Overview

Dataset statistics

Number of variables11
Number of observations33
Missing cells240
Missing cells (%)66.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory92.0 B

Variable types

DateTime1
Text10

Dataset

Description국가보훈부 나라사랑배움터(http://edu.mpva.go.kr)에서 제공하는 보훈 관련 교육콘텐츠 정보 및 Link 데이터 * 제공 내용 : 나라사랑배움터 보훈달력 데이터 * 제공 항목 : 일자, 제목, 내용요약, 교육자료1, 교육자료2, 교육자료3, 교육자료4, 교육자료5, 교육자료6, 교육자료7, 교육자료8
URLhttps://www.data.go.kr/data/15061825/fileData.do

Alerts

교육자료5 has constant value ""Constant
교육자료6 has constant value ""Constant
교육자료7 has constant value ""Constant
교육자료8 has constant value ""Constant
교육자료1 has 25 (75.8%) missing valuesMissing
교육자료2 has 28 (84.8%) missing valuesMissing
교육자료3 has 29 (87.9%) missing valuesMissing
교육자료4 has 30 (90.9%) missing valuesMissing
교육자료5 has 32 (97.0%) missing valuesMissing
교육자료6 has 32 (97.0%) missing valuesMissing
교육자료7 has 32 (97.0%) missing valuesMissing
교육자료8 has 32 (97.0%) missing valuesMissing
일자 has unique valuesUnique
제목 has unique valuesUnique
내용요약 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:16:21.535310
Analysis finished2023-12-12 23:16:22.733500
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-01-05 00:00:00
Maximum2023-12-28 00:00:00
2023-12-13T08:16:22.784497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:16:22.887667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

제목
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T08:16:23.114805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length14.787879
Min length3

Characters and Unicode

Total characters488
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row김지섭 의거(1924)
2nd row이봉창 의거(1932)
3rd row김상옥 의거(1923)
4th row국채보상운동 시작(1907)
5th row2·8 독립선언(1919, 도쿄)
ValueCountFrequency (%)
기념일(1960 4
 
5.3%
날 3
 
3.9%
2
 
2.6%
의거(1932 2
 
2.6%
의거(1919 1
 
1.3%
강우규 1
 
1.3%
경술국치(1910 1
 
1.3%
광복절 1
 
1.3%
정전협정(1953 1
 
1.3%
김지섭 1
 
1.3%
Other values (59) 59
77.6%
2023-12-13T08:16:23.488715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
9.0%
1 41
 
8.4%
9 36
 
7.4%
) 32
 
6.6%
( 32
 
6.6%
0 20
 
4.1%
2 16
 
3.3%
의 14
 
2.9%
일 11
 
2.3%
· 9
 
1.8%
Other values (114) 233
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
44.7%
Decimal Number 147
30.1%
Space Separator 44
 
9.0%
Close Punctuation 32
 
6.6%
Open Punctuation 32
 
6.6%
Other Punctuation 13
 
2.7%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 14
 
6.4%
일 11
 
5.0%
거 9
 
4.1%
념 8
 
3.7%
기 8
 
3.7%
전 7
 
3.2%
국 6
 
2.8%
운 5
 
2.3%
동 5
 
2.3%
주 4
 
1.8%
Other values (96) 141
64.7%
Decimal Number
ValueCountFrequency (%)
1 41
27.9%
9 36
24.5%
0 20
13.6%
2 16
 
10.9%
5 9
 
6.1%
6 9
 
6.1%
3 8
 
5.4%
8 5
 
3.4%
4 2
 
1.4%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
· 9
69.2%
/ 2
 
15.4%
, 2
 
15.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 268
54.9%
Hangul 218
44.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 14
 
6.4%
일 11
 
5.0%
거 9
 
4.1%
념 8
 
3.7%
기 8
 
3.7%
전 7
 
3.2%
국 6
 
2.8%
운 5
 
2.3%
동 5
 
2.3%
주 4
 
1.8%
Other values (96) 141
64.7%
Common
ValueCountFrequency (%)
44
16.4%
1 41
15.3%
9 36
13.4%
) 32
11.9%
( 32
11.9%
0 20
7.5%
2 16
 
6.0%
· 9
 
3.4%
5 9
 
3.4%
6 9
 
3.4%
Other values (6) 20
7.5%
Latin
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
53.5%
Hangul 218
44.7%
None 9
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
16.9%
1 41
15.7%
9 36
13.8%
) 32
12.3%
( 32
12.3%
0 20
7.7%
2 16
 
6.1%
5 9
 
3.4%
6 9
 
3.4%
3 8
 
3.1%
Other values (7) 14
 
5.4%
Hangul
ValueCountFrequency (%)
의 14
 
6.4%
일 11
 
5.0%
거 9
 
4.1%
념 8
 
3.7%
기 8
 
3.7%
전 7
 
3.2%
국 6
 
2.8%
운 5
 
2.3%
동 5
 
2.3%
주 4
 
1.8%
Other values (96) 141
64.7%
None
ValueCountFrequency (%)
· 9
100.0%

내용요약
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T08:16:23.744035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length75
Mean length72.606061
Min length38

Characters and Unicode

Total characters2396
Distinct characters309
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row1924년 1월 5일 조국 독립을 위해 일왕 궁성의 이중교(二重橋)를 향해 폭탄 3개를 투하하였으나, 그 기능이 작동하지 않아 불발되었고 붙잡힘. 이후 옥중에서 단식투쟁을 하다가 1928년 2월 지바형무소에서 44세로 순국하였음
2nd row1932년 1월 8일 일본 도쿄에서 한인 애국단원 이봉창이 일왕 히로히토에게 폭탄을 던진 사건
3rd row1923년 1월 12일 의열단원 김상옥이 많은 독립운동가를 잡아 고문하던 당시 종로경찰서에 폭탄을 던진 의거일
4th row일제가 제공한 차관 1,300만원을 국민들이 모금하여 갚고자 한 운동
5th row1919년 2월 8일, 일본에서 유학 중이던 한국인 남녀학생들이 한국의 독립을 요구하는 선언서와 결의문을 선포한 사건
ValueCountFrequency (%)
날 10
 
1.8%
사건 7
 
1.3%
위해 7
 
1.3%
우리 5
 
0.9%
1960년 4
 
0.7%
6월 4
 
0.7%
폭탄을 4
 
0.7%
1919년 4
 
0.7%
11월 4
 
0.7%
북한 4
 
0.7%
Other values (426) 496
90.3%
2023-12-13T08:16:24.188316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
 
21.5%
1 65
 
2.7%
일 54
 
2.3%
의 53
 
2.2%
을 48
 
2.0%
2 42
 
1.8%
한 41
 
1.7%
9 39
 
1.6%
이 38
 
1.6%
하 37
 
1.5%
Other values (299) 1463
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
66.3%
Space Separator 516
 
21.5%
Decimal Number 241
 
10.1%
Other Punctuation 35
 
1.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Uppercase Letter 4
 
0.2%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 54
 
3.4%
의 53
 
3.3%
을 48
 
3.0%
한 41
 
2.6%
이 38
 
2.4%
하 37
 
2.3%
에 34
 
2.1%
월 28
 
1.8%
국 27
 
1.7%
정 26
 
1.6%
Other values (277) 1202
75.7%
Decimal Number
ValueCountFrequency (%)
1 65
27.0%
2 42
17.4%
9 39
16.2%
0 23
 
9.5%
6 17
 
7.1%
5 15
 
6.2%
3 13
 
5.4%
8 12
 
5.0%
4 9
 
3.7%
7 6
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 22
62.9%
. 6
 
17.1%
· 4
 
11.4%
" 2
 
5.7%
: 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
U 2
50.0%
Space Separator
ValueCountFrequency (%)
516
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1582
66.0%
Common 804
33.6%
Han 6
 
0.3%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 54
 
3.4%
의 53
 
3.4%
을 48
 
3.0%
한 41
 
2.6%
이 38
 
2.4%
하 37
 
2.3%
에 34
 
2.1%
월 28
 
1.8%
국 27
 
1.7%
정 26
 
1.6%
Other values (271) 1196
75.6%
Common
ValueCountFrequency (%)
516
64.2%
1 65
 
8.1%
2 42
 
5.2%
9 39
 
4.9%
0 23
 
2.9%
, 22
 
2.7%
6 17
 
2.1%
5 15
 
1.9%
3 13
 
1.6%
8 12
 
1.5%
Other values (10) 40
 
5.0%
Han
ValueCountFrequency (%)
二 1
16.7%
重 1
16.7%
橋 1
16.7%
日 1
16.7%
山 1
16.7%
因 1
16.7%
Latin
ValueCountFrequency (%)
N 2
50.0%
U 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
66.0%
ASCII 802
33.5%
CJK 6
 
0.3%
None 4
 
0.2%
Punctuation 2
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
64.3%
1 65
 
8.1%
2 42
 
5.2%
9 39
 
4.9%
0 23
 
2.9%
, 22
 
2.7%
6 17
 
2.1%
5 15
 
1.9%
3 13
 
1.6%
8 12
 
1.5%
Other values (9) 38
 
4.7%
Hangul
ValueCountFrequency (%)
일 54
 
3.4%
의 53
 
3.4%
을 48
 
3.0%
한 41
 
2.6%
이 38
 
2.4%
하 37
 
2.3%
에 34
 
2.2%
월 28
 
1.8%
국 27
 
1.7%
정 26
 
1.6%
Other values (270) 1195
75.6%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
二 1
16.7%
重 1
16.7%
橋 1
16.7%
日 1
16.7%
山 1
16.7%
因 1
16.7%

교육자료1
Text

MISSING 

Distinct6
Distinct (%)75.0%
Missing25
Missing (%)75.8%
Memory size396.0 B
2023-12-13T08:16:24.396873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length62.125
Min length28

Characters and Unicode

Total characters497
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)50.0%

Sample

1st rowhttps://www.youtube.com/embed/qxG-AZjPZcg?feature=player_detailpage
2nd rowhttps://www.youtube.com/embed/qxG-AZjPZcg?feature=player_detailpage
3rd rowhttps://www.youtube.com/embed/BzlPfI8Vmdg?feature=player_detailpage
4th rowhttps://www.youtube.com/embed/BzlPfI8Vmdg?feature=player_detailpage
5th rowhttps://www.youtube.com/embed/CjrKw4HzQSk?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/qxg-azjpzcg?feature=player_detailpage 2
25.0%
https://www.youtube.com/embed/bzlpfi8vmdg?feature=player_detailpage 2
25.0%
https://www.youtube.com/embed/cjrkw4hzqsk?feature=player_detailpage 1
12.5%
https://www.youtube.com/embed/rb-ua4yhqfs?feature=player_detailpage 1
12.5%
https://www.youtube.com/embed/cuio65qmc1g?feature=player_detailpage 1
12.5%
https://youtu.be/rb-ua4yhqfs 1
12.5%
2023-12-13T08:16:24.721002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 57
 
11.5%
t 38
 
7.6%
/ 31
 
6.2%
a 30
 
6.0%
u 25
 
5.0%
p 22
 
4.4%
w 22
 
4.4%
y 17
 
3.4%
b 17
 
3.4%
r 17
 
3.4%
Other values (41) 221
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 381
76.7%
Other Punctuation 61
 
12.3%
Uppercase Letter 29
 
5.8%
Decimal Number 8
 
1.6%
Connector Punctuation 7
 
1.4%
Math Symbol 7
 
1.4%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 57
15.0%
t 38
 
10.0%
a 30
 
7.9%
u 25
 
6.6%
p 22
 
5.8%
w 22
 
5.8%
y 17
 
4.5%
b 17
 
4.5%
r 17
 
4.5%
l 16
 
4.2%
Other values (14) 120
31.5%
Uppercase Letter
ValueCountFrequency (%)
P 4
13.8%
Z 4
13.8%
Q 3
10.3%
I 3
10.3%
B 2
 
6.9%
V 2
 
6.9%
G 2
 
6.9%
A 2
 
6.9%
U 1
 
3.4%
M 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
4 3
37.5%
8 2
25.0%
5 1
 
12.5%
6 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 31
50.8%
. 15
24.6%
: 8
 
13.1%
? 7
 
11.5%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Math Symbol
ValueCountFrequency (%)
= 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 410
82.5%
Common 87
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 57
 
13.9%
t 38
 
9.3%
a 30
 
7.3%
u 25
 
6.1%
p 22
 
5.4%
w 22
 
5.4%
y 17
 
4.1%
b 17
 
4.1%
r 17
 
4.1%
l 16
 
3.9%
Other values (29) 149
36.3%
Common
ValueCountFrequency (%)
/ 31
35.6%
. 15
17.2%
: 8
 
9.2%
_ 7
 
8.0%
= 7
 
8.0%
? 7
 
8.0%
- 4
 
4.6%
4 3
 
3.4%
8 2
 
2.3%
5 1
 
1.1%
Other values (2) 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 57
 
11.5%
t 38
 
7.6%
/ 31
 
6.2%
a 30
 
6.0%
u 25
 
5.0%
p 22
 
4.4%
w 22
 
4.4%
y 17
 
3.4%
b 17
 
3.4%
r 17
 
3.4%
Other values (41) 221
44.5%

교육자료2
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing28
Missing (%)84.8%
Memory size396.0 B
2023-12-13T08:16:24.924069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters335
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st rowhttps://www.youtube.com/embed/mZafSs6zw-A?feature=player_detailpage
2nd rowhttps://www.youtube.com/embed/mZafSs6zw-A?feature=player_detailpage
3rd rowhttps://www.youtube.com/embed/8m3D6YMcvTU?feature=player_detailpage
4th rowhttps://www.youtube.com/embed/hGDxnkcYYIU?feature=player_detailpage
5th rowhttps://www.youtube.com/embed/-owgeCFgDKg?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/mzafss6zw-a?feature=player_detailpage 2
40.0%
https://www.youtube.com/embed/8m3d6ymcvtu?feature=player_detailpage 1
20.0%
https://www.youtube.com/embed/hgdxnkcyyiu?feature=player_detailpage 1
20.0%
https://www.youtube.com/embed/-owgecfgdkg?feature=player_detailpage 1
20.0%
2023-12-13T08:16:25.209632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 41
 
12.2%
t 25
 
7.5%
a 22
 
6.6%
/ 20
 
6.0%
w 18
 
5.4%
p 15
 
4.5%
u 15
 
4.5%
m 13
 
3.9%
o 11
 
3.3%
b 10
 
3.0%
Other values (37) 145
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 256
76.4%
Other Punctuation 40
 
11.9%
Uppercase Letter 21
 
6.3%
Math Symbol 5
 
1.5%
Connector Punctuation 5
 
1.5%
Decimal Number 5
 
1.5%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 41
16.0%
t 25
 
9.8%
a 22
 
8.6%
w 18
 
7.0%
p 15
 
5.9%
u 15
 
5.9%
m 13
 
5.1%
o 11
 
4.3%
b 10
 
3.9%
r 10
 
3.9%
Other values (14) 76
29.7%
Uppercase Letter
ValueCountFrequency (%)
D 3
14.3%
Y 3
14.3%
U 2
9.5%
A 2
9.5%
S 2
9.5%
Z 2
9.5%
M 1
 
4.8%
T 1
 
4.8%
G 1
 
4.8%
I 1
 
4.8%
Other values (3) 3
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 20
50.0%
. 10
25.0%
? 5
 
12.5%
: 5
 
12.5%
Decimal Number
ValueCountFrequency (%)
6 3
60.0%
8 1
 
20.0%
3 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 277
82.7%
Common 58
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 41
14.8%
t 25
 
9.0%
a 22
 
7.9%
w 18
 
6.5%
p 15
 
5.4%
u 15
 
5.4%
m 13
 
4.7%
o 11
 
4.0%
b 10
 
3.6%
r 10
 
3.6%
Other values (27) 97
35.0%
Common
ValueCountFrequency (%)
/ 20
34.5%
. 10
17.2%
? 5
 
8.6%
= 5
 
8.6%
: 5
 
8.6%
_ 5
 
8.6%
6 3
 
5.2%
- 3
 
5.2%
8 1
 
1.7%
3 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 41
 
12.2%
t 25
 
7.5%
a 22
 
6.6%
/ 20
 
6.0%
w 18
 
5.4%
p 15
 
4.5%
u 15
 
4.5%
m 13
 
3.9%
o 11
 
3.3%
b 10
 
3.0%
Other values (37) 145
43.3%

교육자료3
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing29
Missing (%)87.9%
Memory size396.0 B
2023-12-13T08:16:25.426576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters268
Distinct characters41
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowhttps://www.youtube.com/embed/eWQf-JU6Aq8?feature=player_detailpage
2nd rowhttps://www.youtube.com/embed/eWQf-JU6Aq8?feature=player_detailpage
3rd rowhttps://www.youtube.com/embed/4WQogHWnzAY?feature=player_detailpage
4th rowhttps://www.youtube.com/embed/bumapDDAFaY?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/ewqf-ju6aq8?feature=player_detailpage 2
50.0%
https://www.youtube.com/embed/4wqoghwnzay?feature=player_detailpage 1
25.0%
https://www.youtube.com/embed/bumapddafay?feature=player_detailpage 1
25.0%
2023-12-13T08:16:25.724304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 34
 
12.7%
t 20
 
7.5%
a 18
 
6.7%
/ 16
 
6.0%
u 13
 
4.9%
p 13
 
4.9%
w 12
 
4.5%
o 9
 
3.4%
b 9
 
3.4%
m 9
 
3.4%
Other values (31) 115
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 200
74.6%
Other Punctuation 32
 
11.9%
Uppercase Letter 21
 
7.8%
Decimal Number 5
 
1.9%
Connector Punctuation 4
 
1.5%
Math Symbol 4
 
1.5%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34
17.0%
t 20
 
10.0%
a 18
 
9.0%
u 13
 
6.5%
p 13
 
6.5%
w 12
 
6.0%
o 9
 
4.5%
b 9
 
4.5%
m 9
 
4.5%
r 8
 
4.0%
Other values (12) 55
27.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
19.0%
W 4
19.0%
Q 3
14.3%
Y 2
9.5%
D 2
9.5%
J 2
9.5%
U 2
9.5%
H 1
 
4.8%
F 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 16
50.0%
. 8
25.0%
? 4
 
12.5%
: 4
 
12.5%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
6 2
40.0%
4 1
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 221
82.5%
Common 47
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34
15.4%
t 20
 
9.0%
a 18
 
8.1%
u 13
 
5.9%
p 13
 
5.9%
w 12
 
5.4%
o 9
 
4.1%
b 9
 
4.1%
m 9
 
4.1%
r 8
 
3.6%
Other values (21) 76
34.4%
Common
ValueCountFrequency (%)
/ 16
34.0%
. 8
17.0%
? 4
 
8.5%
_ 4
 
8.5%
: 4
 
8.5%
= 4
 
8.5%
8 2
 
4.3%
6 2
 
4.3%
- 2
 
4.3%
4 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 34
 
12.7%
t 20
 
7.5%
a 18
 
6.7%
/ 16
 
6.0%
u 13
 
4.9%
p 13
 
4.9%
w 12
 
4.5%
o 9
 
3.4%
b 9
 
3.4%
m 9
 
3.4%
Other values (31) 115
42.9%

교육자료4
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing30
Missing (%)90.9%
Memory size396.0 B
2023-12-13T08:16:25.913164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters201
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowhttps://www.youtube.com/embed/HZfUiv_Lo2Y?feature=player_detailpage
2nd rowhttps://www.youtube.com/embed/HZfUiv_Lo2Y?feature=player_detailpage
3rd rowhttps://www.youtube.com/embed/TqZdC-UUT7M?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/hzfuiv_lo2y?feature=player_detailpage 2
66.7%
https://www.youtube.com/embed/tqzdc-uut7m?feature=player_detailpage 1
33.3%
2023-12-13T08:16:26.238510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 24
 
11.9%
t 15
 
7.5%
a 12
 
6.0%
/ 12
 
6.0%
u 9
 
4.5%
p 9
 
4.5%
w 9
 
4.5%
o 8
 
4.0%
d 7
 
3.5%
y 6
 
3.0%
Other values (28) 90
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 148
73.6%
Other Punctuation 24
 
11.9%
Uppercase Letter 17
 
8.5%
Connector Punctuation 5
 
2.5%
Math Symbol 3
 
1.5%
Decimal Number 3
 
1.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 24
16.2%
t 15
 
10.1%
a 12
 
8.1%
u 9
 
6.1%
p 9
 
6.1%
w 9
 
6.1%
o 8
 
5.4%
d 7
 
4.7%
y 6
 
4.1%
l 6
 
4.1%
Other values (11) 43
29.1%
Uppercase Letter
ValueCountFrequency (%)
U 4
23.5%
Z 3
17.6%
L 2
11.8%
Y 2
11.8%
H 2
11.8%
T 2
11.8%
C 1
 
5.9%
M 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 12
50.0%
. 6
25.0%
? 3
 
12.5%
: 3
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
7 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 165
82.1%
Common 36
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 24
 
14.5%
t 15
 
9.1%
a 12
 
7.3%
u 9
 
5.5%
p 9
 
5.5%
w 9
 
5.5%
o 8
 
4.8%
d 7
 
4.2%
y 6
 
3.6%
l 6
 
3.6%
Other values (19) 60
36.4%
Common
ValueCountFrequency (%)
/ 12
33.3%
. 6
16.7%
_ 5
13.9%
= 3
 
8.3%
? 3
 
8.3%
: 3
 
8.3%
2 2
 
5.6%
- 1
 
2.8%
7 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 24
 
11.9%
t 15
 
7.5%
a 12
 
6.0%
/ 12
 
6.0%
u 9
 
4.5%
p 9
 
4.5%
w 9
 
4.5%
o 8
 
4.0%
d 7
 
3.5%
y 6
 
3.0%
Other values (28) 90
44.8%

교육자료5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-13T08:16:26.445860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters67
Distinct characters32
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/embed/JQ0m1kCgdWo?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/jq0m1kcgdwo?feature=player_detailpage 1
100.0%
2023-12-13T08:16:26.750676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8
 
11.9%
t 5
 
7.5%
/ 4
 
6.0%
a 4
 
6.0%
o 3
 
4.5%
p 3
 
4.5%
d 3
 
4.5%
w 3
 
4.5%
m 3
 
4.5%
u 3
 
4.5%
Other values (22) 28
41.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 51
76.1%
Other Punctuation 8
 
11.9%
Uppercase Letter 4
 
6.0%
Decimal Number 2
 
3.0%
Math Symbol 1
 
1.5%
Connector Punctuation 1
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
15.7%
t 5
 
9.8%
a 4
 
7.8%
o 3
 
5.9%
p 3
 
5.9%
d 3
 
5.9%
w 3
 
5.9%
m 3
 
5.9%
u 3
 
5.9%
g 2
 
3.9%
Other values (10) 14
27.5%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
? 1
 
12.5%
: 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
J 1
25.0%
C 1
25.0%
Q 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55
82.1%
Common 12
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
14.5%
t 5
 
9.1%
a 4
 
7.3%
o 3
 
5.5%
p 3
 
5.5%
d 3
 
5.5%
w 3
 
5.5%
m 3
 
5.5%
u 3
 
5.5%
g 2
 
3.6%
Other values (14) 18
32.7%
Common
ValueCountFrequency (%)
/ 4
33.3%
. 2
16.7%
? 1
 
8.3%
= 1
 
8.3%
_ 1
 
8.3%
1 1
 
8.3%
0 1
 
8.3%
: 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 8
 
11.9%
t 5
 
7.5%
/ 4
 
6.0%
a 4
 
6.0%
o 3
 
4.5%
p 3
 
4.5%
d 3
 
4.5%
w 3
 
4.5%
m 3
 
4.5%
u 3
 
4.5%
Other values (22) 28
41.8%

교육자료6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-13T08:16:26.961111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters67
Distinct characters32
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/embed/ItGNVdVBRqg?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/itgnvdvbrqg?feature=player_detailpage 1
100.0%
2023-12-13T08:16:27.274088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8
 
11.9%
t 6
 
9.0%
/ 4
 
6.0%
a 4
 
6.0%
p 3
 
4.5%
d 3
 
4.5%
w 3
 
4.5%
u 3
 
4.5%
b 2
 
3.0%
m 2
 
3.0%
Other values (22) 29
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50
74.6%
Other Punctuation 8
 
11.9%
Uppercase Letter 7
 
10.4%
Math Symbol 1
 
1.5%
Connector Punctuation 1
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
16.0%
t 6
12.0%
a 4
 
8.0%
p 3
 
6.0%
d 3
 
6.0%
w 3
 
6.0%
u 3
 
6.0%
b 2
 
4.0%
m 2
 
4.0%
o 2
 
4.0%
Other values (10) 14
28.0%
Uppercase Letter
ValueCountFrequency (%)
V 2
28.6%
I 1
14.3%
R 1
14.3%
B 1
14.3%
N 1
14.3%
G 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
? 1
 
12.5%
: 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57
85.1%
Common 10
 
14.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
 
14.0%
t 6
 
10.5%
a 4
 
7.0%
p 3
 
5.3%
d 3
 
5.3%
w 3
 
5.3%
u 3
 
5.3%
b 2
 
3.5%
m 2
 
3.5%
V 2
 
3.5%
Other values (16) 21
36.8%
Common
ValueCountFrequency (%)
/ 4
40.0%
. 2
20.0%
= 1
 
10.0%
_ 1
 
10.0%
? 1
 
10.0%
: 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 8
 
11.9%
t 6
 
9.0%
/ 4
 
6.0%
a 4
 
6.0%
p 3
 
4.5%
d 3
 
4.5%
w 3
 
4.5%
u 3
 
4.5%
b 2
 
3.0%
m 2
 
3.0%
Other values (22) 29
43.3%

교육자료7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-13T08:16:27.470530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters67
Distinct characters34
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/embed/Be0Fe7G5KEA?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/be0fe7g5kea?feature=player_detailpage 1
100.0%
2023-12-13T08:16:27.809862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 10
 
14.9%
t 5
 
7.5%
a 4
 
6.0%
/ 4
 
6.0%
p 3
 
4.5%
w 3
 
4.5%
u 3
 
4.5%
b 2
 
3.0%
d 2
 
3.0%
m 2
 
3.0%
Other values (24) 29
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 48
71.6%
Other Punctuation 8
 
11.9%
Uppercase Letter 6
 
9.0%
Decimal Number 3
 
4.5%
Math Symbol 1
 
1.5%
Connector Punctuation 1
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10
20.8%
t 5
10.4%
a 4
 
8.3%
p 3
 
6.2%
w 3
 
6.2%
u 3
 
6.2%
b 2
 
4.2%
d 2
 
4.2%
m 2
 
4.2%
l 2
 
4.2%
Other values (9) 12
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
16.7%
A 1
16.7%
K 1
16.7%
G 1
16.7%
F 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
? 1
 
12.5%
: 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
5 1
33.3%
7 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 54
80.6%
Common 13
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10
18.5%
t 5
 
9.3%
a 4
 
7.4%
p 3
 
5.6%
w 3
 
5.6%
u 3
 
5.6%
b 2
 
3.7%
d 2
 
3.7%
m 2
 
3.7%
l 2
 
3.7%
Other values (15) 18
33.3%
Common
ValueCountFrequency (%)
/ 4
30.8%
. 2
15.4%
? 1
 
7.7%
= 1
 
7.7%
_ 1
 
7.7%
0 1
 
7.7%
5 1
 
7.7%
7 1
 
7.7%
: 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 10
 
14.9%
t 5
 
7.5%
a 4
 
6.0%
/ 4
 
6.0%
p 3
 
4.5%
w 3
 
4.5%
u 3
 
4.5%
b 2
 
3.0%
d 2
 
3.0%
m 2
 
3.0%
Other values (24) 29
43.3%

교육자료8
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
2023-12-13T08:16:27.991907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters67
Distinct characters32
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/embed/B_3Ch-wjL_E?feature=player_detailpage
ValueCountFrequency (%)
https://www.youtube.com/embed/b_3ch-wjl_e?feature=player_detailpage 1
100.0%
2023-12-13T08:16:28.357934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8
 
11.9%
t 5
 
7.5%
a 4
 
6.0%
/ 4
 
6.0%
w 4
 
6.0%
p 3
 
4.5%
_ 3
 
4.5%
u 3
 
4.5%
h 2
 
3.0%
r 2
 
3.0%
Other values (22) 29
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 49
73.1%
Other Punctuation 8
 
11.9%
Uppercase Letter 4
 
6.0%
Connector Punctuation 3
 
4.5%
Math Symbol 1
 
1.5%
Dash Punctuation 1
 
1.5%
Decimal Number 1
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
16.3%
t 5
 
10.2%
a 4
 
8.2%
w 4
 
8.2%
p 3
 
6.1%
u 3
 
6.1%
h 2
 
4.1%
r 2
 
4.1%
d 2
 
4.1%
m 2
 
4.1%
Other values (10) 14
28.6%
Other Punctuation
ValueCountFrequency (%)
/ 4
50.0%
. 2
25.0%
? 1
 
12.5%
: 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
B 1
25.0%
L 1
25.0%
C 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53
79.1%
Common 14
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
15.1%
t 5
 
9.4%
a 4
 
7.5%
w 4
 
7.5%
p 3
 
5.7%
u 3
 
5.7%
h 2
 
3.8%
r 2
 
3.8%
d 2
 
3.8%
m 2
 
3.8%
Other values (14) 18
34.0%
Common
ValueCountFrequency (%)
/ 4
28.6%
_ 3
21.4%
. 2
14.3%
= 1
 
7.1%
? 1
 
7.1%
- 1
 
7.1%
3 1
 
7.1%
: 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 8
 
11.9%
t 5
 
7.5%
a 4
 
6.0%
/ 4
 
6.0%
w 4
 
6.0%
p 3
 
4.5%
_ 3
 
4.5%
u 3
 
4.5%
h 2
 
3.0%
r 2
 
3.0%
Other values (22) 29
43.3%

Correlations

2023-12-13T08:16:28.483939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자제목내용요약교육자료1교육자료2교육자료3교육자료4
일자1.0001.0001.0001.0001.0001.0001.000
제목1.0001.0001.0001.0001.0001.0001.000
내용요약1.0001.0001.0001.0001.0001.0001.000
교육자료11.0001.0001.0001.0001.0001.0000.000
교육자료21.0001.0001.0001.0001.0001.0000.000
교육자료31.0001.0001.0001.0001.0001.0000.000
교육자료41.0001.0001.0000.0000.0000.0001.000

Missing values

2023-12-13T08:16:22.140510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:16:22.274957image/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.
2023-12-13T08:16:22.652729image/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

일자제목내용요약교육자료1교육자료2교육자료3교육자료4교육자료5교육자료6교육자료7교육자료8
02023-01-05김지섭 의거(1924)1924년 1월 5일 조국 독립을 위해 일왕 궁성의 이중교(二重橋)를 향해 폭탄 3개를 투하하였으나, 그 기능이 작동하지 않아 불발되었고 붙잡힘. 이후 옥중에서 단식투쟁을 하다가 1928년 2월 지바형무소에서 44세로 순국하였음<NA><NA><NA><NA><NA><NA><NA><NA>
12023-01-08이봉창 의거(1932)1932년 1월 8일 일본 도쿄에서 한인 애국단원 이봉창이 일왕 히로히토에게 폭탄을 던진 사건<NA><NA><NA><NA><NA><NA><NA><NA>
22023-01-12김상옥 의거(1923)1923년 1월 12일 의열단원 김상옥이 많은 독립운동가를 잡아 고문하던 당시 종로경찰서에 폭탄을 던진 의거일<NA><NA><NA><NA><NA><NA><NA><NA>
32023-01-29국채보상운동 시작(1907)일제가 제공한 차관 1,300만원을 국민들이 모금하여 갚고자 한 운동<NA><NA><NA><NA><NA><NA><NA><NA>
42023-02-082·8 독립선언(1919, 도쿄)1919년 2월 8일, 일본에서 유학 중이던 한국인 남녀학생들이 한국의 독립을 요구하는 선언서와 결의문을 선포한 사건https://www.youtube.com/embed/qxG-AZjPZcg?feature=player_detailpagehttps://www.youtube.com/embed/mZafSs6zw-A?feature=player_detailpagehttps://www.youtube.com/embed/eWQf-JU6Aq8?feature=player_detailpagehttps://www.youtube.com/embed/HZfUiv_Lo2Y?feature=player_detailpage<NA><NA><NA><NA>
52023-02-282·28 민주운동 기념일(1960)1960년 2월 28일 대구 지역의 8개교 1,720여명의 학생들의 주도하에 자유당 정권의 독재와 부정선거에 맞서 전개한 민주화 운동<NA><NA><NA><NA><NA><NA><NA><NA>
62023-03-013·1절 (1919)“우리는 여기에 우리 조선이 독립된 나라인 것과 조선 사람이 주인임을 선언하노라.” 1919년 3월 1일 정오, 독립선언문 발표와 함께 일어난 전국적인 독립만세운동https://www.youtube.com/embed/qxG-AZjPZcg?feature=player_detailpagehttps://www.youtube.com/embed/mZafSs6zw-A?feature=player_detailpagehttps://www.youtube.com/embed/eWQf-JU6Aq8?feature=player_detailpagehttps://www.youtube.com/embed/HZfUiv_Lo2Y?feature=player_detailpage<NA><NA><NA><NA>
72023-03-083·8 민주의거 기념일(1960)1960년 3월 대전고와 대전상고 학생들이 자유와 민주주의 수호를 위해 시위를 벌이고 결의문을 선포<NA><NA><NA><NA><NA><NA><NA><NA>
82023-03-153·15의거 기념일(1960)1960년 3월 15일, 관권과 금권을 동원한 자유당 정권의 부정선거에 마산 시민과 학생들이 선거의 무효를 주장하며 항거한 날https://www.youtube.com/embed/BzlPfI8Vmdg?feature=player_detailpage<NA><NA><NA><NA><NA><NA><NA>
92023-03-26안중근 의사 순국(1910), 천안함 폭침(2010)(천안함 폭침)2010. 3.26 21:22분 경 백령도 해상에서 경계 임무수행 중이던 해군 소속 천안함이 북한 잠수정의 기습 어뢰공격으로 침몰하여, 승조원 104명중 46명이 전사하고 58명이 구조된 사건<NA><NA><NA><NA><NA><NA><NA><NA>
일자제목내용요약교육자료1교육자료2교육자료3교육자료4교육자료5교육자료6교육자료7교육자료8
232023-09-02강우규 의거(1919)1919년 9월 2일, 강의규 의사가 남대문역 광장에서 조선총독으로 부임할 사이토 등을 향해 폭탄을 던진 의거일<NA><NA><NA><NA><NA><NA><NA><NA>
242023-09-15인천상륙작전(1950)1950년 9월 15일 국제연합(UN)군이 맥아더의 지휘 아래 인천에 상륙하여 6ㆍ25전쟁의 전세를 뒤바꾼 군사작전<NA><NA><NA><NA><NA><NA><NA><NA>
252023-09-28서울수복(1950)인천상륙작전 성공으로 1950년 9월 28일 6.25전쟁 발발 90일만에 우리 국군이 수도 서울을 수복한 날<NA><NA><NA><NA><NA><NA><NA><NA>
262023-10-08재향군인의 날국토방위에 대한 인식을 새롭게 하고 재향군인 상호간의 친목을 도모하기 위해 제정한 날<NA><NA><NA><NA><NA><NA><NA><NA>
272023-11-03학생독립운동기념일(1929)일제 강점기에 일어난 학생 항일 독립운동의 정신을 계승, 발전시켜 학생들에게 자율역량과 애국심을 함양시킬 목적으로 제정한 법정 기념일<NA><NA><NA><NA><NA><NA><NA><NA>
282023-11-11턴 투워드 부산(UN 참전용사 국제 추모일)6·25전쟁 UN군 전사자의 희생과 헌신을 기억하기 위해 11월 11일 11시(한국시간) 1분간 추모의 묵념을 하는 날https://youtu.be/rb-ua4yhQfs<NA><NA><NA><NA><NA><NA><NA>
292023-11-17순국선열의 날 / 을사늑약(1905)일제에 침탈당한 국권회복을 위해 항일투쟁으로 순국한 선열들의 얼과 위훈을 기념하고자 1939년 11월 21일 대한민국임시정부의 임시의정원 회의에서 11월 17일을 임시정부의 법정기념일로 제정<NA><NA><NA><NA><NA><NA><NA><NA>
302023-11-23연평도 포격도발(2010)2010년 11월 23일 오후, 북한이 연평도를 향해 포격을 가한 사건으로 우리 군과 민간인 등 4명이 사망한 사건<NA><NA><NA><NA><NA><NA><NA><NA>
312023-12-22이재명 의거(1909)1909년 명동성당에서 벨기에 황제의 추도식을 마치고 나오는 이완용을 척살하려다 중상을 입히고 현장에서 체포되어 이듬해에 순국<NA><NA><NA><NA><NA><NA><NA><NA>
322023-12-28나석주 의거(1926)"경북 의열단 사건"의 결심 공판일이던 1923년 12월 28일, 의열단원 나석주의사가 서울 한복판 남대문 부근의 조선식산은행과 동양척식주식회사 경성지점에 돌입하여 폭탄 한 발을 던지고 경부보 등 일본인 7명을 총격 살상한 후 자결한 의거<NA><NA><NA><NA><NA><NA><NA><NA>