Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells4
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory71.1 B

Variable types

Text4
Categorical1
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/4357c6c8-4d6e-4f2b-b7b2-38138cddab03

Alerts

수집일 has constant value ""Constant
키워드빈도 is highly overall correlated with 키워드중요도High correlation
키워드중요도 is highly overall correlated with 키워드빈도High correlation
설명 has 2 (7.7%) missing valuesMissing
생성일 has 2 (7.7%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique
키워드중요도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:53:53.489682
Analysis finished2023-12-10 13:53:56.526697
Duration3.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널ID
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T22:53:56.809155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters624
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowUC0bm8kKuMp8chJuxzlLnlnA
2nd rowUCwC8xqx6nDDBRKV2sB-tNBA
3rd rowUCB-_erKKoU9nM5Z4tm4O4fw
4th rowUCdlJ_IHHqtzV289zeQcqNaw
5th rowUCThvzbgPVpp755QtLqnKLdg
ValueCountFrequency (%)
uc0bm8kkump8chjuxzllnlna 1
 
3.8%
ucwc8xqx6nddbrkv2sb-tnba 1
 
3.8%
ucjvkx-srnsj-qyeio0m7jcq 1
 
3.8%
uc1yklybrfcclf8pmz6llqta 1
 
3.8%
uclvt0gwxhhznabonsbwf7cg 1
 
3.8%
ucem8l1w4owhkqpoog1sb4_w 1
 
3.8%
uch48zl8cbqurcmmogaeuehq 1
 
3.8%
ucklof14rze4o9k6wvp-ccjq 1
 
3.8%
ucxanyxgmtfjp3ze8opnvjvq 1
 
3.8%
ucbpbczhgg_kx_1wb0cdu5lw 1
 
3.8%
Other values (16) 16
61.5%
2023-12-10T22:53:57.351723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 36
 
5.8%
U 29
 
4.6%
Q 17
 
2.7%
4 17
 
2.7%
p 15
 
2.4%
8 14
 
2.2%
J 14
 
2.2%
1 13
 
2.1%
w 13
 
2.1%
O 13
 
2.1%
Other values (54) 443
71.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 283
45.4%
Lowercase Letter 239
38.3%
Decimal Number 85
 
13.6%
Dash Punctuation 9
 
1.4%
Connector Punctuation 8
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 36
 
12.7%
U 29
 
10.2%
Q 17
 
6.0%
J 14
 
4.9%
O 13
 
4.6%
B 11
 
3.9%
H 11
 
3.9%
Y 11
 
3.9%
L 10
 
3.5%
K 10
 
3.5%
Other values (16) 121
42.8%
Lowercase Letter
ValueCountFrequency (%)
p 15
 
6.3%
w 13
 
5.4%
b 13
 
5.4%
n 12
 
5.0%
g 12
 
5.0%
o 11
 
4.6%
c 11
 
4.6%
x 11
 
4.6%
l 11
 
4.6%
e 10
 
4.2%
Other values (16) 120
50.2%
Decimal Number
ValueCountFrequency (%)
4 17
20.0%
8 14
16.5%
1 13
15.3%
0 10
11.8%
5 7
8.2%
9 7
8.2%
7 5
 
5.9%
6 5
 
5.9%
2 4
 
4.7%
3 3
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 522
83.7%
Common 102
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 36
 
6.9%
U 29
 
5.6%
Q 17
 
3.3%
p 15
 
2.9%
J 14
 
2.7%
w 13
 
2.5%
O 13
 
2.5%
b 13
 
2.5%
n 12
 
2.3%
g 12
 
2.3%
Other values (42) 348
66.7%
Common
ValueCountFrequency (%)
4 17
16.7%
8 14
13.7%
1 13
12.7%
0 10
9.8%
- 9
8.8%
_ 8
7.8%
5 7
6.9%
9 7
6.9%
7 5
 
4.9%
6 5
 
4.9%
Other values (2) 7
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 36
 
5.8%
U 29
 
4.6%
Q 17
 
2.7%
4 17
 
2.7%
p 15
 
2.4%
8 14
 
2.2%
J 14
 
2.2%
1 13
 
2.1%
w 13
 
2.1%
O 13
 
2.1%
Other values (54) 443
71.0%

채널명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T22:53:57.678507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.8076923
Min length3

Characters and Unicode

Total characters229
Distinct characters120
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row주예지 JOOYEJI
2nd rowi강서TV_강서구청 방송국
3rd row주시옹 자연을 담다
4th row냉철tv
5th row복고맨
ValueCountFrequency (%)
주예지 1
 
2.3%
jooyeji 1
 
2.3%
east2westofficial 1
 
2.3%
광주맛집 1
 
2.3%
허언 1
 
2.3%
빽형 1
 
2.3%
motorgraph 1
 
2.3%
모터그래프 1
 
2.3%
단군tv 1
 
2.3%
소방청 1
 
2.3%
Other values (34) 34
77.3%
2023-12-10T22:53:58.346808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
7.9%
o 8
 
3.5%
e 7
 
3.1%
a 7
 
3.1%
t 6
 
2.6%
l 6
 
2.6%
T 6
 
2.6%
i 5
 
2.2%
V 5
 
2.2%
r 4
 
1.7%
Other values (110) 157
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
43.2%
Lowercase Letter 64
27.9%
Uppercase Letter 44
19.2%
Space Separator 18
 
7.9%
Decimal Number 2
 
0.9%
Connector Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3
 
3.0%
청 2
 
2.0%
서 2
 
2.0%
방 2
 
2.0%
의 2
 
2.0%
예 2
 
2.0%
옛 2
 
2.0%
능 2
 
2.0%
지 2
 
2.0%
보 2
 
2.0%
Other values (68) 78
78.8%
Lowercase Letter
ValueCountFrequency (%)
o 8
12.5%
e 7
10.9%
a 7
10.9%
t 6
9.4%
l 6
9.4%
i 5
7.8%
r 4
 
6.2%
b 3
 
4.7%
u 3
 
4.7%
n 3
 
4.7%
Other values (9) 12
18.8%
Uppercase Letter
ValueCountFrequency (%)
T 6
13.6%
V 5
11.4%
C 3
 
6.8%
M 3
 
6.8%
E 3
 
6.8%
O 3
 
6.8%
J 3
 
6.8%
I 2
 
4.5%
H 2
 
4.5%
Y 2
 
4.5%
Other values (9) 12
27.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 108
47.2%
Hangul 99
43.2%
Common 22
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3
 
3.0%
청 2
 
2.0%
서 2
 
2.0%
방 2
 
2.0%
의 2
 
2.0%
예 2
 
2.0%
옛 2
 
2.0%
능 2
 
2.0%
지 2
 
2.0%
보 2
 
2.0%
Other values (68) 78
78.8%
Latin
ValueCountFrequency (%)
o 8
 
7.4%
e 7
 
6.5%
a 7
 
6.5%
t 6
 
5.6%
l 6
 
5.6%
T 6
 
5.6%
i 5
 
4.6%
V 5
 
4.6%
r 4
 
3.7%
C 3
 
2.8%
Other values (28) 51
47.2%
Common
ValueCountFrequency (%)
18
81.8%
2 2
 
9.1%
_ 1
 
4.5%
: 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130
56.8%
Hangul 99
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
 
13.8%
o 8
 
6.2%
e 7
 
5.4%
a 7
 
5.4%
t 6
 
4.6%
l 6
 
4.6%
T 6
 
4.6%
i 5
 
3.8%
V 5
 
3.8%
r 4
 
3.1%
Other values (32) 58
44.6%
Hangul
ValueCountFrequency (%)
주 3
 
3.0%
청 2
 
2.0%
서 2
 
2.0%
방 2
 
2.0%
의 2
 
2.0%
예 2
 
2.0%
옛 2
 
2.0%
능 2
 
2.0%
지 2
 
2.0%
보 2
 
2.0%
Other values (68) 78
78.8%

수집일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021-01-01
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2021-01-01 26
100.0%

Length

2023-12-10T22:53:58.581173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:53:58.730061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-01 26
100.0%

설명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2023-12-10T22:53:59.179967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length646
Median length74.5
Mean length97.416667
Min length11

Characters and Unicode

Total characters2338
Distinct characters341
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구청의 공감 소통 방송 i강서TV
2nd row자연의 아름다움을 노래와 함께 담았습니다. 멍 때리고 보기 좋은 채널입니다.
3rd row주식쟁이의 내맘대로 방송 hongills99@gmail.com
4th row젊은놈이 알려주는 복고음악! 약 일주일 간격으로 한 아티스트 소개를 진행할 예정입니다.
5th row라이너의 근본 채널; 게임-만화 전문 라이너TV입니다. 비즈니스 문의 rainermr@naver.com rainerstudios@naver.com
ValueCountFrequency (%)
7
 
1.6%
the 6
 
1.4%
유튜브 5
 
1.2%
to 5
 
1.2%
and 4
 
0.9%
for 4
 
0.9%
채널 3
 
0.7%
in 3
 
0.7%
함께 3
 
0.7%
다양한 3
 
0.7%
Other values (352) 384
89.9%
2023-12-10T22:54:00.013937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
 
18.4%
e 87
 
3.7%
a 68
 
2.9%
o 62
 
2.7%
n 61
 
2.6%
t 59
 
2.5%
i 57
 
2.4%
r 57
 
2.4%
s 52
 
2.2%
c 37
 
1.6%
Other values (331) 1367
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 902
38.6%
Lowercase Letter 803
34.3%
Space Separator 431
18.4%
Other Punctuation 104
 
4.4%
Uppercase Letter 47
 
2.0%
Decimal Number 17
 
0.7%
Other Symbol 11
 
0.5%
Close Punctuation 7
 
0.3%
Dash Punctuation 6
 
0.3%
Open Punctuation 4
 
0.2%
Other values (4) 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 29
 
3.2%
니 28
 
3.1%
이 27
 
3.0%
한 18
 
2.0%
의 17
 
1.9%
하 17
 
1.9%
는 15
 
1.7%
리 13
 
1.4%
로 12
 
1.3%
입 11
 
1.2%
Other values (260) 715
79.3%
Lowercase Letter
ValueCountFrequency (%)
e 87
 
10.8%
a 68
 
8.5%
o 62
 
7.7%
n 61
 
7.6%
t 59
 
7.3%
i 57
 
7.1%
r 57
 
7.1%
s 52
 
6.5%
c 37
 
4.6%
h 32
 
4.0%
Other values (16) 231
28.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
17.0%
C 6
12.8%
W 5
10.6%
K 4
8.5%
T 4
8.5%
M 3
 
6.4%
E 3
 
6.4%
V 3
 
6.4%
S 2
 
4.3%
D 2
 
4.3%
Other values (6) 7
14.9%
Other Punctuation
ValueCountFrequency (%)
. 32
30.8%
! 24
23.1%
; 16
15.4%
: 9
 
8.7%
' 8
 
7.7%
@ 7
 
6.7%
? 4
 
3.8%
· 2
 
1.9%
* 1
 
1.0%
& 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
0 5
29.4%
1 3
17.6%
9 3
17.6%
5 2
 
11.8%
2 2
 
11.8%
6 1
 
5.9%
3 1
 
5.9%
Other Symbol
ValueCountFrequency (%)
★ 7
63.6%
♥ 2
 
18.2%
▽ 1
 
9.1%
☞ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 902
38.6%
Latin 850
36.4%
Common 586
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 29
 
3.2%
니 28
 
3.1%
이 27
 
3.0%
한 18
 
2.0%
의 17
 
1.9%
하 17
 
1.9%
는 15
 
1.7%
리 13
 
1.4%
로 12
 
1.3%
입 11
 
1.2%
Other values (260) 715
79.3%
Latin
ValueCountFrequency (%)
e 87
 
10.2%
a 68
 
8.0%
o 62
 
7.3%
n 61
 
7.2%
t 59
 
6.9%
i 57
 
6.7%
r 57
 
6.7%
s 52
 
6.1%
c 37
 
4.4%
h 32
 
3.8%
Other values (32) 278
32.7%
Common
ValueCountFrequency (%)
431
73.5%
. 32
 
5.5%
! 24
 
4.1%
; 16
 
2.7%
: 9
 
1.5%
' 8
 
1.4%
) 7
 
1.2%
@ 7
 
1.2%
★ 7
 
1.2%
- 6
 
1.0%
Other values (19) 39
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1421
60.8%
Hangul 902
38.6%
Misc Symbols 10
 
0.4%
None 2
 
0.1%
Punctuation 2
 
0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
30.3%
e 87
 
6.1%
a 68
 
4.8%
o 62
 
4.4%
n 61
 
4.3%
t 59
 
4.2%
i 57
 
4.0%
r 57
 
4.0%
s 52
 
3.7%
c 37
 
2.6%
Other values (54) 450
31.7%
Hangul
ValueCountFrequency (%)
다 29
 
3.2%
니 28
 
3.1%
이 27
 
3.0%
한 18
 
2.0%
의 17
 
1.9%
하 17
 
1.9%
는 15
 
1.7%
리 13
 
1.4%
로 12
 
1.3%
입 11
 
1.2%
Other values (260) 715
79.3%
Misc Symbols
ValueCountFrequency (%)
★ 7
70.0%
♥ 2
 
20.0%
☞ 1
 
10.0%
None
ValueCountFrequency (%)
· 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
▽ 1
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

생성일
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
Minimum2010-11-27 00:00:00
Maximum2019-08-28 00:00:00
2023-12-10T22:54:00.250017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:54:00.504319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

키워드
Text

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-10T22:54:00.775224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.2307692
Min length1

Characters and Unicode

Total characters58
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)61.5%

Sample

1st row교육
2nd row여성
3rd row카페
4th row카페
5th row페스티벌
ValueCountFrequency (%)
카페 4
 
15.4%
여성 2
 
7.7%
행사 2
 
7.7%
먹방 2
 
7.7%
교육 1
 
3.8%
데이트 1
 
3.8%
캠핑 1
 
3.8%
명소 1
 
3.8%
청년 1
 
3.8%
앱 1
 
3.8%
Other values (10) 10
38.5%
2023-12-10T22:54:01.210769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
페 5
 
8.6%
카 4
 
6.9%
사 4
 
6.9%
방 3
 
5.2%
먹 2
 
3.4%
여 2
 
3.4%
성 2
 
3.4%
행 2
 
3.4%
년 1
 
1.7%
육 1
 
1.7%
Other values (32) 32
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
페 5
 
8.6%
카 4
 
6.9%
사 4
 
6.9%
방 3
 
5.2%
먹 2
 
3.4%
여 2
 
3.4%
성 2
 
3.4%
행 2
 
3.4%
년 1
 
1.7%
육 1
 
1.7%
Other values (32) 32
55.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
페 5
 
8.6%
카 4
 
6.9%
사 4
 
6.9%
방 3
 
5.2%
먹 2
 
3.4%
여 2
 
3.4%
성 2
 
3.4%
행 2
 
3.4%
년 1
 
1.7%
육 1
 
1.7%
Other values (32) 32
55.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
페 5
 
8.6%
카 4
 
6.9%
사 4
 
6.9%
방 3
 
5.2%
먹 2
 
3.4%
여 2
 
3.4%
성 2
 
3.4%
행 2
 
3.4%
년 1
 
1.7%
육 1
 
1.7%
Other values (32) 32
55.2%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.730769
Minimum1
Maximum511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:54:01.413502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q38
95-th percentile402.75
Maximum511
Range510
Interquartile range (IQR)6

Descriptive statistics

Standard deviation135.74345
Coefficient of variation (CV)2.7855799
Kurtosis9.05078
Mean48.730769
Median Absolute Deviation (MAD)2
Skewness3.1617639
Sum1267
Variance18426.285
MonotonicityNot monotonic
2023-12-10T22:54:01.589046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 6
23.1%
2 5
19.2%
3 3
11.5%
8 3
11.5%
5 3
11.5%
511 1
 
3.8%
147 1
 
3.8%
28 1
 
3.8%
14 1
 
3.8%
15 1
 
3.8%
ValueCountFrequency (%)
1 6
23.1%
2 5
19.2%
3 3
11.5%
5 3
11.5%
8 3
11.5%
14 1
 
3.8%
15 1
 
3.8%
28 1
 
3.8%
147 1
 
3.8%
488 1
 
3.8%
ValueCountFrequency (%)
511 1
 
3.8%
488 1
 
3.8%
147 1
 
3.8%
28 1
 
3.8%
15 1
 
3.8%
14 1
 
3.8%
8 3
11.5%
5 3
11.5%
3 3
11.5%
2 5
19.2%

키워드중요도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.127577
Minimum0.61
Maximum428.687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:54:01.779565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.61
5-th percentile0.853
Q11.64475
median3.306
Q38.96275
95-th percentile220.42525
Maximum428.687
Range428.077
Interquartile range (IQR)7.318

Descriptive statistics

Standard deviation96.40743
Coefficient of variation (CV)2.7444942
Kurtosis12.463082
Mean35.127577
Median Absolute Deviation (MAD)2.2635
Skewness3.5260122
Sum913.317
Variance9294.3927
MonotonicityNot monotonic
2023-12-10T22:54:01.973536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.61 1
 
3.8%
0.811 1
 
3.8%
1.096 1
 
3.8%
3.473 1
 
3.8%
267.516 1
 
3.8%
6.454 1
 
3.8%
12.584 1
 
3.8%
1.574 1
 
3.8%
5.623 1
 
3.8%
0.979 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
0.61 1
3.8%
0.811 1
3.8%
0.979 1
3.8%
1.096 1
3.8%
1.4 1
3.8%
1.574 1
3.8%
1.615 1
3.8%
1.734 1
3.8%
1.772 1
3.8%
2.424 1
3.8%
ValueCountFrequency (%)
428.687 1
3.8%
267.516 1
3.8%
79.153 1
3.8%
45.372 1
3.8%
18.078 1
3.8%
12.584 1
3.8%
9.799 1
3.8%
6.454 1
3.8%
5.915 1
3.8%
5.623 1
3.8%

Interactions

2023-12-10T22:53:55.380067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:54.463371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:55.640821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:53:54.709742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:54:02.167716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널ID채널명설명생성일키워드키워드빈도키워드중요도
채널ID1.0001.0001.0001.0001.0001.0001.000
채널명1.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0001.0001.0001.0001.000
키워드1.0001.0001.0001.0001.0000.0000.000
키워드빈도1.0001.0001.0001.0000.0001.0000.782
키워드중요도1.0001.0001.0001.0000.0000.7821.000
2023-12-10T22:54:02.337029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.893
키워드중요도0.8931.000

Missing values

2023-12-10T22:53:55.890541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:53:56.222880image/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.
2023-12-10T22:53:56.429919image/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

채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
0UC0bm8kKuMp8chJuxzlLnlnA주예지 JOOYEJI2021-01-01<NA><NA>교육10.61
1UCwC8xqx6nDDBRKV2sB-tNBAi강서TV_강서구청 방송국2021-01-01서울특별시 강서구청의 공감 소통 방송 i강서TV2012-08-21여성511428.687
2UCB-_erKKoU9nM5Z4tm4O4fw주시옹 자연을 담다2021-01-01자연의 아름다움을 노래와 함께 담았습니다. 멍 때리고 보기 좋은 채널입니다.2012-09-04카페31.615
3UCdlJ_IHHqtzV289zeQcqNaw냉철tv2021-01-01주식쟁이의 내맘대로 방송 hongills99@gmail.com2018-11-26카페14779.153
4UCThvzbgPVpp755QtLqnKLdg복고맨2021-01-01젊은놈이 알려주는 복고음악! 약 일주일 간격으로 한 아티스트 소개를 진행할 예정입니다.2013-08-23페스티벌33.139
5UCqgRbodod44OjLp9tqpgkPw라이너TV2021-01-01라이너의 근본 채널; 게임-만화 전문 라이너TV입니다. 비즈니스 문의 rainermr@naver.com rainerstudios@naver.com2013-07-11주식2845.372
6UCZeHMSqeusVpF1hBOtnxIoADKTV Daniel2021-01-01안녕하세요! 프로야구 해설위원 대니얼김입니다. 방송에서 하지 못한 이야기들... 그리고 재밌는 야구 이야기로 여러분과 함께 하겠습니다. 많이 부족하지만; 열심히 달려보겠습니다! 감사합니다!2013-03-26대회85.915
7UCb0bXw-hR78brxpagWBAS_QHelloRabbit헬로토끼2021-01-01우리 함께 만들어가는 헬로토끼 채널입니다♥2015-01-16사용법22.686
8UCL0DDCStyO4NeAFJoN_cO8Q멜로우 Mallow2021-01-01<NA>2015-06-24당일치기818.078
9UCdmPH-DTjL52x5K3lRvHYQw코아 TV2021-01-01안녕하세요 샌드박스 네트워크 크리에이터 소속 코아입니다! 알아서 잘 노는 코아입니다. 같이 노실?2016-10-26농사11.772
채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
16UCUtSiRivCFZwJVv9keLZfFQ단군TV2021-01-01축구 게임 일상 등 30대 아재의 모든 것!2011-11-04행사21.4
17UCbPBCZhgG_kX_1Wb0cdu5lw소방청2021-01-01안전한 나라 행복한 국민; 대한민국 119!2018-01-26구리시13.823
18UCxANYxgMTfJp3ZE8opnvJvQQ2HAN2021-01-01Twin sisters & DIY enthusiasts :) Based in South Korea Business Contact- q2hans@gmail.com2011-06-18앱10.979
19UCkLOF14rzE4O9K6WVP-cCJQ남북의 창2021-01-01KBS 남북의 창 공식 유튜브 채널<NA>청년55.623
20UCh48zl8cBQurCMMOGaeUEhQ씬스 SINCE2021-01-01여자일상 유튜버 씬스 입니다. '구독하기' 와 '알람'으로 씬스의 일상을 함께해주세요♥ Email: antpd@naver.com Insta : www.instagram.comshinji.hye2018-05-13명소11.574
21UCem8l1w4OWhkqpoOg1SB4_w재넌Jaenune2021-01-01걍 구독한번하고 영상 하나만보세요 오늘 제 영상 다봅니다 마약같은 재넌 유튜브 구독하면 개이득이??! 알리미 설정 꼭하삼 5분이하면 슬픈 재넌영상 10분이상은 컨텐츠 노잼영상2014-05-19여성1512.584
22UClvT0GWxHHznabonSbWf7cg국가보훈처2021-01-01국가보훈처 공식 유튜브 채널입니다. 국가보훈처는 대한민국을 위해 헌신하신 분들을 섬기는 정부부처로서; 국가를 위한 헌신을 잊지 않고 보답하는 나라를 만들기 위해 국민 여러분께 훈훈함을 전하는 국민화합의 장이 되도록 노력하겠습니다. 국가보훈처 유튜브 채널에서는 보훈정책; 독립·호국·민주의 다양한 역사 이야기를 만나볼 수 있습니다. :)2012-05-24캠핑56.454
23UC1YklYBrFcCLF8Pmz6llQTA브라더쿡 BrotherCook2021-01-01만원으로 맛있는 한끼식사 간단한 레시피 Thank you for visiting youtube brothercook :D2018-08-25먹방488267.516
24UCJVkX-srnsj-qyEIO0m7JCQYouTube후즈2021-01-01다양한 게임을 플레이하는 사람입니다! 편집본만 올라오니 풀버전과 생방송은 트위치를 이용해주세요. *매주 월요일; 목요일; 토요일에 영상이 올라옵니다! 생방송은 https:www.twitch.tvqueenhuz 이쪽!2013-02-21탐방33.473
25UCYfy1PpYpOr4YpwRj1nfoCQ양쑤의 클레이툰2021-01-01클레이로 애니메이션도 만들고 피규어도 만드는 양쑤입니다 0▽0) Clay Animation and Clay Figure (구) 양쑤의 클레이 킹덤 ☞ (현) 양쑤의 클레이툰 자세한 업로드 일정은 커뮤니티에! 비즈니스 문의 (for Biz) : ys_claykingdom@sandbox.co.kr 비즈니스 외 문의 (except Biz) : yangssooq@gmail.com2015-04-29먹방21.096