Overview

Dataset statistics

Number of variables19
Number of observations30
Missing cells33
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory165.4 B

Variable types

Text7
Categorical9
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/fcf86d4d-72bd-496e-875d-02f2bded7c54

Alerts

????????.4 has constant value ""Constant
????? has constant value ""Constant
?????.1 has constant value ""Constant
???????.1 has constant value ""Constant
???????.2 has constant value ""Constant
????????? is highly overall correlated with ?????? and 2 other fieldsHigh correlation
????????.6 is highly overall correlated with ?????? and 2 other fieldsHigh correlation
?????? is highly overall correlated with ??????????.1 and 2 other fieldsHigh correlation
??????????.1 is highly overall correlated with ?????? and 2 other fieldsHigh correlation
????????? is highly imbalanced (78.9%)Imbalance
????????.1 has 1 (3.3%) missing valuesMissing
????????.5 has 2 (6.7%) missing valuesMissing
?????????? has 12 (40.0%) missing valuesMissing
?????? has 9 (30.0%) missing valuesMissing
??????????.1 has 9 (30.0%) missing valuesMissing
??????ID has unique valuesUnique
????????.2 has unique valuesUnique
????????.3 has unique valuesUnique
??????ID.1 has unique valuesUnique
??????????.1 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:14:42.830944
Analysis finished2023-12-10 14:14:46.471761
Duration3.64 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
2023-12-10T23:14:46.756323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters330
Distinct characters63
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 rowfST44A806kA
2nd rowfSNxm1XDSf0
3rd rowfSUy5MPqhi4
4th rowfSpc804bA1U
5th rowfSa-AoFKqUU
ValueCountFrequency (%)
fst44a806ka 1
 
3.3%
fsnxm1xdsf0 1
 
3.3%
fvdqcmlkl2w 1
 
3.3%
fvdffpl19ww 1
 
3.3%
func_t4sgae 1
 
3.3%
fv30mmbfdwo 1
 
3.3%
fumsg5mbf6s 1
 
3.3%
fulemh70sui 1
 
3.3%
fugpnwwqizu 1
 
3.3%
fubb_k-wcve 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:14:47.390695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 33
 
10.0%
U 18
 
5.5%
S 14
 
4.2%
T 11
 
3.3%
0 9
 
2.7%
4 9
 
2.7%
m 8
 
2.4%
8 8
 
2.4%
w 7
 
2.1%
E 7
 
2.1%
Other values (53) 206
62.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 134
40.6%
Uppercase Letter 132
40.0%
Decimal Number 55
16.7%
Connector Punctuation 5
 
1.5%
Dash Punctuation 4
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 33
24.6%
m 8
 
6.0%
w 7
 
5.2%
c 7
 
5.2%
p 6
 
4.5%
b 6
 
4.5%
i 5
 
3.7%
h 5
 
3.7%
x 5
 
3.7%
g 5
 
3.7%
Other values (16) 47
35.1%
Uppercase Letter
ValueCountFrequency (%)
U 18
 
13.6%
S 14
 
10.6%
T 11
 
8.3%
E 7
 
5.3%
F 7
 
5.3%
I 6
 
4.5%
A 6
 
4.5%
H 5
 
3.8%
K 5
 
3.8%
L 5
 
3.8%
Other values (15) 48
36.4%
Decimal Number
ValueCountFrequency (%)
0 9
16.4%
4 9
16.4%
8 8
14.5%
6 6
10.9%
1 6
10.9%
5 6
10.9%
3 5
9.1%
7 3
 
5.5%
2 2
 
3.6%
9 1
 
1.8%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 266
80.6%
Common 64
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 33
 
12.4%
U 18
 
6.8%
S 14
 
5.3%
T 11
 
4.1%
m 8
 
3.0%
w 7
 
2.6%
E 7
 
2.6%
F 7
 
2.6%
c 7
 
2.6%
I 6
 
2.3%
Other values (41) 148
55.6%
Common
ValueCountFrequency (%)
0 9
14.1%
4 9
14.1%
8 8
12.5%
6 6
9.4%
1 6
9.4%
5 6
9.4%
3 5
7.8%
_ 5
7.8%
- 4
6.2%
7 3
 
4.7%
Other values (2) 3
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 33
 
10.0%
U 18
 
5.5%
S 14
 
4.2%
T 11
 
3.3%
0 9
 
2.7%
4 9
 
2.7%
m 8
 
2.4%
8 8
 
2.4%
w 7
 
2.1%
E 7
 
2.1%
Other values (53) 206
62.4%

????????
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
??????
9 
??
7 
??/??
6 
??/???
3 
???/???
3 
Other values (2)
2 

Length

Max length7
Median length6
Mean length4.9
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row??????
2nd row??
3rd row??/??
4th row??/??
5th row??

Common Values

ValueCountFrequency (%)
?????? 9
30.0%
?? 7
23.3%
??/?? 6
20.0%
??/??? 3
 
10.0%
???/??? 3
 
10.0%
??? 1
 
3.3%
????/?? 1
 
3.3%

Length

2023-12-10T23:14:47.702900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:47.948852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30
100.0%

????????.1
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-10T23:14:48.279000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length399
Mean length375.65517
Min length15

Characters and Unicode

Total characters10894
Distinct characters83
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row[18.11.3] ????? ?????
2nd row??? ??? ????: http:goo.glwzc7Ib ???? ??? ??? ??? ??? ??? ????? ??? ???????. ?????. ??? ??? ??: http:www.twitch.tvzilioner
3rd row10?14?(?) ???? ???? LIVE **??? ????** ??? ???????. (10.11?10.24) tbs ??? ?? ?? ??????. ????? ???? 18?18?~20? (?~?) : ??? ?? ??? ?? ??? ???? ???? ??? ??? ?????? 20?06?~21? (?~?) : ??? ????? ??? ?????? ???? ??????. ??? ??? 16?06?~18? (?; ?) : ??? ??! ???; ???? ?? ??? ??? ????! [??? ?2??] ?? ?? ??? KBS ??? & ??? ?? ??? ?? ?? ????! - ??? ?? (???? ????) - ??? ??? - ??? ??? - ??? ??? (?????? ??????) ---------------------------------------------- ?tbs ???? https:www.facebook.commylovetbs ?tbs ???? https:www.tbs.seoul.kr ????TV (???? ????) http:tv.naver.comnewsfactory ?tbs ???? http:bit.ly2EaWnQp
4th row?? ?? 5?? ?????? ???? ??(12?) ?? ??? ????? ????. ?? ?? ?????? ????? ?? ??? ??? ???? ??? ??? ????? ??? ??? ??? ??? ??? ?? ?? ??? ? ???????? ? ? ??? ???? ??????. ??? ?? ?? ? ?? ??? ???? ??????. ???? ? ?? ??; ????? VIDEOMUG #????? #VIDEOMUG ?????? ?? ???? : https:n.sbs.co.krmugTube ?Homepage : https:n.sbs.co.krvideomug ?Facebook : https:www.facebook.comvideomug ?Twitter : https:twitter.comvideomug_sbs
5th rowEBS ????_?????? ?? ??
ValueCountFrequency (%)
1306
75.5%
1 9
 
0.5%
2 7
 
0.4%
as 7
 
0.4%
3 7
 
0.4%
tv 6
 
0.3%
7 6
 
0.3%
20 5
 
0.3%
editing 4
 
0.2%
19 4
 
0.2%
Other values (306) 368
 
21.3%
2023-12-10T23:14:48.903407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 4020
36.9%
1925
17.7%
- 661
 
6.1%
t 269
 
2.5%
. 218
 
2.0%
o 212
 
1.9%
e 199
 
1.8%
a 158
 
1.5%
i 149
 
1.4%
: 146
 
1.3%
Other values (73) 2937
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 4594
42.2%
Lowercase Letter 2527
23.2%
Space Separator 1925
17.7%
Dash Punctuation 661
 
6.1%
Uppercase Letter 620
 
5.7%
Decimal Number 386
 
3.5%
Close Punctuation 64
 
0.6%
Open Punctuation 61
 
0.6%
Math Symbol 39
 
0.4%
Connector Punctuation 17
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 269
 
10.6%
o 212
 
8.4%
e 199
 
7.9%
a 158
 
6.3%
i 149
 
5.9%
w 144
 
5.7%
c 142
 
5.6%
s 141
 
5.6%
n 137
 
5.4%
h 123
 
4.9%
Other values (16) 853
33.8%
Uppercase Letter
ValueCountFrequency (%)
A 47
 
7.6%
E 46
 
7.4%
T 42
 
6.8%
S 39
 
6.3%
I 37
 
6.0%
N 35
 
5.6%
C 34
 
5.5%
O 32
 
5.2%
B 31
 
5.0%
R 28
 
4.5%
Other values (16) 249
40.2%
Other Punctuation
ValueCountFrequency (%)
? 4020
87.5%
. 218
 
4.7%
: 146
 
3.2%
# 57
 
1.2%
; 55
 
1.2%
! 39
 
0.8%
' 20
 
0.4%
@ 16
 
0.3%
& 8
 
0.2%
* 8
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 86
22.3%
0 82
21.2%
2 57
14.8%
3 36
9.3%
4 34
 
8.8%
9 26
 
6.7%
8 22
 
5.7%
7 16
 
4.1%
5 14
 
3.6%
6 13
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 21
53.8%
= 11
28.2%
+ 7
 
17.9%
Close Punctuation
ValueCountFrequency (%)
) 53
82.8%
] 11
 
17.2%
Open Punctuation
ValueCountFrequency (%)
( 50
82.0%
[ 11
 
18.0%
Space Separator
ValueCountFrequency (%)
1925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 661
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7747
71.1%
Latin 3147
28.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 269
 
8.5%
o 212
 
6.7%
e 199
 
6.3%
a 158
 
5.0%
i 149
 
4.7%
w 144
 
4.6%
c 142
 
4.5%
s 141
 
4.5%
n 137
 
4.4%
h 123
 
3.9%
Other values (42) 1473
46.8%
Common
ValueCountFrequency (%)
? 4020
51.9%
1925
24.8%
- 661
 
8.5%
. 218
 
2.8%
: 146
 
1.9%
1 86
 
1.1%
0 82
 
1.1%
# 57
 
0.7%
2 57
 
0.7%
; 55
 
0.7%
Other values (21) 440
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 4020
36.9%
1925
17.7%
- 661
 
6.1%
t 269
 
2.5%
. 218
 
2.0%
o 212
 
1.9%
e 199
 
1.8%
a 158
 
1.5%
i 149
 
1.4%
: 146
 
1.3%
Other values (73) 2937
27.0%

????????.2
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:14:49.257236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.0666667
Min length4

Characters and Unicode

Total characters212
Distinct characters15
Distinct categories2 ?
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 rowPT2H6M8S
2nd rowPT24M47S
3rd rowPT40M51S
4th rowPT2M9S
5th rowPT4M12S
ValueCountFrequency (%)
pt2h6m8s 1
 
3.3%
pt24m47s 1
 
3.3%
pt1m59s 1
 
3.3%
pt3m48s 1
 
3.3%
pt2m15s 1
 
3.3%
pt49m36s 1
 
3.3%
pt4m13s 1
 
3.3%
pt3m28s 1
 
3.3%
pt49m27s 1
 
3.3%
pt2m59s 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:14:50.091511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 30
14.2%
T 30
14.2%
M 28
13.2%
S 28
13.2%
2 20
9.4%
1 19
9.0%
4 12
 
5.7%
3 10
 
4.7%
5 9
 
4.2%
9 7
 
3.3%
Other values (5) 19
9.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 119
56.1%
Decimal Number 93
43.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
21.5%
1 19
20.4%
4 12
12.9%
3 10
10.8%
5 9
9.7%
9 7
 
7.5%
0 6
 
6.5%
8 5
 
5.4%
6 3
 
3.2%
7 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
P 30
25.2%
T 30
25.2%
M 28
23.5%
S 28
23.5%
H 3
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 119
56.1%
Common 93
43.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
21.5%
1 19
20.4%
4 12
12.9%
3 10
10.8%
5 9
9.7%
9 7
 
7.5%
0 6
 
6.5%
8 5
 
5.4%
6 3
 
3.2%
7 2
 
2.2%
Latin
ValueCountFrequency (%)
P 30
25.2%
T 30
25.2%
M 28
23.5%
S 28
23.5%
H 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 30
14.2%
T 30
14.2%
M 28
13.2%
S 28
13.2%
2 20
9.4%
1 19
9.0%
4 12
 
5.7%
3 10
 
4.7%
5 9
 
4.2%
9 7
 
3.3%
Other values (5) 19
9.0%

????????.3
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:14:50.443509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length47
Mean length45.9
Min length12

Characters and Unicode

Total characters1377
Distinct characters74
Distinct categories10 ?
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 row[18.11.3] ????? ?????
2nd row???? ???? 2?? ???? #20 (UNDERTALE)
3rd row[2?] 191014(?)_'??? ?? ??' KBS ??? ?? & ??? ?? ??? ?? (???;???;???;???)????? ????
4th rowD-day ?????; ? ? ?? ?? ??? ??? ?????
5th row?????? ?? ??
ValueCountFrequency (%)
191
70.7%
1 4
 
1.5%
2 3
 
1.1%
kbs 3
 
1.1%
9 2
 
0.7%
20 2
 
0.7%
3 2
 
0.7%
18.11.3 1
 
0.4%
201026 1
 
0.4%
simulator 1
 
0.4%
Other values (60) 60
 
22.2%
2023-12-10T23:14:51.293826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 685
49.7%
252
 
18.3%
1 26
 
1.9%
. 24
 
1.7%
0 18
 
1.3%
e 17
 
1.2%
2 16
 
1.2%
[ 15
 
1.1%
] 15
 
1.1%
! 11
 
0.8%
Other values (64) 298
21.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 743
54.0%
Space Separator 252
 
18.3%
Uppercase Letter 116
 
8.4%
Lowercase Letter 113
 
8.2%
Decimal Number 89
 
6.5%
Open Punctuation 24
 
1.7%
Close Punctuation 24
 
1.7%
Dash Punctuation 11
 
0.8%
Connector Punctuation 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 10
 
8.6%
S 9
 
7.8%
L 9
 
7.8%
M 8
 
6.9%
O 8
 
6.9%
N 7
 
6.0%
A 7
 
6.0%
T 6
 
5.2%
I 6
 
5.2%
H 5
 
4.3%
Other values (14) 41
35.3%
Lowercase Letter
ValueCountFrequency (%)
e 17
15.0%
o 11
 
9.7%
a 10
 
8.8%
n 8
 
7.1%
r 8
 
7.1%
t 7
 
6.2%
i 6
 
5.3%
s 6
 
5.3%
u 5
 
4.4%
c 5
 
4.4%
Other values (12) 30
26.5%
Other Punctuation
ValueCountFrequency (%)
? 685
92.2%
. 24
 
3.2%
! 11
 
1.5%
' 10
 
1.3%
; 7
 
0.9%
& 2
 
0.3%
% 1
 
0.1%
# 1
 
0.1%
: 1
 
0.1%
@ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 26
29.2%
0 18
20.2%
2 16
18.0%
3 7
 
7.9%
9 5
 
5.6%
4 5
 
5.6%
8 4
 
4.5%
6 4
 
4.5%
7 3
 
3.4%
5 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
[ 15
62.5%
( 9
37.5%
Close Punctuation
ValueCountFrequency (%)
] 15
62.5%
) 9
37.5%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1148
83.4%
Latin 229
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17
 
7.4%
o 11
 
4.8%
a 10
 
4.4%
B 10
 
4.4%
S 9
 
3.9%
L 9
 
3.9%
n 8
 
3.5%
r 8
 
3.5%
M 8
 
3.5%
O 8
 
3.5%
Other values (36) 131
57.2%
Common
ValueCountFrequency (%)
? 685
59.7%
252
 
22.0%
1 26
 
2.3%
. 24
 
2.1%
0 18
 
1.6%
2 16
 
1.4%
[ 15
 
1.3%
] 15
 
1.3%
! 11
 
1.0%
- 11
 
1.0%
Other values (18) 75
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 685
49.7%
252
 
18.3%
1 26
 
1.9%
. 24
 
1.7%
0 18
 
1.3%
e 17
 
1.2%
2 16
 
1.2%
[ 15
 
1.1%
] 15
 
1.1%
! 11
 
0.8%
Other values (64) 298
21.6%

??????ID.1
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:14:51.713429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters720
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 rowUCoDLLyiqum2JOBI4Dty8eUA
2nd rowUCUj6rrhMTR9pipbAWBAMvUQ
3rd rowUC5HSw5OY2vfVFSihpiB-AVQ
4th rowUCMEbRpvuwTbXxGiyDb1mT8w
5th rowUCRcrvIT9Hq9jsLbDiY-nQrg
ValueCountFrequency (%)
ucodllyiqum2jobi4dty8eua 1
 
3.3%
ucuj6rrhmtr9pipbawbamvuq 1
 
3.3%
ucfq4v1dauaojnr2ryvwnysw 1
 
3.3%
ucztesxznvjwesizsccsksww 1
 
3.3%
ucyylilojyqkafklvjzx5img 1
 
3.3%
ucwlv3lz_55uax4jsmj-z__q 1
 
3.3%
ucibr0bk06imamblc8saez0a 1
 
3.3%
uck1svuxadvjenwl9non5noa 1
 
3.3%
ucfm_07mxv6cglrek8qdkpaw 1
 
3.3%
uchpjiaegwtdztmwekzfulsa 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:14:52.312043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 42
 
5.8%
C 37
 
5.1%
w 28
 
3.9%
A 17
 
2.4%
a 17
 
2.4%
q 15
 
2.1%
D 14
 
1.9%
s 14
 
1.9%
i 14
 
1.9%
m 14
 
1.9%
Other values (54) 508
70.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 314
43.6%
Lowercase Letter 297
41.2%
Decimal Number 88
 
12.2%
Connector Punctuation 11
 
1.5%
Dash Punctuation 10
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 42
 
13.4%
C 37
 
11.8%
A 17
 
5.4%
D 14
 
4.5%
F 13
 
4.1%
R 13
 
4.1%
Q 13
 
4.1%
E 12
 
3.8%
O 12
 
3.8%
M 11
 
3.5%
Other values (16) 130
41.4%
Lowercase Letter
ValueCountFrequency (%)
w 28
 
9.4%
a 17
 
5.7%
q 15
 
5.1%
s 14
 
4.7%
i 14
 
4.7%
m 14
 
4.7%
l 13
 
4.4%
r 13
 
4.4%
j 13
 
4.4%
y 12
 
4.0%
Other values (16) 144
48.5%
Decimal Number
ValueCountFrequency (%)
8 11
12.5%
9 11
12.5%
5 10
11.4%
6 10
11.4%
2 9
10.2%
4 9
10.2%
3 8
9.1%
1 7
8.0%
0 7
8.0%
7 6
6.8%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 611
84.9%
Common 109
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 42
 
6.9%
C 37
 
6.1%
w 28
 
4.6%
A 17
 
2.8%
a 17
 
2.8%
q 15
 
2.5%
D 14
 
2.3%
s 14
 
2.3%
i 14
 
2.3%
m 14
 
2.3%
Other values (42) 399
65.3%
Common
ValueCountFrequency (%)
8 11
10.1%
_ 11
10.1%
9 11
10.1%
- 10
9.2%
5 10
9.2%
6 10
9.2%
2 9
8.3%
4 9
8.3%
3 8
7.3%
1 7
6.4%
Other values (2) 13
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 42
 
5.8%
C 37
 
5.1%
w 28
 
3.9%
A 17
 
2.4%
a 17
 
2.4%
q 15
 
2.1%
D 14
 
1.9%
s 14
 
1.9%
i 14
 
1.9%
m 14
 
1.9%
Other values (54) 508
70.6%

???????
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:14:52.606487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length14
Mean length10.9
Min length3

Characters and Unicode

Total characters327
Distinct characters51
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

Unique25 ?
Unique (%)83.3%

Sample

1st row??(yum-cast)
2nd row???
3rd rowTBS ?????
4th row????? - VIDEOMUG
5th rowEBS Clipbank
ValueCountFrequency (%)
18
34.0%
kbs 3
 
5.7%
tvchosun 2
 
3.8%
10k 1
 
1.9%
nypi 1
 
1.9%
a 1
 
1.9%
entertainment 1
 
1.9%
mbn 1
 
1.9%
jtbc 1
 
1.9%
mbcentertainment 1
 
1.9%
Other values (23) 23
43.4%
2023-12-10T23:14:53.170670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 102
31.2%
23
 
7.0%
e 13
 
4.0%
n 13
 
4.0%
i 12
 
3.7%
a 11
 
3.4%
t 10
 
3.1%
r 9
 
2.8%
N 8
 
2.4%
o 8
 
2.4%
Other values (41) 118
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 106
32.4%
Other Punctuation 104
31.8%
Uppercase Letter 87
26.6%
Space Separator 23
 
7.0%
Dash Punctuation 3
 
0.9%
Decimal Number 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13
12.3%
n 13
12.3%
i 12
11.3%
a 11
10.4%
t 10
9.4%
r 9
8.5%
o 8
7.5%
m 4
 
3.8%
s 4
 
3.8%
p 4
 
3.8%
Other values (11) 18
17.0%
Uppercase Letter
ValueCountFrequency (%)
N 8
 
9.2%
B 8
 
9.2%
S 8
 
9.2%
K 7
 
8.0%
C 6
 
6.9%
D 5
 
5.7%
M 5
 
5.7%
I 5
 
5.7%
T 5
 
5.7%
H 4
 
4.6%
Other values (11) 26
29.9%
Other Punctuation
ValueCountFrequency (%)
? 102
98.1%
' 1
 
1.0%
; 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 193
59.0%
Common 134
41.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13
 
6.7%
n 13
 
6.7%
i 12
 
6.2%
a 11
 
5.7%
t 10
 
5.2%
r 9
 
4.7%
N 8
 
4.1%
o 8
 
4.1%
B 8
 
4.1%
S 8
 
4.1%
Other values (32) 93
48.2%
Common
ValueCountFrequency (%)
? 102
76.1%
23
 
17.2%
- 3
 
2.2%
' 1
 
0.7%
1 1
 
0.7%
; 1
 
0.7%
( 1
 
0.7%
) 1
 
0.7%
0 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 102
31.2%
23
 
7.0%
e 13
 
4.0%
n 13
 
4.0%
i 12
 
3.7%
a 11
 
3.4%
t 10
 
3.1%
r 9
 
2.8%
N 8
 
2.4%
o 8
 
2.4%
Other values (41) 118
36.1%

????????.4
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-06-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-06-01
2nd row2021-06-01
3rd row2021-06-01
4th row2021-06-01
5th row2021-06-01

Common Values

ValueCountFrequency (%)
2021-06-01 30
100.0%

Length

2023-12-10T23:14:53.416363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:53.647285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-06-01 30
100.0%

????????.5
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing2
Missing (%)6.7%
Memory size372.0 B
2023-12-10T23:14:53.942086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length951
Median length119.5
Mean length168.71429
Min length8

Characters and Unicode

Total characters4724
Distinct characters78
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row??????: http:yumstore.shop.blogpay.co.kr ????? : yumcast11 or ?? ???? : ???TV jw.jun@cj.net Copyright ? 2014 yum-cast All Rights Reserved. ?? ??? ???? ????? ????. ?? ??? ???? ?? ???? ?? ?? ????? ?????.
2nd row?????. ??? ??? ????.
3rd row??? ??; ??? ??! ??? ??? ?? ?? [TBS ?????] ? ?? ? ?? ?TBS ????? ? : https:play.google.comstoreappsdetails?id=com.jnhstudio.tbs_AndroidApp ?TBS ?? ? : https:apps.apple.comkrapptbsid391062560 ????? : http:tbs.seoul.krtvindex.do ????? : https:www.facebook.commylovetbs ???? : https:twitter.comseoultbstv ?????? : https:www.instagram.comseoultbstv ????????? : https:ch.kakao.comchannels@seoultbs ????TV : https:tv.naver.comtbstv ????TV : https:tv.kakao.comchannel2658088livelink6840017?metaObjectType=Channe ? ?? ?? ????? ???? (?~?) ?? 7?6? ?? ? (?~?) ? 9?30? ????? ???? ??? ? 10? 30? ???? ?? ??? ? 10? 30? ?????? (??) ?? 9?; (?) ?? 9? ????19 ?? LIVE (?~?) ?? 10?50? ? ?? ?? kt ?? tv: 214? B tv: 167? U+ tv: 245?
4th row?????? ??? ??? ???? ??? ???? ??? ???? ??????? ???? No.1 ?? ??? ??????. ??? ?? ?? ?; ????? VIDEOMUG ?????? VIDEOMUG ???? : http:www.videomug.co.kr ?????? VIDEOMUG ???? : https:www.facebook.comvideomug ?????? VIDEOMUG ??? : https:twitter.comVIDEOMUG_SBS
5th rowEBS ????? ????????(EBS)? ???? ?? ?? ??? ??? ?????; EBS ?????? ???? ???? ?? ?? ??? ?? ? ???? ?????? ?? ?? ??? ??? ? ????. ???? ???? ???? ??-??? ??? ??? ?? 5? ??? Clip ??; ??? ?? ??? ???. ???? ??-?? ?? ??? ?? ?????? ??? ?? ??(??????)? ?? ???. ? ?? ???? ???? http:clipbank.ebs.co.kr
ValueCountFrequency (%)
446
59.9%
kbs 15
 
2.0%
channel 8
 
1.1%
tv 8
 
1.1%
mbn 7
 
0.9%
the 7
 
0.9%
official 7
 
0.9%
to 6
 
0.8%
entertainment 6
 
0.8%
and 6
 
0.8%
Other values (176) 228
30.6%
2023-12-10T23:14:54.494021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 1374
29.1%
823
17.4%
t 177
 
3.7%
e 164
 
3.5%
o 142
 
3.0%
a 131
 
2.8%
n 116
 
2.5%
. 100
 
2.1%
i 99
 
2.1%
c 85
 
1.8%
Other values (68) 1513
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1683
35.6%
Other Punctuation 1623
34.4%
Space Separator 823
17.4%
Uppercase Letter 321
 
6.8%
Decimal Number 125
 
2.6%
Dash Punctuation 77
 
1.6%
Close Punctuation 31
 
0.7%
Open Punctuation 28
 
0.6%
Math Symbol 10
 
0.2%
Connector Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 177
 
10.5%
e 164
 
9.7%
o 142
 
8.4%
a 131
 
7.8%
n 116
 
6.9%
i 99
 
5.9%
c 85
 
5.1%
s 83
 
4.9%
r 78
 
4.6%
m 73
 
4.3%
Other values (15) 535
31.8%
Uppercase Letter
ValueCountFrequency (%)
B 43
13.4%
S 37
11.5%
T 23
 
7.2%
K 22
 
6.9%
E 21
 
6.5%
C 20
 
6.2%
M 20
 
6.2%
I 15
 
4.7%
V 14
 
4.4%
N 14
 
4.4%
Other values (14) 92
28.7%
Decimal Number
ValueCountFrequency (%)
1 29
23.2%
0 24
19.2%
5 12
9.6%
2 12
9.6%
9 10
 
8.0%
7 9
 
7.2%
3 9
 
7.2%
6 8
 
6.4%
8 7
 
5.6%
4 5
 
4.0%
Other Punctuation
ValueCountFrequency (%)
? 1374
84.7%
. 100
 
6.2%
: 73
 
4.5%
; 38
 
2.3%
' 15
 
0.9%
# 8
 
0.5%
! 7
 
0.4%
@ 6
 
0.4%
& 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
40.0%
= 3
30.0%
+ 3
30.0%
Close Punctuation
ValueCountFrequency (%)
) 25
80.6%
] 6
 
19.4%
Open Punctuation
ValueCountFrequency (%)
( 22
78.6%
[ 6
 
21.4%
Space Separator
ValueCountFrequency (%)
823
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2720
57.6%
Latin 2004
42.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 177
 
8.8%
e 164
 
8.2%
o 142
 
7.1%
a 131
 
6.5%
n 116
 
5.8%
i 99
 
4.9%
c 85
 
4.2%
s 83
 
4.1%
r 78
 
3.9%
m 73
 
3.6%
Other values (39) 856
42.7%
Common
ValueCountFrequency (%)
? 1374
50.5%
823
30.3%
. 100
 
3.7%
- 77
 
2.8%
: 73
 
2.7%
; 38
 
1.4%
1 29
 
1.1%
) 25
 
0.9%
0 24
 
0.9%
( 22
 
0.8%
Other values (19) 135
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 1374
29.1%
823
17.4%
t 177
 
3.7%
e 164
 
3.5%
o 142
 
3.0%
a 131
 
2.8%
n 116
 
2.5%
. 100
 
2.1%
i 99
 
2.1%
c 85
 
1.8%
Other values (68) 1513
32.0%

??????????
Date

MISSING 

Distinct16
Distinct (%)88.9%
Missing12
Missing (%)40.0%
Memory size372.0 B
Minimum2011-03-08 00:00:00
Maximum2017-12-20 00:00:00
2023-12-10T23:14:54.681562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:54.855458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

?????
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:14:55.111181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:55.294120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

?????.1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:14:55.481468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:55.637822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

??????
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)100.0%
Missing9
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean48.81
Minimum1.5
Maximum174.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:14:55.854306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile5
Q113.78
median36.13
Q378
95-th percentile110.62
Maximum174.71
Range173.21
Interquartile range (IQR)64.22

Descriptive statistics

Standard deviation44.954779
Coefficient of variation (CV)0.92101576
Kurtosis1.5286914
Mean48.81
Median Absolute Deviation (MAD)26.6
Skewness1.2748972
Sum1025.01
Variance2020.9322
MonotonicityNot monotonic
2023-12-10T23:14:56.085749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
38.55 1
 
3.3%
84.0 1
 
3.3%
50.0 1
 
3.3%
26.6 1
 
3.3%
8.17 1
 
3.3%
9.53 1
 
3.3%
78.0 1
 
3.3%
13.78 1
 
3.3%
174.71 1
 
3.3%
46.13 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 9
30.0%
ValueCountFrequency (%)
1.5 1
3.3%
5.0 1
3.3%
8.17 1
3.3%
9.53 1
3.3%
10.71 1
3.3%
13.78 1
3.3%
15.0 1
3.3%
18.0 1
3.3%
26.6 1
3.3%
35.3 1
3.3%
ValueCountFrequency (%)
174.71 1
3.3%
110.62 1
3.3%
109.89 1
3.3%
88.89 1
3.3%
84.0 1
3.3%
78.0 1
3.3%
64.5 1
3.3%
50.0 1
3.3%
46.13 1
3.3%
38.55 1
3.3%

???????.1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:14:56.331078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:56.494958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

???????.2
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:14:56.666180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:56.813850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

????????.6
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
9 
<NA>
9 
0
9 
2
2 
3
1 

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row1
2nd row<NA>
3rd row1
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
1 9
30.0%
<NA> 9
30.0%
0 9
30.0%
2 2
 
6.7%
3 1
 
3.3%

Length

2023-12-10T23:14:57.013124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:57.228131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9
30.0%
na 9
30.0%
0 9
30.0%
2 2
 
6.7%
3 1
 
3.3%

?????????
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0.0
29 
0.01
 
1

Length

Max length4
Median length3
Mean length3.0333333
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 29
96.7%
0.01 1
 
3.3%

Length

2023-12-10T23:14:57.441512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:57.605106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 29
96.7%
0.01 1
 
3.3%

?????????.1
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
-0.07
20 
0.0
9 
0.07
 
1

Length

Max length5
Median length5
Mean length4.3666667
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0.0
2nd row-0.07
3rd row0.0
4th row-0.07
5th row-0.07

Common Values

ValueCountFrequency (%)
-0.07 20
66.7%
0.0 9
30.0%
0.07 1
 
3.3%

Length

2023-12-10T23:14:57.781840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:14:58.101452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.07 21
70.0%
0.0 9
30.0%

??????????.1
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct21
Distinct (%)100.0%
Missing9
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean0.030952381
Minimum-0.52
Maximum1.5
Zeros1
Zeros (%)3.3%
Negative12
Negative (%)40.0%
Memory size402.0 B
2023-12-10T23:14:58.308453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.52
5-th percentile-0.48
Q1-0.38
median-0.12
Q30.37
95-th percentile0.75
Maximum1.5
Range2.02
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.5241174
Coefficient of variation (CV)16.933024
Kurtosis1.5357536
Mean0.030952381
Median Absolute Deviation (MAD)0.31
Skewness1.2758192
Sum0.65
Variance0.27469905
MonotonicityNot monotonic
2023-12-10T23:14:58.533740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-0.09 1
 
3.3%
0.44 1
 
3.3%
0.05 1
 
3.3%
-0.23 1
 
3.3%
-0.44 1
 
3.3%
-0.43 1
 
3.3%
0.37 1
 
3.3%
-0.38 1
 
3.3%
1.5 1
 
3.3%
0.0 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 9
30.0%
ValueCountFrequency (%)
-0.52 1
3.3%
-0.48 1
3.3%
-0.44 1
3.3%
-0.43 1
3.3%
-0.41 1
3.3%
-0.38 1
3.3%
-0.36 1
3.3%
-0.33 1
3.3%
-0.23 1
3.3%
-0.13 1
3.3%
ValueCountFrequency (%)
1.5 1
3.3%
0.75 1
3.3%
0.74 1
3.3%
0.5 1
3.3%
0.44 1
3.3%
0.37 1
3.3%
0.22 1
3.3%
0.05 1
3.3%
0.0 1
3.3%
-0.09 1
3.3%

Interactions

2023-12-10T23:14:44.544211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:44.127111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:44.708602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:14:44.284512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:14:58.719494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
??????ID????????????????.1????????.2????????.3??????ID.1???????????????.5????????????????????????.6??????????????????.1??????????.1
??????ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
????????1.0001.0001.0001.0001.0001.0000.0001.0001.0000.0000.0000.0000.4890.000
????????.11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
????????.21.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
????????.31.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
??????ID.11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
???????1.0000.0001.0001.0001.0001.0001.0001.0001.0000.9670.9471.0000.8340.967
????????.51.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
??????????1.0001.0001.0001.0001.0001.0001.0001.0001.0000.7510.000NaN1.0000.751
??????1.0000.0001.0001.0001.0001.0000.9671.0000.7511.0000.9991.0000.0001.000
????????.61.0000.0001.0001.0001.0001.0000.9471.0000.0000.9991.0001.0000.3050.999
?????????1.0000.0001.0001.0001.0001.0001.0001.000NaN1.0001.0001.0000.0731.000
?????????.11.0000.4891.0001.0001.0001.0000.8341.0001.0000.0000.3050.0731.0000.000
??????????.11.0000.0001.0001.0001.0001.0000.9671.0000.7511.0000.9991.0000.0001.000
2023-12-10T23:14:59.012877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
??????????????????????????.1????????.6
????????1.0000.0000.3380.000
?????????0.0001.0000.1090.946
?????????.10.3380.1091.0000.272
????????.60.0000.9460.2721.000
2023-12-10T23:14:59.195905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
????????????????.1????????????????.6??????????????????.1
??????1.0001.0000.0000.8410.8270.000
??????????.11.0001.0000.0000.8410.8270.000
????????0.0000.0001.0000.0000.0000.338
????????.60.8410.8410.0001.0000.9460.272
?????????0.8270.8270.0000.9461.0000.109
?????????.10.0000.0000.3380.2720.1091.000

Missing values

2023-12-10T23:14:45.045912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:14:45.576142image/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.
2023-12-10T23:14:45.934930image/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

??????ID????????????????.1????????.2????????.3??????ID.1???????????????.4????????.5????????????????????.1?????????????.1???????.2????????.6??????????????????.1??????????.1
0fST44A806kA??????[18.11.3] ????? ?????PT2H6M8S[18.11.3] ????? ?????UCoDLLyiqum2JOBI4Dty8eUA??(yum-cast)2021-06-01??????: http:yumstore.shop.blogpay.co.kr ????? : yumcast11 or ?? ???? : ???TV jw.jun@cj.net Copyright ? 2014 yum-cast All Rights Reserved. ?? ??? ???? ????? ????. ?? ??? ???? ?? ???? ?? ?? ????? ?????.<NA>0035.30010.00.0-0.13
1fSNxm1XDSf0????? ??? ????: http:goo.glwzc7Ib ???? ??? ??? ??? ??? ??? ????? ??? ???????. ?????. ??? ??? ??: http:www.twitch.tvzilionerPT24M47S???? ???? 2?? ???? #20 (UNDERTALE)UCUj6rrhMTR9pipbAWBAMvUQ???2021-06-01?????. ??? ??? ????.2014-09-3000<NA>00<NA>0.0-0.07<NA>
2fSUy5MPqhi4??/??10?14?(?) ???? ???? LIVE **??? ????** ??? ???????. (10.11?10.24) tbs ??? ?? ?? ??????. ????? ???? 18?18?~20? (?~?) : ??? ?? ??? ?? ??? ???? ???? ??? ??? ?????? 20?06?~21? (?~?) : ??? ????? ??? ?????? ???? ??????. ??? ??? 16?06?~18? (?; ?) : ??? ??! ???; ???? ?? ??? ??? ????! [??? ?2??] ?? ?? ??? KBS ??? & ??? ?? ??? ?? ?? ????! - ??? ?? (???? ????) - ??? ??? - ??? ??? - ??? ??? (?????? ??????) ---------------------------------------------- ?tbs ???? https:www.facebook.commylovetbs ?tbs ???? https:www.tbs.seoul.kr ????TV (???? ????) http:tv.naver.comnewsfactory ?tbs ???? http:bit.ly2EaWnQpPT40M51S[2?] 191014(?)_'??? ?? ??' KBS ??? ?? & ??? ?? ??? ?? (???;???;???;???)????? ????UC5HSw5OY2vfVFSihpiB-AVQTBS ?????2021-06-01??? ??; ??? ??! ??? ??? ?? ?? [TBS ?????] ? ?? ? ?? ?TBS ????? ? : https:play.google.comstoreappsdetails?id=com.jnhstudio.tbs_AndroidApp ?TBS ?? ? : https:apps.apple.comkrapptbsid391062560 ????? : http:tbs.seoul.krtvindex.do ????? : https:www.facebook.commylovetbs ???? : https:twitter.comseoultbstv ?????? : https:www.instagram.comseoultbstv ????????? : https:ch.kakao.comchannels@seoultbs ????TV : https:tv.naver.comtbstv ????TV : https:tv.kakao.comchannel2658088livelink6840017?metaObjectType=Channe ? ?? ?? ????? ???? (?~?) ?? 7?6? ?? ? (?~?) ? 9?30? ????? ???? ??? ? 10? 30? ???? ?? ??? ? 10? 30? ?????? (??) ?? 9?; (?) ?? 9? ????19 ?? LIVE (?~?) ?? 10?50? ? ?? ?? kt ?? tv: 214? B tv: 167? U+ tv: 245?2012-02-230038.550010.00.0-0.09
3fSpc804bA1U??/???? ?? 5?? ?????? ???? ??(12?) ?? ??? ????? ????. ?? ?? ?????? ????? ?? ??? ??? ???? ??? ??? ????? ??? ??? ??? ??? ??? ?? ?? ??? ? ???????? ? ? ??? ???? ??????. ??? ?? ?? ? ?? ??? ???? ??????. ???? ? ?? ??; ????? VIDEOMUG #????? #VIDEOMUG ?????? ?? ???? : https:n.sbs.co.krmugTube ?Homepage : https:n.sbs.co.krvideomug ?Facebook : https:www.facebook.comvideomug ?Twitter : https:twitter.comvideomug_sbsPT2M9SD-day ?????; ? ? ?? ?? ??? ??? ?????UCMEbRpvuwTbXxGiyDb1mT8w????? - VIDEOMUG2021-06-01?????? ??? ??? ???? ??? ???? ??? ???? ??????? ???? No.1 ?? ??? ??????. ??? ?? ?? ?; ????? VIDEOMUG ?????? VIDEOMUG ???? : http:www.videomug.co.kr ?????? VIDEOMUG ???? : https:www.facebook.comvideomug ?????? VIDEOMUG ??? : https:twitter.comVIDEOMUG_SBS2016-03-2900109.890020.0-0.070.74
4fSa-AoFKqUU??EBS ????_?????? ?? ??PT4M12S?????? ?? ??UCRcrvIT9Hq9jsLbDiY-nQrgEBS Clipbank2021-06-01EBS ????? ????????(EBS)? ???? ?? ?? ??? ??? ?????; EBS ?????? ???? ???? ?? ?? ??? ?? ? ???? ?????? ?? ?? ??? ??? ? ????. ???? ???? ???? ??-??? ??? ??? ?? 5? ??? Clip ??; ??? ?? ??? ???. ???? ??-?? ?? ??? ?? ?????? ??? ?? ??(??????)? ?? ???. ? ?? ???? ???? http:clipbank.ebs.co.kr<NA>00<NA>00<NA>0.0-0.07<NA>
5fSrjhX18W88??????3?: ??? ??? ??? ??? ?? ???? ?? ??; ????? ??? ? ? ??? ??? ?? ????. ??; ??? ??? ?? ?? ??? ???? ?????? ??? ????? ? ???. 20?? ???? ???? ??? ???? ??? ???? ???? ??? ??? ?? ??? ??? ??? ?? ? 20?? ? ??? ??. ??? ??? ???? ??? ???? ??? ??? ?? ???? ?????? ??? ?? ??; ???? ??? ?? ? ??? ??? ?? ?? ??? ??? ??? ?? ??? ??? ?????... 10? 20? ??? ? 9? 30? 3;4? ?? ?? [Ch.19] ??? ??? ???; TV?? ????? : www.tvchosun.comPT31S???? : ?????_???? 3;4? ??UCuw1hxBo5mDVUhgMzRDk3awTVCHOSUN - TV??2021-06-01TV??(TVCHOSUN) ?? ?? YouTube ???.2011-10-130015.00000.00.0-0.36
6fSvP8HNMq8E??????????X?? - LALALAPT3M41S???? ???? Yu Huiyeol's Sketchbook - ????X?? - LALALA. 20170902UCeLPm9yH_a_QH8n6445G-OwKBS Kpop2021-06-01[KBS ????] ?? ?? ??; KBS kpop ???. [KBS Korean Broadcasting System] Official Music Channel; KBS kpop.2011-12-2800110.620020.0-0.070.75
7fSyuiK_jbhE???????? ???????. ?? ???? BMW 3?? 1??? - 118d M SPORT? ???? ??? ??? ???????. ??? ??? ??? https:www.youtube.comwatch?v=r_32rp3r48k ?? ??? ? ????. ??? ???? ? http:bit.ly2Df0CLl ? Please SUBSCRIBE #???? #BMW #1???PT10M28S??? ??? BMW 3?? 1??? - 118d M SPORT ??? ????!UC9T8wL0qUwhpcKSv73J5dqA????2021-06-01???? ??? ??? ??? - Auto Magazine www.motorpd.com Facebook: facebook.commotorpd Twitter: twitter.commotorpd1 Instagram: instagrammotorpd1 Google+:plus.google.com113593086973172778755about<NA>0018.00000.00.0-0.33
8fT65xPDyF6U????/?????? ????? ???????~ ??? ?? ????? ??? ?? ???? ?? ---------------------------------------------------------------------- ??? ???? ??????! ???? : https:www.youtube.comc????????sub_confirmation=1 ?? : ??(Gome) (Shiba inu) ?? : ?(female) ?? : 2015.07.01 ?? : ???? ??? ???; ??? ?? : ??? (??? ??) ?? : ??(Taeng) (Black tan Shiba inu) ?? : ?(male) ?? : 2015.03.13 ?? : ???? ???? ???; ??? ???; ????? ??? ?? : ??? (?? ??? ??) ?? : ??(Yoe woo) (White Shiba inu) ?? : ?(female) ?? : 2018.10.04 ?? : ?? ?? ?;?;?? ??? ??; ?? ?? ?? ??? ?? ?? ?? : fox(????); ??(?? ?+I) ?????? : http:cafe.naver.comwelovepetfamily ?????? : https:www.instagram.comshiba_gomtaeng ?? ???? : https:www.facebook.comShibaGomTaeng ----------------------------------------------------------------------PT6M11S?? ???? ???? ???(??? ???? ?? ??? ??)UCX2laRqGQhqoChYmlaUgOiw??? ??????2021-06-01??? ?? ??? ??? ??? ?? ??? ???? ??? ??? ?????. ?? ??? ? 9? ??? ?? ?????! - ??? ??? profile ?? : ??(Gom) (Shiba inu ??) ?? : ?(female) ?? : 2015.07.01 ?? : Yellow hair ???? ??? ???; ??? ?? : ??? (??? ??) ?? : ??(Taeng) (Black tan Shiba inu ??) ?? : ?(male) ?? : 2015.03.13 ?? : Black hair ???? ???? ???; ??? ???; ????? ??? ?? : ??? (?? ??? ??) ?? : ??(Yeo woo) (White Shiba inu ??) ?? : ?(female) ?? : 2018.10.04 ?? : ?? ?? ?;?;?? ??? ??; ?? ?? ?? ??? ?? ?? ?? : fox(????); ??(?? ?+I) ??? : ?? ??????; ?? ?? ??? ????(=??) : ??; ????? Ending Song provided by ?? https:www.youtube.comchannelUCDIL26BCA9FveHwMUmUUe1w ---------------------------------------------------------------------- ??? ???? ??????! ???? : https:www.youtube.comc????????sub... ?????? : http:cafe.naver.comwelovepetfamily ?????? : https:www.instagram.comshiba_gomtaeng ?? ???? : https:www.facebook.comShibaGomTaeng ???? ??: movingbesut@naver.com2012-05-030036.130010.0-0.07-0.12
9fT8ca3KF0rY??/?????? ???? LiveMOFA ??? ????? ???? ???? : 2015? 8? 17? (?) ??? : ??? ??? ???; ??? ??? ??? ????; ??? ??? ??? ???? ? ? ???? ??? ???? ????(http:www.ustream.tvchannellivemofa )? ???? ???? ? ????!PT1H25M12S[LiveMOFA] 2015.8.17. ??? ????? ???UCwRFj9gC3meixU8fqKJdgxA??? Ministry of Foreign Affairs; Korea2021-06-01?????! ???? ??? ??????2013-03-22001.50000.00.07-0.52
??????ID????????????????.1????????.2????????.3??????ID.1???????????????.4????????.5????????????????????.1?????????????.1???????.2????????.6??????????????????.1??????????.1
20fUG330L1Igo??? ???? : goat simulator goatz (?? ????? Goatz ) ? ??? ??[click] http:goo.gl8ja3QQ ? ????[click]: https:www.facebook.comKaibagoon ? ?????: ?????: ????? (?) ???? (?) ????? (?) ????? ????! ?? ??? ???? ???? ??? ??? ???? ???? ?? ??? ?? ???? ??? ???? ?? ?? !!! ???? ?? ?????!! ??? ??? ?? ???! Thank you for watching funny videosPT29M20S[????] ?? ????? Goatz ????DLC - ???? (1) goat simulatorUCDEOj33PPDR-Hw9RxdKfjpw????2021-06-01CJ E&M DIA TV ?? ?? ?? ??? ?????<NA>0013.780000.0-0.07-0.38
21fUbB_k-WCVE??????????... ??? ???? ???? ?? ????~? ?? ??? ?? ??? ???PT2M59S????... ??? ???? ???? ?? ????~? ?? ??? ?? ??? ??? [?? ???] KBS 201026 ??UChpjIaEgwtDZtmWEkzFulSAKBS Drama2021-06-01? ?????; ?????; ?????? ? KBS ??? ??? ??; ??????? ? KBS ?? ?? ?? ???? ??? ? ?? ??? ????? :) ? KBS [Korean Broadcasting System; ????] Drama Official Youtube Channel ? KBS Official Website: http:www.kbs.co.kr ? ??? ???? : https:www.wavve.com #KBS #??? #?? #KBS??? #KBSDRAMA #KBSDrama #???? #KBS2011-12-280078.00010.0-0.070.37
22fUgpNwWQizU??Hi; I'm DDaHyoNi; a Korean Cloud9 Hearthstone player; as well as a twitch streamer. Please Subscribe+Like+leave comment after you enjoy my video. Thanks! Cloud9 ?? ???? ???????; ??? ????? ???? ??????. ?? ??? ???? ?? ??+???+?????? ???????! ???? Twitch : http:www.twitch.tvddahyoni ???? ???? Twitter : https:twitter.comDDaHyoNi ???? ?? ?? : 713 Wed Video Edited By: Wan????? SimPT49M27S?? ?? ???? 23 [???? ??1???] - ???? HearthstoneUCFM_07Mxv6CglREk8qdkPaw???DDaHyoNi2021-06-01Twitch?? ????? ???? Cloud9 ?? ????? '???'?? ?????. ??? ??: ddahyoni@naver.com<NA>00<NA>00<NA>0.0-0.07<NA>
23fUleMH70SuI??????????? ??? ?? ?? ??; ???? ??? ?? ??? ????PT3M28S????? ??? ?? ?? ??; ???? ??? ?? ??? ???? [???? ???House Husband 2] KBS 210116 ??UCK1sVuXaDvJeNwl9noN5nOAKBS Entertain2021-06-01[KBS ????] ?? ?? ??; KBS Entertainment ???. [KBS Korean Broadcasting System] Official Variety Channel; KBS Entertainment.2011-12-28009.530000.0-0.07-0.43
24fUmsg5MbF6s????????? ?? - ??? ? 10?35? ??!PT4M13S[????? ???] ???? ??? ??? ????!UCiBr0bK06imaMbLc8sAEz0AMBCentertainment2021-06-01Welcome to the official YouTube page of MBC; MBCentertainment A perfect channel full of entertainment and fun! Enjoy our exclusive content; Subscribe and stay tuned for the latest updates!<NA>008.170000.00.0-0.44
25fV30mmBfdWo??/??[TV CHOSUN LIVE] 9? 3? (?) '?? 9' ???? ? ????? ?? ?? ????????? ? ???? ? 20? ? ???? ??????? ???; ??? ??? ? 10m ??? ?? ???????? ?? ??? ? ?? ?? 7? '?????'???? ???? ?? ???? ? ???? ?? ???????? ?? ?? ?? ? ??? ???? ?? ???7??? ??? ? ??? ? ?~? 07:30 ?????? ? ? 08:40 ???? ??? ? ?~? 09:00 ???? ? ?~? 13:00 ???? ??? ? ?~? 14:30 ???? 24 ? ?~? 17:30 ??? ??? ??? ? ?~? 21:00 ??9 ? ?~? 14:00 ???? ? ?~? 19:00 ??7 [Ch.19] ??? ?? ??? ????. ?? ?? ???? http:news.tvchosun.com ?? ?? ???? https:www.facebook.comtvchosunnews ?? ?? ??? https:twitter.comTVChosunNews * ???? : ???(tvchosun@chosun.com); ????(tv????); ??(1661-0190)PT49M36S[TV CHOSUN LIVE] 9? 3? (?) ?? 9 - 20? ? ???? ???UCWlV3Lz_55UaX4JsMj-z__Q??TVCHOSUN2021-06-01TV?? ?? ?? YouTube ???.2012-08-230026.60000.00.0-0.23
26fUnc_T4SGAE????????? ??? ??? ???~ ???? ?? ??? ???! #mbn#????#??#??#??#????#???19#?????????#????#????#??????? ?MBN Entertainment ???? : https:www.youtube.comchannelUCYyLIlOJyqkAFKlVjzX5img?sub_confirmation=1 ?MBN ?? ???? : https:www.mbn.co.krPT2M15S??...??..? ? ???...! ? ??? ?? ??? ????? MBN 201023 ??UCYyLIlOJyqkAFKlVjzX5imgMBN Entertainment2021-06-01???? ???? '?? ??; ?? ??' ??? MBN ?? ??&?? ??; 'MBN Entetainment'???:) ???? ??? ?? ?? ? ???? ???? MBN Entertainment? ?????? Welcome to ?MBN Entertainment? ?MBN Entertaiment? is the official MBN program Channel. Let's scribe to 'MBN Entertainment'. And You will be happy everyday:)2017-12-2000<NA>00<NA>0.0-0.07<NA>
27fVDfFpL19ww??/?????19 ?? ?? ??? '? ???(We Believe) ??? ?????' ?? ????? ???19? ?? ??? ??? ???? ????? ??? ??? ???? ?????. ??????? ???19????? ???? ??? ??? ??? ??? ????? ? ? ?? ???? ??? ???19 ??? ?? ??? ???? ??????. ?????; ?????; ?????; ???????; ???????; ????? ? ?? 6? ?? ????? ?? ??? ?? ??? ??? ??? ???? ?? ???? ??? ?? ??? ??? ?? ??? ??????. ??; ??? ???? ???? ??; ?? ?? ??? ??; ???? ? ?? ??? ?? ???? ??? ?? ???? ??? ??? ??? ???? ???? ???????.PT3M48SWe Believe ??? ?????!(???19 ?? MBC?????)UCzteSXznVjwESizsCcSKSWw?????2021-06-01???? ??? ?????? ?? ? ???? ??;???? ??; ???????; ????? ?? ?? ?? ??? ???? ??????.<NA>00<NA>00<NA>0.0-0.07<NA>
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