Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.4 B

Variable types

Text2
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/47a3296f-8642-4345-9669-b09f4f7997b4

Alerts

참여채널수집일자 has constant value ""Constant
참여채널경로명 has unique valuesUnique
채널채널조회수 has unique valuesUnique
채널채널명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:18:51.597828
Analysis finished2023-12-10 14:18:53.118653
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:18:53.398228image/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/UC6vqrLdkH6ugsz1lggntczQ
2nd rowhttps://www.youtube.com/channel/UC91rvX_fNDBTWWyW3bK-vTw
3rd rowhttps://www.youtube.com/channel/UCDq53riUEn4KtjwovmPqKpA
4th rowhttps://www.youtube.com/channel/UC0kAtjCNV1AGHEZgCOy1A3A
5th rowhttps://www.youtube.com/channel/UCnjyiWHGEyww-p8QYSftx2A
ValueCountFrequency (%)
https://www.youtube.com/channel/uc6vqrldkh6ugsz1lggntczq 1
 
3.3%
https://www.youtube.com/channel/uc91rvx_fndbtwwyw3bk-vtw 1
 
3.3%
https://www.youtube.com/channel/ucau70b23_c9juagr6y962tq 1
 
3.3%
https://www.youtube.com/channel/uc475tcgr71ctgu8tsktyxaa 1
 
3.3%
https://www.youtube.com/channel/ucsd5qgeqdvysv_1gbipkn6q 1
 
3.3%
https://www.youtube.com/channel/ucnjqbitsdoj2tcqlbgxfksw 1
 
3.3%
https://www.youtube.com/channel/ucys4zxvkm6nq0sq136c8zwg 1
 
3.3%
https://www.youtube.com/channel/ucct6in6njemse_ohrihybaq 1
 
3.3%
https://www.youtube.com/channel/ucvnm-q28weke8ro2harfytq 1
 
3.3%
https://www.youtube.com/channel/ucrkkidf1-apzp2txv0jjgdw 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:18:53.909039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 120
 
7.1%
t 110
 
6.5%
w 105
 
6.2%
c 72
 
4.3%
o 70
 
4.2%
n 70
 
4.2%
e 68
 
4.0%
h 67
 
4.0%
u 66
 
3.9%
. 60
 
3.6%
Other values (57) 872
51.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1016
60.5%
Uppercase Letter 323
 
19.2%
Other Punctuation 210
 
12.5%
Decimal Number 109
 
6.5%
Dash Punctuation 12
 
0.7%
Connector Punctuation 10
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 110
 
10.8%
w 105
 
10.3%
c 72
 
7.1%
o 70
 
6.9%
n 70
 
6.9%
e 68
 
6.7%
h 67
 
6.6%
u 66
 
6.5%
s 39
 
3.8%
y 39
 
3.8%
Other values (16) 310
30.5%
Uppercase Letter
ValueCountFrequency (%)
C 43
 
13.3%
U 37
 
11.5%
A 19
 
5.9%
Q 18
 
5.6%
S 14
 
4.3%
T 14
 
4.3%
X 14
 
4.3%
H 13
 
4.0%
K 13
 
4.0%
W 13
 
4.0%
Other values (16) 125
38.7%
Decimal Number
ValueCountFrequency (%)
6 17
15.6%
1 16
14.7%
8 14
12.8%
3 12
11.0%
2 11
10.1%
5 10
9.2%
7 9
8.3%
4 7
6.4%
9 7
6.4%
0 6
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 120
57.1%
. 60
28.6%
: 30
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1339
79.7%
Common 341
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 110
 
8.2%
w 105
 
7.8%
c 72
 
5.4%
o 70
 
5.2%
n 70
 
5.2%
e 68
 
5.1%
h 67
 
5.0%
u 66
 
4.9%
C 43
 
3.2%
s 39
 
2.9%
Other values (42) 629
47.0%
Common
ValueCountFrequency (%)
/ 120
35.2%
. 60
17.6%
: 30
 
8.8%
6 17
 
5.0%
1 16
 
4.7%
8 14
 
4.1%
3 12
 
3.5%
- 12
 
3.5%
2 11
 
3.2%
_ 10
 
2.9%
Other values (5) 39
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 120
 
7.1%
t 110
 
6.5%
w 105
 
6.2%
c 72
 
4.3%
o 70
 
4.2%
n 70
 
4.2%
e 68
 
4.0%
h 67
 
4.0%
u 66
 
3.9%
. 60
 
3.6%
Other values (57) 872
51.9%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-07-01 00:00:00
Maximum2021-07-01 00:00:00
2023-12-10T23:18:54.119823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:54.249325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)


Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1602.0333
Minimum2
Maximum38224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:54.391775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile21
Q1116.75
median203.5
Q3535.75
95-th percentile1213.3
Maximum38224
Range38222
Interquartile range (IQR)419

Descriptive statistics

Standard deviation6925.1059
Coefficient of variation (CV)4.3226977
Kurtosis29.84054
Mean1602.0333
Median Absolute Deviation (MAD)159.5
Skewness5.4562756
Sum48061
Variance47957091
MonotonicityNot monotonic
2023-12-10T23:18:54.577503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
226 2
 
6.7%
21 2
 
6.7%
160 1
 
3.3%
69 1
 
3.3%
123 1
 
3.3%
396 1
 
3.3%
246 1
 
3.3%
144 1
 
3.3%
1405 1
 
3.3%
133 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2 1
3.3%
21 2
6.7%
33 1
3.3%
69 1
3.3%
82 1
3.3%
114 1
3.3%
116 1
3.3%
119 1
3.3%
123 1
3.3%
127 1
3.3%
ValueCountFrequency (%)
38224 1
3.3%
1405 1
3.3%
979 1
3.3%
926 1
3.3%
800 1
3.3%
642 1
3.3%
612 1
3.3%
536 1
3.3%
535 1
3.3%
511 1
3.3%

채널채널조회수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6533525 × 108
Minimum1503
Maximum3.9467535 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:54.768112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1503
5-th percentile6938.9
Q1462333.5
median3050901
Q316256669
95-th percentile3.3862598 × 108
Maximum3.9467535 × 109
Range3.946752 × 109
Interquartile range (IQR)15794336

Descriptive statistics

Standard deviation7.1948071 × 108
Coefficient of variation (CV)4.3516474
Kurtosis29.033098
Mean1.6533525 × 108
Median Absolute Deviation (MAD)3043519
Skewness5.3551334
Sum4.9600575 × 109
Variance5.1765249 × 1017
MonotonicityNot monotonic
2023-12-10T23:18:54.957976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11293542 1
 
3.3%
4169473 1
 
3.3%
313834 1
 
3.3%
506171 1
 
3.3%
2878444 1
 
3.3%
50308390 1
 
3.3%
2652711 1
 
3.3%
244620 1
 
3.3%
11225642 1
 
3.3%
7032577 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1503 1
3.3%
2951 1
3.3%
11813 1
3.3%
70184 1
3.3%
197012 1
3.3%
244620 1
3.3%
313834 1
3.3%
447721 1
3.3%
506171 1
3.3%
768262 1
3.3%
ValueCountFrequency (%)
3946753521 1
3.3%
410256758 1
3.3%
251077248 1
3.3%
125001143 1
3.3%
60578872 1
3.3%
50308390 1
3.3%
34060113 1
3.3%
17911045 1
3.3%
11293542 1
3.3%
11225642 1
3.3%

채널채널명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:18:55.245192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length9.3
Min length2

Characters and Unicode

Total characters279
Distinct characters142
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

Unique30 ?
Unique (%)100.0%

Sample

1st row속고살지마_KBS
2nd row쫑아tv
3rd rowKimchiTaco
4th row엎어컷 (Uppercut)
5th rowMochaMilk
ValueCountFrequency (%)
공식 2
 
4.4%
속고살지마_kbs 1
 
2.2%
쫑아tv 1
 
2.2%
도봉봉tv 1
 
2.2%
서울특별시 1
 
2.2%
도봉구 1
 
2.2%
유튜브 1
 
2.2%
국립대구과학관 1
 
2.2%
egee 1
 
2.2%
park 1
 
2.2%
Other values (34) 34
75.6%
2023-12-10T23:18:55.736853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
5.4%
e 10
 
3.6%
o 8
 
2.9%
a 8
 
2.9%
l 7
 
2.5%
T 7
 
2.5%
i 7
 
2.5%
V 6
 
2.2%
6
 
2.2%
h 6
 
2.2%
Other values (132) 199
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
48.7%
Lowercase Letter 83
29.7%
Uppercase Letter 38
 
13.6%
Space Separator 15
 
5.4%
Connector Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
4.4%
5
 
3.7%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
2
 
1.5%
Other values (88) 101
74.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
12.0%
o 8
9.6%
a 8
9.6%
l 7
 
8.4%
i 7
 
8.4%
h 6
 
7.2%
r 6
 
7.2%
c 5
 
6.0%
p 4
 
4.8%
u 3
 
3.6%
Other values (12) 19
22.9%
Uppercase Letter
ValueCountFrequency (%)
T 7
18.4%
V 6
15.8%
S 5
13.2%
E 4
10.5%
M 3
7.9%
L 2
 
5.3%
K 2
 
5.3%
B 2
 
5.3%
H 1
 
2.6%
C 1
 
2.6%
Other values (5) 5
13.2%
Close Punctuation
ValueCountFrequency (%)
) 1
50.0%
] 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
[ 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
48.7%
Latin 121
43.4%
Common 22
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
4.4%
5
 
3.7%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
2
 
1.5%
Other values (88) 101
74.3%
Latin
ValueCountFrequency (%)
e 10
 
8.3%
o 8
 
6.6%
a 8
 
6.6%
l 7
 
5.8%
T 7
 
5.8%
i 7
 
5.8%
V 6
 
5.0%
h 6
 
5.0%
r 6
 
5.0%
c 5
 
4.1%
Other values (27) 51
42.1%
Common
ValueCountFrequency (%)
15
68.2%
_ 2
 
9.1%
- 1
 
4.5%
) 1
 
4.5%
( 1
 
4.5%
] 1
 
4.5%
[ 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
51.3%
Hangul 136
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
 
10.5%
e 10
 
7.0%
o 8
 
5.6%
a 8
 
5.6%
l 7
 
4.9%
T 7
 
4.9%
i 7
 
4.9%
V 6
 
4.2%
h 6
 
4.2%
r 6
 
4.2%
Other values (34) 63
44.1%
Hangul
ValueCountFrequency (%)
6
 
4.4%
5
 
3.7%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
2
 
1.5%
Other values (88) 101
74.3%

Interactions

2023-12-10T23:18:52.358155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:51.938615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:52.574097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:52.160096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:18:55.867215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여채널경로명채널채널조회수채널채널명
참여채널경로명1.0001.0001.0001.000
1.0001.0000.0001.000
채널채널조회수1.0000.0001.0001.000
채널채널명1.0001.0001.0001.000
2023-12-10T23:18:56.009079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널조회수
1.0000.442
채널채널조회수0.4421.000

Missing values

2023-12-10T23:18:52.855398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:18:53.069795image/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

참여채널경로명참여채널수집일자채널채널조회수채널채널명
0https://www.youtube.com/channel/UC6vqrLdkH6ugsz1lggntczQ2021-07-0116011293542속고살지마_KBS
1https://www.youtube.com/channel/UC91rvX_fNDBTWWyW3bK-vTw2021-07-01211503쫑아tv
2https://www.youtube.com/channel/UCDq53riUEn4KtjwovmPqKpA2021-07-01331252065KimchiTaco
3https://www.youtube.com/channel/UC0kAtjCNV1AGHEZgCOy1A3A2021-07-01114931489엎어컷 (Uppercut)
4https://www.youtube.com/channel/UCnjyiWHGEyww-p8QYSftx2A2021-07-01226251077248MochaMilk
5https://www.youtube.com/channel/UCoW5Rhaw1Fh_du3tgJ89RMw2021-07-01642768262국립공원TV
6https://www.youtube.com/channel/UCB3q-dSjxm5JkfH7Q8V8_-Q2021-07-0180034060113케차
7https://www.youtube.com/channel/UCv7HX-7ctqTH4cXxT1nfrIg2021-07-0138224125001143채널A Life
8https://www.youtube.com/channel/UC4K8cYenfHkEAu6W3yhLgEw2021-07-011166472993개땡중
9https://www.youtube.com/channel/UCDr6kXIgjV8jP0IQ8-omFtw2021-07-0122951한전원자력연료
참여채널경로명참여채널수집일자채널채널조회수채널채널명
20https://www.youtube.com/channel/UC-_Lr5aJ92zDKCJXAQi656A2021-07-01926197012도봉봉TV- 서울특별시 도봉구 공식 유튜브
21https://www.youtube.com/channel/UCRKkIDf1-APzp2txv0jJgdw2021-07-01511447721국립대구과학관
22https://www.youtube.com/channel/UCVNM-q28WEke8RO2HarFYTQ2021-07-011197032577Egee Park 박은지
23https://www.youtube.com/channel/UCCt6iN6nJemSe_OHRihYBAQ2021-07-0135211225642매부리TV
24https://www.youtube.com/channel/UCYS4zxvKm6nq0SQ136C8Zwg2021-07-01133244620곡성군
25https://www.youtube.com/channel/UCNjQBiTSdoj2tCQLBGXFksw2021-07-0114052652711EBS 라디오 공식 채널
26https://www.youtube.com/channel/UCSD5QgeqDVysv_1gBiPKN6Q2021-07-0114450308390강언TV
27https://www.youtube.com/channel/UC475tcGR71CTgU8tsKtYXAA2021-07-012462878444한국장애인고용공단
28https://www.youtube.com/channel/UCAU70B23_C9jUagR6Y962TQ2021-07-01396506171국가평생교육진흥원 NILE
29https://www.youtube.com/channel/UCesITWTJ65jGdowX9I-M2Mg2021-07-01123313834출발하라 chulbal_hara