Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells14
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory82.4 B

Variable types

Text2
Categorical1
Numeric6

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/5a33269c-ff59-4425-93a4-a5a778eaa265

Alerts

이용자활동평가생성기간 has constant value ""Constant
이용자활동평가채널조회수 is highly overall correlated with 이용자활동평가구독자수High correlation
이용자활동평가구독자수 is highly overall correlated with 이용자활동평가채널조회수High correlation
이용자활동평가영상조회수 is highly overall correlated with 수High correlation
이용자활동평가긍정평가비율 is highly overall correlated with 이용자활동평가부정평가비율High correlation
이용자활동평가부정평가비율 is highly overall correlated with 이용자활동평가긍정평가비율High correlation
수 is highly overall correlated with 이용자활동평가영상조회수High correlation
이용자활동평가긍정평가비율 has 7 (23.3%) missing valuesMissing
이용자활동평가부정평가비율 has 7 (23.3%) missing valuesMissing
이용자활동평가영상ID has unique valuesUnique
이용자활동평가구독자수 has 1 (3.3%) zerosZeros
이용자활동평가부정평가비율 has 8 (26.7%) zerosZeros
수 has 14 (46.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:08:17.671561
Analysis finished2023-12-10 14:08:25.796601
Duration8.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용자활동평가채널ID
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:08:26.184144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1680
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st rowhttps://www.youtube.com/channel/UCFL1sCAksD6_7JIZwwHcwjQ
2nd rowhttps://www.youtube.com/channel/UCqiJGIDcS2CL48AOXAAqfjg
3rd rowhttps://www.youtube.com/channel/UCqycfhzA4ye5yYHRvj1cuYA
4th rowhttps://www.youtube.com/channel/UCXXA3M3rNQ1NTJZyUJOekPw
5th rowhttps://www.youtube.com/channel/UCTkui-4wvMLxfSSJo7MIKaQ
ValueCountFrequency (%)
https://www.youtube.com/channel/ucazs_xwau1ybmnoqdd1mr7g 2
 
6.7%
https://www.youtube.com/channel/uc7lb15p-hux7a5gbuhcxtuq 2
 
6.7%
https://www.youtube.com/channel/uchpjiaegwtdztmwekzfulsa 2
 
6.7%
https://www.youtube.com/channel/uc76dvyqgvirxmxfqn_3ysia 1
 
3.3%
https://www.youtube.com/channel/ucfl1scaksd6_7jizwwhcwjq 1
 
3.3%
https://www.youtube.com/channel/uczcd2iyy55-skebv3tcmzrg 1
 
3.3%
https://www.youtube.com/channel/uccq9w9rg51vzxwpxlnb04mq 1
 
3.3%
https://www.youtube.com/channel/ucsivyoihig37e96lkg-xhaw 1
 
3.3%
https://www.youtube.com/channel/uc4xjkgctpwpaczuciukod3q 1
 
3.3%
https://www.youtube.com/channel/ucwlv3lz_55uax4jsmj-z__q 1
 
3.3%
Other values (17) 17
56.7%
2023-12-10T23:08:26.977933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 103
 
6.1%
u 79
 
4.7%
c 72
 
4.3%
e 69
 
4.1%
o 68
 
4.0%
h 68
 
4.0%
n 63
 
3.8%
. 60
 
3.6%
Other values (57) 866
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1037
61.7%
Uppercase Letter 330
 
19.6%
Other Punctuation 210
 
12.5%
Decimal Number 81
 
4.8%
Dash Punctuation 11
 
0.7%
Connector Punctuation 11
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 112
 
10.8%
t 103
 
9.9%
u 79
 
7.6%
c 72
 
6.9%
e 69
 
6.7%
o 68
 
6.6%
h 68
 
6.6%
n 63
 
6.1%
m 45
 
4.3%
a 43
 
4.1%
Other values (16) 315
30.4%
Uppercase Letter
ValueCountFrequency (%)
C 41
 
12.4%
U 37
 
11.2%
A 21
 
6.4%
J 16
 
4.8%
Z 14
 
4.2%
X 14
 
4.2%
Q 14
 
4.2%
D 14
 
4.2%
I 13
 
3.9%
O 13
 
3.9%
Other values (16) 133
40.3%
Decimal Number
ValueCountFrequency (%)
5 14
17.3%
1 12
14.8%
7 11
13.6%
4 9
11.1%
3 7
8.6%
8 7
8.6%
2 6
7.4%
0 5
 
6.2%
6 5
 
6.2%
9 5
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1367
81.4%
Common 313
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 112
 
8.2%
t 103
 
7.5%
u 79
 
5.8%
c 72
 
5.3%
e 69
 
5.0%
o 68
 
5.0%
h 68
 
5.0%
n 63
 
4.6%
m 45
 
3.3%
a 43
 
3.1%
Other values (42) 645
47.2%
Common
ValueCountFrequency (%)
/ 120
38.3%
. 60
19.2%
: 30
 
9.6%
5 14
 
4.5%
1 12
 
3.8%
- 11
 
3.5%
7 11
 
3.5%
_ 11
 
3.5%
4 9
 
2.9%
3 7
 
2.2%
Other values (5) 28
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 103
 
6.1%
u 79
 
4.7%
c 72
 
4.3%
e 69
 
4.1%
o 68
 
4.0%
h 68
 
4.0%
n 63
 
3.8%
. 60
 
3.6%
Other values (57) 866
51.5%

이용자활동평가영상ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:08:27.421455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/watch?v=V_sfhoQ3bKY
2nd rowhttps://www.youtube.com/watch?v=d2ZmUeuBY-A
3rd rowhttps://www.youtube.com/watch?v=PkWYVYYtYJU
4th rowhttps://www.youtube.com/watch?v=IgISADyXaKI
5th rowhttps://www.youtube.com/watch?v=-w8LgmYXKlM
ValueCountFrequency (%)
https://www.youtube.com/watch?v=v_sfhoq3bky 1
 
3.3%
https://www.youtube.com/watch?v=d2zmueuby-a 1
 
3.3%
https://www.youtube.com/watch?v=gckay0gvdee 1
 
3.3%
https://www.youtube.com/watch?v=4mhw_7dqulw 1
 
3.3%
https://www.youtube.com/watch?v=wupnhikoqdc 1
 
3.3%
https://www.youtube.com/watch?v=rclsdc6zlji 1
 
3.3%
https://www.youtube.com/watch?v=lvjaaay_6fe 1
 
3.3%
https://www.youtube.com/watch?v=dpju6fddldm 1
 
3.3%
https://www.youtube.com/watch?v=r_c54kmklqa 1
 
3.3%
https://www.youtube.com/watch?v=33mwnbnn8mm 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:08:28.051604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 126
 
9.8%
t 123
 
9.5%
/ 90
 
7.0%
u 69
 
5.3%
h 67
 
5.2%
o 67
 
5.2%
c 67
 
5.2%
. 60
 
4.7%
y 37
 
2.9%
p 36
 
2.8%
Other values (58) 548
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 855
66.3%
Other Punctuation 210
 
16.3%
Uppercase Letter 139
 
10.8%
Decimal Number 44
 
3.4%
Math Symbol 30
 
2.3%
Connector Punctuation 7
 
0.5%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 126
14.7%
t 123
14.4%
u 69
 
8.1%
h 67
 
7.8%
o 67
 
7.8%
c 67
 
7.8%
y 37
 
4.3%
p 36
 
4.2%
m 35
 
4.1%
a 35
 
4.1%
Other values (16) 193
22.6%
Uppercase Letter
ValueCountFrequency (%)
Y 15
 
10.8%
A 14
 
10.1%
E 10
 
7.2%
K 8
 
5.8%
L 7
 
5.0%
D 7
 
5.0%
V 7
 
5.0%
G 6
 
4.3%
M 6
 
4.3%
X 6
 
4.3%
Other values (15) 53
38.1%
Decimal Number
ValueCountFrequency (%)
2 5
11.4%
6 5
11.4%
8 5
11.4%
4 5
11.4%
9 5
11.4%
3 5
11.4%
0 5
11.4%
1 3
6.8%
7 3
6.8%
5 3
6.8%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
? 30
 
14.3%
: 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 994
77.1%
Common 296
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 126
 
12.7%
t 123
 
12.4%
u 69
 
6.9%
h 67
 
6.7%
o 67
 
6.7%
c 67
 
6.7%
y 37
 
3.7%
p 36
 
3.6%
m 35
 
3.5%
a 35
 
3.5%
Other values (41) 332
33.4%
Common
ValueCountFrequency (%)
/ 90
30.4%
. 60
20.3%
= 30
 
10.1%
? 30
 
10.1%
: 30
 
10.1%
_ 7
 
2.4%
2 5
 
1.7%
6 5
 
1.7%
8 5
 
1.7%
4 5
 
1.7%
Other values (7) 29
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 126
 
9.8%
t 123
 
9.5%
/ 90
 
7.0%
u 69
 
5.3%
h 67
 
5.2%
o 67
 
5.2%
c 67
 
5.2%
. 60
 
4.7%
y 37
 
2.9%
p 36
 
2.8%
Other values (58) 548
42.5%

이용자활동평가생성기간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-08-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-01
2nd row2021-08-01
3rd row2021-08-01
4th row2021-08-01
5th row2021-08-01

Common Values

ValueCountFrequency (%)
2021-08-01 30
100.0%

Length

2023-12-10T23:08:28.277397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:08:28.470691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-01 30
100.0%

이용자활동평가채널조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3899097 × 109
Minimum32843
Maximum9.6533282 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:28.778591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32843
5-th percentile165991.75
Q113290025
median1.4158551 × 108
Q31.8637156 × 109
95-th percentile5.3192207 × 109
Maximum9.6533282 × 109
Range9.6532954 × 109
Interquartile range (IQR)1.8504255 × 109

Descriptive statistics

Standard deviation2.365677 × 109
Coefficient of variation (CV)1.7020365
Kurtosis4.0975776
Mean1.3899097 × 109
Median Absolute Deviation (MAD)1.413613 × 108
Skewness2.0365259
Sum4.169729 × 1010
Variance5.5964276 × 1018
MonotonicityNot monotonic
2023-12-10T23:08:29.009278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4237905610 2
 
6.7%
2003029686 2
 
6.7%
4880209421 2
 
6.7%
9653328194 1
 
3.3%
238792 1
 
3.3%
52800793 1
 
3.3%
9726355 1
 
3.3%
132847931 1
 
3.3%
666991510 1
 
3.3%
130291 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
32843 1
3.3%
130291 1
3.3%
209626 1
3.3%
238792 1
3.3%
1442765 1
3.3%
9726355 1
3.3%
11293736 1
3.3%
11698108 1
3.3%
18065777 1
3.3%
20034641 1
3.3%
ValueCountFrequency (%)
9653328194 1
3.3%
5678411810 1
3.3%
4880209421 2
6.7%
4237905610 2
6.7%
2003029686 2
6.7%
1445773173 1
3.3%
666991510 1
3.3%
551571707 1
3.3%
512279861 1
3.3%
259790271 1
3.3%

이용자활동평가구독자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1300264.1
Minimum0
Maximum6820000
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:29.187589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile189.85
Q133400
median228000
Q31750000
95-th percentile4915000
Maximum6820000
Range6820000
Interquartile range (IQR)1716600

Descriptive statistics

Standard deviation1874542
Coefficient of variation (CV)1.4416625
Kurtosis1.6811293
Mean1300264.1
Median Absolute Deviation (MAD)227794.5
Skewness1.5848721
Sum39007922
Variance3.5139076 × 1012
MonotonicityNot monotonic
2023-12-10T23:08:29.396885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3470000 2
 
6.7%
1750000 2
 
6.7%
4310000 2
 
6.7%
6820000 1
 
3.3%
1730 1
 
3.3%
171000 1
 
3.3%
17100 1
 
3.3%
210000 1
 
3.3%
909000 1
 
3.3%
801 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 1
3.3%
49 1
3.3%
362 1
3.3%
801 1
3.3%
1730 1
3.3%
1980 1
3.3%
17100 1
3.3%
28900 1
3.3%
46900 1
3.3%
67100 1
3.3%
ValueCountFrequency (%)
6820000 1
3.3%
5410000 1
3.3%
4310000 2
6.7%
3470000 2
6.7%
2240000 1
3.3%
1750000 2
6.7%
1440000 1
3.3%
909000 1
3.3%
861000 1
3.3%
711000 1
3.3%

이용자활동평가영상조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72866.233
Minimum4
Maximum1556491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:29.590549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile19.45
Q1119.75
median1249
Q310496.75
95-th percentile177086.75
Maximum1556491
Range1556487
Interquartile range (IQR)10377

Descriptive statistics

Standard deviation284591.67
Coefficient of variation (CV)3.9056728
Kurtosis27.999243
Mean72866.233
Median Absolute Deviation (MAD)1229.5
Skewness5.2251764
Sum2185987
Variance8.0992417 × 1010
MonotonicityNot monotonic
2023-12-10T23:08:29.814618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
109 2
 
6.7%
1556491 1
 
3.3%
4 1
 
3.3%
7296 1
 
3.3%
11052 1
 
3.3%
173 1
 
3.3%
2706 1
 
3.3%
90 1
 
3.3%
29768 1
 
3.3%
925 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
4 1
3.3%
19 1
3.3%
20 1
3.3%
51 1
3.3%
89 1
3.3%
90 1
3.3%
109 2
6.7%
152 1
3.3%
173 1
3.3%
434 1
3.3%
ValueCountFrequency (%)
1556491 1
3.3%
196772 1
3.3%
153027 1
3.3%
139783 1
3.3%
48011 1
3.3%
29768 1
3.3%
14868 1
3.3%
11052 1
3.3%
8831 1
3.3%
7296 1
3.3%

이용자활동평가긍정평가비율
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)56.5%
Missing7
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean93.782609
Minimum66.1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:30.008928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.1
5-th percentile67.53
Q194.6
median98.1
Q3100
95-th percentile100
Maximum100
Range33.9
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation10.332942
Coefficient of variation (CV)0.11017972
Kurtosis3.1752139
Mean93.782609
Median Absolute Deviation (MAD)1.9
Skewness-2.0489301
Sum2157
Variance106.76968
MonotonicityNot monotonic
2023-12-10T23:08:30.199270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
100.0 8
26.7%
88.9 2
 
6.7%
96.6 2
 
6.7%
98.1 2
 
6.7%
99.7 1
 
3.3%
75.0 1
 
3.3%
66.7 1
 
3.3%
97.2 1
 
3.3%
98.2 1
 
3.3%
93.3 1
 
3.3%
Other values (3) 3
 
10.0%
(Missing) 7
23.3%
ValueCountFrequency (%)
66.1 1
3.3%
66.7 1
3.3%
75.0 1
3.3%
88.9 2
6.7%
93.3 1
3.3%
95.9 1
3.3%
96.6 2
6.7%
97.2 1
3.3%
97.7 1
3.3%
98.1 2
6.7%
ValueCountFrequency (%)
100.0 8
26.7%
99.7 1
 
3.3%
98.2 1
 
3.3%
98.1 2
 
6.7%
97.7 1
 
3.3%
97.2 1
 
3.3%
96.6 2
 
6.7%
95.9 1
 
3.3%
93.3 1
 
3.3%
88.9 2
 
6.7%

이용자활동평가부정평가비율
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct13
Distinct (%)56.5%
Missing7
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean6.2173913
Minimum0
Maximum33.9
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:30.376037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.9
Q35.4
95-th percentile32.47
Maximum33.9
Range33.9
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation10.332942
Coefficient of variation (CV)1.6619417
Kurtosis3.1752139
Mean6.2173913
Median Absolute Deviation (MAD)1.9
Skewness2.0489301
Sum143
Variance106.76968
MonotonicityNot monotonic
2023-12-10T23:08:30.582932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 8
26.7%
11.1 2
 
6.7%
3.4 2
 
6.7%
1.9 2
 
6.7%
0.3 1
 
3.3%
25.0 1
 
3.3%
33.3 1
 
3.3%
2.8 1
 
3.3%
1.8 1
 
3.3%
6.7 1
 
3.3%
Other values (3) 3
 
10.0%
(Missing) 7
23.3%
ValueCountFrequency (%)
0.0 8
26.7%
0.3 1
 
3.3%
1.8 1
 
3.3%
1.9 2
 
6.7%
2.3 1
 
3.3%
2.8 1
 
3.3%
3.4 2
 
6.7%
4.1 1
 
3.3%
6.7 1
 
3.3%
11.1 2
 
6.7%
ValueCountFrequency (%)
33.9 1
3.3%
33.3 1
3.3%
25.0 1
3.3%
11.1 2
6.7%
6.7 1
3.3%
4.1 1
3.3%
3.4 2
6.7%
2.8 1
3.3%
2.3 1
3.3%
1.9 2
6.7%

수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.433333
Minimum0
Maximum701
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:08:30.749369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q310.5
95-th percentile294.3
Maximum701
Range701
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation147.36763
Coefficient of variation (CV)2.658466
Kurtosis12.972277
Mean55.433333
Median Absolute Deviation (MAD)1.5
Skewness3.4411487
Sum1663
Variance21717.22
MonotonicityNot monotonic
2023-12-10T23:08:30.931677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 14
46.7%
6 2
 
6.7%
2 2
 
6.7%
3 2
 
6.7%
701 1
 
3.3%
27 1
 
3.3%
291 1
 
3.3%
5 1
 
3.3%
297 1
 
3.3%
232 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 14
46.7%
1 1
 
3.3%
2 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
12 1
 
3.3%
27 1
 
3.3%
32 1
 
3.3%
43 1
 
3.3%
ValueCountFrequency (%)
701 1
3.3%
297 1
3.3%
291 1
3.3%
232 1
3.3%
43 1
3.3%
32 1
3.3%
27 1
3.3%
12 1
3.3%
6 2
6.7%
5 1
3.3%

Interactions

2023-12-10T23:08:24.349536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:18.166389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:19.346580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:20.819847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:22.349516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.365130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.487329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:18.419211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:19.643095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:20.971009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:22.580823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.533258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.666834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:18.610788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:19.801306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:21.201229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:22.721260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.731948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.813692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:18.784343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:19.959954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:21.450390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:22.873541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.903735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.971797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:18.974780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:20.114340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:21.825793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.024940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.058773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:25.132370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:19.184612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:20.648601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:22.123478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:23.166878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:08:24.205673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:08:31.093804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가채널ID이용자활동평가영상ID이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가채널ID1.0001.0001.0001.0001.0000.8860.8861.000
이용자활동평가영상ID1.0001.0001.0001.0001.0001.0001.0001.000
이용자활동평가채널조회수1.0001.0001.0000.9410.9080.0000.0000.633
이용자활동평가구독자수1.0001.0000.9411.0001.0000.0000.0000.944
이용자활동평가영상조회수1.0001.0000.9081.0001.0000.0000.0000.785
이용자활동평가긍정평가비율0.8861.0000.0000.0000.0001.0001.0000.000
이용자활동평가부정평가비율0.8861.0000.0000.0000.0001.0001.0000.000
수1.0001.0000.6330.9440.7850.0000.0001.000
2023-12-10T23:08:31.681930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가채널조회수1.0000.9680.3400.116-0.1160.240
이용자활동평가구독자수0.9681.0000.4140.130-0.1300.335
이용자활동평가영상조회수0.3400.4141.000-0.3860.3860.753
이용자활동평가긍정평가비율0.1160.130-0.3861.000-1.000-0.223
이용자활동평가부정평가비율-0.116-0.1300.386-1.0001.0000.223
수0.2400.3350.753-0.2230.2231.000

Missing values

2023-12-10T23:08:25.333122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:08:25.555208image/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.
2023-12-10T23:08:25.722374image/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

이용자활동평가채널ID이용자활동평가영상ID이용자활동평가생성기간이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
0https://www.youtube.com/channel/UCFL1sCAksD6_7JIZwwHcwjQhttps://www.youtube.com/watch?v=V_sfhoQ3bKY2021-08-0196533281946820000155649199.70.3701
1https://www.youtube.com/channel/UCqiJGIDcS2CL48AOXAAqfjghttps://www.youtube.com/watch?v=d2ZmUeuBY-A2021-08-012096261980109<NA><NA>0
2https://www.youtube.com/channel/UCqycfhzA4ye5yYHRvj1cuYAhttps://www.youtube.com/watch?v=PkWYVYYtYJU2021-08-01144276536279575.025.00
3https://www.youtube.com/channel/UCXXA3M3rNQ1NTJZyUJOekPwhttps://www.youtube.com/watch?v=IgISADyXaKI2021-08-0118065777671001486888.911.127
4https://www.youtube.com/channel/UCTkui-4wvMLxfSSJo7MIKaQhttps://www.youtube.com/watch?v=-w8LgmYXKlM2021-08-011503230822460004801166.733.30
5https://www.youtube.com/channel/UCtftOV8ehYjzkIYwlok-exwhttps://www.youtube.com/watch?v=Oqg_br6S-142021-08-01464483914690020<NA><NA>0
6https://www.youtube.com/channel/UCmOmhm_p0UEwcPkAmotX8RQhttps://www.youtube.com/watch?v=DgrQfI9VpHE2021-08-012003464111700089100.00.00
7https://www.youtube.com/channel/UCrZpcsm1OVzHRJswMxJ2lzghttps://www.youtube.com/watch?v=KhhFheV2EVk2021-08-013060165218300015302796.63.4291
8https://www.youtube.com/channel/UC7lb15P-Hux7A5gBuhCxtuQhttps://www.youtube.com/watch?v=8aApyEzXVeY2021-08-01488020942143100001175100.00.00
9https://www.youtube.com/channel/UC6erIDuvbOaAO-OT5rB2Xewhttps://www.youtube.com/watch?v=GBwtbhyi_Ag2021-08-0156784118105410000544997.22.85
이용자활동평가채널ID이용자활동평가영상ID이용자활동평가생성기간이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
20https://www.youtube.com/channel/UCYyLIlOJyqkAFKlVjzX5imghttps://www.youtube.com/watch?v=kA3E1y8GtAY2021-08-0114457731731440000152<NA><NA>0
21https://www.youtube.com/channel/UCKbqO2JE08aVPVu4U5xfBowhttps://www.youtube.com/watch?v=33MWnBnN8mM2021-08-01130291801109100.00.03
22https://www.youtube.com/channel/UCWlV3Lz_55UaX4JsMj-z__Qhttps://www.youtube.com/watch?v=r_C54KmkLQA2021-08-01666991510909000925100.00.06
23https://www.youtube.com/channel/UC4XjKgCtpwpACzUCiUKOd3Qhttps://www.youtube.com/watch?v=dpJu6fddlDM2021-08-0113284793121000029768<NA><NA>32
24https://www.youtube.com/channel/UCaZS_XwAu1yBMNoQDD1mR7ghttps://www.youtube.com/watch?v=LvJAAaY_6FE2021-08-012003029686175000090100.00.00
25https://www.youtube.com/channel/UCsIvYoihIg37E96LkG-XHAwhttps://www.youtube.com/watch?v=RClsdc6ZLjI2021-08-019726355171002706100.00.00
26https://www.youtube.com/channel/UC7lb15P-Hux7A5gBuhCxtuQhttps://www.youtube.com/watch?v=wUPNhiKoqDc2021-08-0148802094214310000173100.00.00
27https://www.youtube.com/channel/UCaZS_XwAu1yBMNoQDD1mR7ghttps://www.youtube.com/watch?v=4mhW_7Dqulw2021-08-01200302968617500001105266.133.943
28https://www.youtube.com/channel/UCCq9w9rG51vZxWPxLNB04mQhttps://www.youtube.com/watch?v=GCkAY0GvDEE2021-08-01528007931710007296100.00.03
29https://www.youtube.com/channel/UCaZBVuz9Gp1l8tg-VTwRiKghttps://www.youtube.com/watch?v=l9KFawi5ELQ2021-08-0123879217304<NA><NA>0