Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory77.4 B

Variable types

Text3
DateTime3
Categorical3

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/9f75c9c6-c9e8-437e-9ce5-fffd890524dd

Alerts

수집일 has constant value ""Constant
경로명 is highly overall correlated with 수 and 1 other fieldsHigh correlation
글제목 is highly overall correlated with 경로명 and 1 other fieldsHigh correlation
수 is highly overall correlated with 경로명 and 1 other fieldsHigh correlation
ID has unique valuesUnique
설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:22:45.934188
Analysis finished2023-12-10 14:22:46.616522
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:22:46.791486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters780
Distinct characters64
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowUgwFYEwwpuh4n0kRpMp4AaABAg
2nd rowUgw85exbJP0LlyuWIaZ4AaABAg
3rd rowUgxP59p4t8EInuL3S4Z4AaABAg
4th rowUgwt50KKY4pOUGiAAop4AaABAg
5th rowUgxIMx3dXdd-Uo0euEt4AaABAg
ValueCountFrequency (%)
ugwfyewwpuh4n0krpmp4aaabag 1
 
3.3%
ugw85exbjp0llyuwiaz4aaabag 1
 
3.3%
ugztykvnmn6uaj0iqa14aaabag 1
 
3.3%
ugzrjkdr4peofsaukpb4aaabag 1
 
3.3%
ugwutfyuc8qfvir7fef4aaabag 1
 
3.3%
ugxsoq6ob66irnwnukp4aaabag 1
 
3.3%
ugxispkrmwd4h5mj3mr4aaabag 1
 
3.3%
ugxxlzp3lxb3d6h3tvv4aaabag 1
 
3.3%
ugw2bwb_0fstiar9gip4aaabag 1
 
3.3%
ugwf44hvhnvejdqfdbz4aaabag 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:22:47.151690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 97
 
12.4%
g 64
 
8.2%
4 43
 
5.5%
B 41
 
5.3%
a 37
 
4.7%
U 36
 
4.6%
x 21
 
2.7%
w 17
 
2.2%
p 14
 
1.8%
6 13
 
1.7%
Other values (54) 397
50.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 341
43.7%
Lowercase Letter 318
40.8%
Decimal Number 107
 
13.7%
Connector Punctuation 8
 
1.0%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 97
28.4%
B 41
12.0%
U 36
 
10.6%
E 12
 
3.5%
I 11
 
3.2%
S 10
 
2.9%
Z 10
 
2.9%
J 9
 
2.6%
R 9
 
2.6%
V 8
 
2.3%
Other values (16) 98
28.7%
Lowercase Letter
ValueCountFrequency (%)
g 64
20.1%
a 37
 
11.6%
x 21
 
6.6%
w 17
 
5.3%
p 14
 
4.4%
u 12
 
3.8%
e 12
 
3.8%
z 12
 
3.8%
l 12
 
3.8%
f 11
 
3.5%
Other values (16) 106
33.3%
Decimal Number
ValueCountFrequency (%)
4 43
40.2%
6 13
 
12.1%
0 9
 
8.4%
3 8
 
7.5%
5 7
 
6.5%
1 6
 
5.6%
8 6
 
5.6%
9 6
 
5.6%
2 5
 
4.7%
7 4
 
3.7%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 659
84.5%
Common 121
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 97
 
14.7%
g 64
 
9.7%
B 41
 
6.2%
a 37
 
5.6%
U 36
 
5.5%
x 21
 
3.2%
w 17
 
2.6%
p 14
 
2.1%
u 12
 
1.8%
e 12
 
1.8%
Other values (42) 308
46.7%
Common
ValueCountFrequency (%)
4 43
35.5%
6 13
 
10.7%
0 9
 
7.4%
_ 8
 
6.6%
3 8
 
6.6%
5 7
 
5.8%
1 6
 
5.0%
8 6
 
5.0%
9 6
 
5.0%
- 6
 
5.0%
Other values (2) 9
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 97
 
12.4%
g 64
 
8.2%
4 43
 
5.5%
B 41
 
5.3%
a 37
 
4.7%
U 36
 
4.6%
x 21
 
2.7%
w 17
 
2.2%
p 14
 
1.8%
6 13
 
1.7%
Other values (54) 397
50.9%

설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:22:47.464634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length352
Median length48
Mean length70.366667
Min length5

Characters and Unicode

Total characters2111
Distinct characters93
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row1등 yo
2nd row축하드려요 ㅎㅎ
3rd rowBobby?
4th rowbeautiful!
5th rowI can't believe this has such a low rating. I gave it 55 to balance it out. This is so moving; I actually welled up with tears at the end. A beautiful story beautifully told. Thank you. .x.Sess.x.
ValueCountFrequency (%)
i 28
 
6.9%
to 15
 
3.7%
10
 
2.5%
so 9
 
2.2%
this 8
 
2.0%
in 8
 
2.0%
and 7
 
1.7%
seoul 7
 
1.7%
a 6
 
1.5%
be 6
 
1.5%
Other values (214) 301
74.3%
2023-12-10T23:22:47.951719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
18.0%
e 157
 
7.4%
o 132
 
6.3%
a 128
 
6.1%
t 127
 
6.0%
i 111
 
5.3%
n 92
 
4.4%
s 84
 
4.0%
l 76
 
3.6%
h 65
 
3.1%
Other values (83) 759
36.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1438
68.1%
Space Separator 380
 
18.0%
Other Punctuation 133
 
6.3%
Uppercase Letter 79
 
3.7%
Other Letter 35
 
1.7%
Decimal Number 16
 
0.8%
Math Symbol 14
 
0.7%
Modifier Symbol 8
 
0.4%
Dash Punctuation 4
 
0.2%
Close Punctuation 2
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 2
 
5.7%
있 2
 
5.7%
꼭 2
 
5.7%
고 2
 
5.7%
하 2
 
5.7%
요 2
 
5.7%
ㅎ 2
 
5.7%
대 2
 
5.7%
트 1
 
2.9%
ㅁ 1
 
2.9%
Other values (17) 17
48.6%
Lowercase Letter
ValueCountFrequency (%)
e 157
 
10.9%
o 132
 
9.2%
a 128
 
8.9%
t 127
 
8.8%
i 111
 
7.7%
n 92
 
6.4%
s 84
 
5.8%
l 76
 
5.3%
h 65
 
4.5%
r 63
 
4.4%
Other values (16) 403
28.0%
Uppercase Letter
ValueCountFrequency (%)
I 23
29.1%
S 11
13.9%
T 6
 
7.6%
H 5
 
6.3%
E 4
 
5.1%
D 4
 
5.1%
A 4
 
5.1%
Y 4
 
5.1%
K 3
 
3.8%
N 3
 
3.8%
Other values (8) 12
15.2%
Other Punctuation
ValueCountFrequency (%)
! 59
44.4%
. 46
34.6%
' 13
 
9.8%
; 9
 
6.8%
: 2
 
1.5%
* 2
 
1.5%
? 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 4
25.0%
3 4
25.0%
1 3
18.8%
2 3
18.8%
5 2
12.5%
Math Symbol
ValueCountFrequency (%)
~ 10
71.4%
< 3
 
21.4%
= 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
] 1
50.0%
) 1
50.0%
Space Separator
ValueCountFrequency (%)
380
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1517
71.9%
Common 559
 
26.5%
Hangul 35
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 157
 
10.3%
o 132
 
8.7%
a 128
 
8.4%
t 127
 
8.4%
i 111
 
7.3%
n 92
 
6.1%
s 84
 
5.5%
l 76
 
5.0%
h 65
 
4.3%
r 63
 
4.2%
Other values (34) 482
31.8%
Hangul
ValueCountFrequency (%)
다 2
 
5.7%
있 2
 
5.7%
꼭 2
 
5.7%
고 2
 
5.7%
하 2
 
5.7%
요 2
 
5.7%
ㅎ 2
 
5.7%
대 2
 
5.7%
트 1
 
2.9%
ㅁ 1
 
2.9%
Other values (17) 17
48.6%
Common
ValueCountFrequency (%)
380
68.0%
! 59
 
10.6%
. 46
 
8.2%
' 13
 
2.3%
~ 10
 
1.8%
; 9
 
1.6%
^ 8
 
1.4%
- 4
 
0.7%
0 4
 
0.7%
3 4
 
0.7%
Other values (12) 22
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2076
98.3%
Hangul 32
 
1.5%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
18.3%
e 157
 
7.6%
o 132
 
6.4%
a 128
 
6.2%
t 127
 
6.1%
i 111
 
5.3%
n 92
 
4.4%
s 84
 
4.0%
l 76
 
3.7%
h 65
 
3.1%
Other values (56) 724
34.9%
Hangul
ValueCountFrequency (%)
다 2
 
6.2%
있 2
 
6.2%
꼭 2
 
6.2%
고 2
 
6.2%
하 2
 
6.2%
요 2
 
6.2%
대 2
 
6.2%
트 1
 
3.1%
저 1
 
3.1%
축 1
 
3.1%
Other values (15) 15
46.9%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
66.7%
ㅁ 1
33.3%

생성일
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-04-19 00:00:00
Maximum2009-12-31 00:00:00
2023-12-10T23:22:48.124130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:48.241706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

작성자
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:22:48.482729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14.5
Mean length10.9
Min length4

Characters and Unicode

Total characters327
Distinct characters55
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st rowesneltias
2nd row경기콘텐츠진흥원
3rd rowJaden Bennett
4th rowEmily Sophie
5th rowTheLastGeekbender
ValueCountFrequency (%)
meneer 2
 
4.4%
bert 2
 
4.4%
uyenous 1
 
2.2%
novo 1
 
2.2%
teckwolf27 1
 
2.2%
esneltias 1
 
2.2%
theairlineslover92 1
 
2.2%
sebastian 1
 
2.2%
gutierrez 1
 
2.2%
neowilson1 1
 
2.2%
Other values (33) 33
73.3%
2023-12-10T23:22:48.947967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 44
 
13.5%
n 25
 
7.6%
a 21
 
6.4%
o 20
 
6.1%
i 19
 
5.8%
r 18
 
5.5%
15
 
4.6%
t 13
 
4.0%
s 13
 
4.0%
m 11
 
3.4%
Other values (45) 128
39.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 257
78.6%
Uppercase Letter 37
 
11.3%
Space Separator 15
 
4.6%
Decimal Number 10
 
3.1%
Other Letter 8
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 44
17.1%
n 25
9.7%
a 21
 
8.2%
o 20
 
7.8%
i 19
 
7.4%
r 18
 
7.0%
t 13
 
5.1%
s 13
 
5.1%
m 11
 
4.3%
l 11
 
4.3%
Other values (14) 62
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
16.2%
M 4
10.8%
N 4
10.8%
S 3
8.1%
G 3
8.1%
H 2
 
5.4%
C 2
 
5.4%
K 2
 
5.4%
T 2
 
5.4%
J 2
 
5.4%
Other values (7) 7
18.9%
Other Letter
ValueCountFrequency (%)
경 1
12.5%
기 1
12.5%
콘 1
12.5%
텐 1
12.5%
츠 1
12.5%
진 1
12.5%
흥 1
12.5%
원 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
7 2
 
20.0%
1 1
 
10.0%
9 1
 
10.0%
0 1
 
10.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 294
89.9%
Common 25
 
7.6%
Hangul 8
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 44
15.0%
n 25
 
8.5%
a 21
 
7.1%
o 20
 
6.8%
i 19
 
6.5%
r 18
 
6.1%
t 13
 
4.4%
s 13
 
4.4%
m 11
 
3.7%
l 11
 
3.7%
Other values (31) 99
33.7%
Hangul
ValueCountFrequency (%)
경 1
12.5%
기 1
12.5%
콘 1
12.5%
텐 1
12.5%
츠 1
12.5%
진 1
12.5%
흥 1
12.5%
원 1
12.5%
Common
ValueCountFrequency (%)
15
60.0%
2 5
 
20.0%
7 2
 
8.0%
1 1
 
4.0%
9 1
 
4.0%
0 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
97.6%
Hangul 8
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 44
 
13.8%
n 25
 
7.8%
a 21
 
6.6%
o 20
 
6.3%
i 19
 
6.0%
r 18
 
5.6%
15
 
4.7%
t 13
 
4.1%
s 13
 
4.1%
m 11
 
3.4%
Other values (37) 120
37.6%
Hangul
ValueCountFrequency (%)
경 1
12.5%
기 1
12.5%
콘 1
12.5%
텐 1
12.5%
츠 1
12.5%
진 1
12.5%
흥 1
12.5%
원 1
12.5%

경로명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
https://www.youtube.com/watch?v=55zrZ-DJb2A
6 
https://www.youtube.com/watch?v=sbAAMeldBZY
4 
https://www.youtube.com/watch?v=QCAt62uorI0
4 
https://www.youtube.com/watch?v=nC9cCKSByQc
3 
https://www.youtube.com/watch?v=uHMXNHUzDK8
3 
Other values (8)
10 

Length

Max length43
Median length43
Mean length43
Min length43

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st rowhttps://www.youtube.com/watch?v=sbAAMeldBZY
2nd rowhttps://www.youtube.com/watch?v=sbAAMeldBZY
3rd rowhttps://www.youtube.com/watch?v=mdXHoTgHIXQ
4th rowhttps://www.youtube.com/watch?v=nC9cCKSByQc
5th rowhttps://www.youtube.com/watch?v=nC9cCKSByQc

Common Values

ValueCountFrequency (%)
https://www.youtube.com/watch?v=55zrZ-DJb2A 6
20.0%
https://www.youtube.com/watch?v=sbAAMeldBZY 4
13.3%
https://www.youtube.com/watch?v=QCAt62uorI0 4
13.3%
https://www.youtube.com/watch?v=nC9cCKSByQc 3
10.0%
https://www.youtube.com/watch?v=uHMXNHUzDK8 3
10.0%
https://www.youtube.com/watch?v=Oo_E1_sYR_s 2
 
6.7%
https://www.youtube.com/watch?v=4_SZSbdlS40 2
 
6.7%
https://www.youtube.com/watch?v=mdXHoTgHIXQ 1
 
3.3%
https://www.youtube.com/watch?v=t6zFONGgaKY 1
 
3.3%
https://www.youtube.com/watch?v=JebKULT_5QE 1
 
3.3%
Other values (3) 3
10.0%

Length

2023-12-10T23:22:49.129468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.youtube.com/watch?v=55zrz-djb2a 6
20.0%
https://www.youtube.com/watch?v=sbaameldbzy 4
13.3%
https://www.youtube.com/watch?v=qcat62uori0 4
13.3%
https://www.youtube.com/watch?v=nc9ccksbyqc 3
10.0%
https://www.youtube.com/watch?v=uhmxnhuzdk8 3
10.0%
https://www.youtube.com/watch?v=oo_e1_syr_s 2
 
6.7%
https://www.youtube.com/watch?v=4_szsbdls40 2
 
6.7%
https://www.youtube.com/watch?v=mdxhotghixq 1
 
3.3%
https://www.youtube.com/watch?v=t6zfonggaky 1
 
3.3%
https://www.youtube.com/watch?v=jebkult_5qe 1
 
3.3%
Other values (3) 3
10.0%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-03-01 00:00:00
Maximum2021-03-01 00:00:00
2023-12-10T23:22:49.231073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:49.331117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

Length

2023-12-10T23:22:49.480164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:49.602185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

수정시간
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-04-19 00:00:00
Maximum2009-12-31 00:00:00
2023-12-10T23:22:49.732518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:49.863994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

글제목
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2010-2012 VISIT KOREA YEAR WITH SEOUL
6 
고스트메신저(Ghost Messenger) 2차 파일럿
4 
DMZ다큐멘터리영화제(Korean International Documentary Festival)
4 
A nameless Ballerina
3 
FreeHug - With Seoul
3 
Other values (8)
10 

Length

Max length54
Median length37
Mean length29.5
Min length3

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row고스트메신저(Ghost Messenger) 2차 파일럿
2nd row고스트메신저(Ghost Messenger) 2차 파일럿
3rd rowpitter patter
4th rowA nameless Ballerina
5th rowA nameless Ballerina

Common Values

ValueCountFrequency (%)
2010-2012 VISIT KOREA YEAR WITH SEOUL 6
20.0%
고스트메신저(Ghost Messenger) 2차 파일럿 4
13.3%
DMZ다큐멘터리영화제(Korean International Documentary Festival) 4
13.3%
A nameless Ballerina 3
10.0%
FreeHug - With Seoul 3
10.0%
Hug 2
 
6.7%
2010-2012 VISIT KOREA YEAR WITH SEOUL - Openning 2
 
6.7%
pitter patter 1
 
3.3%
KSF2009_바투광고_살다보면[이플레이온] 1
 
3.3%
Loup Garou 1
 
3.3%
Other values (3) 3
10.0%

Length

2023-12-10T23:22:50.023913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
seoul 13
 
11.0%
with 11
 
9.3%
2010-2012 8
 
6.8%
korea 8
 
6.8%
year 8
 
6.8%
visit 8
 
6.8%
5
 
4.2%
고스트메신저(ghost 4
 
3.4%
messenger 4
 
3.4%
2차 4
 
3.4%
Other values (20) 45
38.1%

Correlations

2023-12-10T23:22:50.114058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ID설명생성일작성자경로명수수정시간글제목
ID1.0001.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0000.9820.9541.0001.0000.954
작성자1.0001.0000.9821.0000.6251.0000.9820.625
경로명1.0001.0000.9540.6251.0000.7530.9541.000
수1.0001.0001.0001.0000.7531.0001.0000.753
수정시간1.0001.0001.0000.9820.9541.0001.0000.954
글제목1.0001.0000.9540.6251.0000.7530.9541.000
2023-12-10T23:22:50.242229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수경로명글제목
수1.0000.5550.555
경로명0.5551.0001.000
글제목0.5551.0001.000
2023-12-10T23:22:50.341164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경로명수글제목
경로명1.0000.5551.000
수0.5551.0000.555
글제목1.0000.5551.000

Missing values

2023-12-10T23:22:46.378793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:22:46.535469image/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

ID설명생성일작성자경로명수집일수수정시간글제목
0UgwFYEwwpuh4n0kRpMp4AaABAg1등 yo2009-04-19esneltiashttps://www.youtube.com/watch?v=sbAAMeldBZY2021-03-0102009-04-19고스트메신저(Ghost Messenger) 2차 파일럿
1Ugw85exbJP0LlyuWIaZ4AaABAg축하드려요 ㅎㅎ2009-04-20경기콘텐츠진흥원https://www.youtube.com/watch?v=sbAAMeldBZY2021-03-0112009-04-20고스트메신저(Ghost Messenger) 2차 파일럿
2UgxP59p4t8EInuL3S4Z4AaABAgBobby?2009-07-21Jaden Bennetthttps://www.youtube.com/watch?v=mdXHoTgHIXQ2021-03-0102009-07-21pitter patter
3Ugwt50KKY4pOUGiAAop4AaABAgbeautiful!2009-08-03Emily Sophiehttps://www.youtube.com/watch?v=nC9cCKSByQc2021-03-0102009-08-03A nameless Ballerina
4UgxIMx3dXdd-Uo0euEt4AaABAgI can't believe this has such a low rating. I gave it 55 to balance it out. This is so moving; I actually welled up with tears at the end. A beautiful story beautifully told. Thank you. .x.Sess.x.2009-08-04TheLastGeekbenderhttps://www.youtube.com/watch?v=nC9cCKSByQc2021-03-0102009-08-04A nameless Ballerina
5UgxhXjSoJffbNUdB0hJ4AaABAgI'm stunned that so few people have commented on this. It's so beautifully done -- expressive and poetic without a single word being spoken. That scene with her dancing on the bridge moved me to tears.2009-08-05Chaeleyhttps://www.youtube.com/watch?v=nC9cCKSByQc2021-03-0102009-08-05A nameless Ballerina
6UgzCWl1Rq69QplxXLL14AaABAg고스트메신저 꼭꼭 대박나세요~!! ova기대하고 있습니다~!2009-08-10HyoJung Namhttps://www.youtube.com/watch?v=sbAAMeldBZY2021-03-0102009-08-10고스트메신저(Ghost Messenger) 2차 파일럿
7UgxKQ27_EnRqZx7c_-l4AaABAgWonderful; absolutely adorable!!!2009-09-11Andy Okolovitchhttps://www.youtube.com/watch?v=Oo_E1_sYR_s2021-03-0112009-09-11Hug
8UgyTGDM4giSefSiJ_tx4AaABAgmkkkkkkkkkkkk2009-09-23gometyhttps://www.youtube.com/watch?v=t6zFONGgaKY2021-03-0102009-09-23KSF2009_바투광고_살다보면[이플레이온]
9UgxXhOe6zafsJH91u6h4AaABAg조낸 멋있다 -ㅁ-;;;2009-10-10syonglovehttps://www.youtube.com/watch?v=sbAAMeldBZY2021-03-0112009-10-10고스트메신저(Ghost Messenger) 2차 파일럿
ID설명생성일작성자경로명수집일수수정시간글제목
20Ugx48rIJraZ_8fGHWWB4AaABAgohhhh i want to visit!!! Nice vid =]2009-11-18mrcf2207https://www.youtube.com/watch?v=55zrZ-DJb2A2021-03-0102009-11-182010-2012 VISIT KOREA YEAR WITH SEOUL
21Ugwf44hvHNVeJdQfdbZ4AaABAgwhy dont you pay me the trip and i'll come2009-11-20nemuradhttps://www.youtube.com/watch?v=55zrZ-DJb2A2021-03-0102009-11-202010-2012 VISIT KOREA YEAR WITH SEOUL
22Ugw2BwB_0FstiAR9gIp4AaABAgwow; that was really dumb.2009-11-21russhttps://www.youtube.com/watch?v=dzH-7HSW-JQ2021-03-0102009-11-21dietpigis_변비.avi
23UgxXlzp3lxB3D6H3tVV4AaABAgYaaaay^^ Seoul <32009-11-30Meneer Berthttps://www.youtube.com/watch?v=DGXfZy6j61A2021-03-0102009-11-30Seoul Lantern Festival_in Seoul
24UgxISPKrmwd4H5mJ3mR4AaABAgThe Seoulites know how to throw a party xD2009-12-10Meneer Berthttps://www.youtube.com/watch?v=4_SZSbdlS402021-03-0102009-12-102010-2012 VISIT KOREA YEAR WITH SEOUL - Openning
25UgxSoQ6OB66IRNWnukp4AaABAgwow i cant wait!!! i'll be in seoul next year.. seoul here i come! hehehe2009-12-10Theresa Chunghttps://www.youtube.com/watch?v=4_SZSbdlS402021-03-0102009-12-102010-2012 VISIT KOREA YEAR WITH SEOUL - Openning
26UgwuTfyUc8qfvir7fEF4AaABAgcan't wait to be thereee!! <3 I'm soo excited already! ^^ koreans are so cute (and touchy kekeke~) <32009-12-11B in Koreahttps://www.youtube.com/watch?v=uHMXNHUzDK82021-03-0102009-12-11FreeHug - With Seoul
27UgzrjkDr4pEOFSAUkpB4AaABAgOh~ free hugs; it's so lovely! :D I do this here in Sweden on special event down in the city. ^^ It's so fun~~ I wish I could go to Seoul~~ :32009-12-12HanaBarkhttps://www.youtube.com/watch?v=uHMXNHUzDK82021-03-0102009-12-12FreeHug - With Seoul
28UgztyKvNMn6uaJ0IqA14AaABAgyo quiero un abrazo grandioso !!! quiero ir a seoul I want great free hugs!! I want to go to seoul!!!2009-12-13Miguel Novohttps://www.youtube.com/watch?v=uHMXNHUzDK82021-03-0102009-12-13FreeHug - With Seoul
29UgzGS0gmBcIVQ4arGI54AaABAgI want one. where could I buy in U.A.E dubai?2009-12-31mario2gamemehttps://www.youtube.com/watch?v=aul1dug7Gho2021-03-0102009-12-31wiz_게임파크홀딩스