Overview

Dataset statistics

Number of variables7
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory62.3 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description한국원자력의학원 방사선비상진료센터 2021년~2022년 방사선비상진료요원 교육실시 일자 및 세부현황입니다.
Author한국원자력의학원
URLhttps://www.data.go.kr/data/15048053/fileData.do

Alerts

참석자 (명) is highly overall correlated with 이수자 (명)High correlation
이수자 (명) is highly overall correlated with 참석자 (명)High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:44:46.486577
Analysis finished2024-03-14 14:44:49.790622
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-14T23:44:49.992422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-03-14T23:44:50.433476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

교육과정명
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-14T23:44:51.300224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length30.153846
Min length12

Characters and Unicode

Total characters1176
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row2022년도 온라인 1차 방사선비상진료 보수교육(비대면)
2nd row2022년도 온라인 1차 방사선비상진료 신규교육(비대면)
3rd row1차 방사선비상진료 신규교육(비대면) - 의사연수교육 연계
4th row2022년도 온라인 2차 방사선비상진료 신규교육(비대면)
5th row2022년도 온라인 2차 방사선비상진료 보수교육(비대면)
ValueCountFrequency (%)
방사선비상진료 29
 
14.4%
2022년도 13
 
6.5%
온라인 12
 
6.0%
2021년도 12
 
6.0%
신규교육(비대면 9
 
4.5%
연계 9
 
4.5%
보수교육 8
 
4.0%
1차 8
 
4.0%
2차 7
 
3.5%
7
 
3.5%
Other values (44) 87
43.3%
2024-03-14T23:44:52.599405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
13.8%
2 82
 
7.0%
비 50
 
4.3%
사 48
 
4.1%
육 42
 
3.6%
교 42
 
3.6%
료 39
 
3.3%
방 36
 
3.1%
선 36
 
3.1%
상 32
 
2.7%
Other values (73) 607
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
67.4%
Space Separator 162
 
13.8%
Decimal Number 148
 
12.6%
Close Punctuation 28
 
2.4%
Open Punctuation 28
 
2.4%
Other Punctuation 10
 
0.9%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 50
 
6.3%
사 48
 
6.1%
육 42
 
5.3%
교 42
 
5.3%
료 39
 
4.9%
방 36
 
4.5%
선 36
 
4.5%
상 32
 
4.0%
진 32
 
4.0%
년 27
 
3.4%
Other values (61) 409
51.6%
Decimal Number
ValueCountFrequency (%)
2 82
55.4%
0 31
 
20.9%
1 26
 
17.6%
3 5
 
3.4%
5 2
 
1.4%
4 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
. 2
 
20.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
67.4%
Common 383
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 50
 
6.3%
사 48
 
6.1%
육 42
 
5.3%
교 42
 
5.3%
료 39
 
4.9%
방 36
 
4.5%
선 36
 
4.5%
상 32
 
4.0%
진 32
 
4.0%
년 27
 
3.4%
Other values (61) 409
51.6%
Common
ValueCountFrequency (%)
162
42.3%
2 82
21.4%
0 31
 
8.1%
) 28
 
7.3%
( 28
 
7.3%
1 26
 
6.8%
, 8
 
2.1%
- 7
 
1.8%
3 5
 
1.3%
5 2
 
0.5%
Other values (2) 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
67.4%
ASCII 383
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
42.3%
2 82
21.4%
0 31
 
8.1%
) 28
 
7.3%
( 28
 
7.3%
1 26
 
6.8%
, 8
 
2.1%
- 7
 
1.8%
3 5
 
1.3%
5 2
 
0.5%
Other values (2) 4
 
1.0%
Hangul
ValueCountFrequency (%)
비 50
 
6.3%
사 48
 
6.1%
육 42
 
5.3%
교 42
 
5.3%
료 39
 
4.9%
방 36
 
4.5%
선 36
 
4.5%
상 32
 
4.0%
진 32
 
4.0%
년 27
 
3.4%
Other values (61) 409
51.6%

일자
Text

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-14T23:44:53.405500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length12.358974
Min length10

Characters and Unicode

Total characters482
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)69.2%

Sample

1st row2022-04-11~29
2nd row2022-04-11~29
3rd row2022-04-19~20
4th row2022-06-13~07-01
5th row2022-06-13~07-01
ValueCountFrequency (%)
2022-04-11~29 2
 
5.1%
2022-11-18 2
 
5.1%
2021-07-05~23 2
 
5.1%
2021-05-03~21 2
 
5.1%
2022-06-13~07-01 2
 
5.1%
2022-09-02 2
 
5.1%
2021-10-05~22 2
 
5.1%
2021-10-26 1
 
2.6%
2021-11-02 1
 
2.6%
2021-11-03 1
 
2.6%
Other values (22) 22
56.4%
2024-03-14T23:44:54.499727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 138
28.6%
0 87
18.0%
1 86
17.8%
- 82
17.0%
~ 26
 
5.4%
3 16
 
3.3%
6 12
 
2.5%
5 9
 
1.9%
4 8
 
1.7%
9 7
 
1.5%
Other values (3) 11
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 372
77.2%
Dash Punctuation 82
 
17.0%
Math Symbol 26
 
5.4%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 138
37.1%
0 87
23.4%
1 86
23.1%
3 16
 
4.3%
6 12
 
3.2%
5 9
 
2.4%
4 8
 
2.2%
9 7
 
1.9%
7 5
 
1.3%
8 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 482
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 138
28.6%
0 87
18.0%
1 86
17.8%
- 82
17.0%
~ 26
 
5.4%
3 16
 
3.3%
6 12
 
2.5%
5 9
 
1.9%
4 8
 
1.7%
9 7
 
1.5%
Other values (3) 11
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 138
28.6%
0 87
18.0%
1 86
17.8%
- 82
17.0%
~ 26
 
5.4%
3 16
 
3.3%
6 12
 
2.5%
5 9
 
1.9%
4 8
 
1.7%
9 7
 
1.5%
Other values (3) 11
 
2.3%

장소
Categorical

Distinct10
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
온라인
12 
의학원
11 
레미스
6 
방사선보건원
4 
고리원전 홍보관
 
1
Other values (5)
5 

Length

Max length8
Median length3
Mean length3.8717949
Min length2

Unique

Unique6 ?
Unique (%)15.4%

Sample

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

Common Values

ValueCountFrequency (%)
온라인 12
30.8%
의학원 11
28.2%
레미스 6
15.4%
방사선보건원 4
 
10.3%
고리원전 홍보관 1
 
2.6%
충남대학교병원 1
 
2.6%
포항선린대학교 1
 
2.6%
부산역 부페시즈 1
 
2.6%
울산 MH웨딩홀 1
 
2.6%
울진 1
 
2.6%

Length

2024-03-14T23:44:54.736792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:44:55.088184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 12
28.6%
의학원 11
26.2%
레미스 6
14.3%
방사선보건원 4
 
9.5%
고리원전 1
 
2.4%
홍보관 1
 
2.4%
충남대학교병원 1
 
2.4%
포항선린대학교 1
 
2.4%
부산역 1
 
2.4%
부페시즈 1
 
2.4%
Other values (3) 3
 
7.1%

내용
Text

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-14T23:44:55.977545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length31
Mean length24.410256
Min length11

Characters and Unicode

Total characters952
Distinct characters104
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)48.7%

Sample

1st row온라인 1차 방사선비상진료 신규교육(비대면)
2nd row온라인 1차 방사선비상진료 보수교육(비대면)
3rd row온라인 1차 방사선비상진료 신규교육(비대면)-의사연수교육 연계
4th row온라인 1차 방사선비상진료 신규교육(비대면)
5th row온라인 1차 방사선비상진료 보수교육(비대면)
ValueCountFrequency (%)
방사선비상진료 20
 
12.2%
온라인 14
 
8.5%
1차 10
 
6.1%
연계 9
 
5.5%
위한 7
 
4.3%
교육 6
 
3.7%
보수교육(비대면 5
 
3.0%
방사선 5
 
3.0%
보수교육 5
 
3.0%
신규교육(비대면 5
 
3.0%
Other values (47) 78
47.6%
2024-03-14T23:44:57.319291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
13.4%
비 44
 
4.6%
육 41
 
4.3%
교 41
 
4.3%
방 41
 
4.3%
사 40
 
4.2%
선 35
 
3.7%
상 28
 
2.9%
료 27
 
2.8%
( 25
 
2.6%
Other values (94) 502
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
78.6%
Space Separator 128
 
13.4%
Open Punctuation 25
 
2.6%
Close Punctuation 25
 
2.6%
Decimal Number 15
 
1.6%
Dash Punctuation 4
 
0.4%
Other Punctuation 4
 
0.4%
Connector Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 44
 
5.9%
육 41
 
5.5%
교 41
 
5.5%
방 41
 
5.5%
사 40
 
5.3%
선 35
 
4.7%
상 28
 
3.7%
료 27
 
3.6%
진 23
 
3.1%
대 22
 
2.9%
Other values (84) 406
54.3%
Decimal Number
ValueCountFrequency (%)
1 10
66.7%
3 3
 
20.0%
2 2
 
13.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
78.6%
Common 204
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 44
 
5.9%
육 41
 
5.5%
교 41
 
5.5%
방 41
 
5.5%
사 40
 
5.3%
선 35
 
4.7%
상 28
 
3.7%
료 27
 
3.6%
진 23
 
3.1%
대 22
 
2.9%
Other values (84) 406
54.3%
Common
ValueCountFrequency (%)
128
62.7%
( 25
 
12.3%
) 25
 
12.3%
1 10
 
4.9%
- 4
 
2.0%
_ 3
 
1.5%
, 3
 
1.5%
3 3
 
1.5%
2 2
 
1.0%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
78.6%
ASCII 204
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
62.7%
( 25
 
12.3%
) 25
 
12.3%
1 10
 
4.9%
- 4
 
2.0%
_ 3
 
1.5%
, 3
 
1.5%
3 3
 
1.5%
2 2
 
1.0%
. 1
 
0.5%
Hangul
ValueCountFrequency (%)
비 44
 
5.9%
육 41
 
5.5%
교 41
 
5.5%
방 41
 
5.5%
사 40
 
5.3%
선 35
 
4.7%
상 28
 
3.7%
료 27
 
3.6%
진 23
 
3.1%
대 22
 
2.9%
Other values (84) 406
54.3%

참석자 (명)
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.589744
Minimum1
Maximum518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-14T23:44:57.701565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q14
median9
Q333
95-th percentile139.8
Maximum518
Range517
Interquartile range (IQR)29

Descriptive statistics

Standard deviation102.07034
Coefficient of variation (CV)2.2388881
Kurtosis14.914886
Mean45.589744
Median Absolute Deviation (MAD)7
Skewness3.7901866
Sum1778
Variance10418.354
MonotonicityNot monotonic
2024-03-14T23:44:57.917268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2 6
 
15.4%
6 3
 
7.7%
4 3
 
7.7%
1 2
 
5.1%
11 2
 
5.1%
8 2
 
5.1%
518 1
 
2.6%
65 1
 
2.6%
14 1
 
2.6%
9 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
1 2
 
5.1%
2 6
15.4%
3 1
 
2.6%
4 3
7.7%
5 1
 
2.6%
6 3
7.7%
7 1
 
2.6%
8 2
 
5.1%
9 1
 
2.6%
11 2
 
5.1%
ValueCountFrequency (%)
518 1
2.6%
390 1
2.6%
112 1
2.6%
104 1
2.6%
91 1
2.6%
84 1
2.6%
72 1
2.6%
65 1
2.6%
57 1
2.6%
35 1
2.6%

이수자 (명)
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.025641
Minimum1
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-14T23:44:58.131061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q332.5
95-th percentile134.7
Maximum490
Range489
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation97.215303
Coefficient of variation (CV)2.2081519
Kurtosis14.570694
Mean44.025641
Median Absolute Deviation (MAD)7
Skewness3.7472223
Sum1717
Variance9450.8151
MonotonicityNot monotonic
2024-03-14T23:44:58.455092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 5
 
12.8%
6 3
 
7.7%
1 3
 
7.7%
4 3
 
7.7%
7 2
 
5.1%
490 1
 
2.6%
57 1
 
2.6%
71 1
 
2.6%
35 1
 
2.6%
3 1
 
2.6%
Other values (18) 18
46.2%
ValueCountFrequency (%)
1 3
7.7%
2 5
12.8%
3 1
 
2.6%
4 3
7.7%
5 1
 
2.6%
6 3
7.7%
7 2
 
5.1%
8 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%
ValueCountFrequency (%)
490 1
2.6%
375 1
2.6%
108 1
2.6%
103 1
2.6%
90 1
2.6%
78 1
2.6%
71 1
2.6%
65 1
2.6%
57 1
2.6%
35 1
2.6%

Interactions

2024-03-14T23:44:48.440292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:46.945252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:47.707938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:48.697772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:47.212257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:47.967795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:48.933652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:47.458530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:44:48.204816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:44:58.917962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번교육과정명일자장소내용참석자 (명)이수자 (명)
연번1.0001.0000.9890.8600.8670.5260.578
교육과정명1.0001.0000.9861.0000.9940.9150.885
일자0.9890.9861.0001.0000.9510.0000.000
장소0.8601.0001.0001.0000.9850.0000.000
내용0.8670.9940.9510.9851.0000.0000.000
참석자 (명)0.5260.9150.0000.0000.0001.0000.997
이수자 (명)0.5780.8850.0000.0000.0000.9971.000
2024-03-14T23:44:59.196548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번참석자 (명)이수자 (명)장소
연번1.000-0.176-0.1660.382
참석자 (명)-0.1761.0000.9980.000
이수자 (명)-0.1660.9981.0000.000
장소0.3820.0000.0001.000

Missing values

2024-03-14T23:44:49.265082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:44:49.645333image/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

연번교육과정명일자장소내용참석자 (명)이수자 (명)
012022년도 온라인 1차 방사선비상진료 보수교육(비대면)2022-04-11~29레미스온라인 1차 방사선비상진료 신규교육(비대면)518490
122022년도 온라인 1차 방사선비상진료 신규교육(비대면)2022-04-11~29레미스온라인 1차 방사선비상진료 보수교육(비대면)112108
231차 방사선비상진료 신규교육(비대면) - 의사연수교육 연계2022-04-19~20레미스온라인 1차 방사선비상진료 신규교육(비대면)-의사연수교육 연계66
342022년도 온라인 2차 방사선비상진료 신규교육(비대면)2022-06-13~07-01레미스온라인 1차 방사선비상진료 신규교육(비대면)3130
452022년도 온라인 2차 방사선비상진료 보수교육(비대면)2022-06-13~07-01레미스온라인 1차 방사선비상진료 보수교육(비대면)104103
562차 방사선비상진료 신규교육(비대면) - 의사연수교육 연계2022-06-15~16레미스온라인 1차 방사선비상진료 신규교육(비대면)-의사연수교육 연계11
672022년도 본.분원 협력 방사선비상진료 교육.훈련(보수교육)2022-06-22~23고리원전 홍보관본.분원(한국원자력의학원, 동남권원자력의학원) 협력한 동남권역 방사선비상진료 보수교육1110
782022년도 3차 방사선비상진료 보수교육 실시(보건물리 특화과정)2022-07-22의학원방사선 계측장비 실습44
894차 집합 보수교육(병원대응 실습과정) - 비의료직(의료기사, 행정직, 연구직)2022-09-02의학원보수교육(병원대응 실습과정)21
9104차 집합 보수교육(병원대응 실습과정) - 의료직(의사, 간호사, 응급구조사)2022-09-02의학원보수교육(병원대응 실습과정)66
연번교육과정명일자장소내용참석자 (명)이수자 (명)
29302021년도 온라인 3차 방사선비상진료 신규교육(비대면) - 의사연수교육 연계2021-10-12~13온라인온라인 1차 방사선비상진료 신규교육(비대면)-의사연수교육 연계11
30312021년도 한울연합훈련 연계 방사선비상진료 보수교육(비대면)2021-10-26울진한울연합훈련 연계 방사선비상진료교육(훈련보수)33
31322021년 방사선비상진료 1차 간호직 특성화교육2021-11-02의학원방사선 방호, 감염병 대비를 위한 절차점검88
32332021년 방사선비상진료 2차 간호직 특성화교육2021-11-03의학원방사선 방호, 감염병 대비를 위한 절차점검55
33342021 방사선보건원 방사선비상진료 신규교육2021-11-15~16방사선보건원방사선보건원(방재교육기관) 자체 교육1111
34352021 방사선보건원 방사선비상진료 보수교육2021-11-22~23방사선보건원방사선보건원(방재교육기관) 자체 교육99
35362021년도 방사선비상진료 의료기사직 특성화교육2021-11-24의학원방사선비상의료지원본부 운영을 위한 직종별 교육_의료기사직22
36372021년도 방사선비상진료 행정직 특성화 교육과정2021-11-26의학원방사선비상의료지원본부 운영을 위한 직종별 교육_행정직22
37382021 의무직 특성화교육 (비대면)2021-11-30온라인방사선비상의료지원본부 운영을 위한 직종별 교육_의무직(비대면)87
38392021 의무직 특성화교육2021-11-22~12-10의학원감염 및 오염환자 신속대처 시뮬레이션1414