Overview

Dataset statistics

Number of variables5
Number of observations886
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 KiB
Average record size in memory40.1 B

Variable types

DateTime1
Text3
Categorical1

Dataset

Description한국원자력연구원_국내 가속기관련 최신동향 발표자료 목록 데이터 입니다. 데이터 칼럼 리스트는 발표일자, 발표주제명, 주저자, 구분, 학술대회/논문집명 입니다 (가속기 관련 국내외 학술행사 (한국물리학회, 원자력학회, 국제 가속기학회 등)에서 발표한 학술논문 목록으로, 가속기 이용기술 관련 최신 동향 정보를 수록하고 있음)
URLhttps://www.data.go.kr/data/15014381/fileData.do

Alerts

구분 is highly imbalanced (76.2%)Imbalance

Reproduction

Analysis started2023-12-12 08:30:26.065877
Analysis finished2023-12-12 08:30:26.631841
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발표일자
Date

Distinct280
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2014-04-24 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T17:30:26.969675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:30:27.107436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발표주제명
Text

Distinct884
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-12T17:30:27.534280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length100
Mean length60.98307
Min length12

Characters and Unicode

Total characters54031
Distinct characters441
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique882 ?
Unique (%)99.5%

Sample

1st rowCross-section measurements for 68Zn(p,2p)67Cu and68Zn(p,2n)67Ga reactions using a newly developedseparation method for the superposed g-ray spectra
2nd rowDevelopment of the Integrated Application for the RF Phase Scan and the TOF Analysis
3rd rowDesign Optimization of Atomic Mass Separating System of High Current Implanter
4th rowTHE 1st 82Sr PRODUCTION AND 82Sr/82Rb GENERATOR COLUMN CHARACTERIZATION IN KOREA
5th row고주파 사중극 가속기 제작을 위한 고진공 플러그 브레이징 기술 연구
ValueCountFrequency (%)
of 489
 
5.4%
komac 322
 
3.6%
the 308
 
3.4%
for 279
 
3.1%
beam 178
 
2.0%
at 167
 
1.8%
and 150
 
1.7%
proton 118
 
1.3%
system 109
 
1.2%
ion 109
 
1.2%
Other values (2093) 6825
75.4%
2023-12-12T17:30:28.215789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8176
 
15.1%
e 3455
 
6.4%
o 3158
 
5.8%
t 3019
 
5.6%
a 2827
 
5.2%
n 2634
 
4.9%
r 2432
 
4.5%
i 2375
 
4.4%
s 1451
 
2.7%
l 1258
 
2.3%
Other values (431) 23246
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30916
57.2%
Space Separator 8176
 
15.1%
Uppercase Letter 6954
 
12.9%
Other Letter 6732
 
12.5%
Decimal Number 725
 
1.3%
Dash Punctuation 286
 
0.5%
Other Punctuation 151
 
0.3%
Close Punctuation 30
 
0.1%
Open Punctuation 30
 
0.1%
Math Symbol 19
 
< 0.1%
Other values (5) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 243
 
3.6%
성 211
 
3.1%
이 207
 
3.1%
한 173
 
2.6%
의 172
 
2.6%
자 171
 
2.5%
빔 154
 
2.3%
구 132
 
2.0%
용 124
 
1.8%
속 123
 
1.8%
Other values (351) 5022
74.6%
Lowercase Letter
ValueCountFrequency (%)
e 3455
11.2%
o 3158
10.2%
t 3019
9.8%
a 2827
 
9.1%
n 2634
 
8.5%
r 2432
 
7.9%
i 2375
 
7.7%
s 1451
 
4.7%
l 1258
 
4.1%
c 1198
 
3.9%
Other values (17) 7109
23.0%
Uppercase Letter
ValueCountFrequency (%)
M 767
 
11.0%
C 672
 
9.7%
A 666
 
9.6%
O 495
 
7.1%
S 481
 
6.9%
I 427
 
6.1%
P 360
 
5.2%
K 355
 
5.1%
R 329
 
4.7%
T 316
 
4.5%
Other values (16) 2086
30.0%
Decimal Number
ValueCountFrequency (%)
0 219
30.2%
1 163
22.5%
2 102
14.1%
8 68
 
9.4%
7 51
 
7.0%
6 51
 
7.0%
3 33
 
4.6%
5 19
 
2.6%
4 18
 
2.5%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 62
41.1%
. 40
26.5%
, 35
23.2%
: 9
 
6.0%
& 4
 
2.6%
？ 1
 
0.7%
Other Number
ValueCountFrequency (%)
₃ 1
50.0%
₂ 1
50.0%
Space Separator
ValueCountFrequency (%)
8176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
+ 19
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37869
70.1%
Common 9429
 
17.5%
Hangul 6732
 
12.5%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 243
 
3.6%
성 211
 
3.1%
이 207
 
3.1%
한 173
 
2.6%
의 172
 
2.6%
자 171
 
2.5%
빔 154
 
2.3%
구 132
 
2.0%
용 124
 
1.8%
속 123
 
1.8%
Other values (351) 5022
74.6%
Latin
ValueCountFrequency (%)
e 3455
 
9.1%
o 3158
 
8.3%
t 3019
 
8.0%
a 2827
 
7.5%
n 2634
 
7.0%
r 2432
 
6.4%
i 2375
 
6.3%
s 1451
 
3.8%
l 1258
 
3.3%
c 1198
 
3.2%
Other values (42) 14062
37.1%
Common
ValueCountFrequency (%)
8176
86.7%
- 286
 
3.0%
0 219
 
2.3%
1 163
 
1.7%
2 102
 
1.1%
8 68
 
0.7%
/ 62
 
0.7%
7 51
 
0.5%
6 51
 
0.5%
. 40
 
0.4%
Other values (17) 211
 
2.2%
Greek
ValueCountFrequency (%)
γ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47294
87.5%
Hangul 6730
 
12.5%
None 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8176
17.3%
e 3455
 
7.3%
o 3158
 
6.7%
t 3019
 
6.4%
a 2827
 
6.0%
n 2634
 
5.6%
r 2432
 
5.1%
i 2375
 
5.0%
s 1451
 
3.1%
l 1258
 
2.7%
Other values (65) 16509
34.9%
Hangul
ValueCountFrequency (%)
기 243
 
3.6%
성 211
 
3.1%
이 207
 
3.1%
한 173
 
2.6%
의 172
 
2.6%
자 171
 
2.5%
빔 154
 
2.3%
구 132
 
2.0%
용 124
 
1.8%
속 123
 
1.8%
Other values (350) 5020
74.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
None
ValueCountFrequency (%)
γ 1
25.0%
₃ 1
25.0%
₂ 1
25.0%
？ 1
25.0%

주저자
Text

Distinct61
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-12T17:30:28.501520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2658
Distinct characters85
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.5%

Sample

1st row정명환
2nd row조성윤
3rd row김동환
4th row김계령
5th row김경현
ValueCountFrequency (%)
김계령 69
 
7.8%
김한성 54
 
6.1%
박준규 39
 
4.4%
김대일 33
 
3.7%
이승현 32
 
3.6%
권혁중 30
 
3.4%
송영기 29
 
3.3%
김동석 27
 
3.0%
정명환 26
 
2.9%
박성균 26
 
2.9%
Other values (51) 521
58.8%
2023-12-12T17:30:28.958981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 288
 
10.8%
성 127
 
4.8%
정 112
 
4.2%
이 102
 
3.8%
박 102
 
3.8%
준 71
 
2.7%
영 70
 
2.6%
계 69
 
2.6%
령 69
 
2.6%
석 62
 
2.3%
Other values (75) 1586
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2658
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 288
 
10.8%
성 127
 
4.8%
정 112
 
4.2%
이 102
 
3.8%
박 102
 
3.8%
준 71
 
2.7%
영 70
 
2.6%
계 69
 
2.6%
령 69
 
2.6%
석 62
 
2.3%
Other values (75) 1586
59.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2658
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 288
 
10.8%
성 127
 
4.8%
정 112
 
4.2%
이 102
 
3.8%
박 102
 
3.8%
준 71
 
2.7%
영 70
 
2.6%
계 69
 
2.6%
령 69
 
2.6%
석 62
 
2.3%
Other values (75) 1586
59.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2658
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 288
 
10.8%
성 127
 
4.8%
정 112
 
4.2%
이 102
 
3.8%
박 102
 
3.8%
준 71
 
2.7%
영 70
 
2.6%
계 69
 
2.6%
령 69
 
2.6%
석 62
 
2.3%
Other values (75) 1586
59.7%

구분
Categorical

IMBALANCE 

Distinct26
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
국내
766 
국외
 
27
미국
 
12
영국
 
10
덴마크
 
8
Other values (21)
 
63

Length

Max length6
Median length2
Mean length2.0598194
Min length2

Unique

Unique6 ?
Unique (%)0.7%

Sample

1st row영국
2nd row국내
3rd row국외
4th row캐나다
5th row국내

Common Values

ValueCountFrequency (%)
국내 766
86.5%
국외 27
 
3.0%
미국 12
 
1.4%
영국 10
 
1.1%
덴마크 8
 
0.9%
국제 8
 
0.9%
중국 6
 
0.7%
일본 5
 
0.6%
프랑스 5
 
0.6%
캐나다 5
 
0.6%
Other values (16) 34
 
3.8%

Length

2023-12-12T17:30:29.166861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국내 766
86.5%
국외 27
 
3.0%
미국 12
 
1.4%
영국 10
 
1.1%
덴마크 8
 
0.9%
국제 8
 
0.9%
중국 6
 
0.7%
일본 5
 
0.6%
프랑스 5
 
0.6%
캐나다 5
 
0.6%
Other values (16) 34
 
3.8%

학술대회-논문집명
Text

Distinct378
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-12T17:30:29.524778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length107
Mean length38.031603
Min length5

Characters and Unicode

Total characters33696
Distinct characters201
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

Unique247 ?
Unique (%)27.9%

Sample

1st rowScientific Reports
2nd rowJournal of the Korean Physical Society
3rd rowthe second International Fusion and Plasma Conference (iFPC 2023)
4th rowThe 11th International Conference on Isotopes (11ICI)
5th row2023 KAPRA & KPS/DPP conference
ValueCountFrequency (%)
conference 311
 
6.6%
international 241
 
5.1%
한국원자력학회 212
 
4.5%
the 204
 
4.3%
on 203
 
4.3%
and 199
 
4.2%
beam 142
 
3.0%
accelerators 140
 
3.0%
한국물리학회 111
 
2.3%
utilizations 74
 
1.6%
Other values (439) 2891
61.1%
2023-12-12T17:30:30.051665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3843
 
11.4%
e 2368
 
7.0%
n 2213
 
6.6%
a 1548
 
4.6%
t 1509
 
4.5%
o 1507
 
4.5%
r 1315
 
3.9%
2 1090
 
3.2%
i 1089
 
3.2%
c 1000
 
3.0%
Other values (191) 16214
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15992
47.5%
Other Letter 7094
21.1%
Space Separator 3843
 
11.4%
Uppercase Letter 3356
 
10.0%
Decimal Number 3046
 
9.0%
Other Punctuation 127
 
0.4%
Open Punctuation 103
 
0.3%
Close Punctuation 103
 
0.3%
Dash Punctuation 32
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 954
 
13.4%
학 888
 
12.5%
술 450
 
6.3%
한 445
 
6.3%
국 421
 
5.9%
표 335
 
4.7%
발 333
 
4.7%
계 317
 
4.5%
대 228
 
3.2%
자 224
 
3.2%
Other values (116) 2499
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 2368
14.8%
n 2213
13.8%
a 1548
9.7%
t 1509
9.4%
o 1507
9.4%
r 1315
8.2%
i 1089
6.8%
c 1000
6.3%
l 814
 
5.1%
s 531
 
3.3%
Other values (16) 2098
13.1%
Uppercase Letter
ValueCountFrequency (%)
A 530
15.8%
C 439
13.1%
P 409
12.2%
I 362
10.8%
S 231
6.9%
T 214
6.4%
U 207
 
6.2%
B 200
 
6.0%
K 191
 
5.7%
R 139
 
4.1%
Other values (15) 434
12.9%
Decimal Number
ValueCountFrequency (%)
2 1090
35.8%
0 732
24.0%
1 588
19.3%
9 131
 
4.3%
8 115
 
3.8%
7 101
 
3.3%
4 77
 
2.5%
3 77
 
2.5%
5 74
 
2.4%
6 61
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 51
40.2%
& 50
39.4%
, 19
 
15.0%
" 2
 
1.6%
: 2
 
1.6%
？ 1
 
0.8%
' 1
 
0.8%
. 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 102
99.0%
[ 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 102
99.0%
] 1
 
1.0%
Space Separator
ValueCountFrequency (%)
3843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19348
57.4%
Common 7254
 
21.5%
Hangul 7094
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 954
 
13.4%
학 888
 
12.5%
술 450
 
6.3%
한 445
 
6.3%
국 421
 
5.9%
표 335
 
4.7%
발 333
 
4.7%
계 317
 
4.5%
대 228
 
3.2%
자 224
 
3.2%
Other values (116) 2499
35.2%
Latin
ValueCountFrequency (%)
e 2368
12.2%
n 2213
11.4%
a 1548
 
8.0%
t 1509
 
7.8%
o 1507
 
7.8%
r 1315
 
6.8%
i 1089
 
5.6%
c 1000
 
5.2%
l 814
 
4.2%
s 531
 
2.7%
Other values (41) 5454
28.2%
Common
ValueCountFrequency (%)
3843
53.0%
2 1090
 
15.0%
0 732
 
10.1%
1 588
 
8.1%
9 131
 
1.8%
8 115
 
1.6%
( 102
 
1.4%
) 102
 
1.4%
7 101
 
1.4%
4 77
 
1.1%
Other values (14) 373
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26601
78.9%
Hangul 7094
 
21.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3843
14.4%
e 2368
 
8.9%
n 2213
 
8.3%
a 1548
 
5.8%
t 1509
 
5.7%
o 1507
 
5.7%
r 1315
 
4.9%
2 1090
 
4.1%
i 1089
 
4.1%
c 1000
 
3.8%
Other values (64) 9119
34.3%
Hangul
ValueCountFrequency (%)
회 954
 
13.4%
학 888
 
12.5%
술 450
 
6.3%
한 445
 
6.3%
국 421
 
5.9%
표 335
 
4.7%
발 333
 
4.7%
계 317
 
4.5%
대 228
 
3.2%
자 224
 
3.2%
Other values (116) 2499
35.2%
None
ValueCountFrequency (%)
？ 1
100.0%

Correlations

2023-12-12T17:30:30.157183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주저자구분
주저자1.0000.312
구분0.3121.000

Missing values

2023-12-12T17:30:26.501157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:30:26.594590image/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

발표일자발표주제명주저자구분학술대회-논문집명
02023-08-31Cross-section measurements for 68Zn(p,2p)67Cu and68Zn(p,2n)67Ga reactions using a newly developedseparation method for the superposed g-ray spectra정명환영국Scientific Reports
12023-08-25Development of the Integrated Application for the RF Phase Scan and the TOF Analysis조성윤국내Journal of the Korean Physical Society
22023-08-23Design Optimization of Atomic Mass Separating System of High Current Implanter김동환국외the second International Fusion and Plasma Conference (iFPC 2023)
32023-07-25THE 1st 82Sr PRODUCTION AND 82Sr/82Rb GENERATOR COLUMN CHARACTERIZATION IN KOREA김계령캐나다The 11th International Conference on Isotopes (11ICI)
42023-06-30고주파 사중극 가속기 제작을 위한 고진공 플러그 브레이징 기술 연구김경현국내2023 KAPRA & KPS/DPP conference
52023-06-308극 전자석에 대한 빔 오프셋이 빔 균일도에 미치는 영향이승현국내2023 KAPRA & KPS/DPP conference
62023-06-30양성자가속기의 안전지표 개발 소개민의섭국내2023 KAPRA&KPS/DPP Conference
72023-06-30방사선ㆍ능 연속감시시스템의 검ㆍ교정 절차 개선박정민국내2023 KAPRA&KPS/DPP Conference
82023-06-29반도체/우주산업에서의 양성자가속기의 역할이재상국내2023 KAPRA & KPS/DPP Conference
92023-06-29고전류 이온 주입기용 질량 분리 시스템 최적 설계김동환국내2023 KAPRA & KPS/DPP Joint Conference
발표일자발표주제명주저자구분학술대회-논문집명
8762014-05-28이온빔 장치 이용현황 및 향후 운영계획이찬영국내한국원자력학회 춘계학술발표대회
8772014-05-28양성자가속기 이용현황 및 향후 운영계획정명환국내한국원자력학회 춘계학술발표대회
8782014-04-24이온빔 조사를 위한 1MV 정전형 가속기 기초 설계조용섭국내2014 한국물리학회 봄 학술논문발표회
8792014-04-24KOMAC 100 MeV 양성자 가속기 교육을 위한 simulator 제작박성균국내2014 한국물리학회 봄 학술논문발표회
8802014-04-24Modification of KOMAC Microwave Ion Source엄규섭국내2014 한국물리학회 봄 학술논문발표회
8812014-04-24ISOL 빔수송라인용 Electrostatic Bender 및 Quadrupole 공학설계김한성국내2014 한국물리학회 봄 학술논문발표회
8822014-04-2410 ns 양성자 빔 펄스 생성용 챔버 내 잔류기체분석박광묵국내2014 한국물리학회 봄 학술논문발표회
8832014-04-24Field Stability Measurement of Quadrupole Magnet for KOMAC Beamline정보현국내2014 한국물리학회 봄 학술논문발표회
8842014-04-24반도체 조사용 헬륨빔 조사 시스템 설계 기초 연구권혁중국내2014 한국물리학회 봄 학술논문발표회
8852014-04-24Development of vacuum control system for KOMAC 100MeV proton linac송영기국내2014 한국물리학회 봄 학술논문발표회