Overview

Dataset statistics

Number of variables5
Number of observations7512
Missing cells0
Missing cells (%)0.0%
Duplicate rows186
Duplicate rows (%)2.5%
Total size in memory300.9 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text4

Dataset

Description기초과학연구원(IBS) 출판 논문에 대한 정보입니다. 해당 데이터가 보유한 컬럼은 다음과 같습니다.
Author기초과학연구원
URLhttps://www.data.go.kr/data/3068833/fileData.do

Alerts

Dataset has 186 (2.5%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:44:12.944796
Analysis finished2023-12-12 04:44:14.250476
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출판연도
Real number (ℝ)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5003
Minimum2005
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.2 KiB
2023-12-12T13:44:14.304480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2014
Q12016
median2018
Q32019
95-th percentile2021
Maximum2022
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2610842
Coefficient of variation (CV)0.0011207355
Kurtosis-0.70046472
Mean2017.5003
Median Absolute Deviation (MAD)2
Skewness-0.27106555
Sum15155462
Variance5.1125016
MonotonicityNot monotonic
2023-12-12T13:44:14.433591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2020 1143
15.2%
2018 1104
14.7%
2019 1064
14.2%
2016 958
12.8%
2017 947
12.6%
2015 799
10.6%
2021 638
8.5%
2014 569
7.6%
2013 268
 
3.6%
2012 16
 
0.2%
Other values (5) 6
 
0.1%
ValueCountFrequency (%)
2005 2
 
< 0.1%
2009 1
 
< 0.1%
2010 1
 
< 0.1%
2011 1
 
< 0.1%
2012 16
 
0.2%
2013 268
 
3.6%
2014 569
7.6%
2015 799
10.6%
2016 958
12.8%
2017 947
12.6%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2021 638
8.5%
2020 1143
15.2%
2019 1064
14.2%
2018 1104
14.7%
2017 947
12.6%
2016 958
12.8%
2015 799
10.6%
2014 569
7.6%
2013 268
 
3.6%
Distinct121
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-12-12T13:44:14.968302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length260
Median length183
Mean length53.40828
Min length15

Characters and Unicode

Total characters401203
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowCenter for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단)
2nd rowCenter for Self-assembly and Complexity(복잡계 자기조립 연구단)
3rd rowCenter for Catalytic Hydrocarbon Functionalizations(분자활성 촉매반응 연구단)
4th rowCenter for Catalytic Hydrocarbon Functionalizations(분자활성 촉매반응 연구단)
5th rowCenter for Climate Physics(기후물리 연구단)
ValueCountFrequency (%)
for 7305
 
13.8%
연구단 7002
 
13.3%
center 6886
 
13.0%
and 2061
 
3.9%
1219
 
2.3%
nanostructure 749
 
1.4%
integrated 749
 
1.4%
physics(나노구조물리 749
 
1.4%
nanoparticle 658
 
1.2%
research(나노입자 658
 
1.2%
Other values (131) 24785
46.9%
2023-12-12T13:44:15.556749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45309
 
11.3%
e 34267
 
8.5%
r 26581
 
6.6%
n 23441
 
5.8%
t 21439
 
5.3%
o 20346
 
5.1%
a 17844
 
4.4%
i 16381
 
4.1%
s 12413
 
3.1%
c 12388
 
3.1%
Other values (144) 170794
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 238890
59.5%
Other Letter 70648
 
17.6%
Space Separator 45309
 
11.3%
Uppercase Letter 30085
 
7.5%
Close Punctuation 7598
 
1.9%
Open Punctuation 7598
 
1.9%
Other Punctuation 785
 
0.2%
Dash Punctuation 290
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8200
 
11.6%
7710
 
10.9%
7681
 
10.9%
3081
 
4.4%
2362
 
3.3%
2173
 
3.1%
2119
 
3.0%
2045
 
2.9%
1783
 
2.5%
1362
 
1.9%
Other values (96) 32132
45.5%
Lowercase Letter
ValueCountFrequency (%)
e 34267
14.3%
r 26581
11.1%
n 23441
9.8%
t 21439
9.0%
o 20346
8.5%
a 17844
 
7.5%
i 16381
 
6.9%
s 12413
 
5.2%
c 12388
 
5.2%
l 8757
 
3.7%
Other values (13) 45033
18.9%
Uppercase Letter
ValueCountFrequency (%)
C 10592
35.2%
N 2996
 
10.0%
R 2681
 
8.9%
S 2535
 
8.4%
P 2041
 
6.8%
M 1418
 
4.7%
I 1326
 
4.4%
A 1036
 
3.4%
E 899
 
3.0%
H 877
 
2.9%
Other values (9) 3684
 
12.2%
Other Punctuation
ValueCountFrequency (%)
; 596
75.9%
· 189
 
24.1%
Space Separator
ValueCountFrequency (%)
45309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7598
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7598
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 268975
67.0%
Hangul 70648
 
17.6%
Common 61580
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8200
 
11.6%
7710
 
10.9%
7681
 
10.9%
3081
 
4.4%
2362
 
3.3%
2173
 
3.1%
2119
 
3.0%
2045
 
2.9%
1783
 
2.5%
1362
 
1.9%
Other values (96) 32132
45.5%
Latin
ValueCountFrequency (%)
e 34267
12.7%
r 26581
 
9.9%
n 23441
 
8.7%
t 21439
 
8.0%
o 20346
 
7.6%
a 17844
 
6.6%
i 16381
 
6.1%
s 12413
 
4.6%
c 12388
 
4.6%
C 10592
 
3.9%
Other values (32) 73283
27.2%
Common
ValueCountFrequency (%)
45309
73.6%
) 7598
 
12.3%
( 7598
 
12.3%
; 596
 
1.0%
- 290
 
0.5%
· 189
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330366
82.3%
Hangul 70648
 
17.6%
None 189
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45309
13.7%
e 34267
 
10.4%
r 26581
 
8.0%
n 23441
 
7.1%
t 21439
 
6.5%
o 20346
 
6.2%
a 17844
 
5.4%
i 16381
 
5.0%
s 12413
 
3.8%
c 12388
 
3.7%
Other values (37) 99957
30.3%
Hangul
ValueCountFrequency (%)
8200
 
11.6%
7710
 
10.9%
7681
 
10.9%
3081
 
4.4%
2362
 
3.3%
2173
 
3.1%
2119
 
3.0%
2045
 
2.9%
1783
 
2.5%
1362
 
1.9%
Other values (96) 32132
45.5%
None
ValueCountFrequency (%)
· 189
100.0%
Distinct7312
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-12-12T13:44:15.956857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length173
Mean length93.543797
Min length8

Characters and Unicode

Total characters702701
Distinct characters154
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7124 ?
Unique (%)94.8%

Sample

1st row&quot;Invisible&quot; QCD axion rolling through the QCD phase transition
2nd row&amp;apos;Reverse Micellar Aggregates&amp;apos; in Phase Transfer Catalyzed Nucleophilic Displacement Reactions
3rd row(+)-Dimericbiscognienyne A: Total Synthesis and Mechanistic Investigations of the Key Heterodimerization
4th row(NHC)Cu-Catalyzed Mild C-H Amidation of (Hetero)arenes with Deprotectable Carbamates: Scope and Mechanistic Studies
5th row(Un)predictability of strong El Nino events
ValueCountFrequency (%)
of 4952
 
5.6%
and 2717
 
3.1%
in 2691
 
3.0%
the 2148
 
2.4%
for 1725
 
1.9%
a 1450
 
1.6%
with 959
 
1.1%
on 886
 
1.0%
by 837
 
0.9%
to 580
 
0.7%
Other values (15328) 69977
78.7%
2023-12-12T13:44:16.618074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81412
 
11.6%
e 61508
 
8.8%
i 51636
 
7.3%
n 47411
 
6.7%
o 47189
 
6.7%
a 46736
 
6.7%
t 45774
 
6.5%
r 38207
 
5.4%
s 31641
 
4.5%
l 28350
 
4.0%
Other values (144) 222837
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 559065
79.6%
Space Separator 81412
 
11.6%
Uppercase Letter 45287
 
6.4%
Dash Punctuation 7643
 
1.1%
Decimal Number 4641
 
0.7%
Other Punctuation 2902
 
0.4%
Open Punctuation 725
 
0.1%
Close Punctuation 725
 
0.1%
Math Symbol 205
 
< 0.1%
Other Letter 42
 
< 0.1%
Other values (6) 54
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 61508
11.0%
i 51636
 
9.2%
n 47411
 
8.5%
o 47189
 
8.4%
a 46736
 
8.4%
t 45774
 
8.2%
r 38207
 
6.8%
s 31641
 
5.7%
l 28350
 
5.1%
c 25972
 
4.6%
Other values (34) 134641
24.1%
Other Letter
ValueCountFrequency (%)
3
 
7.1%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Other values (23) 23
54.8%
Uppercase Letter
ValueCountFrequency (%)
S 4703
 
10.4%
C 4211
 
9.3%
A 3453
 
7.6%
P 2924
 
6.5%
M 2855
 
6.3%
T 2747
 
6.1%
D 2513
 
5.5%
R 2511
 
5.5%
I 2492
 
5.5%
E 2295
 
5.1%
Other values (18) 14583
32.2%
Other Punctuation
ValueCountFrequency (%)
: 822
28.3%
, 716
24.7%
/ 411
14.2%
? 305
 
10.5%
; 229
 
7.9%
. 204
 
7.0%
& 140
 
4.8%
@ 39
 
1.3%
13
 
0.4%
* 12
 
0.4%
Other values (4) 11
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 1394
30.0%
1 999
21.5%
3 672
14.5%
0 422
 
9.1%
4 309
 
6.7%
5 222
 
4.8%
7 186
 
4.0%
9 166
 
3.6%
6 151
 
3.3%
8 120
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 125
61.0%
= 59
28.8%
8
 
3.9%
× 6
 
2.9%
3
 
1.5%
1
 
0.5%
± 1
 
0.5%
1
 
0.5%
1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 651
89.8%
[ 70
 
9.7%
{ 4
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 651
89.8%
] 70
 
9.7%
} 4
 
0.6%
Final Punctuation
ValueCountFrequency (%)
25
78.1%
7
 
21.9%
Initial Punctuation
ValueCountFrequency (%)
7
63.6%
4
36.4%
Space Separator
ValueCountFrequency (%)
81412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7643
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 604162
86.0%
Common 98307
 
14.0%
Greek 190
 
< 0.1%
Hangul 42
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 61508
 
10.2%
i 51636
 
8.5%
n 47411
 
7.8%
o 47189
 
7.8%
a 46736
 
7.7%
t 45774
 
7.6%
r 38207
 
6.3%
s 31641
 
5.2%
l 28350
 
4.7%
c 25972
 
4.3%
Other values (43) 179738
29.7%
Common
ValueCountFrequency (%)
81412
82.8%
- 7643
 
7.8%
2 1394
 
1.4%
1 999
 
1.0%
: 822
 
0.8%
, 716
 
0.7%
3 672
 
0.7%
( 651
 
0.7%
) 651
 
0.7%
0 422
 
0.4%
Other values (39) 2925
 
3.0%
Hangul
ValueCountFrequency (%)
3
 
7.1%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Other values (23) 23
54.8%
Greek
ValueCountFrequency (%)
β 51
26.8%
α 39
20.5%
γ 21
11.1%
μ 18
 
9.5%
π 17
 
8.9%
ν 10
 
5.3%
δ 8
 
4.2%
Δ 6
 
3.2%
σ 3
 
1.6%
τ 3
 
1.6%
Other values (9) 14
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 702385
> 99.9%
None 205
 
< 0.1%
Punctuation 56
 
< 0.1%
Hangul 42
 
< 0.1%
Arrows 9
 
< 0.1%
Math Operators 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81412
 
11.6%
e 61508
 
8.8%
i 51636
 
7.4%
n 47411
 
6.8%
o 47189
 
6.7%
a 46736
 
6.7%
t 45774
 
6.5%
r 38207
 
5.4%
s 31641
 
4.5%
l 28350
 
4.0%
Other values (76) 222521
31.7%
None
ValueCountFrequency (%)
β 51
24.9%
α 39
19.0%
γ 21
10.2%
μ 18
 
8.8%
π 17
 
8.3%
ν 10
 
4.9%
δ 8
 
3.9%
Δ 6
 
2.9%
× 6
 
2.9%
ø 4
 
2.0%
Other values (16) 25
12.2%
Punctuation
ValueCountFrequency (%)
25
44.6%
13
23.2%
7
 
12.5%
7
 
12.5%
4
 
7.1%
Arrows
ValueCountFrequency (%)
8
88.9%
1
 
11.1%
Hangul
ValueCountFrequency (%)
3
 
7.1%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Other values (23) 23
54.8%
Math Operators
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Distinct1296
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-12-12T13:44:16.960754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length66
Mean length24.998403
Min length3

Characters and Unicode

Total characters187788
Distinct characters93
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

Unique652 ?
Unique (%)8.7%

Sample

1st rowPHYSICS LETTERS B
2nd rowCHEMISTRYSELECT
3rd rowORGANIC LETTERS
4th rowJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
5th rowDynamics and Statistics of the Climate System
ValueCountFrequency (%)
of 2106
 
8.4%
journal 1624
 
6.5%
physical 1100
 
4.4%
physics 839
 
3.3%
materials 796
 
3.2%
review 775
 
3.1%
letters 597
 
2.4%
and 582
 
2.3%
the 559
 
2.2%
chemistry 542
 
2.2%
Other values (914) 15582
62.1%
2023-12-12T13:44:17.580179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17591
 
9.4%
E 17248
 
9.2%
A 15042
 
8.0%
I 13214
 
7.0%
C 12312
 
6.6%
N 11897
 
6.3%
S 11745
 
6.3%
O 10919
 
5.8%
R 10629
 
5.7%
T 10041
 
5.3%
Other values (83) 57150
30.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 158656
84.5%
Space Separator 17591
 
9.4%
Lowercase Letter 10529
 
5.6%
Dash Punctuation 461
 
0.2%
Other Punctuation 429
 
0.2%
Other Letter 79
 
< 0.1%
Decimal Number 31
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
11.4%
8
 
10.1%
7
 
8.9%
7
 
8.9%
7
 
8.9%
5
 
6.3%
5
 
6.3%
5
 
6.3%
2
 
2.5%
2
 
2.5%
Other values (20) 22
27.8%
Uppercase Letter
ValueCountFrequency (%)
E 17248
10.9%
A 15042
9.5%
I 13214
 
8.3%
C 12312
 
7.8%
N 11897
 
7.5%
S 11745
 
7.4%
O 10919
 
6.9%
R 10629
 
6.7%
T 10041
 
6.3%
L 8499
 
5.4%
Other values (16) 37110
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 1222
11.6%
i 975
9.3%
a 941
8.9%
n 911
8.7%
o 806
 
7.7%
r 742
 
7.0%
c 735
 
7.0%
s 713
 
6.8%
t 693
 
6.6%
l 558
 
5.3%
Other values (16) 2233
21.2%
Other Punctuation
ValueCountFrequency (%)
& 358
83.4%
: 33
 
7.7%
, 27
 
6.3%
; 7
 
1.6%
. 4
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 30
96.8%
3 1
 
3.2%
Space Separator
ValueCountFrequency (%)
17591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 169185
90.1%
Common 18524
 
9.9%
Hangul 79
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 17248
 
10.2%
A 15042
 
8.9%
I 13214
 
7.8%
C 12312
 
7.3%
N 11897
 
7.0%
S 11745
 
6.9%
O 10919
 
6.5%
R 10629
 
6.3%
T 10041
 
5.9%
L 8499
 
5.0%
Other values (42) 47639
28.2%
Hangul
ValueCountFrequency (%)
9
11.4%
8
 
10.1%
7
 
8.9%
7
 
8.9%
7
 
8.9%
5
 
6.3%
5
 
6.3%
5
 
6.3%
2
 
2.5%
2
 
2.5%
Other values (20) 22
27.8%
Common
ValueCountFrequency (%)
17591
95.0%
- 461
 
2.5%
& 358
 
1.9%
: 33
 
0.2%
2 30
 
0.2%
, 27
 
0.1%
; 7
 
< 0.1%
) 6
 
< 0.1%
( 6
 
< 0.1%
. 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187709
> 99.9%
Hangul 79
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17591
 
9.4%
E 17248
 
9.2%
A 15042
 
8.0%
I 13214
 
7.0%
C 12312
 
6.6%
N 11897
 
6.3%
S 11745
 
6.3%
O 10919
 
5.8%
R 10629
 
5.7%
T 10041
 
5.3%
Other values (53) 57071
30.4%
Hangul
ValueCountFrequency (%)
9
11.4%
8
 
10.1%
7
 
8.9%
7
 
8.9%
7
 
8.9%
5
 
6.3%
5
 
6.3%
5
 
6.3%
2
 
2.5%
2
 
2.5%
Other values (20) 22
27.8%
Distinct7147
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-12-12T13:44:18.132015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length582
Mean length102.74614
Min length3

Characters and Unicode

Total characters771829
Distinct characters150
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6849 ?
Unique (%)91.2%

Sample

1st rowJihn E. Kim;Se-Jin Kim
2nd rowAnnadka Shrinidhi
3rd rowGeon Kim;Myungjo J. Kim;Garam Chung;Hee-Yoon Lee;Sunkyu Han
4th rowWeilong Xie;Jung Hee Yoon;Sukbok Chang
5th rowJohn Guckenheimer;Axel Timmermann;Henk Dijkstra;Andrew Roberts
ValueCountFrequency (%)
kim 1064
 
1.3%
lee 680
 
0.8%
young 654
 
0.8%
hee 621
 
0.7%
park 506
 
0.6%
s 433
 
0.5%
j 419
 
0.5%
min 374
 
0.4%
a 333
 
0.4%
sung 291
 
0.3%
Other values (42361) 78983
93.6%
2023-12-12T13:44:18.920887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76972
 
10.0%
n 60957
 
7.9%
; 55384
 
7.2%
o 50943
 
6.6%
e 46225
 
6.0%
a 45454
 
5.9%
i 38458
 
5.0%
u 30500
 
4.0%
g 28044
 
3.6%
. 23932
 
3.1%
Other values (140) 314960
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 435673
56.4%
Uppercase Letter 157191
 
20.4%
Other Punctuation 93991
 
12.2%
Space Separator 76972
 
10.0%
Dash Punctuation 7698
 
1.0%
Other Letter 207
 
< 0.1%
Modifier Symbol 47
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Final Punctuation 13
 
< 0.1%
Close Punctuation 13
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
8.7%
17
 
8.2%
16
 
7.7%
8
 
3.9%
7
 
3.4%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
Other values (62) 110
53.1%
Lowercase Letter
ValueCountFrequency (%)
n 60957
14.0%
o 50943
11.7%
e 46225
10.6%
a 45454
10.4%
i 38458
8.8%
u 30500
 
7.0%
g 28044
 
6.4%
h 21527
 
4.9%
r 16471
 
3.8%
m 15957
 
3.7%
Other values (21) 81137
18.6%
Uppercase Letter
ValueCountFrequency (%)
K 18367
11.7%
S 16887
 
10.7%
J 16037
 
10.2%
H 15089
 
9.6%
Y 10154
 
6.5%
L 8999
 
5.7%
C 8838
 
5.6%
M 8342
 
5.3%
P 5681
 
3.6%
D 5463
 
3.5%
Other values (18) 43334
27.6%
Modifier Symbol
ValueCountFrequency (%)
´ 22
46.8%
¨ 20
42.6%
` 2
 
4.3%
˘ 1
 
2.1%
˙ 1
 
2.1%
^ 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
; 55384
58.9%
. 23932
25.5%
, 13896
 
14.8%
? 761
 
0.8%
& 18
 
< 0.1%
Space Separator
ValueCountFrequency (%)
76972
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Final Punctuation
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Modifier Letter
ValueCountFrequency (%)
ˇ 5
100.0%
Currency Symbol
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 592864
76.8%
Common 178758
 
23.2%
Hangul 207
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
8.7%
17
 
8.2%
16
 
7.7%
8
 
3.9%
7
 
3.4%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
Other values (62) 110
53.1%
Latin
ValueCountFrequency (%)
n 60957
 
10.3%
o 50943
 
8.6%
e 46225
 
7.8%
a 45454
 
7.7%
i 38458
 
6.5%
u 30500
 
5.1%
g 28044
 
4.7%
h 21527
 
3.6%
K 18367
 
3.1%
S 16887
 
2.8%
Other values (49) 235502
39.7%
Common
ValueCountFrequency (%)
76972
43.1%
; 55384
31.0%
. 23932
 
13.4%
, 13896
 
7.8%
- 7698
 
4.3%
? 761
 
0.4%
´ 22
 
< 0.1%
¨ 20
 
< 0.1%
& 18
 
< 0.1%
( 14
 
< 0.1%
Other values (9) 41
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 771505
> 99.9%
Hangul 207
 
< 0.1%
None 93
 
< 0.1%
Punctuation 13
 
< 0.1%
Modifier Letters 7
 
< 0.1%
Currency Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76972
 
10.0%
n 60957
 
7.9%
; 55384
 
7.2%
o 50943
 
6.6%
e 46225
 
6.0%
a 45454
 
5.9%
i 38458
 
5.0%
u 30500
 
4.0%
g 28044
 
3.6%
. 23932
 
3.1%
Other values (54) 314636
40.8%
None
ValueCountFrequency (%)
ł 31
33.3%
´ 22
23.7%
¨ 20
21.5%
ø 9
 
9.7%
ı 6
 
6.5%
Ø 2
 
2.2%
æ 1
 
1.1%
ß 1
 
1.1%
Ł 1
 
1.1%
Hangul
ValueCountFrequency (%)
18
 
8.7%
17
 
8.2%
16
 
7.7%
8
 
3.9%
7
 
3.4%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
6
 
2.9%
Other values (62) 110
53.1%
Punctuation
ValueCountFrequency (%)
13
100.0%
Modifier Letters
ValueCountFrequency (%)
ˇ 5
71.4%
˘ 1
 
14.3%
˙ 1
 
14.3%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

Interactions

2023-12-12T13:44:13.963740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:44:14.094966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:44:14.202812image/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

출판연도연구단명논문명저널명저자 (공동저자)
02018Center for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단)&quot;Invisible&quot; QCD axion rolling through the QCD phase transitionPHYSICS LETTERS BJihn E. Kim;Se-Jin Kim
12016Center for Self-assembly and Complexity(복잡계 자기조립 연구단)&amp;apos;Reverse Micellar Aggregates&amp;apos; in Phase Transfer Catalyzed Nucleophilic Displacement ReactionsCHEMISTRYSELECTAnnadka Shrinidhi
22018Center for Catalytic Hydrocarbon Functionalizations(분자활성 촉매반응 연구단)(+)-Dimericbiscognienyne A: Total Synthesis and Mechanistic Investigations of the Key HeterodimerizationORGANIC LETTERSGeon Kim;Myungjo J. Kim;Garam Chung;Hee-Yoon Lee;Sunkyu Han
32016Center for Catalytic Hydrocarbon Functionalizations(분자활성 촉매반응 연구단)(NHC)Cu-Catalyzed Mild C-H Amidation of (Hetero)arenes with Deprotectable Carbamates: Scope and Mechanistic StudiesJOURNAL OF THE AMERICAN CHEMICAL SOCIETYWeilong Xie;Jung Hee Yoon;Sukbok Chang
42017Center for Climate Physics(기후물리 연구단)(Un)predictability of strong El Nino eventsDynamics and Statistics of the Climate SystemJohn Guckenheimer;Axel Timmermann;Henk Dijkstra;Andrew Roberts
52019Center for Molecular Spectroscopy and Dynamics(분자 분광학 및 동력학 연구단)1,1-Dimethylpyrrolidinium tetrafluoroborate as novel salt for high-voltage electric double-layer capacitorsELECTROCHIMICA ACTANguyen, Hoai Van. T;Kyungwon Kwak;Lee Kyung-Koo
62016Center for Relativistic Laser Science(초강력 레이저과학 연구단)100-kHz 22-fs Ti:sapphire regenerative amplification laser with programmable spectral controlAPPLIED PHYSICS B-LASERS AND OPTICSJae Hee Sung;Hwang Woon Lee;Chang Hee Nam;Seong Ku Lee
72017Center for Soft and Living Matter(첨단연성물질 연구단)13. Freiburger Symposium 2017: Green Chemistry ?from Concept to Industrial Reality(Synthetic Design with the Chematica Program ? The Importance of Accurate Rules and of Higherorder Logic)CHIMIABartosz A. Grzybowski;Sara Szymkuc;Karol Molga;Ewa P. Gajewska;Agnieszka Wolos
82020Center for Artificial Low Dimensional Electronic Systems(원자제어 저차원 전자계 연구단)1D topological phases in transition-metal monochalcogenide nanowiresNANOSCALEKyung-Hwan Jin;Feng Liu
92015Center for Nanomaterials and Chemical Reactions(나노물질 및 화학반응 연구단)1H NMR Chiral Analysis of Charged Molecules via Ion Pairing with Aluminum ComplexesJOURNAL OF THE AMERICAN CHEMICAL SOCIETYSeo, M.-S.;Hyunwoo Kim
출판연도연구단명논문명저널명저자 (공동저자)
75022018Center for Integrated Nanostructure Physics(나노구조물리 연구단)van der Waals Metallic Transition Metal DichalcogenidesCHEMICAL REVIEWSGang Hee Han;Dinh Loc Duong;Dong Hoon Keum;Seok Joon Yun;Young Hee Lee
75032021Center for Neuroscience Imaging Research (뇌과학 이미징 연구단)?Tongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In VivoJournal of Visualized ExperimentsJisoo Han;Choi, Pyonggang;Choi, Myunghwan
75042020Center for Soft and Living Matter(첨단연성물질 연구단)αβDCA method identifies unspecific binding but specific disruption of the group I intron by the StpA chaperoneRNAVladimir Reinharz;Tsvi Tlusty
75052016HiddenCommunityβ decay of semi-magic Cd 130: Revision and extension of the level scheme of In 130PHYSICAL REVIEW CJungclaus A.;Grawe H.;Nishimura S.;Doornenbal P.;Lorusso G.;Simpson G.S.;S?derstr?m P.-A.;Sumikama T.;Taprogge J.;Xu Z.Y.;Baba H.;Browne F.;Fukuda N.;Gernh?user R.;Gey G.;Inabe N.;Isobe T.;Jung H.S.;Kameda D.;Gi Dong Kim;Yong Kyun Kim;Kojouharov I.;Kubo T.;Kurz N.;Young Kwan Kwon;Li Z.;Sakurai H.;Schaffner H.;Shimizu Y.;Steiger K.;Suzuki H.;Takeda H.;Vajta Z.;Watanabe H.;Wu J.;Yagi A.;Yoshinaga K.;Benzoni G.;B?nig S.;Chae K.Y.;Coraggio L.;Daugas J.-M.;Drouet F.;Gadea A.;Gargano A.;Ilieva S.;Itaco N.;Kondev F.G.;Kr?ll T.;Lane G.J.;Montaner-Piz? A.;Moschner K.;M?cher D.;Naqvi F.;Niikura M.;Nishibata H.;Odahara A.;Orlandi R.;Patel Z.;Podoly?k Z.;Wendt A.
75062018HiddenCommunityβ decays of the heaviest N = Z ? 1 nuclei and proton instability of 97InPHYSICAL REVIEW CPark J.;Kr?cken R.;Lubos D.;Gernh?user R.;Lewitowicz M.;Nishimura S.;Ahn D.S.;Baba H.;Blank B.;Blazhev A.;Boutachkov P.;Browne F.;?elikovi? I.;De France G.;Doornenbal P.;Faestermann T.;Fang Y.;Fukuda N.;Giovinazzo J.;Goel N.;G?rska M.;Grawe H.;Ilieva S.;Inabe N.;Isobe T.;Jungclaus A.;Kameda D.;Kim G.D.;Kim Y.-K.;Kojouharov I.;Kubo T.;Kurz N.;Lorusso G.;Moschner K.;Murai D.;Nishizuka I.;Patel Z.;Rajabali M.M.;Rice S.;Sakurai H.;Schaffner H.;Shimizu Y.;Sinclair L.;S?derstr?m P.-A.;Steiger K.;Sumikama T.;Suzuki H.;Takeda H.;Wang Z.;Watanabe H.;Wu J.;Xu Z.Y.
75072015HiddenCommunityβ-Decay Half-Lives of 110 Neutron-Rich Nuclei across the N = 82 Shell Gap: Implications for the Mechanism and Universality of the Astrophysical r ProcessPHYSICAL REVIEW LETTERSLorusso G.;Nishimura S.;Xu Z.Y.;Jungclaus A.;Shimizu Y.;Simpson G.S.;Soderstrom P.-A.;Watanabe H.;Browne F.;Doornenbal P.;Gey G.;Jung H.S.;Meyer B.;Sumikama T.;Taprogge J.;Vajta Zs.;Wu J.;Baba H.;Benzoni G.;Chae K.Y.;Crespi F.C.L.;Fukuda N.;Gernhauser R.;Inabe N.;Isobe T.;Kajino T.;Kameda D.;Gi Dong Kim;Yong Kyun Kim;Kojouharov I.;Kondev F.G.;Kubo T.;Kurz N.;Young Kwan Kwon;Lane G.J.;Li Z.;Montaner-Piza A.;Moschner K.;Naqvi F.;Niikura M.;Nishibata H.;Odahara A.;Orlandi R.;Patel Z.;Podolyak Zs.;Sakurai H.;Schaffner H.;Schury P.;Shibagaki S.;Steiger K.;Suzuki H.;Takeda H.;Wendt A.;Yagi A.;Yoshinaga K.
75082015Center for Molecular Spectroscopy and Dynamics(분자 분광학 및 동력학 연구단)β-Isocyanoalanine as an IR probe: comparison of vibrational dynamics between isonitrile and nitrile-derivatized IR probesPHYSICAL CHEMISTRY CHEMICAL PHYSICSMichał Maj;Changwoo Ahn;Dorota Kossowska;Kwanghee Park;Kyungwon Kwak;Hogyu Han;Minhaeng Cho
75092016HiddenCommunityμ s isomers of Nd 158,160PHYSICAL REVIEW CE. Ideguchi;G. S. Simpson;R. Yokoyama;Mn. Tanaka;S. Nishimura;P. Doornenbal;G. Lorusso;P.-A. S¨oderstr¨om;T. Sumikama;J. Wu;Z. Y. Xu;N. Aoi;H. Baba;F. L. Bello Garrote;G. Benzoni;F. Browne;R. Daido;Y. Fang;N. Fukuda;A. Gottardo;G. Gey;S. Go;N. Inabe;T. Isobe;D. Kameda;K. Kobayashi;M. Kobayashi;I. Kojouharov;T. Komatsubara;T. Kubo;N. Kurz;I. Kuti;Z. Li;M. Matsushita;S. Michimasa;C.-B. Moon;H. Nishibata;I. Nishizuka;A. Odahara;Z. Patel;S. Rice;E. Sahin;H. Sakurai;H. Schaffner;L. Sinclair;H. Suzuki;H. Takeda;J. Taprogge;Zs. Vajta;H. Watanabe;A. Yagi
75102014HiddenCommunity연구성과의 기술이전 및 사업화 촉진요인 도출 및 실증분석벤처창업연구구본철
75112017HiddenCommunity초전도 대전류 입자가속기Superconductivity & CryogenicsJongwon Kim

Duplicate rows

Most frequently occurring

출판연도연구단명논문명저널명저자 (공동저자)# duplicates
482016Center for Synaptic Brain Dysfunctions(시냅스 뇌질환 연구단);Center for Cognition and Sociality(인지 및 사회성 연구단);Protein Communication Group(단백질 커뮤니케이션 그룹);Pioneer Research Center for Biomolecular and Cellular Structure(바이오분자 및 세포구조 연구단)SALM4 suppresses excitatory synapse development by cis-inhibiting trans-synaptic SALM3-LAR adhesionNATURE COMMUNICATIONSEunkyung Lie;Ji Seung Ko;Su-Yeon Choi;Junyeop Daniel Roh;Yi Sul Cho;Ran Noh;Doyoun Kim;Yan Li;Hyeyeon Kang;Tae-Yong Choi;Jungyoung Nam;Won Mah;Dongmin Lee;Seung-Gyu Lee;Ho Min Kim;Hyun Kim;Se-Young Choi;Ji Won Um;Myoung-Goo Kang;Yong Chul Bae;Jaewon Ko;Eunjoon Kim3
592017Academy of Immunology and Microbiology(면역 미생물 공생 연구단);Center for Self-assembly and Complexity(복잡계 자기조립 연구단);Center for Plant Aging Research (식물 노화·수명 연구단)Gut-specific Delivery of T-helper 17 Cells Reduces Obesity and Insulin Resistance in MiceGASTROENTEROLOGYChun-Pyo Hong;Park, Areum;Yang, Bo-Gie;Yun, Chang Ho;Kwak, Min-Jung;Gil-Woo Lee;Kim, Jung-Hwan;Min Seong Jang;Eun-Jung Lee;Eun-Ji Jeun;You, Gihoon;Kim, Kwang Soon;Choi, Youngwoo;Park, Ji-Hwan;Hwang, Daehee;Im, Sin-Hyeog;Kim, Jihyun F.;Kim, Yoon-Keun;Seoh, Ju-Young;Surh, Charles D.;Kim, You-Me;Jang, Myoung Ho3
602017Center for Artificial Low Dimensional Electronic Systems(원자제어 저차원 전자계 연구단);Center for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단);Center for Quantum Nanoscience(양자나노과학 연구단)Switching Magnetism and Superconductivity with Spin-Polarized Current in Iron-Based SuperconductorPHYSICAL REVIEW LETTERSSeokhwan Choi;Hyoung Joon Choi;Jong Mok Ok;Yeonghoon Lee;Won-Jun Jang;Alex Taekyung Lee;Young Kuk;SungBin Lee;Andreas J. Heinrich;Sang-Wook Cheong;Yunkyu Bang;Steven Johnston;Jun Sung Kim;Jihnhwan Lee3
922018Center for Genome Engineering(유전체 교정 연구단);Center for Cognition and Sociality(인지 및 사회성 연구단);Social Neuroscience Group(사회성 뇌과학 그룹);Center for Cognition and Sociality(인지 및 사회성 연구단)Targeted knockout of a chemokine-like gene increases anxiety and fear responsesPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAJung-Hwa Choi;Yun-Mi Jeong;Sujin Kim;Boyoung Lee;Kirishan Ariyasiri;Hyun-Taek Kim;Seung-Hyun Jung;Kyu-Seok Hwang;Tae-IK Choi;Chul O Park;Won-Ki Huh;Matthias Carl;Jill A. Rosenfeld;Salmo Raskin;Alan Ma;Jozef Gecz;Hyung-Goo Kim;Jin-Soo Kim;Ho-Chul Shin;Doo-Sang Park;Robert Gerlai;Bradley B. Jamieson;Joon S. Kim;Karl J. Iremonger;Sang H. Lee;Hee-Sup Shin;Cheol-Hee Kim3
1432020Center for Cognition and Sociality(인지 및 사회성 연구단);Cognitive Glioscience Group(인지 교세포과학 그룹);Center for Cognition and Sociality(인지 및 사회성 연구단);Center for RNA Research(RNA 연구단)Development of a Laboratory-safe and Low-cost Detection Protocol for SARS-CoV-2 of the Coronavirus Disease 2019 (COVID-19)EXPERIMENTAL NEUROBIOLOGYJoungha Won;Solji Lee;Myungsun Park;Tai Young Kim;Mingu Gordon Park;Byung Yoon Choi;Dongwan Kim;Hyeshik Chang;V. Narry Kim;C. Justin Lee3
1442020Center for Cognition and Sociality(인지 및 사회성 연구단);Protein Communication Group(단백질 커뮤니케이션 그룹);Pioneer Research Center for Biomolecular and Cellular Structure(바이오분자 및 세포구조 연구단);Social Neuroscience Group(사회성 뇌과학 그룹);Center for Cognition and Sociality(인지 및 사회성 연구단)Non-invasive optical control of endogenous Ca2+ channels in awake miceNATURE COMMUNICATIONSKim S.;Taeyoon Kyung;Chung J.-H.;Nury, Kim;Sehoon Keum;Lee J.;Park H.;Ho Min Kim;Sangkyu Lee;Hee-Sup Shin;Won Do Heo3
1532020Center for Exotic Nuclear Studies(희귀 핵 연구단);Center for Underground Physics(지하실험 연구단);Center for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단)Measurement of the Background Activities of a 100Mo-enriched Powder Sample for an AMoRE Crystal Material by Using a Single High-Purity Germanium DetectorJOURNAL OF THE KOREAN PHYSICAL SOCIETYSu-yeon Park;Insik Hahn;Woon Gu Kang;Gowoon Kim;Eunkyung Lee;Douglas S. Leonard;Vladimir Kazalov;Yeong Duk Kim;Moo Hyun Lee;Elena Sala3
1632020Center for Neuroscience Imaging Research (뇌과학 이미징 연구단);Cognitive Glioscience Group(인지 교세포과학 그룹);Center for Cognition and Sociality(인지 및 사회성 연구단);Center for Cognition and Sociality(인지 및 사회성 연구단)Excitation-inhibition imbalance leads to alteration of neuronal coherence and neurovascular coupling under acute stressJOURNAL OF NEUROSCIENCEKayoung Han;Myunghee Lee;Hyun-Kyoung Lim;Minwoo Wendy Jang;Jea Kwon;C. Justin Lee;Seong-Gi Kim;Minah Suh3
1652020Center for Self-assembly and Complexity(복잡계 자기조립 연구단);Center for Catalytic Hydrocarbon Functionalizations(분자활성 촉매반응 연구단);Center for Artificial Low Dimensional Electronic Systems(원자제어 저차원 전자계 연구단)Solution-Processable, Crystalline π-Conjugated Two-Dimensional Polymers with High Charge Carrier MobilityCHEMSamik Jhulki;Jeehong Kim;In-Chul Hwang;Golam Haider;Jiyong Park;Ji Young Park;Yeonsang Lee;Wooseup Hwang;Ajaz Ahmed Dar;Barun Dhara;Sang Hoon Lee;Juho Kim;Jin Young Koo;Moon Ho Jo;Chan-Cuk Hwang;Young Hwa Jung;Youngsin Park;Monika Kataria;Yang-Fang Chen;Seung-Hoon Jhi;Mu-Hyun Baik;Kangkyun Baek;Kimoon Kim3
1832021Center for Underground Physics(지하실험 연구단);Center for Exotic Nuclear Studies(희귀 핵 연구단);Center for Axion and Precision Physics Research(액시온 및 극한상호작용 연구단)Development of an array of fourteen HPGe detectors having 70% relative efficiency eachNUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENTDouglas, Leonard;Kevin Insik Hahn;Woon Gu Kang;Kazalov, V.;Gowoon Kim;Yeongduk Kim;Eun Kyoung Lee;Moo Hyun Lee;Park, S.Y.;Elena Sala3