Overview

Dataset statistics

Number of variables8
Number of observations28
Missing cells19
Missing cells (%)8.5%
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/59c89edd-fa69-41dd-8f1d-3ab4a5c73b61

Alerts

수집일 has constant value ""Constant
키워드빈도 is highly overall correlated with 키워드중요도High correlation
키워드중요도 is highly overall correlated with 키워드빈도High correlation
설명 has 7 (25.0%) missing valuesMissing
생성일 has 12 (42.9%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:12:02.481976
Analysis finished2023-12-10 14:12:05.045285
Duration2.56 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
2023-12-10T23:12:05.480229image/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 rowUCw-PP0JLJMVlVJtZnbqhQww
2nd rowUC73j3rtkjb3qCvC7XZidzmw
3rd rowUCW3Zwj1ntR4I8OxEJvTM5XA
4th rowUC04-c3rVAy-vK4PX0R_ARpg
5th rowUCkrboHEREUVOaFNbuQ2taZg
ValueCountFrequency (%)
ucw-pp0jljmvlvjtznbqhqww 1
 
3.6%
uc73j3rtkjb3qcvc7xzidzmw 1
 
3.6%
uc_nwnmfuizqjz0-svaqaqpg 1
 
3.6%
uccm7jc50537emixvkvnu8-q 1
 
3.6%
ucb-_erkkou9nm5z4tm4o4fw 1
 
3.6%
ucejjv_bsvqwfjd_lnazzn1g 1
 
3.6%
ucv5a6csfhfgratihfeeidow 1
 
3.6%
ucmwzdwenwoko2quoc5xi6bw 1
 
3.6%
uc3pma-zm0vjluxcaykwcidw 1
 
3.6%
uca9lr7w1otxtvit4oflnu8a 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:12:06.123592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 40
 
6.0%
U 37
 
5.5%
w 19
 
2.8%
A 17
 
2.5%
3 16
 
2.4%
0 16
 
2.4%
k 15
 
2.2%
z 14
 
2.1%
g 14
 
2.1%
M 13
 
1.9%
Other values (54) 471
70.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 281
41.8%
Lowercase Letter 264
39.3%
Decimal Number 103
 
15.3%
Dash Punctuation 13
 
1.9%
Connector Punctuation 11
 
1.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 40
 
14.2%
U 37
 
13.2%
A 17
 
6.0%
M 13
 
4.6%
J 13
 
4.6%
Z 11
 
3.9%
N 11
 
3.9%
P 11
 
3.9%
E 10
 
3.6%
L 9
 
3.2%
Other values (16) 109
38.8%
Lowercase Letter
ValueCountFrequency (%)
w 19
 
7.2%
k 15
 
5.7%
z 14
 
5.3%
g 14
 
5.3%
j 12
 
4.5%
o 12
 
4.5%
a 12
 
4.5%
b 12
 
4.5%
n 11
 
4.2%
t 11
 
4.2%
Other values (16) 132
50.0%
Decimal Number
ValueCountFrequency (%)
3 16
15.5%
0 16
15.5%
7 13
12.6%
5 11
10.7%
1 10
9.7%
8 10
9.7%
4 10
9.7%
2 7
6.8%
6 5
 
4.9%
9 5
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 545
81.1%
Common 127
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 40
 
7.3%
U 37
 
6.8%
w 19
 
3.5%
A 17
 
3.1%
k 15
 
2.8%
z 14
 
2.6%
g 14
 
2.6%
M 13
 
2.4%
J 13
 
2.4%
j 12
 
2.2%
Other values (42) 351
64.4%
Common
ValueCountFrequency (%)
3 16
12.6%
0 16
12.6%
- 13
10.2%
7 13
10.2%
5 11
8.7%
_ 11
8.7%
1 10
7.9%
8 10
7.9%
4 10
7.9%
2 7
5.5%
Other values (2) 10
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 40
 
6.0%
U 37
 
5.5%
w 19
 
2.8%
A 17
 
2.5%
3 16
 
2.4%
0 16
 
2.4%
k 15
 
2.2%
z 14
 
2.1%
g 14
 
2.1%
M 13
 
1.9%
Other values (54) 471
70.1%

채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:12:06.521744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length12.5
Mean length10.5
Min length2

Characters and Unicode

Total characters294
Distinct characters126
Distinct categories8 ?
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 row성북문화재단
2nd row미라지
3rd row스윗더미 . Sweet The MI
4th row소다지니 SoDaGenie
5th row프리티에스더 PrettyEsther
ValueCountFrequency (%)
성북문화재단 1
 
1.9%
새벽을 1
 
1.9%
동구donggu 1
 
1.9%
heyjoo 1
 
1.9%
5 1
 
1.9%
분 1
 
1.9%
tricks 1
 
1.9%
형독방송 1
 
1.9%
jtbc 1
 
1.9%
brand 1
 
1.9%
Other values (44) 44
81.5%
2023-12-10T23:12:07.516701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.8%
e 12
 
4.1%
t 8
 
2.7%
o 8
 
2.7%
T 8
 
2.7%
i 7
 
2.4%
n 7
 
2.4%
I 6
 
2.0%
s 5
 
1.7%
기 5
 
1.7%
Other values (116) 202
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
42.2%
Lowercase Letter 84
28.6%
Uppercase Letter 56
19.0%
Space Separator 26
 
8.8%
Decimal Number 1
 
0.3%
Open Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5
 
4.0%
구 4
 
3.2%
지 4
 
3.2%
연 3
 
2.4%
을 3
 
2.4%
시 3
 
2.4%
원 3
 
2.4%
리 3
 
2.4%
다 3
 
2.4%
단 3
 
2.4%
Other values (73) 90
72.6%
Lowercase Letter
ValueCountFrequency (%)
e 12
14.3%
t 8
 
9.5%
o 8
 
9.5%
i 7
 
8.3%
n 7
 
8.3%
s 5
 
6.0%
y 4
 
4.8%
a 4
 
4.8%
h 4
 
4.8%
c 4
 
4.8%
Other values (9) 21
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.3%
I 6
10.7%
D 4
 
7.1%
E 4
 
7.1%
S 4
 
7.1%
J 4
 
7.1%
O 4
 
7.1%
R 3
 
5.4%
V 3
 
5.4%
B 3
 
5.4%
Other values (9) 13
23.2%
Space Separator
ValueCountFrequency (%)
26
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 140
47.6%
Hangul 124
42.2%
Common 30
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5
 
4.0%
구 4
 
3.2%
지 4
 
3.2%
연 3
 
2.4%
을 3
 
2.4%
시 3
 
2.4%
원 3
 
2.4%
리 3
 
2.4%
다 3
 
2.4%
단 3
 
2.4%
Other values (73) 90
72.6%
Latin
ValueCountFrequency (%)
e 12
 
8.6%
t 8
 
5.7%
o 8
 
5.7%
T 8
 
5.7%
i 7
 
5.0%
n 7
 
5.0%
I 6
 
4.3%
s 5
 
3.6%
y 4
 
2.9%
a 4
 
2.9%
Other values (28) 71
50.7%
Common
ValueCountFrequency (%)
26
86.7%
5 1
 
3.3%
( 1
 
3.3%
. 1
 
3.3%
) 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
57.8%
Hangul 124
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
 
15.3%
e 12
 
7.1%
t 8
 
4.7%
o 8
 
4.7%
T 8
 
4.7%
i 7
 
4.1%
n 7
 
4.1%
I 6
 
3.5%
s 5
 
2.9%
y 4
 
2.4%
Other values (33) 79
46.5%
Hangul
ValueCountFrequency (%)
기 5
 
4.0%
구 4
 
3.2%
지 4
 
3.2%
연 3
 
2.4%
을 3
 
2.4%
시 3
 
2.4%
원 3
 
2.4%
리 3
 
2.4%
다 3
 
2.4%
단 3
 
2.4%
Other values (73) 90
72.6%

수집일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-09-01
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01
2nd row2021-09-01
3rd row2021-09-01
4th row2021-09-01
5th row2021-09-01

Common Values

ValueCountFrequency (%)
2021-09-01 28
100.0%

Length

2023-12-10T23:12:07.731217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:12:07.881540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 28
100.0%

설명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing7
Missing (%)25.0%
Memory size356.0 B
2023-12-10T23:12:08.265440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length978
Median length106
Mean length175.42857
Min length1

Characters and Unicode

Total characters3684
Distinct characters372
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowMirage (미라지) Twitch Streamer (Overwatch) ㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡ ◐ 미라지 트위치 - https:www.twitch.tvmirage720 ◐ 미라지 게시판 - http:tgd.krmirage720 (팬아트환영) ◐ 미라지 페이스북 - https:www.facebook.comummiZzang ◐ 미라지 인스타그램 - https:www.instagram.combaejungmin720
2nd row♥
3rd rowMom&Kids Grow Together! 소을 다을 남매와 소다맘 이윤진의 일상을 담아가는 채널
4th row[프리티에스더]는 키즈크리에이터 '프리티에스더'의 신나고 재밌고 행복한 놀이를 함께 공유하는 채널입니다. [놀이]라는 주제로 '구독자 및 시청자' 여러분들을 주 3회~ 4회 찾아뵙겠습니다. [프리티에스더]와 함께 행복한 시간 되세요^^ (파파와놀이; 장난감놀이; 악기놀이; 요리놀이; 야외놀이; 실내놀이; 미술놀이; 공부놀이; 체험놀이; 역할놀이; 상상놀이; 창의놀이 등) ◎ 채널시작 : 2016.11.03 ◎ 업로드 예정시간 : 주 4회 [프리티에스더] 구독하기▶https:goo.glNbc78O ♡ [프리티에스더] 응원해 주세요 ◎ '구독 & 좋아요 & 예쁜댓글 & 공유'는 프리티에스더에게 큰 힘이 됩니다 ◎ '구독자 & 시청자' 여러분들의 따뜻한 사랑에 진심으로 감사드립니다. ◎ 앞으로도 재밌고 따뜻한 영상으로 여러분들에게 찾아올께요. [프리티에스더] 많이 사랑해 주세요 ◎ 구독하기 주소 ▶https:goo.glNbc78O ♡ [프리티에스더] 비즈니스연락하기 : pretty.esther.son@gmail.com [Pretty Esther] INFORMATION The Channel is the Kids Creator 'Pretty Esther' It is a channel to share exciting; funny and happy plays together. Play with papa; toy play; musical instrument play; cooking play; outdoor play; indoor play; art play; study play; experience play; role play; Imaginative play; role play; game play etc. [play] with the theme 'subscribers and viewers' every day I'll see you. [Pretty Esther] Have a g
5th row매주 화.토 로기가 꿀잼 영상으로 여러분을 찾아갑니다! ----------------------------------------------------------- = 채널시작: 2017113 ----------------------------------------------------------- = 업로드: 매주 화요일 오후 5시; 토요일 오전 10시 ----------------------------------------------------------- = 비지니스문의: roki301139@naver.com ----------------------------------------------------------- = 로기Roki 채널구독 - https:www.youtube.comchannelUCE=LCFg_JcEc3PyDd46HUMKg = 로기의 인스타그램 - https:www.instagram.comroki1357 = 로기의 트위치 생방송 - https:www.twitch.tvroki1357 (.해당 영상의 저작권은 로기Roki에게 있습니다. 이 영상을 공유하는 것은 가능하나 허가 없이 변경배포는 불가합니다.)
ValueCountFrequency (%)
37
 
6.3%
play 14
 
2.4%
and 7
 
1.2%
channel 6
 
1.0%
채널입니다 6
 
1.0%
◎ 6
 
1.0%
미라지 5
 
0.8%
to 5
 
0.8%
the 5
 
0.8%
for 5
 
0.8%
Other values (415) 493
83.7%
2023-12-10T23:12:08.951155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
624
 
16.9%
- 246
 
6.7%
e 111
 
3.0%
t 108
 
2.9%
a 99
 
2.7%
o 90
 
2.4%
n 77
 
2.1%
i 75
 
2.0%
r 68
 
1.8%
s 66
 
1.8%
Other values (362) 2120
57.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1186
32.2%
Other Letter 1179
32.0%
Space Separator 624
16.9%
Dash Punctuation 246
 
6.7%
Other Punctuation 190
 
5.2%
Uppercase Letter 114
 
3.1%
Decimal Number 70
 
1.9%
Close Punctuation 20
 
0.5%
Open Punctuation 19
 
0.5%
Other Symbol 16
 
0.4%
Other values (3) 20
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
3.1%
다 31
 
2.6%
니 31
 
2.6%
로 25
 
2.1%
는 22
 
1.9%
ㅡ 22
 
1.9%
하 20
 
1.7%
에 19
 
1.6%
리 18
 
1.5%
스 17
 
1.4%
Other values (276) 938
79.6%
Lowercase Letter
ValueCountFrequency (%)
e 111
 
9.4%
t 108
 
9.1%
a 99
 
8.3%
o 90
 
7.6%
n 77
 
6.5%
i 75
 
6.3%
r 68
 
5.7%
s 66
 
5.6%
h 56
 
4.7%
c 55
 
4.6%
Other values (15) 381
32.1%
Uppercase Letter
ValueCountFrequency (%)
I 13
 
11.4%
T 11
 
9.6%
D 8
 
7.0%
C 7
 
6.1%
P 6
 
5.3%
E 6
 
5.3%
M 6
 
5.3%
O 6
 
5.3%
R 5
 
4.4%
S 5
 
4.4%
Other values (15) 41
36.0%
Other Punctuation
ValueCountFrequency (%)
. 65
34.2%
; 41
21.6%
: 27
14.2%
' 21
 
11.1%
! 17
 
8.9%
@ 9
 
4.7%
& 6
 
3.2%
% 1
 
0.5%
* 1
 
0.5%
? 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
3 12
17.1%
1 12
17.1%
0 12
17.1%
7 8
11.4%
2 6
8.6%
4 5
7.1%
5 5
7.1%
8 4
 
5.7%
9 4
 
5.7%
6 2
 
2.9%
Other Symbol
ValueCountFrequency (%)
◎ 6
37.5%
◐ 4
25.0%
♡ 2
 
12.5%
▶ 2
 
12.5%
♥ 2
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 10
50.0%
] 10
50.0%
Open Punctuation
ValueCountFrequency (%)
[ 10
52.6%
( 9
47.4%
Math Symbol
ValueCountFrequency (%)
= 7
87.5%
~ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1300
35.3%
Common 1205
32.7%
Hangul 1179
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
3.1%
다 31
 
2.6%
니 31
 
2.6%
로 25
 
2.1%
는 22
 
1.9%
ㅡ 22
 
1.9%
하 20
 
1.7%
에 19
 
1.6%
리 18
 
1.5%
스 17
 
1.4%
Other values (276) 938
79.6%
Latin
ValueCountFrequency (%)
e 111
 
8.5%
t 108
 
8.3%
a 99
 
7.6%
o 90
 
6.9%
n 77
 
5.9%
i 75
 
5.8%
r 68
 
5.2%
s 66
 
5.1%
h 56
 
4.3%
c 55
 
4.2%
Other values (40) 495
38.1%
Common
ValueCountFrequency (%)
624
51.8%
- 246
 
20.4%
. 65
 
5.4%
; 41
 
3.4%
: 27
 
2.2%
' 21
 
1.7%
! 17
 
1.4%
3 12
 
1.0%
1 12
 
1.0%
0 12
 
1.0%
Other values (26) 128
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2488
67.5%
Hangul 1157
31.4%
Compat Jamo 22
 
0.6%
Geometric Shapes 12
 
0.3%
Misc Symbols 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
624
25.1%
- 246
 
9.9%
e 111
 
4.5%
t 108
 
4.3%
a 99
 
4.0%
o 90
 
3.6%
n 77
 
3.1%
i 75
 
3.0%
r 68
 
2.7%
s 66
 
2.7%
Other values (70) 924
37.1%
Hangul
ValueCountFrequency (%)
이 36
 
3.1%
다 31
 
2.7%
니 31
 
2.7%
로 25
 
2.2%
는 22
 
1.9%
하 20
 
1.7%
에 19
 
1.6%
리 18
 
1.6%
스 17
 
1.5%
의 17
 
1.5%
Other values (275) 921
79.6%
Compat Jamo
ValueCountFrequency (%)
ㅡ 22
100.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 6
50.0%
◐ 4
33.3%
▶ 2
 
16.7%
Misc Symbols
ValueCountFrequency (%)
♡ 2
50.0%
♥ 2
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

생성일
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing12
Missing (%)42.9%
Memory size356.0 B
Minimum2011-10-19 00:00:00
Maximum2018-12-10 00:00:00
2023-12-10T23:12:09.228460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:12:09.535110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

키워드
Text

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:12:09.828503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.4642857
Min length1

Characters and Unicode

Total characters69
Distinct characters38
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

Unique15 ?
Unique (%)53.6%

Sample

1st row인구
2nd row기업
3rd row상록구
4th row크리에이터
5th row크리에이터
ValueCountFrequency (%)
크리에이터 4
 
14.3%
교육 3
 
10.7%
먹방 2
 
7.1%
산업 2
 
7.1%
행사 2
 
7.1%
고용 1
 
3.6%
인구 1
 
3.6%
청년 1
 
3.6%
창업 1
 
3.6%
명소 1
 
3.6%
Other values (10) 10
35.7%
2023-12-10T23:12:10.447971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
크 4
 
5.8%
업 4
 
5.8%
에 4
 
5.8%
이 4
 
5.8%
터 4
 
5.8%
리 4
 
5.8%
구 3
 
4.3%
사 3
 
4.3%
교 3
 
4.3%
육 3
 
4.3%
Other values (28) 33
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 4
 
5.8%
업 4
 
5.8%
에 4
 
5.8%
이 4
 
5.8%
터 4
 
5.8%
리 4
 
5.8%
구 3
 
4.3%
사 3
 
4.3%
교 3
 
4.3%
육 3
 
4.3%
Other values (28) 33
47.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 4
 
5.8%
업 4
 
5.8%
에 4
 
5.8%
이 4
 
5.8%
터 4
 
5.8%
리 4
 
5.8%
구 3
 
4.3%
사 3
 
4.3%
교 3
 
4.3%
육 3
 
4.3%
Other values (28) 33
47.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
크 4
 
5.8%
업 4
 
5.8%
에 4
 
5.8%
이 4
 
5.8%
터 4
 
5.8%
리 4
 
5.8%
구 3
 
4.3%
사 3
 
4.3%
교 3
 
4.3%
육 3
 
4.3%
Other values (28) 33
47.8%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.142857
Minimum1
Maximum1651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:12:10.636495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q38.25
95-th percentile124.45
Maximum1651
Range1650
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation311.59693
Coefficient of variation (CV)4.4423187
Kurtosis27.291704
Mean70.142857
Median Absolute Deviation (MAD)1
Skewness5.2005813
Sum1964
Variance97092.646
MonotonicityNot monotonic
2023-12-10T23:12:10.863798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 11
39.3%
2 4
 
14.3%
4 2
 
7.1%
7 2
 
7.1%
1651 1
 
3.6%
6 1
 
3.6%
25 1
 
3.6%
12 1
 
3.6%
178 1
 
3.6%
13 1
 
3.6%
Other values (3) 3
 
10.7%
ValueCountFrequency (%)
1 11
39.3%
2 4
 
14.3%
3 1
 
3.6%
4 2
 
7.1%
6 1
 
3.6%
7 2
 
7.1%
12 1
 
3.6%
13 1
 
3.6%
14 1
 
3.6%
21 1
 
3.6%
ValueCountFrequency (%)
1651 1
3.6%
178 1
3.6%
25 1
3.6%
21 1
3.6%
14 1
3.6%
13 1
3.6%
12 1
3.6%
7 2
7.1%
6 1
3.6%
4 2
7.1%

키워드중요도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.683107
Minimum0.571
Maximum1476.665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:12:11.073032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.571
5-th percentile0.7445
Q11.51975
median2.665
Q310.69125
95-th percentile66.9433
Maximum1476.665
Range1476.094
Interquartile range (IQR)9.1715

Descriptive statistics

Standard deviation278.0408
Coefficient of variation (CV)4.5818485
Kurtosis27.760004
Mean60.683107
Median Absolute Deviation (MAD)1.771
Skewness5.2597846
Sum1699.127
Variance77306.687
MonotonicityNot monotonic
2023-12-10T23:12:11.330563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.894 2
 
7.1%
1.556 1
 
3.6%
3.476 1
 
3.6%
1.713 1
 
3.6%
1.24 1
 
3.6%
5.769 1
 
3.6%
20.857 1
 
3.6%
10.443 1
 
3.6%
4.649 1
 
3.6%
1.559 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0.571 1
3.6%
0.664 1
3.6%
0.894 2
7.1%
0.914 1
3.6%
1.24 1
3.6%
1.411 1
3.6%
1.556 1
3.6%
1.559 1
3.6%
1.713 1
3.6%
1.789 1
3.6%
ValueCountFrequency (%)
1476.665 1
3.6%
91.759 1
3.6%
20.857 1
3.6%
15.004 1
3.6%
14.271 1
3.6%
13.422 1
3.6%
11.436 1
3.6%
10.443 1
3.6%
5.769 1
3.6%
4.836 1
3.6%

Interactions

2023-12-10T23:12:03.820479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:12:03.388973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:12:04.045812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:12:03.542218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:12:11.489277image/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
2023-12-10T23:12:11.675593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.888
키워드중요도0.8881.000

Missing values

2023-12-10T23:12:04.316242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:12:04.727947image/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.
2023-12-10T23:12:04.924251image/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
0UCw-PP0JLJMVlVJtZnbqhQww성북문화재단2021-09-01<NA>2013-12-17인구11.556
1UC73j3rtkjb3qCvC7XZidzmw미라지2021-09-01Mirage (미라지) Twitch Streamer (Overwatch) ㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡㅡ ◐ 미라지 트위치 - https:www.twitch.tvmirage720 ◐ 미라지 게시판 - http:tgd.krmirage720 (팬아트환영) ◐ 미라지 페이스북 - https:www.facebook.comummiZzang ◐ 미라지 인스타그램 - https:www.instagram.combaejungmin7202016-10-23기업43.771
2UCW3Zwj1ntR4I8OxEJvTM5XA스윗더미 . Sweet The MI2021-09-01♥2011-10-19상록구14.836
3UC04-c3rVAy-vK4PX0R_ARpg소다지니 SoDaGenie2021-09-01Mom&Kids Grow Together! 소을 다을 남매와 소다맘 이윤진의 일상을 담아가는 채널<NA>크리에이터10.894
4UCkrboHEREUVOaFNbuQ2taZg프리티에스더 PrettyEsther2021-09-01[프리티에스더]는 키즈크리에이터 '프리티에스더'의 신나고 재밌고 행복한 놀이를 함께 공유하는 채널입니다. [놀이]라는 주제로 '구독자 및 시청자' 여러분들을 주 3회~ 4회 찾아뵙겠습니다. [프리티에스더]와 함께 행복한 시간 되세요^^ (파파와놀이; 장난감놀이; 악기놀이; 요리놀이; 야외놀이; 실내놀이; 미술놀이; 공부놀이; 체험놀이; 역할놀이; 상상놀이; 창의놀이 등) ◎ 채널시작 : 2016.11.03 ◎ 업로드 예정시간 : 주 4회 [프리티에스더] 구독하기▶https:goo.glNbc78O ♡ [프리티에스더] 응원해 주세요 ◎ '구독 & 좋아요 & 예쁜댓글 & 공유'는 프리티에스더에게 큰 힘이 됩니다 ◎ '구독자 & 시청자' 여러분들의 따뜻한 사랑에 진심으로 감사드립니다. ◎ 앞으로도 재밌고 따뜻한 영상으로 여러분들에게 찾아올께요. [프리티에스더] 많이 사랑해 주세요 ◎ 구독하기 주소 ▶https:goo.glNbc78O ♡ [프리티에스더] 비즈니스연락하기 : pretty.esther.son@gmail.com [Pretty Esther] INFORMATION The Channel is the Kids Creator 'Pretty Esther' It is a channel to share exciting; funny and happy plays together. Play with papa; toy play; musical instrument play; cooking play; outdoor play; indoor play; art play; study play; experience play; role play; Imaginative play; role play; game play etc. [play] with the theme 'subscribers and viewers' every day I'll see you. [Pretty Esther] Have a g2016-08-03크리에이터16511476.665
5UCELCFg_JcEc3PyDd46HUMKg로기 Roki2021-09-01매주 화.토 로기가 꿀잼 영상으로 여러분을 찾아갑니다! ----------------------------------------------------------- = 채널시작: 2017113 ----------------------------------------------------------- = 업로드: 매주 화요일 오후 5시; 토요일 오전 10시 ----------------------------------------------------------- = 비지니스문의: roki301139@naver.com ----------------------------------------------------------- = 로기Roki 채널구독 - https:www.youtube.comchannelUCE=LCFg_JcEc3PyDd46HUMKg = 로기의 인스타그램 - https:www.instagram.comroki1357 = 로기의 트위치 생방송 - https:www.twitch.tvroki1357 (.해당 영상의 저작권은 로기Roki에게 있습니다. 이 영상을 공유하는 것은 가능하나 허가 없이 변경배포는 불가합니다.)2014-11-10크리에이터10.894
6UC0bm8kKuMp8chJuxzlLnlnA주예지 JOOYEJI2021-09-01<NA><NA>교육10.571
7UCdTL3mkfqzl5SkT7LP_v0eQyc k2021-09-01<NA><NA>크리에이터21.789
8UC2jkfOUD5KNbIpkb77-chqQARIKITCHEN (아리키친)2021-09-01안녕하세요! 아리키친 채널에 오신것을 환영합니다 ♥ 평범한건 재미없죠? 여러가지 재밌고 통통튀는 아이디어 베이킹 꾸준히 소개할게요! 정성 가득담아 자세히 알려드리려 연구하고 있어요^^ 반가워요!! 구독과 좋아요 감사합니다! Hello! My name is A-Ri! This channel will be dedicated to introducing you to my exciting tips and secrets of easy and fun baking! Please subscribe to my channel for updates and new recipes! You can also follow me on Facebook and Instagram! Thanks everyone and stay healthy :)<NA>먹방63.093
9UCkLME_0_xG8PZhj0H1NxU1A홍월2021-09-01여러분들 안녕하세요 홍월입니다. 제가 주로 하는 게임은 콘솔게임이며 앞으로도 콘솔입니다. 생방은 8시에 트위치(https:www.twitch.tvhsm3243)에서 하고 있으니 많은 시청 부탁드립니다.2013-09-24귀농12.112
채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
18UCJDEss5wA1ddrCBC40giO8A형독방송2021-09-01<NA><NA>관광10.914
19UCA9lR7W1otxtVIT4OFlNU8AJTBC Brand Design2021-09-01JTBC Design2014-05-28청년22.122
20UC3PmA-ZM0vjLUXcAYkWCiDw양천TV2021-09-01양천구청에서 양천구의 새로운 소식들부터 톡톡 튀는 재미를 선사하는 영상까지 소개해드립니다.2018-12-04구직715.004
21UCMWzdwENwoKo2quoc5Xi6Bw세종시설공단2021-09-01<NA>2018-02-01고용11.559
22UCV5a6CsFhfGRATihfeeidow새벽을 여는 건2021-09-01Gun for Dawn2016-01-24행사74.649
23UCEJjV_bSvQwFjd_lnAzzn1gDabin stay2021-09-01Dabin stay. * Mail. nablue09@gmail.com<NA>카페2110.443
24UCB-_erKKoU9nM5Z4tm4O4fw주시옹 자연을 담다2021-09-01자연의 아름다움을 노래와 함께 담았습니다. 멍 때리고 보기 좋은 채널입니다.2012-09-04명소1420.857
25UCcm7Jc50537eMixvkVNU8-Q수다피플2021-09-01만들고 올리고 싶은 영상이 모이는 채널입니다. 현직 프로그래머; 서버 엔지니어; 컨설턴트로 있지만 또 한 편으로 게임을 좋아하고 미래 IT 인재들을 양성하고 싶은 욕심 많은 사람입니다. 마인크래프트 영상이 많아서 수익창출이 난 것 같지만; 사실 콜 오브 듀티 모바일 생방송으로 수익창출이 났다는 사실. 마인크래프트 뿐만 아니라 다양한 분들에게 영상으로 도움을 드리고 싶습니다. 잡다한 지식들이 많은 사람입니다.<NA>창업45.769
26UC_nWnMfuizqJz0-SvaqaqPg로첼리Rochelli2021-09-01DIA TV 그림;우타이테;인터넷 방송인 로첼리의 영상;스트리밍 채널입니다. 콜라보;광고 기타문의는 - chellistudio@naver.com<NA>사용법11.24
27UC3eNWzE-pftCXatCuUAaHGw김구라의 뻐꾸기 골프 TV2021-09-01뻐꾸기 적통 '그렇joe' 김구라와 그의 절친 '초롱좌' 박노준; 그리고 그의 친구들! 서로를 물고 뜯는 현실 반영 100% '뻐꾸기' 골프 예능! 제작 : SH enter & company(http:sh-tv.co.kr) 비즈니스 문의 : guragolf@sandbox.co.kr 샌드박스<NA>교육31.713