JDSSV.ORG: Keyword Density Checker

Total words: 1366 | 2-word phrases: 347 | 3-word phrases: 377 | 4-word phrases: 389

PAGE INFO

Title	Try to keep the title under 60 characters (0 characters)
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (156 characters) “We welcome contributions to data science, statistics, and visualisation, and in particular those aspects which link and integrate these subject areas.”

#	Keyword	Frequency	Density
1	about the journal	5	1.33%
2	statistics and visualisation	5	1.33%
3	science statistics and	4	1.06%
4	of data science	4	1.06%
5	journal of data	3	0.80%
6	data science statistics	3	0.80%
7	make a submission	2	0.53%
8	these subject areas	2	0.53%
9	and visualisation and	2	0.53%
10	visualisation and in	2	0.53%
11	and in particular	2	0.53%
12	in particular those	2	0.53%
13	open access journal	2	0.53%
14	read more an	2	0.53%
15	about about the	2	0.53%
16	journal submissions editorial	2	0.53%
17	read more visual	2	0.53%
18	the journal submissions	2	0.53%
19	miksch klaus nordhausen	1	0.27%
20	blind source separation	1	0.27%
21	silvia miksch klaus	1	0.27%
22	20240604 claudia cappello	1	0.27%
23	claudia cappello nikolaus	1	0.27%
24	filzmoser silvia miksch	1	0.27%
25	cappello nikolaus piccolotto	1	0.27%
26	peter filzmoser silvia	1	0.27%
27	bögl peter filzmoser	1	0.27%
28	markus bögl peter	1	0.27%
29	piccolotto christoph muehlmann	1	0.27%
30	klaus nordhausen read	1	0.27%

#	Keyword	Frequency	Density
1	science statistics and visualisation	4	1.03%
2	journal of data science	3	0.77%
3	data science statistics and	3	0.77%
4	of data science statistics	3	0.77%
5	about about the journal	2	0.51%
6	statistics and visualisation and	2	0.51%
7	the journal submissions editorial	2	0.51%
8	about the journal submissions	2	0.51%
9	and visualisation and in	2	0.51%
10	visualisation and in particular	2	0.51%
11	and in particular those	2	0.51%
12	dimitris karlis read more	1	0.26%
13	markus bögl peter filzmoser	1	0.26%
14	chasiotis dimitris karlis read	1	0.26%
15	karlis read more visual	1	0.26%
16	interactive parameter selection for	1	0.26%
17	parameter selection for temporal	1	0.26%
18	selection for temporal blind	1	0.26%
19	for temporal blind source	1	0.26%
20	temporal blind source separation	1	0.26%
21	20240604 claudia cappello nikolaus	1	0.26%
22	claudia cappello nikolaus piccolotto	1	0.26%
23	cappello nikolaus piccolotto christoph	1	0.26%
24	vasilis chasiotis dimitris karlis	1	0.26%
25	nikolaus piccolotto christoph muehlmann	1	0.26%
26	filzmoser silvia miksch klaus	1	0.26%
27	bögl peter filzmoser silvia	1	0.26%
28	optimal crossover designs using	1	0.26%
29	li weng kee wong	1	0.26%
30	yin li weng kee	1	0.26%
31	20240604 yin li weng	1	0.26%
32	medicine 20240604 yin li	1	0.26%
33	precision medicine 20240604 yin	1	0.26%
34	designs using cvx for	1	0.26%
35	crossover designs using cvx	1	0.26%
36	find optimal crossover designs	1	0.26%
37	peter filzmoser silvia miksch	1	0.26%
38	to find optimal crossover	1	0.26%
39	way to find optimal	1	0.26%
40	efficient way to find	1	0.26%