
ValueCountFrequency (%)
01월 61
 
1.7%
08일 13
 
0.4%
11일 13
 
0.4%
06일 12
 
0.3%
09월 11
 
0.3%
09일 9
 
0.3%
07월 9
 
0.3%
10일 9
 
0.3%
05월 8
 
0.2%
07일 8
 
0.2%
Other values (2713) 3356
95.6%
2023-12-13T07:21:24.411493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3726
15.5%
- 3284
13.7%
2 2436
10.1%
3 2281
9.5%
5 1926
8.0%
7 1854
7.7%
4 1830
7.6%
6 1656
6.9%
9 1649
6.9%
0 1499
6.2%
Other values (26) 1895
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20327
84.6%
Dash Punctuation 3284
 
13.7%
Other Letter 224
 
0.9%
Space Separator 112
 
0.5%
Uppercase Letter 63
 
0.3%
Lowercase Letter 18
 
0.1%
Other Punctuation 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
27.8%
h 2
 
11.1%
a 1
 
5.6%
c 1
 
5.6%
s 1
 
5.6%
y 1
 
5.6%
p 1
 
5.6%
d 1
 
5.6%
r 1
 
5.6%
j 1
 
5.6%
Other values (3) 3
16.7%
Decimal Number
ValueCountFrequency (%)
1 3726
18.3%
2 2436
12.0%
3 2281
11.2%
5 1926
9.5%
7 1854
9.1%
4 1830
9.0%
6 1656
8.1%
9 1649
8.1%
0 1499
7.4%
8 1470
 
7.2%
Uppercase Letter
ValueCountFrequency (%)
M 28
44.4%
S 16
25.4%
C 12
19.0%
E 4
 
6.3%
A 3
 
4.8%
Other Letter
ValueCountFrequency (%)
월 112
50.0%
일 112
50.0%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
/ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 3284
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23731
98.7%
Hangul 224
 
0.9%
Latin 81
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 28
34.6%
S 16
19.8%
C 12
14.8%
e 5
 
6.2%
E 4
 
4.9%
A 3
 
3.7%
h 2
 
2.5%
a 1
 
1.2%
c 1
 
1.2%
s 1
 
1.2%
Other values (8) 8
 
9.9%
Common
ValueCountFrequency (%)
1 3726
15.7%
- 3284
13.8%
2 2436
10.3%
3 2281
9.6%
5 1926
8.1%
7 1854
7.8%
4 1830
7.7%
6 1656
7.0%
9 1649
6.9%
0 1499
6.3%
Other values (6) 1590
6.7%
Hangul
ValueCountFrequency (%)
월 112
50.0%
일 112
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23812
99.1%
Hangul 224
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3726
15.6%
- 3284
13.8%
2 2436
10.2%
3 2281
9.6%
5 1926
8.1%
7 1854
7.8%
4 1830
7.7%
6 1656
7.0%
9 1649
6.9%
0 1499
6.3%
Other values (24) 1671
7.0%
Hangul
ValueCountFrequency (%)
월 112
50.0%
일 112
50.0%

Interactions

2023-12-13T07:21:15.394825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T07:21:15.526873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:21:15.679629image/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.
2023-12-13T07:21:15.795357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

원문명게재지원문저자게재년도원문 링크소재 및 방법론키워드권호페이지
0A comparative study of the effect of gamma and electron beam irradiation on the optical and structural properties of polyurethaneRadiation Effects and Defects in SolidsS. A. Nouh M. M. Abutalib2011https://www.tandfonline.com/doi/abs/10.1080/10420150.2010.538926본 연구에서는 미국 스티븐스 우레탄 (Stevens Urethane) 사의 두께 0.076mm의 폴리 우레탄 엘라스토머 시트를 사용 하였다. 감마선 조사 과정은 선량률 5.28055 kGy / h를 제공하는 60Co 소스 (러시아의 원자력 에너지에서 제조 됨)를 사용하여 수행되었다. 전자빔 조사는 공기 중 25 ℃의 실내 온도에서 NCRRT AEA Cairo에서 절연 코어 변압기로 작동하는 1.5MeV 전자빔 가속기 빔 전류 25mA를 사용하여 수행되었다. 샘플의 가열을 피하기 위해 냉각 시스템에 부착되었다. 용량은 캐나다 Nordion에서 공급 한 Ceric / Cerous 선량계에 대해 감마 장치에서 조사하여 보정 한 FWT60-00 선량계를 사용하여 조정되었습니다. 감마에서 1.5MeV 전자빔 조사로 보정을 전송하면 추가 불확실성이 5 % 미만으로 자극된다는 것을 알 수 있습니다. 샘플을 다양한 적분 선량에 적용하여 20 40 60 80 100 150 및 200 kGy에서 조사 선량을 단계적으로 누적 하였다.gamma; electron beam irradiation; color changes; refractive index; FTIR; polyurethane1663165-177
1An electron paramagnetic resonance study of PP and PP/SBS blends irradiated with gamma raysNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and AtomsPedro Silva Carmen Albano Rosestela Perera Jeanette Gonzlez Miren Ichazo2004http://linkinghub.elsevier.com/retrieve/pii/S0168583X04008134<NA>Electron paramagnetic resonance; Gamma irradiation; Dose rate2263320-326
2Effect of organoclay loading and electron beam irradiation on the physicomechanical properties of lowdensity polyethylene/ethylenevinyl acetate blendPolymers for Advanced TechnologiesA. Shojaei A. Behradfar and N. Sheikh2011https://onlinelibrary.wiley.com/doi/abs/10.1002/pat.1770<NA>low-density polyethylene; ethylene-vinyl acetate; organoclay; nanocomposite; electron beam22122352-2359
3Potential Increase in Fruit Fly (Diptera: Tephritidae) Interceptions Using Ionizing Irradiation Phytosanitary TreatmentsJournal of Economic EntomologyGUY J. HALLMAN2008https://doi.org/10.1093/jee/101.3.716<NA><NA><NA><NA><NA>
4The Effect of Ionizing Radiation on the Microbiological Content and Volatile Constituents of SpicesJournal of Applied BacteriologyT. B. Tjaberg B. Underdal G. Lunde1972http://doi.wiley.com/10.1111/j.1365-2672.1972.tb03724.x<NA><NA>353473-478
5The effect of TMPTMA addition on electron-beam irradiated LDPE EVA and blend propertiesInternational Polymer ProcessingM. Sabet R. M. Savory A. Hassan and C. T. Ratnam2013https://www.hanser-elibrary.com/doi/abs/10.3139/217.2723<NA><NA>284386-392
6Study of X-ray irradiation applied to fresh dairy cheeseLWT - Food Science and TechnologyValentina Lacivita Annalisa Mentana Diego Centonze Eugenio Chiaravalle Vittorio A. Zambrini Amalia Conte Matteo A. Del Nobile2019https://www.sciencedirect.com/science/article/pii/S002364381831140X<NA><NA>103<NA>186-191
7방사선 조사 조건이 육류의 2-alkylcyclobutanones의 생성에 미치는 영향전남대학교고선민2016http://www.riss.kr/search/detail/DetailView.dop_mat_type=be54d9b8bc7cdb09&control_no=3c61ae6f78f5161cffe0bdc3ef48d419#redirect<NA><NA><NA><NA><NA>
8Effect of high energy electron beam irradiation on properties of EPDM rubber/high density polyethylene/carbon black compositesPolymer - Plastics Technology and EngineeringMaysa Abdelatty Mohamed Magda Mahmoud Abou Zeid Nawal Ahmed Shaltout and Ahmed Ali El Miligy2012https://www.tandfonline.com/doi/abs/10.1080/03602559.2012.702257<NA>Electrical; Electron beam irradiation; EPDM; HAF; Mechanical51131361-1366
9Radiosensitivity of microorganisms in Saengshik products and irradiation effects on the sensorial propertiesRadiation Physics and ChemistryGui-Ran Kim Sudha Rani Ramakrishnan Joong-Ho Kwon2018https://www.sciencedirect.com/science/article/pii/S0969806X17309878<NA><NA>152<NA>100-106
원문명게재지원문저자게재년도원문 링크소재 및 방법론키워드권호페이지
4127Study of Thermal Behavioir of Poly(Lactic) Acid Composites with Gamma Irradiated Luffa FiberProceedings of the National Academy of Sciences India Section A: Physical SciencesParida C. Mohanta K. l. Patra S.2020https://link.springer.com/article/10.1007/s40010-020-00705-w<NA><NA><NA><NA>01월 07일
4128DISINFESTATION OF SEMOLINA AND WHEAT GRAINS USING GAMMA IRRADIATION AND ITS EFFECT BEFORE AND AFTER MILLING OF JORDANIAN DURUM WHEAT ON SEMOLINA AND LASAGNA QUALITYJournal of Food Processing and PreservationF.S. AZZEH A.S. AMR and A.Y. ALAZZEH2011https://ifst.onlinelibrary.wiley.com/doi/full/10.1111/j.1745-4549.2011.00515.x<NA><NA>355656-664
4129Inactivation of Listeria monocytogenes on post-harvest carrot and tomato by gamma radiation sanitizer biocontrol treatments and their combinationsLWT - Food Science and TechnologyBerrios-Rodriguez A. Olanya O. M. Ukuku D. O. Niemira B. A. Orellana L. E. Mukhopadhyay S. Cassidy J. M. Boyd G.2020https://www.sciencedirect.com/science/article/pii/S0023643819311478<NA>Radiation; Sanitizer; Biocontrol; Tomato; Carrot; Hurdle treatment; Pathogen inactivation118<NA><NA>
4130Effect of Using Gamma Radiation on Storability and Sensory Acceptability of Sudanese SorghumInternational Journal for Research in Applied Sciences and BiotechnologyRaga Yousif Abdel Rahman Muna Ibrahim Abdalla Abdel Halim Rahama Ahmed2020https://www.ijrasb.com/ojs/index.php/ojs-ijrasb/article/view/71<NA><NA>7405월 11일
4131Effect of Gamma Irradiation on the Attributes of Turkey Duck Goose and Chicken Egg Whites and YolksPlant ArchivesTahany Abdel-Ghafr Ahmed Aly Emam Aabdel-Mobdee Abd- Elrahim Cunshan Zhou Frederick Sarpong and Lamiaa Mostafa Radwan2020http://www.plantarchives.org/SPL%20ISSUE%2020-2/77__465-473_.pdf<NA>Egg quality; food chemistry; Egg conservation; Egg Radiation.202465-473
4132Stimulating Effect of Gamma Radiation on some Active Compounds in Eggplant FruitsEgyptian Journal of Radiation Sciences and ApplicationsAmina A. Aly Noha E. Eliwa Mohamed H. AbdEl-Megid2019https://journals.ekb.eg/article_31562.html<NA><NA>32<NA>61-73
4133Inactivation of Escherichia coli O157:H7 and Samonella Typhimurium in edible bird&apos;s nest by low energy X-ray irradiationFood ControlH. Zhang T.M.H. Ha H.L. Seck W. Zhou2020https://www.sciencedirect.com/science/article/abs/pii/S0956713519306206<NA><NA><NA><NA><NA>
4134The efficay of X-ray doses on Vibrio Vulnificus in pure culture and Vibrio parahaemolyticus in pure culture and inoculated farm raised live oysters (Crassostrea virginica) with different acceleration voltagesFood ControlY. Wu S. K.C. Chang2020https://www.sciencedirect.com/science/article/abs/pii/S0956713520301936<NA>Vibrio parahaemolyticus; Vibrio vulnificus; X-ray; Acceleration voltage; Live oysters<NA><NA><NA>
4135Effect of gamma irradiations on fungal growth of mango (mangifera indica) to enhance the shelf lifePakistan Journal of PhytopathologyChatha Z. A. Usman M. Faiyaz F. Raza A.2019http://pakps.com/pjp/index.php/PJP/article/view/508<NA>Gamma Irradiations; Hot Water; Mango Fruit; Fungus frequency percentage; UV-C312217-220
4136Some characteristics of oil extracted from gamma irradiated apricot (Prunus Armeniaca L.) kernelsJournal of Agroalimentary Processes and TechnologiesMahfouz Al-Bachir Yahia Koudsi2019https://www.journal-of-agroalimentary.ro/admin/articole/72909L5_Mahfouz_Al-Bachir_2019_25(1)_24-30.pdf<NA><NA>25124-30