Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells4
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory82.4 B

Variable types

Text2
DateTime1
Numeric6

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/234445b0-11db-4f97-a255-9ef3fb315613

Alerts

이용자활동평가생성기간 has constant value ""Constant
이용자활동평가채널조회수 is highly overall correlated with 이용자활동평가구독자수 and 1 other fieldsHigh correlation
이용자활동평가구독자수 is highly overall correlated with 이용자활동평가채널조회수 and 1 other fieldsHigh correlation
이용자활동평가영상조회수 is highly overall correlated with 이용자활동평가채널조회수 and 4 other fieldsHigh correlation
이용자활동평가긍정평가비율 is highly overall correlated with 이용자활동평가영상조회수 and 1 other fieldsHigh correlation
이용자활동평가부정평가비율 is highly overall correlated with 이용자활동평가영상조회수 and 1 other fieldsHigh correlation
수 is highly overall correlated with 이용자활동평가영상조회수High correlation
이용자활동평가긍정평가비율 has 2 (6.7%) missing valuesMissing
이용자활동평가부정평가비율 has 2 (6.7%) missing valuesMissing
이용자활동평가채널ID has unique valuesUnique
이용자활동평가영상ID has unique valuesUnique
이용자활동평가채널조회수 has unique valuesUnique
이용자활동평가구독자수 has unique valuesUnique
이용자활동평가영상조회수 has unique valuesUnique
이용자활동평가부정평가비율 has 8 (26.7%) zerosZeros
수 has 6 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:06:14.066853
Analysis finished2023-12-10 14:06:20.802780
Duration6.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용자활동평가채널ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:06:21.156206image/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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UCYyLIlOJyqkAFKlVjzX5img
2nd rowhttps://www.youtube.com/channel/UCjPqSbyqm5IZEoXu7I-KPag
3rd rowhttps://www.youtube.com/channel/UCFCtZJTuJhE18k8IXwmXTYQ
4th rowhttps://www.youtube.com/channel/UCnekqR3rSkIG_8oUQQ3TtsQ
5th rowhttps://www.youtube.com/channel/UClDbuB3bgZYVIaN3534c_ew
ValueCountFrequency (%)
https://www.youtube.com/channel/ucyylilojyqkafklvjzx5img 1
 
3.3%
https://www.youtube.com/channel/ucjpqsbyqm5izeoxu7i-kpag 1
 
3.3%
https://www.youtube.com/channel/ucl_tb4aqpkkxuycjqhz6dmw 1
 
3.3%
https://www.youtube.com/channel/ucl402yyy7rch7pbi3npmgpq 1
 
3.3%
https://www.youtube.com/channel/ucoaesn82xnwtinrhvw3n26w 1
 
3.3%
https://www.youtube.com/channel/uctyaktwx8hfz8gm4fqljdvq 1
 
3.3%
https://www.youtube.com/channel/uctcnncun9iddqru9_04jd3g 1
 
3.3%
https://www.youtube.com/channel/uckinyts9ihqoewr1sze2jtw 1
 
3.3%
https://www.youtube.com/channel/ucfm_07mxv6cglrek8qdkpaw 1
 
3.3%
https://www.youtube.com/channel/ucn3rfsr18gsh8pli6r6pysq 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:06:21.964039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 104
 
6.2%
n 75
 
4.5%
u 71
 
4.2%
h 67
 
4.0%
c 67
 
4.0%
e 66
 
3.9%
o 65
 
3.9%
. 60
 
3.6%
Other values (57) 873
52.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1015
60.4%
Uppercase Letter 331
 
19.7%
Other Punctuation 210
 
12.5%
Decimal Number 102
 
6.1%
Connector Punctuation 16
 
1.0%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 112
 
11.0%
t 104
 
10.2%
n 75
 
7.4%
u 71
 
7.0%
h 67
 
6.6%
c 67
 
6.6%
e 66
 
6.5%
o 65
 
6.4%
m 45
 
4.4%
l 42
 
4.1%
Other values (16) 301
29.7%
Uppercase Letter
ValueCountFrequency (%)
C 39
 
11.8%
U 38
 
11.5%
I 20
 
6.0%
A 16
 
4.8%
Q 16
 
4.8%
P 15
 
4.5%
T 15
 
4.5%
Z 14
 
4.2%
S 13
 
3.9%
L 12
 
3.6%
Other values (16) 133
40.2%
Decimal Number
ValueCountFrequency (%)
7 15
14.7%
3 13
12.7%
6 12
11.8%
4 11
10.8%
2 10
9.8%
8 10
9.8%
9 9
8.8%
1 9
8.8%
5 7
6.9%
0 6
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1346
80.1%
Common 334
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 112
 
8.3%
t 104
 
7.7%
n 75
 
5.6%
u 71
 
5.3%
h 67
 
5.0%
c 67
 
5.0%
e 66
 
4.9%
o 65
 
4.8%
m 45
 
3.3%
l 42
 
3.1%
Other values (42) 632
47.0%
Common
ValueCountFrequency (%)
/ 120
35.9%
. 60
18.0%
: 30
 
9.0%
_ 16
 
4.8%
7 15
 
4.5%
3 13
 
3.9%
6 12
 
3.6%
4 11
 
3.3%
2 10
 
3.0%
8 10
 
3.0%
Other values (5) 37
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
w 112
 
6.7%
t 104
 
6.2%
n 75
 
4.5%
u 71
 
4.2%
h 67
 
4.0%
c 67
 
4.0%
e 66
 
3.9%
o 65
 
3.9%
. 60
 
3.6%
Other values (57) 873
52.0%

이용자활동평가영상ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:06:22.409529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length43
Mean length43
Min length43

Characters and Unicode

Total characters1290
Distinct characters69
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_DOJhjG2_4
2nd rowhttps://www.youtube.com/watch?v=bOXHdMscVm8
3rd rowhttps://www.youtube.com/watch?v=4yJ3Gc02YRw
4th rowhttps://www.youtube.com/watch?v=pHgnL3jIft8
5th rowhttps://www.youtube.com/watch?v=EetzlsBLTcI
ValueCountFrequency (%)
https://www.youtube.com/watch?v=v_dojhjg2_4 1
 
3.3%
https://www.youtube.com/watch?v=boxhdmscvm8 1
 
3.3%
https://www.youtube.com/watch?v=pq4yjcbngmo 1
 
3.3%
https://www.youtube.com/watch?v=ohzdydoshvu 1
 
3.3%
https://www.youtube.com/watch?v=x-yp5f2jyt4 1
 
3.3%
https://www.youtube.com/watch?v=xjweroep2s8 1
 
3.3%
https://www.youtube.com/watch?v=orav7tgk8lc 1
 
3.3%
https://www.youtube.com/watch?v=er9zuzcmng8 1
 
3.3%
https://www.youtube.com/watch?v=is-lcmsk8ts 1
 
3.3%
https://www.youtube.com/watch?v=2n-bbmmmdzq 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:06:23.020597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 128
 
9.9%
w 124
 
9.6%
/ 90
 
7.0%
c 70
 
5.4%
o 67
 
5.2%
u 63
 
4.9%
h 63
 
4.9%
. 60
 
4.7%
p 37
 
2.9%
s 36
 
2.8%
Other values (59) 552
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 847
65.7%
Other Punctuation 210
 
16.3%
Uppercase Letter 138
 
10.7%
Decimal Number 54
 
4.2%
Math Symbol 30
 
2.3%
Dash Punctuation 6
 
0.5%
Connector Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 128
15.1%
w 124
14.6%
c 70
 
8.3%
o 67
 
7.9%
u 63
 
7.4%
h 63
 
7.4%
p 37
 
4.4%
s 36
 
4.3%
m 36
 
4.3%
y 35
 
4.1%
Other values (16) 188
22.2%
Uppercase Letter
ValueCountFrequency (%)
M 12
 
8.7%
J 8
 
5.8%
X 7
 
5.1%
Q 6
 
4.3%
S 6
 
4.3%
T 6
 
4.3%
B 6
 
4.3%
A 6
 
4.3%
N 6
 
4.3%
L 6
 
4.3%
Other values (16) 69
50.0%
Decimal Number
ValueCountFrequency (%)
8 12
22.2%
2 9
16.7%
3 7
13.0%
0 6
11.1%
4 6
11.1%
5 5
9.3%
9 4
 
7.4%
6 2
 
3.7%
7 2
 
3.7%
1 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 90
42.9%
. 60
28.6%
? 30
 
14.3%
: 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 985
76.4%
Common 305
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 128
 
13.0%
w 124
 
12.6%
c 70
 
7.1%
o 67
 
6.8%
u 63
 
6.4%
h 63
 
6.4%
p 37
 
3.8%
s 36
 
3.7%
m 36
 
3.7%
y 35
 
3.6%
Other values (42) 326
33.1%
Common
ValueCountFrequency (%)
/ 90
29.5%
. 60
19.7%
= 30
 
9.8%
? 30
 
9.8%
: 30
 
9.8%
8 12
 
3.9%
2 9
 
3.0%
3 7
 
2.3%
- 6
 
2.0%
0 6
 
2.0%
Other values (7) 25
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 128
 
9.9%
w 124
 
9.6%
/ 90
 
7.0%
c 70
 
5.4%
o 67
 
5.2%
u 63
 
4.9%
h 63
 
4.9%
. 60
 
4.7%
p 37
 
2.9%
s 36
 
2.8%
Other values (59) 552
42.8%

이용자활동평가생성기간
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-06-01 00:00:00
Maximum2021-06-01 00:00:00
2023-12-10T23:06:23.250328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:23.476937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

이용자활동평가채널조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0482731 × 108
Minimum10016
Maximum6.3454691 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:23.695382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10016
5-th percentile401887.8
Q117438923
median1.5469412 × 108
Q36.3227967 × 108
95-th percentile3.0277311 × 109
Maximum6.3454691 × 109
Range6.3454591 × 109
Interquartile range (IQR)6.1484075 × 108

Descriptive statistics

Standard deviation1.3495319 × 109
Coefficient of variation (CV)1.9146986
Kurtosis10.681891
Mean7.0482731 × 108
Median Absolute Deviation (MAD)1.5411577 × 108
Skewness3.0913735
Sum2.1144819 × 1010
Variance1.8212363 × 1018
MonotonicityNot monotonic
2023-12-10T23:06:23.917803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1364552351 1
 
3.3%
249257985 1
 
3.3%
71460194 1
 
3.3%
1133963780 1
 
3.3%
727210975 1
 
3.3%
266697 1
 
3.3%
82202779 1
 
3.3%
342486885 1
 
3.3%
2319235498 1
 
3.3%
163356799 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
10016 1
3.3%
266697 1
3.3%
567121 1
3.3%
589592 1
3.3%
745688 1
3.3%
1728680 1
3.3%
6279886 1
3.3%
14053589 1
3.3%
27594925 1
3.3%
64282463 1
3.3%
ValueCountFrequency (%)
6345469127 1
3.3%
3607409343 1
3.3%
2319235498 1
3.3%
1983713053 1
3.3%
1364552351 1
3.3%
1133963780 1
3.3%
727210975 1
3.3%
632565186 1
3.3%
631423140 1
3.3%
474583120 1
3.3%

이용자활동평가구독자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean987155.3
Minimum112
Maximum5670000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:24.139956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum112
5-th percentile2054.35
Q138125
median275000
Q31265000
95-th percentile5299000
Maximum5670000
Range5669888
Interquartile range (IQR)1226875

Descriptive statistics

Standard deviation1612815.2
Coefficient of variation (CV)1.6338008
Kurtosis4.0988675
Mean987155.3
Median Absolute Deviation (MAD)269750
Skewness2.2204548
Sum29614659
Variance2.6011727 × 1012
MonotonicityNot monotonic
2023-12-10T23:06:24.332528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1350000 1
 
3.3%
427000 1
 
3.3%
180000 1
 
3.3%
1510000 1
 
3.3%
504000 1
 
3.3%
937 1
 
3.3%
649000 1
 
3.3%
1010000 1
 
3.3%
1490000 1
 
3.3%
176000 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
112 1
3.3%
937 1
3.3%
3420 1
3.3%
3930 1
3.3%
6570 1
3.3%
9990 1
3.3%
14700 1
3.3%
29600 1
3.3%
63700 1
3.3%
87700 1
3.3%
ValueCountFrequency (%)
5670000 1
3.3%
5560000 1
3.3%
4980000 1
3.3%
2210000 1
3.3%
1690000 1
3.3%
1510000 1
3.3%
1490000 1
3.3%
1350000 1
3.3%
1010000 1
3.3%
649000 1
3.3%

이용자활동평가영상조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228806.67
Minimum17
Maximum4652511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:24.565874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile69.4
Q11990
median12481.5
Q358161
95-th percentile712607.6
Maximum4652511
Range4652494
Interquartile range (IQR)56171

Descriptive statistics

Standard deviation854727.26
Coefficient of variation (CV)3.7355872
Kurtosis27.11614
Mean228806.67
Median Absolute Deviation (MAD)12197.5
Skewness5.1235744
Sum6864200
Variance7.3055869 × 1011
MonotonicityNot monotonic
2023-12-10T23:06:25.206981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
194 1
 
3.3%
4652511 1
 
3.3%
103642 1
 
3.3%
77844 1
 
3.3%
63252 1
 
3.3%
76 1
 
3.3%
15379 1
 
3.3%
144637 1
 
3.3%
42888 1
 
3.3%
22472 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
17 1
3.3%
64 1
3.3%
76 1
3.3%
194 1
3.3%
374 1
3.3%
399 1
3.3%
701 1
3.3%
1928 1
3.3%
2176 1
3.3%
2270 1
3.3%
ValueCountFrequency (%)
4652511 1
3.3%
848657 1
3.3%
546325 1
3.3%
212690 1
3.3%
144637 1
3.3%
103642 1
3.3%
77844 1
3.3%
63252 1
3.3%
42888 1
3.3%
33525 1
3.3%

이용자활동평가긍정평가비율
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)67.9%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean96.675
Minimum87.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:25.391301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.2
5-th percentile90.625
Q194.625
median97.2
Q3100
95-th percentile100
Maximum100
Range12.8
Interquartile range (IQR)5.375

Descriptive statistics

Standard deviation3.4144166
Coefficient of variation (CV)0.035318506
Kurtosis0.93598098
Mean96.675
Median Absolute Deviation (MAD)2.8
Skewness-1.0850395
Sum2706.9
Variance11.658241
MonotonicityNot monotonic
2023-12-10T23:06:25.595971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
100.0 8
26.7%
92.9 2
 
6.7%
98.9 2
 
6.7%
97.4 1
 
3.3%
94.8 1
 
3.3%
94.0 1
 
3.3%
97.7 1
 
3.3%
99.6 1
 
3.3%
95.8 1
 
3.3%
96.7 1
 
3.3%
Other values (9) 9
30.0%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
87.2 1
3.3%
89.4 1
3.3%
92.9 2
6.7%
93.2 1
3.3%
94.0 1
3.3%
94.1 1
3.3%
94.8 1
3.3%
95.5 1
3.3%
95.8 1
3.3%
96.0 1
3.3%
ValueCountFrequency (%)
100.0 8
26.7%
99.6 1
 
3.3%
98.9 2
 
6.7%
98.4 1
 
3.3%
97.7 1
 
3.3%
97.4 1
 
3.3%
97.0 1
 
3.3%
96.7 1
 
3.3%
96.5 1
 
3.3%
96.0 1
 
3.3%

이용자활동평가부정평가비율
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)67.9%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.325
Minimum0
Maximum12.8
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:25.823039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.8
Q35.375
95-th percentile9.375
Maximum12.8
Range12.8
Interquartile range (IQR)5.375

Descriptive statistics

Standard deviation3.4144166
Coefficient of variation (CV)1.0268922
Kurtosis0.93598098
Mean3.325
Median Absolute Deviation (MAD)2.8
Skewness1.0850395
Sum93.1
Variance11.658241
MonotonicityNot monotonic
2023-12-10T23:06:26.035466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 8
26.7%
7.1 2
 
6.7%
1.1 2
 
6.7%
2.6 1
 
3.3%
5.2 1
 
3.3%
6.0 1
 
3.3%
2.3 1
 
3.3%
0.4 1
 
3.3%
4.2 1
 
3.3%
3.3 1
 
3.3%
Other values (9) 9
30.0%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
0.0 8
26.7%
0.4 1
 
3.3%
1.1 2
 
6.7%
1.6 1
 
3.3%
2.3 1
 
3.3%
2.6 1
 
3.3%
3.0 1
 
3.3%
3.3 1
 
3.3%
3.5 1
 
3.3%
4.0 1
 
3.3%
ValueCountFrequency (%)
12.8 1
3.3%
10.6 1
3.3%
7.1 2
6.7%
6.8 1
3.3%
6.0 1
3.3%
5.9 1
3.3%
5.2 1
3.3%
4.5 1
3.3%
4.2 1
3.3%
4.0 1
3.3%

수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.66667
Minimum0
Maximum1041
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:06:26.383405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median8.5
Q365.5
95-th percentile712.3
Maximum1041
Range1041
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation258.94698
Coefficient of variation (CV)2.0283054
Kurtosis5.6131899
Mean127.66667
Median Absolute Deviation (MAD)8.5
Skewness2.4696499
Sum3830
Variance67053.54
MonotonicityNot monotonic
2023-12-10T23:06:26.564322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6
20.0%
2 4
 
13.3%
1 2
 
6.7%
28 1
 
3.3%
124 1
 
3.3%
49 1
 
3.3%
135 1
 
3.3%
39 1
 
3.3%
643 1
 
3.3%
769 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 6
20.0%
1 2
 
6.7%
2 4
13.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
10 1
 
3.3%
24 1
 
3.3%
28 1
 
3.3%
39 1
 
3.3%
ValueCountFrequency (%)
1041 1
3.3%
769 1
3.3%
643 1
3.3%
395 1
3.3%
374 1
3.3%
135 1
3.3%
124 1
3.3%
68 1
3.3%
58 1
3.3%
49 1
3.3%

Interactions

2023-12-10T23:06:19.171378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:14.471994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.468627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.348272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.288025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.228858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.323159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:14.711133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.645704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.506679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.446676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.360486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.472410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:14.885859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.786438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.626506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.588532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.488984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.603637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.015296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.924383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.761649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.773812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.677458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.740192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.162744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.064414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.897168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.949445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.899078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.875948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:15.302155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:16.199354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:17.132434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:18.100100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:06:19.039586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:06:26.695801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가채널ID이용자활동평가영상ID이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가채널ID1.0001.0001.0001.0001.0001.0001.0001.000
이용자활동평가영상ID1.0001.0001.0001.0001.0001.0001.0001.000
이용자활동평가채널조회수1.0001.0001.0000.8780.0000.6200.6200.000
이용자활동평가구독자수1.0001.0000.8781.0000.7320.6300.6300.659
이용자활동평가영상조회수1.0001.0000.0000.7321.0000.8490.8491.000
이용자활동평가긍정평가비율1.0001.0000.6200.6300.8491.0001.0000.707
이용자활동평가부정평가비율1.0001.0000.6200.6300.8491.0001.0000.707
수1.0001.0000.0000.6591.0000.7070.7071.000
2023-12-10T23:06:26.885562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
이용자활동평가채널조회수1.0000.9390.640-0.4610.4610.413
이용자활동평가구독자수0.9391.0000.685-0.3900.3900.485
이용자활동평가영상조회수0.6400.6851.000-0.6160.6160.812
이용자활동평가긍정평가비율-0.461-0.390-0.6161.000-1.000-0.435
이용자활동평가부정평가비율0.4610.3900.616-1.0001.0000.435
수0.4130.4850.812-0.4350.4351.000

Missing values

2023-12-10T23:06:20.080948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:06:20.345027image/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.
2023-12-10T23:06:20.699789image/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/UCYyLIlOJyqkAFKlVjzX5imghttps://www.youtube.com/watch?v=v_DOJhjG2_42021-06-0113645523511350000194100.00.00
1https://www.youtube.com/channel/UCjPqSbyqm5IZEoXu7I-KPaghttps://www.youtube.com/watch?v=bOXHdMscVm82021-06-01136272820425000374100.00.01
2https://www.youtube.com/channel/UCFCtZJTuJhE18k8IXwmXTYQhttps://www.youtube.com/watch?v=4yJ3Gc02YRw2021-06-011983713053221000021269089.410.610
3https://www.youtube.com/channel/UCnekqR3rSkIG_8oUQQ3TtsQhttps://www.youtube.com/watch?v=pHgnL3jIft82021-06-017456889990848298.91.158
4https://www.youtube.com/channel/UClDbuB3bgZYVIaN3534c_ewhttps://www.youtube.com/watch?v=EetzlsBLTcI2021-06-011460314461670001380397.42.66
5https://www.youtube.com/channel/UC7-PyZbi_QIthI3WFtopzLwhttps://www.youtube.com/watch?v=H5deWiSo8Ko2021-06-01216232027254000240892.97.12
6https://www.youtube.com/channel/UCRofX42ugIM1JKnCjfXm9LAhttps://www.youtube.com/watch?v=pGuGyLtqjJ42021-06-0164282463236000701100.00.05
7https://www.youtube.com/channel/UCWmkrCwxD6PK5moIQI1fNDwhttps://www.youtube.com/watch?v=x3Q_Ew-gBFo2021-06-016666459487700192894.15.97
8https://www.youtube.com/channel/UCHsK9gl5aU0F3umrU4Zn_sAhttps://www.youtube.com/watch?v=iL9plpZ9axM2021-06-016325651866100003352596.04.00
9https://www.youtube.com/channel/UCfnSBW9u_I1ZKtT86zjLewghttps://www.youtube.com/watch?v=S0YRSt00Oe82021-06-0127594925296002270100.00.02
이용자활동평가채널ID이용자활동평가영상ID이용자활동평가생성기간이용자활동평가채널조회수이용자활동평가구독자수이용자활동평가영상조회수이용자활동평가긍정평가비율이용자활동평가부정평가비율수
20https://www.youtube.com/channel/UCS_hnpJLQTvBkqALgapi_4ghttps://www.youtube.com/watch?v=IvN3Er8ljj02021-06-01360740934356700002841598.41.668
21https://www.youtube.com/channel/UCN3RfsR18gsH8PLI6R6PYSQhttps://www.youtube.com/watch?v=2N-bBMmMDzQ2021-06-0114053589147002762100.00.02
22https://www.youtube.com/channel/UCFM_07Mxv6CglREk8qdkPawhttps://www.youtube.com/watch?v=Is-lcMsk8Ts2021-06-011633567991760002247296.73.345
23https://www.youtube.com/channel/UCkinYTS9IHqOEwR1Sze2JTwhttps://www.youtube.com/watch?v=Er9zuzcMNg82021-06-01231923549814900004288895.84.2769
24https://www.youtube.com/channel/UCtCnnCUn9IDDQRU9_04JD3ghttps://www.youtube.com/watch?v=OrAV7tgK8lc2021-06-01342486885101000014463798.91.1643
25https://www.youtube.com/channel/UCtyAkTwx8HfZ8gm4fqlJdVQhttps://www.youtube.com/watch?v=XJWEroEP2S82021-06-01822027796490001537999.60.439
26https://www.youtube.com/channel/UCOAesn82xnwtinrhvW3n26whttps://www.youtube.com/watch?v=x-YP5F2jyt42021-06-0126669793776100.00.00
27https://www.youtube.com/channel/UCl402YYy7RcH7PBI3npmGPQhttps://www.youtube.com/watch?v=oHzdYdOShVU2021-06-017272109755040006325297.72.3135
28https://www.youtube.com/channel/UCl_tB4AqPkkxuYcJQHz6dMwhttps://www.youtube.com/watch?v=pQ4YJcBnGMo2021-06-01113396378015100007784492.97.149
29https://www.youtube.com/channel/UCZ6IM7_T-bCmr_7DgAKjYxghttps://www.youtube.com/watch?v=mXMdFrYyhV42021-06-017146019418000010364294.06.0124