Overview

Dataset statistics

Number of variables8
Number of observations25
Missing cells4
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory71.3 B

Variable types

Text4
DateTime2
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/37f90f2a-e29f-4ac4-b2e7-fdf28fd9f7c7

Alerts

수집일 has constant value ""Constant
키워드빈도 is highly overall correlated with 키워드중요도High correlation
키워드중요도 is highly overall correlated with 키워드빈도High correlation
설명 has 4 (16.0%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique
키워드중요도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:05:42.531835
Analysis finished2023-12-10 14:05:44.196222
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널ID
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:05:44.439826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters600
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowUCoppgM9wcJl6Yys08-MOeGg
2nd rowUCzz58-H0wzmGoFi3MO_9ePQ
3rd rowUC2DBKKki_gtyrrgT7HYU1CA
4th rowUC722aanKaLtvD3oB2148IfQ
5th rowUCcbmCvUkjCEb0BJkJbR4EVQ
ValueCountFrequency (%)
ucoppgm9wcjl6yys08-moegg 1
 
4.0%
uc91gux1cdq1yq4ijm77iqwq 1
 
4.0%
ucilg4exy60b_n2kfemtdtwa 1
 
4.0%
ucvshdjbc_5iseoocdnwvvww 1
 
4.0%
uc1qmdxse5-lypogledzw_gw 1
 
4.0%
uciwrzpugafk5zd14basvdgq 1
 
4.0%
ucqjw3bulgzq4ug1-wfcpyxw 1
 
4.0%
ucrhqysx7c4-xj6bi2lhgr6w 1
 
4.0%
uc0hk2d145ogybymkjylwkkw 1
 
4.0%
ucvpizo1dixqhecusze51zlg 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T23:05:45.439960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 35
 
5.8%
C 33
 
5.5%
w 25
 
4.2%
1 16
 
2.7%
g 16
 
2.7%
k 14
 
2.3%
G 13
 
2.2%
i 13
 
2.2%
D 13
 
2.2%
B 12
 
2.0%
Other values (54) 410
68.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 270
45.0%
Lowercase Letter 230
38.3%
Decimal Number 83
 
13.8%
Connector Punctuation 9
 
1.5%
Dash Punctuation 8
 
1.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 35
 
13.0%
C 33
 
12.2%
G 13
 
4.8%
D 13
 
4.8%
B 12
 
4.4%
K 12
 
4.4%
Q 12
 
4.4%
J 11
 
4.1%
Z 10
 
3.7%
V 10
 
3.7%
Other values (16) 109
40.4%
Lowercase Letter
ValueCountFrequency (%)
w 25
 
10.9%
g 16
 
7.0%
k 14
 
6.1%
i 13
 
5.7%
e 12
 
5.2%
q 11
 
4.8%
y 11
 
4.8%
o 10
 
4.3%
p 10
 
4.3%
d 9
 
3.9%
Other values (16) 99
43.0%
Decimal Number
ValueCountFrequency (%)
1 16
19.3%
2 11
13.3%
7 10
12.0%
4 9
10.8%
5 8
9.6%
0 8
9.6%
6 7
8.4%
3 5
 
6.0%
8 5
 
6.0%
9 4
 
4.8%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 500
83.3%
Common 100
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 35
 
7.0%
C 33
 
6.6%
w 25
 
5.0%
g 16
 
3.2%
k 14
 
2.8%
G 13
 
2.6%
i 13
 
2.6%
D 13
 
2.6%
B 12
 
2.4%
e 12
 
2.4%
Other values (42) 314
62.8%
Common
ValueCountFrequency (%)
1 16
16.0%
2 11
11.0%
7 10
10.0%
_ 9
9.0%
4 9
9.0%
- 8
8.0%
5 8
8.0%
0 8
8.0%
6 7
7.0%
3 5
 
5.0%
Other values (2) 9
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 35
 
5.8%
C 33
 
5.5%
w 25
 
4.2%
1 16
 
2.7%
g 16
 
2.7%
k 14
 
2.3%
G 13
 
2.2%
i 13
 
2.2%
D 13
 
2.2%
B 12
 
2.0%
Other values (54) 410
68.3%

채널명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:05:45.837093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length13
Mean length8.36
Min length2

Characters and Unicode

Total characters209
Distinct characters124
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

Unique25 ?
Unique (%)100.0%

Sample

1st row새벽
2nd row온마이크
3rd rowEBS 국제다큐영화제 공식 채널
4th rowViolet World
5th row댓글 읽어주는 기자들
ValueCountFrequency (%)
새벽 1
 
2.4%
신속 1
 
2.4%
모든 1
 
2.4%
것 1
 
2.4%
berrytv 1
 
2.4%
몽까tv 1
 
2.4%
한국특허정보원 1
 
2.4%
한민주 1
 
2.4%
이석현 1
 
2.4%
사천tv 1
 
2.4%
Other values (32) 32
76.2%
2023-12-10T23:05:46.414833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
8.1%
e 10
 
4.8%
T 5
 
2.4%
l 5
 
2.4%
o 5
 
2.4%
V 5
 
2.4%
한 4
 
1.9%
n 4
 
1.9%
r 4
 
1.9%
국 4
 
1.9%
Other values (114) 146
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
56.9%
Lowercase Letter 46
 
22.0%
Uppercase Letter 24
 
11.5%
Space Separator 17
 
8.1%
Other Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 4
 
3.4%
국 4
 
3.4%
사 3
 
2.5%
관 3
 
2.5%
보 3
 
2.5%
기 3
 
2.5%
공 3
 
2.5%
주 2
 
1.7%
전 2
 
1.7%
광 2
 
1.7%
Other values (82) 90
75.6%
Lowercase Letter
ValueCountFrequency (%)
e 10
21.7%
l 5
10.9%
o 5
10.9%
n 4
 
8.7%
r 4
 
8.7%
d 3
 
6.5%
i 3
 
6.5%
a 3
 
6.5%
c 2
 
4.3%
h 2
 
4.3%
Other values (5) 5
10.9%
Uppercase Letter
ValueCountFrequency (%)
T 5
20.8%
V 5
20.8%
B 2
 
8.3%
K 2
 
8.3%
S 2
 
8.3%
G 1
 
4.2%
J 1
 
4.2%
P 1
 
4.2%
X 1
 
4.2%
W 1
 
4.2%
Other values (3) 3
12.5%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
! 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
56.9%
Latin 70
33.5%
Common 20
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 4
 
3.4%
국 4
 
3.4%
사 3
 
2.5%
관 3
 
2.5%
보 3
 
2.5%
기 3
 
2.5%
공 3
 
2.5%
주 2
 
1.7%
전 2
 
1.7%
광 2
 
1.7%
Other values (82) 90
75.6%
Latin
ValueCountFrequency (%)
e 10
14.3%
T 5
 
7.1%
l 5
 
7.1%
o 5
 
7.1%
V 5
 
7.1%
n 4
 
5.7%
r 4
 
5.7%
d 3
 
4.3%
i 3
 
4.3%
a 3
 
4.3%
Other values (18) 23
32.9%
Common
ValueCountFrequency (%)
17
85.0%
! 1
 
5.0%
] 1
 
5.0%
[ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
56.9%
ASCII 90
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
18.9%
e 10
 
11.1%
T 5
 
5.6%
l 5
 
5.6%
o 5
 
5.6%
V 5
 
5.6%
n 4
 
4.4%
r 4
 
4.4%
d 3
 
3.3%
i 3
 
3.3%
Other values (22) 29
32.2%
Hangul
ValueCountFrequency (%)
한 4
 
3.4%
국 4
 
3.4%
사 3
 
2.5%
관 3
 
2.5%
보 3
 
2.5%
기 3
 
2.5%
공 3
 
2.5%
주 2
 
1.7%
전 2
 
1.7%
광 2
 
1.7%
Other values (82) 90
75.6%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2021-02-01 00:00:00
Maximum2021-02-01 00:00:00
2023-12-10T23:05:46.650086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:46.836510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

설명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Memory size332.0 B
2023-12-10T23:05:47.225001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length277
Median length75
Mean length85
Min length8

Characters and Unicode

Total characters1785
Distinct characters351
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
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 rowdawn lee
2nd row온마이크는 군더더기 없는 뉴스의 현장을 보여 드립니다. 뉴스현장 곳곳의 생생한 현장음과 풀영상을 함께 보실 수 있는 온마이크. 구독하기 https:bit.ly2K9jr8c
3rd rowEBS국제다큐영화제 EIDF 공식 Youtube 채널입니다. This is the official YouTube EIDF site.
4th rowWelcome to my channel ;) Violet makes you beautiful :-) 뷰티유투버 바이올렛 뷰티 채널 입니다 ;) HAVE A BEAUTIFUL DAY 문의 : violetiful@gmail.com
5th row엥? 케베스가 이런 걸? 본인 기사에 달린 댓글을 읽고 기자들이 내놓는 찌질한 변명과 반성의 시간! 꿀잼 취재 뒷이야기와 각종 개드립이 난무하는 댓글 읽어주는 기자들. 프로대댓글러 김기화; 적폐 타골 장인 정연욱; 목소리 미녀 마음은 더 미녀 옥유정; 영등포 요정 강병수; 강한 허리 홍성희 다섯 기자들이 만들어가는 본격 KBS 소통방송!
ValueCountFrequency (%)
7
 
2.2%
공식 4
 
1.3%
youtube 4
 
1.3%
채널 3
 
1.0%
채널입니다 3
 
1.0%
분명한 2
 
0.6%
beautiful 2
 
0.6%
입니다 2
 
0.6%
i 2
 
0.6%
종로여성인력개발센터는 2
 
0.6%
Other values (269) 281
90.1%
2023-12-10T23:05:47.888068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
17.7%
o 38
 
2.1%
e 35
 
2.0%
i 34
 
1.9%
. 30
 
1.7%
t 30
 
1.7%
a 25
 
1.4%
m 24
 
1.3%
u 22
 
1.2%
다 21
 
1.2%
Other values (341) 1210
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 869
48.7%
Lowercase Letter 386
21.6%
Space Separator 316
 
17.7%
Uppercase Letter 92
 
5.2%
Other Punctuation 78
 
4.4%
Decimal Number 22
 
1.2%
Close Punctuation 6
 
0.3%
Dash Punctuation 5
 
0.3%
Open Punctuation 3
 
0.2%
Math Symbol 2
 
0.1%
Other values (4) 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 21
 
2.4%
는 20
 
2.3%
기 19
 
2.2%
이 19
 
2.2%
하 17
 
2.0%
니 17
 
2.0%
로 15
 
1.7%
여 14
 
1.6%
보 13
 
1.5%
의 13
 
1.5%
Other values (269) 701
80.7%
Lowercase Letter
ValueCountFrequency (%)
o 38
 
9.8%
e 35
 
9.1%
i 34
 
8.8%
t 30
 
7.8%
a 25
 
6.5%
m 24
 
6.2%
u 22
 
5.7%
n 21
 
5.4%
l 20
 
5.2%
r 20
 
5.2%
Other values (14) 117
30.3%
Uppercase Letter
ValueCountFrequency (%)
E 11
 
12.0%
A 7
 
7.6%
T 7
 
7.6%
K 6
 
6.5%
I 6
 
6.5%
S 5
 
5.4%
B 5
 
5.4%
Y 5
 
5.4%
O 5
 
5.4%
P 4
 
4.3%
Other values (14) 31
33.7%
Other Punctuation
ValueCountFrequency (%)
. 30
38.5%
; 15
19.2%
: 14
17.9%
! 7
 
9.0%
· 4
 
5.1%
@ 4
 
5.1%
' 2
 
2.6%
? 2
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 7
31.8%
2 4
18.2%
1 4
18.2%
9 2
 
9.1%
3 2
 
9.1%
4 2
 
9.1%
8 1
 
4.5%
Space Separator
ValueCountFrequency (%)
316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 869
48.7%
Latin 478
26.8%
Common 438
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 21
 
2.4%
는 20
 
2.3%
기 19
 
2.2%
이 19
 
2.2%
하 17
 
2.0%
니 17
 
2.0%
로 15
 
1.7%
여 14
 
1.6%
보 13
 
1.5%
의 13
 
1.5%
Other values (269) 701
80.7%
Latin
ValueCountFrequency (%)
o 38
 
7.9%
e 35
 
7.3%
i 34
 
7.1%
t 30
 
6.3%
a 25
 
5.2%
m 24
 
5.0%
u 22
 
4.6%
n 21
 
4.4%
l 20
 
4.2%
r 20
 
4.2%
Other values (38) 209
43.7%
Common
ValueCountFrequency (%)
316
72.1%
. 30
 
6.8%
; 15
 
3.4%
: 14
 
3.2%
! 7
 
1.6%
0 7
 
1.6%
) 6
 
1.4%
- 5
 
1.1%
· 4
 
0.9%
2 4
 
0.9%
Other values (14) 30
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 908
50.9%
Hangul 869
48.7%
None 4
 
0.2%
Punctuation 3
 
0.2%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
34.8%
o 38
 
4.2%
e 35
 
3.9%
i 34
 
3.7%
. 30
 
3.3%
t 30
 
3.3%
a 25
 
2.8%
m 24
 
2.6%
u 22
 
2.4%
n 21
 
2.3%
Other values (58) 333
36.7%
Hangul
ValueCountFrequency (%)
다 21
 
2.4%
는 20
 
2.3%
기 19
 
2.2%
이 19
 
2.2%
하 17
 
2.0%
니 17
 
2.0%
로 15
 
1.7%
여 14
 
1.6%
보 13
 
1.5%
의 13
 
1.5%
Other values (269) 701
80.7%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
‘ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

생성일
Date

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2011-08-31 00:00:00
Maximum2019-04-23 00:00:00
2023-12-10T23:05:48.214489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:48.489217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

키워드
Text

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T23:05:48.760809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.88
Min length1

Characters and Unicode

Total characters47
Distinct characters32
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

Unique13 ?
Unique (%)52.0%

Sample

1st row앱
2nd row관광
3rd row정책
4th row여성
5th row자영업
ValueCountFrequency (%)
앱 4
16.0%
맛집 2
 
8.0%
여성 2
 
8.0%
행사 2
 
8.0%
먹방 2
 
8.0%
관광 1
 
4.0%
자영업 1
 
4.0%
축제 1
 
4.0%
카페 1
 
4.0%
대회 1
 
4.0%
Other values (8) 8
32.0%
2023-12-10T23:05:49.380842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
앱 4
 
8.5%
행 3
 
6.4%
여 3
 
6.4%
먹 2
 
4.3%
자 2
 
4.3%
사 2
 
4.3%
업 2
 
4.3%
성 2
 
4.3%
집 2
 
4.3%
맛 2
 
4.3%
Other values (22) 23
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앱 4
 
8.5%
행 3
 
6.4%
여 3
 
6.4%
먹 2
 
4.3%
자 2
 
4.3%
사 2
 
4.3%
업 2
 
4.3%
성 2
 
4.3%
집 2
 
4.3%
맛 2
 
4.3%
Other values (22) 23
48.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앱 4
 
8.5%
행 3
 
6.4%
여 3
 
6.4%
먹 2
 
4.3%
자 2
 
4.3%
사 2
 
4.3%
업 2
 
4.3%
성 2
 
4.3%
집 2
 
4.3%
맛 2
 
4.3%
Other values (22) 23
48.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
앱 4
 
8.5%
행 3
 
6.4%
여 3
 
6.4%
먹 2
 
4.3%
자 2
 
4.3%
사 2
 
4.3%
업 2
 
4.3%
성 2
 
4.3%
집 2
 
4.3%
맛 2
 
4.3%
Other values (22) 23
48.9%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.24
Minimum1
Maximum1092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:05:49.627335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q315
95-th percentile238.4
Maximum1092
Range1091
Interquartile range (IQR)14

Descriptive statistics

Standard deviation221.32297
Coefficient of variation (CV)3.3924428
Kurtosis21.433003
Mean65.24
Median Absolute Deviation (MAD)2
Skewness4.5455895
Sum1631
Variance48983.857
MonotonicityNot monotonic
2023-12-10T23:05:49.855668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 7
28.0%
2 5
20.0%
15 2
 
8.0%
5 2
 
8.0%
17 1
 
4.0%
3 1
 
4.0%
59 1
 
4.0%
282 1
 
4.0%
1092 1
 
4.0%
38 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
1 7
28.0%
2 5
20.0%
3 1
 
4.0%
5 2
 
8.0%
8 1
 
4.0%
11 1
 
4.0%
15 2
 
8.0%
17 1
 
4.0%
38 1
 
4.0%
59 1
 
4.0%
ValueCountFrequency (%)
1092 1
4.0%
282 1
4.0%
64 1
4.0%
59 1
4.0%
38 1
4.0%
17 1
4.0%
15 2
8.0%
11 1
4.0%
8 1
4.0%
5 2
8.0%

키워드중요도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.95664
Minimum0.356
Maximum774.363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T23:05:50.078447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.356
5-th percentile0.7002
Q11.064
median3.331
Q316.534
95-th percentile245.3718
Maximum774.363
Range774.007
Interquartile range (IQR)15.47

Descriptive statistics

Standard deviation161.16938
Coefficient of variation (CV)2.9870166
Kurtosis18.147849
Mean53.95664
Median Absolute Deviation (MAD)2.496
Skewness4.1371532
Sum1348.916
Variance25975.568
MonotonicityNot monotonic
2023-12-10T23:05:50.362546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14.529 1
 
4.0%
16.534 1
 
4.0%
20.421 1
 
4.0%
134.303 1
 
4.0%
4.807 1
 
4.0%
3.127 1
 
4.0%
0.356 1
 
4.0%
0.969 1
 
4.0%
31.722 1
 
4.0%
2.707 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
0.356 1
4.0%
0.698 1
4.0%
0.709 1
4.0%
0.835 1
4.0%
0.969 1
4.0%
0.994 1
4.0%
1.064 1
4.0%
1.611 1
4.0%
1.937 1
4.0%
2.189 1
4.0%
ValueCountFrequency (%)
774.363 1
4.0%
273.139 1
4.0%
134.303 1
4.0%
42.98 1
4.0%
31.722 1
4.0%
20.421 1
4.0%
16.534 1
4.0%
14.529 1
4.0%
8.122 1
4.0%
4.807 1
4.0%

Interactions

2023-12-10T23:05:43.520263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:43.235160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:43.686562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:43.388313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:05:50.567877image/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
생성일1.0001.0001.0001.0000.9561.0001.000
키워드1.0001.0001.0000.9561.0000.0000.000
키워드빈도1.0001.0001.0001.0000.0001.0001.000
키워드중요도1.0001.0001.0001.0000.0001.0001.000
2023-12-10T23:05:50.741871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.957
키워드중요도0.9571.000

Missing values

2023-12-10T23:05:43.908374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:05:44.109489image/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.

Sample

채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
0UCoppgM9wcJl6Yys08-MOeGg새벽2021-02-01dawn lee2014-02-04앱1514.529
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5UCKrhdGv0KuMwFejjCp5JZIg독립기념관 The Independence Hall of Korea2021-02-01<NA>2011-08-31축제21.611
6UCjWsJi8uTaJJTm8q4ikDyeQ관광보은2021-02-01<NA>2016-09-23행사53.488
7UCEBN79bwwYNfRWcYYUzrkcwSechi2021-02-01Fan Community(kor) : Shelter.idnunggom2015-07-10카페21.064
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20UCIwrzpUgafk5ZD14BaSVdGQ선비방송2021-02-01<NA>2013-07-22여행10.356
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24UCF7DOJqnpKrEn6FGVXTobVA녹색사업단2021-02-01<NA>2014-11-25자금1120.421