Overview

Dataset statistics

Number of variables11
Number of observations23
Missing cells5
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory99.7 B

Variable types

Text2
Categorical4
Numeric2
Boolean1
DateTime2

Dataset

Description경기도 광주시 미래교육협력지원센터(구 혁신교육협력지원센터) 운영 자료실에 관한 데이터로 제목, 조회수, 수정일, 등록일 등의 항목을 제공합니다.
Author경기도 광주시
URLhttps://www.data.go.kr/data/15122625/fileData.do

Alerts

비밀글 has constant value ""Constant
공지 has constant value ""Constant
댓글수 has constant value ""Constant
사용유무 has constant value ""Constant
조회수 is highly overall correlated with 글번호High correlation
글번호 is highly overall correlated with 조회수 and 1 other fieldsHigh correlation
문서타입 is highly overall correlated with 글번호High correlation
문서타입 is highly imbalanced (57.4%)Imbalance
수정일 has 5 (21.7%) missing valuesMissing
제목 has unique valuesUnique
홈페이지주소 has unique valuesUnique
글번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:46:52.745891
Analysis finished2023-12-12 06:46:53.754363
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:46:53.936394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length40
Mean length26
Min length15

Characters and Unicode

Total characters598
Distinct characters151
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row역사탐방 체험처영상 - 허난설헌묘 -
2nd row환경시설탐방 체험처 영상 -광주수도지사-
3rd row환경시설탐방 체험처 영상 -경안하수처리장-
4th row[영상자료] 남한산성(Ver.1)
5th row[영상자료] 남한산성(Ver.2)
ValueCountFrequency (%)
교육영상 13
 
12.9%
역사탐방 7
 
6.9%
7
 
6.9%
생태탐방 3
 
3.0%
지역의 3
 
3.0%
탐방 3
 
3.0%
마을배움터 2
 
2.0%
시청·시의회 2
 
2.0%
홍보영상 2
 
2.0%
공공기관탐방 2
 
2.0%
Other values (52) 57
56.4%
2023-12-12T15:46:54.344603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
13.0%
- 36
 
6.0%
22
 
3.7%
21
 
3.5%
21
 
3.5%
18
 
3.0%
18
 
3.0%
18
 
3.0%
14
 
2.3%
11
 
1.8%
Other values (141) 341
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
69.9%
Space Separator 78
 
13.0%
Dash Punctuation 36
 
6.0%
Lowercase Letter 23
 
3.8%
Other Punctuation 11
 
1.8%
Open Punctuation 8
 
1.3%
Close Punctuation 8
 
1.3%
Math Symbol 5
 
0.8%
Uppercase Letter 4
 
0.7%
Decimal Number 4
 
0.7%
Other values (3) 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
5.3%
21
 
5.0%
21
 
5.0%
18
 
4.3%
18
 
4.3%
18
 
4.3%
14
 
3.3%
11
 
2.6%
11
 
2.6%
10
 
2.4%
Other values (105) 254
60.8%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
r 3
13.0%
t 2
 
8.7%
y 2
 
8.7%
d 2
 
8.7%
s 1
 
4.3%
a 1
 
4.3%
i 1
 
4.3%
n 1
 
4.3%
p 1
 
4.3%
Other values (4) 4
17.4%
Other Punctuation
ValueCountFrequency (%)
. 3
27.3%
· 2
18.2%
# 2
18.2%
, 2
18.2%
! 1
 
9.1%
& 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
V 2
50.0%
F 1
25.0%
D 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 5
62.5%
[ 3
37.5%
Close Punctuation
ValueCountFrequency (%)
) 5
62.5%
] 3
37.5%
Math Symbol
ValueCountFrequency (%)
| 4
80.0%
~ 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
69.9%
Common 152
 
25.4%
Latin 28
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
5.3%
21
 
5.0%
21
 
5.0%
18
 
4.3%
18
 
4.3%
18
 
4.3%
14
 
3.3%
11
 
2.6%
11
 
2.6%
10
 
2.4%
Other values (105) 254
60.8%
Common
ValueCountFrequency (%)
78
51.3%
- 36
23.7%
( 5
 
3.3%
) 5
 
3.3%
| 4
 
2.6%
[ 3
 
2.0%
. 3
 
2.0%
] 3
 
2.0%
· 2
 
1.3%
# 2
 
1.3%
Other values (8) 11
 
7.2%
Latin
ValueCountFrequency (%)
e 5
17.9%
r 3
 
10.7%
t 2
 
7.1%
y 2
 
7.1%
d 2
 
7.1%
V 2
 
7.1%
1
 
3.6%
s 1
 
3.6%
F 1
 
3.6%
a 1
 
3.6%
Other values (8) 8
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
69.9%
ASCII 175
29.3%
None 2
 
0.3%
Punctuation 2
 
0.3%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
44.6%
- 36
20.6%
( 5
 
2.9%
) 5
 
2.9%
e 5
 
2.9%
| 4
 
2.3%
[ 3
 
1.7%
. 3
 
1.7%
] 3
 
1.7%
r 3
 
1.7%
Other values (22) 30
 
17.1%
Hangul
ValueCountFrequency (%)
22
 
5.3%
21
 
5.0%
21
 
5.0%
18
 
4.3%
18
 
4.3%
18
 
4.3%
14
 
3.3%
11
 
2.6%
11
 
2.6%
10
 
2.4%
Other values (105) 254
60.8%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

홈페이지주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T15:46:54.631503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length42
Min length28

Characters and Unicode

Total characters966
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/watch?v=mqFVBSkWbhE
2nd rowhttps://www.youtube.com/watch?v=wIfh2SmLjsg
3rd rowhttps://www.youtube.com/watch?v=Gxyx5UKzPSU
4th rowhttps://youtu.be/0kOU5qLYN0s
5th rowhttps://youtu.be/Qn7Bt9GDXJo
ValueCountFrequency (%)
https://www.youtube.com/watch?v=mqfvbskwbhe 1
 
4.3%
https://www.youtube.com/watch?v=gqzinhyr1hc 1
 
4.3%
https://www.youtube.com/watch?v=xfyzoz5r150 1
 
4.3%
https://www.youtube.com/watch?v=gqwxatwxa8u 1
 
4.3%
https://www.youtube.com/watch?v=0ik4xhmrg3m 1
 
4.3%
https://www.youtube.com/watch?v=efywfbgscvy 1
 
4.3%
https://www.youtube.com/watch?v=f85ivxqdzpa 1
 
4.3%
https://www.youtube.com/watch?v=go2hgrblbwg 1
 
4.3%
https://www.youtube.com/watch?v=-tr2iijn6s0 1
 
4.3%
https://www.youtube.com/watch?v=nqgrnqulfsk 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T15:46:55.091494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 93
 
9.6%
w 84
 
8.7%
/ 70
 
7.2%
h 50
 
5.2%
u 49
 
5.1%
c 47
 
4.9%
o 46
 
4.8%
. 45
 
4.7%
s 30
 
3.1%
b 29
 
3.0%
Other values (58) 423
43.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 641
66.4%
Other Punctuation 160
 
16.6%
Uppercase Letter 101
 
10.5%
Decimal Number 40
 
4.1%
Math Symbol 21
 
2.2%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 93
14.5%
w 84
13.1%
h 50
 
7.8%
u 49
 
7.6%
c 47
 
7.3%
o 46
 
7.2%
s 30
 
4.7%
b 29
 
4.5%
y 27
 
4.2%
e 26
 
4.1%
Other values (16) 160
25.0%
Uppercase Letter
ValueCountFrequency (%)
Q 7
 
6.9%
U 7
 
6.9%
I 6
 
5.9%
L 6
 
5.9%
S 6
 
5.9%
B 6
 
5.9%
R 6
 
5.9%
X 5
 
5.0%
Y 5
 
5.0%
A 4
 
4.0%
Other values (15) 43
42.6%
Decimal Number
ValueCountFrequency (%)
5 11
27.5%
0 7
17.5%
2 5
12.5%
1 4
 
10.0%
3 3
 
7.5%
9 3
 
7.5%
8 3
 
7.5%
6 2
 
5.0%
7 1
 
2.5%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 70
43.8%
. 45
28.1%
: 23
 
14.4%
? 21
 
13.1%
& 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 742
76.8%
Common 224
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 93
 
12.5%
w 84
 
11.3%
h 50
 
6.7%
u 49
 
6.6%
c 47
 
6.3%
o 46
 
6.2%
s 30
 
4.0%
b 29
 
3.9%
y 27
 
3.6%
e 26
 
3.5%
Other values (41) 261
35.2%
Common
ValueCountFrequency (%)
/ 70
31.2%
. 45
20.1%
: 23
 
10.3%
? 21
 
9.4%
= 21
 
9.4%
5 11
 
4.9%
0 7
 
3.1%
2 5
 
2.2%
1 4
 
1.8%
- 3
 
1.3%
Other values (7) 14
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 93
 
9.6%
w 84
 
8.7%
/ 70
 
7.2%
h 50
 
5.2%
u 49
 
5.1%
c 47
 
4.9%
o 46
 
4.8%
. 45
 
4.7%
s 30
 
3.1%
b 29
 
3.0%
Other values (58) 423
43.8%

비밀글
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-12T15:46:55.259407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:46:55.345784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

문서타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2
21 
0
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 21
91.3%
0 2
 
8.7%

Length

2023-12-12T15:46:55.453949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:46:55.881847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 21
91.3%
0 2
 
8.7%

공지
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-12T15:46:55.991988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:46:56.091256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.26087
Minimum92
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:46:56.182206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile94.2
Q1116.5
median177
Q3264.5
95-th percentile325.4
Maximum330
Range238
Interquartile range (IQR)148

Descriptive statistics

Standard deviation82.750016
Coefficient of variation (CV)0.42817781
Kurtosis-1.5389422
Mean193.26087
Median Absolute Deviation (MAD)74
Skewness0.2455575
Sum4445
Variance6847.5652
MonotonicityNot monotonic
2023-12-12T15:46:56.326311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
110 2
 
8.7%
329 1
 
4.3%
127 1
 
4.3%
172 1
 
4.3%
92 1
 
4.3%
96 1
 
4.3%
198 1
 
4.3%
116 1
 
4.3%
94 1
 
4.3%
126 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
92 1
4.3%
94 1
4.3%
96 1
4.3%
110 2
8.7%
116 1
4.3%
117 1
4.3%
126 1
4.3%
127 1
4.3%
129 1
4.3%
172 1
4.3%
ValueCountFrequency (%)
330 1
4.3%
329 1
4.3%
293 1
4.3%
281 1
4.3%
280 1
4.3%
265 1
4.3%
264 1
4.3%
263 1
4.3%
251 1
4.3%
225 1
4.3%

댓글수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

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 23
100.0%

Length

2023-12-12T15:46:56.470696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:46:56.550953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
23 
ValueCountFrequency (%)
True 23
100.0%
2023-12-12T15:46:56.614471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

글번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.782609
Minimum12
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T15:46:56.693277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13.1
Q158.5
median65
Q371.5
95-th percentile75.9
Maximum77
Range65
Interquartile range (IQR)13

Descriptive statistics

Standard deviation20.716608
Coefficient of variation (CV)0.35852671
Kurtosis0.81451061
Mean57.782609
Median Absolute Deviation (MAD)7
Skewness-1.4286319
Sum1329
Variance429.17787
MonotonicityStrictly increasing
2023-12-12T15:46:56.810958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12 1
 
4.3%
13 1
 
4.3%
77 1
 
4.3%
76 1
 
4.3%
75 1
 
4.3%
74 1
 
4.3%
73 1
 
4.3%
72 1
 
4.3%
71 1
 
4.3%
70 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
12 1
4.3%
13 1
4.3%
14 1
4.3%
35 1
4.3%
36 1
4.3%
58 1
4.3%
59 1
4.3%
60 1
4.3%
61 1
4.3%
62 1
4.3%
ValueCountFrequency (%)
77 1
4.3%
76 1
4.3%
75 1
4.3%
74 1
4.3%
73 1
4.3%
72 1
4.3%
71 1
4.3%
70 1
4.3%
69 1
4.3%
68 1
4.3%

수정일
Date

MISSING 

Distinct12
Distinct (%)66.7%
Missing5
Missing (%)21.7%
Memory size316.0 B
Minimum2021-02-24 14:45:00
Maximum2022-01-04 09:24:00
2023-12-12T15:46:56.921625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:57.023016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2020-10-27 20:17:00
Maximum2022-01-04 09:22:00
2023-12-12T15:46:57.116559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:57.223732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

Interactions

2023-12-12T15:46:53.284824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:53.104124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:53.366775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:46:53.194483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:46:57.306553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목홈페이지주소문서타입조회수글번호수정일등록일
제목1.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.000
문서타입1.0001.0001.0000.0001.0001.0001.000
조회수1.0001.0000.0001.0000.6890.7950.475
글번호1.0001.0001.0000.6891.0000.8981.000
수정일1.0001.0001.0000.7950.8981.0000.939
등록일1.0001.0001.0000.4751.0000.9391.000
2023-12-12T15:46:57.407056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조회수글번호문서타입
조회수1.000-0.8100.000
글번호-0.8101.0000.926
문서타입0.0000.9261.000

Missing values

2023-12-12T15:46:53.528755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:46:53.687592image/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

제목홈페이지주소비밀글문서타입공지조회수댓글수사용유무글번호수정일등록일
0역사탐방 체험처영상 - 허난설헌묘 -https://www.youtube.com/watch?v=mqFVBSkWbhE0203290Y122021-12-23 17:072020-10-27 20:17
1환경시설탐방 체험처 영상 -광주수도지사-https://www.youtube.com/watch?v=wIfh2SmLjsg0202510Y132021-12-23 16:512020-10-27 20:19
2환경시설탐방 체험처 영상 -경안하수처리장-https://www.youtube.com/watch?v=Gxyx5UKzPSU0202630Y142021-12-23 16:512020-11-03 09:11
3[영상자료] 남한산성(Ver.1)https://youtu.be/0kOU5qLYN0s0003300Y352021-02-24 14:452020-12-17 10:30
4[영상자료] 남한산성(Ver.2)https://youtu.be/Qn7Bt9GDXJo0002810Y362021-02-24 14:452020-12-17 10:35
5생태탐방 교육영상 -경안천습지생태공원-https://www.youtube.com/watch?v=2a-VefqNQlo0202800Y582021-12-23 17:082021-02-24 14:42
6생태탐방 교육영상 -광동리 청정습지공원-https://www.youtube.com/watch?v=YK5ALKcjLfc0202250Y592021-12-23 16:522021-02-24 14:43
7역사탐방 교육영상 -신립장군묘-https://www.youtube.com/watch?v=1nctYdgFMz00202930Y602021-12-23 17:082021-02-24 14:43
8역사탐방 교육영상 -신익희생가-https://www.youtube.com/watch?v=1ez9twmBvQM0202640Y612021-12-23 16:522021-02-24 14:44
9역사탐방 교육영상 -최항선생묘-https://www.youtube.com/watch?v=E6fHq5OBkZQ0202650Y622021-12-23 16:512021-02-24 14:44
제목홈페이지주소비밀글문서타입공지조회수댓글수사용유무글번호수정일등록일
13지역 곳곳 누비는 ‘혁신교육지구’ 탐방https://www.youtube.com/watch?v=Db3j59QUnuI0201290Y68<NA>2021-12-23 16:31
14[혁신교육지구 탐방프로그램] 지역의 힘으로 지역의 아이들을 키운다~!https://www.youtube.com/watch?v=nqgRnqULfsk0201260Y69<NA>2021-12-23 16:32
15시청·시의회 탐방 교육영상 -광주시청-https://www.youtube.com/watch?v=-TR2IIjn6S00201100Y702022-01-04 09:162022-01-04 08:49
16시청·시의회 탐방 교육영상 -광주시의회-https://www.youtube.com/watch?v=gO2hGrbLBWg020940Y712022-01-04 09:162022-01-04 08:55
17공공기관탐방 교육영상 -광주시선거관리위원회, 광주시법원, 경기광주우체국-https://www.youtube.com/watch?v=f85ivxQdZPA0201160Y722022-01-04 09:172022-01-04 09:08
18공공기관탐방 교육영상 -광주하남교육지원청-https://www.youtube.com/watch?v=efyWfbgScvY0201980Y732022-01-04 09:242022-01-04 09:11
19생태탐방 교육영상 -경안천습지생태공원Ⅱ-https://www.youtube.com/watch?v=0Ik4XhmRg3M020960Y742022-01-04 09:152022-01-04 09:14
20역사탐방 교육영상 -안정복선생묘-https://www.youtube.com/watch?v=GqwxATwXA8U020920Y75<NA>2022-01-04 09:18
21역사탐방 교육영상 -맹사성선생묘-https://www.youtube.com/watch?v=XFyzOz5R1500201100Y76<NA>2022-01-04 09:20
22역사탐방 교육영상 -정충묘-https://www.youtube.com/watch?v=NXSUH5BZZ-00201720Y77<NA>2022-01-04 09:22