Overview

Dataset statistics

Number of variables8
Number of observations363
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory68.4 B

Variable types

Numeric3
Text2
Categorical3

Dataset

Description온라인 교육프로그램에 대한 교육과정 유형, 과제, 진도, 수강자 이용현황 등과 같은 정보입니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15072271/fileData.do

Alerts

다운로드수 has constant value ""Constant
파일유형 is highly overall correlated with 첨부파일용량 and 1 other fieldsHigh correlation
파일종류 is highly overall correlated with 첨부파일용량 and 1 other fieldsHigh correlation
첨부파일용량 is highly overall correlated with 파일유형 and 1 other fieldsHigh correlation
파일유형 is highly imbalanced (62.6%)Imbalance
파일종류 is highly imbalanced (64.9%)Imbalance
파일경로 has unique valuesUnique
첨부파일용량 has 18 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-12 10:13:14.939859
Analysis finished2023-12-12 10:13:16.791756
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

게시물번호
Real number (ℝ)

Distinct341
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.7135
Minimum1
Maximum1002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:13:16.885359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.1
Q1100.5
median191
Q3297.5
95-th percentile384.9
Maximum1002
Range1001
Interquartile range (IQR)197

Descriptive statistics

Standard deviation134.93621
Coefficient of variation (CV)0.66564983
Kurtosis8.2558264
Mean202.7135
Median Absolute Deviation (MAD)99
Skewness1.6776557
Sum73585
Variance18207.78
MonotonicityNot monotonic
2023-12-12T19:13:17.030865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324 3
 
0.8%
263 2
 
0.6%
273 2
 
0.6%
262 2
 
0.6%
53 2
 
0.6%
310 2
 
0.6%
311 2
 
0.6%
260 2
 
0.6%
328 2
 
0.6%
303 2
 
0.6%
Other values (331) 342
94.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
12 1
0.3%
ValueCountFrequency (%)
1002 1
0.3%
1001 1
0.3%
1000 1
0.3%
451 1
0.3%
400 1
0.3%
398 1
0.3%
397 1
0.3%
396 1
0.3%
395 1
0.3%
394 1
0.3%

파일일련번호
Real number (ℝ)

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.476584
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:13:17.161463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1805876
Coefficient of variation (CV)0.79953977
Kurtosis20.656068
Mean1.476584
Median Absolute Deviation (MAD)0
Skewness4.1026097
Sum536
Variance1.3937872
MonotonicityNot monotonic
2023-12-12T19:13:17.259493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 269
74.1%
2 68
 
18.7%
4 17
 
4.7%
5 2
 
0.6%
9 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
3 1
 
0.3%
10 1
 
0.3%
ValueCountFrequency (%)
1 269
74.1%
2 68
 
18.7%
3 1
 
0.3%
4 17
 
4.7%
5 2
 
0.6%
7 2
 
0.6%
8 1
 
0.3%
9 2
 
0.6%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
9 2
 
0.6%
8 1
 
0.3%
7 2
 
0.6%
5 2
 
0.6%
4 17
 
4.7%
3 1
 
0.3%
2 68
 
18.7%
1 269
74.1%

논리파일명
Text

Distinct350
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T19:13:17.425821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length40.520661
Min length5

Characters and Unicode

Total characters14709
Distinct characters220
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)92.8%

Sample

1st row1.jpg
2nd row20150507_170112.jpg
3rd row썸네일 이미지.PNG
4th row팝업_대.jpg
5th row공부의왕도특강.jpg
ValueCountFrequency (%)
00 14
 
2.9%
교육정책 9
 
1.9%
설명회 6
 
1.2%
대전_찾아가는 5
 
1.0%
2018 5
 
1.0%
2018-10-10 4
 
0.8%
찾아가는 4
 
0.8%
2018-09-14 3
 
0.6%
tv동화 3
 
0.6%
2018-09-29 3
 
0.6%
Other values (396) 425
88.4%
2023-12-12T19:13:17.756204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 1044
 
7.1%
1 910
 
6.2%
4 786
 
5.3%
a 753
 
5.1%
0 712
 
4.8%
p 608
 
4.1%
2 589
 
4.0%
8 574
 
3.9%
3 560
 
3.8%
5 541
 
3.7%
Other values (210) 7632
51.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6246
42.5%
Lowercase Letter 5749
39.1%
Connector Punctuation 1044
 
7.1%
Other Letter 644
 
4.4%
Other Punctuation 444
 
3.0%
Uppercase Letter 368
 
2.5%
Space Separator 118
 
0.8%
Dash Punctuation 50
 
0.3%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 43
 
6.7%
부 35
 
5.4%
육 32
 
5.0%
상 24
 
3.7%
아 14
 
2.2%
정 14
 
2.2%
가 13
 
2.0%
는 13
 
2.0%
동 12
 
1.9%
학 12
 
1.9%
Other values (150) 432
67.1%
Lowercase Letter
ValueCountFrequency (%)
a 753
13.1%
p 608
10.6%
m 537
9.3%
d 535
9.3%
c 532
9.3%
e 527
9.2%
b 524
9.1%
f 504
8.8%
g 331
5.8%
j 329
5.7%
Other values (12) 569
9.9%
Uppercase Letter
ValueCountFrequency (%)
W 256
69.6%
G 22
 
6.0%
P 14
 
3.8%
V 11
 
3.0%
M 11
 
3.0%
T 10
 
2.7%
J 9
 
2.4%
I 8
 
2.2%
D 5
 
1.4%
B 4
 
1.1%
Other values (8) 18
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 910
14.6%
4 786
12.6%
0 712
11.4%
2 589
9.4%
8 574
9.2%
3 560
9.0%
5 541
8.7%
6 540
8.6%
7 528
8.5%
9 506
8.1%
Other Punctuation
ValueCountFrequency (%)
. 442
99.5%
; 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 16
72.7%
( 6
 
27.3%
Close Punctuation
ValueCountFrequency (%)
] 16
72.7%
) 6
 
27.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1044
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7948
54.0%
Latin 6117
41.6%
Hangul 644
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 43
 
6.7%
부 35
 
5.4%
육 32
 
5.0%
상 24
 
3.7%
아 14
 
2.2%
정 14
 
2.2%
가 13
 
2.0%
는 13
 
2.0%
동 12
 
1.9%
학 12
 
1.9%
Other values (150) 432
67.1%
Latin
ValueCountFrequency (%)
a 753
12.3%
p 608
9.9%
m 537
8.8%
d 535
8.7%
c 532
8.7%
e 527
8.6%
b 524
8.6%
f 504
8.2%
g 331
 
5.4%
j 329
 
5.4%
Other values (30) 937
15.3%
Common
ValueCountFrequency (%)
_ 1044
13.1%
1 910
11.4%
4 786
9.9%
0 712
9.0%
2 589
7.4%
8 574
7.2%
3 560
7.0%
5 541
6.8%
6 540
6.8%
7 528
6.6%
Other values (10) 1164
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14065
95.6%
Hangul 644
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 1044
 
7.4%
1 910
 
6.5%
4 786
 
5.6%
a 753
 
5.4%
0 712
 
5.1%
p 608
 
4.3%
2 589
 
4.2%
8 574
 
4.1%
3 560
 
4.0%
5 541
 
3.8%
Other values (50) 6988
49.7%
Hangul
ValueCountFrequency (%)
교 43
 
6.7%
부 35
 
5.4%
육 32
 
5.0%
상 24
 
3.7%
아 14
 
2.2%
정 14
 
2.2%
가 13
 
2.0%
는 13
 
2.0%
동 12
 
1.9%
학 12
 
1.9%
Other values (150) 432
67.1%

파일경로
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T19:13:18.051461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length80
Mean length80.69697
Min length62

Characters and Unicode

Total characters29293
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)100.0%

Sample

1st row/open_content/upload/leconline/LecOnlineController/2015/01/29/14225138923510.jpg
2nd row/open_content/upload/leconline/LecOnlineController/2015/05/07/14309861539010.jpg
3rd row/open_content/upload/leconline/LecOnlineController/2015/08/07/14389093130790.PNG
4th row/open_content/upload/leconline/LecOnlineController/2015/09/09/UP1441762767_.jpg
5th row/open_content/upload/leconline/LecOnlineController/2015/10/15/UP_1444899215.jpg
ValueCountFrequency (%)
open_content/upload/leconline/leconlinecontroller/2015/01/29/14225138923510.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342312837210.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342312347830.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342312085600.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342311759250.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342311502000.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342311266910.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342311026200.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342310758350.jpg 1
 
0.3%
open_content/upload/leconline/leconlinecontroller/2012/04/12/13342310493620.jpg 1
 
0.3%
Other values (353) 353
97.2%
2023-12-12T19:13:18.541908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2904
 
9.9%
n 2796
 
9.5%
e 2469
 
8.4%
o 2106
 
7.2%
l 2088
 
7.1%
0 1511
 
5.2%
1 1302
 
4.4%
2 1163
 
4.0%
3 1145
 
3.9%
t 1107
 
3.8%
Other values (35) 10702
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16336
55.8%
Decimal Number 7943
27.1%
Other Punctuation 3355
 
11.5%
Uppercase Letter 1207
 
4.1%
Connector Punctuation 452
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2796
17.1%
e 2469
15.1%
o 2106
12.9%
l 2088
12.8%
t 1107
 
6.8%
p 1086
 
6.6%
c 1081
 
6.6%
i 729
 
4.5%
r 726
 
4.4%
a 418
 
2.6%
Other values (12) 1730
10.6%
Decimal Number
ValueCountFrequency (%)
0 1511
19.0%
1 1302
16.4%
2 1163
14.6%
3 1145
14.4%
4 799
10.1%
5 425
 
5.4%
6 416
 
5.2%
9 412
 
5.2%
8 410
 
5.2%
7 360
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
O 345
28.6%
L 345
28.6%
C 345
28.6%
P 63
 
5.2%
U 53
 
4.4%
N 20
 
1.7%
W 18
 
1.5%
G 10
 
0.8%
J 8
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 2904
86.6%
. 433
 
12.9%
: 18
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 452
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17543
59.9%
Common 11750
40.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2796
15.9%
e 2469
14.1%
o 2106
12.0%
l 2088
11.9%
t 1107
 
6.3%
p 1086
 
6.2%
c 1081
 
6.2%
i 729
 
4.2%
r 726
 
4.1%
a 418
 
2.4%
Other values (21) 2937
16.7%
Common
ValueCountFrequency (%)
/ 2904
24.7%
0 1511
12.9%
1 1302
11.1%
2 1163
9.9%
3 1145
 
9.7%
4 799
 
6.8%
_ 452
 
3.8%
. 433
 
3.7%
5 425
 
3.6%
6 416
 
3.5%
Other values (4) 1200
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2904
 
9.9%
n 2796
 
9.5%
e 2469
 
8.4%
o 2106
 
7.2%
l 2088
 
7.1%
0 1511
 
5.2%
1 1302
 
4.4%
2 1163
 
4.0%
3 1145
 
3.9%
t 1107
 
3.8%
Other values (35) 10702
36.5%

첨부파일용량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct318
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3008212.6
Minimum0
Maximum99274956
Zeros18
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T19:13:18.693711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5181.9
Q124318
median38335
Q359023.5
95-th percentile17781467
Maximum99274956
Range99274956
Interquartile range (IQR)34705.5

Descriptive statistics

Standard deviation13399054
Coefficient of variation (CV)4.454158
Kurtosis28.171765
Mean3008212.6
Median Absolute Deviation (MAD)16001
Skewness5.1979273
Sum1.0919812 × 109
Variance1.7953465 × 1014
MonotonicityNot monotonic
2023-12-12T19:13:18.860130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
5.0%
38592017 3
 
0.8%
366037 3
 
0.8%
145359 2
 
0.6%
34932 2
 
0.6%
32848 2
 
0.6%
57624 2
 
0.6%
13276 2
 
0.6%
1284657 2
 
0.6%
44888 2
 
0.6%
Other values (308) 325
89.5%
ValueCountFrequency (%)
0 18
5.0%
4759 1
 
0.3%
8988 1
 
0.3%
9414 1
 
0.3%
10322 1
 
0.3%
10675 1
 
0.3%
11151 1
 
0.3%
12617 1
 
0.3%
12991 2
 
0.6%
13276 2
 
0.6%
ValueCountFrequency (%)
99274956 1
0.3%
94645044 2
0.6%
82976675 1
0.3%
73164014 1
0.3%
70700474 1
0.3%
70532224 1
0.3%
50578450 1
0.3%
47076129 1
0.3%
46782669 1
0.3%
42331593 1
0.3%

파일유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
image/jpeg
284 
image/pjpeg
54 
application/octet-stream
 
7
video/x-ms-wmv
 
6
video/mp4
 
4
Other values (3)
 
8

Length

Max length24
Median length10
Mean length10.512397
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowimage/pjpeg
2nd rowimage/pjpeg
3rd rowimage/x-png
4th rowimage/jpeg
5th rowimage/jpeg

Common Values

ValueCountFrequency (%)
image/jpeg 284
78.2%
image/pjpeg 54
 
14.9%
application/octet-stream 7
 
1.9%
video/x-ms-wmv 6
 
1.7%
video/mp4 4
 
1.1%
application/pdf 3
 
0.8%
video/avi 3
 
0.8%
image/x-png 2
 
0.6%

Length

2023-12-12T19:13:19.030090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:19.209344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
image/jpeg 284
78.2%
image/pjpeg 54
 
14.9%
application/octet-stream 7
 
1.9%
video/x-ms-wmv 6
 
1.7%
video/mp4 4
 
1.1%
application/pdf 3
 
0.8%
video/avi 3
 
0.8%
image/x-png 2
 
0.6%

파일종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
defaultFile
339 
attachFile
 
24

Length

Max length11
Median length11
Mean length10.933884
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
defaultFile 339
93.4%
attachFile 24
 
6.6%

Length

2023-12-12T19:13:19.380084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:19.521966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
defaultfile 339
93.4%
attachfile 24
 
6.6%

다운로드수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
363 

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 (%)
0 363
100.0%

Length

2023-12-12T19:13:19.666489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:13:19.814276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 363
100.0%

Interactions

2023-12-12T19:13:16.029416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.373389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.680856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:16.129621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.487867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.793988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:16.218348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.586790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:13:15.909362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:13:19.902912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호파일일련번호첨부파일용량파일유형파일종류
게시물번호1.0000.5850.0000.2990.300
파일일련번호0.5851.0000.8630.5850.469
첨부파일용량0.0000.8631.0000.8760.850
파일유형0.2990.5850.8761.0001.000
파일종류0.3000.4690.8501.0001.000
2023-12-12T19:13:20.023901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
파일유형파일종류
파일유형1.0000.980
파일종류0.9801.000
2023-12-12T19:13:20.135900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시물번호파일일련번호첨부파일용량파일유형파일종류
게시물번호1.0000.4040.3770.1700.215
파일일련번호0.4041.0000.2420.3350.466
첨부파일용량0.3770.2421.0000.6790.872
파일유형0.1700.3350.6791.0000.980
파일종류0.2150.4660.8720.9801.000

Missing values

2023-12-12T19:13:16.335633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:13:16.739691image/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

게시물번호파일일련번호논리파일명파일경로첨부파일용량파일유형파일종류다운로드수
030611.jpg/open_content/upload/leconline/LecOnlineController/2015/01/29/14225138923510.jpg236812image/pjpegdefaultFile0
1307120150507_170112.jpg/open_content/upload/leconline/LecOnlineController/2015/05/07/14309861539010.jpg185814image/pjpegdefaultFile0
23081썸네일 이미지.PNG/open_content/upload/leconline/LecOnlineController/2015/08/07/14389093130790.PNG2300766image/x-pngdefaultFile0
33302팝업_대.jpg/open_content/upload/leconline/LecOnlineController/2015/09/09/UP1441762767_.jpg2923114image/jpegdefaultFile0
43312공부의왕도특강.jpg/open_content/upload/leconline/LecOnlineController/2015/10/15/UP_1444899215.jpg33962image/jpegdefaultFile0
53301학교폭력 홍보동영상.mp4/open_content/upload/leconline/LecOnlineController/2015/09/09/UP1441762767_.mp423205307video/mp4attachFile0
63332제목 없음.jpg/open_content/upload/leconline/LecOnlineController/2015/10/15/UP_1444899520.jpg46819image/jpegdefaultFile0
73322고봉익특강.jpg/open_content/upload/leconline/LecOnlineController/2015/10/15/UP_1444899354.jpg24942image/jpegdefaultFile0
83342홍보영상.jpg/open_content/upload/leconline/LecOnlineController/2015/11/10/UP_1447137180.jpg8988image/jpegdefaultFile0
933928e0eec7eaaf16c07e901de73df58f855_1463633607_preview.jpg/open_content/upload/leconline/LecOnlineController/2016/05/19/UP_1463635452.jpg42959image/jpegdefaultFile0
게시물번호파일일련번호논리파일명파일경로첨부파일용량파일유형파일종류다운로드수
35339122018-10-10 대전_찾아가는 교육정책 설명회-1부[00 00 03].jpg/open_content/upload/leconline/LecOnlineController/2018/10/15/UP_1539577064.jpg322019image/jpegdefaultFile0
3543922[SHANA]2018-10-10 대전_찾아가는 교육정책 설명회-2부[00 00 05](1).jpg/open_content/upload/leconline/LecOnlineController/2018/10/30/UP_1540863444.jpg261329image/jpegdefaultFile0
35539322018-10-10 대전_찾아가는 교육정책 설명회 3부-01[00 00 07].jpg/open_content/upload/leconline/LecOnlineController/2018/10/30/UP_1540863698.jpg240894image/jpegdefaultFile0
35639422018-10-10 대전_찾아가는 교육정책 설명회 3부-02[00 00 07].jpg/open_content/upload/leconline/LecOnlineController/2018/10/30/UP_1540864011.jpg277391image/jpegdefaultFile0
35739522018-10-10 대전_찾아가는 교육정책 설명회 3부-03[00 00 05].jpg/open_content/upload/leconline/LecOnlineController/2018/10/30/UP_1540864167.jpg243725image/jpegdefaultFile0
35839622018-10-19 전주-찾아가는 교육정책 설명회-1부[00 00 04].jpg/open_content/upload/leconline/LecOnlineController/2018/10/30/UP_1540864393.jpg241797image/jpegdefaultFile0
3593972교육부_찾아가는 교_00001.jpg/open_content/upload/leconline/LecOnlineController/2019/01/24/UP_1548294819.jpg106788image/jpegdefaultFile0
3603982photo_5.jpg/open_content/upload/leconline/LecOnlineController/2019/03/04/UP_1551661089.jpg97641image/jpegdefaultFile0
3614002무엇이든 물어보세요.jpg/open_content/upload/leconline/LecOnlineController/2019/04/09/UP_1554771123.jpg413756image/jpegdefaultFile0
3624512썸네일.JPG/open_content/upload/leconline/LecOnlineController/2019/12/09/UP_1575875064.JPG46582image/jpegdefaultFile0