Overview

Dataset statistics

Number of variables10
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory86.3 B

Variable types

Text2
DateTime2
Categorical3
Numeric3

Dataset

Description전라남도 무안군에서 운영하는 정보화교육으로 과정명, 교육시작일, 교육종료일, 교육시작시간, 교육종료시간, 회당 교육시간, 회차, 총교육시간, 교육내용, 교육장소 등을 표시하고 있습니다.
Author전라남도 무안군
URLhttps://www.data.go.kr/data/15062018/fileData.do

Alerts

회당 교육시간 is highly overall correlated with 회차 and 1 other fieldsHigh correlation
회차 is highly overall correlated with 회당 교육시간 and 1 other fieldsHigh correlation
총 교육 시간 is highly overall correlated with 회차High correlation
교육시작시간 is highly overall correlated with 회당 교육시간 and 1 other fieldsHigh correlation
교육종료시간 is highly overall correlated with 교육시작시간 and 1 other fieldsHigh correlation
교육장소 is highly overall correlated with 교육종료시간High correlation

Reproduction

Analysis started2024-04-29 22:37:37.878104
Analysis finished2024-04-29 22:37:41.428857
Duration3.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과정명
Text

Distinct26
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-30T07:37:41.570234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.175
Min length5

Characters and Unicode

Total characters447
Distinct characters109
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)42.5%

Sample

1st row컴퓨터기초(초급~인터넷)
2nd row한글 2010 기초
3rd row디지털 영상편집
4th rowITQ 한글 2010 자격증
5th row생활 속 스마트폰 활용
ValueCountFrequency (%)
2010 9
 
8.3%
기초 9
 
8.3%
활용 8
 
7.4%
한글 6
 
5.6%
컴퓨터 5
 
4.6%
스마트폰 5
 
4.6%
itq 4
 
3.7%
정보화교육 4
 
3.7%
자격증 4
 
3.7%
엑셀 3
 
2.8%
Other values (34) 51
47.2%
2024-04-30T07:37:41.934400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
15.2%
0 19
 
4.3%
기 15
 
3.4%
초 15
 
3.4%
활 14
 
3.1%
스 11
 
2.5%
터 11
 
2.5%
용 11
 
2.5%
트 10
 
2.2%
1 10
 
2.2%
Other values (99) 263
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
66.7%
Space Separator 68
 
15.2%
Decimal Number 39
 
8.7%
Uppercase Letter 24
 
5.4%
Other Punctuation 6
 
1.3%
Open Punctuation 3
 
0.7%
Math Symbol 3
 
0.7%
Close Punctuation 3
 
0.7%
Lowercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 15
 
5.0%
초 15
 
5.0%
활 14
 
4.7%
스 11
 
3.7%
터 11
 
3.7%
용 11
 
3.7%
트 10
 
3.4%
마 8
 
2.7%
폰 8
 
2.7%
퓨 8
 
2.7%
Other values (81) 187
62.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
25.0%
T 5
20.8%
I 5
20.8%
Q 4
16.7%
N 3
12.5%
D 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 19
48.7%
1 10
25.6%
2 9
23.1%
3 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
w 1
33.3%
i 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
66.7%
Common 122
27.3%
Latin 27
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 15
 
5.0%
초 15
 
5.0%
활 14
 
4.7%
스 11
 
3.7%
터 11
 
3.7%
용 11
 
3.7%
트 10
 
3.4%
마 8
 
2.7%
폰 8
 
2.7%
퓨 8
 
2.7%
Other values (81) 187
62.8%
Common
ValueCountFrequency (%)
68
55.7%
0 19
 
15.6%
1 10
 
8.2%
2 9
 
7.4%
& 6
 
4.9%
( 3
 
2.5%
~ 3
 
2.5%
) 3
 
2.5%
3 1
 
0.8%
Latin
ValueCountFrequency (%)
S 6
22.2%
T 5
18.5%
I 5
18.5%
Q 4
14.8%
N 3
11.1%
D 1
 
3.7%
w 1
 
3.7%
i 1
 
3.7%
n 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
66.7%
ASCII 149
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
45.6%
0 19
 
12.8%
1 10
 
6.7%
2 9
 
6.0%
S 6
 
4.0%
& 6
 
4.0%
T 5
 
3.4%
I 5
 
3.4%
Q 4
 
2.7%
( 3
 
2.0%
Other values (8) 14
 
9.4%
Hangul
ValueCountFrequency (%)
기 15
 
5.0%
초 15
 
5.0%
활 14
 
4.7%
스 11
 
3.7%
터 11
 
3.7%
용 11
 
3.7%
트 10
 
3.4%
마 8
 
2.7%
폰 8
 
2.7%
퓨 8
 
2.7%
Other values (81) 187
62.8%

교육시작일
Date

Distinct31
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-01-07 00:00:00
Maximum2023-11-20 00:00:00
2024-04-30T07:37:42.106346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:42.256207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

교육종료일
Date

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2019-01-25 00:00:00
Maximum2030-12-31 00:00:00
2024-04-30T07:37:42.444395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:42.584973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

교육시작시간
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
10:00
29 
09:30
7 
14:00
 
2
00:00
 
1
13:00
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row10:00
2nd row09:30
3rd row14:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 29
72.5%
09:30 7
 
17.5%
14:00 2
 
5.0%
00:00 1
 
2.5%
13:00 1
 
2.5%

Length

2024-04-30T07:37:42.712413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:37:42.821779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 29
72.5%
09:30 7
 
17.5%
14:00 2
 
5.0%
00:00 1
 
2.5%
13:00 1
 
2.5%

교육종료시간
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
12:00
26 
12:30
5 
16:00
3 
11:30
 
1
13:30
 
1
Other values (4)
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)15.0%

Sample

1st row12:00
2nd row12:30
3rd row16:00
4th row12:00
5th row12:00

Common Values

ValueCountFrequency (%)
12:00 26
65.0%
12:30 5
 
12.5%
16:00 3
 
7.5%
11:30 1
 
2.5%
13:30 1
 
2.5%
14:00 1
 
2.5%
13:00 1
 
2.5%
00:00 1
 
2.5%
17:00 1
 
2.5%

Length

2024-04-30T07:37:42.926687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:37:43.059239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12:00 26
65.0%
12:30 5
 
12.5%
16:00 3
 
7.5%
11:30 1
 
2.5%
13:30 1
 
2.5%
14:00 1
 
2.5%
13:00 1
 
2.5%
00:00 1
 
2.5%
17:00 1
 
2.5%

회당 교육시간
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum2
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-30T07:37:43.166787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q33
95-th percentile10.1
Maximum32
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.1847904
Coefficient of variation (CV)1.3644185
Kurtosis23.262493
Mean3.8
Median Absolute Deviation (MAD)0
Skewness4.5250963
Sum152
Variance26.882051
MonotonicityNot monotonic
2024-04-30T07:37:43.261266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 27
67.5%
3 6
 
15.0%
4 2
 
5.0%
10 2
 
5.0%
32 1
 
2.5%
12 1
 
2.5%
8 1
 
2.5%
ValueCountFrequency (%)
2 27
67.5%
3 6
 
15.0%
4 2
 
5.0%
8 1
 
2.5%
10 2
 
5.0%
12 1
 
2.5%
32 1
 
2.5%
ValueCountFrequency (%)
32 1
 
2.5%
12 1
 
2.5%
10 2
 
5.0%
8 1
 
2.5%
4 2
 
5.0%
3 6
 
15.0%
2 27
67.5%

회차
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.975
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-30T07:37:43.357416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q315
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.5307416
Coefficient of variation (CV)0.55446031
Kurtosis-0.62861063
Mean9.975
Median Absolute Deviation (MAD)3
Skewness0.63439508
Sum399
Variance30.589103
MonotonicityNot monotonic
2024-04-30T07:37:43.461720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 7
17.5%
20 6
15.0%
15 5
12.5%
10 4
10.0%
9 4
10.0%
8 3
7.5%
3 3
7.5%
12 2
 
5.0%
5 2
 
5.0%
7 2
 
5.0%
Other values (2) 2
 
5.0%
ValueCountFrequency (%)
1 1
 
2.5%
3 3
7.5%
4 1
 
2.5%
5 2
 
5.0%
6 7
17.5%
7 2
 
5.0%
8 3
7.5%
9 4
10.0%
10 4
10.0%
12 2
 
5.0%
ValueCountFrequency (%)
20 6
15.0%
15 5
12.5%
12 2
 
5.0%
10 4
10.0%
9 4
10.0%
8 3
7.5%
7 2
 
5.0%
6 7
17.5%
5 2
 
5.0%
4 1
 
2.5%

총 교육 시간
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.875
Minimum8
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-30T07:37:43.575471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q118
median24
Q330.5
95-th percentile41
Maximum60
Range52
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation12.370742
Coefficient of variation (CV)0.47809631
Kurtosis1.0283595
Mean25.875
Median Absolute Deviation (MAD)6
Skewness1.0059829
Sum1035
Variance153.03526
MonotonicityNot monotonic
2024-04-30T07:37:43.696884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
18 7
17.5%
30 7
17.5%
40 6
15.0%
24 4
10.0%
16 3
7.5%
20 2
 
5.0%
10 2
 
5.0%
12 2
 
5.0%
60 2
 
5.0%
8 1
 
2.5%
Other values (4) 4
10.0%
ValueCountFrequency (%)
8 1
 
2.5%
10 2
 
5.0%
12 2
 
5.0%
14 1
 
2.5%
16 3
7.5%
18 7
17.5%
20 2
 
5.0%
21 1
 
2.5%
24 4
10.0%
30 7
17.5%
ValueCountFrequency (%)
60 2
 
5.0%
40 6
15.0%
36 1
 
2.5%
32 1
 
2.5%
30 7
17.5%
24 4
10.0%
21 1
 
2.5%
20 2
 
5.0%
18 7
17.5%
16 3
7.5%

교 육 내 용
Text

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-30T07:37:43.901716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length27
Mean length19.825
Min length10

Characters and Unicode

Total characters793
Distinct characters126
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)35.0%

Sample

1st row윈도우 기본 사용법 및 인터넷 활용
2nd row한글 2010 기초 능력 숙달
3rd row다양한 이미지 및 영상 편집하고 활용
4th rowITQ 한글 2010 시험대비
5th row실생활에 유용한 스마트폰 활용법을 익힘
ValueCountFrequency (%)
및 20
 
9.2%
활용 13
 
6.0%
2010 9
 
4.1%
사용법 9
 
4.1%
실생활에 9
 
4.1%
기본 9
 
4.1%
윈도우 8
 
3.7%
인터넷 8
 
3.7%
유용한 7
 
3.2%
스마트폰 7
 
3.2%
Other values (61) 118
54.4%
2024-04-30T07:37:44.256057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
22.3%
용 42
 
5.3%
활 35
 
4.4%
및 20
 
2.5%
0 19
 
2.4%
기 18
 
2.3%
법 16
 
2.0%
한 15
 
1.9%
스 12
 
1.5%
에 12
 
1.5%
Other values (116) 427
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
69.4%
Space Separator 177
 
22.3%
Decimal Number 40
 
5.0%
Uppercase Letter 26
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 42
 
7.6%
활 35
 
6.4%
및 20
 
3.6%
기 18
 
3.3%
법 16
 
2.9%
한 15
 
2.7%
스 12
 
2.2%
에 12
 
2.2%
인 11
 
2.0%
사 11
 
2.0%
Other values (105) 358
65.1%
Uppercase Letter
ValueCountFrequency (%)
S 8
30.8%
N 4
15.4%
I 4
15.4%
T 4
15.4%
Q 4
15.4%
D 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 19
47.5%
1 10
25.0%
2 9
22.5%
3 2
 
5.0%
Space Separator
ValueCountFrequency (%)
177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
69.4%
Common 217
 
27.4%
Latin 26
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 42
 
7.6%
활 35
 
6.4%
및 20
 
3.6%
기 18
 
3.3%
법 16
 
2.9%
한 15
 
2.7%
스 12
 
2.2%
에 12
 
2.2%
인 11
 
2.0%
사 11
 
2.0%
Other values (105) 358
65.1%
Latin
ValueCountFrequency (%)
S 8
30.8%
N 4
15.4%
I 4
15.4%
T 4
15.4%
Q 4
15.4%
D 2
 
7.7%
Common
ValueCountFrequency (%)
177
81.6%
0 19
 
8.8%
1 10
 
4.6%
2 9
 
4.1%
3 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
69.4%
ASCII 243
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
72.8%
0 19
 
7.8%
1 10
 
4.1%
2 9
 
3.7%
S 8
 
3.3%
N 4
 
1.6%
I 4
 
1.6%
T 4
 
1.6%
Q 4
 
1.6%
D 2
 
0.8%
Hangul
ValueCountFrequency (%)
용 42
 
7.6%
활 35
 
6.4%
및 20
 
3.6%
기 18
 
3.3%
법 16
 
2.9%
한 15
 
2.7%
스 12
 
2.2%
에 12
 
2.2%
인 11
 
2.0%
사 11
 
2.0%
Other values (105) 358
65.1%

교육장소
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
무안군청 전산교육장
21 
남악복합주민센터 전산교육장
16 
대한노인회 망운분회 등 5개소
 
1
무안군청 전산교육장, 남악복합주민센터 전산교육장
 
1
온라인
 
1

Length

Max length26
Median length10
Mean length12
Min length4

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row무안군청 전산교육장
2nd row무안군청 전산교육장
3rd row무안군청 전산교육장
4th row무안군청 전산교육장
5th row무안군청 전산교육장

Common Values

ValueCountFrequency (%)
무안군청 전산교육장 21
52.5%
남악복합주민센터 전산교육장 16
40.0%
대한노인회 망운분회 등 5개소 1
 
2.5%
무안군청 전산교육장, 남악복합주민센터 전산교육장 1
 
2.5%
온라인 1
 
2.5%

Length

2024-04-30T07:37:44.403012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:37:44.509708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전산교육장 39
47.0%
무안군청 22
26.5%
남악복합주민센터 17
20.5%
대한노인회 1
 
1.2%
망운분회 1
 
1.2%
등 1
 
1.2%
5개소 1
 
1.2%
온라인 1
 
1.2%

Interactions

2024-04-30T07:37:40.683240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.039118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.319028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.800701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.166513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.410108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.967819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.250101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:37:40.540462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:37:44.597520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과정명교육시작일교육종료일교육시작시간교육종료시간회당 교육시간회차총 교육 시간교 육 내 용교육장소
과정명1.0000.6990.8900.6190.9461.0000.8850.9251.0000.946
교육시작일0.6991.0000.9970.3890.9520.5720.9750.7900.7350.947
교육종료일0.8900.9971.0000.9080.9860.0000.9900.8570.9360.955
교육시작시간0.6190.3890.9081.0000.9680.6860.6730.0000.7850.851
교육종료시간0.9460.9520.9860.9681.0000.7430.5630.3610.9560.826
회당 교육시간1.0000.5720.0000.6860.7431.0000.9270.8840.6660.616
회차0.8850.9750.9900.6730.5630.9271.0000.8890.8060.638
총 교육 시간0.9250.7900.8570.0000.3610.8840.8891.0000.6190.000
교 육 내 용1.0000.7350.9360.7850.9560.6660.8060.6191.0000.744
교육장소0.9460.9470.9550.8510.8260.6160.6380.0000.7441.000
2024-04-30T07:37:44.721738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육종료시간교육장소교육시작시간
교육종료시간1.0000.6240.887
교육장소0.6241.0000.486
교육시작시간0.8870.4861.000
2024-04-30T07:37:44.818366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회당 교육시간회차총 교육 시간교육시작시간교육종료시간교육장소
회당 교육시간1.000-0.5110.3500.5530.4870.438
회차-0.5111.0000.5340.4720.3040.436
총 교육 시간0.3500.5341.0000.0000.1660.000
교육시작시간0.5530.4720.0001.0000.8870.486
교육종료시간0.4870.3040.1660.8871.0000.624
교육장소0.4380.4360.0000.4860.6241.000

Missing values

2024-04-30T07:37:41.208338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:37:41.363467image/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

과정명교육시작일교육종료일교육시작시간교육종료시간회당 교육시간회차총 교육 시간교 육 내 용교육장소
0컴퓨터기초(초급~인터넷)2019-02-112019-02-2710:0012:002816윈도우 기본 사용법 및 인터넷 활용무안군청 전산교육장
1한글 2010 기초2019-03-042019-03-1509:3012:303618한글 2010 기초 능력 숙달무안군청 전산교육장
2디지털 영상편집2019-03-042019-03-2514:0016:0021020다양한 이미지 및 영상 편집하고 활용무안군청 전산교육장
3ITQ 한글 2010 자격증2019-03-182019-04-1210:0012:0021224ITQ 한글 2010 시험대비무안군청 전산교육장
4생활 속 스마트폰 활용2019-09-022019-09-0610:0012:002510실생활에 유용한 스마트폰 활용법을 익힘무안군청 전산교육장
5win10 컴퓨터 기초2019-09-232019-10-0410:0012:002918윈도우10 기본 사용법 및 활용 교육무안군청 전산교육장
6한글 2010 기초2019-10-142019-11-0110:0012:002918한글 2010 기초 능력 숙달무안군청 전산교육장
7자신만의 블로그&카페 만들기2019-11-112019-11-2910:0012:002918블로그 및 카페를 운영하여 실생활에 활용무안군청 전산교육장
8컴퓨터기초(초급~인터넷)2019-11-192019-11-2810:0012:00248윈도우 기본 사용법 및 인터넷 활용무안군청 전산교육장
9생활 속 스마트폰 활용2019-12-022019-12-1310:0012:0021020실생활에 유용한 스마트폰 활용법을 익힘무안군청 전산교육장
과정명교육시작일교육종료일교육시작시간교육종료시간회당 교육시간회차총 교육 시간교 육 내 용교육장소
30컴퓨터 기초2022-09-192022-11-1810:0012:0012336윈도우 기본 사용법 및 인터넷 활용무안군청 전산교육장
31스마트폰 활용2022-09-192022-11-1810:0012:008324실생활에 유용한 스마트폰 활용법을 익힘무안군청 전산교육장
32컴퓨터 활용2023-05-152023-06-0910:0012:0022040윈도우 기본 사용법 및 인터넷 활용무안군청 전산교육장
33스마트폰&SNS활용2023-06-122023-06-3010:0012:0021530실생활에 유용한 스마트폰 활용법 및 SNS활용교육무안군청 전산교육장
34컴퓨터 활용2023-07-032023-07-2810:0012:0022040윈도우 기본 사용법 및 인터넷 활용남악복합주민센터 전산교육장
35한글 기초2023-07-312023-08-2510:0012:0022040한글 기초 능력 숙달무안군청 전산교육장
36엑셀 기초2023-08-282023-09-2210:0012:0022040엑셀 기초 능력 숙달무안군청 전산교육장
37컴퓨터 활용2023-10-022023-10-2710:0012:0022040윈도우 기본 사용법 및 인터넷 활용무안군청 전산교육장
38스마트폰&SNS활용2023-10-302023-11-1710:0012:0021530실생활에 유용한 스마트폰 활용법 및 SNS활용교육남악복합주민센터 전산교육장
39스마트폰&SNS활용2023-11-202023-12-0810:0012:0021530실생활에 유용한 스마트폰 활용법 및 SNS활용교육무안군청 전산교육장