Overview

Dataset statistics

Number of variables9
Number of observations224
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory75.6 B

Variable types

Categorical4
Text1
Numeric3
DateTime1

Dataset

Description제주특별자치도 공공정책연수원(구. 인재개발원)에서 진행하는 공무원교육에 대한 데이터로 과정명, 대상, 횟수, 정원, 계획인원, 교육일정 등의 정보 제공 링크: http://www.jeju.go.kr/jejuedu/index.htm
URLhttps://www.data.go.kr/data/15056428/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
분야별 is highly overall correlated with 횟수(회) and 4 other fieldsHigh correlation
분야별 상세 is highly overall correlated with 횟수(회) and 3 other fieldsHigh correlation
횟수(회) is highly overall correlated with 정원(명) and 4 other fieldsHigh correlation
정원(명) is highly overall correlated with 횟수(회) and 4 other fieldsHigh correlation
계획인원(명) is highly overall correlated with 횟수(회) and 3 other fieldsHigh correlation
대상 is highly overall correlated with 분야별 and 1 other fieldsHigh correlation
교육일정 is highly overall correlated with 횟수(회) and 4 other fieldsHigh correlation
대상 is highly imbalanced (64.8%)Imbalance
과정명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:02:34.643887
Analysis finished2023-12-12 07:02:36.530422
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야별
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
이러닝교육
131 
전문교육
53 
기반가치교육
24 
자치경찰교육
 
9
인문소양교육
 
6

Length

Max length6
Median length5
Mean length4.9419643
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
이러닝교육 131
58.5%
전문교육 53
23.7%
기반가치교육 24
 
10.7%
자치경찰교육 9
 
4.0%
인문소양교육 6
 
2.7%
독서통신교육 1
 
0.4%

Length

2023-12-12T16:02:36.624473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:02:36.801811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이러닝교육 131
58.5%
전문교육 53
23.7%
기반가치교육 24
 
10.7%
자치경찰교육 9
 
4.0%
인문소양교육 6
 
2.7%
독서통신교육 1
 
0.4%

분야별 상세
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
직무공통
26 
공직가치
21 
글로벌분야
19 
직무전문
18 
정보화교육
18 
Other values (15)
122 

Length

Max length7
Median length4
Mean length4.6696429
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row특별교육
2nd row특별교육
3rd row기본교육
4th row역점시책분야
5th row역점시책분야

Common Values

ValueCountFrequency (%)
직무공통 26
11.6%
공직가치 21
9.4%
글로벌분야 19
 
8.5%
직무전문 18
 
8.0%
정보화교육 18
 
8.0%
리더십자기계발 17
 
7.6%
직무분야 16
 
7.1%
ICT정보화 14
 
6.2%
국정철학과제 13
 
5.8%
인문소양 11
 
4.9%
Other values (10) 51
22.8%

Length

2023-12-12T16:02:36.961043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
직무공통 26
11.6%
공직가치 21
9.4%
글로벌분야 19
 
8.5%
직무전문 18
 
8.0%
정보화교육 18
 
8.0%
리더십자기계발 17
 
7.6%
직무분야 16
 
7.1%
ict정보화 14
 
6.2%
국정철학과제 13
 
5.8%
인문소양 11
 
4.9%
Other values (10) 51
22.8%

과정명
Text

UNIQUE 

Distinct224
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:02:37.563614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26.5
Mean length15.276786
Min length2

Characters and Unicode

Total characters3422
Distinct characters405
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)100.0%

Sample

1st row도정현안 공유 청렴 특별교육
2nd row공직자와 도민이 함께하는 열린강좌
3rd row신규 임용자 과정
4th row4차 산업 혁명과 빅데이터 이해 과정
5th row생애주기별 사회복지 이해 과정
ValueCountFrequency (%)
과정 45
 
5.5%
이해 21
 
2.6%
및 17
 
2.1%
위한 9
 
1.1%
실무 9
 
1.1%
배우는 7
 
0.9%
활용 7
 
0.9%
이해와 6
 
0.7%
향상 6
 
0.7%
제주 6
 
0.7%
Other values (565) 685
83.7%
2023-12-12T16:02:38.123363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
 
17.4%
정 97
 
2.8%
과 90
 
2.6%
이 63
 
1.8%
지 53
 
1.5%
의 52
 
1.5%
기 47
 
1.4%
( 47
 
1.4%
) 47
 
1.4%
해 44
 
1.3%
Other values (395) 2288
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2607
76.2%
Space Separator 594
 
17.4%
Open Punctuation 48
 
1.4%
Close Punctuation 48
 
1.4%
Lowercase Letter 40
 
1.2%
Uppercase Letter 34
 
1.0%
Decimal Number 30
 
0.9%
Other Punctuation 17
 
0.5%
Final Punctuation 2
 
0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 97
 
3.7%
과 90
 
3.5%
이 63
 
2.4%
지 53
 
2.0%
의 52
 
2.0%
기 47
 
1.8%
해 44
 
1.7%
공 40
 
1.5%
는 39
 
1.5%
사 39
 
1.5%
Other values (345) 2043
78.4%
Uppercase Letter
ValueCountFrequency (%)
A 5
14.7%
P 4
11.8%
D 4
11.8%
R 3
8.8%
I 3
8.8%
Z 3
8.8%
M 2
 
5.9%
T 2
 
5.9%
E 1
 
2.9%
F 1
 
2.9%
Other values (6) 6
17.6%
Lowercase Letter
ValueCountFrequency (%)
n 6
15.0%
o 6
15.0%
t 5
12.5%
i 5
12.5%
w 3
7.5%
r 3
7.5%
h 3
7.5%
e 2
 
5.0%
g 2
 
5.0%
d 2
 
5.0%
Other values (3) 3
7.5%
Decimal Number
ValueCountFrequency (%)
2 7
23.3%
0 6
20.0%
4 5
16.7%
5 3
10.0%
1 3
10.0%
3 3
10.0%
9 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
! 7
41.2%
. 3
17.6%
& 3
17.6%
· 3
17.6%
? 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 47
97.9%
[ 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
) 47
97.9%
] 1
 
2.1%
Space Separator
ValueCountFrequency (%)
594
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2606
76.2%
Common 741
 
21.7%
Latin 74
 
2.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 97
 
3.7%
과 90
 
3.5%
이 63
 
2.4%
지 53
 
2.0%
의 52
 
2.0%
기 47
 
1.8%
해 44
 
1.7%
공 40
 
1.5%
는 39
 
1.5%
사 39
 
1.5%
Other values (344) 2042
78.4%
Latin
ValueCountFrequency (%)
n 6
 
8.1%
o 6
 
8.1%
A 5
 
6.8%
t 5
 
6.8%
i 5
 
6.8%
P 4
 
5.4%
D 4
 
5.4%
w 3
 
4.1%
R 3
 
4.1%
r 3
 
4.1%
Other values (19) 30
40.5%
Common
ValueCountFrequency (%)
594
80.2%
( 47
 
6.3%
) 47
 
6.3%
2 7
 
0.9%
! 7
 
0.9%
0 6
 
0.8%
4 5
 
0.7%
5 3
 
0.4%
. 3
 
0.4%
1 3
 
0.4%
Other values (11) 19
 
2.6%
Han
ValueCountFrequency (%)
全 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2606
76.2%
ASCII 809
 
23.6%
None 3
 
0.1%
Punctuation 3
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
73.4%
( 47
 
5.8%
) 47
 
5.8%
2 7
 
0.9%
! 7
 
0.9%
0 6
 
0.7%
n 6
 
0.7%
o 6
 
0.7%
A 5
 
0.6%
t 5
 
0.6%
Other values (37) 79
 
9.8%
Hangul
ValueCountFrequency (%)
정 97
 
3.7%
과 90
 
3.5%
이 63
 
2.4%
지 53
 
2.0%
의 52
 
2.0%
기 47
 
1.8%
해 44
 
1.7%
공 40
 
1.5%
는 39
 
1.5%
사 39
 
1.5%
Other values (344) 2042
78.4%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
‘ 1
33.3%
CJK
ValueCountFrequency (%)
全 1
100.0%

대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
전 직원
174 
전+공+출
19 
6급
 
4
자치경찰
 
4
자치경찰+관련부서
 
4
Other values (15)
19 

Length

Max length13
Median length4
Mean length4.2098214
Min length2

Unique

Unique12 ?
Unique (%)5.4%

Sample

1st row전 직원
2nd row공무원&도민
3rd row신규자
4th row전+공+출
5th row전+공+출

Common Values

ValueCountFrequency (%)
전 직원 174
77.7%
전+공+출 19
 
8.5%
6급 4
 
1.8%
자치경찰 4
 
1.8%
자치경찰+관련부서 4
 
1.8%
타+전+공+출 3
 
1.3%
전공출 2
 
0.9%
공무직 2
 
0.9%
공무원&도민 1
 
0.4%
신규자 1
 
0.4%
Other values (10) 10
 
4.5%

Length

2023-12-12T16:02:38.314538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
직원 175
43.9%
전 174
43.6%
전+공+출 19
 
4.8%
6급 4
 
1.0%
자치경찰 4
 
1.0%
자치경찰+관련부서 4
 
1.0%
타+전+공+출 3
 
0.8%
전공출 2
 
0.5%
공무직 2
 
0.5%
전직원 1
 
0.3%
Other values (11) 11
 
2.8%

횟수(회)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5178571
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T16:02:38.447835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median10
Q310
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.2857196
Coefficient of variation (CV)0.65753507
Kurtosis-1.797308
Mean6.5178571
Median Absolute Deviation (MAD)0
Skewness-0.39192507
Sum1460
Variance18.367393
MonotonicityNot monotonic
2023-12-12T16:02:38.581426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 127
56.7%
1 66
29.5%
2 15
 
6.7%
3 8
 
3.6%
12 4
 
1.8%
4 2
 
0.9%
5 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
1 66
29.5%
2 15
 
6.7%
3 8
 
3.6%
4 2
 
0.9%
5 1
 
0.4%
9 1
 
0.4%
10 127
56.7%
12 4
 
1.8%
ValueCountFrequency (%)
12 4
 
1.8%
10 127
56.7%
9 1
 
0.4%
5 1
 
0.4%
4 2
 
0.9%
3 8
 
3.6%
2 15
 
6.7%
1 66
29.5%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.165179
Minimum8
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T16:02:38.717318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q130
median80
Q380
95-th percentile80
Maximum500
Range492
Interquartile range (IQR)50

Descriptive statistics

Standard deviation46.435494
Coefficient of variation (CV)0.75918186
Kurtosis41.26574
Mean61.165179
Median Absolute Deviation (MAD)0
Skewness4.8626129
Sum13701
Variance2156.2551
MonotonicityNot monotonic
2023-12-12T16:02:38.854883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
80 127
56.7%
30 49
 
21.9%
20 21
 
9.4%
12 16
 
7.1%
500 1
 
0.4%
200 1
 
0.4%
100 1
 
0.4%
15 1
 
0.4%
40 1
 
0.4%
26 1
 
0.4%
Other values (5) 5
 
2.2%
ValueCountFrequency (%)
8 1
 
0.4%
10 1
 
0.4%
12 16
 
7.1%
15 1
 
0.4%
20 21
 
9.4%
26 1
 
0.4%
30 49
 
21.9%
40 1
 
0.4%
60 1
 
0.4%
80 127
56.7%
ValueCountFrequency (%)
500 1
 
0.4%
350 1
 
0.4%
200 1
 
0.4%
150 1
 
0.4%
100 1
 
0.4%
80 127
56.7%
60 1
 
0.4%
40 1
 
0.4%
30 49
 
21.9%
26 1
 
0.4%

계획인원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.32143
Minimum8
Maximum3200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T16:02:38.998924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q130
median80
Q380
95-th percentile88.5
Maximum3200
Range3192
Interquartile range (IQR)50

Descriptive statistics

Standard deviation295.61283
Coefficient of variation (CV)2.9175746
Kurtosis77.697893
Mean101.32143
Median Absolute Deviation (MAD)0
Skewness8.5485725
Sum22696
Variance87386.946
MonotonicityNot monotonic
2023-12-12T16:02:39.110467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
80 128
57.1%
30 34
 
15.2%
20 16
 
7.1%
12 13
 
5.8%
60 11
 
4.9%
40 5
 
2.2%
90 4
 
1.8%
36 2
 
0.9%
2500 1
 
0.4%
1800 1
 
0.4%
Other values (9) 9
 
4.0%
ValueCountFrequency (%)
8 1
 
0.4%
12 13
 
5.8%
20 16
 
7.1%
24 1
 
0.4%
26 1
 
0.4%
30 34
 
15.2%
36 2
 
0.9%
40 5
 
2.2%
60 11
 
4.9%
80 128
57.1%
ValueCountFrequency (%)
3200 1
 
0.4%
2500 1
 
0.4%
1800 1
 
0.4%
720 1
 
0.4%
600 1
 
0.4%
360 1
 
0.4%
300 1
 
0.4%
130 1
 
0.4%
90 4
 
1.8%
80 128
57.1%

교육일정
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2월~11월
127 
4월
 
10
7월
 
8
11월
 
8
5월
 
8
Other values (30)
63 

Length

Max length10
Median length6
Mean length4.8214286
Min length2

Unique

Unique21 ?
Unique (%)9.4%

Sample

1st row2월
2nd row4+7+9월
3rd row2+10+11월
4th row7월
5th row3월

Common Values

ValueCountFrequency (%)
2월~11월 127
56.7%
4월 10
 
4.5%
7월 8
 
3.6%
11월 8
 
3.6%
5월 8
 
3.6%
3월 7
 
3.1%
6월 7
 
3.1%
1~12월 6
 
2.7%
10월 6
 
2.7%
2월 5
 
2.2%
Other values (25) 32
 
14.3%

Length

2023-12-12T16:02:39.286164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2월~11월 127
56.7%
4월 10
 
4.5%
7월 8
 
3.6%
11월 8
 
3.6%
5월 8
 
3.6%
3월 7
 
3.1%
6월 7
 
3.1%
1~12월 6
 
2.7%
10월 6
 
2.7%
2월 5
 
2.2%
Other values (25) 32
 
14.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2023-05-08 00:00:00
Maximum2023-05-08 00:00:00
2023-12-12T16:02:39.432129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:39.571991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:02:35.935848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.297335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.627233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:36.042771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.395752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.729843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:36.161468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.513427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:02:35.823042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:02:39.658007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야별분야별 상세대상횟수(회)정원(명)계획인원(명)교육일정
분야별1.0000.9870.8860.8050.9320.8270.916
분야별 상세0.9871.0000.9230.9460.9340.8760.897
대상0.8860.9231.0000.6880.7430.2760.964
횟수(회)0.8050.9460.6881.0000.9080.8590.993
정원(명)0.9320.9340.7430.9081.0000.9880.949
계획인원(명)0.8270.8760.2760.8590.9881.0000.843
교육일정0.9160.8970.9640.9930.9490.8431.000
2023-12-12T16:02:39.790169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육일정분야별분야별 상세대상
교육일정1.0000.6490.4460.645
분야별0.6491.0000.9160.649
분야별 상세0.4460.9161.0000.447
대상0.6450.6490.4471.000
2023-12-12T16:02:39.914270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
횟수(회)정원(명)계획인원(명)분야별분야별 상세대상교육일정
횟수(회)1.0000.8380.8840.6400.7630.3700.820
정원(명)0.8381.0000.8510.6230.7510.4460.726
계획인원(명)0.8840.8511.0000.4400.6310.1260.524
분야별0.6400.6230.4401.0000.9160.6490.649
분야별 상세0.7630.7510.6310.9161.0000.4470.446
대상0.3700.4460.1260.6490.4471.0000.645
교육일정0.8200.7260.5240.6490.4460.6451.000

Missing values

2023-12-12T16:02:36.313129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:02:36.482855image/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

분야별분야별 상세과정명대상횟수(회)정원(명)계획인원(명)교육일정데이터기준일자
0기반가치교육특별교육도정현안 공유 청렴 특별교육전 직원550025002월2023-05-08
1기반가치교육특별교육공직자와 도민이 함께하는 열린강좌공무원&도민32006004+7+9월2023-05-08
2기반가치교육기본교육신규 임용자 과정신규자31003002+10+11월2023-05-08
3기반가치교육역점시책분야4차 산업 혁명과 빅데이터 이해 과정전+공+출130307월2023-05-08
4기반가치교육역점시책분야생애주기별 사회복지 이해 과정전+공+출130303월2023-05-08
5기반가치교육역점시책분야인권이해하기 및 국민권익 신장과정전+공+출230605+10월2023-05-08
6기반가치교육역점시책분야제주 경제의 이해전+공+출130304월2023-05-08
7기반가치교육역점시책분야제주 환경가치 이해와 보전 과정전 직원130304월2023-05-08
8기반가치교육역점시책분야제주특별법 및 자치분권 이해 과정전+공+출330903+6+11월2023-05-08
9기반가치교육역점시책분야지속가능 차세대 에너지 이해 과정전+공+출130304월2023-05-08
분야별분야별 상세과정명대상횟수(회)정원(명)계획인원(명)교육일정데이터기준일자
214이러닝교육생활건강양성평등과 성인지 감수성전 직원1080802월~11월2023-05-08
215이러닝교육생활건강은퇴 설계의 필요성전 직원1080802월~11월2023-05-08
216이러닝교육생활건강코로나블루전 직원1080802월~11월2023-05-08
217이러닝교육생활건강한국인의 행복한 마음 찾기전 직원1080802월~11월2023-05-08
218이러닝교육생활건강행복한 리더를 위한 스트레스 다스리기전 직원1080802월~11월2023-05-08
219이러닝교육외국어영어전 직원1215018001~12월2023-05-08
220이러닝교육외국어중국어전 직원12607201~12월2023-05-08
221이러닝교육외국어일본어전 직원12303601~12월2023-05-08
222이러닝교육외국어기타 외국어전 직원12101301~12월2023-05-08
223독서통신교육독서통신독서통신전 직원935032003~11월2023-05-08