SQLBI.COM: Keyword Density Checker

Total words: 1727 | 2-word phrases: 450 | 3-word phrases: 496 | 4-word phrases: 509

PAGE INFO

Title	Try to keep the title under 60 characters (12 characters) Home - SQLBI
Description	Try to keep the meta description between 50 - 160 characters (34 characters) Business Intelligence with passion
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	mastering dax –	3	0.60%
2	sqlbi days –	3	0.60%
3	29amsterdam aug 9melbourne	2	0.40%
4	dax – may	2	0.40%
5	1012amsterdam jun 2527chicago	2	0.40%
6	dec 1012amsterdam jun	2	0.40%
7	15sydney sep 2325vancouver	2	0.40%
8	aug 15sydney sep	2	0.40%
9	in dax marco	2	0.40%
10	this article describes	2	0.40%
11	may 29amsterdam aug	2	0.40%
12	dax marco russo	2	0.40%
13	9melbourne aug 15sydney	2	0.40%
14	may 27amsterdam may	2	0.40%
15	27amsterdam may 28amsterdam	2	0.40%
16	aug 9melbourne aug	2	0.40%
17	marco russoalberto ferrari	2	0.40%
18	on optimizing dax	2	0.40%
19	for power bi	2	0.40%
20	practices for using	2	0.40%
21	2527chicago aug 68melbourne	2	0.40%
22	aug 68melbourne aug	2	0.40%
23	amsterdam sqlbi days	2	0.40%
24	training consulting articlesblog	2	0.40%
25	consulting articlesblog videos	2	0.40%
26	articlesblog videos books	2	0.40%
27	home training consulting	2	0.40%
28	amsterdam mastering dax	2	0.40%
29	jun 2527chicago aug	2	0.40%
30	1214sydney aug 1921brisbane	2	0.40%

#	Keyword	Frequency	Density
1	2527chicago aug 68melbourne aug	2	0.39%
2	aug 15sydney sep 2325vancouver	2	0.39%
3	jun 2527chicago aug 68melbourne	2	0.39%
4	home training consulting articlesblog	2	0.39%
5	may 27amsterdam may 28amsterdam	2	0.39%
6	29amsterdam aug 9melbourne aug	2	0.39%
7	amsterdam sqlbi days –	2	0.39%
8	aug 9melbourne aug 15sydney	2	0.39%
9	9melbourne aug 15sydney sep	2	0.39%
10	may 29amsterdam aug 9melbourne	2	0.39%
11	in dax marco russo	2	0.39%
12	amsterdam mastering dax –	2	0.39%
13	training consulting articlesblog videos	2	0.39%
14	dec 1012amsterdam jun 2527chicago	2	0.39%
15	consulting articlesblog videos books	2	0.39%
16	1012amsterdam jun 2527chicago aug	2	0.39%
17	best practices for using	2	0.39%
18	bi and analysis services	1	0.20%
19	how to locate performance	1	0.20%
20	learn how to locate	1	0.20%
21	models learn how to	1	0.20%
22	semantic models learn how	1	0.20%
23	is the stateoftheart book	1	0.20%
24	power bi and analysis	1	0.20%
25	in power bi and	1	0.20%
26	dax expressions in power	1	0.20%
27	optimizing dax expressions in	1	0.20%
28	on optimizing dax expressions	1	0.20%
29	to locate performance bottlenecks	1	0.20%
30	optimizing dax is the	1	0.20%
31	dax is the stateoftheart	1	0.20%
32	expressions in power bi	1	0.20%
33	sqlbi home training consulting	1	0.20%
34	locate performance bottlenecks read	1	0.20%
35	improvements read more 306	1	0.20%
36	topics dax ssas power	1	0.20%
37	papers 30 tools popular	1	0.20%
38	13 papers 30 tools	1	0.20%
39	books 13 papers 30	1	0.20%
40	13 books 13 papers	1	0.20%

#	URL	Whois	Check
1	https://browsehappy.com/	Whois	browsehappy.com
2	https://www.daxpatterns.com/month-related-calculations	Whois	daxpatterns.com
3	https://www.daxpatterns.com/month-related-calculations	Whois	daxpatterns.com
4	https://www.youtube.com/c/sqlbi	Whois	youtube.com
5	https://twitter.com/marcorus	Whois	twitter.com
6	https://www.linkedin.com/company/sqlbi/	Whois	linkedin.com
7	https://www.facebook.com/sqlbi/	Whois	facebook.com
8	https://github.com/sql-bi	Whois	github.com
9	https://feeds.feedburner.com/sqlbi_blog	Whois	feedburner.com
10	https://twitter.com/marcorus	Whois	twitter.com
11	https://twitter.com/ferrarialberto	Whois	twitter.com
12	https://twitter.com/danieleperilli	Whois	twitter.com
13	http://loader.us.com/	Whois	us.com
14	https://dax.guide/	Whois	dax.guide
15	https://dax.do/	Whois	dax.do
16	https://www.daxpatterns.com/	Whois	daxpatterns.com
17	https://www.daxformatter.com/	Whois	daxformatter.com
18	https://bravo.bi	Whois	bravo.bi
19	https://okviz.com/	Whois	okviz.com
20	https://synoptic.design/	Whois	synoptic.design