Overview

Dataset statistics

Number of variables6
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description한국원자력의학원 방사선의학연구소의 게재논문 실적(논문제목, 저자, 학술지명칭, 학술지게재일자등) 항목을 제공합니다.
Author한국원자력의학원
URLhttps://www.data.go.kr/data/15038586/fileData.do

Alerts

상태 has constant value ""Constant
순번 has unique valuesUnique
논문 제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:50:28.058459
Analysis finished2023-12-12 06:50:28.898585
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:50:28.978156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2023-12-12T15:50:29.161030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

논문 제목
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T15:50:29.410303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length202
Median length136
Mean length111.51351
Min length45

Characters and Unicode

Total characters12378
Distinct characters76
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st rowRole of commensal microbes in the γ-ray irradiation-induced physiological changes in Drosophila melanogaster
2nd rowGut bacterial dysbiosis in patients with intractable epilepsy
3rd rowExtracellular Acidosis Promotes Metastatic Potency via Decrease of the BMAL1 Circadian Clock Gene in Breast Cancer
4th rowTubulosine selectively inhibits JAK3 signalling by binding to the ATP-binding site of the kinase of JAK3
5th rowScopolin Attenuates Osteoporotic Bone Loss in Ovariectomized Mice
ValueCountFrequency (%)
of 90
 
5.6%
in 57
 
3.6%
and 42
 
2.6%
a 34
 
2.1%
for 29
 
1.8%
the 28
 
1.8%
cancer 28
 
1.8%
radiation 24
 
1.5%
using 20
 
1.3%
with 19
 
1.2%
Other values (839) 1223
76.7%
2023-12-12T15:50:29.941790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1489
 
12.0%
e 1010
 
8.2%
i 1006
 
8.1%
a 857
 
6.9%
n 844
 
6.8%
o 788
 
6.4%
t 736
 
5.9%
r 654
 
5.3%
s 581
 
4.7%
l 461
 
3.7%
Other values (66) 3952
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
77.6%
Space Separator 1489
 
12.0%
Uppercase Letter 992
 
8.0%
Dash Punctuation 118
 
1.0%
Decimal Number 114
 
0.9%
Other Punctuation 51
 
0.4%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1010
10.5%
i 1006
10.5%
a 857
 
8.9%
n 844
 
8.8%
o 788
 
8.2%
t 736
 
7.7%
r 654
 
6.8%
s 581
 
6.1%
l 461
 
4.8%
c 453
 
4.7%
Other values (17) 2210
23.0%
Uppercase Letter
ValueCountFrequency (%)
A 97
 
9.8%
T 88
 
8.9%
E 82
 
8.3%
C 79
 
8.0%
R 77
 
7.8%
P 66
 
6.7%
M 62
 
6.2%
I 58
 
5.8%
S 53
 
5.3%
D 50
 
5.0%
Other values (15) 280
28.2%
Decimal Number
ValueCountFrequency (%)
1 35
30.7%
2 21
18.4%
3 15
13.2%
4 9
 
7.9%
8 8
 
7.0%
0 7
 
6.1%
5 6
 
5.3%
6 6
 
5.3%
9 5
 
4.4%
7 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 18
35.3%
: 13
25.5%
/ 12
23.5%
. 3
 
5.9%
& 2
 
3.9%
' 2
 
3.9%
; 1
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 4
66.7%
[ 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4
66.7%
] 2
33.3%
Space Separator
ValueCountFrequency (%)
1489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10589
85.5%
Common 1786
 
14.4%
Greek 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1010
 
9.5%
i 1006
 
9.5%
a 857
 
8.1%
n 844
 
8.0%
o 788
 
7.4%
t 736
 
7.0%
r 654
 
6.2%
s 581
 
5.5%
l 461
 
4.4%
c 453
 
4.3%
Other values (41) 3199
30.2%
Common
ValueCountFrequency (%)
1489
83.4%
- 118
 
6.6%
1 35
 
2.0%
2 21
 
1.2%
, 18
 
1.0%
3 15
 
0.8%
: 13
 
0.7%
/ 12
 
0.7%
4 9
 
0.5%
8 8
 
0.4%
Other values (14) 48
 
2.7%
Greek
ValueCountFrequency (%)
γ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12373
> 99.9%
None 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1489
 
12.0%
e 1010
 
8.2%
i 1006
 
8.1%
a 857
 
6.9%
n 844
 
6.8%
o 788
 
6.4%
t 736
 
5.9%
r 654
 
5.3%
s 581
 
4.7%
l 461
 
3.7%
Other values (64) 3947
31.9%
None
ValueCountFrequency (%)
γ 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

저자
Text

Distinct81
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T15:50:30.201473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters555
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)55.0%

Sample

1st row김용중 외
2nd row김건하 외
3rd row박인철 외
4th row박인철 외
5th row최태현 외
ValueCountFrequency (%)
외 111
50.0%
김금배 4
 
1.8%
이인기 4
 
1.8%
하위호 3
 
1.4%
김교태 3
 
1.4%
차석기 3
 
1.4%
유인정 3
 
1.4%
민선홍 3
 
1.4%
홍성희 3
 
1.4%
박선후 2
 
0.9%
Other values (72) 83
37.4%
2023-12-12T15:50:30.668871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
20.0%
외 111
20.0%
김 30
 
5.4%
이 16
 
2.9%
정 12
 
2.2%
박 12
 
2.2%
인 11
 
2.0%
영 8
 
1.4%
기 8
 
1.4%
홍 8
 
1.4%
Other values (89) 228
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
80.0%
Space Separator 111
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
외 111
25.0%
김 30
 
6.8%
이 16
 
3.6%
정 12
 
2.7%
박 12
 
2.7%
인 11
 
2.5%
영 8
 
1.8%
기 8
 
1.8%
홍 8
 
1.8%
민 8
 
1.8%
Other values (88) 220
49.5%
Space Separator
ValueCountFrequency (%)
111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
80.0%
Common 111
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
외 111
25.0%
김 30
 
6.8%
이 16
 
3.6%
정 12
 
2.7%
박 12
 
2.7%
인 11
 
2.5%
영 8
 
1.8%
기 8
 
1.8%
홍 8
 
1.8%
민 8
 
1.8%
Other values (88) 220
49.5%
Common
ValueCountFrequency (%)
111
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
80.0%
ASCII 111
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
100.0%
Hangul
ValueCountFrequency (%)
외 111
25.0%
김 30
 
6.8%
이 16
 
3.6%
정 12
 
2.7%
박 12
 
2.7%
인 11
 
2.5%
영 8
 
1.8%
기 8
 
1.8%
홍 8
 
1.8%
민 8
 
1.8%
Other values (88) 220
49.5%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
논문실적확인서(완료)
111 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row논문실적확인서(완료)
2nd row논문실적확인서(완료)
3rd row논문실적확인서(완료)
4th row논문실적확인서(완료)
5th row논문실적확인서(완료)

Common Values

ValueCountFrequency (%)
논문실적확인서(완료) 111
100.0%

Length

2023-12-12T15:50:30.838648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:50:31.260449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
논문실적확인서(완료 111
100.0%

학술지명칭
Text

Distinct95
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-12T15:50:31.634889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length41
Mean length27.27027
Min length4

Characters and Unicode

Total characters3027
Distinct characters72
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

Unique81 ?
Unique (%)73.0%

Sample

1st rowmicroorganisms
2nd rowJournal of Clinical Medicine
3rd rowCells
4th rowJournal of Cellular and Molecular Medicine
5th rowNutrients
ValueCountFrequency (%)
of 37
 
9.6%
journal 33
 
8.5%
and 27
 
7.0%
research 14
 
3.6%
radiation 14
 
3.6%
medicine 12
 
3.1%
molecular 12
 
3.1%
international 10
 
2.6%
cancer 8
 
2.1%
the 7
 
1.8%
Other values (116) 213
55.0%
2023-12-12T15:50:32.252918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
 
9.2%
n 263
 
8.7%
e 260
 
8.6%
a 242
 
8.0%
o 228
 
7.5%
i 213
 
7.0%
r 173
 
5.7%
c 157
 
5.2%
l 154
 
5.1%
t 122
 
4.0%
Other values (62) 938
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2344
77.4%
Uppercase Letter 359
 
11.9%
Space Separator 277
 
9.2%
Other Letter 36
 
1.2%
Other Punctuation 11
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 263
11.2%
e 260
11.1%
a 242
10.3%
o 228
9.7%
i 213
9.1%
r 173
 
7.4%
c 157
 
6.7%
l 154
 
6.6%
t 122
 
5.2%
s 93
 
4.0%
Other values (14) 439
18.7%
Uppercase Letter
ValueCountFrequency (%)
M 39
10.9%
R 37
10.3%
J 34
9.5%
E 34
9.5%
I 31
8.6%
C 27
 
7.5%
S 24
 
6.7%
A 20
 
5.6%
N 19
 
5.3%
P 17
 
4.7%
Other values (13) 77
21.4%
Other Letter
ValueCountFrequency (%)
학 4
 
11.1%
회 4
 
11.1%
한 4
 
11.1%
지 3
 
8.3%
대 2
 
5.6%
의 2
 
5.6%
방 2
 
5.6%
국 2
 
5.6%
사 2
 
5.6%
상 1
 
2.8%
Other values (10) 10
27.8%
Other Punctuation
ValueCountFrequency (%)
& 5
45.5%
, 3
27.3%
: 2
 
18.2%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2703
89.3%
Common 288
 
9.5%
Hangul 36
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 263
 
9.7%
e 260
 
9.6%
a 242
 
9.0%
o 228
 
8.4%
i 213
 
7.9%
r 173
 
6.4%
c 157
 
5.8%
l 154
 
5.7%
t 122
 
4.5%
s 93
 
3.4%
Other values (37) 798
29.5%
Hangul
ValueCountFrequency (%)
학 4
 
11.1%
회 4
 
11.1%
한 4
 
11.1%
지 3
 
8.3%
대 2
 
5.6%
의 2
 
5.6%
방 2
 
5.6%
국 2
 
5.6%
사 2
 
5.6%
상 1
 
2.8%
Other values (10) 10
27.8%
Common
ValueCountFrequency (%)
277
96.2%
& 5
 
1.7%
, 3
 
1.0%
: 2
 
0.7%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2991
98.8%
Hangul 36
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
 
9.3%
n 263
 
8.8%
e 260
 
8.7%
a 242
 
8.1%
o 228
 
7.6%
i 213
 
7.1%
r 173
 
5.8%
c 157
 
5.2%
l 154
 
5.1%
t 122
 
4.1%
Other values (42) 902
30.2%
Hangul
ValueCountFrequency (%)
학 4
 
11.1%
회 4
 
11.1%
한 4
 
11.1%
지 3
 
8.3%
대 2
 
5.6%
의 2
 
5.6%
방 2
 
5.6%
국 2
 
5.6%
사 2
 
5.6%
상 1
 
2.8%
Other values (10) 10
27.8%

학술지게재일자
Date

Distinct83
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2020-01-01 00:00:00
Maximum2020-12-30 00:00:00
2023-12-12T15:50:32.479021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:50:32.662851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:50:28.669311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:50:32.783138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번저자학술지명칭학술지게재일자
순번1.0000.8150.4230.214
저자0.8151.0000.9260.933
학술지명칭0.4230.9261.0000.832
학술지게재일자0.2140.9330.8321.000

Missing values

2023-12-12T15:50:28.768383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:50:28.863486image/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

순번논문 제목저자상태학술지명칭학술지게재일자
01Role of commensal microbes in the γ-ray irradiation-induced physiological changes in Drosophila melanogaster김용중 외논문실적확인서(완료)microorganisms2020-12-24
12Gut bacterial dysbiosis in patients with intractable epilepsy김건하 외논문실적확인서(완료)Journal of Clinical Medicine2020-12-22
23Extracellular Acidosis Promotes Metastatic Potency via Decrease of the BMAL1 Circadian Clock Gene in Breast Cancer박인철 외논문실적확인서(완료)Cells2020-04-16
34Tubulosine selectively inhibits JAK3 signalling by binding to the ATP-binding site of the kinase of JAK3박인철 외논문실적확인서(완료)Journal of Cellular and Molecular Medicine2020-07-01
45Scopolin Attenuates Osteoporotic Bone Loss in Ovariectomized Mice최태현 외논문실적확인서(완료)Nutrients2020-11-20
5618F-Sodium fluoride PET/CT predicts overall survival in patientswith advanced genitourinary malignancies treated with cabozantiniband nivolumab with or without ipilimumab임일한 외논문실적확인서(완료)European Journal of Nuclear Medicine and Molecular Imaging2020-01-01
67A Feedback Loop Comprising EGF/TGFa SustainsTFCP2-Mediated Breast Cancer Progression김민정 외논문실적확인서(완료)Cancer Research2020-06-01
78Evaluation of electrical conductivity and anisotropy in muscle tissues using conductivity tensor imaging (CTI)고인옥 외논문실적확인서(완료)AIP Advences2020-10-29
89Shielding Capability Evaluation of Slit-shaped Structure for Scattered X-ray using Monte Carlo Method김상록 외논문실적확인서(완료)한국방사선학회2020-11-30
910Cancer cellspecific anticancer effects of Coptis chinensison gefitinibresistant lung cancer cells are mediatedthrough the suppression of Mcl1 and Bcl2박명진 외논문실적확인서(완료)International Journal of Oncology2020-06-01
순번논문 제목저자상태학술지명칭학술지게재일자
101102MKI-1 is a novel small-molecule inhibitor of MASTL with antitumor and radiosensitizer activity by PP2A-mediated c-Myc proteolysis in breast cancer김아영 외논문실적확인서(완료)Frontiers in Oncology2020-09-29
102103Role of adding ovarian suppression to tamoxifen in women with hormone-sensitive breast cancer who remain in premenopausal state or resume ovarian function after chemotherapy김현아 외논문실적확인서(완료)Journal of Clinical Oncology2020-02-10
103104Inhibition of Y box binding protein 1 suppresses cell growth and motility in colorectal cancer김아름 외논문실적확인서(완료)molecular cancer therapeutics2020-02-01
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