Overview

Dataset statistics

Number of variables7
Number of observations298
Missing cells188
Missing cells (%)9.0%
Duplicate rows3
Duplicate rows (%)1.0%
Total size in memory16.7 KiB
Average record size in memory57.4 B

Variable types

Categorical3
Text3
Numeric1

Dataset

Description한국영상자료원이 발간한 도서, DVD, 블루레이 전체 목록 정보(정보언어, 종류, 구분, 제목, 제작사, 제작년도, 저자 또는 감독)를 제공합니다.
URLhttps://www.data.go.kr/data/15052737/fileData.do

Alerts

Dataset has 3 (1.0%) duplicate rowsDuplicates
제작사 is highly overall correlated with 정보언어 and 1 other fieldsHigh correlation
정보언어 is highly overall correlated with 제작사High correlation
종류 is highly overall correlated with 제작사High correlation
저자감독 has 188 (63.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:11:57.064220
Analysis finished2023-12-12 19:11:57.900140
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정보언어
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
한국어
155 
영어
143 

Length

Max length3
Median length3
Mean length2.5201342
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국어 155
52.0%
영어 143
48.0%

Length

2023-12-13T04:11:57.964916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:58.066999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국어 155
52.0%
영어 143
48.0%

종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
도서
155 
DVD/블루레이
143 

Length

Max length8
Median length2
Mean length4.8791946
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도서 155
52.0%
DVD/블루레이 143
48.0%

Length

2023-12-13T04:11:58.173585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:58.277576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서 155
52.0%
dvd/블루레이 143
48.0%

구분
Text

Distinct102
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T04:11:58.529477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length44
Mean length17.939597
Min length2

Characters and Unicode

Total characters5346
Distinct characters141
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)23.2%

Sample

1st rowIllumination Series
2nd rowFILMStory 총서
3rd row일제강점기 영화자료총서
4th row기타
5th row기타
ValueCountFrequency (%)
108
 
11.4%
컬렉션 60
 
6.3%
series 52
 
5.5%
collection 46
 
4.8%
블루레이 29
 
3.1%
blu-ray 28
 
2.9%
filmstory 25
 
2.6%
korean 24
 
2.5%
영화자료총서 22
 
2.3%
일제강점기 22
 
2.3%
Other values (177) 534
56.2%
2023-12-13T04:11:58.924879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
655
 
12.3%
e 369
 
6.9%
o 306
 
5.7%
i 274
 
5.1%
l 263
 
4.9%
a 250
 
4.7%
r 232
 
4.3%
n 186
 
3.5%
t 172
 
3.2%
s 165
 
3.1%
Other values (131) 2474
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2709
50.7%
Other Letter 1093
20.4%
Space Separator 655
 
12.3%
Uppercase Letter 619
 
11.6%
Decimal Number 87
 
1.6%
Open Punctuation 59
 
1.1%
Close Punctuation 59
 
1.1%
Dash Punctuation 37
 
0.7%
Other Punctuation 22
 
0.4%
Final Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 75
 
6.9%
션 65
 
5.9%
렉 60
 
5.5%
컬 60
 
5.5%
화 56
 
5.1%
서 51
 
4.7%
총 51
 
4.7%
자 49
 
4.5%
료 49
 
4.5%
이 40
 
3.7%
Other values (60) 537
49.1%
Lowercase Letter
ValueCountFrequency (%)
e 369
13.6%
o 306
11.3%
i 274
10.1%
l 263
9.7%
a 250
9.2%
r 232
8.6%
n 186
6.9%
t 172
6.3%
s 165
6.1%
c 91
 
3.4%
Other values (15) 401
14.8%
Uppercase Letter
ValueCountFrequency (%)
S 94
15.2%
C 76
12.3%
M 65
10.5%
F 60
9.7%
I 43
 
6.9%
B 34
 
5.5%
K 30
 
4.8%
L 29
 
4.7%
H 23
 
3.7%
R 23
 
3.7%
Other values (14) 142
22.9%
Decimal Number
ValueCountFrequency (%)
0 25
28.7%
1 19
21.8%
2 11
12.6%
3 10
 
11.5%
9 8
 
9.2%
4 6
 
6.9%
5 4
 
4.6%
7 3
 
3.4%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 12
54.5%
, 6
27.3%
: 2
 
9.1%
! 1
 
4.5%
/ 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
[ 55
93.2%
( 4
 
6.8%
Close Punctuation
ValueCountFrequency (%)
] 55
93.2%
) 4
 
6.8%
Space Separator
ValueCountFrequency (%)
655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3328
62.3%
Hangul 1093
 
20.4%
Common 925
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 75
 
6.9%
션 65
 
5.9%
렉 60
 
5.5%
컬 60
 
5.5%
화 56
 
5.1%
서 51
 
4.7%
총 51
 
4.7%
자 49
 
4.5%
료 49
 
4.5%
이 40
 
3.7%
Other values (60) 537
49.1%
Latin
ValueCountFrequency (%)
e 369
 
11.1%
o 306
 
9.2%
i 274
 
8.2%
l 263
 
7.9%
a 250
 
7.5%
r 232
 
7.0%
n 186
 
5.6%
t 172
 
5.2%
s 165
 
5.0%
S 94
 
2.8%
Other values (39) 1017
30.6%
Common
ValueCountFrequency (%)
655
70.8%
[ 55
 
5.9%
] 55
 
5.9%
- 37
 
4.0%
0 25
 
2.7%
1 19
 
2.1%
. 12
 
1.3%
2 11
 
1.2%
3 10
 
1.1%
9 8
 
0.9%
Other values (12) 38
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4248
79.5%
Hangul 1093
 
20.4%
Punctuation 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
655
15.4%
e 369
 
8.7%
o 306
 
7.2%
i 274
 
6.5%
l 263
 
6.2%
a 250
 
5.9%
r 232
 
5.5%
n 186
 
4.4%
t 172
 
4.0%
s 165
 
3.9%
Other values (60) 1376
32.4%
Hangul
ValueCountFrequency (%)
영 75
 
6.9%
션 65
 
5.9%
렉 60
 
5.5%
컬 60
 
5.5%
화 56
 
5.1%
서 51
 
4.7%
총 51
 
4.7%
자 49
 
4.5%
료 49
 
4.5%
이 40
 
3.7%
Other values (60) 537
49.1%
Punctuation
ValueCountFrequency (%)
’ 5
100.0%

제목
Text

Distinct288
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T04:11:59.338135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length59
Mean length26.92953
Min length6

Characters and Unicode

Total characters8025
Distinct characters366
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)94.3%

Sample

1st rowHan Hyung-mo: The Alchemist of Popular Genres
2nd row배우의 얼굴 24시―안성기부터 이나영까지
3rd row신문기사로 본 조선영화 1911~1917
4th row김기영 시나리오 선집 Ⅱ
5th row하길종 전집 1·2·3
ValueCountFrequency (%)
the 51
 
3.5%
of 45
 
3.1%
korean 41
 
2.8%
in 36
 
2.5%
films 34
 
2.3%
30
 
2.1%
본 29
 
2.0%
조선영화 23
 
1.6%
신문기사로 19
 
1.3%
cinema 19
 
1.3%
Other values (668) 1130
77.6%
2023-12-13T04:11:59.939380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1170
 
14.6%
e 463
 
5.8%
o 384
 
4.8%
n 332
 
4.1%
i 300
 
3.7%
a 290
 
3.6%
s 248
 
3.1%
r 240
 
3.0%
1 209
 
2.6%
9 191
 
2.4%
Other values (356) 4198
52.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3471
43.3%
Other Letter 1448
18.0%
Space Separator 1170
 
14.6%
Decimal Number 763
 
9.5%
Uppercase Letter 729
 
9.1%
Other Punctuation 130
 
1.6%
Open Punctuation 106
 
1.3%
Close Punctuation 106
 
1.3%
Dash Punctuation 62
 
0.8%
Math Symbol 30
 
0.4%
Other values (3) 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 87
 
6.0%
화 85
 
5.9%
한 44
 
3.0%
로 42
 
2.9%
의 40
 
2.8%
본 38
 
2.6%
기 38
 
2.6%
사 35
 
2.4%
국 33
 
2.3%
지 31
 
2.1%
Other values (273) 975
67.3%
Lowercase Letter
ValueCountFrequency (%)
e 463
13.3%
o 384
11.1%
n 332
9.6%
i 300
8.6%
a 290
 
8.4%
s 248
 
7.1%
r 240
 
6.9%
t 176
 
5.1%
l 176
 
5.1%
m 129
 
3.7%
Other values (16) 733
21.1%
Uppercase Letter
ValueCountFrequency (%)
F 90
12.3%
K 73
 
10.0%
S 62
 
8.5%
A 56
 
7.7%
C 52
 
7.1%
H 43
 
5.9%
M 42
 
5.8%
T 41
 
5.6%
P 31
 
4.3%
I 29
 
4.0%
Other values (14) 210
28.8%
Decimal Number
ValueCountFrequency (%)
1 209
27.4%
9 191
25.0%
0 68
 
8.9%
6 67
 
8.8%
5 43
 
5.6%
2 42
 
5.5%
8 41
 
5.4%
4 39
 
5.1%
7 33
 
4.3%
3 30
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 67
51.5%
: 33
25.4%
. 14
 
10.8%
! 5
 
3.8%
; 3
 
2.3%
· 3
 
2.3%
? 2
 
1.5%
/ 2
 
1.5%
& 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 18
60.0%
> 5
 
16.7%
< 5
 
16.7%
～ 1
 
3.3%
+ 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 61
98.4%
― 1
 
1.6%
Final Punctuation
ValueCountFrequency (%)
’ 7
87.5%
” 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4201
52.3%
Common 2376
29.6%
Hangul 1448
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 87
 
6.0%
화 85
 
5.9%
한 44
 
3.0%
로 42
 
2.9%
의 40
 
2.8%
본 38
 
2.6%
기 38
 
2.6%
사 35
 
2.4%
국 33
 
2.3%
지 31
 
2.1%
Other values (273) 975
67.3%
Latin
ValueCountFrequency (%)
e 463
 
11.0%
o 384
 
9.1%
n 332
 
7.9%
i 300
 
7.1%
a 290
 
6.9%
s 248
 
5.9%
r 240
 
5.7%
t 176
 
4.2%
l 176
 
4.2%
m 129
 
3.1%
Other values (41) 1463
34.8%
Common
ValueCountFrequency (%)
1170
49.2%
1 209
 
8.8%
9 191
 
8.0%
( 106
 
4.5%
) 106
 
4.5%
0 68
 
2.9%
, 67
 
2.8%
6 67
 
2.8%
- 61
 
2.6%
5 43
 
1.8%
Other values (22) 288
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6562
81.8%
Hangul 1448
 
18.0%
Punctuation 10
 
0.1%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1170
17.8%
e 463
 
7.1%
o 384
 
5.9%
n 332
 
5.1%
i 300
 
4.6%
a 290
 
4.4%
s 248
 
3.8%
r 240
 
3.7%
1 209
 
3.2%
9 191
 
2.9%
Other values (66) 2735
41.7%
Hangul
ValueCountFrequency (%)
영 87
 
6.0%
화 85
 
5.9%
한 44
 
3.0%
로 42
 
2.9%
의 40
 
2.8%
본 38
 
2.6%
기 38
 
2.6%
사 35
 
2.4%
국 33
 
2.3%
지 31
 
2.1%
Other values (273) 975
67.3%
Punctuation
ValueCountFrequency (%)
’ 7
70.0%
” 1
 
10.0%
― 1
 
10.0%
“ 1
 
10.0%
None
ValueCountFrequency (%)
· 3
75.0%
～ 1
 
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

제작사
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
107 
블루키노
44 
Korean Film Archive
35 
한국영상자료원
27 
기획 및 발간 한국영상자료원
22 
Other values (29)
63 

Length

Max length31
Median length4
Mean length9.3154362
Min length4

Unique

Unique17 ?
Unique (%)5.7%

Sample

1st rowKorean Film Archive, PIFF
2nd row기획 및 발간 한국영상자료원
3rd row기획 및 발간 한국영화사연구소
4th row펴낸곳: 한국영상자료원
5th row펴낸 곳 : 한국영상자료원

Common Values

ValueCountFrequency (%)
<NA> 107
35.9%
블루키노 44
14.8%
Korean Film Archive 35
 
11.7%
한국영상자료원 27
 
9.1%
기획 및 발간 한국영상자료원 22
 
7.4%
(주)태원엔터테인먼트 13
 
4.4%
블루키노/(주)덕슨미디어 10
 
3.4%
스펙트럼 DVD 4
 
1.3%
한국영상자료원 엮음, 보리별 3
 
1.0%
Korean Film Archive, PIFF 2
 
0.7%
Other values (24) 31
 
10.4%

Length

2023-12-13T04:12:00.186940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 107
19.8%
한국영상자료원 73
13.5%
블루키노 45
8.3%
korean 43
7.9%
film 43
7.9%
archive 43
7.9%
및 30
 
5.5%
발간 30
 
5.5%
기획 27
 
5.0%
주)태원엔터테인먼트 13
 
2.4%
Other values (32) 87
16.1%

제작년도
Real number (ℝ)

Distinct21
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.7852
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-13T04:12:00.324783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2005
Q12007
median2011
Q32016
95-th percentile2021
Maximum2023
Range20
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.087866
Coefficient of variation (CV)0.0025290304
Kurtosis-0.8812654
Mean2011.7852
Median Absolute Deviation (MAD)4
Skewness0.41113765
Sum599512
Variance25.886381
MonotonicityNot monotonic
2023-12-13T04:12:00.465081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2007 37
 
12.4%
2009 28
 
9.4%
2008 20
 
6.7%
2010 18
 
6.0%
2011 18
 
6.0%
2017 17
 
5.7%
2015 16
 
5.4%
2012 16
 
5.4%
2006 15
 
5.0%
2014 14
 
4.7%
Other values (11) 99
33.2%
ValueCountFrequency (%)
2003 2
 
0.7%
2004 10
 
3.4%
2005 13
 
4.4%
2006 15
5.0%
2007 37
12.4%
2008 20
6.7%
2009 28
9.4%
2010 18
6.0%
2011 18
6.0%
2012 16
5.4%
ValueCountFrequency (%)
2023 2
 
0.7%
2022 11
3.7%
2021 8
2.7%
2020 7
2.3%
2019 9
3.0%
2018 11
3.7%
2017 17
5.7%
2016 14
4.7%
2015 16
5.4%
2014 14
4.7%

저자감독
Text

MISSING 

Distinct68
Distinct (%)61.8%
Missing188
Missing (%)63.1%
Memory size2.5 KiB
2023-12-13T04:12:00.775611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length8
Min length3

Characters and Unicode

Total characters880
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)42.7%

Sample

1st row신상옥
2nd row박상호
3rd row이만희
4th row박상호
5th row이용민 등
ValueCountFrequency (%)
lee 16
 
9.1%
kim 9
 
5.1%
이만희 6
 
3.4%
man-hee 5
 
2.8%
ki-young 5
 
2.8%
shin 5
 
2.8%
등 4
 
2.3%
chung 4
 
2.3%
choi 4
 
2.3%
doo-yong 4
 
2.3%
Other values (81) 114
64.8%
2023-12-13T04:12:01.319066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 80
 
9.1%
66
 
7.5%
o 65
 
7.4%
e 58
 
6.6%
- 57
 
6.5%
g 49
 
5.6%
a 42
 
4.8%
i 31
 
3.5%
u 29
 
3.3%
h 29
 
3.3%
Other values (96) 374
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 462
52.5%
Other Letter 171
 
19.4%
Uppercase Letter 121
 
13.8%
Space Separator 66
 
7.5%
Dash Punctuation 57
 
6.5%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
9.4%
용 9
 
5.3%
김 8
 
4.7%
호 7
 
4.1%
희 7
 
4.1%
상 6
 
3.5%
만 6
 
3.5%
정 5
 
2.9%
영 5
 
2.9%
수 5
 
2.9%
Other values (56) 97
56.7%
Lowercase Letter
ValueCountFrequency (%)
n 80
17.3%
o 65
14.1%
e 58
12.6%
g 49
10.6%
a 42
9.1%
i 31
 
6.7%
u 29
 
6.3%
h 29
 
6.3%
y 26
 
5.6%
m 18
 
3.9%
Other values (10) 35
7.6%
Uppercase Letter
ValueCountFrequency (%)
K 20
16.5%
S 16
13.2%
L 16
13.2%
H 12
9.9%
C 11
9.1%
J 8
 
6.6%
M 7
 
5.8%
D 7
 
5.8%
I 6
 
5.0%
B 5
 
4.1%
Other values (6) 13
10.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
？ 1
33.3%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 583
66.2%
Hangul 171
 
19.4%
Common 126
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
9.4%
용 9
 
5.3%
김 8
 
4.7%
호 7
 
4.1%
희 7
 
4.1%
상 6
 
3.5%
만 6
 
3.5%
정 5
 
2.9%
영 5
 
2.9%
수 5
 
2.9%
Other values (56) 97
56.7%
Latin
ValueCountFrequency (%)
n 80
13.7%
o 65
11.1%
e 58
 
9.9%
g 49
 
8.4%
a 42
 
7.2%
i 31
 
5.3%
u 29
 
5.0%
h 29
 
5.0%
y 26
 
4.5%
K 20
 
3.4%
Other values (26) 154
26.4%
Common
ValueCountFrequency (%)
66
52.4%
- 57
45.2%
, 2
 
1.6%
？ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 708
80.5%
Hangul 171
 
19.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 80
 
11.3%
66
 
9.3%
o 65
 
9.2%
e 58
 
8.2%
- 57
 
8.1%
g 49
 
6.9%
a 42
 
5.9%
i 31
 
4.4%
u 29
 
4.1%
h 29
 
4.1%
Other values (29) 202
28.5%
Hangul
ValueCountFrequency (%)
이 16
 
9.4%
용 9
 
5.3%
김 8
 
4.7%
호 7
 
4.1%
희 7
 
4.1%
상 6
 
3.5%
만 6
 
3.5%
정 5
 
2.9%
영 5
 
2.9%
수 5
 
2.9%
Other values (56) 97
56.7%
None
ValueCountFrequency (%)
？ 1
100.0%

Interactions

2023-12-13T04:11:57.551139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:12:01.456872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정보언어종류제작사제작년도저자감독
정보언어1.0000.0001.0000.0001.000
종류0.0001.0000.9450.3611.000
제작사1.0000.9451.0000.7970.925
제작년도0.0000.3610.7971.0000.000
저자감독1.0001.0000.9250.0001.000
2023-12-13T04:12:01.619409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류제작사정보언어
종류1.0000.8120.000
제작사0.8121.0000.914
정보언어0.0000.9141.000
2023-12-13T04:12:01.740130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작년도정보언어종류제작사
제작년도1.0000.0000.2780.398
정보언어0.0001.0000.0000.914
종류0.2780.0001.0000.812
제작사0.3980.9140.8121.000

Missing values

2023-12-13T04:11:57.707080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:11:57.851673image/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

정보언어종류구분제목제작사제작년도저자감독
0한국어도서Illumination SeriesHan Hyung-mo: The Alchemist of Popular GenresKorean Film Archive, PIFF2008<NA>
1한국어도서FILMStory 총서배우의 얼굴 24시―안성기부터 이나영까지기획 및 발간 한국영상자료원2007<NA>
2한국어도서일제강점기 영화자료총서신문기사로 본 조선영화 1911~1917기획 및 발간 한국영화사연구소2008<NA>
3한국어도서기타김기영 시나리오 선집 Ⅱ펴낸곳: 한국영상자료원2008<NA>
4한국어도서기타하길종 전집 1·2·3펴낸 곳 : 한국영상자료원2009<NA>
5한국어도서한국영화 자료총서한국영화의 풍경 1945-1959한국영상자료원 지음 | 문학사상2003<NA>
6한국어도서한국영화 자료총서신문 기사로 본 한국영화 1945~1957한국영상자료원 편집 | 공간과 사람들2004<NA>
7한국어도서기타한국영화사 공부 1960~1979한국영상자료원 기획편집, 이효인 외 | 이채2004<NA>
8한국어도서한국영화사 구술총서한국영화를 말한다: 1950년대 한국영화한국영상자료원 엮음 | 이채2004<NA>
9한국어도서Korean Film History ReviewA History of Korean CinemaKOREAN FILM ARCHIVE2005<NA>
정보언어종류구분제목제작사제작년도저자감독
288한국어DVD/블루레이블루레이 컬렉션소름(2001)블루키노2022윤종찬
289영어DVD/블루레이Blu-ray CollectionSorum(2001)Korean Film Archive2022Yoon Jong-chan
290한국어DVD/블루레이블루레이 컬렉션피막(1980)블루키노2022이두용
291영어DVD/블루레이Blu-ray CollectionThe Hut(1980)Korean Film Archive / Blue Kino2022Lee Doo-yong
292한국어DVD/블루레이블루레이 컬렉션바보선언(1983)블루키노2022이장호
293한국어도서일제강점기 영화자료총서신문기사로 본 조선영화 1933한국영상자료원2022<NA>
294한국어도서한국영화박물관 도록지금 우리 좀비는: 21세기 K-좀비 연대기한국영상자료원2022<NA>
295영어DVD/블루레이Master CollectionLee Seong Gu Collection<NA>2014Lee Seong Gu
296한국어DVD/블루레이블루레이 컬렉션<살인마>(1965)블루키노2023이용민
297영어DVD/블루레이Blu-ray CollectionA Bloodthirsty Killer(1965)<NA>2023Lee Yong-min

Duplicate rows

Most frequently occurring

정보언어종류구분제목제작사제작년도저자감독# duplicates
0영어도서[ Iilumination Series Vol.1 ]Kim Seung-ho: Face of Father, Portrait of Korean Cinema<NA>2007<NA>2
1영어도서[ Illumination Series Vol.2 ]Han Hyung-mo: The Alchemist of Popular Genres<NA>2008<NA>2
2영어도서[ Illumination Series ]Kim Kee-duk, On the Front Line of Korean Genre Films<NA>2011<NA>2