Overview

Dataset statistics

Number of variables7
Number of observations356
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.9 KiB
Average record size in memory57.4 B

Variable types

Numeric1
Text3
DateTime3

Dataset

Descriptionsw중심사회포털 뉴스레터 관련 내용을 담고 있는 정보입니다.
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15073514/fileData.do

Alerts

고유번호 has unique valuesUnique
등록일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:04:00.149004
Analysis finished2023-12-12 23:04:00.891962
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct356
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.80337
Minimum1
Maximum406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T08:04:00.998033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.75
Q196.75
median211.5
Q3303.25
95-th percentile386.25
Maximum406
Range405
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation118.75045
Coefficient of variation (CV)0.58844629
Kurtosis-1.2542815
Mean201.80337
Median Absolute Deviation (MAD)103.5
Skewness0.013727003
Sum71842
Variance14101.668
MonotonicityStrictly decreasing
2023-12-13T08:04:01.172996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
406 1
 
0.3%
143 1
 
0.3%
119 1
 
0.3%
120 1
 
0.3%
121 1
 
0.3%
122 1
 
0.3%
123 1
 
0.3%
125 1
 
0.3%
126 1
 
0.3%
128 1
 
0.3%
Other values (346) 346
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 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%
ValueCountFrequency (%)
406 1
0.3%
405 1
0.3%
404 1
0.3%
403 1
0.3%
402 1
0.3%
401 1
0.3%
400 1
0.3%
399 1
0.3%
398 1
0.3%
395 1
0.3%
Distinct174
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T08:04:01.492853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length32
Mean length16.13764
Min length3

Characters and Unicode

Total characters5745
Distinct characters345
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)9.8%

Sample

1st row뉴스레터 이벤트 당첨자
2nd row뉴스레터 이벤트 당첨자
3rd row2020 온라인 코딩파티 시즌2 체험기간
4th row2020 온라인 코딩파티 시즌2 체험기간
5th row2020 온라인 코딩파티 시즌2 체험기간
ValueCountFrequency (%)
온라인 26
 
2.1%
코딩파티 25
 
2.0%
소프트웨어 22
 
1.8%
sw교육 20
 
1.6%
17
 
1.4%
공모전 16
 
1.3%
2018 15
 
1.2%
2020 15
 
1.2%
모집 14
 
1.1%
2016 14
 
1.1%
Other values (343) 1065
85.3%
2023-12-13T08:04:01.939733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
898
 
15.6%
2 146
 
2.5%
S 140
 
2.4%
W 136
 
2.4%
0 122
 
2.1%
1 103
 
1.8%
81
 
1.4%
68
 
1.2%
66
 
1.1%
65
 
1.1%
Other values (335) 3920
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3687
64.2%
Space Separator 898
 
15.6%
Decimal Number 494
 
8.6%
Uppercase Letter 467
 
8.1%
Lowercase Letter 111
 
1.9%
Close Punctuation 22
 
0.4%
Open Punctuation 22
 
0.4%
Other Punctuation 22
 
0.4%
Dash Punctuation 11
 
0.2%
Connector Punctuation 5
 
0.1%
Other values (3) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
2.2%
68
 
1.8%
66
 
1.8%
65
 
1.8%
63
 
1.7%
61
 
1.7%
59
 
1.6%
59
 
1.6%
58
 
1.6%
57
 
1.5%
Other values (274) 3050
82.7%
Uppercase Letter
ValueCountFrequency (%)
S 140
30.0%
W 136
29.1%
T 32
 
6.9%
I 30
 
6.4%
C 28
 
6.0%
E 20
 
4.3%
O 18
 
3.9%
P 12
 
2.6%
A 10
 
2.1%
K 8
 
1.7%
Other values (9) 33
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
o 17
15.3%
l 12
10.8%
s 12
10.8%
w 12
10.8%
i 10
9.0%
n 8
7.2%
e 8
7.2%
t 8
7.2%
h 4
 
3.6%
c 4
 
3.6%
Other values (7) 16
14.4%
Decimal Number
ValueCountFrequency (%)
2 146
29.6%
0 122
24.7%
1 103
20.9%
9 27
 
5.5%
8 27
 
5.5%
6 24
 
4.9%
7 20
 
4.0%
4 14
 
2.8%
5 11
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 6
27.3%
' 4
18.2%
· 4
18.2%
" 4
18.2%
& 2
 
9.1%
! 2
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 16
72.7%
] 6
 
27.3%
Open Punctuation
ValueCountFrequency (%)
( 16
72.7%
[ 6
 
27.3%
Space Separator
ValueCountFrequency (%)
898
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3675
64.0%
Common 1480
25.8%
Latin 578
 
10.1%
Han 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
2.2%
68
 
1.9%
66
 
1.8%
65
 
1.8%
63
 
1.7%
61
 
1.7%
59
 
1.6%
59
 
1.6%
58
 
1.6%
57
 
1.6%
Other values (268) 3038
82.7%
Latin
ValueCountFrequency (%)
S 140
24.2%
W 136
23.5%
T 32
 
5.5%
I 30
 
5.2%
C 28
 
4.8%
E 20
 
3.5%
O 18
 
3.1%
o 17
 
2.9%
l 12
 
2.1%
P 12
 
2.1%
Other values (26) 133
23.0%
Common
ValueCountFrequency (%)
898
60.7%
2 146
 
9.9%
0 122
 
8.2%
1 103
 
7.0%
9 27
 
1.8%
8 27
 
1.8%
6 24
 
1.6%
7 20
 
1.4%
) 16
 
1.1%
( 16
 
1.1%
Other values (15) 81
 
5.5%
Han
ValueCountFrequency (%)
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3675
64.0%
ASCII 2050
35.7%
CJK 12
 
0.2%
None 4
 
0.1%
Punctuation 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
898
43.8%
2 146
 
7.1%
S 140
 
6.8%
W 136
 
6.6%
0 122
 
6.0%
1 103
 
5.0%
T 32
 
1.6%
I 30
 
1.5%
C 28
 
1.4%
9 27
 
1.3%
Other values (48) 388
18.9%
Hangul
ValueCountFrequency (%)
81
 
2.2%
68
 
1.9%
66
 
1.8%
65
 
1.8%
63
 
1.7%
61
 
1.7%
59
 
1.6%
59
 
1.6%
58
 
1.6%
57
 
1.6%
Other values (268) 3038
82.7%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK
ValueCountFrequency (%)
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
2
16.7%
Distinct141
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2015-11-01 00:00:00
Maximum2020-11-09 00:00:00
2023-12-13T08:04:02.087876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:02.240087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct141
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2015-11-29 00:00:00
Maximum2023-12-19 00:00:00
2023-12-13T08:04:02.390194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:02.570917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct306
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T08:04:02.809846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38
Mean length17.162921
Min length5

Characters and Unicode

Total characters6110
Distinct characters228
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)73.9%

Sample

1st row당첨자발표2_배너.jpg
2nd row당첨자발표2_배너존.jpg
3rd row배너2.jpg
4th rowmainm(cp).jpg
5th rowmainr(cp).jpg
ValueCountFrequency (%)
s.jpg 6
 
1.4%
popup.jpg 4
 
0.9%
block 4
 
0.9%
sw중심사회 3
 
0.7%
chain 3
 
0.7%
배너in창의캠프.png 3
 
0.7%
web 3
 
0.7%
m_popup.jpg 2
 
0.5%
sw-ceri.jpg 2
 
0.5%
b_285x330.jpg 2
 
0.5%
Other values (334) 393
92.5%
2023-12-13T08:04:03.205131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 534
 
8.7%
_ 375
 
6.1%
n 375
 
6.1%
g 365
 
6.0%
. 357
 
5.8%
1 304
 
5.0%
0 283
 
4.6%
j 260
 
4.3%
2 193
 
3.2%
a 180
 
2.9%
Other values (218) 2884
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2833
46.4%
Decimal Number 1262
20.7%
Other Letter 810
 
13.3%
Connector Punctuation 375
 
6.1%
Other Punctuation 360
 
5.9%
Uppercase Letter 277
 
4.5%
Space Separator 69
 
1.1%
Dash Punctuation 63
 
1.0%
Close Punctuation 31
 
0.5%
Open Punctuation 30
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
5.4%
41
 
5.1%
27
 
3.3%
25
 
3.1%
23
 
2.8%
22
 
2.7%
21
 
2.6%
16
 
2.0%
15
 
1.9%
15
 
1.9%
Other values (153) 561
69.3%
Lowercase Letter
ValueCountFrequency (%)
p 534
18.8%
n 375
13.2%
g 365
12.9%
j 260
9.2%
a 180
 
6.4%
e 168
 
5.9%
m 161
 
5.7%
o 136
 
4.8%
i 133
 
4.7%
b 111
 
3.9%
Other values (15) 410
14.5%
Uppercase Letter
ValueCountFrequency (%)
W 49
17.7%
S 40
14.4%
C 29
10.5%
B 25
9.0%
M 21
 
7.6%
X 16
 
5.8%
A 10
 
3.6%
P 10
 
3.6%
T 9
 
3.2%
G 8
 
2.9%
Other values (11) 60
21.7%
Decimal Number
ValueCountFrequency (%)
1 304
24.1%
0 283
22.4%
2 193
15.3%
5 99
 
7.8%
3 97
 
7.7%
7 93
 
7.4%
9 66
 
5.2%
6 56
 
4.4%
8 41
 
3.2%
4 30
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 357
99.2%
, 3
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 23
74.2%
] 8
 
25.8%
Open Punctuation
ValueCountFrequency (%)
( 22
73.3%
[ 8
 
26.7%
Connector Punctuation
ValueCountFrequency (%)
_ 375
100.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3110
50.9%
Common 2190
35.8%
Hangul 810
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
5.4%
41
 
5.1%
27
 
3.3%
25
 
3.1%
23
 
2.8%
22
 
2.7%
21
 
2.6%
16
 
2.0%
15
 
1.9%
15
 
1.9%
Other values (153) 561
69.3%
Latin
ValueCountFrequency (%)
p 534
17.2%
n 375
12.1%
g 365
11.7%
j 260
 
8.4%
a 180
 
5.8%
e 168
 
5.4%
m 161
 
5.2%
o 136
 
4.4%
i 133
 
4.3%
b 111
 
3.6%
Other values (36) 687
22.1%
Common
ValueCountFrequency (%)
_ 375
17.1%
. 357
16.3%
1 304
13.9%
0 283
12.9%
2 193
8.8%
5 99
 
4.5%
3 97
 
4.4%
7 93
 
4.2%
69
 
3.2%
9 66
 
3.0%
Other values (9) 254
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5300
86.7%
Hangul 810
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 534
 
10.1%
_ 375
 
7.1%
n 375
 
7.1%
g 365
 
6.9%
. 357
 
6.7%
1 304
 
5.7%
0 283
 
5.3%
j 260
 
4.9%
2 193
 
3.6%
a 180
 
3.4%
Other values (55) 2074
39.1%
Hangul
ValueCountFrequency (%)
44
 
5.4%
41
 
5.1%
27
 
3.3%
25
 
3.1%
23
 
2.8%
22
 
2.7%
21
 
2.6%
16
 
2.0%
15
 
1.9%
15
 
1.9%
Other values (153) 561
69.3%

링크
Text

Distinct223
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T08:04:03.448828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length169
Median length93
Mean length58.814607
Min length1

Characters and Unicode

Total characters20938
Distinct characters90
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

Unique126 ?
Unique (%)35.4%

Sample

1st rowhttps://www.software.kr/um/um05/um0503/um0503View.do?postId=69081&
2nd rowhttps://www.software.kr/um/um05/um0503/um0503View.do?postId=69081&
3rd rowhttp://www.software.kr/mb/um04/um0402/um040204/um04020408/um0402040801.do
4th rowhttp://www.software.kr/um/um04/um0402/um040204/um04020408/um0402040801.do
5th rowhttp://www.software.kr/um/um04/um0402/um040204/um04020408/um0402040801.do
ValueCountFrequency (%)
http://sweduweek.kr 6
 
1.6%
none 5
 
1.4%
http://www.software.kr/um/um04/um0401/um040101/um040100view.do?eventinfoseq=1437&date=2019.06 4
 
1.1%
http://www.software.kr/um/um04/um0402/um040204/um04020408/um0402040801.do 4
 
1.1%
http://festival.software.kr 4
 
1.1%
http://www.ictcoc.kr/04_com/com02_view.asp?idx=74&page=1&params 4
 
1.1%
http://www.nipa.kr/biz/boardview.it?bizid=00721&menuno=946&boardid=noti&boardno=10&page=1&action=set 4
 
1.1%
http://www.onoffmix.com/event/194417 4
 
1.1%
http://blockchain.eksa.or.kr/interact/index.user 4
 
1.1%
https://www.innovationacademy.kr 4
 
1.1%
Other values (218) 327
88.4%
2023-12-13T08:04:03.853348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2288
 
10.9%
/ 1837
 
8.8%
m 1176
 
5.6%
t 1092
 
5.2%
u 1080
 
5.2%
w 1013
 
4.8%
e 912
 
4.4%
. 880
 
4.2%
1 875
 
4.2%
o 834
 
4.0%
Other values (80) 8951
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10906
52.1%
Decimal Number 5498
26.3%
Other Punctuation 3459
 
16.5%
Uppercase Letter 602
 
2.9%
Math Symbol 349
 
1.7%
Connector Punctuation 47
 
0.2%
Other Letter 40
 
0.2%
Dash Punctuation 18
 
0.1%
Space Separator 15
 
0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 1176
10.8%
t 1092
 
10.0%
u 1080
 
9.9%
w 1013
 
9.3%
e 912
 
8.4%
o 834
 
7.6%
r 562
 
5.2%
d 480
 
4.4%
a 452
 
4.1%
s 450
 
4.1%
Other values (16) 2855
26.2%
Uppercase Letter
ValueCountFrequency (%)
V 150
24.9%
I 87
14.5%
S 83
13.8%
E 54
 
9.0%
N 49
 
8.1%
C 47
 
7.8%
B 21
 
3.5%
K 17
 
2.8%
T 17
 
2.8%
D 14
 
2.3%
Other values (12) 63
10.5%
Other Letter
ValueCountFrequency (%)
4
 
10.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (9) 18
45.0%
Decimal Number
ValueCountFrequency (%)
0 2288
41.6%
1 875
 
15.9%
4 831
 
15.1%
2 513
 
9.3%
5 200
 
3.6%
3 190
 
3.5%
6 161
 
2.9%
9 150
 
2.7%
7 148
 
2.7%
8 142
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 1837
53.1%
. 880
25.4%
: 278
 
8.0%
& 233
 
6.7%
? 165
 
4.8%
% 60
 
1.7%
# 6
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 349
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11508
55.0%
Common 9390
44.8%
Hangul 40
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 1176
 
10.2%
t 1092
 
9.5%
u 1080
 
9.4%
w 1013
 
8.8%
e 912
 
7.9%
o 834
 
7.2%
r 562
 
4.9%
d 480
 
4.2%
a 452
 
3.9%
s 450
 
3.9%
Other values (38) 3457
30.0%
Common
ValueCountFrequency (%)
0 2288
24.4%
/ 1837
19.6%
. 880
 
9.4%
1 875
 
9.3%
4 831
 
8.8%
2 513
 
5.5%
= 349
 
3.7%
: 278
 
3.0%
& 233
 
2.5%
5 200
 
2.1%
Other values (13) 1106
11.8%
Hangul
ValueCountFrequency (%)
4
 
10.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (9) 18
45.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20898
99.8%
Hangul 40
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2288
 
10.9%
/ 1837
 
8.8%
m 1176
 
5.6%
t 1092
 
5.2%
u 1080
 
5.2%
w 1013
 
4.8%
e 912
 
4.4%
. 880
 
4.2%
1 875
 
4.2%
o 834
 
4.0%
Other values (61) 8911
42.6%
Hangul
ValueCountFrequency (%)
4
 
10.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
Other values (9) 18
45.0%

등록일자
Date

UNIQUE 

Distinct356
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2015-11-12 15:27:52
Maximum2020-11-10 10:29:31
2023-12-13T08:04:04.031663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:04.189439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T08:04:00.551744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T08:04:00.699668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:04:00.836920image/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

고유번호배너명시작일종료일파일명링크등록일자
0406뉴스레터 이벤트 당첨자2020-11-09 00:00:002020-11-20 00:00:00당첨자발표2_배너.jpghttps://www.software.kr/um/um05/um0503/um0503View.do?postId=69081&2020-11-10 10:29:31
1405뉴스레터 이벤트 당첨자2020-11-09 00:00:002020-11-20 00:00:00당첨자발표2_배너존.jpghttps://www.software.kr/um/um05/um0503/um0503View.do?postId=69081&2020-11-10 10:29:02
24042020 온라인 코딩파티 시즌2 체험기간2020-11-02 00:00:002020-11-29 00:00:00배너2.jpghttp://www.software.kr/mb/um04/um0402/um040204/um04020408/um0402040801.do2020-11-02 17:31:00
34032020 온라인 코딩파티 시즌2 체험기간2020-11-02 00:00:002020-11-29 00:00:00mainm(cp).jpghttp://www.software.kr/um/um04/um0402/um040204/um04020408/um0402040801.do2020-11-02 17:30:05
44022020 온라인 코딩파티 시즌2 체험기간2020-11-02 00:00:002020-11-29 00:00:00mainr(cp).jpghttp://www.software.kr/um/um04/um0402/um040204/um04020408/um0402040801.do2020-11-02 17:29:38
54012020 SW교육 페스티벌2020-10-29 00:00:002020-11-23 00:00:00916x236.pnghttp://festival.software.kr/2020-10-30 14:51:45
64002020 SW교육 페스티벌2020-10-29 00:00:002020-11-23 00:00:00275x275.pnghttp://festival.software.kr/2020-10-30 14:51:01
73992020글로벌 SW교육 컨퍼런스2020-10-29 00:00:002020-11-04 00:00:00webr(916-236) (2).jpghttp://festival.software.kr/2020-10-30 14:49:03
83982020글로벌 SW교육 컨퍼런스2020-10-29 00:00:002020-11-04 00:00:00webm(275-275) (1).jpghttp://festival.software.kr/2020-10-30 14:48:32
93952020 온라인 코딩파티 시즌22020-10-11 00:00:002020-10-31 00:00:00mobile s2.pnghttp://www.software.kr/mb/um04/um0402/um040204/um04020412/um0402041201.do2020-10-12 11:17:16
고유번호배너명시작일종료일파일명링크등록일자
34610메인 체험주간2015-11-01 00:00:002015-12-07 00:00:00m_main_top2.png/mb/um01/um0108/um010801.do2015-11-16 17:41:28
3479SW주간행사2015-11-08 00:00:002015-12-04 00:00:00m_main_top1.png/mb/um06/um0606/um060601.do2015-11-16 17:40:18
3488SW창의캠프 당첨자2015-11-08 00:00:002015-12-20 00:00:00배너in창의캠프.png/um/um01/um0104/um010405/um010405View.do?postId=105012015-11-13 19:09:33
3497SW마법이야기2015-11-08 00:00:002015-12-31 00:00:00popup03.jpg/um/um01/um0105/um0105View.do?postId=73382015-11-12 21:34:40
3506SW주간행사2015-11-08 00:00:002015-12-04 00:00:00main_top1.jpg/um/um06/um0606/um060601.do2015-11-12 16:29:33
3515클라우드 지원센터2015-11-01 00:00:002016-12-31 00:00:00popup02.jpghttp://cloudsc.kr/?page_id=14922015-11-12 16:03:45
3524클라우드 ZINE2015-11-01 00:00:002015-12-31 00:00:00banner_1101.jpg#none2015-11-12 16:01:37
3533심화캠프2015-11-08 00:00:002015-12-20 00:00:00main_contetns_sw창의캠프.jpg/um/um01/um0104/um010406/um01040601.do2015-11-12 15:36:33
3542SW교육체험 주간2015-11-01 00:00:002015-12-07 00:00:00main_contetns_sw교육체험주간.jpg/um/um01/um0108/um010801.do2015-11-12 15:34:36
3551SW교육체험주간2015-11-01 00:00:002015-12-07 00:00:00main_top2.jpg/um/um01/um0108/um010801.do2015-11-12 15:27:52