Overview

Dataset statistics

Number of variables17
Number of observations198
Missing cells29
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory140.7 B

Variable types

Numeric4
Text2
Categorical10
DateTime1

Dataset

Description창원시 도서관사업소의 강좌명, 현황, 수강총원, 온라인신청, 예비신청, 강좌기간시작일, 강좌기간종료일, 강좌요일, 강좌시간, 수강료, 강의실, 강좌설명, 모집공고시작일, 모집공고종료일 정보입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15088809/fileData.do

Alerts

모집공고일 is highly overall correlated with 연번 and 9 other fieldsHigh correlation
매주 is highly overall correlated with 연번 and 12 other fieldsHigh correlation
요일 is highly overall correlated with 강좌시작일 and 4 other fieldsHigh correlation
수강료 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
시간 is highly overall correlated with 수강총원 and 2 other fieldsHigh correlation
강의실 is highly overall correlated with 연번 and 8 other fieldsHigh correlation
작성일 is highly overall correlated with 연번 and 10 other fieldsHigh correlation
모집공고종료일 is highly overall correlated with 연번 and 9 other fieldsHigh correlation
강좌시작일 is highly overall correlated with 요일 and 5 other fieldsHigh correlation
현황 is highly overall correlated with 예비신청 and 5 other fieldsHigh correlation
연번 is highly overall correlated with 수강료 and 5 other fieldsHigh correlation
수강총원 is highly overall correlated with 온라인신청 and 6 other fieldsHigh correlation
온라인신청 is highly overall correlated with 수강총원 and 6 other fieldsHigh correlation
예비신청 is highly overall correlated with 수강총원 and 4 other fieldsHigh correlation
현황 is highly imbalanced (80.4%)Imbalance
수강료 is highly imbalanced (65.2%)Imbalance
수강총원 has 2 (1.0%) missing valuesMissing
예비신청 has 24 (12.1%) missing valuesMissing
강좌설명 has 3 (1.5%) missing valuesMissing
연번 has unique valuesUnique
예비신청 has 45 (22.7%) zerosZeros

Reproduction

Analysis started2023-12-12 08:46:00.180356
Analysis finished2023-12-12 08:46:05.063970
Duration4.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T17:46:05.158485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q150.25
median99.5
Q3148.75
95-th percentile188.15
Maximum198
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57589781
Kurtosis-1.2
Mean99.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19701
Variance3283.5
MonotonicityStrictly increasing
2023-12-12T17:46:05.355939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
126 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%

강좌명
Text

Distinct196
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T17:46:05.708723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32
Mean length20.555556
Min length3

Characters and Unicode

Total characters4070
Distinct characters316
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)98.0%

Sample

1st row(토요)영어 그림책 놀이 2-3
2nd row[문화강좌] 서예
3rd row[문화강좌] 아크릴화
4th row[문화강좌] 문인화
5th row[문화강좌] 유화
ValueCountFrequency (%)
만들기 23
 
3.2%
문화강좌 11
 
1.5%
6-7세 10
 
1.4%
독서의 9
 
1.3%
그림책 9
 
1.3%
작가 8
 
1.1%
1-3 8
 
1.1%
하브루타 7
 
1.0%
토요)영어 7
 
1.0%
배우는 7
 
1.0%
Other values (363) 614
86.1%
2023-12-12T17:46:06.240441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
12.8%
) 137
 
3.4%
( 136
 
3.3%
- 78
 
1.9%
1 63
 
1.5%
다 61
 
1.5%
] 57
 
1.4%
[ 57
 
1.4%
학 56
 
1.4%
자 56
 
1.4%
Other values (306) 2850
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2609
64.1%
Space Separator 519
 
12.8%
Decimal Number 309
 
7.6%
Close Punctuation 203
 
5.0%
Open Punctuation 202
 
5.0%
Math Symbol 84
 
2.1%
Dash Punctuation 78
 
1.9%
Other Punctuation 35
 
0.9%
Other Number 12
 
0.3%
Uppercase Letter 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 61
 
2.3%
학 56
 
2.1%
자 56
 
2.1%
화 55
 
2.1%
서 50
 
1.9%
초 50
 
1.9%
녀 50
 
1.9%
만 48
 
1.8%
이 48
 
1.8%
등 46
 
1.8%
Other values (269) 2089
80.1%
Decimal Number
ValueCountFrequency (%)
1 63
20.4%
3 50
16.2%
6 50
16.2%
2 34
11.0%
4 31
10.0%
0 30
9.7%
5 28
9.1%
7 12
 
3.9%
9 11
 
3.6%
Other Punctuation
ValueCountFrequency (%)
: 19
54.3%
! 9
25.7%
. 3
 
8.6%
※ 2
 
5.7%
/ 1
 
2.9%
, 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 137
67.5%
] 57
28.1%
』 8
 
3.9%
」 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 136
67.3%
[ 57
28.2%
『 8
 
4.0%
「 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 36
42.9%
< 23
27.4%
> 23
27.4%
+ 2
 
2.4%
Other Number
ValueCountFrequency (%)
① 3
25.0%
② 3
25.0%
④ 3
25.0%
③ 3
25.0%
Uppercase Letter
ValueCountFrequency (%)
O 8
72.7%
S 2
 
18.2%
N 1
 
9.1%
Space Separator
ValueCountFrequency (%)
519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2609
64.1%
Common 1442
35.4%
Latin 19
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 61
 
2.3%
학 56
 
2.1%
자 56
 
2.1%
화 55
 
2.1%
서 50
 
1.9%
초 50
 
1.9%
녀 50
 
1.9%
만 48
 
1.8%
이 48
 
1.8%
등 46
 
1.8%
Other values (269) 2089
80.1%
Common
ValueCountFrequency (%)
519
36.0%
) 137
 
9.5%
( 136
 
9.4%
- 78
 
5.4%
1 63
 
4.4%
] 57
 
4.0%
[ 57
 
4.0%
3 50
 
3.5%
6 50
 
3.5%
~ 36
 
2.5%
Other values (23) 259
18.0%
Latin
ValueCountFrequency (%)
n 8
42.1%
O 8
42.1%
S 2
 
10.5%
N 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2609
64.1%
ASCII 1429
35.1%
None 18
 
0.4%
Enclosed Alphanum 12
 
0.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
36.3%
) 137
 
9.6%
( 136
 
9.5%
- 78
 
5.5%
1 63
 
4.4%
] 57
 
4.0%
[ 57
 
4.0%
3 50
 
3.5%
6 50
 
3.5%
~ 36
 
2.5%
Other values (18) 246
17.2%
Hangul
ValueCountFrequency (%)
다 61
 
2.3%
학 56
 
2.1%
자 56
 
2.1%
화 55
 
2.1%
서 50
 
1.9%
초 50
 
1.9%
녀 50
 
1.9%
만 48
 
1.8%
이 48
 
1.8%
등 46
 
1.8%
Other values (269) 2089
80.1%
None
ValueCountFrequency (%)
『 8
44.4%
』 8
44.4%
」 1
 
5.6%
「 1
 
5.6%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
25.0%
② 3
25.0%
④ 3
25.0%
③ 3
25.0%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%

현황
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
접수
192 
마감
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
접수 192
97.0%
마감 6
 
3.0%

Length

2023-12-12T17:46:06.408113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:06.526609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수 192
97.0%
마감 6
 
3.0%

수강총원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)11.7%
Missing2
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean11.94898
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T17:46:06.663169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q315
95-th percentile30
Maximum102
Range101
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.804278
Coefficient of variation (CV)0.98789003
Kurtosis20.545836
Mean11.94898
Median Absolute Deviation (MAD)5
Skewness3.6496552
Sum2342
Variance139.34097
MonotonicityNot monotonic
2023-12-12T17:46:06.844480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 31
15.7%
15 29
14.6%
8 25
12.6%
12 25
12.6%
10 22
11.1%
5 13
6.6%
3 12
 
6.1%
30 11
 
5.6%
20 9
 
4.5%
18 3
 
1.5%
Other values (13) 16
8.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 31
15.7%
3 12
 
6.1%
4 1
 
0.5%
5 13
6.6%
6 2
 
1.0%
7 2
 
1.0%
8 25
12.6%
9 1
 
0.5%
10 22
11.1%
ValueCountFrequency (%)
102 1
 
0.5%
70 1
 
0.5%
52 1
 
0.5%
50 2
 
1.0%
44 1
 
0.5%
30 11
 
5.6%
25 1
 
0.5%
20 9
 
4.5%
18 3
 
1.5%
15 29
14.6%

온라인신청
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.535354
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T17:46:07.004916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median9
Q315
95-th percentile30
Maximum102
Range101
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.924733
Coefficient of variation (CV)1.0337553
Kurtosis19.888788
Mean11.535354
Median Absolute Deviation (MAD)6
Skewness3.5927662
Sum2284
Variance142.19925
MonotonicityNot monotonic
2023-12-12T17:46:07.182868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 32
16.2%
15 29
14.6%
8 25
12.6%
10 22
11.1%
3 20
10.1%
5 13
6.6%
30 11
 
5.6%
20 11
 
5.6%
9 9
 
4.5%
12 9
 
4.5%
Other values (12) 17
8.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 32
16.2%
3 20
10.1%
5 13
6.6%
6 2
 
1.0%
7 2
 
1.0%
8 25
12.6%
9 9
 
4.5%
10 22
11.1%
12 9
 
4.5%
ValueCountFrequency (%)
102 1
 
0.5%
70 1
 
0.5%
52 1
 
0.5%
50 2
 
1.0%
44 1
 
0.5%
30 11
 
5.6%
25 1
 
0.5%
20 11
 
5.6%
18 3
 
1.5%
15 29
14.6%

예비신청
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct6
Distinct (%)3.4%
Missing24
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean2.6321839
Minimum0
Maximum8
Zeros45
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T17:46:07.334612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation1.9919778
Coefficient of variation (CV)0.75677759
Kurtosis-0.71577472
Mean2.6321839
Median Absolute Deviation (MAD)2
Skewness0.18652971
Sum458
Variance3.9679755
MonotonicityNot monotonic
2023-12-12T17:46:07.487412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 47
23.7%
0 45
22.7%
3 43
21.7%
2 34
17.2%
8 3
 
1.5%
1 2
 
1.0%
(Missing) 24
12.1%
ValueCountFrequency (%)
0 45
22.7%
1 2
 
1.0%
2 34
17.2%
3 43
21.7%
5 47
23.7%
8 3
 
1.5%
ValueCountFrequency (%)
8 3
 
1.5%
5 47
23.7%
3 43
21.7%
2 34
17.2%
1 2
 
1.0%
0 45
22.7%

강좌시작일
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-09-11
54 
2021-09-07
29 
2021-09-09
20 
2021-09-06
16 
2021-09-08
 
7
Other values (36)
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique22 ?
Unique (%)11.1%

Sample

1st row2020-03-07
2nd row2021-09-06
3rd row2021-09-06
4th row2021-09-06
5th row2021-09-06

Common Values

ValueCountFrequency (%)
2021-09-11 54
27.3%
2021-09-07 29
14.6%
2021-09-09 20
 
10.1%
2021-09-06 16
 
8.1%
2021-09-08 7
 
3.5%
2021-09-26 7
 
3.5%
2021-09-25 6
 
3.0%
2021-09-10 6
 
3.0%
2021-09-18 5
 
2.5%
2021-09-04 5
 
2.5%
Other values (31) 43
21.7%

Length

2023-12-12T17:46:07.662128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-09-11 54
27.3%
2021-09-07 29
14.6%
2021-09-09 20
 
10.1%
2021-09-06 16
 
8.1%
2021-09-08 7
 
3.5%
2021-09-26 7
 
3.5%
2021-09-25 6
 
3.0%
2021-09-10 6
 
3.0%
2021-09-18 5
 
2.5%
2021-09-04 5
 
2.5%
Other values (31) 43
21.7%

강좌종료일
Date

Distinct51
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2020-05-09 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T17:46:07.849989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:08.065706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
,,,,,,토
85 
,,,,목,,
26 
,,화,,,,
25 
,,,수,,,
23 
,,,,,금,
14 
Other values (4)
25 

Length

Max length12
Median length7
Mean length7.0606061
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row,,,,,,토
2nd row,월,,,,,
3rd row,월,,,,,
4th row,,화,,,,
5th row,,화,,,,

Common Values

ValueCountFrequency (%)
,,,,,,토 85
42.9%
,,,,목,, 26
 
13.1%
,,화,,,, 25
 
12.6%
,,,수,,, 23
 
11.6%
,,,,,금, 14
 
7.1%
일,,,,,, 13
 
6.6%
,월,,,,, 6
 
3.0%
일,,화,수,목,금,토 3
 
1.5%
,,,,,, 3
 
1.5%

Length

2023-12-12T17:46:08.275517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:08.796035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토 85
42.9%
목 26
 
13.1%
화 25
 
12.6%
수 23
 
11.6%
금 14
 
7.1%
일 13
 
6.6%
월 6
 
3.0%
일,,화,수,목,금,토 3
 
1.5%
3
 
1.5%

시간
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
10:00-12:00
58 
14:00-16:00
19 
15:00-16:00
12 
14:00-15:00
12 
16:00-18:00
12 
Other values (28)
85 

Length

Max length11
Median length11
Mean length10.90404
Min length3

Unique

Unique10 ?
Unique (%)5.1%

Sample

1st row11:00-12:00
2nd row10:00-12:00
3rd row10:00-12:00
4th row10:00-12:00
5th row10:00-12:00

Common Values

ValueCountFrequency (%)
10:00-12:00 58
29.3%
14:00-16:00 19
 
9.6%
15:00-16:00 12
 
6.1%
14:00-15:00 12
 
6.1%
16:00-18:00 12
 
6.1%
16:00-17:00 12
 
6.1%
17:00-18:00 10
 
5.1%
11:00-12:00 8
 
4.0%
10:00-11:00 8
 
4.0%
13:00-14:30 4
 
2.0%
Other values (23) 43
21.7%

Length

2023-12-12T17:46:08.985620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00-12:00 58
29.3%
14:00-16:00 19
 
9.6%
15:00-16:00 12
 
6.1%
14:00-15:00 12
 
6.1%
16:00-18:00 12
 
6.1%
16:00-17:00 12
 
6.1%
17:00-18:00 10
 
5.1%
11:00-12:00 8
 
4.0%
10:00-11:00 8
 
4.0%
13:00-14:30 4
 
2.0%
Other values (23) 43
21.7%

수강료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
무료
179 
무료(교재 및 재료비 별도)
 
10
무료
 
9

Length

Max length15
Median length2
Mean length2.7020202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 179
90.4%
무료(교재 및 재료비 별도) 10
 
5.1%
무료 9
 
4.5%

Length

2023-12-12T17:46:09.138311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:09.267068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 188
82.5%
무료(교재 10
 
4.4%
및 10
 
4.4%
재료비 10
 
4.4%
별도 10
 
4.4%

강의실
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
21 
4층 다목적홀
15 
삼풍대공원 체험 부스
 
12
온라인(ZOOM)
 
12
3 강의실
 
10
Other values (41)
128 

Length

Max length27
Median length18
Mean length8.3787879
Min length3

Unique

Unique20 ?
Unique (%)10.1%

Sample

1st row1층 어린이자료실
2nd row대강좌실 또는 온라인강좌
3rd row소강좌실 또는 온라인강좌
4th row대강좌실 또는 온라인강좌
5th row소강좌실 또는 온라인강좌

Common Values

ValueCountFrequency (%)
<NA> 21
 
10.6%
4층 다목적홀 15
 
7.6%
삼풍대공원 체험 부스 12
 
6.1%
온라인(ZOOM) 12
 
6.1%
3 강의실 10
 
5.1%
온라인 ZOOM 운영 10
 
5.1%
다목적실 9
 
4.5%
1층교육장 8
 
4.0%
온라인 플랫폼 8
 
4.0%
4층 문화교실 8
 
4.0%
Other values (36) 85
42.9%

Length

2023-12-12T17:46:09.407406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온라인 25
 
6.3%
4층 24
 
6.1%
na 21
 
5.3%
3층 18
 
4.6%
zoom 17
 
4.3%
문화교실 16
 
4.1%
또는 15
 
3.8%
다목적홀 15
 
3.8%
강의실 14
 
3.5%
어린이자료실 13
 
3.3%
Other values (50) 217
54.9%

강좌설명
Text

MISSING 

Distinct159
Distinct (%)81.5%
Missing3
Missing (%)1.5%
Memory size1.7 KiB
2023-12-12T17:46:09.805978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length316
Median length167
Mean length113.46667
Min length6

Characters and Unicode

Total characters22126
Distinct characters582
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)71.8%

Sample

1st row영어 그림책 스토리텔링 및 활동
2nd row전통서예기법과 표현을 익히고 나아가 현대적 표현의 창작력을 기름 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음
3rd row아크릴물감을 이해하고 기초표현과 다양한 표현방법을 익힘 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음
4th row매화, 난, 국화, 대나무의 사군자를 기초로 한 문인화 수련 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음
5th row재료의 종류와 사용법, 구도잡기, 도형 스케치, 색 변화 알기 등을 익혀감 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음
ValueCountFrequency (%)
466
 
9.1%
따라 96
 
1.9%
수 86
 
1.7%
및 64
 
1.3%
상황에 61
 
1.2%
코로나19 60
 
1.2%
준비물 59
 
1.2%
비대면 56
 
1.1%
또는 55
 
1.1%
있음 51
 
1.0%
Other values (1428) 4045
79.3%
2023-12-12T17:46:10.422287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4810
 
21.7%
676
 
3.1%
676
 
3.1%
로 309
 
1.4%
- 301
 
1.4%
수 292
 
1.3%
1 288
 
1.3%
, 273
 
1.2%
: 251
 
1.1%
0 227
 
1.0%
Other values (572) 14023
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13122
59.3%
Space Separator 4810
 
21.7%
Control 1352
 
6.1%
Other Punctuation 1013
 
4.6%
Decimal Number 891
 
4.0%
Dash Punctuation 301
 
1.4%
Close Punctuation 189
 
0.9%
Open Punctuation 189
 
0.9%
Math Symbol 129
 
0.6%
Lowercase Letter 68
 
0.3%
Other values (4) 62
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 309
 
2.4%
수 292
 
2.2%
비 213
 
1.6%
기 212
 
1.6%
이 204
 
1.6%
에 200
 
1.5%
을 187
 
1.4%
의 179
 
1.4%
대 176
 
1.3%
나 173
 
1.3%
Other values (506) 10977
83.7%
Other Punctuation
ValueCountFrequency (%)
, 273
26.9%
: 251
24.8%
. 181
17.9%
* 77
 
7.6%
\ 64
 
6.3%
※ 55
 
5.4%
? 32
 
3.2%
/ 32
 
3.2%
! 16
 
1.6%
' 12
 
1.2%
Other values (4) 20
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
L 8
16.3%
O 8
16.3%
A 5
10.2%
Z 5
10.2%
P 4
8.2%
M 4
8.2%
D 4
8.2%
E 3
 
6.1%
C 3
 
6.1%
N 2
 
4.1%
Other values (2) 3
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
o 22
32.4%
m 15
22.1%
r 8
 
11.8%
c 8
 
11.8%
z 5
 
7.4%
b 4
 
5.9%
a 2
 
2.9%
e 1
 
1.5%
n 1
 
1.5%
y 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 288
32.3%
0 227
25.5%
9 121
13.6%
5 53
 
5.9%
2 50
 
5.6%
3 46
 
5.2%
6 38
 
4.3%
4 28
 
3.1%
8 25
 
2.8%
7 15
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 62
48.1%
< 31
24.0%
> 31
24.0%
+ 3
 
2.3%
→ 2
 
1.6%
Other Number
ValueCountFrequency (%)
① 3
27.3%
④ 3
27.3%
③ 3
27.3%
② 2
18.2%
Control
ValueCountFrequency (%)
676
50.0%
676
50.0%
Close Punctuation
ValueCountFrequency (%)
) 169
89.4%
] 20
 
10.6%
Open Punctuation
ValueCountFrequency (%)
( 169
89.4%
[ 20
 
10.6%
Space Separator
ValueCountFrequency (%)
4810
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13122
59.3%
Common 8887
40.2%
Latin 117
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 309
 
2.4%
수 292
 
2.2%
비 213
 
1.6%
기 212
 
1.6%
이 204
 
1.6%
에 200
 
1.5%
을 187
 
1.4%
의 179
 
1.4%
대 176
 
1.3%
나 173
 
1.3%
Other values (506) 10977
83.7%
Common
ValueCountFrequency (%)
4810
54.1%
676
 
7.6%
676
 
7.6%
- 301
 
3.4%
1 288
 
3.2%
, 273
 
3.1%
: 251
 
2.8%
0 227
 
2.6%
. 181
 
2.0%
) 169
 
1.9%
Other values (33) 1035
 
11.6%
Latin
ValueCountFrequency (%)
o 22
18.8%
m 15
12.8%
r 8
 
6.8%
L 8
 
6.8%
c 8
 
6.8%
O 8
 
6.8%
z 5
 
4.3%
A 5
 
4.3%
Z 5
 
4.3%
b 4
 
3.4%
Other values (13) 29
24.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13122
59.3%
ASCII 8934
40.4%
Punctuation 57
 
0.3%
Enclosed Alphanum 11
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4810
53.8%
676
 
7.6%
676
 
7.6%
- 301
 
3.4%
1 288
 
3.2%
, 273
 
3.1%
: 251
 
2.8%
0 227
 
2.5%
. 181
 
2.0%
) 169
 
1.9%
Other values (48) 1082
 
12.1%
Hangul
ValueCountFrequency (%)
로 309
 
2.4%
수 292
 
2.2%
비 213
 
1.6%
기 212
 
1.6%
이 204
 
1.6%
에 200
 
1.5%
을 187
 
1.4%
의 179
 
1.4%
대 176
 
1.3%
나 173
 
1.3%
Other values (506) 10977
83.7%
Punctuation
ValueCountFrequency (%)
※ 55
96.5%
’ 1
 
1.8%
‘ 1
 
1.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
27.3%
④ 3
27.3%
③ 3
27.3%
② 2
18.2%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

모집공고일
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-17
59 
2021-08-24
46 
2021-09-06
17 
2021-07-16
10 
2021-08-18
7 
Other values (23)
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique7 ?
Unique (%)3.5%

Sample

1st row2020-02-13
2nd row2021-08-17
3rd row2021-08-17
4th row2021-08-17
5th row2021-08-17

Common Values

ValueCountFrequency (%)
2021-08-17 59
29.8%
2021-08-24 46
23.2%
2021-09-06 17
 
8.6%
2021-07-16 10
 
5.1%
2021-08-18 7
 
3.5%
2021-08-25 6
 
3.0%
2021-09-14 5
 
2.5%
2021-08-26 5
 
2.5%
2021-08-30 4
 
2.0%
2020-09-23 4
 
2.0%
Other values (18) 35
17.7%

Length

2023-12-12T17:46:10.566200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-17 59
29.8%
2021-08-24 46
23.2%
2021-09-06 17
 
8.6%
2021-07-16 10
 
5.1%
2021-08-18 7
 
3.5%
2021-08-25 6
 
3.0%
2021-09-14 5
 
2.5%
2021-08-26 5
 
2.5%
2021-07-13 4
 
2.0%
2021-09-09 4
 
2.0%
Other values (18) 35
17.7%

모집공고종료일
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-19
33 
2021-08-26
30 
2021-08-22
17 
2021-09-09
17 
2021-08-30
15 
Other values (31)
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique13 ?
Unique (%)6.6%

Sample

1st row2020-02-16
2nd row2021-08-25
3rd row2021-08-25
4th row2021-08-25
5th row2021-08-25

Common Values

ValueCountFrequency (%)
2021-08-19 33
16.7%
2021-08-26 30
15.2%
2021-08-22 17
 
8.6%
2021-09-09 17
 
8.6%
2021-08-30 15
 
7.6%
2021-08-25 14
 
7.1%
2021-07-25 10
 
5.1%
2021-08-31 8
 
4.0%
2021-09-12 6
 
3.0%
2021-09-19 4
 
2.0%
Other values (26) 44
22.2%

Length

2023-12-12T17:46:10.678349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-19 33
16.7%
2021-08-26 30
15.2%
2021-08-22 17
 
8.6%
2021-09-09 17
 
8.6%
2021-08-30 15
 
7.6%
2021-08-25 14
 
7.1%
2021-07-25 10
 
5.1%
2021-08-31 8
 
4.0%
2021-09-12 6
 
3.0%
2021-07-18 4
 
2.0%
Other values (26) 44
22.2%

작성일
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2021-08-13
30 
2021-08-03
23 
2021-08-24
16 
2021-08-06
14 
2021-08-12
13 
Other values (29)
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)5.1%

Sample

1st row2020-02-06
2nd row2020-02-09
3rd row2020-02-09
4th row2020-02-09
5th row2020-02-09

Common Values

ValueCountFrequency (%)
2021-08-13 30
15.2%
2021-08-03 23
11.6%
2021-08-24 16
 
8.1%
2021-08-06 14
 
7.1%
2021-08-12 13
 
6.6%
2021-07-08 11
 
5.6%
2020-02-09 11
 
5.6%
2021-08-07 11
 
5.6%
2021-08-23 8
 
4.0%
2021-08-19 8
 
4.0%
Other values (24) 53
26.8%

Length

2023-12-12T17:46:10.817140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08-13 30
15.2%
2021-08-03 23
11.6%
2021-08-24 16
 
8.1%
2021-08-06 14
 
7.1%
2021-08-12 13
 
6.6%
2021-07-08 11
 
5.6%
2020-02-09 11
 
5.6%
2021-08-07 11
 
5.6%
2021-08-23 8
 
4.0%
2021-08-19 8
 
4.0%
Other values (24) 53
26.8%

매주
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
104 
매주
94 

Length

Max length4
Median length4
Mean length3.0505051
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
52.5%
매주 94
47.5%

Length

2023-12-12T17:46:10.958002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:11.083867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
52.5%
매주 94
47.5%

Interactions

2023-12-12T17:46:03.903898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:02.447026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:02.926525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.374818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:04.060656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:02.573397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.021585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.537437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:04.184043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:02.697963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.115391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.663868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:04.291537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:02.803298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.229789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:46:03.784429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:46:11.178856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번현황수강총원온라인신청예비신청강좌시작일강좌종료일요일시간수강료강의실모집공고일모집공고종료일작성일
연번1.0000.1280.3960.3420.5990.8680.9300.5560.7700.7700.9650.8870.9180.976
현황0.1281.0000.4490.3490.8190.5860.6390.1940.4980.0000.9610.6870.8390.935
수강총원0.3960.4491.0001.0000.4340.7850.9500.6870.8840.2120.7790.9050.9710.895
온라인신청0.3420.3491.0001.0000.4800.7680.9290.6700.8700.0000.7430.9310.9520.885
예비신청0.5990.8190.4340.4801.0000.3160.5960.3380.5170.7450.8790.5880.7070.792
강좌시작일0.8680.5860.7850.7680.3161.0000.9990.9760.8610.5130.9780.9860.9880.980
강좌종료일0.9300.6390.9500.9290.5960.9991.0000.9860.8840.9040.9770.9880.9930.988
요일0.5560.1940.6870.6700.3380.9760.9861.0000.8550.6000.8590.8850.9110.911
시간0.7700.4980.8840.8700.5170.8610.8840.8551.0000.0000.9260.9220.9040.928
수강료0.7700.0000.2120.0000.7450.5130.9040.6000.0001.0000.8970.1130.5750.957
강의실0.9650.9610.7790.7430.8790.9780.9770.8590.9260.8971.0000.9880.9840.991
모집공고일0.8870.6870.9050.9310.5880.9860.9880.8850.9220.1130.9881.0000.9890.988
모집공고종료일0.9180.8390.9710.9520.7070.9880.9930.9110.9040.5750.9840.9891.0000.984
작성일0.9760.9350.8950.8850.7920.9800.9880.9110.9280.9570.9910.9880.9841.000
2023-12-12T17:46:11.382123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집공고일매주요일수강료시간강의실작성일모집공고종료일강좌시작일현황
모집공고일1.0001.0000.5570.0460.4700.7400.7840.7760.7300.517
매주1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
요일0.5571.0001.0000.3200.4910.4790.5960.5400.7670.190
수강료0.0461.0000.3201.0000.0000.7000.7880.2960.2650.000
시간0.4701.0000.4910.0001.0000.4110.4630.4050.3240.388
강의실0.7401.0000.4790.7000.4111.0000.7560.6760.6150.785
작성일0.7841.0000.5960.7880.4630.7561.0000.7150.6520.748
모집공고종료일0.7761.0000.5400.2960.4050.6760.7151.0000.7290.638
강좌시작일0.7301.0000.7670.2650.3240.6150.6520.7291.0000.443
현황0.5171.0000.1900.0000.3880.7850.7480.6380.4431.000
2023-12-12T17:46:11.510512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수강총원온라인신청예비신청현황강좌시작일요일시간수강료강의실모집공고일모집공고종료일작성일매주
연번1.000-0.123-0.068-0.3490.0950.4770.2910.3730.6370.6820.5500.5920.7851.000
수강총원-0.1231.0000.9480.5820.4750.4220.4520.5800.1430.4140.6310.7200.5971.000
온라인신청-0.0680.9481.0000.6440.3690.3960.4340.5530.0000.3730.6220.7150.5711.000
예비신청-0.3490.5820.6441.0000.6160.1220.1930.2380.4200.5320.2900.3630.4571.000
현황0.0950.4750.3690.6161.0000.4430.1900.3880.0000.7850.5170.6380.7481.000
강좌시작일0.4770.4220.3960.1220.4431.0000.7670.3240.2650.6150.7300.7290.6521.000
요일0.2910.4520.4340.1930.1900.7671.0000.4910.3200.4790.5570.5400.5961.000
시간0.3730.5800.5530.2380.3880.3240.4911.0000.0000.4110.4700.4050.4631.000
수강료0.6370.1430.0000.4200.0000.2650.3200.0001.0000.7000.0460.2960.7881.000
강의실0.6820.4140.3730.5320.7850.6150.4790.4110.7001.0000.7400.6760.7561.000
모집공고일0.5500.6310.6220.2900.5170.7300.5570.4700.0460.7401.0000.7760.7841.000
모집공고종료일0.5920.7200.7150.3630.6380.7290.5400.4050.2960.6760.7761.0000.7151.000
작성일0.7850.5970.5710.4570.7480.6520.5960.4630.7880.7560.7840.7151.0001.000
매주1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T17:46:04.473475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:46:04.774139image/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.
2023-12-12T17:46:04.959892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번강좌명현황수강총원온라인신청예비신청강좌시작일강좌종료일요일시간수강료강의실강좌설명모집공고일모집공고종료일작성일매주
01(토요)영어 그림책 놀이 2-3접수8852020-03-072020-05-09,,,,,,토11:00-12:00무료1층 어린이자료실영어 그림책 스토리텔링 및 활동2020-02-132020-02-162020-02-06매주
12[문화강좌] 서예접수151552021-09-062021-11-29,월,,,,,10:00-12:00무료대강좌실 또는 온라인강좌전통서예기법과 표현을 익히고 나아가 현대적 표현의 창작력을 기름 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
23[문화강좌] 아크릴화접수151552021-09-062021-11-29,월,,,,,10:00-12:00무료소강좌실 또는 온라인강좌아크릴물감을 이해하고 기초표현과 다양한 표현방법을 익힘 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
34[문화강좌] 문인화접수151552021-09-062021-11-29,,화,,,,10:00-12:00무료대강좌실 또는 온라인강좌매화, 난, 국화, 대나무의 사군자를 기초로 한 문인화 수련 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
45[문화강좌] 유화접수151552021-09-062021-11-29,,화,,,,10:00-12:00무료소강좌실 또는 온라인강좌재료의 종류와 사용법, 구도잡기, 도형 스케치, 색 변화 알기 등을 익혀감 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
56[문화강좌] 부모책놀이와 동화구연접수151552021-09-062021-11-29,,,수,,,10:00-12:00무료소강좌실 또는 온라인강좌스토리텔링의 뜻 알기, 아이를 위한 책놀이, 동화구연 방법을 익힘 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
67[문화강좌] 민화접수151552021-09-062021-11-29,,,수,,,10:00-12:00무료대강좌실 또는 온라인강좌민족의 정서가 흐르는 우리그림을 그려 봄으로써 한국적 미를 알아감 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
78[문화강좌] 연필화접수151552021-09-062021-11-29,,,,목,,10:00-12:00무료대강좌실 또는 온라인강좌연필 잡는 법에서부터 선 표현법, 다양한 모양, 정물 소묘 등 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
89[문화강좌] 알기쉬운 약초교실접수151552021-09-062021-11-29,,,수,,,14:00-16:00무료소강좌실 또는 온라인강좌약초의 기본적인 지식을 알고 효험과 활용방법에 대해 익힘 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
910[문화강좌] 신비로운 타로세계접수151552021-09-062021-11-29,,화,,,,14:00-16:00무료대강좌실 또는 온라인강좌타로카드 기본 지식과 타로 카드의 의미와 상징을 알아보고 활용해 봄 ※코로나 단계조정에 따라 대면 또는 비대면 강좌로 변경되거나 취소될수 있음2021-08-172021-08-252020-02-09매주
연번강좌명현황수강총원온라인신청예비신청강좌시작일강좌종료일요일시간수강료강의실강좌설명모집공고일모집공고종료일작성일매주
188189<5060신중년 아카데미> 플랜테리어접수151552021-10-072021-10-28,,,,목,,14:00-16:00무료ZOOM 온라인 화상강의- 플랜테리어의 기초와 원리 - 식물의 분류와 이해 - 식물의 실내외 연출 - 식물 디자인해보기2021-09-072021-09-262021-09-06매주
1891909월 상상나래 창작특강<지두화로 그려봐요! 앙리 마티스>접수101022021-09-262021-09-26일,,,,,,14:00-16:00무료화상회의 프로그램(zoom)을 이용한 비대면 수업- 준비물: 12색 아크릴 물감, 앞치마, 물티슈, 신문지 - 미리 화상회의 프로그램(zoom)에 가입해주세요. - 수업을 들을 아이이름으로 신청해주세요. - 수강생 모집 완료 시 회의링크와 준비물 수령날짜를 문자로 알려드립니다.2021-09-092021-09-152021-09-07<NA>
190191다문화 인식개선 인형극[내친구 번개야]접수151532021-09-182021-09-18,,,,,,토14:00-15:30무료성산도서관 지하 1층 성산홀외국인 엄마를 둔 번개의 성장과정을 그린 다문화 가정 인식개선 인형극2021-09-092021-09-172021-09-07<NA>
191192장진화 작가 특강(찾아가는 창원의 책 작가 릴레이 특강)접수303022021-10-022021-10-02,,,,,,토14:00-16:00무료3층 3강의실- 선착순, 신청자 1인당 1아이디 접수(필수!!) - 체험행사 준비되어 있습니다.(내 마음을 반짝이는 물고기 썬캐쳐 만들기) - 작가님의 책을 읽고 오시면 더 깊은 강연을 즐기실 수 있습니다~2021-09-152021-09-262021-09-07<NA>
192193[성산인문학]유럽의 역사와 문화, 예술로 읽다.접수151552021-09-292021-10-27,,,수,,,14:30-16:30무료성산홀1강 유럽의 예술, 어떻게 이해할 것인가. 2강 예술 작품으로 보는 그리스 신화와 전설 3강 바티칸에서 미켈란젤로를 만나다 - <천지창조>와 <최후의 심판> 4강 예술 작품으로 보는 성서 속 영웅 이야기 5강 혁명의 시대, 신고전주의와 낭만주의가 충돌하다.2021-09-142021-09-232021-09-07매주
193194<작가특강>강현순 작가 초청 특강접수202052021-09-282021-09-28,,화,,,,14:00-16:00무료4층 다목적홀강의주제 : 수필, 어떻게 쓸 것인가 - 바른문장쓰기 - 틀리기 쉬운 한글 맞춤법 - 퇴고의 중요성 - 독창성 있는 글쓰기 - 등단에 대한 정보2021-09-072021-09-232021-09-07<NA>
194195책놀이 On 9월 프로그램 『쿠키 한 입의 인생수업』15~16시접수8822021-09-262021-09-26일,,,,,,15:00-16:00무료온라인 플랫폼쿠키 한입의 인생수업을 읽고 쿠키속에 담겨진 가치와 개념들을 쿠키 펜으로 나타내기 *수업재료는 의창도서관 어린이자료실에서 배부(배부일자는 개인문자 발송예정)2021-09-142021-09-192021-09-09<NA>
195196[다자녀]책놀이 On『쿠키 한입의 인생수업』14시~15시접수2202021-09-262021-09-26일,,,,,,14:00-15:00무료온라인 플랫폼쿠키 한입의 인생수업을 읽고 쿠키속에 담겨진 가치와 개념들을 쿠키 펜으로 나타내기 *수업재료는 의창도서관 어린이자료실에서 배부(배부일자는 개인문자 발송예정)2021-09-142021-09-192021-09-09<NA>
196197[다자녀]책놀이 On『쿠키 한입의 인생수업』15시~16시접수2202021-09-262021-09-26일,,,,,,15:00-16:00무료온라인 플랫폼쿠키 한입의 인생수업을 읽고 쿠키속에 담겨진 가치와 개념들을 쿠키 펜으로 나타내기 *수업재료는 의창도서관 어린이자료실에서 배부(배부일자는 개인문자 발송예정)2021-09-142021-09-192021-09-09<NA>
197198[성산 동화구연] 9월 25일 아이맘그림책놀이터 (비대면 동화구연)접수101022021-09-252021-09-25,,,,,,토11:00-11:40무료비대면 수업동화구연 도서: 프레드릭/레오 리오니/시공주니어 진행방법: 동화구연 + 책놀이 활동 (키트 배부) 안내사항: 키트 배부 및 비대면 수업에 관한 내용은 창원시 알림 카톡으로 안내2021-09-162021-09-172021-09-15<NA>