MATRIXPROFILE.ORG: Keyword Density Checker

Total words: 907 | 2-word phrases: 234 | 3-word phrases: 254 | 4-word phrases: 265

PAGE INFO

Title	Try to keep the title under 60 characters (32 characters) Home \| Matrix Profile Foundation
Description	Try to keep the meta description between 50 - 160 characters (181 characters) The Matrix Profile is a powerful tool to help solve the dual problem of anomaly detection and motif discovery in time series data. Access the Matrix Profile in Python, R and Golang.
Keywords	Meta keywords are not recommended anymore (165 characters) matrix profile,algorithms,motifs,discords,tutorials,anomaly,anomalies,patterns,time-series,time series,segmentation,datamining,data-mining,data science,data analysis
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	the matrix profile?	8	3.15%
2	the matrix profile	8	3.15%
3	matrix profile foundation	3	1.18%
4	a short tutorial	2	0.79%
5	are time series	2	0.79%
6	matrix profile is	2	0.79%
7	time series snippets	2	0.79%
8	how to use	2	0.79%
9	demonstrating how to	2	0.79%
10	tutorial demonstrating how	2	0.79%
11	time series snippets?	2	0.79%
12	short tutorial demonstrating	2	0.79%
13	pydata global 2020	2	0.79%
14	what are time	2	0.79%
15	you used the	1	0.39%
16	learn about our	1	0.39%
17	past to realize	1	0.39%
18	that your data	1	0.39%
19	your data is	1	0.39%
20	the past to	1	0.39%
21	in the past	1	0.39%
22	data is pretty	1	0.39%
23	algorithms in the	1	0.39%
24	profile algorithms in	1	0.39%
25	matrix profile algorithms	1	0.39%
26	used the matrix	1	0.39%
27	is pretty dirty?	1	0.39%
28	about our new	1	0.39%
29	skip to main	1	0.39%
30	have you used	1	0.39%

#	Keyword	Frequency	Density
1	a short tutorial demonstrating	2	0.75%
2	short tutorial demonstrating how	2	0.75%
3	the matrix profile is	2	0.75%
4	what are time series	2	0.75%
5	demonstrating how to use	2	0.75%
6	tutorial demonstrating how to	2	0.75%
7	how to preprocess your	1	0.38%
8	to preprocess your time	1	0.38%
9	preprocess your time series	1	0.38%
10	have you used the	1	0.38%
11	you used the matrix	1	0.38%
12	used the matrix profile	1	0.38%
13	skip to main content	1	0.38%
14	profiles at pydata global	1	0.38%
15	the matrix profile algorithms	1	0.38%
16	matrix profile algorithms in	1	0.38%
17	profile algorithms in the	1	0.38%
18	algorithms in the past	1	0.38%
19	in the past to	1	0.38%
20	the past to realize	1	0.38%
21	that your data is	1	0.38%
22	your data is pretty	1	0.38%
23	at pydata global 2020	1	0.38%
24	use cases of matrix	1	0.38%
25	learn about our new	1	0.38%
26	healthcare iot geology and	1	0.38%
27	works straight out of	1	0.38%
28	straight out of the	1	0.38%
29	the matrix profile has	1	0.38%
30	matrix profile has solved	1	0.38%
31	profile has solved challenges	1	0.38%
32	has solved challenges in	1	0.38%
33	solved challenges in finance	1	0.38%
34	challenges in finance biology	1	0.38%
35	robotics healthcare iot geology	1	0.38%
36	iot geology and many	1	0.38%
37	to main content matrix	1	0.38%
38	geology and many other	1	0.38%
39	and many other arenas	1	0.38%
40	pydata global 2020 presentation	1	0.38%

#	URL	Whois	Check
1	https://github.com/matrix-profile-foundation	Whois	github.com
2	https://twitter.com/matrixprofile	Whois	twitter.com
3	https://www.linkedin.com/company/matrix-profile-foundation	Whois	linkedin.com
4	https://discord.gg/sBhDNXT	Whois	discord.gg