Overview

Dataset statistics

Number of variables25
Number of observations344
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.0 KiB
Average record size in memory202.4 B

Variable types

Text3
Categorical17
Numeric2
Boolean3

Dataset

Description대구광역시_수성구_평생학습강좌_20180820
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15009715&dataSetDetailId=150097151d00aa839ea4a&provdMethod=FILE

Alerts

교육대상구분 has constant value ""Constant
교육방법구분 has constant value ""Constant
운영기관명 has constant value ""Constant
직업능력개발훈련비지원강좌여부 has constant value ""Constant
학점은행제평가(학점)인정여부 has constant value ""Constant
평생학습계좌제평가인정여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
교육시작일자 is highly imbalanced (79.4%)Imbalance
교육종료일자 is highly imbalanced (89.8%)Imbalance
접수종료일자 is highly imbalanced (57.9%)Imbalance
접수방법구분 is highly imbalanced (88.1%)Imbalance
선정방법구분 is highly imbalanced (75.5%)Imbalance
홈페이지주소 is highly imbalanced (75.5%)Imbalance
수강료 has 15 (4.4%) zerosZeros

Reproduction

Analysis started2024-04-19 05:36:17.042256
Analysis finished2024-04-19 05:36:17.560906
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct258
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:36:17.743201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.244186
Min length2

Characters and Unicode

Total characters2492
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)62.2%

Sample

1st row국선도
2nd row고전무용 초급A
3rd row고전무용 초급B
4th row고전무용 중급
5th row댄스스포츠 초급
ValueCountFrequency (%)
초급 50
 
8.4%
중급 40
 
6.7%
요가 19
 
3.2%
하모니카 15
 
2.5%
필라테스 15
 
2.5%
수성글로벌여성아카데미 14
 
2.4%
라인댄스 13
 
2.2%
일본어회화 12
 
2.0%
통기타 12
 
2.0%
b반 11
 
1.8%
Other values (204) 394
66.2%
2024-04-19T14:36:18.145882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
10.1%
135
 
5.4%
83
 
3.3%
78
 
3.1%
75
 
3.0%
69
 
2.8%
59
 
2.4%
52
 
2.1%
50
 
2.0%
45
 
1.8%
Other values (214) 1595
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2038
81.8%
Space Separator 251
 
10.1%
Uppercase Letter 82
 
3.3%
Decimal Number 40
 
1.6%
Open Punctuation 24
 
1.0%
Close Punctuation 24
 
1.0%
Other Punctuation 23
 
0.9%
Dash Punctuation 4
 
0.2%
Math Symbol 4
 
0.2%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
135
 
6.6%
83
 
4.1%
78
 
3.8%
75
 
3.7%
69
 
3.4%
59
 
2.9%
52
 
2.6%
50
 
2.5%
45
 
2.2%
42
 
2.1%
Other values (186) 1350
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 26
31.7%
A 26
31.7%
P 8
 
9.8%
C 7
 
8.5%
D 5
 
6.1%
O 4
 
4.9%
E 3
 
3.7%
F 1
 
1.2%
G 1
 
1.2%
H 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
6 17
42.5%
1 6
 
15.0%
2 6
 
15.0%
5 5
 
12.5%
7 3
 
7.5%
4 2
 
5.0%
3 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 12
52.2%
& 9
39.1%
· 1
 
4.3%
, 1
 
4.3%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2038
81.8%
Common 370
 
14.8%
Latin 84
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
135
 
6.6%
83
 
4.1%
78
 
3.8%
75
 
3.7%
69
 
3.4%
59
 
2.9%
52
 
2.6%
50
 
2.5%
45
 
2.2%
42
 
2.1%
Other values (186) 1350
66.2%
Common
ValueCountFrequency (%)
251
67.8%
( 24
 
6.5%
) 24
 
6.5%
6 17
 
4.6%
/ 12
 
3.2%
& 9
 
2.4%
1 6
 
1.6%
2 6
 
1.6%
5 5
 
1.4%
- 4
 
1.1%
Other values (6) 12
 
3.2%
Latin
ValueCountFrequency (%)
B 26
31.0%
A 26
31.0%
P 8
 
9.5%
C 7
 
8.3%
D 5
 
6.0%
O 4
 
4.8%
E 3
 
3.6%
1
 
1.2%
F 1
 
1.2%
1
 
1.2%
Other values (2) 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2038
81.8%
ASCII 451
 
18.1%
Number Forms 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
55.7%
B 26
 
5.8%
A 26
 
5.8%
( 24
 
5.3%
) 24
 
5.3%
6 17
 
3.8%
/ 12
 
2.7%
& 9
 
2.0%
P 8
 
1.8%
C 7
 
1.6%
Other values (15) 47
 
10.4%
Hangul
ValueCountFrequency (%)
135
 
6.6%
83
 
4.1%
78
 
3.8%
75
 
3.7%
69
 
3.4%
59
 
2.9%
52
 
2.6%
50
 
2.5%
45
 
2.2%
42
 
2.1%
Other values (186) 1350
66.2%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct169
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:36:18.523624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.994186
Min length2

Characters and Unicode

Total characters1030
Distinct characters126
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)19.2%

Sample

1st row심한식
2nd row이민영
3rd row이민영
4th row이지민
5th row김종홍
ValueCountFrequency (%)
김미옥 7
 
2.0%
미정 7
 
2.0%
김문자 6
 
1.7%
정혜란 5
 
1.4%
김윤령 5
 
1.4%
하재석 5
 
1.4%
김정숙 5
 
1.4%
채미애 5
 
1.4%
이주희 5
 
1.4%
강석원 5
 
1.4%
Other values (161) 291
84.1%
2024-04-19T14:36:18.970185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
6.7%
56
 
5.4%
54
 
5.2%
51
 
5.0%
43
 
4.2%
40
 
3.9%
30
 
2.9%
30
 
2.9%
27
 
2.6%
20
 
1.9%
Other values (116) 610
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1027
99.7%
Space Separator 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
69
 
6.7%
56
 
5.5%
54
 
5.3%
51
 
5.0%
43
 
4.2%
40
 
3.9%
30
 
2.9%
30
 
2.9%
27
 
2.6%
20
 
1.9%
Other values (114) 607
59.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1027
99.7%
Common 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
69
 
6.7%
56
 
5.5%
54
 
5.3%
51
 
5.0%
43
 
4.2%
40
 
3.9%
30
 
2.9%
30
 
2.9%
27
 
2.6%
20
 
1.9%
Other values (114) 607
59.1%
Common
ValueCountFrequency (%)
2
66.7%
, 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1027
99.7%
ASCII 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
69
 
6.7%
56
 
5.5%
54
 
5.3%
51
 
5.0%
43
 
4.2%
40
 
3.9%
30
 
2.9%
30
 
2.9%
27
 
2.6%
20
 
1.9%
Other values (114) 607
59.1%
ASCII
ValueCountFrequency (%)
2
66.7%
, 1
33.3%

교육시작일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2018-10-01
300 
2018-07-02
 
30
2017-05-10
 
1
2017-05-17
 
1
2017-05-24
 
1
Other values (11)
 
11

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique14 ?
Unique (%)4.1%

Sample

1st row2018-10-01
2nd row2018-10-01
3rd row2018-10-01
4th row2018-07-02
5th row2018-10-01

Common Values

ValueCountFrequency (%)
2018-10-01 300
87.2%
2018-07-02 30
 
8.7%
2017-05-10 1
 
0.3%
2017-05-17 1
 
0.3%
2017-05-24 1
 
0.3%
2017-06-07 1
 
0.3%
2017-06-14 1
 
0.3%
2017-06-21 1
 
0.3%
2017-07-05 1
 
0.3%
2017-09-06 1
 
0.3%
Other values (6) 6
 
1.7%

Length

2024-04-19T14:36:19.098716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-10-01 300
87.2%
2018-07-02 30
 
8.7%
2017-05-10 1
 
0.3%
2017-05-17 1
 
0.3%
2017-05-24 1
 
0.3%
2017-06-07 1
 
0.3%
2017-06-14 1
 
0.3%
2017-06-21 1
 
0.3%
2017-07-05 1
 
0.3%
2017-09-06 1
 
0.3%
Other values (6) 6
 
1.7%

교육종료일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2018-12-22
330 
2017-05-10
 
1
2017-05-17
 
1
2017-05-24
 
1
2017-06-07
 
1
Other values (10)
 
10

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique14 ?
Unique (%)4.1%

Sample

1st row2018-12-22
2nd row2018-12-22
3rd row2018-12-22
4th row2018-12-22
5th row2018-12-22

Common Values

ValueCountFrequency (%)
2018-12-22 330
95.9%
2017-05-10 1
 
0.3%
2017-05-17 1
 
0.3%
2017-05-24 1
 
0.3%
2017-06-07 1
 
0.3%
2017-06-14 1
 
0.3%
2017-06-21 1
 
0.3%
2017-07-05 1
 
0.3%
2017-09-06 1
 
0.3%
2017-09-13 1
 
0.3%
Other values (5) 5
 
1.5%

Length

2024-04-19T14:36:19.222395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-12-22 330
95.9%
2017-05-10 1
 
0.3%
2017-05-17 1
 
0.3%
2017-05-24 1
 
0.3%
2017-06-07 1
 
0.3%
2017-06-14 1
 
0.3%
2017-06-21 1
 
0.3%
2017-07-05 1
 
0.3%
2017-09-06 1
 
0.3%
2017-09-13 1
 
0.3%
Other values (5) 5
 
1.5%
Distinct43
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
10:00
118 
13:00
58 
14:00
31 
15:10
15 
19:00
14 
Other values (38)
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique14 ?
Unique (%)4.1%

Sample

1st row10:00
2nd row13:00
3rd row15:10
4th row10:00
5th row14:10

Common Values

ValueCountFrequency (%)
10:00 118
34.3%
13:00 58
16.9%
14:00 31
 
9.0%
15:10 15
 
4.4%
19:00 14
 
4.1%
15:00 13
 
3.8%
14:10 11
 
3.2%
15:30 8
 
2.3%
16:20 6
 
1.7%
13:30 5
 
1.5%
Other values (33) 65
18.9%

Length

2024-04-19T14:36:19.335514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 118
34.3%
13:00 58
16.9%
14:00 31
 
9.0%
15:10 15
 
4.4%
19:00 14
 
4.1%
15:00 13
 
3.8%
14:10 11
 
3.2%
15:30 8
 
2.3%
16:20 6
 
1.7%
13:30 5
 
1.5%
Other values (33) 65
18.9%
Distinct45
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
11:50
108 
14:50
51 
16:00
20 
16:50
18 
20:50
 
13
Other values (40)
134 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique12 ?
Unique (%)3.5%

Sample

1st row11:50
2nd row14:50
3rd row17:00
4th row11:50
5th row15:00

Common Values

ValueCountFrequency (%)
11:50 108
31.4%
14:50 51
14.8%
16:00 20
 
5.8%
16:50 18
 
5.2%
20:50 13
 
3.8%
15:50 11
 
3.2%
17:00 11
 
3.2%
12:50 10
 
2.9%
15:00 9
 
2.6%
13:50 8
 
2.3%
Other values (35) 85
24.7%

Length

2024-04-19T14:36:19.444664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11:50 108
31.4%
14:50 51
14.8%
16:00 20
 
5.8%
16:50 18
 
5.2%
20:50 13
 
3.8%
15:50 11
 
3.2%
17:00 11
 
3.2%
12:50 10
 
2.9%
15:00 9
 
2.6%
17:20 8
 
2.3%
Other values (35) 85
24.7%
Distinct268
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-19T14:36:19.757621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length41
Mean length20.924419
Min length4

Characters and Unicode

Total characters7198
Distinct characters464
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)63.7%

Sample

1st row단전호흡
2nd row기본무 및 전통춤작품
3rd row기본무 및 전통춤작품
4th row전통춤,민속춤레퍼토리
5th row댄스스포츠 기초과정(룸바)
ValueCountFrequency (%)
59
 
3.5%
55
 
3.2%
배우기 47
 
2.8%
기초 23
 
1.4%
유연성 17
 
1.0%
이용한 15
 
0.9%
자세교정 14
 
0.8%
음악에 13
 
0.8%
기초부터 12
 
0.7%
다양한 12
 
0.7%
Other values (759) 1432
84.3%
2024-04-19T14:36:20.264157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1355
 
18.8%
272
 
3.8%
, 243
 
3.4%
92
 
1.3%
87
 
1.2%
87
 
1.2%
83
 
1.2%
83
 
1.2%
82
 
1.1%
81
 
1.1%
Other values (454) 4733
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5405
75.1%
Space Separator 1355
 
18.8%
Other Punctuation 257
 
3.6%
Lowercase Letter 54
 
0.8%
Open Punctuation 35
 
0.5%
Close Punctuation 35
 
0.5%
Decimal Number 27
 
0.4%
Uppercase Letter 24
 
0.3%
Math Symbol 4
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
272
 
5.0%
92
 
1.7%
87
 
1.6%
87
 
1.6%
83
 
1.5%
83
 
1.5%
82
 
1.5%
81
 
1.5%
80
 
1.5%
71
 
1.3%
Other values (412) 4387
81.2%
Lowercase Letter
ValueCountFrequency (%)
s 7
13.0%
c 7
13.0%
h 6
11.1%
a 6
11.1%
g 6
11.1%
n 5
9.3%
i 5
9.3%
w 5
9.3%
e 2
 
3.7%
t 2
 
3.7%
Other values (3) 3
5.6%
Uppercase Letter
ValueCountFrequency (%)
P 10
41.7%
O 5
20.8%
C 3
 
12.5%
I 1
 
4.2%
L 1
 
4.2%
T 1
 
4.2%
Q 1
 
4.2%
G 1
 
4.2%
U 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 7
25.9%
7 5
18.5%
5 3
11.1%
2 3
11.1%
4 2
 
7.4%
1 2
 
7.4%
3 2
 
7.4%
8 2
 
7.4%
6 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 243
94.6%
& 5
 
1.9%
· 4
 
1.6%
' 2
 
0.8%
/ 2
 
0.8%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5405
75.1%
Common 1715
 
23.8%
Latin 78
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
272
 
5.0%
92
 
1.7%
87
 
1.6%
87
 
1.6%
83
 
1.5%
83
 
1.5%
82
 
1.5%
81
 
1.5%
80
 
1.5%
71
 
1.3%
Other values (412) 4387
81.2%
Latin
ValueCountFrequency (%)
P 10
12.8%
s 7
9.0%
c 7
9.0%
h 6
 
7.7%
a 6
 
7.7%
g 6
 
7.7%
n 5
 
6.4%
O 5
 
6.4%
i 5
 
6.4%
w 5
 
6.4%
Other values (12) 16
20.5%
Common
ValueCountFrequency (%)
1355
79.0%
, 243
 
14.2%
( 35
 
2.0%
) 35
 
2.0%
0 7
 
0.4%
& 5
 
0.3%
7 5
 
0.3%
~ 4
 
0.2%
· 4
 
0.2%
5 3
 
0.2%
Other values (10) 19
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5405
75.1%
ASCII 1789
 
24.9%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1355
75.7%
, 243
 
13.6%
( 35
 
2.0%
) 35
 
2.0%
P 10
 
0.6%
s 7
 
0.4%
0 7
 
0.4%
c 7
 
0.4%
h 6
 
0.3%
a 6
 
0.3%
Other values (31) 78
 
4.4%
Hangul
ValueCountFrequency (%)
272
 
5.0%
92
 
1.7%
87
 
1.6%
87
 
1.6%
83
 
1.5%
83
 
1.5%
82
 
1.5%
81
 
1.5%
80
 
1.5%
71
 
1.3%
Other values (412) 4387
81.2%
None
ValueCountFrequency (%)
· 4
100.0%

교육대상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
지역주민
344 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역주민 344
100.0%

Length

2024-04-19T14:36:20.396147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:20.489980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역주민 344
100.0%

교육방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
오프라인
344 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오프라인 344
100.0%

Length

2024-04-19T14:36:20.587031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:20.681864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 344
100.0%

운영요일
Categorical

Distinct20
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
화요일,목요일
48 
목요일
40 
월요일
37 
수요일
36 
화요일
36 
Other values (15)
147 

Length

Max length15
Median length3
Mean length4.7616279
Min length3

Unique

Unique5 ?
Unique (%)1.5%

Sample

1st row화요일,금요일
2nd row월요일,수요일
3rd row월요일,수요일
4th row월요일,수요일
5th row화요일,금요일

Common Values

ValueCountFrequency (%)
화요일,목요일 48
14.0%
목요일 40
11.6%
월요일 37
10.8%
수요일 36
10.5%
화요일 36
10.5%
금요일 36
10.5%
월요일,수요일 34
9.9%
토요일 25
7.3%
화요일, 목요일 14
 
4.1%
월요일,수요일,금요일 9
 
2.6%
Other values (10) 29
8.4%

Length

2024-04-19T14:36:20.780007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
목요일 55
14.9%
화요일 50
13.5%
화요일,목요일 48
13.0%
수요일 47
12.7%
월요일 44
11.9%
금요일 41
11.1%
월요일,수요일 34
9.2%
토요일 25
6.8%
월요일,수요일,금요일 9
 
2.4%
화요일,금요일 7
 
1.9%
Other values (6) 10
 
2.7%

교육장소
Categorical

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
고산평생학습센터
98 
만촌평생학습센터
55 
지산평생학습센터
53 
두산평생학습센터
49 
수성동평생학습센터
38 
Other values (2)
51 

Length

Max length9
Median length8
Mean length8.1511628
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고산평생학습센터 98
28.5%
만촌평생학습센터 55
16.0%
지산평생학습센터 53
15.4%
두산평생학습센터 49
14.2%
수성동평생학습센터 38
 
11.0%
파동평생학습센터 37
 
10.8%
수성구 평생학습관 14
 
4.1%

Length

2024-04-19T14:36:20.895218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:21.007376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고산평생학습센터 98
27.4%
만촌평생학습센터 55
15.4%
지산평생학습센터 53
14.8%
두산평생학습센터 49
13.7%
수성동평생학습센터 38
 
10.6%
파동평생학습센터 37
 
10.3%
수성구 14
 
3.9%
평생학습관 14
 
3.9%

강좌정원수
Real number (ℝ)

Distinct12
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.087209
Minimum10
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:21.127602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q115
median20
Q325
95-th percentile40
Maximum80
Range70
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.056021
Coefficient of variation (CV)0.43556678
Kurtosis7.9864971
Mean23.087209
Median Absolute Deviation (MAD)5
Skewness2.5250784
Sum7942
Variance101.12357
MonotonicityNot monotonic
2024-04-19T14:36:21.232120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20 115
33.4%
15 76
22.1%
25 60
17.4%
30 54
15.7%
60 14
 
4.1%
12 12
 
3.5%
24 4
 
1.2%
40 3
 
0.9%
10 2
 
0.6%
16 2
 
0.6%
Other values (2) 2
 
0.6%
ValueCountFrequency (%)
10 2
 
0.6%
12 12
 
3.5%
15 76
22.1%
16 2
 
0.6%
20 115
33.4%
24 4
 
1.2%
25 60
17.4%
30 54
15.7%
40 3
 
0.9%
50 1
 
0.3%
ValueCountFrequency (%)
80 1
 
0.3%
60 14
 
4.1%
50 1
 
0.3%
40 3
 
0.9%
30 54
15.7%
25 60
17.4%
24 4
 
1.2%
20 115
33.4%
16 2
 
0.6%
15 76
22.1%

수강료
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51279.07
Minimum0
Maximum120000
Zeros15
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:36:21.339355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000
Q145000
median45000
Q360000
95-th percentile90000
Maximum120000
Range120000
Interquartile range (IQR)15000

Descriptive statistics

Standard deviation20644.655
Coefficient of variation (CV)0.40259418
Kurtosis4.384379
Mean51279.07
Median Absolute Deviation (MAD)0
Skewness1.1325277
Sum17640000
Variance4.2620178 × 108
MonotonicityNot monotonic
2024-04-19T14:36:21.441146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
45000 218
63.4%
60000 76
 
22.1%
90000 16
 
4.7%
0 15
 
4.4%
120000 14
 
4.1%
30000 5
 
1.5%
ValueCountFrequency (%)
0 15
 
4.4%
30000 5
 
1.5%
45000 218
63.4%
60000 76
 
22.1%
90000 16
 
4.7%
120000 14
 
4.1%
ValueCountFrequency (%)
120000 14
 
4.1%
90000 16
 
4.7%
60000 76
 
22.1%
45000 218
63.4%
30000 5
 
1.5%
0 15
 
4.4%
Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
대구광역시 수성구 달구벌대로 3091 (시지동)
98 
대구광역시 수성구 국채보상로 1001 (만촌동)
55 
대구광역시 수성구 지범로21길 16 (지산동)
53 
대구광역시 수성구 들안로16길 78 (두산동)
49 
대구광역시 수성구 명덕로73길 7(수성동 1가)
38 
Other values (2)
51 

Length

Max length26
Median length26
Mean length25.340116
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 수성구 달구벌대로 3091 (시지동)
2nd row대구광역시 수성구 달구벌대로 3091 (시지동)
3rd row대구광역시 수성구 달구벌대로 3091 (시지동)
4th row대구광역시 수성구 달구벌대로 3091 (시지동)
5th row대구광역시 수성구 달구벌대로 3091 (시지동)

Common Values

ValueCountFrequency (%)
대구광역시 수성구 달구벌대로 3091 (시지동) 98
28.5%
대구광역시 수성구 국채보상로 1001 (만촌동) 55
16.0%
대구광역시 수성구 지범로21길 16 (지산동) 53
15.4%
대구광역시 수성구 들안로16길 78 (두산동) 49
14.2%
대구광역시 수성구 명덕로73길 7(수성동 1가) 38
 
11.0%
대구광역시 수성구 파동로3길 62 (파동) 37
 
10.8%
대구광역시 수성구 달구벌대로 2451(범어동) 14
 
4.1%

Length

2024-04-19T14:36:21.562566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:21.683868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 344
20.2%
수성구 344
20.2%
달구벌대로 112
 
6.6%
3091 98
 
5.7%
시지동 98
 
5.7%
국채보상로 55
 
3.2%
1001 55
 
3.2%
만촌동 55
 
3.2%
16 53
 
3.1%
지산동 53
 
3.1%
Other values (11) 439
25.7%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
대구광역시 수성구청
344 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 수성구청
2nd row대구광역시 수성구청
3rd row대구광역시 수성구청
4th row대구광역시 수성구청
5th row대구광역시 수성구청

Common Values

ValueCountFrequency (%)
대구광역시 수성구청 344
100.0%

Length

2024-04-19T14:36:21.843730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:21.937501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 344
50.0%
수성구청 344
50.0%
Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
053-666-2543
98 
053-666-4671
55 
053-666-2681
53 
053-666-2981
49 
053-666-2693
38 
Other values (2)
51 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-666-2543
2nd row053-666-2543
3rd row053-666-2543
4th row053-666-2543
5th row053-666-2543

Common Values

ValueCountFrequency (%)
053-666-2543 98
28.5%
053-666-4671 55
16.0%
053-666-2681 53
15.4%
053-666-2981 49
14.2%
053-666-2693 38
 
11.0%
053-666-4353 37
 
10.8%
053-666-4234 14
 
4.1%

Length

2024-04-19T14:36:22.032056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:22.145427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-666-2543 98
28.5%
053-666-4671 55
16.0%
053-666-2681 53
15.4%
053-666-2981 49
14.2%
053-666-2693 38
 
11.0%
053-666-4353 37
 
10.8%
053-666-4234 14
 
4.1%
Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2018-09-04
115 
2018-09-03
98 
2018-09-05
87 
2018-06-05
20 
2018-04-16
14 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-09-04
2nd row2018-09-04
3rd row2018-09-04
4th row2018-06-05
5th row2018-09-04

Common Values

ValueCountFrequency (%)
2018-09-04 115
33.4%
2018-09-03 98
28.5%
2018-09-05 87
25.3%
2018-06-05 20
 
5.8%
2018-04-16 14
 
4.1%
2018-06-04 10
 
2.9%

Length

2024-04-19T14:36:22.278703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:22.383495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-09-04 115
33.4%
2018-09-03 98
28.5%
2018-09-05 87
25.3%
2018-06-05 20
 
5.8%
2018-04-16 14
 
4.1%
2018-06-04 10
 
2.9%

접수종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2018-09-28
300 
2018-06-29
 
30
2018-04-27
 
14

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-09-28
2nd row2018-09-28
3rd row2018-09-28
4th row2018-06-29
5th row2018-09-28

Common Values

ValueCountFrequency (%)
2018-09-28 300
87.2%
2018-06-29 30
 
8.7%
2018-04-27 14
 
4.1%

Length

2024-04-19T14:36:22.502921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:22.606279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-09-28 300
87.2%
2018-06-29 30
 
8.7%
2018-04-27 14
 
4.1%

접수방법구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
인터넷,방문접수
335 
인터넷
 
8
방문접수
 
1

Length

Max length8
Median length8
Mean length7.872093
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row인터넷,방문접수
2nd row인터넷,방문접수
3rd row인터넷,방문접수
4th row인터넷,방문접수
5th row인터넷,방문접수

Common Values

ValueCountFrequency (%)
인터넷,방문접수 335
97.4%
인터넷 8
 
2.3%
방문접수 1
 
0.3%

Length

2024-04-19T14:36:22.715046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:22.810119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷,방문접수 335
97.4%
인터넷 8
 
2.3%
방문접수 1
 
0.3%

선정방법구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
선착순
330 
정원 초과 시 선발
 
14

Length

Max length10
Median length3
Mean length3.2848837
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
선착순 330
95.9%
정원 초과 시 선발 14
 
4.1%

Length

2024-04-19T14:36:22.921915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:23.030170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선착순 330
85.5%
정원 14
 
3.6%
초과 14
 
3.6%
14
 
3.6%
선발 14
 
3.6%

홈페이지주소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
yeyak.suseong.kr
330 
lll.suseong.kr
 
14

Length

Max length16
Median length16
Mean length15.918605
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowyeyak.suseong.kr
2nd rowyeyak.suseong.kr
3rd rowyeyak.suseong.kr
4th rowyeyak.suseong.kr
5th rowyeyak.suseong.kr

Common Values

ValueCountFrequency (%)
yeyak.suseong.kr 330
95.9%
lll.suseong.kr 14
 
4.1%

Length

2024-04-19T14:36:23.145572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:23.247225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
yeyak.suseong.kr 330
95.9%
lll.suseong.kr 14
 
4.1%
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
False
344 
ValueCountFrequency (%)
False 344
100.0%
2024-04-19T14:36:23.329046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
False
344 
ValueCountFrequency (%)
False 344
100.0%
2024-04-19T14:36:23.412875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
False
344 
ValueCountFrequency (%)
False 344
100.0%
2024-04-19T14:36:23.489999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2018-08-20
344 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-20
2nd row2018-08-20
3rd row2018-08-20
4th row2018-08-20
5th row2018-08-20

Common Values

ValueCountFrequency (%)
2018-08-20 344
100.0%

Length

2024-04-19T14:36:23.595674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:36:23.701939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-20 344
100.0%

Sample

강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자
0국선도심한식2018-10-012018-12-2210:0011:50단전호흡지역주민오프라인화요일,금요일고산평생학습센터2560000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
1고전무용 초급A이민영2018-10-012018-12-2213:0014:50기본무 및 전통춤작품지역주민오프라인월요일,수요일고산평생학습센터3060000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
2고전무용 초급B이민영2018-10-012018-12-2215:1017:00기본무 및 전통춤작품지역주민오프라인월요일,수요일고산평생학습센터3060000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
3고전무용 중급이지민2018-07-022018-12-2210:0011:50전통춤,민속춤레퍼토리지역주민오프라인월요일,수요일고산평생학습센터30120000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-06-052018-06-29인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
4댄스스포츠 초급김종홍2018-10-012018-12-2214:1015:00댄스스포츠 기초과정(룸바)지역주민오프라인화요일,금요일고산평생학습센터3045000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
5댄스스포츠 중급김종홍2018-10-012018-12-2215:1016:00댄스스포츠 중급과정(삼바)지역주민오프라인화요일,금요일고산평생학습센터3045000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
6댄스스포츠 야간/초급박미라2018-10-012018-12-2219:3021:20댄스스포츠 기초과정(자이브)지역주민오프라인화요일고산평생학습센터2545000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
7쉬운라인댄스박인숙2018-10-012018-12-2216:2017:10기본동작으로 누구나 같이 할 수 있는 댄스지역주민오프라인화요일,금요일고산평생학습센터3045000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
8라인댄스 초급류선복2018-10-012018-12-2213:0013:50라인을 만들어 음악에 맞추어 동작과 스탭으로 추는 춤 초급지역주민오프라인화요일,목요일고산평생학습센터3045000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
9라인댄스 중급류선복2018-10-012018-12-2212:0012:50라인을 만들어 음악에 맞추어 동작과 스탭으로 추는 춤 중급지역주민오프라인화요일,목요일고산평생학습센터3045000대구광역시 수성구 달구벌대로 3091 (시지동)대구광역시 수성구청053-666-25432018-09-042018-09-28인터넷,방문접수선착순yeyak.suseong.krNNN2018-08-20
강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자
334수성글로벌여성아카데미와타나베 미카2017-06-142017-06-1414:0016:00세계 시민으로 지구촌 바라보기지역주민오프라인목요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
335수성글로벌여성아카데미한명아2017-06-212017-06-2114:0016:00우리 마을의 숨겨진 이야기를 찾아서지역주민오프라인목요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
336수성글로벌여성아카데미임영신, 솔가2017-07-052017-07-0514:0016:00삶이 된 노래, 노래가 된 여행지역주민오프라인목요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
337수성글로벌여성아카데미최운실2017-09-062017-09-0614:0016:00세상을 바꾸는 힘 평생학습 &여성지역주민오프라인목요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
338수성글로벌여성아카데미양성길2017-09-132017-09-1314:0016:00여성, 4차산업혁명의 주역으로 떠오르다지역주민오프라인목요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
339수성글로벌여성아카데미한건수2017-09-272017-09-2714:0016:00아프리카는 블랙이 아닌 초록지역주민오프라인금요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
340수성글로벌여성아카데미문아영2017-10-112017-10-1114:0016:00모두가 모두로부터 배우는 평화교육지역주민오프라인토요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
341수성글로벌여성아카데미김대권2017-10-182017-10-1814:0016:00인자수성 도시 가치 실현을 위한 여성의 역할지역주민오프라인일요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
342수성글로벌여성아카데미주영선2017-10-252017-10-2514:0016:00한국인들만 모르는 대한민국지역주민오프라인월요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20
343수성글로벌여성아카데미김명숙2017-11-012017-11-0114:0016:00지속가능한 지구촌을 위한 따뜻한 여성의 리더십지역주민오프라인화요일수성구 평생학습관600대구광역시 수성구 달구벌대로 2451(범어동)대구광역시 수성구청053-666-42342018-04-162018-04-27인터넷,방문접수정원 초과 시 선발lll.suseong.krNNN2018-08-20