Overview

Dataset statistics

Number of variables6
Number of observations1021
Missing cells968
Missing cells (%)15.8%
Duplicate rows27
Duplicate rows (%)2.6%
Total size in memory48.0 KiB
Average record size in memory48.1 B

Variable types

Text3
DateTime2
Categorical1

Dataset

Description여성사전시관영상물정보(영상물 제목명, 영상물 매체 분류명, 제작사명, 비고, 데이터 기준일자)를 제공합니다.
Author여성가족부
URLhttps://www.data.go.kr/data/15085861/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 27 (2.6%) duplicate rowsDuplicates
비고 is highly imbalanced (88.3%)Imbalance
영상물매체분류명 has 520 (50.9%) missing valuesMissing
제작일자 has 312 (30.6%) missing valuesMissing
제작사명 has 134 (13.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:07:02.417107
Analysis finished2023-12-12 18:07:03.435998
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영상물제목명
Text

Distinct972
Distinct (%)95.4%
Missing2
Missing (%)0.2%
Memory size8.1 KiB
2023-12-13T03:07:03.762431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length46
Mean length15.720314
Min length1

Characters and Unicode

Total characters16019
Distinct characters737
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique938 ?
Unique (%)92.1%

Sample

1st row(508회)사라진 꿈, 여성총리
2nd row1950년대 여자이미지들
3rd row1950년대 유행가 소장유물전
4th row19회. 건축가 김진애/가족과 호주제 전시회
5th row1... 일상 새로운 상상 메이킹 영상
ValueCountFrequency (%)
77
 
2.3%
여성문화해설사 35
 
1.0%
양성과정 35
 
1.0%
여성의 28
 
0.8%
여성 19
 
0.6%
the 19
 
0.6%
of 18
 
0.5%
영상구술사 16
 
0.5%
1 16
 
0.5%
그 14
 
0.4%
Other values (2315) 3104
91.8%
2023-12-13T03:07:04.483179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2366
 
14.8%
e 319
 
2.0%
성 283
 
1.8%
( 265
 
1.7%
) 265
 
1.7%
여 256
 
1.6%
의 255
 
1.6%
a 206
 
1.3%
i 199
 
1.2%
사 198
 
1.2%
Other values (727) 11407
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8964
56.0%
Space Separator 2366
 
14.8%
Lowercase Letter 2277
 
14.2%
Decimal Number 661
 
4.1%
Uppercase Letter 615
 
3.8%
Other Punctuation 393
 
2.5%
Open Punctuation 265
 
1.7%
Close Punctuation 265
 
1.7%
Dash Punctuation 177
 
1.1%
Math Symbol 33
 
0.2%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 283
 
3.2%
여 256
 
2.9%
의 255
 
2.8%
사 198
 
2.2%
이 173
 
1.9%
리 118
 
1.3%
다 117
 
1.3%
가 112
 
1.2%
영 101
 
1.1%
시 100
 
1.1%
Other values (648) 7251
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 319
14.0%
a 206
 
9.0%
i 199
 
8.7%
r 188
 
8.3%
n 177
 
7.8%
o 177
 
7.8%
s 132
 
5.8%
t 128
 
5.6%
l 105
 
4.6%
h 95
 
4.2%
Other values (15) 551
24.2%
Uppercase Letter
ValueCountFrequency (%)
T 70
 
11.4%
S 61
 
9.9%
M 44
 
7.2%
C 36
 
5.9%
A 36
 
5.9%
F 34
 
5.5%
B 34
 
5.5%
D 33
 
5.4%
R 30
 
4.9%
L 28
 
4.6%
Other values (15) 209
34.0%
Decimal Number
ValueCountFrequency (%)
1 166
25.1%
2 150
22.7%
0 117
17.7%
3 50
 
7.6%
4 35
 
5.3%
8 32
 
4.8%
5 32
 
4.8%
7 27
 
4.1%
9 27
 
4.1%
6 25
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 159
40.5%
. 116
29.5%
/ 58
 
14.8%
! 20
 
5.1%
? 15
 
3.8%
: 10
 
2.5%
" 6
 
1.5%
& 5
 
1.3%
… 2
 
0.5%
＆ 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 29
87.9%
< 3
 
9.1%
~ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
2366
100.0%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8949
55.9%
Common 4162
26.0%
Latin 2893
 
18.1%
Han 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 283
 
3.2%
여 256
 
2.9%
의 255
 
2.8%
사 198
 
2.2%
이 173
 
1.9%
리 118
 
1.3%
다 117
 
1.3%
가 112
 
1.3%
영 101
 
1.1%
시 100
 
1.1%
Other values (638) 7236
80.9%
Latin
ValueCountFrequency (%)
e 319
 
11.0%
a 206
 
7.1%
i 199
 
6.9%
r 188
 
6.5%
n 177
 
6.1%
o 177
 
6.1%
s 132
 
4.6%
t 128
 
4.4%
l 105
 
3.6%
h 95
 
3.3%
Other values (41) 1167
40.3%
Common
ValueCountFrequency (%)
2366
56.8%
( 265
 
6.4%
) 265
 
6.4%
- 177
 
4.3%
1 166
 
4.0%
, 159
 
3.8%
2 150
 
3.6%
0 117
 
2.8%
. 116
 
2.8%
/ 58
 
1.4%
Other values (18) 323
 
7.8%
Han
ValueCountFrequency (%)
性 4
26.7%
車 3
20.0%
茶 1
 
6.7%
無 1
 
6.7%
父 1
 
6.7%
新 1
 
6.7%
仁 1
 
6.7%
義 1
 
6.7%
智 1
 
6.7%
禮 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8949
55.9%
ASCII 7050
44.0%
CJK 13
 
0.1%
Punctuation 2
 
< 0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2366
33.6%
e 319
 
4.5%
( 265
 
3.8%
) 265
 
3.8%
a 206
 
2.9%
i 199
 
2.8%
r 188
 
2.7%
- 177
 
2.5%
n 177
 
2.5%
o 177
 
2.5%
Other values (66) 2711
38.5%
Hangul
ValueCountFrequency (%)
성 283
 
3.2%
여 256
 
2.9%
의 255
 
2.8%
사 198
 
2.2%
이 173
 
1.9%
리 118
 
1.3%
다 117
 
1.3%
가 112
 
1.3%
영 101
 
1.1%
시 100
 
1.1%
Other values (638) 7236
80.9%
CJK
ValueCountFrequency (%)
性 4
30.8%
車 3
23.1%
無 1
 
7.7%
父 1
 
7.7%
新 1
 
7.7%
仁 1
 
7.7%
義 1
 
7.7%
智 1
 
7.7%
Punctuation
ValueCountFrequency (%)
… 2
100.0%
None
ValueCountFrequency (%)
＆ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
50.0%
禮 1
50.0%

영상물매체분류명
Text

MISSING 

Distinct150
Distinct (%)29.9%
Missing520
Missing (%)50.9%
Memory size8.1 KiB
2023-12-13T03:07:04.904062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length10.682635
Min length2

Characters and Unicode

Total characters5352
Distinct characters317
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)15.4%

Sample

1st rowPD수첩
2nd row여성이 쓰는 문화이야기
3rd row2009 여성사 전시관 특별기획전
4th row2009 여성사 전시관 특별기획전
5th row2009 여성사 전시관 특별기획전
ValueCountFrequency (%)
시간여행 37
 
3.1%
역사속으로 37
 
3.1%
세계의 27
 
2.3%
여성이 27
 
2.3%
쓰는 27
 
2.3%
문화이야기 27
 
2.3%
2006 27
 
2.3%
한국100년 25
 
2.1%
우리는 25
 
2.1%
이렇게 25
 
2.1%
Other values (296) 910
76.2%
2023-12-13T03:07:05.506572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
696
 
13.0%
0 189
 
3.5%
성 163
 
3.0%
여 157
 
2.9%
사 135
 
2.5%
이 121
 
2.3%
의 85
 
1.6%
기 81
 
1.5%
스 81
 
1.5%
시 78
 
1.5%
Other values (307) 3566
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3766
70.4%
Space Separator 696
 
13.0%
Decimal Number 421
 
7.9%
Uppercase Letter 280
 
5.2%
Lowercase Letter 109
 
2.0%
Other Punctuation 42
 
0.8%
Open Punctuation 16
 
0.3%
Close Punctuation 16
 
0.3%
Dash Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 163
 
4.3%
여 157
 
4.2%
사 135
 
3.6%
이 121
 
3.2%
의 85
 
2.3%
기 81
 
2.2%
스 81
 
2.2%
시 78
 
2.1%
페 77
 
2.0%
셜 76
 
2.0%
Other values (260) 2712
72.0%
Uppercase Letter
ValueCountFrequency (%)
B 75
26.8%
S 54
19.3%
C 40
14.3%
M 28
 
10.0%
K 21
 
7.5%
E 21
 
7.5%
W 9
 
3.2%
G 7
 
2.5%
D 6
 
2.1%
V 6
 
2.1%
Other values (4) 13
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
e 19
17.4%
t 19
17.4%
r 15
13.8%
i 9
8.3%
s 9
8.3%
n 8
7.3%
o 8
7.3%
m 7
 
6.4%
a 7
 
6.4%
l 2
 
1.8%
Other values (4) 6
 
5.5%
Decimal Number
ValueCountFrequency (%)
0 189
44.9%
2 76
18.1%
1 62
 
14.7%
6 35
 
8.3%
9 17
 
4.0%
3 13
 
3.1%
5 10
 
2.4%
4 8
 
1.9%
8 8
 
1.9%
7 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 27
64.3%
. 9
 
21.4%
/ 4
 
9.5%
! 2
 
4.8%
Space Separator
ValueCountFrequency (%)
696
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3743
69.9%
Common 1197
 
22.4%
Latin 389
 
7.3%
Han 23
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 163
 
4.4%
여 157
 
4.2%
사 135
 
3.6%
이 121
 
3.2%
의 85
 
2.3%
기 81
 
2.2%
스 81
 
2.2%
시 78
 
2.1%
페 77
 
2.1%
셜 76
 
2.0%
Other values (258) 2689
71.8%
Latin
ValueCountFrequency (%)
B 75
19.3%
S 54
13.9%
C 40
10.3%
M 28
 
7.2%
K 21
 
5.4%
E 21
 
5.4%
e 19
 
4.9%
t 19
 
4.9%
r 15
 
3.9%
W 9
 
2.3%
Other values (18) 88
22.6%
Common
ValueCountFrequency (%)
696
58.1%
0 189
 
15.8%
2 76
 
6.3%
1 62
 
5.2%
6 35
 
2.9%
, 27
 
2.3%
9 17
 
1.4%
( 16
 
1.3%
) 16
 
1.3%
3 13
 
1.1%
Other values (9) 50
 
4.2%
Han
ValueCountFrequency (%)
性 16
69.6%
新 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3743
69.9%
ASCII 1586
29.6%
CJK 23
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
696
43.9%
0 189
 
11.9%
2 76
 
4.8%
B 75
 
4.7%
1 62
 
3.9%
S 54
 
3.4%
C 40
 
2.5%
6 35
 
2.2%
M 28
 
1.8%
, 27
 
1.7%
Other values (37) 304
19.2%
Hangul
ValueCountFrequency (%)
성 163
 
4.4%
여 157
 
4.2%
사 135
 
3.6%
이 121
 
3.2%
의 85
 
2.3%
기 81
 
2.2%
스 81
 
2.2%
시 78
 
2.1%
페 77
 
2.1%
셜 76
 
2.0%
Other values (258) 2689
71.8%
CJK
ValueCountFrequency (%)
性 16
69.6%
新 7
30.4%

제작일자
Date

MISSING 

Distinct215
Distinct (%)30.3%
Missing312
Missing (%)30.6%
Memory size8.1 KiB
Minimum1956-01-01 00:00:00
Maximum2018-01-01 00:00:00
2023-12-13T03:07:05.701226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:07:05.925098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제작사명
Text

MISSING 

Distinct160
Distinct (%)18.0%
Missing134
Missing (%)13.1%
Memory size8.1 KiB
2023-12-13T03:07:06.178332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length5.3540023
Min length2

Characters and Unicode

Total characters4749
Distinct characters282
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)10.8%

Sample

1st rowMBC
2nd row여성사 전시관
3rd row여성사 전시관
4th row여성사 전시관
5th rowMBC
ValueCountFrequency (%)
kbs 176
18.2%
여성사전시관 92
 
9.5%
mbc 84
 
8.7%
sbs 60
 
6.2%
태원엔터테인먼트 37
 
3.8%
인디스토리 35
 
3.6%
여성사 31
 
3.2%
전시관 31
 
3.2%
ebs 26
 
2.7%
청춘극장 25
 
2.6%
Other values (181) 371
38.3%
2023-12-13T03:07:06.647073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 349
 
7.3%
S 326
 
6.9%
여 186
 
3.9%
K 181
 
3.8%
성 171
 
3.6%
시 162
 
3.4%
사 142
 
3.0%
전 131
 
2.8%
관 130
 
2.7%
인 121
 
2.5%
Other values (272) 2850
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3256
68.6%
Uppercase Letter 1268
 
26.7%
Lowercase Letter 105
 
2.2%
Space Separator 81
 
1.7%
Other Punctuation 20
 
0.4%
Decimal Number 8
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 186
 
5.7%
성 171
 
5.3%
시 162
 
5.0%
사 142
 
4.4%
전 131
 
4.0%
관 130
 
4.0%
인 121
 
3.7%
스 96
 
2.9%
디 94
 
2.9%
트 93
 
2.9%
Other values (220) 1930
59.3%
Uppercase Letter
ValueCountFrequency (%)
B 349
27.5%
S 326
25.7%
K 181
14.3%
M 103
 
8.1%
C 90
 
7.1%
V 48
 
3.8%
D 41
 
3.2%
E 33
 
2.6%
T 32
 
2.5%
R 30
 
2.4%
Other values (14) 35
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
i 15
14.3%
n 13
12.4%
e 11
10.5%
g 11
10.5%
o 10
9.5%
t 7
 
6.7%
l 7
 
6.7%
a 5
 
4.8%
r 4
 
3.8%
d 4
 
3.8%
Other values (9) 18
17.1%
Other Punctuation
ValueCountFrequency (%)
& 11
55.0%
, 7
35.0%
. 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 4
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3259
68.6%
Latin 1373
28.9%
Common 117
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 186
 
5.7%
성 171
 
5.2%
시 162
 
5.0%
사 142
 
4.4%
전 131
 
4.0%
관 130
 
4.0%
인 121
 
3.7%
스 96
 
2.9%
디 94
 
2.9%
트 93
 
2.9%
Other values (221) 1933
59.3%
Latin
ValueCountFrequency (%)
B 349
25.4%
S 326
23.7%
K 181
13.2%
M 103
 
7.5%
C 90
 
6.6%
V 48
 
3.5%
D 41
 
3.0%
E 33
 
2.4%
T 32
 
2.3%
R 30
 
2.2%
Other values (33) 140
10.2%
Common
ValueCountFrequency (%)
81
69.2%
& 11
 
9.4%
, 7
 
6.0%
1 4
 
3.4%
2 4
 
3.4%
) 4
 
3.4%
( 4
 
3.4%
. 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3256
68.6%
ASCII 1490
31.4%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 349
23.4%
S 326
21.9%
K 181
12.1%
M 103
 
6.9%
C 90
 
6.0%
81
 
5.4%
V 48
 
3.2%
D 41
 
2.8%
E 33
 
2.2%
T 32
 
2.1%
Other values (41) 206
13.8%
Hangul
ValueCountFrequency (%)
여 186
 
5.7%
성 171
 
5.3%
시 162
 
5.0%
사 142
 
4.4%
전 131
 
4.0%
관 130
 
4.0%
인 121
 
3.7%
스 96
 
2.9%
디 94
 
2.9%
트 93
 
2.9%
Other values (220) 1930
59.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%

비고
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
955 
60시간
 
46
40시간
 
2
70시간
 
2
20시간
 
2
Other values (12)
 
14

Length

Max length5
Median length4
Mean length4.0029383
Min length2

Unique

Unique10 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 955
93.5%
60시간 46
 
4.5%
40시간 2
 
0.2%
70시간 2
 
0.2%
20시간 2
 
0.2%
45시간 2
 
0.2%
90시간 2
 
0.2%
121시간 1
 
0.1%
32시간 1
 
0.1%
7장 1
 
0.1%
Other values (7) 7
 
0.7%

Length

2023-12-13T03:07:06.830322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 955
93.5%
60시간 46
 
4.5%
40시간 2
 
0.2%
70시간 2
 
0.2%
20시간 2
 
0.2%
45시간 2
 
0.2%
90시간 2
 
0.2%
120시간 1
 
0.1%
104시간 1
 
0.1%
23시간 1
 
0.1%
Other values (7) 7
 
0.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2021-08-09 00:00:00
Maximum2021-08-09 00:00:00
2023-12-13T03:07:06.971870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:07:07.102175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T03:07:03.108533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:07:03.230046image/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.
2023-12-13T03:07:03.344952image/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

영상물제목명영상물매체분류명제작일자제작사명비고데이터기준일자
0(508회)사라진 꿈, 여성총리PD수첩<NA>MBC<NA>2021-08-09
11950년대 여자이미지들<NA><NA><NA><NA>2021-08-09
21950년대 유행가 소장유물전<NA><NA><NA><NA>2021-08-09
319회. 건축가 김진애/가족과 호주제 전시회여성이 쓰는 문화이야기<NA><NA><NA>2021-08-09
41... 일상 새로운 상상 메이킹 영상2009 여성사 전시관 특별기획전<NA>여성사 전시관<NA>2021-08-09
51... 일상 새로운 상상 메이킹 영상2009 여성사 전시관 특별기획전<NA>여성사 전시관<NA>2021-08-09
61... 일상 새로운 상상 메이킹 영상2009 여성사 전시관 특별기획전<NA>여성사 전시관<NA>2021-08-09
71부 - 희망찾아 아메리카로하와이이민 100년<NA>MBC<NA>2021-08-09
81편. 마지막 마방, 2편. 순례의 길, 3편. 생명의 차(茶)차마고도<NA>KBS<NA>2021-08-09
92005 교육프로그램 3편(사라본, 카메라로 쓰는 여성의 역사, 성인지문화예술 교육매개자 워크숍)<NA><NA>여성사전시관<NA>2021-08-09
영상물제목명영상물매체분류명제작일자제작사명비고데이터기준일자
1011시간으로부터의 해방20C 한국사해방1999-08KBS<NA>2021-08-09
1012대형참사한국100년, 우리는 이렇게 살았다1999-09MBC60시간2021-08-09
1013사형한국100년, 우리는 이렇게 살았다1999-09MBC60시간2021-08-09
1014소주, 서민의 술한국100년, 우리는 이렇게 살았다1999-09MBC60시간2021-08-09
1015반도로부터의 해방20C 한국사해방1999-09KBS<NA>2021-08-09
1016아들낳기 100년한국100년, 우리는 이렇게 살았다1999-09MBC60시간2021-08-09
1017명당한국100년, 우리는 이렇게 살았다1999-10MBC60시간2021-08-09
1018미국을 감동시킨 한인 여성 장관 전신애수요기획1999-10KBS<NA>2021-08-09
1019한많은 어머니의 삶일요스페셜1999-11KBS<NA>2021-08-09
1020정부인 장씨 저"음식디미방"역사스페셜1999-12KBS<NA>2021-08-09

Duplicate rows

Most frequently occurring

영상물제목명영상물매체분류명제작일자제작사명비고데이터기준일자# duplicates
5그 많은 일들을 누가다할까<NA><NA>여성사전시관<NA>2021-08-095
25헤쳐걷기<NA><NA>여성사 전시관<NA>2021-08-095
21... 일상 새로운 상상 메이킹 영상2009 여성사 전시관 특별기획전<NA>여성사 전시관<NA>2021-08-093
9너의 열정에 모터를 달고(윤희문 뮤직비디오)여성사 전시관 선-녀전<NA><NA><NA>2021-08-093
14식문화변천사 CF모음<NA><NA><NA><NA>2021-08-093
17역사의 문을 열고청소년 양성평등 교육교재 보조 자료<NA>한국양성평등교육진흥원<NA>2021-08-093
18워킹 맘마미아 making2010 여성사 전시관 특별기획전<NA>여성사 전시관<NA>2021-08-093
22제7회 여성주간 여성의 노래, 그리고 힘<NA><NA>21세기여성미디어네트워크,신주부캠페인추진본부<NA>2021-08-093
26황홀경(연출:김소영)<NA>2003-01포비영상<NA>2021-08-093
0(영상으로 본 여성의 몸) 미인시대<NA>2002-12(사)한국여성연구소20시간2021-08-092