Overview

Dataset statistics

Number of variables15
Number of observations143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory123.9 B

Variable types

Text1
DateTime2
Categorical11
Numeric1

Dataset

Description부산광역시 서구 구민 정보화교육에 대한 정보로 교육과정, 교육일정, 교육장소, 교육대상, 교육인원 등의 항목을 제공합니다.
Author부산광역시 서구
URLhttps://www.data.go.kr/data/15035236/fileData.do

Alerts

교육장소 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
지번주소 has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
교육종료시간 is highly overall correlated with 교육시작시간 and 1 other fieldsHigh correlation
교육시작시간 is highly overall correlated with 교육종료시간 and 1 other fieldsHigh correlation
교육인원 is highly overall correlated with 교육방법High correlation
교육방법 is highly overall correlated with 교육인원 and 2 other fieldsHigh correlation
대상 is highly imbalanced (58.3%)Imbalance

Reproduction

Analysis started2023-12-12 23:06:26.134379
Analysis finished2023-12-12 23:06:27.471457
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct77
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T08:06:27.655192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length35
Mean length21.699301
Min length8

Characters and Unicode

Total characters3103
Distinct characters218
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

Unique50 ?
Unique (%)35.0%

Sample

1st row어르신들을 위한 스마트폰 활용
2nd row[지역특화]컴퓨터 기초(윈도우 10)
3rd row어르신들을 위한 스마트폰 활용
4th row앱으로 소통하기_카카오톡과 카카오스토리 기초
5th row스마트폰 콘텐츠 관리
ValueCountFrequency (%)
n]나도 35
 
6.2%
스프레드시트 16
 
2.8%
전문가(기초 14
 
2.5%
활용 14
 
2.5%
프레젠테이션 12
 
2.1%
12
 
2.1%
전문가 11
 
1.9%
키오스크 10
 
1.8%
생활과 10
 
1.8%
앱활용 10
 
1.8%
Other values (177) 422
74.6%
2023-12-13T08:06:28.055166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
 
13.9%
[ 130
 
4.2%
] 130
 
4.2%
81
 
2.6%
N 79
 
2.5%
77
 
2.5%
64
 
2.1%
63
 
2.0%
52
 
1.7%
51
 
1.6%
Other values (208) 1946
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2098
67.6%
Space Separator 430
 
13.9%
Open Punctuation 172
 
5.5%
Close Punctuation 172
 
5.5%
Uppercase Letter 155
 
5.0%
Decimal Number 31
 
1.0%
Dash Punctuation 19
 
0.6%
Connector Punctuation 14
 
0.5%
Other Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
3.9%
77
 
3.7%
64
 
3.1%
63
 
3.0%
52
 
2.5%
51
 
2.4%
50
 
2.4%
44
 
2.1%
43
 
2.0%
43
 
2.0%
Other values (186) 1530
72.9%
Uppercase Letter
ValueCountFrequency (%)
N 79
51.0%
T 22
 
14.2%
I 22
 
14.2%
Q 12
 
7.7%
D 8
 
5.2%
P 6
 
3.9%
X 3
 
1.9%
E 3
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 15
48.4%
2 12
38.7%
3 3
 
9.7%
0 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
& 3
 
25.0%
! 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
[ 130
75.6%
( 42
 
24.4%
Close Punctuation
ValueCountFrequency (%)
] 130
75.6%
) 42
 
24.4%
Space Separator
ValueCountFrequency (%)
430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2098
67.6%
Common 850
27.4%
Latin 155
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
3.9%
77
 
3.7%
64
 
3.1%
63
 
3.0%
52
 
2.5%
51
 
2.4%
50
 
2.4%
44
 
2.1%
43
 
2.0%
43
 
2.0%
Other values (186) 1530
72.9%
Common
ValueCountFrequency (%)
430
50.6%
[ 130
 
15.3%
] 130
 
15.3%
( 42
 
4.9%
) 42
 
4.9%
- 19
 
2.2%
1 15
 
1.8%
_ 14
 
1.6%
2 12
 
1.4%
, 8
 
0.9%
Other values (4) 8
 
0.9%
Latin
ValueCountFrequency (%)
N 79
51.0%
T 22
 
14.2%
I 22
 
14.2%
Q 12
 
7.7%
D 8
 
5.2%
P 6
 
3.9%
X 3
 
1.9%
E 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2098
67.6%
ASCII 1005
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
42.8%
[ 130
 
12.9%
] 130
 
12.9%
N 79
 
7.9%
( 42
 
4.2%
) 42
 
4.2%
T 22
 
2.2%
I 22
 
2.2%
- 19
 
1.9%
1 15
 
1.5%
Other values (12) 74
 
7.4%
Hangul
ValueCountFrequency (%)
81
 
3.9%
77
 
3.7%
64
 
3.1%
63
 
3.0%
52
 
2.5%
51
 
2.4%
50
 
2.4%
44
 
2.1%
43
 
2.0%
43
 
2.0%
Other values (186) 1530
72.9%
Distinct80
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-04-10 00:00:00
Maximum2023-10-30 00:00:00
2023-12-13T08:06:28.178185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:28.296212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct85
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-04-11 00:00:00
Maximum2023-10-31 00:00:00
2023-12-13T08:06:28.415405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:06:28.552436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작시간
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
09:00
52 
13:30
47 
09:30
10 
14:00
14:30
Other values (4)
18 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12:00
2nd row09:00
3rd row14:30
4th row14:30
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 52
36.4%
13:30 47
32.9%
09:30 10
 
7.0%
14:00 9
 
6.3%
14:30 7
 
4.9%
12:00 6
 
4.2%
08:30 4
 
2.8%
10:00 4
 
2.8%
08:00 4
 
2.8%

Length

2023-12-13T08:06:28.686620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:28.818499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 52
36.4%
13:30 47
32.9%
09:30 10
 
7.0%
14:00 9
 
6.3%
14:30 7
 
4.9%
12:00 6
 
4.2%
08:30 4
 
2.8%
10:00 4
 
2.8%
08:00 4
 
2.8%

교육종료시간
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
17:00
50 
12:30
40 
11:30
11 
17:30
18:00
Other values (8)
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row14:30
2nd row11:30
3rd row18:00
4th row18:00
5th row11:30

Common Values

ValueCountFrequency (%)
17:00 50
35.0%
12:30 40
28.0%
11:30 11
 
7.7%
17:30 9
 
6.3%
18:00 7
 
4.9%
14:30 6
 
4.2%
10:30 6
 
4.2%
12:00 4
 
2.8%
13:00 4
 
2.8%
10:00 3
 
2.1%
Other values (3) 3
 
2.1%

Length

2023-12-13T08:06:28.947106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17:00 50
35.0%
12:30 40
28.0%
11:30 11
 
7.7%
17:30 9
 
6.3%
18:00 7
 
4.9%
14:30 6
 
4.2%
10:30 6
 
4.2%
12:00 4
 
2.8%
13:00 4
 
2.8%
10:00 3
 
2.1%
Other values (3) 3
 
2.1%

교육장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
서구청 전산교육장
143 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구청 전산교육장 143
100.0%

Length

2023-12-13T08:06:29.060643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:29.157242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구청 143
50.0%
전산교육장 143
50.0%

교육방법
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
집합
127 
온라인
16 

Length

Max length3
Median length2
Mean length2.1118881
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집합 127
88.8%
온라인 16
 
11.2%

Length

2023-12-13T08:06:29.255129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:29.348353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집합 127
88.8%
온라인 16
 
11.2%

교육인원
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.188811
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T08:06:29.447305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16.5
median14
Q317
95-th percentile21.9
Maximum26
Range25
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.5799001
Coefficient of variation (CV)0.53983116
Kurtosis-0.95337222
Mean12.188811
Median Absolute Deviation (MAD)4
Skewness-0.22399235
Sum1743
Variance43.295085
MonotonicityNot monotonic
2023-12-13T08:06:29.589519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14 12
 
8.4%
3 11
 
7.7%
17 11
 
7.7%
1 11
 
7.7%
16 10
 
7.0%
13 9
 
6.3%
18 8
 
5.6%
15 8
 
5.6%
10 7
 
4.9%
4 6
 
4.2%
Other values (15) 50
35.0%
ValueCountFrequency (%)
1 11
7.7%
2 2
 
1.4%
3 11
7.7%
4 6
4.2%
5 4
 
2.8%
6 2
 
1.4%
7 2
 
1.4%
8 3
 
2.1%
9 6
4.2%
10 7
4.9%
ValueCountFrequency (%)
26 2
 
1.4%
24 1
 
0.7%
23 1
 
0.7%
22 4
 
2.8%
21 6
4.2%
20 4
 
2.8%
19 5
3.5%
18 8
5.6%
17 11
7.7%
16 10
7.0%
Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기초
96 
생활
44 
특별
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기초 96
67.1%
생활 44
30.8%
특별 3
 
2.1%

Length

2023-12-13T08:06:29.734595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:29.865884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초 96
67.1%
생활 44
30.8%
특별 3
 
2.1%

대상
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
공통
125 
고령층
 
12
중장년층
 
6

Length

Max length4
Median length2
Mean length2.1678322
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고령층
2nd row공통
3rd row고령층
4th row공통
5th row공통

Common Values

ValueCountFrequency (%)
공통 125
87.4%
고령층 12
 
8.4%
중장년층 6
 
4.2%

Length

2023-12-13T08:06:30.011603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:30.124464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공통 125
87.4%
고령층 12
 
8.4%
중장년층 6
 
4.2%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1800-0096
143 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1800-0096
2nd row1800-0096
3rd row1800-0096
4th row1800-0096
5th row1800-0096

Common Values

ValueCountFrequency (%)
1800-0096 143
100.0%

Length

2023-12-13T08:06:30.238758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:30.340250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1800-0096 143
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-10-31
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-31
2nd row2023-10-31
3rd row2023-10-31
4th row2023-10-31
5th row2023-10-31

Common Values

ValueCountFrequency (%)
2023-10-31 143
100.0%

Length

2023-12-13T08:06:30.479971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:30.587550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-31 143
100.0%

지번주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
부산광역시 서구 토성동4가 2-3
143 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 서구 토성동4가 2-3
2nd row부산광역시 서구 토성동4가 2-3
3rd row부산광역시 서구 토성동4가 2-3
4th row부산광역시 서구 토성동4가 2-3
5th row부산광역시 서구 토성동4가 2-3

Common Values

ValueCountFrequency (%)
부산광역시 서구 토성동4가 2-3 143
100.0%

Length

2023-12-13T08:06:30.688978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:30.808433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 143
25.0%
서구 143
25.0%
토성동4가 143
25.0%
2-3 143
25.0%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
35.09753855
143 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.09753855
2nd row35.09753855
3rd row35.09753855
4th row35.09753855
5th row35.09753855

Common Values

ValueCountFrequency (%)
35.09753855 143
100.0%

Length

2023-12-13T08:06:30.905621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:31.008342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.09753855 143
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
129.023424
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row129.023424
2nd row129.023424
3rd row129.023424
4th row129.023424
5th row129.023424

Common Values

ValueCountFrequency (%)
129.023424 143
100.0%

Length

2023-12-13T08:06:31.128069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:06:31.236568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
129.023424 143
100.0%

Interactions

2023-12-13T08:06:27.089146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:06:31.306563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육과정교육시작일교육종료일교육시작시간교육종료시간교육방법교육인원교육과정설명대상
교육과정1.0000.0000.0000.8480.9130.8220.6101.0000.946
교육시작일0.0001.0000.9930.0000.0000.0000.6660.2660.000
교육종료일0.0000.9931.0000.0000.0000.0000.7410.8260.000
교육시작시간0.8480.0000.0001.0000.9770.8000.7100.3000.446
교육종료시간0.9130.0000.0000.9771.0000.8630.7350.3470.383
교육방법0.8220.0000.0000.8000.8631.0000.8800.0000.039
교육인원0.6100.6660.7410.7100.7350.8801.0000.0440.386
교육과정설명1.0000.2660.8260.3000.3470.0000.0441.0000.000
대상0.9460.0000.0000.4460.3830.0390.3860.0001.000
2023-12-13T08:06:31.418757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육종료시간교육방법교육과정설명대상교육시작시간
교육종료시간1.0000.8120.2000.2250.900
교육방법0.8121.0000.0000.0640.802
교육과정설명0.2000.0001.0000.0000.134
대상0.2250.0640.0001.0000.214
교육시작시간0.9000.8020.1340.2141.000
2023-12-13T08:06:31.528026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육인원교육시작시간교육종료시간교육방법교육과정설명대상
교육인원1.0000.4080.4080.6930.0000.256
교육시작시간0.4081.0000.9000.8020.1340.214
교육종료시간0.4080.9001.0000.8120.2000.225
교육방법0.6930.8020.8121.0000.0000.064
교육과정설명0.0000.1340.2000.0001.0000.000
대상0.2560.2140.2250.0640.0001.000

Missing values

2023-12-13T08:06:27.211286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:06:27.390900image/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

교육과정교육시작일교육종료일교육시작시간교육종료시간교육장소교육방법교육인원교육과정설명대상전화번호데이터기준일자지번주소위도경도
0어르신들을 위한 스마트폰 활용2023-04-102023-04-1212:0014:30서구청 전산교육장집합4기초고령층1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
1[지역특화]컴퓨터 기초(윈도우 10)2023-04-102023-04-1209:0011:30서구청 전산교육장집합3기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
2어르신들을 위한 스마트폰 활용2023-04-102023-04-1114:3018:00서구청 전산교육장집합10기초고령층1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
3앱으로 소통하기_카카오톡과 카카오스토리 기초2023-04-122023-04-1314:3018:00서구청 전산교육장집합9기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
4스마트폰 콘텐츠 관리2023-04-132023-04-1409:0011:30서구청 전산교육장집합3기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
5[N]컴퓨터와 친해지기2023-04-132023-04-1412:0014:30서구청 전산교육장집합4기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
6어르신들을 위한 스마트폰 활용(교통생활, 지도앱)2023-04-142023-04-1414:3018:00서구청 전산교육장집합3기초고령층1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
7[지역특화]앱으로 소통하기_카카오톡과 카카오스토리 기초2023-04-172023-04-1909:0011:30서구청 전산교육장집합4기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
8[지역특화]스마트한 키오스크 생활과 앱활용2023-04-172023-04-1912:0014:30서구청 전산교육장집합5생활공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
9[지역특화]편리한 교통 생활(열차, 고속버스, 항공, 카카오택시)2023-04-172023-04-1814:3018:00서구청 전산교육장집합9생활공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
교육과정교육시작일교육종료일교육시작시간교육종료시간교육장소교육방법교육인원교육과정설명대상전화번호데이터기준일자지번주소위도경도
133[지역특화]어르신들을 위한 스마트폰 활용2023-10-172023-10-1813:3017:00서구청 전산교육장집합18기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
134스마트폰으로 모바일 전자고지 확인하기2023-10-162023-10-1613:3017:00서구청 전산교육장집합17생활공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
135[N]나도 이제 사진작가2023-10-162023-10-2009:0012:30서구청 전산교육장집합12기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
136왕초보 컴퓨터 배우기2023-10-122023-10-1313:3017:00서구청 전산교육장집합19기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
137[지역특화]실무 자격증 ITQ파워포인트2023-10-122023-10-1309:0012:30서구청 전산교육장집합10기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
138왕초보 컴퓨터 배우기2023-10-102023-10-1113:3017:00서구청 전산교육장집합18기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
139[N]나도 스프레드시트 전문가(기초)2023-10-102023-10-1108:3010:30서구청 전산교육장온라인1기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
140[N]나도 문서 작성 전문가2023-10-062023-10-0613:3017:00서구청 전산교육장집합20기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
141왕초보 컴퓨터 배우기2023-10-042023-10-0513:3017:00서구청 전산교육장집합22기초공통1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424
142[N]실무 자격증 ITQ파워포인트2023-10-042023-10-0609:0012:30서구청 전산교육장집합12기초고령층1800-00962023-10-31부산광역시 서구 토성동4가 2-335.097539129.023424