Overview

Dataset statistics

Number of variables10
Number of observations69
Missing cells64
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory83.9 B

Variable types

Text3
DateTime3
Categorical2
Numeric2

Dataset

Description경기도 군포시 도서관의 문화행사에 대한 데이터로 행사명, 시작일자, 종료일자, 접수시작일시, 접수종료일시, 대상, 장소, 비용, 강사, 정원 항목을 제공합니다.
Author경기도 군포시
URLhttps://www.data.go.kr/data/15070278/fileData.do

Alerts

비용 is highly overall correlated with 정원High correlation
정원 is highly overall correlated with 비용High correlation
접수시작일시 has 3 (4.3%) missing valuesMissing
접수종료일시 has 3 (4.3%) missing valuesMissing
비용 has 57 (82.6%) missing valuesMissing
정원 has 1 (1.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:09:44.755961
Analysis finished2023-12-12 11:09:47.881713
Duration3.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사명
Text

Distinct66
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T20:09:48.396848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length27
Mean length16.985507
Min length7

Characters and Unicode

Total characters1172
Distinct characters264
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)91.3%

Sample

1st row북트레일러 : 독서, 영상의 날개를 달다
2nd row유튜브 크리에이터
3rd row아이와 함께 종이놀이 4~5세
4th row아이와 함께 종이놀이 6~7세
5th row영어 그림책을 함께 읽어요
ValueCountFrequency (%)
행사 8
 
2.7%
독서회 7
 
2.4%
특강 6
 
2.0%
달 6
 
2.0%
독서의 6
 
2.0%
읽기 5
 
1.7%
릴레이 5
 
1.7%
재능기부 5
 
1.7%
지역작가 5
 
1.7%
함께 4
 
1.4%
Other values (202) 238
80.7%
2023-12-12T20:09:49.355989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
19.3%
이 31
 
2.6%
서 24
 
2.0%
기 23
 
2.0%
독 19
 
1.6%
책 19
 
1.6%
의 19
 
1.6%
로 15
 
1.3%
사 15
 
1.3%
스 13
 
1.1%
Other values (254) 768
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 872
74.4%
Space Separator 226
 
19.3%
Other Punctuation 29
 
2.5%
Math Symbol 16
 
1.4%
Close Punctuation 10
 
0.9%
Open Punctuation 10
 
0.9%
Decimal Number 5
 
0.4%
Uppercase Letter 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 31
 
3.6%
서 24
 
2.8%
기 23
 
2.6%
독 19
 
2.2%
책 19
 
2.2%
의 19
 
2.2%
로 15
 
1.7%
사 15
 
1.7%
스 13
 
1.5%
세 12
 
1.4%
Other values (227) 682
78.2%
Other Punctuation
ValueCountFrequency (%)
" 12
41.4%
, 9
31.0%
? 3
 
10.3%
: 3
 
10.3%
! 1
 
3.4%
& 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
8 1
20.0%
7 1
20.0%
4 1
20.0%
5 1
20.0%
6 1
20.0%
Close Punctuation
ValueCountFrequency (%)
] 5
50.0%
) 2
 
20.0%
》 2
 
20.0%
』 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
[ 5
50.0%
( 2
 
20.0%
《 2
 
20.0%
『 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
< 7
43.8%
> 7
43.8%
~ 2
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
X 1
33.3%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 870
74.2%
Common 297
 
25.3%
Latin 3
 
0.3%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 31
 
3.6%
서 24
 
2.8%
기 23
 
2.6%
독 19
 
2.2%
책 19
 
2.2%
의 19
 
2.2%
로 15
 
1.7%
사 15
 
1.7%
스 13
 
1.5%
세 12
 
1.4%
Other values (225) 680
78.2%
Common
ValueCountFrequency (%)
226
76.1%
" 12
 
4.0%
, 9
 
3.0%
< 7
 
2.4%
> 7
 
2.4%
] 5
 
1.7%
[ 5
 
1.7%
? 3
 
1.0%
: 3
 
1.0%
( 2
 
0.7%
Other values (14) 18
 
6.1%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
X 1
33.3%
Han
ValueCountFrequency (%)
季 1
50.0%
四 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 870
74.2%
ASCII 294
 
25.1%
None 6
 
0.5%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
76.9%
" 12
 
4.1%
, 9
 
3.1%
< 7
 
2.4%
> 7
 
2.4%
] 5
 
1.7%
[ 5
 
1.7%
? 3
 
1.0%
: 3
 
1.0%
( 2
 
0.7%
Other values (13) 15
 
5.1%
Hangul
ValueCountFrequency (%)
이 31
 
3.6%
서 24
 
2.8%
기 23
 
2.6%
독 19
 
2.2%
책 19
 
2.2%
의 19
 
2.2%
로 15
 
1.7%
사 15
 
1.7%
스 13
 
1.5%
세 12
 
1.4%
Other values (225) 680
78.2%
None
ValueCountFrequency (%)
》 2
33.3%
《 2
33.3%
』 1
16.7%
『 1
16.7%
CJK
ValueCountFrequency (%)
季 1
50.0%
四 1
50.0%

시작일자
Date

Distinct63
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2022-01-03 17:00:00
Maximum2022-10-17 10:00:00
2023-12-12T20:09:49.674351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:49.976481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일자
Text

Distinct65
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T20:09:50.405666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters1104
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)88.4%

Sample

1st row2022-08-30 21:00
2nd row2022-08-25 21:00
3rd row2022-12-05 17:30
4th row2022-12-50 16:20
5th row2022-11-30 15:30
ValueCountFrequency (%)
12:00 17
 
12.3%
18:00 12
 
8.7%
16:30 7
 
5.1%
17:30 7
 
5.1%
16:00 4
 
2.9%
2022-05-25 4
 
2.9%
2022-05-24 4
 
2.9%
11:30 4
 
2.9%
21:00 4
 
2.9%
20:30 3
 
2.2%
Other values (54) 72
52.2%
2023-12-12T20:09:51.119501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 288
26.1%
0 252
22.8%
- 138
12.5%
1 113
 
10.2%
69
 
6.2%
: 69
 
6.2%
3 41
 
3.7%
8 29
 
2.6%
6 28
 
2.5%
5 26
 
2.4%
Other values (3) 51
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 828
75.0%
Dash Punctuation 138
 
12.5%
Space Separator 69
 
6.2%
Other Punctuation 69
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 288
34.8%
0 252
30.4%
1 113
 
13.6%
3 41
 
5.0%
8 29
 
3.5%
6 28
 
3.4%
5 26
 
3.1%
9 21
 
2.5%
7 16
 
1.9%
4 14
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Other Punctuation
ValueCountFrequency (%)
: 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 288
26.1%
0 252
22.8%
- 138
12.5%
1 113
 
10.2%
69
 
6.2%
: 69
 
6.2%
3 41
 
3.7%
8 29
 
2.6%
6 28
 
2.5%
5 26
 
2.4%
Other values (3) 51
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 288
26.1%
0 252
22.8%
- 138
12.5%
1 113
 
10.2%
69
 
6.2%
: 69
 
6.2%
3 41
 
3.7%
8 29
 
2.6%
6 28
 
2.5%
5 26
 
2.4%
Other values (3) 51
 
4.6%

접수시작일시
Date

MISSING 

Distinct20
Distinct (%)30.3%
Missing3
Missing (%)4.3%
Memory size684.0 B
Minimum2021-12-20 09:00:00
Maximum2022-09-26 09:00:00
2023-12-12T20:09:51.368197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:51.628707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

접수종료일시
Date

MISSING 

Distinct22
Distinct (%)33.3%
Missing3
Missing (%)4.3%
Memory size684.0 B
Minimum2021-12-27 23:59:00
Maximum2022-10-04 18:00:00
2023-12-12T20:09:51.855843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:52.087205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

대상
Categorical

Distinct22
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
시민
11 
성인
9 
초등5~6
8 
초등3~4
6 
초등1~2
5 
Other values (17)
30 

Length

Max length15
Median length12
Mean length4.6666667
Min length2

Unique

Unique7 ?
Unique (%)10.1%

Sample

1st row청소년, 성인
2nd row청소년, 성인
3rd row4~5세+보호자
4th row6~7세+보호자
5th row초등1~2

Common Values

ValueCountFrequency (%)
시민 11
15.9%
성인 9
13.0%
초등5~6 8
11.6%
초등3~4 6
 
8.7%
초등1~2 5
 
7.2%
청소년, 성인 3
 
4.3%
6~7세+보호자 3
 
4.3%
흥진고 학생 3
 
4.3%
초1~2 2
 
2.9%
학부모 2
 
2.9%
Other values (12) 17
24.6%

Length

2023-12-12T20:09:52.353677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성인 12
14.8%
시민 11
13.6%
초등5~6 8
 
9.9%
초등3~4 6
 
7.4%
초등1~2 5
 
6.2%
청소년 4
 
4.9%
학부모 4
 
4.9%
6~7세+보호자 3
 
3.7%
흥진고 3
 
3.7%
학생 3
 
3.7%
Other values (14) 22
27.2%

장소
Categorical

Distinct5
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size684.0 B
온라인(ZOOM)
33 
4층 문화강좌실
31 
4층 문화강좌실+탐방
 
2
온라인(유튜브)
 
2
산본로데오거리 농협건물 B1
 
1

Length

Max length15
Median length11
Mean length8.6666667
Min length8

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row온라인(ZOOM)
2nd row온라인(ZOOM)
3rd row4층 문화강좌실
4th row4층 문화강좌실
5th row4층 문화강좌실

Common Values

ValueCountFrequency (%)
온라인(ZOOM) 33
47.8%
4층 문화강좌실 31
44.9%
4층 문화강좌실+탐방 2
 
2.9%
온라인(유튜브) 2
 
2.9%
산본로데오거리 농협건물 B1 1
 
1.4%

Length

2023-12-12T20:09:52.602596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:09:52.841806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인(zoom 33
31.7%
4층 33
31.7%
문화강좌실 31
29.8%
문화강좌실+탐방 2
 
1.9%
온라인(유튜브 2
 
1.9%
산본로데오거리 1
 
1.0%
농협건물 1
 
1.0%
b1 1
 
1.0%

비용
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)58.3%
Missing57
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean18750
Minimum5000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T20:09:53.064654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile5550
Q19000
median22500
Q328500
95-th percentile30000
Maximum30000
Range25000
Interquartile range (IQR)19500

Descriptive statistics

Standard deviation10497.835
Coefficient of variation (CV)0.55988455
Kurtosis-1.9736231
Mean18750
Median Absolute Deviation (MAD)7500
Skewness-0.23871993
Sum225000
Variance1.1020455 × 108
MonotonicityNot monotonic
2023-12-12T20:09:53.289212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
30000 3
 
4.3%
25000 2
 
2.9%
10000 2
 
2.9%
6000 2
 
2.9%
5000 1
 
1.4%
20000 1
 
1.4%
28000 1
 
1.4%
(Missing) 57
82.6%
ValueCountFrequency (%)
5000 1
 
1.4%
6000 2
2.9%
10000 2
2.9%
20000 1
 
1.4%
25000 2
2.9%
28000 1
 
1.4%
30000 3
4.3%
ValueCountFrequency (%)
30000 3
4.3%
28000 1
 
1.4%
25000 2
2.9%
20000 1
 
1.4%
10000 2
2.9%
6000 2
2.9%
5000 1
 
1.4%

강사
Text

Distinct49
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-12T20:09:53.655440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length3
Mean length3.4492754
Min length2

Characters and Unicode

Total characters238
Distinct characters72
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

Unique36 ?
Unique (%)52.2%

Sample

1st row최용훈
2nd row한미경
3rd row이경희
4th row이경희
5th row민정원
ValueCountFrequency (%)
이경희 5
 
6.6%
이시영 3
 
3.9%
황미선 3
 
3.9%
우응순 3
 
3.9%
박영대 3
 
3.9%
오은희 3
 
3.9%
안성순 3
 
3.9%
최현정 2
 
2.6%
박홍선 2
 
2.6%
유현경 2
 
2.6%
Other values (43) 47
61.8%
2023-12-12T20:09:54.366685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 15
 
6.3%
영 14
 
5.9%
희 11
 
4.6%
경 11
 
4.6%
박 10
 
4.2%
김 9
 
3.8%
현 8
 
3.4%
진 7
 
2.9%
정 7
 
2.9%
7
 
2.9%
Other values (62) 139
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
94.5%
Space Separator 7
 
2.9%
Other Punctuation 6
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 15
 
6.7%
영 14
 
6.2%
희 11
 
4.9%
경 11
 
4.9%
박 10
 
4.4%
김 9
 
4.0%
현 8
 
3.6%
진 7
 
3.1%
정 7
 
3.1%
은 7
 
3.1%
Other values (60) 126
56.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
94.5%
Common 13
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 15
 
6.7%
영 14
 
6.2%
희 11
 
4.9%
경 11
 
4.9%
박 10
 
4.4%
김 9
 
4.0%
현 8
 
3.6%
진 7
 
3.1%
정 7
 
3.1%
은 7
 
3.1%
Other values (60) 126
56.0%
Common
ValueCountFrequency (%)
7
53.8%
, 6
46.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
94.5%
ASCII 13
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 15
 
6.7%
영 14
 
6.2%
희 11
 
4.9%
경 11
 
4.9%
박 10
 
4.4%
김 9
 
4.0%
현 8
 
3.6%
진 7
 
3.1%
정 7
 
3.1%
은 7
 
3.1%
Other values (60) 126
56.0%
ASCII
ValueCountFrequency (%)
7
53.8%
, 6
46.2%

정원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)14.7%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean21.558824
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2023-12-12T20:09:54.592943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q115
median15
Q330
95-th percentile30
Maximum100
Range90
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.921557
Coefficient of variation (CV)0.59936281
Kurtosis19.93184
Mean21.558824
Median Absolute Deviation (MAD)3
Skewness3.7262567
Sum1466
Variance166.96664
MonotonicityNot monotonic
2023-12-12T20:09:54.827540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
15 29
42.0%
30 18
26.1%
20 6
 
8.7%
12 6
 
8.7%
50 2
 
2.9%
10 2
 
2.9%
19 2
 
2.9%
25 1
 
1.4%
16 1
 
1.4%
100 1
 
1.4%
(Missing) 1
 
1.4%
ValueCountFrequency (%)
10 2
 
2.9%
12 6
 
8.7%
15 29
42.0%
16 1
 
1.4%
19 2
 
2.9%
20 6
 
8.7%
25 1
 
1.4%
30 18
26.1%
50 2
 
2.9%
100 1
 
1.4%
ValueCountFrequency (%)
100 1
 
1.4%
50 2
 
2.9%
30 18
26.1%
25 1
 
1.4%
20 6
 
8.7%
19 2
 
2.9%
16 1
 
1.4%
15 29
42.0%
12 6
 
8.7%
10 2
 
2.9%

Interactions

2023-12-12T20:09:46.322879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:45.963804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:46.508739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:09:46.129115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:09:54.999204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사명시작일자종료일자접수시작일시접수종료일시대상장소비용강사정원
행사명1.0000.9550.9650.9520.9671.0000.9491.0001.0001.000
시작일자0.9551.0000.9991.0001.0000.9051.0000.9510.9470.000
종료일자0.9650.9991.0001.0001.0000.9441.0000.9510.9830.000
접수시작일시0.9521.0001.0001.0001.0000.4551.0000.7870.9040.855
접수종료일시0.9671.0001.0001.0001.0000.0001.0000.7870.9270.776
대상1.0000.9050.9440.4550.0001.0000.0000.0000.8770.640
장소0.9491.0001.0001.0001.0000.0001.0000.4350.7590.797
비용1.0000.9510.9510.7870.7870.0000.4351.0000.0000.000
강사1.0000.9470.9830.9040.9270.8770.7590.0001.0000.836
정원1.0000.0000.0000.8550.7760.6400.7970.0000.8361.000
2023-12-12T20:09:55.254542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소대상
장소1.0000.000
대상0.0001.000
2023-12-12T20:09:55.366672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용정원대상장소
비용1.0000.5270.0000.453
정원0.5271.0000.2910.432
대상0.0000.2911.0000.000
장소0.4530.4320.0001.000

Missing values

2023-12-12T20:09:46.703758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:09:46.972529image/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.
2023-12-12T20:09:47.768828image/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

행사명시작일자종료일자접수시작일시접수종료일시대상장소비용강사정원
0북트레일러 : 독서, 영상의 날개를 달다2022-08-09 19:002022-08-30 21:002022-07-18 10:002022-07-27 18:00청소년, 성인온라인(ZOOM)<NA>최용훈15
1유튜브 크리에이터2022-08-04 19:002022-08-25 21:002022-07-18 10:002022-07-27 18:00청소년, 성인온라인(ZOOM)<NA>한미경15
2아이와 함께 종이놀이 4~5세2022-09-19 16:302022-12-05 17:302022-08-29 09:002022-09-02 23:594~5세+보호자4층 문화강좌실25000이경희15
3아이와 함께 종이놀이 6~7세2022-09-19 15:202022-12-50 16:202022-08-29 09:002022-09-02 23:596~7세+보호자4층 문화강좌실25000이경희15
4영어 그림책을 함께 읽어요2022-09-28 14:002022-11-30 15:302022-08-29 09:002022-09-02 23:59초등1~24층 문화강좌실<NA>민정원15
5별별 미디어 하브루타로 읽기2022-09-21 15:002022-11-23 16:302022-08-29 09:002022-09-02 23:59초등3~44층 문화강좌실<NA>장수정15
6책 속에 세계사가 쏙쏙2022-09-20 16:302022-11-22 18:002022-08-29 09:002022-09-02 23:59초등5~64층 문화강좌실5000황미선15
7책으로 읽는 공감소통 대화법2022-09-20 10:002022-11-22 12:002022-08-29 09:002022-09-02 23:59성인4층 문화강좌실<NA>박홍선20
8어떻게 읽히지 우리 아이 책습관 세워주기2022-10-17 10:002022-12-05 11:302022-08-29 09:002022-09-02 23:59성인4층 문화강좌실<NA>안성순<NA>
9독서캐릭터X웹툰 스피치2022-08-08 09:002022-08-11 12:302022-07-11 09:002022-07-24 23:59초등5~6온라인(ZOOM)<NA>이규찬25
행사명시작일자종료일자접수시작일시접수종료일시대상장소비용강사정원
59<독서의 달 행사> 타로카드로 마음 읽기2022-09-06 10:002022-09-27 12:002022-08-16 10:002022-08-23 18:00시민4층 문화강좌실<NA>박서연30
60[도서관주간 행사] 내 마음 쓰담쓰담 인형 만들기2022-04-12 09:002022-04-30 23:592022-03-29 10:002022-04-03 18:00시민온라인(유튜브)<NA>김진희100
61[도서관주간 행사] 행복을 엮는 힐링 라탄 공예2022-04-12 09:002022-04-30 23:592022-03-29 10:002022-04-03 18:00시민온라인(유튜브)<NA>김유지50
62청소년 독서회2022-03-03 17:302022-06-16 19:002022-02-07 10:002022-02-17 18:00중고생온라인(ZOOM)<NA>오은희15
63책가방 독서회2022-03-02 17:002022-06-22 18:302022-02-07 10:002022-02-17 18:00초5~6온라인(ZOOM)<NA>장은아15
64책너나들이 독서회2022-03-08 15:002022-06-14 16:302022-02-07 10:002022-02-17 18:00초3~4온라인(ZOOM)<NA>황미선12
65마중물 독서회2022-03-07 15:002022-06-27 16:302022-02-07 10:002022-02-17 18:00초1~2온라인(ZOOM)<NA>최현정12
66책가방 독서회2022-08-24 17:002022-11-30 18:302022-08-01 10:002022-08-11 18:00초5~64층 문화강좌실<NA>장은아15
67책너나들이 독서회2022-08-23 15:002022-11-29 16:302022-08-01 10:002022-08-11 18:00초3~44층 문화강좌실<NA>황미선12
68마중물 독서회2022-08-22 15:002022-12-19 16:302022-08-01 10:002022-08-11 18:00초1~24층 문화강좌실<NA>최현정12