Overview

Dataset statistics

Number of variables9
Number of observations98
Missing cells20
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory74.3 B

Variable types

Numeric1
Text6
Categorical1
DateTime1

Dataset

Description한국원자력의학원 논문 관련(논문번호, 학술지구분, 논문제목, 주저자, 책임저자, 학술지명칭, 학술지게재일자 등) 정보입니다.
Author한국원자력의학원
URLhttps://www.data.go.kr/data/15047482/fileData.do

Alerts

학술지구분 is highly imbalanced (76.5%)Imbalance
주저자 has 5 (5.1%) missing valuesMissing
책임저자 has 5 (5.1%) missing valuesMissing
공동저자 has 10 (10.2%) missing valuesMissing
번호 has unique valuesUnique
논문번호 has unique valuesUnique
논문제목영문 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:18:55.375284
Analysis finished2023-12-12 07:18:57.013134
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.5
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1014.0 B
2023-12-12T16:18:57.124773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.85
Q125.25
median49.5
Q373.75
95-th percentile93.15
Maximum98
Range97
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation28.434134
Coefficient of variation (CV)0.57442696
Kurtosis-1.2
Mean49.5
Median Absolute Deviation (MAD)24.5
Skewness0
Sum4851
Variance808.5
MonotonicityStrictly increasing
2023-12-12T16:18:57.261525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
75 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
Other values (88) 88
89.8%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%

논문번호
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-12T16:18:57.523567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters1470
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row2022-PAPR-05311
2nd row2022-PAPR-05307
3rd row2022-PAPR-05301
4th row2022-PAPR-05300
5th row2022-PAPR-05294
ValueCountFrequency (%)
2022-papr-05311 1
 
1.0%
2022-papr-05008 1
 
1.0%
2022-papr-05019 1
 
1.0%
2022-papr-05021 1
 
1.0%
2022-papr-05022 1
 
1.0%
2022-papr-05023 1
 
1.0%
2022-papr-05024 1
 
1.0%
2022-papr-05047 1
 
1.0%
2022-papr-05049 1
 
1.0%
2022-papr-05065 1
 
1.0%
Other values (88) 88
89.8%
2023-12-12T16:18:57.902989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 309
21.0%
0 246
16.7%
- 196
13.3%
P 196
13.3%
A 98
 
6.7%
R 98
 
6.7%
5 95
 
6.5%
1 67
 
4.6%
4 40
 
2.7%
8 37
 
2.5%
Other values (4) 88
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
60.0%
Uppercase Letter 392
26.7%
Dash Punctuation 196
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 309
35.0%
0 246
27.9%
5 95
 
10.8%
1 67
 
7.6%
4 40
 
4.5%
8 37
 
4.2%
9 32
 
3.6%
7 24
 
2.7%
6 18
 
2.0%
3 14
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
P 196
50.0%
A 98
25.0%
R 98
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1078
73.3%
Latin 392
 
26.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 309
28.7%
0 246
22.8%
- 196
18.2%
5 95
 
8.8%
1 67
 
6.2%
4 40
 
3.7%
8 37
 
3.4%
9 32
 
3.0%
7 24
 
2.2%
6 18
 
1.7%
Latin
ValueCountFrequency (%)
P 196
50.0%
A 98
25.0%
R 98
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 309
21.0%
0 246
16.7%
- 196
13.3%
P 196
13.3%
A 98
 
6.7%
R 98
 
6.7%
5 95
 
6.5%
1 67
 
4.6%
4 40
 
2.7%
8 37
 
2.5%
Other values (4) 88
 
6.0%

논문제목영문
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-12T16:18:58.165035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length131
Mean length115.78571
Min length51

Characters and Unicode

Total characters11347
Distinct characters77
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

Unique98 ?
Unique (%)100.0%

Sample

1st rowPredictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer
2nd rowPrognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy
3rd rowEffects of Irradiation on Brain Tumors Using MR-based Electrical Conductivity Imaging
4th rowFlavonoid-Conjugated Gadolinium Complexes as Anti-Inflammatory Theranostic Agents
5th rowEffect of radiofrequency exposure on body temperature: Real-time monitoring in normal rats
ValueCountFrequency (%)
of 73
 
5.2%
in 55
 
3.9%
and 41
 
2.9%
the 24
 
1.7%
for 22
 
1.6%
a 21
 
1.5%
cancer 19
 
1.4%
cells 17
 
1.2%
by 15
 
1.1%
to 14
 
1.0%
Other values (760) 1105
78.6%
2023-12-12T16:18:58.907575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1318
 
11.6%
e 966
 
8.5%
i 942
 
8.3%
a 789
 
7.0%
n 747
 
6.6%
t 741
 
6.5%
o 722
 
6.4%
r 553
 
4.9%
s 511
 
4.5%
c 405
 
3.6%
Other values (67) 3653
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8896
78.4%
Space Separator 1318
 
11.6%
Uppercase Letter 803
 
7.1%
Decimal Number 141
 
1.2%
Dash Punctuation 121
 
1.1%
Other Punctuation 46
 
0.4%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Final Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 966
10.9%
i 942
10.6%
a 789
 
8.9%
n 747
 
8.4%
t 741
 
8.3%
o 722
 
8.1%
r 553
 
6.2%
s 511
 
5.7%
c 405
 
4.6%
l 403
 
4.5%
Other values (20) 2117
23.8%
Uppercase Letter
ValueCountFrequency (%)
C 76
 
9.5%
A 76
 
9.5%
P 66
 
8.2%
T 64
 
8.0%
R 61
 
7.6%
M 55
 
6.8%
S 54
 
6.7%
D 46
 
5.7%
I 45
 
5.6%
E 37
 
4.6%
Other values (15) 223
27.8%
Decimal Number
ValueCountFrequency (%)
1 38
27.0%
3 24
17.0%
2 23
16.3%
0 14
 
9.9%
5 12
 
8.5%
8 8
 
5.7%
4 6
 
4.3%
9 6
 
4.3%
7 5
 
3.5%
6 5
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 18
39.1%
, 14
30.4%
: 12
26.1%
. 2
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 7
77.8%
] 2
 
22.2%
Open Punctuation
ValueCountFrequency (%)
( 7
77.8%
[ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
1318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9693
85.4%
Common 1648
 
14.5%
Greek 6
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 966
 
10.0%
i 942
 
9.7%
a 789
 
8.1%
n 747
 
7.7%
t 741
 
7.6%
o 722
 
7.4%
r 553
 
5.7%
s 511
 
5.3%
c 405
 
4.2%
l 403
 
4.2%
Other values (41) 2914
30.1%
Common
ValueCountFrequency (%)
1318
80.0%
- 121
 
7.3%
1 38
 
2.3%
3 24
 
1.5%
2 23
 
1.4%
/ 18
 
1.1%
0 14
 
0.8%
, 14
 
0.8%
: 12
 
0.7%
5 12
 
0.7%
Other values (12) 54
 
3.3%
Greek
ValueCountFrequency (%)
α 2
33.3%
β 2
33.3%
δ 1
16.7%
γ 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11338
99.9%
None 6
 
0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1318
 
11.6%
e 966
 
8.5%
i 942
 
8.3%
a 789
 
7.0%
n 747
 
6.6%
t 741
 
6.5%
o 722
 
6.4%
r 553
 
4.9%
s 511
 
4.5%
c 405
 
3.6%
Other values (62) 3644
32.1%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%
None
ValueCountFrequency (%)
α 2
33.3%
β 2
33.3%
δ 1
16.7%
γ 1
16.7%

주저자
Text

MISSING 

Distinct87
Distinct (%)93.5%
Missing5
Missing (%)5.1%
Memory size916.0 B
2023-12-12T16:18:59.354226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length45
Mean length20.268817
Min length8

Characters and Unicode

Total characters1885
Distinct characters230
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

Unique82 ?
Unique (%)88.2%

Sample

1st row유장(보훈병원,0)
2nd row황재필(순천향대병원,0), 최준영(삼성서울병원)
3rd row박지애(방사성의약품개발팀), 김용성(MOTIE)
4th rowByeong Woo Yang(경북대학교,0)
5th row이원석(대구카톨릭대학,0), 이해준(의생명중개연구팀,0)
ValueCountFrequency (%)
shuwen 3
 
1.9%
3
 
1.9%
양지웅(방사성의약품개발팀,0 3
 
1.9%
of 3
 
1.9%
liu(경북대학교,0 3
 
1.9%
0 3
 
1.9%
박정인(응용치료연구팀,0 2
 
1.2%
한양대 2
 
1.2%
김소연(방사성의약품개발팀,0 2
 
1.2%
김종국(ri중개연구팀,0 2
 
1.2%
Other values (133) 135
83.9%
2023-12-12T16:19:00.017547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 124
 
6.6%
( 124
 
6.6%
, 111
 
5.9%
0 77
 
4.1%
68
 
3.6%
팀 64
 
3.4%
연 52
 
2.8%
구 50
 
2.7%
학 44
 
2.3%
대 38
 
2.0%
Other values (220) 1133
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1133
60.1%
Lowercase Letter 188
 
10.0%
Close Punctuation 124
 
6.6%
Open Punctuation 124
 
6.6%
Other Punctuation 117
 
6.2%
Decimal Number 77
 
4.1%
Space Separator 68
 
3.6%
Uppercase Letter 54
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 64
 
5.6%
연 52
 
4.6%
구 50
 
4.4%
학 44
 
3.9%
대 38
 
3.4%
의 37
 
3.3%
김 31
 
2.7%
개 27
 
2.4%
교 25
 
2.2%
료 23
 
2.0%
Other values (173) 742
65.5%
Lowercase Letter
ValueCountFrequency (%)
e 23
12.2%
n 21
11.2%
a 17
 
9.0%
i 17
 
9.0%
o 15
 
8.0%
r 12
 
6.4%
t 10
 
5.3%
u 10
 
5.3%
s 10
 
5.3%
h 9
 
4.8%
Other values (12) 44
23.4%
Uppercase Letter
ValueCountFrequency (%)
I 8
14.8%
S 7
13.0%
R 5
9.3%
D 5
9.3%
L 4
 
7.4%
M 4
 
7.4%
W 3
 
5.6%
B 3
 
5.6%
T 2
 
3.7%
E 2
 
3.7%
Other values (8) 11
20.4%
Other Punctuation
ValueCountFrequency (%)
, 111
94.9%
/ 3
 
2.6%
. 3
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Decimal Number
ValueCountFrequency (%)
0 77
100.0%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1133
60.1%
Common 510
27.1%
Latin 242
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 64
 
5.6%
연 52
 
4.6%
구 50
 
4.4%
학 44
 
3.9%
대 38
 
3.4%
의 37
 
3.3%
김 31
 
2.7%
개 27
 
2.4%
교 25
 
2.2%
료 23
 
2.0%
Other values (173) 742
65.5%
Latin
ValueCountFrequency (%)
e 23
 
9.5%
n 21
 
8.7%
a 17
 
7.0%
i 17
 
7.0%
o 15
 
6.2%
r 12
 
5.0%
t 10
 
4.1%
u 10
 
4.1%
s 10
 
4.1%
h 9
 
3.7%
Other values (30) 98
40.5%
Common
ValueCountFrequency (%)
) 124
24.3%
( 124
24.3%
, 111
21.8%
0 77
15.1%
68
13.3%
/ 3
 
0.6%
. 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1133
60.1%
ASCII 752
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 124
16.5%
( 124
16.5%
, 111
14.8%
0 77
10.2%
68
9.0%
e 23
 
3.1%
n 21
 
2.8%
a 17
 
2.3%
i 17
 
2.3%
o 15
 
2.0%
Other values (37) 155
20.6%
Hangul
ValueCountFrequency (%)
팀 64
 
5.6%
연 52
 
4.6%
구 50
 
4.4%
학 44
 
3.9%
대 38
 
3.4%
의 37
 
3.3%
김 31
 
2.7%
개 27
 
2.4%
교 25
 
2.2%
료 23
 
2.0%
Other values (173) 742
65.5%

책임저자
Text

MISSING 

Distinct89
Distinct (%)95.7%
Missing5
Missing (%)5.1%
Memory size916.0 B
2023-12-12T16:19:00.411013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length43
Mean length23.698925
Min length7

Characters and Unicode

Total characters2204
Distinct characters218
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 (%)92.5%

Sample

1st row최준영(삼성서울병원,)
2nd row우상근(RI중개연구팀), 박정미(순천향대병원)
3rd row김현철(조선대학교)
4th rowGang-Ho Lee(경북대학교,), Yongmin Chang(경북대학교)
5th row서우덕(National Isntitute of Crop Sciecnce,), 김은호(대구카톨릭대학,)
ValueCountFrequency (%)
김재성(응용치료연구팀 7
 
3.5%
박지애(방사성의약품개발팀 5
 
2.5%
chang(경북대학교 4
 
2.0%
심세환(피폭치료연구팀 4
 
2.0%
4
 
2.0%
of 4
 
2.0%
최상현(의학물리공학연구팀 4
 
2.0%
yongmin 4
 
2.0%
박인철(방사선의학연구소 3
 
1.5%
ho 3
 
1.5%
Other values (138) 159
79.1%
2023-12-12T16:19:01.199667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 154
 
7.0%
( 149
 
6.8%
) 149
 
6.8%
109
 
4.9%
학 69
 
3.1%
팀 60
 
2.7%
연 58
 
2.6%
대 57
 
2.6%
구 55
 
2.5%
김 38
 
1.7%
Other values (208) 1306
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1325
60.1%
Lowercase Letter 243
 
11.0%
Other Punctuation 159
 
7.2%
Open Punctuation 149
 
6.8%
Close Punctuation 149
 
6.8%
Space Separator 109
 
4.9%
Uppercase Letter 69
 
3.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 69
 
5.2%
팀 60
 
4.5%
연 58
 
4.4%
대 57
 
4.3%
구 55
 
4.2%
김 38
 
2.9%
교 36
 
2.7%
의 35
 
2.6%
료 29
 
2.2%
용 28
 
2.1%
Other values (160) 860
64.9%
Lowercase Letter
ValueCountFrequency (%)
n 35
14.4%
e 34
14.0%
o 25
10.3%
a 23
9.5%
i 23
9.5%
t 15
 
6.2%
g 14
 
5.8%
r 11
 
4.5%
s 9
 
3.7%
c 9
 
3.7%
Other values (12) 45
18.5%
Uppercase Letter
ValueCountFrequency (%)
I 10
14.5%
C 8
11.6%
R 8
11.6%
H 6
8.7%
G 6
8.7%
S 6
8.7%
Y 4
 
5.8%
L 4
 
5.8%
D 3
 
4.3%
P 2
 
2.9%
Other values (9) 12
17.4%
Other Punctuation
ValueCountFrequency (%)
, 154
96.9%
. 3
 
1.9%
/ 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1325
60.1%
Common 567
25.7%
Latin 312
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 69
 
5.2%
팀 60
 
4.5%
연 58
 
4.4%
대 57
 
4.3%
구 55
 
4.2%
김 38
 
2.9%
교 36
 
2.7%
의 35
 
2.6%
료 29
 
2.2%
용 28
 
2.1%
Other values (160) 860
64.9%
Latin
ValueCountFrequency (%)
n 35
 
11.2%
e 34
 
10.9%
o 25
 
8.0%
a 23
 
7.4%
i 23
 
7.4%
t 15
 
4.8%
g 14
 
4.5%
r 11
 
3.5%
I 10
 
3.2%
s 9
 
2.9%
Other values (31) 113
36.2%
Common
ValueCountFrequency (%)
, 154
27.2%
( 149
26.3%
) 149
26.3%
109
19.2%
. 3
 
0.5%
/ 2
 
0.4%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1325
60.1%
ASCII 879
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 154
17.5%
( 149
17.0%
) 149
17.0%
109
12.4%
n 35
 
4.0%
e 34
 
3.9%
o 25
 
2.8%
a 23
 
2.6%
i 23
 
2.6%
t 15
 
1.7%
Other values (38) 163
18.5%
Hangul
ValueCountFrequency (%)
학 69
 
5.2%
팀 60
 
4.5%
연 58
 
4.4%
대 57
 
4.3%
구 55
 
4.2%
김 38
 
2.9%
교 36
 
2.7%
의 35
 
2.6%
료 29
 
2.2%
용 28
 
2.1%
Other values (160) 860
64.9%

공동저자
Text

MISSING 

Distinct88
Distinct (%)100.0%
Missing10
Missing (%)10.2%
Memory size916.0 B
2023-12-12T16:19:01.640105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length90.5
Mean length87.965909
Min length10

Characters and Unicode

Total characters7741
Distinct characters298
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

Unique88 ?
Unique (%)100.0%

Sample

1st row천미주(보훈병원,), 우상근(RI중개연구팀,), 이재호(서울대병원,), 안명주(삼성서울병원,), 표홍렬(삼성서울병원,), 최용수(삼성서울병원,), 한정호(삼성서울병원,)
2nd row최준호(순천향대병원), 조영석(삼성서울병원), 허승모(순천향대병원), 김지선(순천향대병원), 임철완(순천향대병원), 서성호(배재대학교), 문지은(순천향대병원)
3rd row양지웅(방사성의약품개발팀,), 최법경(경희대학교,), Nitish Katoch(경희대학교,), 박승우(방사선조사담당), Yong-HoeHur(전남대학교), 김진웅(조선대학교), 김형중(경희대학교,)
4th rowSohyeon Yang(경북대학교), 김소연(방사성의약품개발팀), Ah Rum Baek(경북대학교), Bokyung Sung(경북대학교), Yeoun-Hee Kim(에트노바), Jung Tae Lee(경북대학교), Sang Yun Lee(경북대학교), Hee-Kyung Kim(대구경북첨단의료산업진흥재단), Garam Choi(에트노바), 박지애(방사성의약품개발팀), Sung-Wook Nam(경북대학교)
5th row양지영(National Isntitute of Crop Sciecne), 신혜림(National Isntitute of Forest Sciecn), 최식원(National Isntitute of Forest Sciecn), 김종기(대구카톨릭대학교)
ValueCountFrequency (%)
of 21
 
2.9%
이교철(ri중개연구팀 10
 
1.4%
physics 10
 
1.4%
science 9
 
1.2%
이용진(ri응용부 8
 
1.1%
김소연(방사성의약품개발팀 7
 
1.0%
photon 6
 
0.8%
and 6
 
0.8%
gist 6
 
0.8%
장원일(방사선종양학과 6
 
0.8%
Other values (457) 633
87.7%
2023-12-12T16:19:02.378176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
635
 
8.2%
, 520
 
6.7%
( 455
 
5.9%
) 454
 
5.9%
e 191
 
2.5%
학 165
 
2.1%
a 151
 
2.0%
팀 151
 
2.0%
대 151
 
2.0%
o 146
 
1.9%
Other values (288) 4722
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3667
47.4%
Lowercase Letter 1480
19.1%
Space Separator 635
 
8.2%
Other Punctuation 568
 
7.3%
Uppercase Letter 473
 
6.1%
Open Punctuation 455
 
5.9%
Close Punctuation 454
 
5.9%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 165
 
4.5%
팀 151
 
4.1%
대 151
 
4.1%
연 141
 
3.8%
구 131
 
3.6%
교 110
 
3.0%
의 91
 
2.5%
김 85
 
2.3%
경 79
 
2.2%
이 67
 
1.8%
Other values (232) 2496
68.1%
Lowercase Letter
ValueCountFrequency (%)
e 191
12.9%
a 151
10.2%
o 146
9.9%
n 140
 
9.5%
t 108
 
7.3%
i 104
 
7.0%
r 84
 
5.7%
h 67
 
4.5%
c 67
 
4.5%
s 64
 
4.3%
Other values (14) 358
24.2%
Uppercase Letter
ValueCountFrequency (%)
I 58
12.3%
S 55
 
11.6%
R 44
 
9.3%
K 32
 
6.8%
A 28
 
5.9%
T 24
 
5.1%
P 23
 
4.9%
C 23
 
4.9%
D 23
 
4.9%
H 23
 
4.9%
Other values (14) 140
29.6%
Other Punctuation
ValueCountFrequency (%)
, 520
91.5%
. 40
 
7.0%
/ 7
 
1.2%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
635
100.0%
Open Punctuation
ValueCountFrequency (%)
( 455
100.0%
Close Punctuation
ValueCountFrequency (%)
) 454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3667
47.4%
Common 2121
27.4%
Latin 1953
25.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 165
 
4.5%
팀 151
 
4.1%
대 151
 
4.1%
연 141
 
3.8%
구 131
 
3.6%
교 110
 
3.0%
의 91
 
2.5%
김 85
 
2.3%
경 79
 
2.2%
이 67
 
1.8%
Other values (232) 2496
68.1%
Latin
ValueCountFrequency (%)
e 191
 
9.8%
a 151
 
7.7%
o 146
 
7.5%
n 140
 
7.2%
t 108
 
5.5%
i 104
 
5.3%
r 84
 
4.3%
h 67
 
3.4%
c 67
 
3.4%
s 64
 
3.3%
Other values (38) 831
42.5%
Common
ValueCountFrequency (%)
635
29.9%
, 520
24.5%
( 455
21.5%
) 454
21.4%
. 40
 
1.9%
- 9
 
0.4%
/ 7
 
0.3%
? 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4074
52.6%
Hangul 3667
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
635
15.6%
, 520
12.8%
( 455
 
11.2%
) 454
 
11.1%
e 191
 
4.7%
a 151
 
3.7%
o 146
 
3.6%
n 140
 
3.4%
t 108
 
2.7%
i 104
 
2.6%
Other values (46) 1170
28.7%
Hangul
ValueCountFrequency (%)
학 165
 
4.5%
팀 151
 
4.1%
대 151
 
4.1%
연 141
 
3.8%
구 131
 
3.6%
교 110
 
3.0%
의 91
 
2.5%
김 85
 
2.3%
경 79
 
2.2%
이 67
 
1.8%
Other values (232) 2496
68.1%

학술지구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size916.0 B
SCIE
92 
KCI
 
5
기타
 
1

Length

Max length4
Median length4
Mean length3.9285714
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
SCIE 92
93.9%
KCI 5
 
5.1%
기타 1
 
1.0%

Length

2023-12-12T16:19:02.641904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:19:02.861505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
scie 92
93.9%
kci 5
 
5.1%
기타 1
 
1.0%

학술지명칭1
Text

Distinct82
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-12T16:19:03.298879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length22.571429
Min length4

Characters and Unicode

Total characters2212
Distinct characters61
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

Unique74 ?
Unique (%)75.5%

Sample

1st rowcancers
2nd rowDiagnostics
3rd rowCancers
4th rowantioxidants
5th rowJournal of Thermal Biology
ValueCountFrequency (%)
of 28
 
9.5%
journal 22
 
7.5%
in 10
 
3.4%
and 9
 
3.1%
molecular 9
 
3.1%
research 7
 
2.4%
international 7
 
2.4%
sciences 7
 
2.4%
the 6
 
2.0%
society 6
 
2.0%
Other values (117) 184
62.4%
2023-12-12T16:19:04.207770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
8.9%
e 197
 
8.9%
n 182
 
8.2%
o 169
 
7.6%
a 159
 
7.2%
i 150
 
6.8%
r 135
 
6.1%
c 127
 
5.7%
l 124
 
5.6%
s 99
 
4.5%
Other values (51) 673
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1724
77.9%
Uppercase Letter 269
 
12.2%
Space Separator 197
 
8.9%
Other Punctuation 9
 
0.4%
Other Letter 8
 
0.4%
Dash Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 197
11.4%
n 182
10.6%
o 169
9.8%
a 159
9.2%
i 150
8.7%
r 135
7.8%
c 127
7.4%
l 124
7.2%
s 99
 
5.7%
t 96
 
5.6%
Other values (14) 286
16.6%
Uppercase Letter
ValueCountFrequency (%)
C 29
10.8%
S 26
9.7%
J 25
9.3%
R 21
 
7.8%
M 20
 
7.4%
B 20
 
7.4%
E 19
 
7.1%
I 18
 
6.7%
A 17
 
6.3%
P 12
 
4.5%
Other values (12) 62
23.0%
Other Letter
ValueCountFrequency (%)
학 1
12.5%
지 1
12.5%
회 1
12.5%
의 1
12.5%
상 1
12.5%
영 1
12.5%
한 1
12.5%
대 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
& 4
44.4%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1993
90.1%
Common 211
 
9.5%
Hangul 8
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 197
 
9.9%
n 182
 
9.1%
o 169
 
8.5%
a 159
 
8.0%
i 150
 
7.5%
r 135
 
6.8%
c 127
 
6.4%
l 124
 
6.2%
s 99
 
5.0%
t 96
 
4.8%
Other values (36) 555
27.8%
Hangul
ValueCountFrequency (%)
학 1
12.5%
지 1
12.5%
회 1
12.5%
의 1
12.5%
상 1
12.5%
영 1
12.5%
한 1
12.5%
대 1
12.5%
Common
ValueCountFrequency (%)
197
93.4%
. 4
 
1.9%
& 4
 
1.9%
- 3
 
1.4%
) 1
 
0.5%
, 1
 
0.5%
( 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2204
99.6%
Hangul 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
 
8.9%
e 197
 
8.9%
n 182
 
8.3%
o 169
 
7.7%
a 159
 
7.2%
i 150
 
6.8%
r 135
 
6.1%
c 127
 
5.8%
l 124
 
5.6%
s 99
 
4.5%
Other values (43) 665
30.2%
Hangul
ValueCountFrequency (%)
학 1
12.5%
지 1
12.5%
회 1
12.5%
의 1
12.5%
상 1
12.5%
영 1
12.5%
한 1
12.5%
대 1
12.5%

학술지게재일자
Date

Distinct82
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size916.0 B
Minimum2022-01-01 00:00:00
Maximum2022-12-20 00:00:00
2023-12-12T16:19:04.481721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:19:04.671835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:18:56.611215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:19:04.775456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호논문번호논문제목영문주저자책임저자공동저자학술지구분학술지명칭1학술지게재일자
번호1.0001.0001.0000.9000.9551.0000.0000.0000.327
논문번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
논문제목영문1.0001.0001.0001.0001.0001.0001.0001.0001.000
주저자0.9001.0001.0001.0000.9951.0000.7970.9760.979
책임저자0.9551.0001.0000.9951.0001.0001.0000.9790.961
공동저자1.0001.0001.0001.0001.0001.0001.0001.0001.000
학술지구분0.0001.0001.0000.7971.0001.0001.0001.0000.000
학술지명칭10.0001.0001.0000.9760.9791.0001.0001.0000.905
학술지게재일자0.3271.0001.0000.9790.9611.0000.0000.9051.000
2023-12-12T16:19:04.899292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호학술지구분
번호1.0000.000
학술지구분0.0001.000

Missing values

2023-12-12T16:18:56.713599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:18:56.839350image/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.
2023-12-12T16:18:56.941306image/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

번호논문번호논문제목영문주저자책임저자공동저자학술지구분학술지명칭1학술지게재일자
012022-PAPR-05311Predictive Value of 18F-FDG PET/CT Using Machine Learning for Pathological Response to Neoadjuvant Concurrent Chemoradiotherapy in Patients with Stage III Non-Small Cell Lung Cancer유장(보훈병원,0)최준영(삼성서울병원,)천미주(보훈병원,), 우상근(RI중개연구팀,), 이재호(서울대병원,), 안명주(삼성서울병원,), 표홍렬(삼성서울병원,), 최용수(삼성서울병원,), 한정호(삼성서울병원,)SCIEcancers2022-04-14
122022-PAPR-05307Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy황재필(순천향대병원,0), 최준영(삼성서울병원)우상근(RI중개연구팀), 박정미(순천향대병원)최준호(순천향대병원), 조영석(삼성서울병원), 허승모(순천향대병원), 김지선(순천향대병원), 임철완(순천향대병원), 서성호(배재대학교), 문지은(순천향대병원)SCIEDiagnostics2022-09-22
232022-PAPR-05301Effects of Irradiation on Brain Tumors Using MR-based Electrical Conductivity Imaging박지애(방사성의약품개발팀), 김용성(MOTIE)김현철(조선대학교)양지웅(방사성의약품개발팀,), 최법경(경희대학교,), Nitish Katoch(경희대학교,), 박승우(방사선조사담당), Yong-HoeHur(전남대학교), 김진웅(조선대학교), 김형중(경희대학교,)SCIECancers2022-12-20
342022-PAPR-05300Flavonoid-Conjugated Gadolinium Complexes as Anti-Inflammatory Theranostic AgentsByeong Woo Yang(경북대학교,0)Gang-Ho Lee(경북대학교,), Yongmin Chang(경북대학교)Sohyeon Yang(경북대학교), 김소연(방사성의약품개발팀), Ah Rum Baek(경북대학교), Bokyung Sung(경북대학교), Yeoun-Hee Kim(에트노바), Jung Tae Lee(경북대학교), Sang Yun Lee(경북대학교), Hee-Kyung Kim(대구경북첨단의료산업진흥재단), Garam Choi(에트노바), 박지애(방사성의약품개발팀), Sung-Wook Nam(경북대학교)SCIEantioxidants2022-12-15
452022-PAPR-05294Effect of radiofrequency exposure on body temperature: Real-time monitoring in normal rats<NA><NA><NA>SCIEJournal of Thermal Biology2022-10-18
562022-PAPR-05292The Potential Neuroprotective Effects of Extracts from Oat Seedlings against Alzheimer’s Disease이원석(대구카톨릭대학,0), 이해준(의생명중개연구팀,0)서우덕(National Isntitute of Crop Sciecnce,), 김은호(대구카톨릭대학,)양지영(National Isntitute of Crop Sciecne), 신혜림(National Isntitute of Forest Sciecn), 최식원(National Isntitute of Forest Sciecn), 김종기(대구카톨릭대학교)SCIENutirents2022-10-02
672022-PAPR-05291Protective effects of an aqueous extract of Protaetia brevitarsis seulensis larvae against radiation-induced testicular injury in mice<NA><NA><NA>SCIEFood Science & Nutrition2022-07-01
782022-PAPR-05290Transcriptome analysis demonstrating the therapeutic effect of Tenodera angustipennis (Mantidis Ootheca) extracts on radiation-induced gonadal toxicity in mouse testis<NA><NA><NA>SCIEEntomological Research2022-07-07
892022-PAPR-05289Low Dose Rate Radiation Regulates M2-like Macrophages in an Allergic Airway Inflammation Mouse Model조월순, 강소희신인식, 김중선정수경, 배민지, 이창근, 손영훈(의생명중개연구팀), 이해준(의생명중개연구팀), 정민호, 김성호, 문창종SCIEDose-Response2022-08-18
9102022-PAPR-05288Enhancement of Radiosensitivity by DNA Hypomethylating Drugs through Apoptosis and Autophagy in Human Sarcoma Cells<NA><NA><NA>SCIEBiomolecules & Therapeutics2022-01-01
번호논문번호논문제목영문주저자책임저자공동저자학술지구분학술지명칭1학술지게재일자
88892021-PAPR-04850PCW-1001, a novel pyrazole derivative, exerts antitumor and radio-sensitizing activities in breast cancer강민성(응용치료연구팀,0)김재성(응용치료연구팀,)김아영(응용치료연구팀,), 권영주(응용치료연구팀), 안지연(응용치료연구팀), 오정수(성균관,), Navin Pandit(한국화학연구), 정관령(한국화학연구,)SCIEFrontiers in oncology2022-03-01
89902021-PAPR-04849Centella asiatica-derived endothelial paracrine restores epithelial barrier dysfunction in radiation-induced enteritis곽서영(피폭치료연구팀)장효선(피폭치료연구팀,), 심세환(피폭치료연구팀)장원일(방사선종양학과,), 이승범(피폭치료연구팀), 김민정(피폭치료연구팀), 박선후(병리과), 조상식(외과), 김혜원(피폭치료연구팀), 이선주(피폭치료연구팀)SCIECells2022-08-16
90912021-PAPR-04827PI3Kδ/γ inhibitor BR101801 extrinsically potentiates effector CD8+ T cell-dependent anti-tumor immunity and abscopal effect following local irradiation윤이나(응용치료연구팀,0)김태진(응용치료연구팀,), 김재성(응용치료연구팀,)이은주(응용치료연구팀,)SCIEJournal of ImmunoTherapy of Cance2022-03-14
91922021-PAPR-04785BHMPS inhibits breast cancer migration and invasion by disrupting Rab27a-mediated EGFR and fibronectin secretion박정인(응용치료연구팀,0)정승윤(응용치료연구팀,), 송지영(응용치료연구팀,)송경희(응용치료연구팀), 강성묵(녹십자), 이지용(생체반응연구팀), 조성준(한국보건연구원), 최현경(중원대학교), 안지연(응용치료연구팀), 박종국(응용치료연구팀), 김재성(응용치료연구팀), 황상구(응용치료연구팀), 임대석(차의과대학), 김준(고려대)SCIEcancers2022-01-12
92932021-PAPR-04784Clinical outcomes of Locking Polymeric Clip for Laparoscopic Appendectomy in patients with appendicitis: A retrospective comparison with Loop Ligature김석원(교육수련부,0), 전병호(외과,0)조상식(외과,)신의섭(외과,), 문선미(외과,)KCIAnnals of coloproctology2022-01-18
93942021-PAPR-04758Pre/post-natal exposure to microplastic as a potential risk factor for autism spectrum disorder자히르 자베리아(방사성의약품개발팀), 김현기(방사성의약품개발팀)김진수(방사성의약품개발팀,)고인옥(방사성의약품개발팀,.), 조은경(고려대,.), 이해준(의생명중개연구팀,.), 심인섭(경희대,.), 우현정(중앙대), 최종훈(중앙대), 김건하(소아청소년과), 최의주(고려대)SCIEEnvironment International2022-02-03
94952021-PAPR-04740Tankyrase-selective inhibitor STP1002 suppressing APC-mutant colorectal cancer cells shows preclinical antitumor efficacy without intestinal toxicity김동영(응용치료연구팀,0), 권영주(응용치료연구팀,0)김재성(응용치료연구팀,)서원용( 에스티팜,), 안서현(에스티팜), 김욱일(에스티팜), 최성미(에스티팜), 방형태(에스티팜), 김경진( 에스티팜)SCIEEuropean Journal of Cancer2022-07-01
95962021-PAPR-04732Metformin alleviates ionizing radiation-induced cellular senescence by restoring BARD1-mediated DNA repair in human aortic endothelial cells박정우(의생명중개연구팀,0)김광석(방사선의생명연구부,)박지은(의생명중개연구팀,), 심명규(의생명중개연구팀,), 강창모(생체반응연구팀,), 김소라(의생명중개연구팀,)SCIEExperimental Gerontology2022-01-24
96972021-PAPR-04704Radiation risk perception and its associated factors among residents living near nuclear power plants: A nationwide survey in Korea성효주(방사선역학담당), 김정언(방사선위해도평가팀)서성원(방사선역학담당)진영우(국가방사선비상진료센터,), 조혜미(고려대학교 구로병), 전재관(국립암센), 이달님(방사선역학담당,), 박선후(병리과)SCIENuclear Engineering and Technology2022-04-01
97982020-PAPR-04551The Prediction of HER2-Targeted Treatment Response Using 64Cu-Tetra-Azacyclododecanetetra-Acetic Acid (DOTA)-Trastuzumab PET/CT in Metastatic Breast Cancer: A Case Report이인기(RI중개연구팀)임일한(핵의학과), 노우철(외과,)변병현(핵의학과), 김병일(핵의학과), 최창운(핵의학과), 성민기(외과), 김현아(외과), 임상무(핵의학과)SCIEJournal of breast cancer2022-01-21