STATE-OF-DATA.COM: Keyword Density Checker

Total words: 3340 | 2-word phrases: 837 | 3-word phrases: 995 | 4-word phrases: 1081

PAGE INFO

Title	Try to keep the title under 60 characters (13 characters) State of Data
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	state of data	20	2.01%
2	of data 2023	20	2.01%
3	all company size	16	1.61%
4	company size source	14	1.41%
5	all location all	13	1.31%
6	size source airbyte	13	1.31%
7	brand recognition and	13	1.31%
8	years of experience	12	1.21%
9	experience all company	12	1.21%
10	location all years	11	1.11%
11	recognition and adoptiondata	11	1.11%
12	all years of	11	1.11%
13	of experience all	9	0.90%
14	2023brand recognition and	8	0.80%
15	data 2023brand recognition	7	0.70%
16	compensation k usd	6	0.60%
17	k usd vs	6	0.60%
18	of data 2023brand	6	0.60%
19	cash compensation k	5	0.50%
20	made to date	5	0.50%
21	engineering survey made	5	0.50%
22	survey made to	5	0.50%
23	how large is	4	0.40%
24	currently employed how	4	0.40%
25	respondents were evenly	4	0.40%
26	source airbyte data	4	0.40%
27	employed how large	4	0.40%
28	largest data engineering	4	0.40%
29	this is the	4	0.40%
30	experience source airbyte	4	0.40%

#	Keyword	Frequency	Density
1	state of data 2023	19	1.76%
2	all company size source	14	1.30%
3	experience all company size	12	1.11%
4	company size source airbyte	12	1.11%
5	location all years of	9	0.83%
6	all location all years	9	0.83%
7	brand recognition and adoptiondata	9	0.83%
8	of experience all company	8	0.74%
9	years of experience all	7	0.65%
10	data 2023brand recognition and	7	0.65%
11	of data 2023brand recognition	6	0.56%
12	compensation k usd vs	6	0.56%
13	all years of experience	6	0.56%
14	2023brand recognition and adoptiondata	5	0.46%
15	state of data 2023brand	5	0.46%
16	cash compensation k usd	5	0.46%
17	survey made to date	5	0.46%
18	engineering survey made to	5	0.46%
19	data engineering survey made	4	0.37%
20	largest data engineering survey	4	0.37%
21	employed how large is	4	0.37%
22	currently employed how large	4	0.37%
23	how large is your	4	0.37%
24	state of data 2023cash	3	0.28%
25	respondents were evenly split	3	0.28%
26	were evenly split across	3	0.28%
27	of data 2023cash compensation	3	0.28%
28	size source airbyte data	3	0.28%
29	data 2023cash compensation k	3	0.28%
30	2023cash compensation k usd	3	0.28%
31	source airbyte state of	3	0.28%
32	years of experience source	3	0.28%
33	of experience source airbyte	3	0.28%
34	airbyte state of data	3	0.28%
35	location all company size	3	0.28%
36	youre currently employed how	3	0.28%
37	state of data 2023top	3	0.28%
38	than 30 of teams	2	0.19%
39	of teams maintain more	2	0.19%
40	grabs state of data	2	0.19%

#	URL	Whois	Check
1	https://airbyte.com/blog/data-orchestration-trends	Whois	airbyte.com
2	https://airbyte.com/tutorials/configure-airbyte-with-python-dagster	Whois	airbyte.com
3	https://airbyte.com/blog/the-rise-of-the-semantic-layer-metrics-on-the-fly	Whois	airbyte.com
4	https://airbyte.com/blog/rust-for-data-engineering	Whois	airbyte.com
5	https://airbyte.com/blog/data-modeling-unsung-hero-data-engineering-introduction	Whois	airbyte.com
6	https://airbyte.com/blog/data-engineering-past-present-and-future	Whois	airbyte.com
7	https://www.linkedin.com/in/daniel-beach-6ab8b4132	Whois	linkedin.com
8	https://www.linkedin.com/in/marclamberti/	Whois	linkedin.com
9	https://www.linkedin.com/in/ravitjain/	Whois	linkedin.com
10	https://www.linkedin.com/in/andreas-kretz/	Whois	linkedin.com
11	https://www.linkedin.com/in/benjaminrogojan/	Whois	linkedin.com
12	https://www.linkedin.com/in/ananthdurai/	Whois	linkedin.com