Overview

Dataset statistics

Number of variables15
Number of observations100
Missing cells300
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory128.3 B

Variable types

Numeric3
Text1
DateTime4
Unsupported3
Categorical4

Alerts

work_time has constant value ""Constant
content has constant value ""Constant
no is highly overall correlated with placeHigh correlation
lib_code is highly overall correlated with place and 1 other fieldsHigh correlation
place is highly overall correlated with no and 1 other fieldsHigh correlation
target is highly overall correlated with lib_codeHigh correlation
price has 100 (100.0%) missing valuesMissing
teacher_code has 100 (100.0%) missing valuesMissing
remark has 100 (100.0%) missing valuesMissing
no has unique valuesUnique
price is an unsupported type, check if it needs cleaning or further analysisUnsupported
teacher_code is an unsupported type, check if it needs cleaning or further analysisUnsupported
remark is an unsupported type, check if it needs cleaning or further analysisUnsupported
user_limit has 10 (10.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:16:23.491616
Analysis finished2023-12-10 10:16:26.293018
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11543.22
Minimum10545
Maximum42215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:16:26.374761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10545
5-th percentile10549.95
Q110570.75
median10596.5
Q310621.25
95-th percentile10641.05
Maximum42215
Range31670
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation5421.1054
Coefficient of variation (CV)0.46963546
Kurtosis29.895998
Mean11543.22
Median Absolute Deviation (MAD)25.5
Skewness5.5944083
Sum1154322
Variance29388384
MonotonicityNot monotonic
2023-12-10T19:16:26.562019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10545 1
 
1.0%
10608 1
 
1.0%
10618 1
 
1.0%
10617 1
 
1.0%
10616 1
 
1.0%
10615 1
 
1.0%
10614 1
 
1.0%
10613 1
 
1.0%
10612 1
 
1.0%
10611 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
10545 1
1.0%
10546 1
1.0%
10547 1
1.0%
10548 1
1.0%
10549 1
1.0%
10550 1
1.0%
10552 1
1.0%
10553 1
1.0%
10554 1
1.0%
10555 1
1.0%
ValueCountFrequency (%)
42215 1
1.0%
42214 1
1.0%
42213 1
1.0%
10643 1
1.0%
10642 1
1.0%
10641 1
1.0%
10640 1
1.0%
10639 1
1.0%
10638 1
1.0%
10637 1
1.0%

lib_code
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4764.92
Minimum4502
Maximum29987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:16:26.702596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4502
5-th percentile4502
Q14502
median4514
Q34514
95-th percentile4529
Maximum29987
Range25485
Interquartile range (IQR)12

Descriptive statistics

Standard deviation2547.6983
Coefficient of variation (CV)0.53467808
Kurtosis99.997829
Mean4764.92
Median Absolute Deviation (MAD)12
Skewness9.9998388
Sum476492
Variance6490766.5
MonotonicityNot monotonic
2023-12-10T19:16:26.832809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4514 45
45.0%
4502 43
43.0%
4529 9
 
9.0%
4511 1
 
1.0%
4517 1
 
1.0%
29987 1
 
1.0%
ValueCountFrequency (%)
4502 43
43.0%
4511 1
 
1.0%
4514 45
45.0%
4517 1
 
1.0%
4529 9
 
9.0%
29987 1
 
1.0%
ValueCountFrequency (%)
29987 1
 
1.0%
4529 9
 
9.0%
4517 1
 
1.0%
4514 45
45.0%
4511 1
 
1.0%
4502 43
43.0%

title
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:16:27.145073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length40
Mean length31.18
Min length7

Characters and Unicode

Total characters3118
Distinct characters328
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.0%

Sample

1st row상형문자로 배우는 고대 이집트 문명
2nd row[12월 문화가 있는 날] 생각하고 분석하는 초등논술
3rd row물어보기 부끄러운 스마트폰 활용법 심화편_시니어 스마트폰 활용멘토 되기
4th row내가 만드는 인공지능
5th row도서관 명화산책 11기_프랑스 미술과 역사2
ValueCountFrequency (%)
2021 30
 
4.4%
24
 
3.5%
동아리 12
 
1.7%
함께 11
 
1.6%
독서동아리 11
 
1.6%
프로그램 11
 
1.6%
채우는 10
 
1.5%
일상을 10
 
1.5%
데일리 10
 
1.5%
필사클럽 10
 
1.5%
Other values (344) 548
79.8%
2023-12-10T19:16:27.768949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
 
18.8%
2 86
 
2.8%
[ 72
 
2.3%
] 72
 
2.3%
서 59
 
1.9%
1 54
 
1.7%
는 54
 
1.7%
기 52
 
1.7%
리 46
 
1.5%
0 43
 
1.4%
Other values (318) 1993
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1958
62.8%
Space Separator 587
 
18.8%
Decimal Number 230
 
7.4%
Open Punctuation 91
 
2.9%
Close Punctuation 91
 
2.9%
Other Punctuation 37
 
1.2%
Uppercase Letter 36
 
1.2%
Lowercase Letter 35
 
1.1%
Dash Punctuation 28
 
0.9%
Math Symbol 16
 
0.5%
Other values (3) 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 59
 
3.0%
는 54
 
2.8%
기 52
 
2.7%
리 46
 
2.3%
아 38
 
1.9%
의 37
 
1.9%
로 34
 
1.7%
그 31
 
1.6%
학 30
 
1.5%
동 29
 
1.5%
Other values (255) 1548
79.1%
Uppercase Letter
ValueCountFrequency (%)
R 6
16.7%
A 5
13.9%
S 4
11.1%
V 4
11.1%
T 4
11.1%
E 3
8.3%
L 2
 
5.6%
I 2
 
5.6%
O 1
 
2.8%
C 1
 
2.8%
Other values (4) 4
11.1%
Lowercase Letter
ValueCountFrequency (%)
r 6
17.1%
e 4
11.4%
a 4
11.4%
i 4
11.4%
t 3
8.6%
l 2
 
5.7%
b 2
 
5.7%
c 2
 
5.7%
y 2
 
5.7%
k 2
 
5.7%
Other values (4) 4
11.4%
Decimal Number
ValueCountFrequency (%)
2 86
37.4%
1 54
23.5%
0 43
18.7%
4 10
 
4.3%
3 8
 
3.5%
5 7
 
3.0%
6 6
 
2.6%
8 6
 
2.6%
9 6
 
2.6%
7 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 10
27.0%
' 8
21.6%
, 7
18.9%
! 5
13.5%
& 2
 
5.4%
? 2
 
5.4%
/ 2
 
5.4%
· 1
 
2.7%
Other Number
ValueCountFrequency (%)
③ 1
20.0%
① 1
20.0%
⑤ 1
20.0%
④ 1
20.0%
② 1
20.0%
Math Symbol
ValueCountFrequency (%)
~ 9
56.2%
> 3
 
18.8%
< 3
 
18.8%
× 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
[ 72
79.1%
( 19
 
20.9%
Close Punctuation
ValueCountFrequency (%)
] 72
79.1%
) 19
 
20.9%
Space Separator
ValueCountFrequency (%)
587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1957
62.8%
Common 1088
34.9%
Latin 72
 
2.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 59
 
3.0%
는 54
 
2.8%
기 52
 
2.7%
리 46
 
2.4%
아 38
 
1.9%
의 37
 
1.9%
로 34
 
1.7%
그 31
 
1.6%
학 30
 
1.5%
동 29
 
1.5%
Other values (254) 1547
79.0%
Common
ValueCountFrequency (%)
587
54.0%
2 86
 
7.9%
[ 72
 
6.6%
] 72
 
6.6%
1 54
 
5.0%
0 43
 
4.0%
- 28
 
2.6%
) 19
 
1.7%
( 19
 
1.7%
: 10
 
0.9%
Other values (24) 98
 
9.0%
Latin
ValueCountFrequency (%)
R 6
 
8.3%
r 6
 
8.3%
A 5
 
6.9%
e 4
 
5.6%
S 4
 
5.6%
V 4
 
5.6%
a 4
 
5.6%
i 4
 
5.6%
T 4
 
5.6%
E 3
 
4.2%
Other values (19) 28
38.9%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1957
62.8%
ASCII 1152
36.9%
Enclosed Alphanum 5
 
0.2%
None 2
 
0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
587
51.0%
2 86
 
7.5%
[ 72
 
6.2%
] 72
 
6.2%
1 54
 
4.7%
0 43
 
3.7%
- 28
 
2.4%
) 19
 
1.6%
( 19
 
1.6%
: 10
 
0.9%
Other values (45) 162
 
14.1%
Hangul
ValueCountFrequency (%)
서 59
 
3.0%
는 54
 
2.8%
기 52
 
2.7%
리 46
 
2.4%
아 38
 
1.9%
의 37
 
1.9%
로 34
 
1.7%
그 31
 
1.6%
학 30
 
1.5%
동 29
 
1.5%
Other values (254) 1547
79.0%
Enclosed Alphanum
ValueCountFrequency (%)
③ 1
20.0%
① 1
20.0%
⑤ 1
20.0%
④ 1
20.0%
② 1
20.0%
None
ValueCountFrequency (%)
× 1
50.0%
· 1
50.0%
CJK
ValueCountFrequency (%)
多 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

from_date
Date

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-01-11 12:00:00
Maximum2021-12-09 12:00:00
2023-12-10T19:16:27.951436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:28.102974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

to_date
Date

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-01-16 12:00:00
Maximum2021-12-27 12:00:00
2023-12-10T19:16:28.250313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:28.420483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

user_limit
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.63
Minimum0
Maximum200
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:16:28.565055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median15
Q330
95-th percentile61
Maximum200
Range200
Interquartile range (IQR)24

Descriptive statistics

Standard deviation26.675625
Coefficient of variation (CV)1.2332698
Kurtosis20.851914
Mean21.63
Median Absolute Deviation (MAD)9
Skewness3.8685458
Sum2163
Variance711.58899
MonotonicityNot monotonic
2023-12-10T19:16:29.017360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30 17
17.0%
6 13
13.0%
15 12
12.0%
20 11
11.0%
0 10
10.0%
10 8
8.0%
12 8
8.0%
50 4
 
4.0%
5 2
 
2.0%
8 2
 
2.0%
Other values (12) 13
13.0%
ValueCountFrequency (%)
0 10
10.0%
2 1
 
1.0%
5 2
 
2.0%
6 13
13.0%
8 2
 
2.0%
9 1
 
1.0%
10 8
8.0%
12 8
8.0%
13 1
 
1.0%
15 12
12.0%
ValueCountFrequency (%)
200 1
 
1.0%
100 2
 
2.0%
90 1
 
1.0%
80 1
 
1.0%
60 1
 
1.0%
50 4
 
4.0%
40 1
 
1.0%
36 1
 
1.0%
30 17
17.0%
27 1
 
1.0%

from_work_date
Date

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-01-04 12:00:00
Maximum2021-12-28 12:00:00
2023-12-10T19:16:29.197155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:29.371384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

to_work_date
Date

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-01-27 12:00:00
Maximum2021-12-31 12:00:00
2023-12-10T19:16:29.667464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:29.856981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

price
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

teacher_code
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

remark
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

place
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
온라인 화상회의 플랫폼 'ZOOM'
18 
ZOOM (토론), 네이버카페 (필사)
9 
<NA>
9 
온라인 (ZOOM)
6 
줌을 활용한 비대면 수업
 
5
Other values (30)
53 

Length

Max length34
Median length28
Mean length17.9
Min length3

Unique

Unique19 ?
Unique (%)19.0%

Sample

1st row<NA>
2nd rowZOOM 실시간 화상 강의
3rd row도서관 다목적강의실
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
온라인 화상회의 플랫폼 'ZOOM' 18
18.0%
ZOOM (토론), 네이버카페 (필사) 9
 
9.0%
<NA> 9
 
9.0%
온라인 (ZOOM) 6
 
6.0%
줌을 활용한 비대면 수업 5
 
5.0%
정다운도서관 5
 
5.0%
정다운도서관 혹은 온라인 화상회의 줌(ZOOM) 4
 
4.0%
줌(Zoom)을 활용한 비대면 수업 4
 
4.0%
논현도서관 프로그램실 (상황에 따라 비대면 진행) 4
 
4.0%
줌(ZOOM)을 활용한 비대면 진행 3
 
3.0%
Other values (25) 33
33.0%

Length

2023-12-10T19:16:30.050471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온라인 38
 
10.0%
zoom 38
 
10.0%
논현도서관 26
 
6.8%
비대면 25
 
6.6%
화상회의 24
 
6.3%
진행 22
 
5.8%
플랫폼 20
 
5.3%
프로그램실 17
 
4.5%
활용한 14
 
3.7%
수업 11
 
2.9%
Other values (45) 145
38.2%

work_time
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:16:30.256041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:16:30.351149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

target
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
성인
37 
누구나
9 
초등 4~6학년
 
4
초등학생 3-4학년
 
4
초등학생 5-6학년
 
3
Other values (38)
43 

Length

Max length48
Median length46
Mean length8.15
Min length2

Unique

Unique33 ?
Unique (%)33.0%

Sample

1st row초등 4~6학년
2nd row초등학생 4~5학년
3rd row65세 이상 성인(1-3기 수강자 중 희망자)
4th row초등 4~6학년
5th row성인

Common Values

ValueCountFrequency (%)
성인 37
37.0%
누구나 9
 
9.0%
초등 4~6학년 4
 
4.0%
초등학생 3-4학년 4
 
4.0%
초등학생 5-6학년 3
 
3.0%
초등학생 1-2학년 2
 
2.0%
6~7세 2
 
2.0%
초등 1-2학년 2
 
2.0%
초등 5-6학년 2
 
2.0%
초등 4-6학년 2
 
2.0%
Other values (33) 33
33.0%

Length

2023-12-10T19:16:30.471125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성인 42
 
18.9%
초등 16
 
7.2%
초등학생 12
 
5.4%
누구나 11
 
5.0%
3-4학년 6
 
2.7%
5-6학년 6
 
2.7%
5
 
2.3%
1-2학년 5
 
2.3%
학부모 4
 
1.8%
4~6학년 4
 
1.8%
Other values (85) 111
50.0%

content
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
정보없음
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 100
100.0%

Length

2023-12-10T19:16:30.663531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:16:30.784536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 100
100.0%

Interactions

2023-12-10T19:16:25.608993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:24.950057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.297569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.711190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.036466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.395883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.815728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.137755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:16:25.495358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:16:30.868903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
nolib_codetitlefrom_dateto_dateuser_limitfrom_work_dateto_work_dateplacetarget
no1.0000.3591.0001.0001.0000.0141.0000.0001.0000.752
lib_code0.3591.0001.0001.0001.0000.0001.0001.0001.0001.000
title1.0001.0001.0000.9930.9871.0000.9970.9980.9981.000
from_date1.0001.0000.9931.0000.9850.9360.0000.0000.9550.000
to_date1.0001.0000.9870.9851.0000.9840.8420.7790.6970.000
user_limit0.0140.0001.0000.9360.9841.0000.0000.0000.4600.000
from_work_date1.0001.0000.9970.0000.8420.0001.0000.9400.9450.981
to_work_date0.0001.0000.9980.0000.7790.0000.9401.0000.0000.986
place1.0001.0000.9980.9550.6970.4600.9450.0001.0000.944
target0.7521.0001.0000.0000.0000.0000.9810.9860.9441.000
2023-12-10T19:16:31.027052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
targetplace
target1.0000.446
place0.4461.000
2023-12-10T19:16:31.128366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
nolib_codeuser_limitplacetarget
no1.0000.2680.0560.8000.494
lib_code0.2681.0000.2250.8000.763
user_limit0.0560.2251.0000.2470.000
place0.8000.8000.2471.0000.446
target0.4940.7630.0000.4461.000

Missing values

2023-12-10T19:16:25.975622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:16:26.218194image/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

nolib_codetitlefrom_dateto_dateuser_limitfrom_work_dateto_work_datepriceteacher_coderemarkplacework_timetargetcontent
0105454529상형문자로 배우는 고대 이집트 문명2021-09-27 12:00:00.02021-10-17 12:00:00.0202021-10-18 12:00:00.02021-11-15 12:00:00.0<NA><NA><NA><NA>0초등 4~6학년정보없음
1422134511[12월 문화가 있는 날] 생각하고 분석하는 초등논술2021-11-27 12:00:00.02021-12-27 12:00:00.082021-12-28 12:00:00.02021-12-28 12:00:00.0<NA><NA><NA>ZOOM 실시간 화상 강의0초등학생 4~5학년정보없음
2105464529물어보기 부끄러운 스마트폰 활용법 심화편_시니어 스마트폰 활용멘토 되기2021-10-13 12:00:00.02021-10-27 12:00:00.052021-10-28 12:00:00.02021-11-25 12:00:00.0<NA><NA><NA>도서관 다목적강의실065세 이상 성인(1-3기 수강자 중 희망자)정보없음
3105474529내가 만드는 인공지능2021-11-01 12:00:00.02021-11-01 12:00:00.0202021-11-01 12:00:00.02021-12-01 12:00:00.0<NA><NA><NA><NA>0초등 4~6학년정보없음
4105484529도서관 명화산책 11기_프랑스 미술과 역사22021-10-18 12:00:00.02021-11-04 12:00:00.0502021-11-05 12:00:00.02021-12-24 12:00:00.0<NA><NA><NA><NA>0성인정보없음
5105494529슬기로운 쓰레기 생활 : 그건 쓰레기가 아니라고요2021-10-25 12:00:00.02021-11-07 12:00:00.0502021-11-08 12:00:00.02021-11-08 12:00:00.0<NA><NA><NA><NA>0누구나정보없음
6105504529자기주도학습이 있는 멘토링 2기2021-11-01 12:00:00.02021-11-07 12:00:00.0302021-11-20 12:00:00.02021-11-20 12:00:00.0<NA><NA><NA><NA>0대학생, 청소년정보없음
7422144517[한도서관 한책읽기] 함께 살아간다는 것 : 인문사회과학 책방 풀무질2021-12-09 12:00:00.02021-12-09 12:00:00.0402021-11-29 12:00:00.02021-12-08 12:00:00.0<NA><NA><NA><NA>0성인정보없음
81055245022021년도 PETA와 함께하는 영어 그림책 읽기2021-01-25 12:00:00.02021-02-05 12:00:00.0202021-02-06 12:00:00.02021-12-18 12:00:00.0<NA><NA><NA>논현도서관 프로그램실 (도서관 휴관시 zoom이용)0초등학교 저학년정보없음
9105534502도서관에서 발견한 한국사2021-01-14 12:00:00.02021-11-01 12:00:00.0122021-02-04 12:00:00.02021-04-15 12:00:00.0<NA><NA><NA>논현도서관 프로그램실 (휴관시, 온라인 강의 진행)0초등 4~6학년정보없음
nolib_codetitlefrom_dateto_dateuser_limitfrom_work_dateto_work_datepriceteacher_coderemarkplacework_timetargetcontent
90106344514[초등 독서동아리] 10-11월 북코치와 함께 하는 비경쟁 토론 (5~6학년)2021-09-29 12:00:00.02021-10-06 12:00:00.062021-10-17 12:00:00.02021-11-14 12:00:00.0<NA><NA><NA>온라인 화상회의 플랫폼 'ZOOM'0초등학생 5-6학년정보없음
911063545142021 데일리 필사클럽 시즌8 - 일상을 채우는 문장들2021-09-29 12:00:00.02021-10-08 12:00:00.0302021-10-13 12:00:00.02021-10-29 12:00:00.0<NA><NA><NA>ZOOM (토론), 네이버카페 (필사)0성인정보없음
92106364514[2021 강남구 한책읽기]- <무해한 하루를 시작하는 너에게> 신지혜 작가와의 만남2021-10-06 12:00:00.02021-10-18 12:00:00.01002021-10-19 12:00:00.02021-10-19 12:00:00.0<NA><NA><NA>온라인 화상회의 플랫폼 'ZOOM'0강남구 성인정보없음
93106374514[도서관에서 그림읽기] 유럽역사와 함께하는 프랑스 미술 IV2021-10-27 12:00:00.02021-10-30 12:00:00.0902021-11-03 12:00:00.02021-12-22 12:00:00.0<NA><NA><NA>온라인 (ZOOM)0성인정보없음
941063845142021 데일리 필사클럽 시즌8 - 일상을 채우는 문장들2021-10-28 12:00:00.02021-11-05 12:00:00.0302021-11-08 12:00:00.02021-11-26 12:00:00.0<NA><NA><NA>ZOOM (토론), 네이버카페 (필사)0성인정보없음
95106394514[북스타트][온라인] 그림책으로 키우는 우리 아이 감정코치2021-11-01 12:00:00.02021-11-18 12:00:00.0202021-11-19 12:00:00.02021-12-03 12:00:00.0<NA><NA><NA>온라인 화상회의 플랫폼 'ZOOM'0성인정보없음
96106404514[온라인] 그림과 글이 만나는 예술에세이2021-11-01 12:00:00.02021-11-11 12:00:00.0202021-11-15 12:00:00.02021-12-20 12:00:00.0<NA><NA><NA>온라인 화상회의 플랫폼 'ZOOM'0성인정보없음
97106414529세바작(세상을 바꾸는 작가와의 만남) 제1회_나는 매일 도서관에 가는 엄마입니다2021-01-11 12:00:00.02021-01-26 12:00:00.0302021-01-27 12:00:00.02021-01-27 12:00:00.0<NA><NA><NA><NA>0성인정보없음
98106424529읽고 기록하고 만드는 독서 브이로거 도전기2021-01-18 12:00:00.02021-01-31 12:00:00.0122021-02-01 12:00:00.02021-02-22 12:00:00.0<NA><NA><NA><NA>0초등 4~6학년정보없음
99106434529우리아이 독서 포트폴리오 만들기2021-01-18 12:00:00.02021-02-02 12:00:00.0202021-02-03 12:00:00.02021-02-24 12:00:00.0<NA><NA><NA><NA>0성인정보없음