Overview

Dataset statistics

Number of variables8
Number of observations28
Missing cells8
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory70.7 B

Variable types

Text4
Categorical1
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/0c191934-0505-4f8e-9862-2e78b75450fa

Alerts

수집일 has constant value ""Constant
키워드빈도 is highly overall correlated with 키워드중요도High correlation
키워드중요도 is highly overall correlated with 키워드빈도High correlation
설명 has 5 (17.9%) missing valuesMissing
생성일 has 3 (10.7%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:50:35.637768
Analysis finished2023-12-10 13:50:37.914282
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:50:38.169890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters672
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowUCFaADzZrWpVm6u7LKob75Iw
2nd rowUCem8l1w4OWhkqpoOg1SB4_w
3rd rowUCVpIZO1dixqhecUsze51Zlg
4th rowUCBHPMXWzZa4RylJ7JbzGsvw
5th rowUCVNM-q28WEke8RO2HarFYTQ
ValueCountFrequency (%)
ucfaadzzrwpvm6u7lkob75iw 1
 
3.6%
ucem8l1w4owhkqpoog1sb4_w 1
 
3.6%
ucxgh59c0ilyfsjao59ur5yw 1
 
3.6%
ucbdkh3mg6x71y94a2wudetq 1
 
3.6%
ucdwlmpzefxn5odyco9warsw 1
 
3.6%
uc-l6ubdiu2z6eu3ahyv0r9a 1
 
3.6%
ucmznkl0q-nim9s6j41v-plq 1
 
3.6%
uco4ubaxepggcfyob3qftdhq 1
 
3.6%
ucjko7d8ixdmbdwmxednofrg 1
 
3.6%
uc0bm8kkump8chjuxzllnlna 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T22:50:38.808431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 37
 
5.5%
U 34
 
5.1%
w 19
 
2.8%
g 18
 
2.7%
8 16
 
2.4%
A 14
 
2.1%
6 14
 
2.1%
D 14
 
2.1%
P 14
 
2.1%
1 14
 
2.1%
Other values (54) 478
71.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 296
44.0%
Lowercase Letter 246
36.6%
Decimal Number 117
 
17.4%
Dash Punctuation 9
 
1.3%
Connector Punctuation 4
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 37
 
12.5%
U 34
 
11.5%
A 14
 
4.7%
D 14
 
4.7%
P 14
 
4.7%
O 13
 
4.4%
X 13
 
4.4%
M 11
 
3.7%
Q 11
 
3.7%
H 10
 
3.4%
Other values (16) 125
42.2%
Lowercase Letter
ValueCountFrequency (%)
w 19
 
7.7%
g 18
 
7.3%
l 13
 
5.3%
p 13
 
5.3%
m 11
 
4.5%
s 11
 
4.5%
b 11
 
4.5%
a 11
 
4.5%
e 10
 
4.1%
u 9
 
3.7%
Other values (16) 120
48.8%
Decimal Number
ValueCountFrequency (%)
8 16
13.7%
6 14
12.0%
1 14
12.0%
5 12
10.3%
7 12
10.3%
2 11
9.4%
3 11
9.4%
4 9
7.7%
9 9
7.7%
0 9
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 542
80.7%
Common 130
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 37
 
6.8%
U 34
 
6.3%
w 19
 
3.5%
g 18
 
3.3%
A 14
 
2.6%
D 14
 
2.6%
P 14
 
2.6%
O 13
 
2.4%
l 13
 
2.4%
X 13
 
2.4%
Other values (42) 353
65.1%
Common
ValueCountFrequency (%)
8 16
12.3%
6 14
10.8%
1 14
10.8%
5 12
9.2%
7 12
9.2%
2 11
8.5%
3 11
8.5%
4 9
6.9%
9 9
6.9%
0 9
6.9%
Other values (2) 13
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 37
 
5.5%
U 34
 
5.1%
w 19
 
2.8%
g 18
 
2.7%
8 16
 
2.4%
A 14
 
2.1%
6 14
 
2.1%
D 14
 
2.1%
P 14
 
2.1%
1 14
 
2.1%
Other values (54) 478
71.1%

채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:50:39.229306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.1428571
Min length3

Characters and Unicode

Total characters256
Distinct characters128
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

Unique28 ?
Unique (%)100.0%

Sample

1st row이환 LeeHwan
2nd row재넌Jaenune
3rd row사천TV
4th row까꿍이와개세mr리들
5th rowEgee Park
ValueCountFrequency (%)
이환 1
 
2.3%
햄연지 1
 
2.3%
dong-kyun 1
 
2.3%
달콤대도 1
 
2.3%
한국과학기술정보연구원 1
 
2.3%
대구경북첨단의료산업진흥재단 1
 
2.3%
김낙타 1
 
2.3%
해피gtv-구리시 1
 
2.3%
주예지 1
 
2.3%
jooyeji 1
 
2.3%
Other values (33) 33
76.7%
2023-12-10T22:50:40.011096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.9%
n 10
 
3.9%
e 9
 
3.5%
o 8
 
3.1%
r 7
 
2.7%
a 7
 
2.7%
i 6
 
2.3%
T 4
 
1.6%
g 4
 
1.6%
u 4
 
1.6%
Other values (118) 182
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
49.6%
Lowercase Letter 71
27.7%
Uppercase Letter 39
 
15.2%
Space Separator 15
 
5.9%
Dash Punctuation 2
 
0.8%
Decimal Number 1
 
0.4%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
 
3.1%
구 4
 
3.1%
연 4
 
3.1%
부 3
 
2.4%
이 3
 
2.4%
수 3
 
2.4%
라 3
 
2.4%
시 3
 
2.4%
리 3
 
2.4%
주 3
 
2.4%
Other values (77) 94
74.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
 
10.3%
J 4
 
10.3%
M 3
 
7.7%
O 3
 
7.7%
Y 3
 
7.7%
A 2
 
5.1%
G 2
 
5.1%
K 2
 
5.1%
D 2
 
5.1%
I 2
 
5.1%
Other values (9) 12
30.8%
Lowercase Letter
ValueCountFrequency (%)
n 10
14.1%
e 9
12.7%
o 8
11.3%
r 7
9.9%
a 7
9.9%
i 6
8.5%
g 4
 
5.6%
u 4
 
5.6%
k 3
 
4.2%
m 3
 
4.2%
Other values (8) 10
14.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
49.6%
Latin 110
43.0%
Common 19
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
 
3.1%
구 4
 
3.1%
연 4
 
3.1%
부 3
 
2.4%
이 3
 
2.4%
수 3
 
2.4%
라 3
 
2.4%
시 3
 
2.4%
리 3
 
2.4%
주 3
 
2.4%
Other values (77) 94
74.0%
Latin
ValueCountFrequency (%)
n 10
 
9.1%
e 9
 
8.2%
o 8
 
7.3%
r 7
 
6.4%
a 7
 
6.4%
i 6
 
5.5%
T 4
 
3.6%
g 4
 
3.6%
u 4
 
3.6%
J 4
 
3.6%
Other values (27) 47
42.7%
Common
ValueCountFrequency (%)
15
78.9%
- 2
 
10.5%
5 1
 
5.3%
_ 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
50.4%
Hangul 127
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
 
11.6%
n 10
 
7.8%
e 9
 
7.0%
o 8
 
6.2%
r 7
 
5.4%
a 7
 
5.4%
i 6
 
4.7%
T 4
 
3.1%
g 4
 
3.1%
u 4
 
3.1%
Other values (31) 55
42.6%
Hangul
ValueCountFrequency (%)
지 4
 
3.1%
구 4
 
3.1%
연 4
 
3.1%
부 3
 
2.4%
이 3
 
2.4%
수 3
 
2.4%
라 3
 
2.4%
시 3
 
2.4%
리 3
 
2.4%
주 3
 
2.4%
Other values (77) 94
74.0%

수집일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2020-12-10
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-10
2nd row2020-12-10
3rd row2020-12-10
4th row2020-12-10
5th row2020-12-10

Common Values

ValueCountFrequency (%)
2020-12-10 28
100.0%

Length

2023-12-10T22:50:40.253053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:40.386528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-10 28
100.0%

설명
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing5
Missing (%)17.9%
Memory size356.0 B
2023-12-10T22:50:40.930505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length348
Median length69
Mean length112.86957
Min length15

Characters and Unicode

Total characters2596
Distinct characters420
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

Unique23 ?
Unique (%)100.0%

Sample

1st row장난꾸러기 이환 입니다ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ
2nd row걍 구독한번하고 영상 하나만보세요 오늘 제 영상 다봅니다 마약같은 재넌 유튜브 구독하면 개이득이??! 알리미 설정 꼭하삼 5분이하면 슬픈 재넌영상 10분이상은 컨텐츠 노잼영상
3rd row하늘로 바다로 사천으로! 경상남도 사천시청 공식 유튜브입니다! I love you; 4000 여러분 사천만큼 사랑해요 ♥
4th row반려동물과 함께하는 까꿍이의 일상을 여러분들께 공개합니다!! 까꿍의 공식 반려동물 YOUTUBE 채널 입니다. 타투; 꿍찌;백설!! 반려동물과 언제나 함께하는 까꿍이가 되겠습니다. 까둥이들 사랑합니다 구둑자210;0000명 정말 정말 감사합니다!!! +==================+ ★ 까꿍 새로운이야기 https:www.youtube.comchannelUCL5_pSpcBcT4qySMtB97eMQ 구독하기 https:www.youtube.comchannelUCBHPMXWzZa4RylJ7JbzGsvw?sub_confirmation=1 +==================+
5th rowKorea TV HOST.MC.Actress. Beauty Creator PARK EUN JI
ValueCountFrequency (%)
9
 
2.0%
공식 6
 
1.3%
유튜브 4
 
0.9%
채널 4
 
0.9%
채널입니다 3
 
0.7%
함께하는 3
 
0.7%
문의 3
 
0.7%
하고 3
 
0.7%
kms 3
 
0.7%
감사합니다 3
 
0.7%
Other values (393) 414
91.0%
2023-12-10T22:50:41.880841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
18.3%
. 45
 
1.7%
다 39
 
1.5%
o 37
 
1.4%
이 37
 
1.4%
= 37
 
1.4%
t 34
 
1.3%
니 34
 
1.3%
하 31
 
1.2%
; 28
 
1.1%
Other values (410) 1799
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1352
52.1%
Space Separator 475
 
18.3%
Lowercase Letter 377
 
14.5%
Other Punctuation 139
 
5.4%
Uppercase Letter 100
 
3.9%
Decimal Number 58
 
2.2%
Math Symbol 49
 
1.9%
Close Punctuation 11
 
0.4%
Open Punctuation 9
 
0.3%
Other Symbol 9
 
0.3%
Other values (3) 17
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 39
 
2.9%
이 37
 
2.7%
니 34
 
2.5%
하 31
 
2.3%
리 22
 
1.6%
한 22
 
1.6%
아 21
 
1.6%
의 21
 
1.6%
는 21
 
1.6%
로 16
 
1.2%
Other values (326) 1088
80.5%
Lowercase Letter
ValueCountFrequency (%)
o 37
 
9.8%
t 34
 
9.0%
a 28
 
7.4%
s 26
 
6.9%
w 24
 
6.4%
e 21
 
5.6%
c 21
 
5.6%
n 21
 
5.6%
r 18
 
4.8%
h 17
 
4.5%
Other values (16) 130
34.5%
Uppercase Letter
ValueCountFrequency (%)
T 10
 
10.0%
M 10
 
10.0%
S 8
 
8.0%
B 7
 
7.0%
I 6
 
6.0%
K 6
 
6.0%
J 6
 
6.0%
C 5
 
5.0%
U 5
 
5.0%
Y 4
 
4.0%
Other values (16) 33
33.0%
Other Punctuation
ValueCountFrequency (%)
. 45
32.4%
; 28
20.1%
! 25
18.0%
: 22
15.8%
' 7
 
5.0%
@ 5
 
3.6%
? 5
 
3.6%
* 1
 
0.7%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 15
25.9%
5 9
15.5%
1 9
15.5%
3 6
 
10.3%
2 6
 
10.3%
4 4
 
6.9%
7 4
 
6.9%
9 3
 
5.2%
6 2
 
3.4%
Math Symbol
ValueCountFrequency (%)
= 37
75.5%
~ 8
 
16.3%
+ 4
 
8.2%
Other Symbol
ValueCountFrequency (%)
▶ 6
66.7%
★ 2
 
22.2%
♥ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 9
81.8%
] 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 7
77.8%
[ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
475
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1352
52.1%
Common 767
29.5%
Latin 477
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 39
 
2.9%
이 37
 
2.7%
니 34
 
2.5%
하 31
 
2.3%
리 22
 
1.6%
한 22
 
1.6%
아 21
 
1.6%
의 21
 
1.6%
는 21
 
1.6%
로 16
 
1.2%
Other values (326) 1088
80.5%
Latin
ValueCountFrequency (%)
o 37
 
7.8%
t 34
 
7.1%
a 28
 
5.9%
s 26
 
5.5%
w 24
 
5.0%
e 21
 
4.4%
c 21
 
4.4%
n 21
 
4.4%
r 18
 
3.8%
h 17
 
3.6%
Other values (42) 230
48.2%
Common
ValueCountFrequency (%)
475
61.9%
. 45
 
5.9%
= 37
 
4.8%
; 28
 
3.7%
! 25
 
3.3%
: 22
 
2.9%
0 15
 
2.0%
5 9
 
1.2%
1 9
 
1.2%
) 9
 
1.2%
Other values (22) 93
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1342
51.7%
ASCII 1235
47.6%
Compat Jamo 10
 
0.4%
Geometric Shapes 6
 
0.2%
Misc Symbols 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
475
38.5%
. 45
 
3.6%
o 37
 
3.0%
= 37
 
3.0%
t 34
 
2.8%
; 28
 
2.3%
a 28
 
2.3%
s 26
 
2.1%
! 25
 
2.0%
w 24
 
1.9%
Other values (71) 476
38.5%
Hangul
ValueCountFrequency (%)
다 39
 
2.9%
이 37
 
2.8%
니 34
 
2.5%
하 31
 
2.3%
리 22
 
1.6%
한 22
 
1.6%
아 21
 
1.6%
의 21
 
1.6%
는 21
 
1.6%
로 16
 
1.2%
Other values (325) 1078
80.3%
Compat Jamo
ValueCountFrequency (%)
ㅋ 10
100.0%
Geometric Shapes
ValueCountFrequency (%)
▶ 6
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
66.7%
♥ 1
33.3%

생성일
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing3
Missing (%)10.7%
Memory size356.0 B
Minimum2009-06-13 00:00:00
Maximum2019-10-07 00:00:00
2023-12-10T22:50:42.088862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:42.284632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

키워드
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:50:42.568974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.25
Min length1

Characters and Unicode

Total characters63
Distinct characters43
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

Unique18 ?
Unique (%)64.3%

Sample

1st row인구
2nd row행사
3rd row부동산
4th row맛집
5th row축제
ValueCountFrequency (%)
여행 3
 
10.7%
교육 3
 
10.7%
부동산 2
 
7.1%
축제 2
 
7.1%
창업 1
 
3.6%
인구 1
 
3.6%
취업 1
 
3.6%
앱 1
 
3.6%
카페 1
 
3.6%
등산 1
 
3.6%
Other values (12) 12
42.9%
2023-12-10T22:50:43.173965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
행 4
 
6.3%
여 3
 
4.8%
교 3
 
4.8%
육 3
 
4.8%
산 3
 
4.8%
업 3
 
4.8%
기 2
 
3.2%
방 2
 
3.2%
사 2
 
3.2%
제 2
 
3.2%
Other values (33) 36
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 4
 
6.3%
여 3
 
4.8%
교 3
 
4.8%
육 3
 
4.8%
산 3
 
4.8%
업 3
 
4.8%
기 2
 
3.2%
방 2
 
3.2%
사 2
 
3.2%
제 2
 
3.2%
Other values (33) 36
57.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 4
 
6.3%
여 3
 
4.8%
교 3
 
4.8%
육 3
 
4.8%
산 3
 
4.8%
업 3
 
4.8%
기 2
 
3.2%
방 2
 
3.2%
사 2
 
3.2%
제 2
 
3.2%
Other values (33) 36
57.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
행 4
 
6.3%
여 3
 
4.8%
교 3
 
4.8%
육 3
 
4.8%
산 3
 
4.8%
업 3
 
4.8%
기 2
 
3.2%
방 2
 
3.2%
사 2
 
3.2%
제 2
 
3.2%
Other values (33) 36
57.1%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.642857
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T22:50:43.567477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.25
95-th percentile61.8
Maximum102
Range101
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation23.551699
Coefficient of variation (CV)2.2129113
Kurtosis9.0742406
Mean10.642857
Median Absolute Deviation (MAD)1
Skewness3.049936
Sum298
Variance554.68254
MonotonicityNot monotonic
2023-12-10T22:50:43.795889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 11
39.3%
2 4
 
14.3%
3 3
 
10.7%
6 2
 
7.1%
4 2
 
7.1%
54 1
 
3.6%
15 1
 
3.6%
5 1
 
3.6%
8 1
 
3.6%
102 1
 
3.6%
ValueCountFrequency (%)
1 11
39.3%
2 4
 
14.3%
3 3
 
10.7%
4 2
 
7.1%
5 1
 
3.6%
6 2
 
7.1%
8 1
 
3.6%
15 1
 
3.6%
54 1
 
3.6%
66 1
 
3.6%
ValueCountFrequency (%)
102 1
 
3.6%
66 1
 
3.6%
54 1
 
3.6%
15 1
 
3.6%
8 1
 
3.6%
6 2
7.1%
5 1
 
3.6%
4 2
7.1%
3 3
10.7%
2 4
14.3%

키워드중요도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6843929
Minimum0.622
Maximum102.386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T22:50:43.983700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.622
5-th percentile0.6556
Q11.28425
median2.227
Q34.81375
95-th percentile37.1242
Maximum102.386
Range101.764
Interquartile range (IQR)3.5295

Descriptive statistics

Standard deviation20.432246
Coefficient of variation (CV)2.3527547
Kurtosis17.550436
Mean8.6843929
Median Absolute Deviation (MAD)1.3025
Skewness4.0409391
Sum243.163
Variance417.47669
MonotonicityNot monotonic
2023-12-10T22:50:44.177937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.622 2
 
7.1%
1.717 1
 
3.6%
10.541 1
 
3.6%
2.698 1
 
3.6%
23.963 1
 
3.6%
1.452 1
 
3.6%
102.386 1
 
3.6%
1.243 1
 
3.6%
2.183 1
 
3.6%
4.603 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0.622 2
7.1%
0.718 1
3.6%
0.819 1
3.6%
1.03 1
3.6%
1.167 1
3.6%
1.243 1
3.6%
1.298 1
3.6%
1.452 1
3.6%
1.459 1
3.6%
1.717 1
3.6%
ValueCountFrequency (%)
102.386 1
3.6%
44.211 1
3.6%
23.963 1
3.6%
10.541 1
3.6%
9.52 1
3.6%
5.674 1
3.6%
5.446 1
3.6%
4.603 1
3.6%
4.078 1
3.6%
3.772 1
3.6%

Interactions

2023-12-10T22:50:37.063565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:36.731474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:37.223218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:36.865445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:50:44.327986image/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
키워드빈도1.0001.0001.0001.0000.0001.0001.000
키워드중요도1.0001.0001.0001.0000.0001.0001.000
2023-12-10T22:50:44.497684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.848
키워드중요도0.8481.000

Missing values

2023-12-10T22:50:37.428497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:50:37.660168image/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.
2023-12-10T22:50:37.824570image/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
0UCFaADzZrWpVm6u7LKob75Iw이환 LeeHwan2020-12-10장난꾸러기 이환 입니다ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ2017-12-26인구11.717
1UCem8l1w4OWhkqpoOg1SB4_w재넌Jaenune2020-12-10걍 구독한번하고 영상 하나만보세요 오늘 제 영상 다봅니다 마약같은 재넌 유튜브 구독하면 개이득이??! 알리미 설정 꼭하삼 5분이하면 슬픈 재넌영상 10분이상은 컨텐츠 노잼영상2014-05-19행사10.718
2UCVpIZO1dixqhecUsze51Zlg사천TV2020-12-10하늘로 바다로 사천으로! 경상남도 사천시청 공식 유튜브입니다! I love you; 4000 여러분 사천만큼 사랑해요 ♥2015-04-14부동산11.886
3UCBHPMXWzZa4RylJ7JbzGsvw까꿍이와개세mr리들2020-12-10반려동물과 함께하는 까꿍이의 일상을 여러분들께 공개합니다!! 까꿍의 공식 반려동물 YOUTUBE 채널 입니다. 타투; 꿍찌;백설!! 반려동물과 언제나 함께하는 까꿍이가 되겠습니다. 까둥이들 사랑합니다 구둑자210;0000명 정말 정말 감사합니다!!! +==================+ ★ 까꿍 새로운이야기 https:www.youtube.comchannelUCL5_pSpcBcT4qySMtB97eMQ 구독하기 https:www.youtube.comchannelUCBHPMXWzZa4RylJ7JbzGsvw?sub_confirmation=1 +==================+2014-12-29맛집21.459
4UCVNM-q28WEke8RO2HarFYTQEgee Park2020-12-10Korea TV HOST.MC.Actress. Beauty Creator PARK EUN JI2014-09-24축제10.819
5UCq4jckvIGYbC9fD73KPp6tw서울특별시교육청2020-12-10서울특별시교육청 서울교육 유튜브 채널입니다.2011-08-02축제5444.211
6UC03jtg6Imz882ZCPnB7bZ0w5 분 Tricks2020-12-10재미있는 DIY 프로젝트; 공예품; 직접 체험하는 기쁨을 경험하십시오! 반가와서 또 많이 오세요~~~ 브랜드 제휴 문의: brands@thesoul-publishing.com2018-07-12부동산23.772
7UCeXxAet11DPbC8pG-lBOUTQ아리둥절 Ari the Corgi2020-12-10안녕하세요! 아리와 아리집사 (망)나니입니다 :) 똑똑이 아리와의 일상을 함께해주셔서 감사합니다 ▶웰시코기 아리 프로필 성별: 공주님 나이: 2016년생 취미: -어려운 문제 해결 -24시간 집사 감시 특징: -천재견이라 불림 (동물농장 천재코기 걔 맞음) -몸과 마음이 건강한 강아지 (전설의 분리행복견) 별명: '아리'스토텔레스; 콩자반 등 장래희망: 남의 집 개 (사람 조하) ▶아리스타그램 ari_the_corgi ▶비즈니스 문의 ari_corgi@sandbox.co.kr2018-07-30펜션12.048
8UCXXlcPH1stsP3VwYG90s4wg밀라논나 Milanonna2020-12-10패션과 제 라이프 스타일에 대해 이야기합니다~ 함께해요 아미치들~ Instagram @mila_no_nna2019-10-07여행155.446
9UCj38fEefpih2o1aHH886Z1g_헤징2020-12-10탑레마스터 미드라이너입니당! 힐링보이스! 그림그리는 걸 좋아해요 '~'2014-01-30교육10.622
채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
18UCvnRrQa5gYVDHgXvY4ERc5A해피GTV-구리시2020-12-10대한민국 경기도 구리시의 공식 유튜브 채널입니다.2019-01-28캠핑11.298
19UC0bm8kKuMp8chJuxzlLnlnA주예지 JOOYEJI2020-12-10<NA><NA>교육10.622
20UCJko7d8IXDmbDwmXEDNofRg햄연지 YONJIHAM2020-12-10배우 함연지의 일상을 담았습니다~! 저와 같이 장도 보고; 요리하고; 다이어트도 하고; 노래도 하고 함께 놀아요! 좋아요와 구독은 햄연지에게 큰 힘이 돼요! 오늘도 함께 해주셔서 감사합니다 [함연지 공식 유튜브 채널] 제작 (주)샌드박스네트워크 업로드 매주 금요일 오후 5시 비즈니스 문의 yonjiham@sandbox.co.kr2019-06-11당일치기12.271
21UCO4UBaxePgGCFYOb3QFtDHQ웅라미Woongrami2020-12-10<NA>2012-09-19등산34.603
22UCmZNkL0Q-NIM9s6J41V-PlQn포세대 백지수표 BaekG2020-12-10N포세대 란? (3포 5포 7포: 연애; 결혼; 출산; 집; 취업; 인간관계; 희망) 이것보다 더 많은 것들을 포기 하고 살아가는 세대 [n포세대 백지수표] : 회사와 집 모두 정리하고 백수생활이 시작된다. 퇴직금도 바닥나고 특정한 거처 없이 떠돌아다니며; 그때그때 상황에 맞게 벌어먹으며 살아간다. 자유로워 보이지만 결코 자유롭지 못한 삼십대 프리터의 삶을 엿본다. 비지니스 : okwowgood@gmail.com 인스타 DM : https:www.instagram.combjsupyo 백수탈출후원 : 하나은행 591-910365-21507 이*주 투네이션후원 : https:toon.atdonateblankcheck2018-01-04카페42.183
23UC-l6uBDiU2z6eU3AHyV0r9A심심타임2020-12-10햄스터 키우는 채널 심심이 타임이 햄찌 유튜버 심심해 심심할때 심심타임 나른한 오후~ 그냥 심심한 그런 날; 서로서로 모이면 재미있는 하루가 될 것 같아요!! 궁금한거; 신기한거; 재밌는거; 흥미진진한 것들로 신나는 하루를 만들어 보아요!!2017-02-19교육21.243
24UCdwLMpZeFXN5ODyCO9warSw애봉이2020-12-10<NA>2014-10-28앱102102.386
25UCBdKH3MG6X71y94A2WUdETQ부산광역시연제구청2020-12-10품격있는 도시; 상생하는 연제. 부산 연제구의 공식 유튜브입니다.2019-06-13여행41.452
26UCXGh59C0ilyfsJaO59uR5YwM라운지2020-12-10MBC 공식 지식공유 채널! 편안한 수다를 원하시는 분; M라운지로 초대합니다!<NA>여행6623.963
27UC1_kh07Dy-nNpPqMi1x3Xlw한국해양수산연수원2020-12-10<NA><NA>사용법22.698