Overview

Dataset statistics

Number of variables12
Number of observations5495
Missing cells1143
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory520.7 KiB
Average record size in memory97.0 B

Variable types

Text7
Categorical4
Numeric1

Dataset

Description한국정책방송원 e영상역사관의 국가기록영상 목록 데이터로 제목, 분류, 출처정보, 제작일 등의 데이터를 제공합니다.
Author문화체육관광부 한국정책방송원
URLhttps://www.data.go.kr/data/15050742/fileData.do

Alerts

대분류 has constant value ""Constant
중분류 is highly overall correlated with 메뉴코드 and 1 other fieldsHigh correlation
등록일 is highly overall correlated with 메뉴코드 and 1 other fieldsHigh correlation
메뉴코드 is highly overall correlated with 중분류 and 1 other fieldsHigh correlation
키워드 has 815 (14.8%) missing valuesMissing
섬네일주소 has 328 (6.0%) missing valuesMissing
고유키 has unique valuesUnique
링크주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:17:48.164001
Analysis finished2024-04-21 01:17:51.257283
Duration3.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유키
Text

UNIQUE 

Distinct5495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2024-04-21T10:17:51.414145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.164331
Min length12

Characters and Unicode

Total characters83328
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5495 ?
Unique (%)100.0%

Sample

1st rowDT_12617_29594
2nd rowDT_12618_29595
3rd rowDT_1267_7668
4th rowDT_1267_7669
5th rowDT_1595_8357
ValueCountFrequency (%)
dt_12617_29594 1
 
< 0.1%
mh_1200_7191 1
 
< 0.1%
mh_1202_7142 1
 
< 0.1%
mh_1202_7141 1
 
< 0.1%
mh_1202_7140 1
 
< 0.1%
mh_12029_27569 1
 
< 0.1%
mh_12028_27564 1
 
< 0.1%
mh_12027_27563 1
 
< 0.1%
mh_12025_27562 1
 
< 0.1%
mh_12024_27561 1
 
< 0.1%
Other values (5485) 5485
99.8%
2024-04-21T10:17:51.747823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 10990
13.2%
0 9808
11.8%
1 8509
10.2%
9 8401
10.1%
2 7220
8.7%
3 6350
7.6%
8 4494
 
5.4%
5 4469
 
5.4%
4 4185
 
5.0%
7 4122
 
4.9%
Other values (6) 14780
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61348
73.6%
Connector Punctuation 10990
 
13.2%
Uppercase Letter 10990
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9808
16.0%
1 8509
13.9%
9 8401
13.7%
2 7220
11.8%
3 6350
10.4%
8 4494
7.3%
5 4469
7.3%
4 4185
6.8%
7 4122
6.7%
6 3790
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
D 2923
26.6%
T 2596
23.6%
M 2571
23.4%
H 2571
23.4%
S 329
 
3.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72338
86.8%
Latin 10990
 
13.2%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 10990
15.2%
0 9808
13.6%
1 8509
11.8%
9 8401
11.6%
2 7220
10.0%
3 6350
8.8%
8 4494
6.2%
5 4469
6.2%
4 4185
 
5.8%
7 4122
 
5.7%
Latin
ValueCountFrequency (%)
D 2923
26.6%
T 2596
23.6%
M 2571
23.4%
H 2571
23.4%
S 329
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 83328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 10990
13.2%
0 9808
11.8%
1 8509
10.2%
9 8401
10.1%
2 7220
8.7%
3 6350
7.6%
8 4494
 
5.4%
5 4469
 
5.4%
4 4185
 
5.0%
7 4122
 
4.9%
Other values (6) 14780
17.7%

제목
Text

Distinct5043
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2024-04-21T10:17:52.066857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length15.233849
Min length1

Characters and Unicode

Total characters83710
Distinct characters969
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4823 ?
Unique (%)87.8%

Sample

1st row엘살바도르 대통령 방한
2nd row대통령 연두기자회견
3rd row제주도에 도착한 고르바초프 소련 대통령
4th row한소 정상회담
5th row독일 콜 수상 내한
ValueCountFrequency (%)
대통령 1988
 
9.5%
문재인 988
 
4.7%
이 405
 
1.9%
노무현 340
 
1.6%
순방 158
 
0.8%
방문 145
 
0.7%
회의 143
 
0.7%
연설 138
 
0.7%
수석보좌관 127
 
0.6%
한국의 105
 
0.5%
Other values (8301) 16449
78.4%
2024-04-21T10:17:52.541350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15503
 
18.5%
대 2818
 
3.4%
통 2301
 
2.7%
령 2176
 
2.6%
의 1701
 
2.0%
문 1448
 
1.7%
인 1378
 
1.6%
회 1253
 
1.5%
국 1192
 
1.4%
재 1104
 
1.3%
Other values (959) 52836
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61119
73.0%
Space Separator 15503
 
18.5%
Decimal Number 2492
 
3.0%
Other Punctuation 2243
 
2.7%
Uppercase Letter 995
 
1.2%
Close Punctuation 274
 
0.3%
Open Punctuation 274
 
0.3%
Dash Punctuation 225
 
0.3%
Initial Punctuation 170
 
0.2%
Final Punctuation 162
 
0.2%
Other values (5) 253
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2818
 
4.6%
통 2301
 
3.8%
령 2176
 
3.6%
의 1701
 
2.8%
문 1448
 
2.4%
인 1378
 
2.3%
회 1253
 
2.1%
국 1192
 
2.0%
재 1104
 
1.8%
한 949
 
1.6%
Other values (873) 44799
73.3%
Uppercase Letter
ValueCountFrequency (%)
A 136
13.7%
E 101
 
10.2%
G 84
 
8.4%
T 80
 
8.0%
C 69
 
6.9%
F 61
 
6.1%
O 52
 
5.2%
I 47
 
4.7%
P 47
 
4.7%
S 44
 
4.4%
Other values (15) 274
27.5%
Lowercase Letter
ValueCountFrequency (%)
r 17
16.3%
e 17
16.3%
a 13
12.5%
n 9
8.7%
o 8
7.7%
d 7
6.7%
b 6
 
5.8%
u 4
 
3.8%
t 4
 
3.8%
i 4
 
3.8%
Other values (6) 15
14.4%
Other Punctuation
ValueCountFrequency (%)
, 908
40.5%
" 447
19.9%
· 416
18.5%
. 197
 
8.8%
' 156
 
7.0%
! 62
 
2.8%
: 15
 
0.7%
… 13
 
0.6%
/ 8
 
0.4%
? 8
 
0.4%
Other values (3) 13
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 470
18.9%
2 411
16.5%
0 337
13.5%
3 220
8.8%
5 212
8.5%
4 193
7.7%
6 191
7.7%
9 178
 
7.1%
7 144
 
5.8%
8 136
 
5.5%
Math Symbol
ValueCountFrequency (%)
+ 12
25.0%
~ 10
20.8%
< 8
16.7%
> 8
16.7%
→ 5
10.4%
↑ 3
 
6.2%
∼ 2
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 263
96.0%
] 9
 
3.3%
」 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 263
96.0%
[ 9
 
3.3%
「 2
 
0.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 118
69.4%
“ 52
30.6%
Final Punctuation
ValueCountFrequency (%)
’ 112
69.1%
” 50
30.9%
Space Separator
ValueCountFrequency (%)
15503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 99
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61083
73.0%
Common 21490
 
25.7%
Latin 1100
 
1.3%
Han 37
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2818
 
4.6%
통 2301
 
3.8%
령 2176
 
3.6%
의 1701
 
2.8%
문 1448
 
2.4%
인 1378
 
2.3%
회 1253
 
2.1%
국 1192
 
2.0%
재 1104
 
1.8%
한 949
 
1.6%
Other values (853) 44763
73.3%
Common
ValueCountFrequency (%)
15503
72.1%
, 908
 
4.2%
1 470
 
2.2%
" 447
 
2.1%
· 416
 
1.9%
2 411
 
1.9%
0 337
 
1.6%
) 263
 
1.2%
( 263
 
1.2%
- 225
 
1.0%
Other values (33) 2247
 
10.5%
Latin
ValueCountFrequency (%)
A 136
 
12.4%
E 101
 
9.2%
G 84
 
7.6%
T 80
 
7.3%
C 69
 
6.3%
F 61
 
5.5%
O 52
 
4.7%
I 47
 
4.3%
P 47
 
4.3%
S 44
 
4.0%
Other values (32) 379
34.5%
Han
ValueCountFrequency (%)
美 9
24.3%
故 4
 
10.8%
前 3
 
8.1%
新 2
 
5.4%
中 2
 
5.4%
亞 2
 
5.4%
與 1
 
2.7%
界 1
 
2.7%
世 1
 
2.7%
時 1
 
2.7%
Other values (11) 11
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61081
73.0%
ASCII 21812
 
26.1%
None 423
 
0.5%
Punctuation 345
 
0.4%
CJK 37
 
< 0.1%
Arrows 8
 
< 0.1%
Math Operators 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15503
71.1%
, 908
 
4.2%
1 470
 
2.2%
" 447
 
2.0%
2 411
 
1.9%
0 337
 
1.5%
) 263
 
1.2%
( 263
 
1.2%
- 225
 
1.0%
3 220
 
1.0%
Other values (62) 2765
 
12.7%
Hangul
ValueCountFrequency (%)
대 2818
 
4.6%
통 2301
 
3.8%
령 2176
 
3.6%
의 1701
 
2.8%
문 1448
 
2.4%
인 1378
 
2.3%
회 1253
 
2.1%
국 1192
 
2.0%
재 1104
 
1.8%
한 949
 
1.6%
Other values (851) 44761
73.3%
None
ValueCountFrequency (%)
· 416
98.3%
「 2
 
0.5%
」 2
 
0.5%
， 2
 
0.5%
㈜ 1
 
0.2%
Punctuation
ValueCountFrequency (%)
‘ 118
34.2%
’ 112
32.5%
“ 52
15.1%
” 50
14.5%
… 13
 
3.8%
CJK
ValueCountFrequency (%)
美 9
24.3%
故 4
 
10.8%
前 3
 
8.1%
新 2
 
5.4%
中 2
 
5.4%
亞 2
 
5.4%
與 1
 
2.7%
界 1
 
2.7%
世 1
 
2.7%
時 1
 
2.7%
Other values (11) 11
29.7%
Arrows
ValueCountFrequency (%)
→ 5
62.5%
↑ 3
37.5%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

메뉴코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
DT
2596 
MH
2571 
SS
328 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
DT 2596
47.2%
MH 2571
46.8%
SS 328
 
6.0%

Length

2024-04-21T10:17:52.664619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:52.749305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt 2596
47.2%
mh 2571
46.8%
ss 328
 
6.0%

대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
영상관
5495 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영상관 5495
100.0%

Length

2024-04-21T10:17:52.831744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:52.904539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영상관 5495
100.0%

중분류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
대통령기록영상
2596 
문화영화
2571 
기록음성
328 

Length

Max length7
Median length4
Mean length5.4172884
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대통령기록영상 2596
47.2%
문화영화 2571
46.8%
기록음성 328
 
6.0%

Length

2024-04-21T10:17:53.000716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:53.092720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대통령기록영상 2596
47.2%
문화영화 2571
46.8%
기록음성 328
 
6.0%

제작일
Text

Distinct1762
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2024-04-21T10:17:53.290335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters54950
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1285 ?
Unique (%)23.4%

Sample

1st row1970-00-00
2nd row1970-00-00
3rd row1991-00-00
4th row1991-00-00
5th row1993-00-00
ValueCountFrequency (%)
2022-04-22 249
 
4.5%
1986-00-00 106
 
1.9%
1962-00-00 106
 
1.9%
1989-00-00 106
 
1.9%
1985-00-00 100
 
1.8%
1984-00-00 99
 
1.8%
1993-00-00 90
 
1.6%
1978-00-00 90
 
1.6%
1990-00-00 87
 
1.6%
1987-00-00 82
 
1.5%
Other values (1752) 4380
79.7%
2024-04-21T10:17:53.597006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18092
32.9%
- 10990
20.0%
1 7358
13.4%
2 5626
 
10.2%
9 4901
 
8.9%
8 2055
 
3.7%
7 1623
 
3.0%
6 1475
 
2.7%
4 999
 
1.8%
5 963
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43960
80.0%
Dash Punctuation 10990
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18092
41.2%
1 7358
16.7%
2 5626
 
12.8%
9 4901
 
11.1%
8 2055
 
4.7%
7 1623
 
3.7%
6 1475
 
3.4%
4 999
 
2.3%
5 963
 
2.2%
3 868
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 10990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18092
32.9%
- 10990
20.0%
1 7358
13.4%
2 5626
 
10.2%
9 4901
 
8.9%
8 2055
 
3.7%
7 1623
 
3.0%
6 1475
 
2.7%
4 999
 
1.8%
5 963
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18092
32.9%
- 10990
20.0%
1 7358
13.4%
2 5626
 
10.2%
9 4901
 
8.9%
8 2055
 
3.7%
7 1623
 
3.0%
6 1475
 
2.7%
4 999
 
1.8%
5 963
 
1.8%

출처
Text

Distinct2450
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2024-04-21T10:17:53.859289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length11.317561
Min length1

Characters and Unicode

Total characters62190
Distinct characters799
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1975 ?
Unique (%)35.9%

Sample

1st row엘살바도르 대통령 방한
2nd row박정희 대통령 연두기자 회견
3rd row한.소 정상회담 (제주도 회담)
4th row한.소 정상회담 (제주도 회담)
5th row독일 `콜`총리 방한 기록
ValueCountFrequency (%)
ktv 1060
 
7.2%
대한뉴스 508
 
3.5%
대통령 496
 
3.4%
대한민국 355
 
2.4%
노무현 339
 
2.3%
길 265
 
1.8%
도약의 253
 
1.7%
대전환과 248
 
1.7%
정책 159
 
1.1%
한국의 137
 
0.9%
Other values (3887) 10894
74.0%
2024-04-21T10:17:54.275985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9223
 
14.8%
대 2462
 
4.0%
한 1479
 
2.4%
국 1341
 
2.2%
의 1148
 
1.8%
K 1121
 
1.8%
T 1100
 
1.8%
V 1073
 
1.7%
통 1020
 
1.6%
( 905
 
1.5%
Other values (789) 41318
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41734
67.1%
Space Separator 9223
 
14.8%
Uppercase Letter 3947
 
6.3%
Decimal Number 3680
 
5.9%
Other Punctuation 977
 
1.6%
Open Punctuation 906
 
1.5%
Close Punctuation 905
 
1.5%
Lowercase Letter 252
 
0.4%
Dash Punctuation 186
 
0.3%
Modifier Symbol 174
 
0.3%
Other values (5) 206
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2462
 
5.9%
한 1479
 
3.5%
국 1341
 
3.2%
의 1148
 
2.8%
통 1020
 
2.4%
령 815
 
2.0%
스 694
 
1.7%
기 666
 
1.6%
제 638
 
1.5%
민 626
 
1.5%
Other values (711) 30845
73.9%
Uppercase Letter
ValueCountFrequency (%)
K 1121
28.4%
T 1100
27.9%
V 1073
27.2%
A 110
 
2.8%
E 90
 
2.3%
N 50
 
1.3%
R 47
 
1.2%
C 46
 
1.2%
S 46
 
1.2%
O 44
 
1.1%
Other values (14) 220
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 37
14.7%
n 27
10.7%
s 27
10.7%
e 26
10.3%
a 26
10.3%
y 24
9.5%
c 17
6.7%
r 16
6.3%
d 13
 
5.2%
f 8
 
3.2%
Other values (6) 31
12.3%
Decimal Number
ValueCountFrequency (%)
1 880
23.9%
0 548
14.9%
2 459
12.5%
8 380
10.3%
6 349
 
9.5%
3 307
 
8.3%
9 273
 
7.4%
5 183
 
5.0%
4 158
 
4.3%
7 143
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 629
64.4%
. 206
 
21.1%
· 58
 
5.9%
/ 26
 
2.7%
& 18
 
1.8%
! 15
 
1.5%
" 14
 
1.4%
# 6
 
0.6%
: 3
 
0.3%
， 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 83
91.2%
+ 6
 
6.6%
> 1
 
1.1%
< 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 905
99.9%
「 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 904
99.9%
」 1
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
“ 44
66.7%
‘ 22
33.3%
Final Punctuation
ValueCountFrequency (%)
” 36
80.0%
’ 9
 
20.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
9223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 174
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41718
67.1%
Common 16255
 
26.1%
Latin 4201
 
6.8%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2462
 
5.9%
한 1479
 
3.5%
국 1341
 
3.2%
의 1148
 
2.8%
통 1020
 
2.4%
령 815
 
2.0%
스 694
 
1.7%
기 666
 
1.6%
제 638
 
1.5%
민 626
 
1.5%
Other values (698) 30829
73.9%
Latin
ValueCountFrequency (%)
K 1121
26.7%
T 1100
26.2%
V 1073
25.5%
A 110
 
2.6%
E 90
 
2.1%
N 50
 
1.2%
R 47
 
1.1%
C 46
 
1.1%
S 46
 
1.1%
O 44
 
1.0%
Other values (32) 474
11.3%
Common
ValueCountFrequency (%)
9223
56.7%
( 905
 
5.6%
) 904
 
5.6%
1 880
 
5.4%
, 629
 
3.9%
0 548
 
3.4%
2 459
 
2.8%
8 380
 
2.3%
6 349
 
2.1%
3 307
 
1.9%
Other values (26) 1671
 
10.3%
Han
ValueCountFrequency (%)
美 3
18.8%
故 2
12.5%
與 1
 
6.2%
明 1
 
6.2%
公 1
 
6.2%
時 1
 
6.2%
中 1
 
6.2%
前 1
 
6.2%
日 1
 
6.2%
世 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41717
67.1%
ASCII 20281
32.6%
Punctuation 111
 
0.2%
None 62
 
0.1%
CJK 16
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9223
45.5%
K 1121
 
5.5%
T 1100
 
5.4%
V 1073
 
5.3%
( 905
 
4.5%
) 904
 
4.5%
1 880
 
4.3%
, 629
 
3.1%
0 548
 
2.7%
2 459
 
2.3%
Other values (58) 3439
 
17.0%
Hangul
ValueCountFrequency (%)
대 2462
 
5.9%
한 1479
 
3.5%
국 1341
 
3.2%
의 1148
 
2.8%
통 1020
 
2.4%
령 815
 
2.0%
스 694
 
1.7%
기 666
 
1.6%
제 638
 
1.5%
민 626
 
1.5%
Other values (697) 30828
73.9%
None
ValueCountFrequency (%)
· 58
93.5%
， 2
 
3.2%
」 1
 
1.6%
「 1
 
1.6%
Punctuation
ValueCountFrequency (%)
“ 44
39.6%
” 36
32.4%
‘ 22
19.8%
’ 9
 
8.1%
CJK
ValueCountFrequency (%)
美 3
18.8%
故 2
12.5%
與 1
 
6.2%
明 1
 
6.2%
公 1
 
6.2%
時 1
 
6.2%
中 1
 
6.2%
前 1
 
6.2%
日 1
 
6.2%
世 1
 
6.2%
Other values (3) 3
18.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

재생시간(초)
Real number (ℝ)

Distinct1860
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean739.27079
Minimum0
Maximum13523
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size48.4 KiB
2024-04-21T10:17:54.395340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.7
Q1151
median474
Q31022
95-th percentile2302.2
Maximum13523
Range13523
Interquartile range (IQR)871

Descriptive statistics

Standard deviation870.13866
Coefficient of variation (CV)1.1770229
Kurtosis23.653684
Mean739.27079
Median Absolute Deviation (MAD)345
Skewness3.4148651
Sum4062293
Variance757141.29
MonotonicityNot monotonic
2024-04-21T10:17:54.509333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124 28
 
0.5%
131 27
 
0.5%
126 26
 
0.5%
125 25
 
0.5%
143 24
 
0.4%
139 24
 
0.4%
154 23
 
0.4%
119 21
 
0.4%
129 21
 
0.4%
145 21
 
0.4%
Other values (1850) 5255
95.6%
ValueCountFrequency (%)
0 2
< 0.1%
2 1
< 0.1%
3 2
< 0.1%
5 2
< 0.1%
6 2
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
13523 1
< 0.1%
11438 1
< 0.1%
9843 1
< 0.1%
8332 1
< 0.1%
8280 1
< 0.1%
7450 1
< 0.1%
6851 1
< 0.1%
6736 1
< 0.1%
6612 1
< 0.1%
6600 1
< 0.1%

키워드
Text

MISSING 

Distinct3154
Distinct (%)67.4%
Missing815
Missing (%)14.8%
Memory size43.1 KiB
2024-04-21T10:17:54.656759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length345
Median length144
Mean length18.434188
Min length1

Characters and Unicode

Total characters86272
Distinct characters839
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2988 ?
Unique (%)63.8%

Sample

1st row정국,박정희,연두기자회견,대통령
2nd row제주도,고르바초프,정상회담,중문,신라호텔,노태우,소련,페레스트로이카
3rd row제주도,고르바초프,정상회담,중문,신라호텔,노태우,소련,해녀,식물원,라이사,성과
4th row독일,콜,수상,방한,내한,김영삼
5th row뉴질랜드,수상,방한,김영삼,청와대
ValueCountFrequency (%)
0 985
 
14.1%
노무현 325
 
4.6%
문재인대통령#청와대#대한민국대전환과도약의길#문재인정부50대핵심정책#영상라이브러리#2022년#4월 248
 
3.5%
대통령 85
 
1.2%
박정희 51
 
0.7%
외교 39
 
0.6%
정치 25
 
0.4%
사회 24
 
0.3%
경제 20
 
0.3%
통일 19
 
0.3%
Other values (4199) 5174
74.0%
2024-04-21T10:17:55.112997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 14012
 
16.2%
대 2325
 
2.7%
2315
 
2.7%
# 1736
 
2.0%
0 1564
 
1.8%
정 1271
 
1.5%
국 1166
 
1.4%
사 1103
 
1.3%
전 1040
 
1.2%
통 1011
 
1.2%
Other values (829) 58729
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63767
73.9%
Other Punctuation 15912
 
18.4%
Decimal Number 3723
 
4.3%
Space Separator 2315
 
2.7%
Uppercase Letter 458
 
0.5%
Open Punctuation 36
 
< 0.1%
Close Punctuation 36
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2325
 
3.6%
정 1271
 
2.0%
국 1166
 
1.8%
사 1103
 
1.7%
전 1040
 
1.6%
통 1011
 
1.6%
문 921
 
1.4%
도 867
 
1.4%
기 822
 
1.3%
회 820
 
1.3%
Other values (775) 52421
82.2%
Uppercase Letter
ValueCountFrequency (%)
A 61
13.3%
E 44
 
9.6%
C 35
 
7.6%
P 33
 
7.2%
I 29
 
6.3%
U 27
 
5.9%
N 27
 
5.9%
M 24
 
5.2%
F 23
 
5.0%
T 23
 
5.0%
Other values (14) 132
28.8%
Decimal Number
ValueCountFrequency (%)
0 1564
42.0%
2 850
22.8%
5 381
 
10.2%
4 298
 
8.0%
1 200
 
5.4%
6 113
 
3.0%
9 106
 
2.8%
8 87
 
2.3%
3 73
 
2.0%
7 51
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
k 2
15.4%
o 2
15.4%
r 2
15.4%
a 2
15.4%
s 1
 
7.7%
w 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 14012
88.1%
# 1736
 
10.9%
. 121
 
0.8%
/ 39
 
0.2%
' 2
 
< 0.1%
· 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
~ 1
 
16.7%
＋ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63767
73.9%
Common 22034
 
25.5%
Latin 471
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2325
 
3.6%
정 1271
 
2.0%
국 1166
 
1.8%
사 1103
 
1.7%
전 1040
 
1.6%
통 1011
 
1.6%
문 921
 
1.4%
도 867
 
1.4%
기 822
 
1.3%
회 820
 
1.3%
Other values (775) 52421
82.2%
Latin
ValueCountFrequency (%)
A 61
13.0%
E 44
 
9.3%
C 35
 
7.4%
P 33
 
7.0%
I 29
 
6.2%
U 27
 
5.7%
N 27
 
5.7%
M 24
 
5.1%
F 23
 
4.9%
T 23
 
4.9%
Other values (21) 145
30.8%
Common
ValueCountFrequency (%)
, 14012
63.6%
2315
 
10.5%
# 1736
 
7.9%
0 1564
 
7.1%
2 850
 
3.9%
5 381
 
1.7%
4 298
 
1.4%
1 200
 
0.9%
. 121
 
0.5%
6 113
 
0.5%
Other values (13) 444
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63767
73.9%
ASCII 22502
 
26.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 14012
62.3%
2315
 
10.3%
# 1736
 
7.7%
0 1564
 
7.0%
2 850
 
3.8%
5 381
 
1.7%
4 298
 
1.3%
1 200
 
0.9%
. 121
 
0.5%
6 113
 
0.5%
Other values (42) 912
 
4.1%
Hangul
ValueCountFrequency (%)
대 2325
 
3.6%
정 1271
 
2.0%
국 1166
 
1.8%
사 1103
 
1.7%
전 1040
 
1.6%
통 1011
 
1.6%
문 921
 
1.4%
도 867
 
1.4%
기 822
 
1.3%
회 820
 
1.3%
Other values (775) 52421
82.2%
None
ValueCountFrequency (%)
· 2
66.7%
＋ 1
33.3%

링크주소
Text

UNIQUE 

Distinct5495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2024-04-21T10:17:55.368583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length97
Mean length94.164331
Min length91

Characters and Unicode

Total characters517433
Distinct characters44
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

Unique5495 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=12617&mediadtl=29594&mediagbn=DT
2nd rowhttps://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=12618&mediadtl=29595&mediagbn=DT
3rd rowhttps://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1267&mediadtl=7668&mediagbn=DT
4th rowhttps://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1267&mediadtl=7669&mediagbn=DT
5th rowhttps://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1595&mediadtl=8357&mediagbn=DT
ValueCountFrequency (%)
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12617&mediadtl=29594&mediagbn=dt 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=1200&mediadtl=7191&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=1202&mediadtl=7142&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=1202&mediadtl=7141&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=1202&mediadtl=7140&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12029&mediadtl=27569&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12028&mediadtl=27564&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12027&mediadtl=27563&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12025&mediadtl=27562&mediagbn=mh 1
 
< 0.1%
https://www.ehistory.go.kr/view/movie?mediasrcgbn=kv&mediaid=12024&mediadtl=27561&mediagbn=mh 1
 
< 0.1%
Other values (5485) 5485
99.8%
2024-04-21T10:17:55.761508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 43960
 
8.5%
e 38137
 
7.4%
d 33298
 
6.4%
m 27147
 
5.2%
a 22308
 
4.3%
= 21980
 
4.2%
/ 21980
 
4.2%
w 21980
 
4.2%
t 21980
 
4.2%
. 16485
 
3.2%
Other values (34) 248178
48.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 346185
66.9%
Other Punctuation 65940
 
12.7%
Decimal Number 61348
 
11.9%
Math Symbol 21980
 
4.2%
Uppercase Letter 21980
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 43960
12.7%
e 38137
11.0%
d 33298
 
9.6%
m 27147
 
7.8%
a 22308
 
6.4%
w 21980
 
6.3%
t 21980
 
6.3%
s 16485
 
4.8%
o 16485
 
4.8%
r 16485
 
4.8%
Other values (11) 87920
25.4%
Decimal Number
ValueCountFrequency (%)
0 9808
16.0%
1 8509
13.9%
9 8401
13.7%
2 7220
11.8%
3 6350
10.4%
8 4494
7.3%
5 4469
7.3%
4 4185
6.8%
7 4122
6.7%
6 3790
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
V 5495
25.0%
K 5495
25.0%
D 2923
13.3%
T 2596
11.8%
M 2571
11.7%
H 2571
11.7%
S 329
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 21980
33.3%
. 16485
25.0%
& 16485
25.0%
? 5495
 
8.3%
: 5495
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 21980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 368165
71.2%
Common 149268
28.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 43960
 
11.9%
e 38137
 
10.4%
d 33298
 
9.0%
m 27147
 
7.4%
a 22308
 
6.1%
w 21980
 
6.0%
t 21980
 
6.0%
s 16485
 
4.5%
o 16485
 
4.5%
r 16485
 
4.5%
Other values (18) 109900
29.9%
Common
ValueCountFrequency (%)
= 21980
14.7%
/ 21980
14.7%
. 16485
11.0%
& 16485
11.0%
0 9808
 
6.6%
1 8509
 
5.7%
9 8401
 
5.6%
2 7220
 
4.8%
3 6350
 
4.3%
? 5495
 
3.7%
Other values (6) 26555
17.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 43960
 
8.5%
e 38137
 
7.4%
d 33298
 
6.4%
m 27147
 
5.2%
a 22308
 
4.3%
= 21980
 
4.2%
/ 21980
 
4.2%
w 21980
 
4.2%
t 21980
 
4.2%
. 16485
 
3.2%
Other values (34) 248178
48.0%

섬네일주소
Text

MISSING 

Distinct5056
Distinct (%)97.9%
Missing328
Missing (%)6.0%
Memory size43.1 KiB
2024-04-21T10:17:55.988420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length85
Mean length73.109541
Min length26

Characters and Unicode

Total characters377757
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4976 ?
Unique (%)96.3%

Sample

1st rowhttps://www.ehistory.go.kr/movie_pds/ImageRoot/DT/DT_4001_1970_01/0000001000.jpg
2nd rowhttps://www.ehistory.go.kr/movie_pds/ImageRoot/DT/DT_4002_1970_01/0000001000.jpg
3rd rowhttps://www.ehistory.go.kr
4th rowhttps://www.ehistory.go.kr
5th rowhttps://www.ehistory.go.kr
ValueCountFrequency (%)
https://www.ehistory.go.kr 31
 
0.6%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/73835_1.3_image_1.jpg 4
 
0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/56035_1.4_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/70147_1.3_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/66482_1.2_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/74451_1.3_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/71485_1.3_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/71354_1.3_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/71006_1.3_image_1.jpg 2
 
< 0.1%
https://www.ehistory.go.kr/movie_pds/imageroot/dt/70291_1.3_image_1.jpg 2
 
< 0.1%
Other values (5046) 5116
99.0%
2024-04-21T10:17:56.318777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 38483
 
10.2%
0 28698
 
7.6%
o 25907
 
6.9%
. 21716
 
5.7%
t 20791
 
5.5%
g 16689
 
4.4%
e 16687
 
4.4%
w 15646
 
4.1%
s 15641
 
4.1%
p 15590
 
4.1%
Other values (59) 161909
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 205452
54.4%
Decimal Number 71947
 
19.0%
Other Punctuation 65366
 
17.3%
Uppercase Letter 23235
 
6.2%
Connector Punctuation 11315
 
3.0%
Dash Punctuation 256
 
0.1%
Open Punctuation 93
 
< 0.1%
Close Punctuation 93
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 25907
12.6%
t 20791
10.1%
g 16689
 
8.1%
e 16687
 
8.1%
w 15646
 
7.6%
s 15641
 
7.6%
p 15590
 
7.6%
i 11572
 
5.6%
m 11510
 
5.6%
h 10505
 
5.1%
Other values (16) 44914
21.9%
Uppercase Letter
ValueCountFrequency (%)
R 5315
22.9%
I 5295
22.8%
T 2539
10.9%
D 2529
10.9%
H 2127
9.2%
M 2117
 
9.1%
P 193
 
0.8%
A 183
 
0.8%
S 181
 
0.8%
U 181
 
0.8%
Other values (16) 2575
11.1%
Decimal Number
ValueCountFrequency (%)
0 28698
39.9%
1 13113
18.2%
2 5939
 
8.3%
3 4734
 
6.6%
9 4654
 
6.5%
4 3370
 
4.7%
6 3133
 
4.4%
5 2876
 
4.0%
7 2873
 
4.0%
8 2557
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 38483
58.9%
. 21716
33.2%
: 5167
 
7.9%
Connector Punctuation
ValueCountFrequency (%)
_ 11315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 228687
60.5%
Common 149070
39.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 25907
 
11.3%
t 20791
 
9.1%
g 16689
 
7.3%
e 16687
 
7.3%
w 15646
 
6.8%
s 15641
 
6.8%
p 15590
 
6.8%
i 11572
 
5.1%
m 11510
 
5.0%
h 10505
 
4.6%
Other values (42) 68149
29.8%
Common
ValueCountFrequency (%)
/ 38483
25.8%
0 28698
19.3%
. 21716
14.6%
1 13113
 
8.8%
_ 11315
 
7.6%
2 5939
 
4.0%
: 5167
 
3.5%
3 4734
 
3.2%
9 4654
 
3.1%
4 3370
 
2.3%
Other values (7) 11881
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 377757
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 38483
 
10.2%
0 28698
 
7.6%
o 25907
 
6.9%
. 21716
 
5.7%
t 20791
 
5.5%
g 16689
 
4.4%
e 16687
 
4.4%
w 15646
 
4.1%
s 15641
 
4.1%
p 15590
 
4.1%
Other values (59) 161909
42.9%

등록일
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2006-10-26
2812 
2022-05-09
1224 
2014-11-14
526 
2006-10-31
328 
2009-11-26
325 
Other values (3)
 
280

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2006-10-26
2nd row2006-10-26
3rd row2006-10-26
4th row2006-10-26
5th row2006-10-26

Common Values

ValueCountFrequency (%)
2006-10-26 2812
51.2%
2022-05-09 1224
22.3%
2014-11-14 526
 
9.6%
2006-10-31 328
 
6.0%
2009-11-26 325
 
5.9%
2017-08-23 194
 
3.5%
2009-11-27 77
 
1.4%
2022-06-08 9
 
0.2%

Length

2024-04-21T10:17:56.425454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:56.514125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2006-10-26 2812
51.2%
2022-05-09 1224
22.3%
2014-11-14 526
 
9.6%
2006-10-31 328
 
6.0%
2009-11-26 325
 
5.9%
2017-08-23 194
 
3.5%
2009-11-27 77
 
1.4%
2022-06-08 9
 
0.2%

Interactions

2024-04-21T10:17:50.754251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:17:56.595820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
메뉴코드중분류재생시간(초)등록일
메뉴코드1.0001.0000.1380.946
중분류1.0001.0000.1380.946
재생시간(초)0.1380.1381.0000.322
등록일0.9460.9460.3221.000
2024-04-21T10:17:56.686672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중분류등록일메뉴코드
중분류1.0000.9561.000
등록일0.9561.0000.956
메뉴코드1.0000.9561.000
2024-04-21T10:17:56.767017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재생시간(초)메뉴코드중분류등록일
재생시간(초)1.0000.0830.0830.160
메뉴코드0.0831.0001.0000.956
중분류0.0831.0001.0000.956
등록일0.1600.9560.9561.000

Missing values

2024-04-21T10:17:50.919981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:17:51.065173image/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.
2024-04-21T10:17:51.192711image/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

고유키제목메뉴코드대분류중분류제작일출처재생시간(초)키워드링크주소섬네일주소등록일
0DT_12617_29594엘살바도르 대통령 방한DT영상관대통령기록영상1970-00-00엘살바도르 대통령 방한1179<NA>https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=12617&mediadtl=29594&mediagbn=DThttps://www.ehistory.go.kr/movie_pds/ImageRoot/DT/DT_4001_1970_01/0000001000.jpg2006-10-26
1DT_12618_29595대통령 연두기자회견DT영상관대통령기록영상1970-00-00박정희 대통령 연두기자 회견589정국,박정희,연두기자회견,대통령https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=12618&mediadtl=29595&mediagbn=DThttps://www.ehistory.go.kr/movie_pds/ImageRoot/DT/DT_4002_1970_01/0000001000.jpg2006-10-26
2DT_1267_7668제주도에 도착한 고르바초프 소련 대통령DT영상관대통령기록영상1991-00-00한.소 정상회담 (제주도 회담)424제주도,고르바초프,정상회담,중문,신라호텔,노태우,소련,페레스트로이카https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1267&mediadtl=7668&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
3DT_1267_7669한소 정상회담DT영상관대통령기록영상1991-00-00한.소 정상회담 (제주도 회담)416제주도,고르바초프,정상회담,중문,신라호텔,노태우,소련,해녀,식물원,라이사,성과https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1267&mediadtl=7669&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
4DT_1595_8357독일 콜 수상 내한DT영상관대통령기록영상1993-00-00독일 `콜`총리 방한 기록911독일,콜,수상,방한,내한,김영삼https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1595&mediadtl=8357&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
5DT_1603_8359뉴질랜드 수상 방한DT영상관대통령기록영상1993-00-00뉴질랜드 수상 방한 기록995뉴질랜드,수상,방한,김영삼,청와대https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1603&mediadtl=8359&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
6DT_1604_8340인도 수상 방한DT영상관대통령기록영상1993-00-00인도 수상 방한 (“나라시마 라오”인도 수상 공식 방한)937나라시마, 인도, 방한, 김영삼https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1604&mediadtl=8340&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
7DT_1679_8455한국을 방문한 호주의 호크 수상DT영상관대통령기록영상1984-00-00호크 호주 수상 방한725호크,호주,수상,방한,포항제철,정상회담,오찬,기자회견https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1679&mediadtl=8455&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
8DT_1685_8445벨기에 수상 방한DT영상관대통령기록영상1984-00-00벨기에 수상 방한774벨기에 수상,마르텐스,마르텐스 수상,진의종,전두환https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1685&mediadtl=8445&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
9DT_1690_8446카타르국 칼리파 국왕 방한DT영상관대통령기록영상1984-00-00카타르국 칼리파 국왕 방한723카타르,칼리파 국왕,칼리파,전두환https://www.ehistory.go.kr/view/movie?mediasrcgbn=KV&mediaid=1690&mediadtl=8446&mediagbn=DThttps://www.ehistory.go.kr2006-10-26
고유키제목메뉴코드대분류중분류제작일출처재생시간(초)키워드링크주소섬네일주소등록일
5485SD_1000453_1000333대통령과 제주도 어린이의 대화SS영상관기록음성1991-05-05어린이날행사209어린이날,제주도,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000333&mediagbn=SD<NA>2006-10-31
5486SD_1000453_1000334대통령과 대구 어린이들의 대화SS영상관기록음성1991-05-05어린이날행사166어린이날,대구,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000334&mediagbn=SD<NA>2006-10-31
5487SD_1000453_1000338대통령과 초청 어린이들의 대화SS영상관기록음성1991-05-05어린이날행사657어린이날,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000338&mediagbn=SD<NA>2006-10-31
5488SD_1000453_1000340대통령과 광주 어린들의 대화SS영상관기록음성1991-05-05어린이날행사171어린이날,광주,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000340&mediagbn=SD<NA>2006-10-31
5489SD_1000453_1000342대통령과 춘천 어린이들의 대화SS영상관기록음성1991-05-05어린이날행사135어린이날,춘천,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000342&mediagbn=SD<NA>2006-10-31
5490SD_1000453_1000343윤석중 회장의 당부말SS영상관기록음성1991-05-05어린이날행사179어린이날, 윤석중https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000343&mediagbn=SD<NA>2006-10-31
5491SD_1000453_1000345대통령 격려사SS영상관기록음성1991-05-05어린이날행사626어린이날,격려사,대통령,노태우https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000453&mediadtl=1000345&mediagbn=SD<NA>2006-10-31
5492SD_1000465_1000383대통령 광복절 경축사SS영상관기록음성1991-08-15제46회광복절행사(독립기념관)227광복절https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000465&mediadtl=1000383&mediagbn=SD<NA>2006-10-31
5493SD_1000465_1000384광복절 경축사 행사 진행SS영상관기록음성1991-08-15제46회광복절행사(독립기념관)154광복절https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000465&mediadtl=1000384&mediagbn=SD<NA>2006-10-31
5494SS_1000052_10000566.4공동 성명 발표과정설명SS영상관기록음성1972-07-04남북 공동 성명 발표 이후락 정보부장 - 6.4공동 성명 발표과정 외557.4공동성명,북한,이후락https://www.ehistory.go.kr/view/audio?mediasrcgbn=KV&mediaid=1000052&mediadtl=1000056&mediagbn=SS<NA>2006-10-31