Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells6
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory70.9 B

Variable types

Text4
DateTime2
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/98a57559-b1b6-4afc-9acc-567357e52ab2

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 (18.5%) missing valuesMissing
생성일 has 1 (3.7%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique
키워드중요도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:52:00.653514
Analysis finished2023-12-10 13:52:02.388277
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널ID
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:52:02.627547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters648
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowUC82ttFrBEnj8pwQPoNxQYtA
2nd rowUCCkOHu8cifMUsfrlv2tBB_A
3rd rowUCuZu8NrpBG4WPXRi-hPBl-A
4th rowUClROfd2bxkOdMOV01y-e38g
5th rowUCD3EyKrGRo7hOhYkDGINUZw
ValueCountFrequency (%)
uc82ttfrbenj8pwqponxqyta 1
 
3.7%
uccflwtdjf1fqxkilmvauw2w 1
 
3.7%
ucyzzwcuxyn6tkaeyqrefj2w 1
 
3.7%
uc3axzj_yk5q0zhaobc2jkwq 1
 
3.7%
ucbfzvzdu17edz3riealrswq 1
 
3.7%
ucu8mou_jjcf-ixzmkaqpa6g 1
 
3.7%
ucjcns4-1bff7h2fzuuczzig 1
 
3.7%
uc4k8cyenfhkeau6w3yhlgew 1
 
3.7%
ucdrar1owc2md4s0jletn0ma 1
 
3.7%
uch6fowygacpmcd6dfohbafa 1
 
3.7%
Other values (17) 17
63.0%
2023-12-10T22:52:03.111524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 38
 
5.9%
U 35
 
5.4%
A 22
 
3.4%
w 20
 
3.1%
f 15
 
2.3%
Z 15
 
2.3%
h 14
 
2.2%
Q 14
 
2.2%
8 14
 
2.2%
Y 13
 
2.0%
Other values (54) 448
69.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 312
48.1%
Lowercase Letter 238
36.7%
Decimal Number 84
 
13.0%
Dash Punctuation 10
 
1.5%
Connector Punctuation 4
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 38
 
12.2%
U 35
 
11.2%
A 22
 
7.1%
Z 15
 
4.8%
Q 14
 
4.5%
Y 13
 
4.2%
N 13
 
4.2%
E 12
 
3.8%
O 12
 
3.8%
K 11
 
3.5%
Other values (16) 127
40.7%
Lowercase Letter
ValueCountFrequency (%)
w 20
 
8.4%
f 15
 
6.3%
h 14
 
5.9%
l 12
 
5.0%
u 11
 
4.6%
g 10
 
4.2%
y 10
 
4.2%
o 10
 
4.2%
z 10
 
4.2%
i 9
 
3.8%
Other values (16) 117
49.2%
Decimal Number
ValueCountFrequency (%)
8 14
16.7%
1 11
13.1%
2 11
13.1%
6 10
11.9%
0 8
9.5%
9 8
9.5%
3 7
8.3%
7 7
8.3%
4 5
 
6.0%
5 3
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 550
84.9%
Common 98
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 38
 
6.9%
U 35
 
6.4%
A 22
 
4.0%
w 20
 
3.6%
f 15
 
2.7%
Z 15
 
2.7%
h 14
 
2.5%
Q 14
 
2.5%
Y 13
 
2.4%
N 13
 
2.4%
Other values (42) 351
63.8%
Common
ValueCountFrequency (%)
8 14
14.3%
1 11
11.2%
2 11
11.2%
- 10
10.2%
6 10
10.2%
0 8
8.2%
9 8
8.2%
3 7
7.1%
7 7
7.1%
4 5
 
5.1%
Other values (2) 7
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 38
 
5.9%
U 35
 
5.4%
A 22
 
3.4%
w 20
 
3.1%
f 15
 
2.3%
Z 15
 
2.3%
h 14
 
2.2%
Q 14
 
2.2%
8 14
 
2.2%
Y 13
 
2.0%
Other values (54) 448
69.1%

채널명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:52:03.450307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.2962963
Min length2

Characters and Unicode

Total characters224
Distinct characters111
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row황꿀 gguul's boundary
2nd row한국예탁결제원
3rd row조효진 HYOJIN
4th rowYOUIS 유이즈
5th row대구중구
ValueCountFrequency (%)
황꿀 1
 
2.7%
샨토끼_김사은 1
 
2.7%
nia한국지능정보사회진흥원 1
 
2.7%
bexco 1
 
2.7%
maji마지 1
 
2.7%
시사tvchosun 1
 
2.7%
덕구티이비 1
 
2.7%
과천시 1
 
2.7%
각별 1
 
2.7%
개땡중 1
 
2.7%
Other values (27) 27
73.0%
2023-12-10T22:52:03.960337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
4.5%
T 7
 
3.1%
e 6
 
2.7%
N 5
 
2.2%
n 5
 
2.2%
a 5
 
2.2%
V 4
 
1.8%
한 4
 
1.8%
A 4
 
1.8%
H 4
 
1.8%
Other values (101) 170
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
42.4%
Lowercase Letter 59
26.3%
Uppercase Letter 57
25.4%
Space Separator 10
 
4.5%
Other Punctuation 2
 
0.9%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 4
 
4.2%
이 4
 
4.2%
구 4
 
4.2%
국 4
 
4.2%
사 4
 
4.2%
시 3
 
3.2%
진 3
 
3.2%
티 2
 
2.1%
클 2
 
2.1%
천 2
 
2.1%
Other values (55) 63
66.3%
Uppercase Letter
ValueCountFrequency (%)
T 7
12.3%
N 5
 
8.8%
V 4
 
7.0%
A 4
 
7.0%
H 4
 
7.0%
S 4
 
7.0%
C 3
 
5.3%
M 3
 
5.3%
O 3
 
5.3%
I 3
 
5.3%
Other values (11) 17
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
 
10.2%
n 5
 
8.5%
a 5
 
8.5%
i 4
 
6.8%
t 4
 
6.8%
o 4
 
6.8%
s 4
 
6.8%
y 3
 
5.1%
r 3
 
5.1%
u 3
 
5.1%
Other values (11) 18
30.5%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 116
51.8%
Hangul 95
42.4%
Common 13
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 4
 
4.2%
이 4
 
4.2%
구 4
 
4.2%
국 4
 
4.2%
사 4
 
4.2%
시 3
 
3.2%
진 3
 
3.2%
티 2
 
2.1%
클 2
 
2.1%
천 2
 
2.1%
Other values (55) 63
66.3%
Latin
ValueCountFrequency (%)
T 7
 
6.0%
e 6
 
5.2%
N 5
 
4.3%
n 5
 
4.3%
a 5
 
4.3%
V 4
 
3.4%
A 4
 
3.4%
H 4
 
3.4%
i 4
 
3.4%
t 4
 
3.4%
Other values (32) 68
58.6%
Common
ValueCountFrequency (%)
10
76.9%
_ 1
 
7.7%
' 1
 
7.7%
: 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
57.6%
Hangul 95
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
 
7.8%
T 7
 
5.4%
e 6
 
4.7%
N 5
 
3.9%
n 5
 
3.9%
a 5
 
3.9%
V 4
 
3.1%
A 4
 
3.1%
H 4
 
3.1%
i 4
 
3.1%
Other values (36) 75
58.1%
Hangul
ValueCountFrequency (%)
한 4
 
4.2%
이 4
 
4.2%
구 4
 
4.2%
국 4
 
4.2%
사 4
 
4.2%
시 3
 
3.2%
진 3
 
3.2%
티 2
 
2.1%
클 2
 
2.1%
천 2
 
2.1%
Other values (55) 63
66.3%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2021-03-01 00:00:00
Maximum2021-03-01 00:00:00
2023-12-10T22:52:04.132615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:04.254074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing5
Missing (%)18.5%
Memory size348.0 B
2023-12-10T22:52:04.540815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length856
Median length75
Mean length140.86364
Min length11

Characters and Unicode

Total characters3099
Distinct characters299
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row안녕하세요 ;) 제 룩북과 일상을 사랑해주시는 분들을 환영합니다!!
2nd row한국예탁결제원의 공식 유튜브 채널입니다. 한국예탁결제원은 4천조원이 넘는 국민자산을 관리하는 대한민국 대표 종합증권서비스 기업입니다. 끊임없는 변화와 혁신을 통해 안정적인 금융인프라를 제공함으로써 투자자의 가치증진과 금융시장의 발전에 기여하고 있습니다. 또한 World Class Securities Service Provider로서 글로벌 증권거래 플랫폼을 제공하여 세계일류 종합 금융서비스 기업으로 발전해 나가고 있습니다. The Official Youtube Channel of KSD(Korea Securities Depository) Korea Securities Depository (KSD) is the world class securities service provider of Korea; providing custody and settlement services for securities amounting to 4;000 trillion won of securities in its centralized deposit system. KSD also offers a stable and efficient financial investment infrastructure to diverse capital market participants. We pledge our commitment to go beyond our customers' expectations with consideration and excellence; and we will do our best to make KSD worthy of affection and trust from our customers and the public.
3rd rowinsta : https:www.instagram.comhyojinc_ e-mail : chohyojin@1994company.com
4th row소통과 참여; 희망의 새 중구
5th row방구석에 누워 해외여행가자! 구독 하면 재미있는 해외여행이 팡팡! 문의사항 jmqn1127@gmail.com
ValueCountFrequency (%)
22
 
4.6%
to 12
 
2.5%
and 10
 
2.1%
the 8
 
1.7%
channel 7
 
1.5%
of 7
 
1.5%
▶ 6
 
1.2%
securities 6
 
1.2%
채널입니다 6
 
1.2%
유튜브 6
 
1.2%
Other values (322) 391
81.3%
2023-12-10T22:52:05.104441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
488
 
15.7%
- 176
 
5.7%
e 143
 
4.6%
t 131
 
4.2%
o 110
 
3.5%
a 99
 
3.2%
n 95
 
3.1%
i 95
 
3.1%
s 87
 
2.8%
r 79
 
2.5%
Other values (289) 1596
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1371
44.2%
Other Letter 700
22.6%
Space Separator 488
 
15.7%
Dash Punctuation 176
 
5.7%
Uppercase Letter 159
 
5.1%
Other Punctuation 122
 
3.9%
Decimal Number 42
 
1.4%
Close Punctuation 15
 
0.5%
Open Punctuation 12
 
0.4%
Other Symbol 7
 
0.2%
Other values (2) 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 20
 
2.9%
다 20
 
2.9%
스 19
 
2.7%
의 17
 
2.4%
시 14
 
2.0%
이 12
 
1.7%
는 12
 
1.7%
입 11
 
1.6%
비 11
 
1.6%
을 11
 
1.6%
Other values (214) 553
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 143
 
10.4%
t 131
 
9.6%
o 110
 
8.0%
a 99
 
7.2%
n 95
 
6.9%
i 95
 
6.9%
s 87
 
6.3%
r 79
 
5.8%
c 67
 
4.9%
l 60
 
4.4%
Other values (16) 405
29.5%
Uppercase Letter
ValueCountFrequency (%)
T 22
13.8%
S 15
 
9.4%
I 10
 
6.3%
D 10
 
6.3%
C 10
 
6.3%
E 9
 
5.7%
V 9
 
5.7%
G 8
 
5.0%
K 8
 
5.0%
M 8
 
5.0%
Other values (12) 50
31.4%
Decimal Number
ValueCountFrequency (%)
0 9
21.4%
2 9
21.4%
1 7
16.7%
9 4
9.5%
3 4
9.5%
4 3
 
7.1%
5 2
 
4.8%
6 2
 
4.8%
8 1
 
2.4%
7 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 41
33.6%
: 26
21.3%
; 19
15.6%
! 13
 
10.7%
' 12
 
9.8%
@ 7
 
5.7%
* 4
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 11
73.3%
] 4
 
26.7%
Open Punctuation
ValueCountFrequency (%)
( 8
66.7%
[ 4
33.3%
Other Symbol
ValueCountFrequency (%)
▶ 6
85.7%
ⓒ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1530
49.4%
Common 869
28.0%
Hangul 700
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
니 20
 
2.9%
다 20
 
2.9%
스 19
 
2.7%
의 17
 
2.4%
시 14
 
2.0%
이 12
 
1.7%
는 12
 
1.7%
입 11
 
1.6%
비 11
 
1.6%
을 11
 
1.6%
Other values (214) 553
79.0%
Latin
ValueCountFrequency (%)
e 143
 
9.3%
t 131
 
8.6%
o 110
 
7.2%
a 99
 
6.5%
n 95
 
6.2%
i 95
 
6.2%
s 87
 
5.7%
r 79
 
5.2%
c 67
 
4.4%
l 60
 
3.9%
Other values (38) 564
36.9%
Common
ValueCountFrequency (%)
488
56.2%
- 176
 
20.3%
. 41
 
4.7%
: 26
 
3.0%
; 19
 
2.2%
! 13
 
1.5%
' 12
 
1.4%
) 11
 
1.3%
0 9
 
1.0%
2 9
 
1.0%
Other values (17) 65
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2392
77.2%
Hangul 700
 
22.6%
Geometric Shapes 6
 
0.2%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
488
20.4%
- 176
 
7.4%
e 143
 
6.0%
t 131
 
5.5%
o 110
 
4.6%
a 99
 
4.1%
n 95
 
4.0%
i 95
 
4.0%
s 87
 
3.6%
r 79
 
3.3%
Other values (63) 889
37.2%
Hangul
ValueCountFrequency (%)
니 20
 
2.9%
다 20
 
2.9%
스 19
 
2.7%
의 17
 
2.4%
시 14
 
2.0%
이 12
 
1.7%
는 12
 
1.7%
입 11
 
1.6%
비 11
 
1.6%
을 11
 
1.6%
Other values (214) 553
79.0%
Geometric Shapes
ValueCountFrequency (%)
▶ 6
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
100.0%

생성일
Date

MISSING 

Distinct26
Distinct (%)100.0%
Missing1
Missing (%)3.7%
Memory size348.0 B
Minimum2009-07-30 00:00:00
Maximum2019-07-10 00:00:00
2023-12-10T22:52:05.669725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:05.911507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

키워드
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-10T22:52:06.191118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.1851852
Min length1

Characters and Unicode

Total characters59
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 (%)59.3%

Sample

1st row앱
2nd row투자
3rd row축제
4th row사투리
5th row여성
ValueCountFrequency (%)
앱 3
 
11.1%
여성 2
 
7.4%
투자 2
 
7.4%
대회 2
 
7.4%
사투리 2
 
7.4%
정책 1
 
3.7%
기업 1
 
3.7%
데이트 1
 
3.7%
주식 1
 
3.7%
카페 1
 
3.7%
Other values (11) 11
40.7%
2023-12-10T22:52:06.797664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
투 4
 
6.8%
앱 3
 
5.1%
사 3
 
5.1%
여 3
 
5.1%
대 2
 
3.4%
이 2
 
3.4%
페 2
 
3.4%
회 2
 
3.4%
자 2
 
3.4%
성 2
 
3.4%
Other values (32) 34
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
투 4
 
6.8%
앱 3
 
5.1%
사 3
 
5.1%
여 3
 
5.1%
대 2
 
3.4%
이 2
 
3.4%
페 2
 
3.4%
회 2
 
3.4%
자 2
 
3.4%
성 2
 
3.4%
Other values (32) 34
57.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
투 4
 
6.8%
앱 3
 
5.1%
사 3
 
5.1%
여 3
 
5.1%
대 2
 
3.4%
이 2
 
3.4%
페 2
 
3.4%
회 2
 
3.4%
자 2
 
3.4%
성 2
 
3.4%
Other values (32) 34
57.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
투 4
 
6.8%
앱 3
 
5.1%
사 3
 
5.1%
여 3
 
5.1%
대 2
 
3.4%
이 2
 
3.4%
페 2
 
3.4%
회 2
 
3.4%
자 2
 
3.4%
성 2
 
3.4%
Other values (32) 34
57.6%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.296296
Minimum1
Maximum406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-10T22:52:07.067855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q312.5
95-th percentile81.2
Maximum406
Range405
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation78.573246
Coefficient of variation (CV)2.9879967
Kurtosis23.089868
Mean26.296296
Median Absolute Deviation (MAD)3
Skewness4.6987934
Sum710
Variance6173.755
MonotonicityNot monotonic
2023-12-10T22:52:07.390840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 5
18.5%
2 4
14.8%
4 4
14.8%
3 2
 
7.4%
8 2
 
7.4%
5 2
 
7.4%
41 1
 
3.7%
22 1
 
3.7%
12 1
 
3.7%
98 1
 
3.7%
Other values (4) 4
14.8%
ValueCountFrequency (%)
1 5
18.5%
2 4
14.8%
3 2
 
7.4%
4 4
14.8%
5 2
 
7.4%
8 2
 
7.4%
12 1
 
3.7%
13 1
 
3.7%
15 1
 
3.7%
22 1
 
3.7%
ValueCountFrequency (%)
406 1
3.7%
98 1
3.7%
42 1
3.7%
41 1
3.7%
22 1
3.7%
15 1
3.7%
13 1
3.7%
12 1
3.7%
8 2
7.4%
5 2
7.4%

키워드중요도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.689667
Minimum0.831
Maximum219.447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-10T22:52:07.587911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.831
5-th percentile1.0501
Q11.7515
median4.662
Q312.961
95-th percentile134.1699
Maximum219.447
Range218.616
Interquartile range (IQR)11.2095

Descriptive statistics

Standard deviation51.353972
Coefficient of variation (CV)2.36767
Kurtosis10.642025
Mean21.689667
Median Absolute Deviation (MAD)3.244
Skewness3.3365874
Sum585.621
Variance2637.2305
MonotonicityNot monotonic
2023-12-10T22:52:07.780699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.952 1
 
3.7%
51.278 1
 
3.7%
4.758 1
 
3.7%
9.42 1
 
3.7%
4.773 1
 
3.7%
4.942 1
 
3.7%
1.714 1
 
3.7%
12.233 1
 
3.7%
3.718 1
 
3.7%
2.501 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
0.831 1
3.7%
0.952 1
3.7%
1.279 1
3.7%
1.309 1
3.7%
1.418 1
3.7%
1.607 1
3.7%
1.714 1
3.7%
1.789 1
3.7%
2.501 1
3.7%
2.899 1
3.7%
ValueCountFrequency (%)
219.447 1
3.7%
169.695 1
3.7%
51.278 1
3.7%
22.294 1
3.7%
18.277 1
3.7%
14.273 1
3.7%
13.689 1
3.7%
12.233 1
3.7%
9.42 1
3.7%
7.436 1
3.7%

Interactions

2023-12-10T22:52:01.615436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:01.304137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:01.762627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:01.486592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:52:07.928729image/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
키워드1.0001.0001.0001.0001.0001.0000.799
키워드빈도1.0001.0001.0001.0001.0001.0000.976
키워드중요도1.0001.0001.0001.0000.7990.9761.000
2023-12-10T22:52:08.118692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.941
키워드중요도0.9411.000

Missing values

2023-12-10T22:52:01.950977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:52:02.166093image/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.
2023-12-10T22:52:02.314850image/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
0UC82ttFrBEnj8pwQPoNxQYtA황꿀 gguul's boundary2021-03-01안녕하세요 ;) 제 룩북과 일상을 사랑해주시는 분들을 환영합니다!!2019-07-10앱10.952
1UCCkOHu8cifMUsfrlv2tBB_A한국예탁결제원2021-03-01한국예탁결제원의 공식 유튜브 채널입니다. 한국예탁결제원은 4천조원이 넘는 국민자산을 관리하는 대한민국 대표 종합증권서비스 기업입니다. 끊임없는 변화와 혁신을 통해 안정적인 금융인프라를 제공함으로써 투자자의 가치증진과 금융시장의 발전에 기여하고 있습니다. 또한 World Class Securities Service Provider로서 글로벌 증권거래 플랫폼을 제공하여 세계일류 종합 금융서비스 기업으로 발전해 나가고 있습니다. The Official Youtube Channel of KSD(Korea Securities Depository) Korea Securities Depository (KSD) is the world class securities service provider of Korea; providing custody and settlement services for securities amounting to 4;000 trillion won of securities in its centralized deposit system. KSD also offers a stable and efficient financial investment infrastructure to diverse capital market participants. We pledge our commitment to go beyond our customers' expectations with consideration and excellence; and we will do our best to make KSD worthy of affection and trust from our customers and the public.2017-02-24투자4151.278
2UCuZu8NrpBG4WPXRi-hPBl-A조효진 HYOJIN2021-03-01insta : https:www.instagram.comhyojinc_ e-mail : chohyojin@1994company.com2016-03-05축제21.607
3UClROfd2bxkOdMOV01y-e38gYOUIS 유이즈2021-03-01<NA>2017-01-23사투리47.436
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6UCiBr0bK06imaMbLc8sAEz0AMBCentertainment2021-03-01Welcome 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!2009-07-30명소34.662
7UC6wiUwl7dPhZOAM92lGgKPgKBS HUMAN: 뭉클티비2021-03-01[인간극장] [티비는 사랑을 싣고] [체험 삶의 현장] [이웃집 찰스] 등의 레전드와 최신 프로그램 모음2015-10-26농사98169.695
8UCZ9vdyLmGse1LRHEY1HNYig창이의일상2021-03-01안녕하세요. 페이스북 : https:www.facebook.combbc0526 인스타그램 : https:www.instagram.combbc0526 광고문의 : lkh931022@gmail.com2016-09-04먹방406219.447
9UC3g-8BYn0MZMti9QDmXyhFwTekken LowHigh철권 로하이2021-03-01EVO2018 Champ 한국 철권 프로게이머 '로하이' 의 유튜브 채널입니다. It's Korean Tekken Pro Player; LowHigh's Youtube Channel2012-09-20드라이브34.26
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19UCDrAR1OWC2MD4s0JLetN0MA각별2021-03-01'별'짓 다 합니다.2016-01-09투자22.501
20UC4K8cYenfHkEAu6W3yhLgEw개땡중2021-03-01<NA>2015-12-26사투리23.718
21UCJCNS4-1Bff7H2fzuUCZzig클래씨 ClassyTV2021-03-01'모든 남자의 자신감'을 책임지는 유튜브 채널입니다! 남자의 그루밍 스타일 매너 팁들을 통해 클래씨한 신사가 되는 방법을 공유합니다! 더욱 클래씨한 신사가 되고 싶다면; 구독해주세요 :) How To Be A Classy Gentleman. (Men's Grooming Style Manners Tips) If you wanted to be more Classy Gentleman; Plz subscribe to our channel :) Instagram ID(인스타그램): https:www.instagram.comclasssytv E-mail(이메일): jswk3@naver.com 키워드: 클래시티비; 클래씨티비; 클래시 티비; 클래씨 티비; 킹스맨; 젠틀맨2016-09-18주식812.233
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26UCK9lNxYzWToTDhozDv6MSlAKPF한국언론진흥재단2021-03-01언론과 함께; 국민과 함께! 반갑습니다. 한국언론진흥재단입니다 ^^2016-02-23앱54.758