Overview

Dataset statistics

Number of variables10
Number of observations146
Missing cells58
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory85.9 B

Variable types

Numeric2
Text3
Categorical3
DateTime2

Dataset

Description20210608 기준 Anent 웹포탈의 교육 정보 데이터 입니다. 데이터 칼럼 리스트는 고유번호, 과목명, 분야, 내용, 수준, 작성자회원코드, 달력번호, 말머리, 일정시작일, 일정종료일 입니다.
Author한국원자력연구원
URLhttps://www.data.go.kr/data/15083577/fileData.do

Alerts

말머리 is highly overall correlated with 고유번호 and 1 other fieldsHigh correlation
수준 is highly overall correlated with 고유번호 and 1 other fieldsHigh correlation
고유번호 is highly overall correlated with 수준 and 2 other fieldsHigh correlation
달력번호 is highly overall correlated with 고유번호High correlation
수준 is highly imbalanced (61.4%)Imbalance
달력번호 is highly imbalanced (92.5%)Imbalance
말머리 is highly imbalanced (75.6%)Imbalance
분야 has 58 (39.7%) missing valuesMissing
고유번호 has unique valuesUnique
내용 has unique valuesUnique
작성자회원코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:09:55.209847
Analysis finished2023-12-12 04:09:56.559132
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.9863
Minimum45
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T13:09:56.641716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile165.25
Q1272.25
median310.5
Q3348.75
95-th percentile379.75
Maximum387
Range342
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation62.301601
Coefficient of variation (CV)0.20562514
Kurtosis2.314753
Mean302.9863
Median Absolute Deviation (MAD)38.5
Skewness-1.2988437
Sum44236
Variance3881.4895
MonotonicityStrictly increasing
2023-12-12T13:09:56.788625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 1
 
0.7%
350 1
 
0.7%
334 1
 
0.7%
335 1
 
0.7%
336 1
 
0.7%
337 1
 
0.7%
338 1
 
0.7%
339 1
 
0.7%
340 1
 
0.7%
341 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
45 1
0.7%
108 1
0.7%
141 1
0.7%
142 1
0.7%
143 1
0.7%
156 1
0.7%
164 1
0.7%
165 1
0.7%
166 1
0.7%
167 1
0.7%
ValueCountFrequency (%)
387 1
0.7%
386 1
0.7%
385 1
0.7%
384 1
0.7%
383 1
0.7%
382 1
0.7%
381 1
0.7%
380 1
0.7%
379 1
0.7%
378 1
0.7%

과목명
Text

Distinct135
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:09:57.043020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length65
Mean length36.924658
Min length9

Characters and Unicode

Total characters5391
Distinct characters57
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)86.3%

Sample

1st rowNuclear Reactor Thermohydraulics
2nd rowseminar on Safe Transport of RAM
3rd rowRadiation Protection
4th rowRadiation Measurement 2
5th rowRadiation Dosimetry
ValueCountFrequency (%)
and 50
 
7.6%
physics 44
 
6.7%
43
 
6.6%
radiation 39
 
6.0%
protection 26
 
4.0%
science 25
 
3.8%
environmental 24
 
3.7%
chemistry 22
 
3.4%
nuclear 20
 
3.1%
engineering 19
 
2.9%
Other values (182) 343
52.4%
2023-12-12T13:09:57.428878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
9.4%
i 466
 
8.6%
n 450
 
8.3%
e 427
 
7.9%
a 373
 
6.9%
t 364
 
6.8%
o 329
 
6.1%
c 288
 
5.3%
s 286
 
5.3%
r 283
 
5.2%
Other values (47) 1616
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4230
78.5%
Uppercase Letter 557
 
10.3%
Space Separator 509
 
9.4%
Other Punctuation 85
 
1.6%
Dash Punctuation 5
 
0.1%
Decimal Number 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 466
11.0%
n 450
10.6%
e 427
10.1%
a 373
8.8%
t 364
8.6%
o 329
7.8%
c 288
 
6.8%
s 286
 
6.8%
r 283
 
6.7%
l 164
 
3.9%
Other values (16) 800
18.9%
Uppercase Letter
ValueCountFrequency (%)
P 114
20.5%
R 65
11.7%
C 58
10.4%
E 56
10.1%
S 56
10.1%
M 37
 
6.6%
I 30
 
5.4%
N 26
 
4.7%
D 23
 
4.1%
A 20
 
3.6%
Other values (11) 72
12.9%
Other Punctuation
ValueCountFrequency (%)
: 61
71.8%
& 21
 
24.7%
, 2
 
2.4%
/ 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4787
88.8%
Common 604
 
11.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 466
 
9.7%
n 450
 
9.4%
e 427
 
8.9%
a 373
 
7.8%
t 364
 
7.6%
o 329
 
6.9%
c 288
 
6.0%
s 286
 
6.0%
r 283
 
5.9%
l 164
 
3.4%
Other values (37) 1357
28.3%
Common
ValueCountFrequency (%)
509
84.3%
: 61
 
10.1%
& 21
 
3.5%
- 5
 
0.8%
1 2
 
0.3%
, 2
 
0.3%
( 1
 
0.2%
/ 1
 
0.2%
2 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509
 
9.4%
i 466
 
8.6%
n 450
 
8.3%
e 427
 
7.9%
a 373
 
6.9%
t 364
 
6.8%
o 329
 
6.1%
c 288
 
5.3%
s 286
 
5.3%
r 283
 
5.2%
Other values (47) 1616
30.0%

분야
Text

MISSING 

Distinct82
Distinct (%)93.2%
Missing58
Missing (%)39.7%
Memory size1.3 KiB
2023-12-12T13:09:57.766913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length43
Mean length30.5
Min length9

Characters and Unicode

Total characters2684
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)88.6%

Sample

1st rowStructural Integrity Assessment Methods
2nd rowUnix & Windows Programming
3rd rowRadiation Protection
4th rowRadiation Measurement 2
5th rowRadiation Dosimetry
ValueCountFrequency (%)
34
 
10.0%
chemistry 22
 
6.5%
physics 21
 
6.2%
and 15
 
4.4%
nuclear 14
 
4.1%
engineering 10
 
2.9%
computer 7
 
2.1%
biosciences 7
 
2.1%
introduction 6
 
1.8%
radiation 6
 
1.8%
Other values (123) 199
58.4%
2023-12-12T13:09:58.240916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
 
9.4%
e 220
 
8.2%
i 214
 
8.0%
n 179
 
6.7%
t 173
 
6.4%
s 161
 
6.0%
a 160
 
6.0%
r 153
 
5.7%
o 142
 
5.3%
c 137
 
5.1%
Other values (45) 892
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2085
77.7%
Uppercase Letter 295
 
11.0%
Space Separator 253
 
9.4%
Other Punctuation 43
 
1.6%
Dash Punctuation 5
 
0.2%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 220
10.6%
i 214
10.3%
n 179
 
8.6%
t 173
 
8.3%
s 161
 
7.7%
a 160
 
7.7%
r 153
 
7.3%
o 142
 
6.8%
c 137
 
6.6%
l 90
 
4.3%
Other values (15) 456
21.9%
Uppercase Letter
ValueCountFrequency (%)
P 49
16.6%
C 48
16.3%
M 27
9.2%
I 23
7.8%
E 22
7.5%
N 20
6.8%
S 19
 
6.4%
D 16
 
5.4%
R 14
 
4.7%
B 13
 
4.4%
Other values (11) 44
14.9%
Other Punctuation
ValueCountFrequency (%)
: 29
67.4%
& 12
27.9%
, 1
 
2.3%
/ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2380
88.7%
Common 304
 
11.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 220
 
9.2%
i 214
 
9.0%
n 179
 
7.5%
t 173
 
7.3%
s 161
 
6.8%
a 160
 
6.7%
r 153
 
6.4%
o 142
 
6.0%
c 137
 
5.8%
l 90
 
3.8%
Other values (36) 751
31.6%
Common
ValueCountFrequency (%)
253
83.2%
: 29
 
9.5%
& 12
 
3.9%
- 5
 
1.6%
, 1
 
0.3%
2 1
 
0.3%
/ 1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
 
9.4%
e 220
 
8.2%
i 214
 
8.0%
n 179
 
6.7%
t 173
 
6.4%
s 161
 
6.0%
a 160
 
6.0%
r 153
 
5.7%
o 142
 
5.3%
c 137
 
5.1%
Other values (45) 892
33.2%

내용
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:09:58.546662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length852.23288
Min length31

Characters and Unicode

Total characters124426
Distinct characters80
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)100.0%

Sample

1st rowThis course discusses the mathematical descriptions of heat generation and distribution in the reactor core, and heat removal by coolant flow. Furthermore, the numerical methods are discussed to solve the equations which describe the heat transfer in the reactor core. The critical thermal factor and the related theory for reactor thermal design, and boiling and two-phase flow phenomena are also included.
2nd rowGeneral Introduction to RadiationFundamentals of Health PhysicsTransport Requirements and Regulationsemergency Procedures
3rd rowMain conceptions and quantities. Ionization ra-diations and organism. Principles of radiation protection. Methods of quantum radiation protec-tion. Methods of neutron radiation protection. Several safety regulations and measures in ra-diation protection...
4th rowStatistical considerations in radiation measurements. Gamma-ray spectrum measurement. Measurement of energy of charged particles. Measurements based on interactions of neutrons with matter. Processing of radiation measurement data and problems of background..
5th rowMain conceptions. Ionization methods in dosimetry. Film-dosimeters. Scintillation methods. TLD. Neutron activation method. Neutron dosimetry by using moderation effect. Trace method...
ValueCountFrequency (%)
and 996
 
6.6%
of 908
 
6.0%
213
 
1.4%
in 182
 
1.2%
for 132
 
0.9%
to 117
 
0.8%
radiation 91
 
0.6%
nuclear 89
 
0.6%
control 81
 
0.5%
the 76
 
0.5%
Other values (4189) 12183
80.9%
2023-12-12T13:09:59.190023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14994
 
12.1%
e 10111
 
8.1%
i 8779
 
7.1%
n 8272
 
6.6%
a 8238
 
6.6%
t 8153
 
6.6%
o 8082
 
6.5%
r 7082
 
5.7%
s 6546
 
5.3%
c 4633
 
3.7%
Other values (70) 39536
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 95192
76.5%
Space Separator 14994
 
12.1%
Uppercase Letter 8046
 
6.5%
Other Punctuation 4109
 
3.3%
Math Symbol 764
 
0.6%
Dash Punctuation 448
 
0.4%
Decimal Number 361
 
0.3%
Close Punctuation 250
 
0.2%
Open Punctuation 246
 
0.2%
Final Punctuation 15
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10111
10.6%
i 8779
9.2%
n 8272
 
8.7%
a 8238
 
8.7%
t 8153
 
8.6%
o 8082
 
8.5%
r 7082
 
7.4%
s 6546
 
6.9%
c 4633
 
4.9%
l 4158
 
4.4%
Other values (16) 21138
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 847
 
10.5%
C 783
 
9.7%
P 650
 
8.1%
R 573
 
7.1%
D 565
 
7.0%
I 535
 
6.6%
M 479
 
6.0%
T 462
 
5.7%
E 452
 
5.6%
A 423
 
5.3%
Other values (16) 2277
28.3%
Decimal Number
ValueCountFrequency (%)
1 70
19.4%
2 57
15.8%
3 52
14.4%
0 40
11.1%
8 31
8.6%
5 27
 
7.5%
4 26
 
7.2%
6 26
 
7.2%
9 20
 
5.5%
7 12
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 2455
59.7%
. 695
 
16.9%
: 464
 
11.3%
; 282
 
6.9%
& 100
 
2.4%
/ 80
 
1.9%
' 29
 
0.7%
" 3
 
0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 747
97.8%
+ 17
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 244
99.2%
{ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
14994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 250
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 15
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 103238
83.0%
Common 21188
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10111
 
9.8%
i 8779
 
8.5%
n 8272
 
8.0%
a 8238
 
8.0%
t 8153
 
7.9%
o 8082
 
7.8%
r 7082
 
6.9%
s 6546
 
6.3%
c 4633
 
4.5%
l 4158
 
4.0%
Other values (42) 29184
28.3%
Common
ValueCountFrequency (%)
14994
70.8%
, 2455
 
11.6%
> 747
 
3.5%
. 695
 
3.3%
: 464
 
2.2%
- 448
 
2.1%
; 282
 
1.3%
) 250
 
1.2%
( 244
 
1.2%
& 100
 
0.5%
Other values (18) 509
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124410
> 99.9%
Punctuation 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14994
 
12.1%
e 10111
 
8.1%
i 8779
 
7.1%
n 8272
 
6.6%
a 8238
 
6.6%
t 8153
 
6.6%
o 8082
 
6.5%
r 7082
 
5.7%
s 6546
 
5.3%
c 4633
 
3.7%
Other values (68) 39520
31.8%
Punctuation
ValueCountFrequency (%)
’ 15
93.8%
‘ 1
 
6.2%

수준
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
135 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 135
92.5%
1 11
 
7.5%

Length

2023-12-12T13:09:59.355523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:09:59.489634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 135
92.5%
1 11
 
7.5%

작성자회원코드
Real number (ℝ)

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40283.884
Minimum777
Maximum82672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T13:09:59.709700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum777
5-th percentile4946
Q122878.5
median37646.5
Q359805.5
95-th percentile74949.75
Maximum82672
Range81895
Interquartile range (IQR)36927

Descriptive statistics

Standard deviation22666.856
Coefficient of variation (CV)0.56267803
Kurtosis-1.1623192
Mean40283.884
Median Absolute Deviation (MAD)19037.5
Skewness0.034857491
Sum5881447
Variance5.1378637 × 108
MonotonicityNot monotonic
2023-12-12T13:09:59.893428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56869 1
 
0.7%
48504 1
 
0.7%
69040 1
 
0.7%
34215 1
 
0.7%
58755 1
 
0.7%
53973 1
 
0.7%
9544 1
 
0.7%
50045 1
 
0.7%
26623 1
 
0.7%
23488 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
777 1
0.7%
1424 1
0.7%
1876 1
0.7%
2505 1
0.7%
4527 1
0.7%
4746 1
0.7%
4762 1
0.7%
4789 1
0.7%
5417 1
0.7%
5572 1
0.7%
ValueCountFrequency (%)
82672 1
0.7%
81911 1
0.7%
81510 1
0.7%
79305 1
0.7%
76048 1
0.7%
75905 1
0.7%
75068 1
0.7%
75052 1
0.7%
74643 1
0.7%
74619 1
0.7%

달력번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
144 
6
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row6
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 144
98.6%
6 1
 
0.7%
3 1
 
0.7%

Length

2023-12-12T13:10:00.082005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:10:00.217189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 144
98.6%
6 1
 
0.7%
3 1
 
0.7%

말머리
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
135 
4
 
5
3
 
5
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 135
92.5%
4 5
 
3.4%
3 5
 
3.4%
5 1
 
0.7%

Length

2023-12-12T13:10:00.372156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:10:00.528023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 135
92.5%
4 5
 
3.4%
3 5
 
3.4%
5 1
 
0.7%

일정시작일
Date

Distinct49
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2012-12-14 10:11:00
Maximum2012-12-27 16:19:00
2023-12-12T13:10:00.694293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:00.908116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

일정종료일
Date

Distinct49
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2012-12-20 10:11:00
Maximum2012-12-30 11:33:00
2023-12-12T13:10:01.152822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:10:01.335692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

Interactions

2023-12-12T13:09:55.982336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:55.754708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:56.145508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:55.865790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:10:01.452017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호분야수준작성자회원코드달력번호말머리일정시작일일정종료일
고유번호1.0001.0001.0000.0001.0000.8200.9950.995
분야1.0001.0001.0000.5341.0001.0001.0001.000
수준1.0001.0001.0000.0570.1631.0001.0001.000
작성자회원코드0.0000.5340.0571.0000.0000.2050.0000.000
달력번호1.0001.0000.1630.0001.0000.2921.0001.000
말머리0.8201.0001.0000.2050.2921.0001.0001.000
일정시작일0.9951.0001.0000.0001.0001.0001.0001.000
일정종료일0.9951.0001.0000.0001.0001.0001.0001.000
2023-12-12T13:10:01.589172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
말머리수준달력번호
말머리1.0000.9930.279
수준0.9931.0000.268
달력번호0.2790.2681.000
2023-12-12T13:10:01.733096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호작성자회원코드수준달력번호말머리
고유번호1.0000.0860.9750.9790.678
작성자회원코드0.0861.0000.0430.0000.115
수준0.9750.0431.0000.2680.993
달력번호0.9790.0000.2681.0000.279
말머리0.6780.1150.9930.2791.000

Missing values

2023-12-12T13:09:56.311520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:09:56.490525image/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

고유번호과목명분야내용수준작성자회원코드달력번호말머리일정시작일일정종료일
045Nuclear Reactor ThermohydraulicsStructural Integrity Assessment MethodsThis course discusses the mathematical descriptions of heat generation and distribution in the reactor core, and heat removal by coolant flow. Furthermore, the numerical methods are discussed to solve the equations which describe the heat transfer in the reactor core. The critical thermal factor and the related theory for reactor thermal design, and boiling and two-phase flow phenomena are also included.156869642012-12-14 10:112012-12-20 10:11
1108seminar on Safe Transport of RAMUnix & Windows ProgrammingGeneral Introduction to RadiationFundamentals of Health PhysicsTransport Requirements and Regulationsemergency Procedures323173312012-12-27 11:332012-12-30 11:33
2141Radiation ProtectionRadiation ProtectionMain conceptions and quantities. Ionization ra-diations and organism. Principles of radiation protection. Methods of quantum radiation protec-tion. Methods of neutron radiation protection. Several safety regulations and measures in ra-diation protection...125806132012-12-27 11:542012-12-28 11:54
3142Radiation Measurement 2Radiation Measurement 2Statistical considerations in radiation measurements. Gamma-ray spectrum measurement. Measurement of energy of charged particles. Measurements based on interactions of neutrons with matter. Processing of radiation measurement data and problems of background..126377132012-12-27 11:542012-12-28 11:54
4143Radiation DosimetryRadiation DosimetryMain conceptions. Ionization methods in dosimetry. Film-dosimeters. Scintillation methods. TLD. Neutron activation method. Neutron dosimetry by using moderation effect. Trace method...136165132012-12-27 11:552012-12-28 11:55
5156Non-Destructive Testing MethodsNon-Destructive Testing MethodsRole of NDT in engineering and economics. Method of film exposition by quantum ionization radiation. Method of measuring the beam trans-mitted and beam backwards scatted. Method of ultrasonic testing. Method of eddy current test-ing. Comparison of features and possibilities of practical utilizations of the testing methods130828132012-12-27 11:592012-12-28 11:59
6164Introduction to Nuclear physicsIntroduction to Nuclear physicsProperties of nuclei. Models of the atomic nucleus. Radioactive nuclear tranformations. Interaction of nuclear radiation with matter. Nuclear reactions.137021142012-12-27 12:032012-12-28 12:03
7165Introduction to Nuclear Techniques & Environmental PhysicsIntroduction to Nuclear Techniques & Environmental PhysicsRadiation sources. Interaction of Radiation with matter. Radiation detection. Radiotracer technique and applications. Applications of nuclear techniques in industry, agriculture, medicine, environment etc.. Radiation protection. Contaminating sources. Problem of development and environment.123567142012-12-27 12:032012-12-28 12:03
8166Introduction to Nuclear Reactor & NPPIntroduction to Nuclear Reactor & NPPPhysical bases of nuclear reactor. Dynamics of nuclear reactor. Change of isotopic components in nuclear fuel. Temperature effect. Control sys-tem of nuclear reactor. Nuclear power plan and its components. Types of nuclear power reactors. Nuclear power and environmental problems164189142012-12-27 12:032012-12-28 12:03
9167Introduction to Neutron PhysicsIntroduction to Neutron PhysicsPhysical properties of neutron. Neutron sources. Neutron field. Moderation and thermonization of neutrons. Neutron scattering. Neutron detectors and methods of neutron spectrum measurement. Neutron activation method. Neutron crossection determination. Applications of neutron sources.135299132012-12-27 12:042012-12-28 12:04
고유번호과목명분야내용수준작성자회원코드달력번호말머리일정시작일일정종료일
136378Chemistry : Chemical Thermodynamics<NA>>Introduction: First, second and third law of thermodynamics; Heat capacity, entropy, statistical interpretation of entropy, thermodynamic potentials, chemical potential; thermodynamic properties of ideal gases and mixtures of ideal gases; thermodynamic treatment of non ideal gases>Reaction Equilibria: Reactions involving gases; Reactions involving pure condensed phases and a gaseous phase; Ellingham diagrams; >Single Component Phase Diagram: Gibbs energies of pure phases and allotropes; Gibbs energy vs. Temperature and pressure; vapour pressure-temperature relation at equilibrium (Clausius - Clapeyron equation); >Binary Solutions: Raoultian and Henrian solutions; Thermodynamic properties of ideal solutions; Non ideal solutions, activity, activity coefficient, Gibbs Duhem equation, interaction parameters; Regular solution model, concepts of positive and negative deviation, alpha - function>Two component Phase Diagram: Binary phase diagrams with two ideal solutions, one ideal and one non-ideal solution with bi373826112012-12-27 16:172012-12-28 16:17
137379Chemistry : Chemical Dynamics and Rate Processes<NA>Chemical dynamics - what and why Pragmatic and puristic approach; Interplay between experiment and theory; State-to-state reaction cross section Correlation to thermal rate coefficient. >Intermolecular potential -models; potential energy surfaces (PES); attractive versus repulsive; energy consumption and disposal; surprisal analysis; efficacy of vibrational, rotational and translational energy; vibrational adiabaticity; >Collision dynamics -Scattering as a probe; differential cross section; angular deflection - deflection function -rainbow and glory impact parameters; reaction cross section reaction probability; Opacity function -steric factor -reactive asymmetry; laser pump-probe technique in bulb experiment; angular distribution in reactive collisions -direct reaction' versus collision complex; forward, backward and forward -backward scattering; conservation of angular momentum- Newton diagram-lab -to -centre of mass transformation. >Molecular energy transfer -macroscopic description; relaxation rate equati362585112012-12-27 16:182012-12-28 16:18
138380Chemistry : Analytical Chemistry<NA>Introduction: Relevance of analytical chemistry in atomic energy programme including trace analysis.>Sampling: Methods of sampling and associated errors. Separation Techniques for Analysis>Solvent extraction technique: Principles and applications in analytical and industrial processes. >Ion exchange: Principles of cation and anion exchangers and their applications. >Chromatography: Gas chromatography, liquid chromatography including HPLC and ion chromatography. Principles and applications. Methods of Determination>Spectrochemical methods: Principles and applications of absorption spectrometry including UV-vis molecular absorption spectrometry, Flame and Graphite Furnace AAS, Emission spectrometry including ICPAES and DCPAES, Fluorescence spectrometry, brief discussion on sources, detectors, spectrometers, interferences, detection limits, sensitivity, line broadening etc. Hyphenated techniques like ICP-MS, GD-MS. Recent advances in single atom detection.>Mass spectrometry: Scope and applications of mass spectr323253112012-12-27 16:182012-12-28 16:18
139381Biosciences :Plant Breeding and Plant Protection<NA>Plant Breeding:>Germplasm Collection - Evaluation and Maintenance Hybridization of Crop Plants - Back Cross Methods and Hybrid Seed Technology - Chromosome Engineering and Crop Improvement (2)>Yield Improvement - Yield Components - Idiotypes and Recent Developments - Yield Stability - tolerance to insect Pests and Abiotic Stress (2)>Methodology and Protocol for Testing and Release of Cultivars for Commercial Cultivation - Use of induced Mutations for Crop Improvement with Emphasis on Work in DAE>Molecular Markers in Plant Breeding (4)>Plant Diseases and Their Management (9)>Plant Pathology: Response to Biotic Stresses Like Bacteria, Viruses>Fungi, toxins. Molecular Biology of Host Pathogen interactions. >Disease Resistance >Quality Improvement>Plant Pests and Their Management: (7)>Important Crop Pests and Their Life Histories - Nature of Damage - Conventional Control Methods, Beneficial insects >Microbial Control (Biopesticides) - Parasites and Predators - insect >Resistant Crop Plants>Use of Radiations in Pe374619112012-12-27 16:182012-12-28 16:18
140382Biosciences :Mathematics<NA>Real Number System: Natural numbers, Zero, positive and negative integers, Rational and irrational numbers, fundamental laws - Additive and multiplicative identity element, Commutative, associative and distributive laws, Imaginary numbers.>Indices: Definition, Laws of indices, Meaning of a0, ap/q and a-m, Meaning of ax when x is irrational .>Logarithms: Definition, Laws of logarithms, Rule for change of base, Common and natural logarithms, Characteristic and mantissa, positive and negative bases.>Polynomial Equations: Definition of polynomials, Expressions, equations and identities, Quadratic equation, Roots, Relation between roots and coefficients, Possible solutions of a polynomial equation.>Permutations and Combinations: Elements of probability, Permutation and combination, nCr and nPr notations, Factorials.>Coordinate Geometry: Rectangular and Polar coordinates, Distance between points, Equations of straight lines, Slope and Intercept and their significance, equations of circle, >Calculus and Trigonometry368752112012-12-27 16:182012-12-28 16:18
141383Biosciences : Reactor Science<NA>>Basic concepts of Nuclear Energy>Properties of Nuclii, binding energy, cross section, Nuclear fission process and energy release, fission products, fission product activity, fission gammas, Neutron flux>Interaction of neutrons with matter>Neutron reactions, production of neutrons, Nuclear reactions with thermal and fast neutrons>Concept of a Nuclear reactor>Chain reaction, multiplication factor, four factor formula, Nuclear reactor materials, Fissile, fertile, fissionable nuclides, Fuel, moderator, coolant, structural materials, concepts of irradiation, burnup, criticality>Exposition to different reactor systems >Indian nuclear power programme, thorium utilisation (AHWR)323444112012-12-27 16:182012-12-28 16:18
142384Biosciences : Radiation Biology<NA>Introduction to Radiation Biology: Radiation and Life, Concept of Radiation Dose, Stepwise Development of Radiation injury, Targets of Radiation Damage, Stochastic and Deterministic Effects of Radiation. Concept of RBE and LET. Dose-Effect Relationships. (3)>Free Radical Biology: Radiation induced Generation of Free Radicals, ROS and RNS, Other Methods of Generating ROS. Detection of Free Radicals, ESR, Pulse Radiolysis, Biological Effects of Free Radicals, Biological Defense Against Free Radicals. (3)>Cellular Radiobiology: Acute Radiation Syndromes Bone Marrow Syndrome, Gastrointestinal Syndrome and CNS Syndrome. Sub-Lethal and Potentially Lethal Damage and Recovery Physical, Chemical and Biological Factors Modifying Radiation Damage. Low Dose Radiation Effects, Concept of Hormesis. (3)>Radiation induced Signal Transduction and Cell Death: Cytoprotective and Cytotoxic Pathways Activated By Radiation, Cross Communication. Activation of Radiation Damage Sensors and Alarm Signals. Mechanisms of Radiation indu368609112012-12-27 16:192012-12-28 16:19
143385Biosciences : Plant Biology<NA>Mendelian genetics: Concept of allele, Laws of segregation, Variations and dominance, Position effect, Multiple alleles, Lethal genes, Gene interaction, Penetrance and expressivity, Hybrid vigour (2); X-linked inheritance.Chromosome mapping: linkage, Recombination and linkage maps, mapping functions, linkage maps vs. physical maps.(2)>Non Mendelian genetics: Cytoplasmic inheritance and male sterility.(2)>Quantitative genetics: Genotype and phenotype distribution, Heritability of a trait, Counting and locating genes. Population genetics: Variation and its modulation, Source of variation, Sexual reproduction and variation, Selection, polymorphism, artificial selection (4)>Photosynthesis: Organization of chloroplast, Light reactions, Carbon assimilation pathways, photorespiration, Bacterial photosynthesis, Artificial photosynthesis, Stress and photosynthesis, Photosynthesis in relation to plant productivity and biomass, Molecular biology of photosynthesis. (7)>Biological nitrogen fixation and nitrate assimilatio318708112012-12-27 16:192012-12-28 16:19
144386Biosciences : Physics and Electronics<NA>Mechanics: Various forms of work energy and Power; Linear and Circular Motion; Centrifugation; (2)>Atomic Structure: Principles of quantization; (1)>Electromagnetic and Particle radiation: Production and properties of EM radiation; Wave / particle duality (2)>Radioactivity and Interaction of Radiation with matter: Binding energy; Nuclear reactions; Laws of radioactive decay; Interaction with matter; Scintillation (3)>Optics: Interference, diffraction and Polarization; CD ORD spectra; Beer Lambert's Law; Fluorescence and Phosphorescence (2)>Basic principles of electricity: Concepts of Voltage, current and power; Circuit elements; Electrophoresis; Dynamos and Motors (2)>Introduction to Electronic Devices and circuits: Basic circuits; Rectifiers; Amplifiers and Oscillators (2)>Linear / Digital Integrated circuits: Op amps and comparators; Boolean Logic; Gates; Flip-Flops; Registers; Application in control circuits/computers (3)>Power supplies: Voltage, current and power regulation; Linear and Switch mode power s336388112012-12-27 16:192012-12-28 16:19
145387Biosciences : Personal Computer and Applications<NA>Introduction to Personal Computers: LAN, Different CPUs, Number systems, binary, octal, hexadecimal and decimal, Conversion from one to another, Bits and bytes, Representation of integers and real numbers in PC. CPU, Processor and coprocessor, Disks and disk drives, Hard disk, floppies etc., Memory, Monitor, Printer, CD ROM.>Operating System: DOS and Windows>Computer Viruses: MS Office: Word, Excel, Access, Microcal origin >Internet Applications: Electronic mail, File Transfer Protocol, Telnet, WWW and Gopher. >Databases: Access and retrieval.>Computer programming: Introduction to C and HTML programming.352143112012-12-27 16:192012-12-28 16:19