Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Categorical2
Numeric1
Text3

Dataset

Description한국산업기술진흥원의 통합사업관리 시스템에 등재된 정보입니다. NTIS 논문 정보로 성과발생년도, 학술지명, 논문명, 주저자명, SCI 구분코드 등의 항목을 제공합니다.
Author한국산업기술진흥원
URLhttps://www.data.go.kr/data/15071145/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
성과발생년도 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 성과발생년도High correlation

Reproduction

Analysis started2024-03-14 10:08:15.190622
Analysis finished2024-03-14 10:08:17.953209
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
최종확정
6025 
성과입력
3975 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성과입력
2nd row최종확정
3rd row최종확정
4th row최종확정
5th row성과입력

Common Values

ValueCountFrequency (%)
최종확정 6025
60.2%
성과입력 3975
39.8%

Length

2024-03-14T19:08:18.062504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:08:18.267437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최종확정 6025
60.2%
성과입력 3975
39.8%

성과발생년도
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.5329
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:08:18.473824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2010
Q12013
median2014
Q32019
95-th percentile2023
Maximum2023
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9511364
Coefficient of variation (CV)0.0019603433
Kurtosis-0.92698341
Mean2015.5329
Median Absolute Deviation (MAD)3
Skewness0.28996859
Sum20155329
Variance15.611479
MonotonicityNot monotonic
2024-03-14T19:08:18.682867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2013 1495
14.9%
2014 1378
13.8%
2023 722
 
7.2%
2021 714
 
7.1%
2017 704
 
7.0%
2012 670
 
6.7%
2018 664
 
6.6%
2020 618
 
6.2%
2019 586
 
5.9%
2015 545
 
5.5%
Other values (7) 1904
19.0%
ValueCountFrequency (%)
2005 1
 
< 0.1%
2008 2
 
< 0.1%
2009 496
 
5.0%
2010 499
 
5.0%
2011 534
 
5.3%
2012 670
6.7%
2013 1495
14.9%
2014 1378
13.8%
2015 545
 
5.5%
2016 360
 
3.6%
ValueCountFrequency (%)
2023 722
7.2%
2022 12
 
0.1%
2021 714
7.1%
2020 618
6.2%
2019 586
5.9%
2018 664
6.6%
2017 704
7.0%
2016 360
 
3.6%
2015 545
 
5.5%
2014 1378
13.8%

학술지명
Text

Distinct5996
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T19:08:19.714682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length225
Median length113
Mean length26.2479
Min length1

Characters and Unicode

Total characters262479
Distinct characters553
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4491 ?
Unique (%)44.9%

Sample

1st row대한기계학회 춘추학술대회
2nd row2009년 춘계 학술발표
3rd rowAdvanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
4th row한국산학기술학회
5th row한국전산구조공학회논문집 = Journal of the computational structural engineering institute of Korea
ValueCountFrequency (%)
of 2160
 
6.0%
journal 1565
 
4.3%
and 1425
 
3.9%
international 824
 
2.3%
논문집 776
 
2.1%
the 734
 
2.0%
631
 
1.7%
on 585
 
1.6%
추계학술대회 522
 
1.4%
conference 503
 
1.4%
Other values (4435) 26474
73.1%
2024-03-14T19:08:21.101919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26226
 
10.0%
n 14574
 
5.6%
e 14081
 
5.4%
o 12686
 
4.8%
a 10665
 
4.1%
i 10111
 
3.9%
r 8754
 
3.3%
t 8207
 
3.1%
c 7137
 
2.7%
학 6769
 
2.6%
Other values (543) 143269
54.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 122592
46.7%
Other Letter 57653
22.0%
Uppercase Letter 42795
 
16.3%
Space Separator 26226
 
10.0%
Decimal Number 10595
 
4.0%
Other Punctuation 1270
 
0.5%
Dash Punctuation 353
 
0.1%
Open Punctuation 351
 
0.1%
Close Punctuation 337
 
0.1%
Math Symbol 292
 
0.1%
Other values (6) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 6769
 
11.7%
회 6703
 
11.6%
한 3818
 
6.6%
국 3060
 
5.3%
대 2853
 
4.9%
술 2493
 
4.3%
계 2135
 
3.7%
공 1616
 
2.8%
문 1399
 
2.4%
지 1323
 
2.3%
Other values (453) 25484
44.2%
Lowercase Letter
ValueCountFrequency (%)
n 14574
11.9%
e 14081
11.5%
o 12686
10.3%
a 10665
8.7%
i 10111
8.2%
r 8754
 
7.1%
t 8207
 
6.7%
c 7137
 
5.8%
l 6478
 
5.3%
s 5813
 
4.7%
Other values (16) 24086
19.6%
Uppercase Letter
ValueCountFrequency (%)
E 4377
 
10.2%
I 4122
 
9.6%
C 3778
 
8.8%
A 3683
 
8.6%
S 3532
 
8.3%
N 2862
 
6.7%
O 2473
 
5.8%
T 2446
 
5.7%
R 2246
 
5.2%
M 2154
 
5.0%
Other values (16) 11122
26.0%
Other Punctuation
ValueCountFrequency (%)
. 354
27.9%
, 328
25.8%
& 293
23.1%
: 129
 
10.2%
/ 74
 
5.8%
· 34
 
2.7%
' 29
 
2.3%
; 21
 
1.7%
" 4
 
0.3%
# 2
 
0.2%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 3117
29.4%
0 2925
27.6%
1 2244
21.2%
3 528
 
5.0%
4 514
 
4.9%
9 367
 
3.5%
8 256
 
2.4%
7 239
 
2.3%
6 217
 
2.0%
5 188
 
1.8%
Math Symbol
ValueCountFrequency (%)
= 279
95.5%
+ 8
 
2.7%
> 2
 
0.7%
< 2
 
0.7%
∑ 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅸ 1
50.0%
Space Separator
ValueCountFrequency (%)
26226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 165389
63.0%
Hangul 57196
 
21.8%
Common 39437
 
15.0%
Han 457
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 6769
 
11.8%
회 6703
 
11.7%
한 3818
 
6.7%
국 3060
 
5.4%
대 2853
 
5.0%
술 2493
 
4.4%
계 2135
 
3.7%
공 1616
 
2.8%
문 1399
 
2.4%
지 1323
 
2.3%
Other values (375) 25027
43.8%
Han
ValueCountFrequency (%)
會 51
 
11.2%
學 51
 
11.2%
韓 48
 
10.5%
誌 42
 
9.2%
大 24
 
5.3%
國 24
 
5.3%
文 13
 
2.8%
接 12
 
2.6%
工 11
 
2.4%
集 10
 
2.2%
Other values (68) 171
37.4%
Latin
ValueCountFrequency (%)
n 14574
 
8.8%
e 14081
 
8.5%
o 12686
 
7.7%
a 10665
 
6.4%
i 10111
 
6.1%
r 8754
 
5.3%
t 8207
 
5.0%
c 7137
 
4.3%
l 6478
 
3.9%
s 5813
 
3.5%
Other values (44) 66883
40.4%
Common
ValueCountFrequency (%)
26226
66.5%
2 3117
 
7.9%
0 2925
 
7.4%
1 2244
 
5.7%
3 528
 
1.3%
4 514
 
1.3%
9 367
 
0.9%
. 354
 
0.9%
- 353
 
0.9%
( 351
 
0.9%
Other values (26) 2458
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204785
78.0%
Hangul 57183
 
21.8%
CJK 449
 
0.2%
None 36
 
< 0.1%
Compat Jamo 13
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%
Punctuation 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26226
 
12.8%
n 14574
 
7.1%
e 14081
 
6.9%
o 12686
 
6.2%
a 10665
 
5.2%
i 10111
 
4.9%
r 8754
 
4.3%
t 8207
 
4.0%
c 7137
 
3.5%
l 6478
 
3.2%
Other values (73) 85866
41.9%
Hangul
ValueCountFrequency (%)
학 6769
 
11.8%
회 6703
 
11.7%
한 3818
 
6.7%
국 3060
 
5.4%
대 2853
 
5.0%
술 2493
 
4.4%
계 2135
 
3.7%
공 1616
 
2.8%
문 1399
 
2.4%
지 1323
 
2.3%
Other values (371) 25014
43.7%
CJK
ValueCountFrequency (%)
會 51
 
11.4%
學 51
 
11.4%
韓 48
 
10.7%
誌 42
 
9.4%
大 24
 
5.3%
國 24
 
5.3%
文 13
 
2.9%
接 12
 
2.7%
工 11
 
2.4%
集 10
 
2.2%
Other values (67) 163
36.3%
None
ValueCountFrequency (%)
· 34
94.4%
＇ 1
 
2.8%
® 1
 
2.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
76.9%
ㄹ 1
 
7.7%
ㅊ 1
 
7.7%
ㄱ 1
 
7.7%
CJK Compat Ideographs
ValueCountFrequency (%)
論 8
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Math Operators
ValueCountFrequency (%)
∑ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅸ 1
50.0%

논문명
Text

Distinct9905
Distinct (%)99.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-14T19:08:22.572658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length802
Median length182
Mean length68.421842
Min length4

Characters and Unicode

Total characters684150
Distinct characters1054
Distinct categories19 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9814 ?
Unique (%)98.1%

Sample

1st row제자리 선회 및 측면주행을 위한 4WD, 4WS 구조의 동축반전기구 메커니즘 개발
2nd rowIsing 모델과 프렉탈 구조를 이용한 준안정상 해석
3rd rowSecured mVoIP Service over Cloud and Container-Based Improvement
4th row멀티 레벨 FlyBack Converter의 부하 전류 균등 제어 기법
5th row유한요소해석 기반 척추 고정분절 변화에 따른 척추 안정성 평가,Spinal Stability Evaluation According to the Change in the Spinal Fixation Segment Based on Finite Element Analysis
ValueCountFrequency (%)
of 5034
 
4.8%
and 2236
 
2.1%
for 1674
 
1.6%
the 1408
 
1.3%
on 1364
 
1.3%
in 1331
 
1.3%
a 1233
 
1.2%
연구 1126
 
1.1%
및 846
 
0.8%
using 749
 
0.7%
Other values (27327) 88473
83.9%
2024-03-14T19:08:24.645644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95616
 
14.0%
e 45329
 
6.6%
i 39867
 
5.8%
o 36709
 
5.4%
a 34471
 
5.0%
t 34360
 
5.0%
n 34297
 
5.0%
r 28869
 
4.2%
s 23063
 
3.4%
l 20553
 
3.0%
Other values (1044) 291016
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 420597
61.5%
Other Letter 101351
 
14.8%
Space Separator 95618
 
14.0%
Uppercase Letter 52580
 
7.7%
Dash Punctuation 5306
 
0.8%
Decimal Number 4224
 
0.6%
Other Punctuation 2717
 
0.4%
Open Punctuation 759
 
0.1%
Close Punctuation 729
 
0.1%
Math Symbol 179
 
< 0.1%
Other values (9) 90
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3246
 
3.2%
한 3110
 
3.1%
에 2161
 
2.1%
이 2125
 
2.1%
성 2053
 
2.0%
용 2032
 
2.0%
기 2013
 
2.0%
구 1929
 
1.9%
연 1560
 
1.5%
스 1336
 
1.3%
Other values (912) 79786
78.7%
Lowercase Letter
ValueCountFrequency (%)
e 45329
10.8%
i 39867
 
9.5%
o 36709
 
8.7%
a 34471
 
8.2%
t 34360
 
8.2%
n 34297
 
8.2%
r 28869
 
6.9%
s 23063
 
5.5%
l 20553
 
4.9%
c 18677
 
4.4%
Other values (26) 104402
24.8%
Uppercase Letter
ValueCountFrequency (%)
S 5077
 
9.7%
C 4621
 
8.8%
A 4300
 
8.2%
P 3782
 
7.2%
E 3488
 
6.6%
M 3243
 
6.2%
T 3168
 
6.0%
D 3062
 
5.8%
I 2747
 
5.2%
R 2286
 
4.3%
Other values (20) 16806
32.0%
Other Punctuation
ValueCountFrequency (%)
, 868
31.9%
/ 612
22.5%
: 458
16.9%
. 407
15.0%
& 70
 
2.6%
' 53
 
2.0%
" 52
 
1.9%
? 47
 
1.7%
; 41
 
1.5%
# 35
 
1.3%
Other values (10) 74
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 930
22.0%
3 667
15.8%
1 634
15.0%
0 578
13.7%
4 382
9.0%
5 345
 
8.2%
6 267
 
6.3%
7 176
 
4.2%
8 160
 
3.8%
9 85
 
2.0%
Math Symbol
ValueCountFrequency (%)
> 59
33.0%
< 58
32.4%
+ 41
22.9%
~ 11
 
6.1%
= 5
 
2.8%
× 2
 
1.1%
± 2
 
1.1%
≥ 1
 
0.6%
Other Symbol
ValueCountFrequency (%)
° 3
50.0%
△ 1
 
16.7%
㎛ 1
 
16.7%
℃ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 735
96.8%
[ 22
 
2.9%
{ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 706
96.8%
] 21
 
2.9%
} 2
 
0.3%
Control
ValueCountFrequency (%)
6
60.0%
 3
30.0%
1
 
10.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
50.0%
Ⅰ 5
41.7%
Ⅳ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
95616
> 99.9%
　 2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 27
93.1%
” 2
 
6.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
71.4%
“ 2
 
28.6%
Other Number
ValueCountFrequency (%)
₂ 5
55.6%
₃ 4
44.4%
Dash Punctuation
ValueCountFrequency (%)
- 5306
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 473112
69.2%
Common 109610
 
16.0%
Hangul 101284
 
14.8%
Greek 78
 
< 0.1%
Han 66
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3246
 
3.2%
한 3110
 
3.1%
에 2161
 
2.1%
이 2125
 
2.1%
성 2053
 
2.0%
용 2032
 
2.0%
기 2013
 
2.0%
구 1929
 
1.9%
연 1560
 
1.5%
스 1336
 
1.3%
Other values (857) 79719
78.7%
Common
ValueCountFrequency (%)
95616
87.2%
- 5306
 
4.8%
2 930
 
0.8%
, 868
 
0.8%
( 735
 
0.7%
) 706
 
0.6%
3 667
 
0.6%
1 634
 
0.6%
/ 612
 
0.6%
0 578
 
0.5%
Other values (53) 2958
 
2.7%
Latin
ValueCountFrequency (%)
e 45329
 
9.6%
i 39867
 
8.4%
o 36709
 
7.8%
a 34471
 
7.3%
t 34360
 
7.3%
n 34297
 
7.2%
r 28869
 
6.1%
s 23063
 
4.9%
l 20553
 
4.3%
c 18677
 
3.9%
Other values (47) 156917
33.2%
Han
ValueCountFrequency (%)
藥 3
 
4.5%
鍼 3
 
4.5%
液 3
 
4.5%
減 2
 
3.0%
加 2
 
3.0%
地 2
 
3.0%
丸 2
 
3.0%
皮 2
 
3.0%
黃 2
 
3.0%
排 1
 
1.5%
Other values (44) 44
66.7%
Greek
ValueCountFrequency (%)
β 29
37.2%
α 22
28.2%
κ 8
 
10.3%
γ 7
 
9.0%
δ 3
 
3.8%
μ 2
 
2.6%
υ 1
 
1.3%
ω 1
 
1.3%
π 1
 
1.3%
ν 1
 
1.3%
Other values (3) 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582623
85.2%
Hangul 101274
 
14.8%
None 116
 
< 0.1%
CJK 66
 
< 0.1%
Punctuation 45
 
< 0.1%
Number Forms 12
 
< 0.1%
Compat Jamo 10
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95616
16.4%
e 45329
 
7.8%
i 39867
 
6.8%
o 36709
 
6.3%
a 34471
 
5.9%
t 34360
 
5.9%
n 34297
 
5.9%
r 28869
 
5.0%
s 23063
 
4.0%
l 20553
 
3.5%
Other values (86) 189489
32.5%
Hangul
ValueCountFrequency (%)
의 3246
 
3.2%
한 3110
 
3.1%
에 2161
 
2.1%
이 2125
 
2.1%
성 2053
 
2.0%
용 2032
 
2.0%
기 2013
 
2.0%
구 1929
 
1.9%
연 1560
 
1.5%
스 1336
 
1.3%
Other values (851) 79709
78.7%
None
ValueCountFrequency (%)
β 29
25.0%
α 22
19.0%
· 16
13.8%
κ 8
 
6.9%
γ 7
 
6.0%
₂ 5
 
4.3%
₃ 4
 
3.4%
° 3
 
2.6%
δ 3
 
2.6%
μ 2
 
1.7%
Other values (13) 17
14.7%
Punctuation
ValueCountFrequency (%)
’ 27
60.0%
′ 6
 
13.3%
‘ 5
 
11.1%
“ 2
 
4.4%
″ 2
 
4.4%
” 2
 
4.4%
† 1
 
2.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
50.0%
Ⅰ 5
41.7%
Ⅳ 1
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
50.0%
ㅌ 1
 
10.0%
ㅏ 1
 
10.0%
ㅁ 1
 
10.0%
ㅜ 1
 
10.0%
ㄹ 1
 
10.0%
CJK
ValueCountFrequency (%)
藥 3
 
4.5%
鍼 3
 
4.5%
液 3
 
4.5%
減 2
 
3.0%
加 2
 
3.0%
地 2
 
3.0%
丸 2
 
3.0%
皮 2
 
3.0%
黃 2
 
3.0%
排 1
 
1.5%
Other values (44) 44
66.7%
Geometric Shapes
ValueCountFrequency (%)
△ 1
100.0%
Math Operators
ValueCountFrequency (%)
≥ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎛ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

주저자명
Text

Distinct7400
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T19:08:26.308985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length3
Mean length6.5617
Min length1

Characters and Unicode

Total characters65617
Distinct characters420
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5999 ?
Unique (%)60.0%

Sample

1st row김민성
2nd row최병학
3rd rowByungrae Cha;
4th row김성중, 서범근
5th row김철정
ValueCountFrequency (%)
kim 514
 
3.7%
lee 360
 
2.6%
park 213
 
1.5%
choi 109
 
0.8%
jeong 79
 
0.6%
jung 74
 
0.5%
cho 71
 
0.5%
kang 71
 
0.5%
shin 67
 
0.5%
j 59
 
0.4%
Other values (7242) 12309
88.4%
2024-03-14T19:08:28.093712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 4598
 
7.0%
3938
 
6.0%
o 3713
 
5.7%
e 3091
 
4.7%
a 3024
 
4.6%
i 2303
 
3.5%
u 2249
 
3.4%
g 2200
 
3.4%
h 1610
 
2.5%
J 1348
 
2.1%
Other values (410) 37543
57.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28891
44.0%
Other Letter 18413
28.1%
Uppercase Letter 10889
 
16.6%
Space Separator 3938
 
6.0%
Other Punctuation 2268
 
3.5%
Dash Punctuation 1113
 
1.7%
Open Punctuation 36
 
0.1%
Close Punctuation 36
 
0.1%
Decimal Number 30
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1208
 
6.6%
이 930
 
5.1%
정 679
 
3.7%
현 462
 
2.5%
성 461
 
2.5%
박 460
 
2.5%
영 446
 
2.4%
진 420
 
2.3%
민 355
 
1.9%
수 337
 
1.8%
Other values (333) 12655
68.7%
Uppercase Letter
ValueCountFrequency (%)
J 1348
12.4%
K 1317
12.1%
S 1253
11.5%
H 1146
10.5%
Y 741
 
6.8%
L 641
 
5.9%
C 567
 
5.2%
M 542
 
5.0%
P 392
 
3.6%
W 327
 
3.0%
Other values (17) 2615
24.0%
Lowercase Letter
ValueCountFrequency (%)
n 4598
15.9%
o 3713
12.9%
e 3091
10.7%
a 3024
10.5%
i 2303
8.0%
u 2249
7.8%
g 2200
7.6%
h 1610
 
5.6%
m 1219
 
4.2%
y 919
 
3.2%
Other values (16) 3965
13.7%
Other Punctuation
ValueCountFrequency (%)
, 1161
51.2%
. 757
33.4%
; 328
 
14.5%
? 11
 
0.5%
/ 4
 
0.2%
* 2
 
0.1%
' 1
 
< 0.1%
@ 1
 
< 0.1%
# 1
 
< 0.1%
: 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 20
66.7%
8 2
 
6.7%
0 2
 
6.7%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
Space Separator
ValueCountFrequency (%)
3938
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 39779
60.6%
Hangul 18413
28.1%
Common 7424
 
11.3%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1208
 
6.6%
이 930
 
5.1%
정 679
 
3.7%
현 462
 
2.5%
성 461
 
2.5%
박 460
 
2.5%
영 446
 
2.4%
진 420
 
2.3%
민 355
 
1.9%
수 337
 
1.8%
Other values (333) 12655
68.7%
Latin
ValueCountFrequency (%)
n 4598
 
11.6%
o 3713
 
9.3%
e 3091
 
7.8%
a 3024
 
7.6%
i 2303
 
5.8%
u 2249
 
5.7%
g 2200
 
5.5%
h 1610
 
4.0%
J 1348
 
3.4%
K 1317
 
3.3%
Other values (42) 14326
36.0%
Common
ValueCountFrequency (%)
3938
53.0%
, 1161
 
15.6%
- 1113
 
15.0%
. 757
 
10.2%
; 328
 
4.4%
( 36
 
0.5%
) 36
 
0.5%
1 20
 
0.3%
? 11
 
0.1%
/ 4
 
0.1%
Other values (14) 20
 
0.3%
Greek
ValueCountFrequency (%)
Π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47202
71.9%
Hangul 18410
 
28.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4598
 
9.7%
3938
 
8.3%
o 3713
 
7.9%
e 3091
 
6.5%
a 3024
 
6.4%
i 2303
 
4.9%
u 2249
 
4.8%
g 2200
 
4.7%
h 1610
 
3.4%
J 1348
 
2.9%
Other values (65) 19128
40.5%
Hangul
ValueCountFrequency (%)
김 1208
 
6.6%
이 930
 
5.1%
정 679
 
3.7%
현 462
 
2.5%
성 461
 
2.5%
박 460
 
2.5%
영 446
 
2.4%
진 420
 
2.3%
민 355
 
1.9%
수 337
 
1.8%
Other values (332) 12652
68.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
None
ValueCountFrequency (%)
Π 1
50.0%
· 1
50.0%

국제과학논문 색인 구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
R19002
7123 
R19001
2877 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowR19002
2nd rowR19002
3rd rowR19002
4th rowR19002
5th rowR19002

Common Values

ValueCountFrequency (%)
R19002 7123
71.2%
R19001 2877
28.8%

Length

2024-03-14T19:08:28.324974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:08:28.486082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
r19002 7123
71.2%
r19001 2877
28.8%

Interactions

2024-03-14T19:08:17.274345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:08:28.593111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분성과발생년도국제과학논문 색인 구분코드
구분1.0000.9070.099
성과발생년도0.9071.0000.132
국제과학논문 색인 구분코드0.0990.1321.000
2024-03-14T19:08:28.740734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분국제과학논문 색인 구분코드
구분1.0000.063
국제과학논문 색인 구분코드0.0631.000
2024-03-14T19:08:28.883665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성과발생년도구분국제과학논문 색인 구분코드
성과발생년도1.0000.9460.132
구분0.9461.0000.063
국제과학논문 색인 구분코드0.1320.0631.000

Missing values

2024-03-14T19:08:17.646564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:08:17.865361image/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

구분성과발생년도학술지명논문명주저자명국제과학논문 색인 구분코드
24101성과입력2018대한기계학회 춘추학술대회제자리 선회 및 측면주행을 위한 4WD, 4WS 구조의 동축반전기구 메커니즘 개발김민성R19002
145최종확정20092009년 춘계 학술발표Ising 모델과 프렉탈 구조를 이용한 준안정상 해석최병학R19002
17350최종확정2015Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference onSecured mVoIP Service over Cloud and Container-Based ImprovementByungrae Cha;R19002
22188최종확정2017한국산학기술학회멀티 레벨 FlyBack Converter의 부하 전류 균등 제어 기법김성중, 서범근R19002
28574성과입력2020한국전산구조공학회논문집 = Journal of the computational structural engineering institute of Korea유한요소해석 기반 척추 고정분절 변화에 따른 척추 안정성 평가,Spinal Stability Evaluation According to the Change in the Spinal Fixation Segment Based on Finite Element Analysis김철정R19002
26116성과입력2019대한기계학회 2019년 학술대회PID기반과 외란제거 기반의 Anti-Windup 제어 알고리즘 비교 연구노명규R19002
17481최종확정2015Composites. Part B, EngineeringEffects of functional group of carbon nanotubes on mechanical properties of carbon fibersPark, Ok-KyungR19001
6508최종확정2012열처리공학회터보샤프트 재료 Inconel718의 열처리조건에 대한 연구주윤곤R19002
21394성과입력2017Proceedings of SPIEEvaluation of effective detective quantum efficiency considering breast thickness and glandularity in prototype digital breast tomosynthesis systemSeungyeon ChoiR19002
22144성과입력2017한국마린엔지니어링학회능동형 가변 브리지의 구조강도 안정성 평가차종국R19002
구분성과발생년도학술지명논문명주저자명국제과학논문 색인 구분코드
9322최종확정2013Journal of South University of TechnologyMulti-stage optimum design of magazine type automatic tool changer arm김재현R19001
17546최종확정2015Food ChemistryMeat composition, fatty acid profile and oxidative stability of meat from broilers supplemented withSonia Tabasum AhmedR19001
27413성과입력2020Institute of Electrical and Electronics Engineers AccessCluster-Analysis-Based User-Adaptive Fall Detection Using Fusion of Heart Rate Sensor and Accelerometer in a Wearable Device노영훈R19001
22151성과입력2017한국멀티미디어학회학습 기반 아날로그 신호처리 및 데이터 관리 방안김희진R19002
19967최종확정2016한국산학기술학회에스컬레이터 보조브레이크 구조해석김승호R19001
16403최종확정2014한국섬유공학회, 한국염색가공학회 공축열발열 소재의 의류착용특성허경R19002
15385최종확정2014기술과법센터상표법상불사용취소심판에서의등록상표의사용판단에관한소고김남영R19002
6967최종확정2012한국식품영양과학회지 = Journal of the Korean society of food science and nutritionRhizopus oryzae CCS01로 제조된 쌀누룩을 이용한 곡류 막걸리의 품질 특성조현국;R19002
21149성과입력2017Journal of pharmaceutical sciences : a publication of the American Pharmaceutical AssociationHigh-Dose Metformin May Increase the Concentration of Atorvastatin in the Liver by Inhibition of Multidrug Resistance&#x2013;Associated Protein 2ShinR19001
5344최종확정2012Biol Pharm BuTreatment with SI000413, a new herbal formula, amePark JHR19001

Duplicate rows

Most frequently occurring

구분성과발생년도학술지명논문명주저자명국제과학논문 색인 구분코드# duplicates
0성과입력2023Applied Physics AFine ablation with depth control of 25-nm resolution and morphologies irradiated by femtosecond laser pulses via beam shaping최준하R190012
1성과입력2023Tissue Eng Regen MedBreast Tissue Reconstruction Using Polycaprolactone Ball Scaffolds in a Partial Mastectomy Pig ModelKyu-Sik Shim? Da Hye Ryu ? Han-Saem JoR190012