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Data Explorer

Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.

💡
This is a preview version of our new Data Explorer. If you find any issues or data inconsistencies please let us know.
1%
Extra Respondents
Missing Respondents
Yearly Salary
Years of Experience
I work for free
696 respondents696
7
$0k-$10k
726 respondents726
7
$10k-$30k
1396 respondents1396
14
$30k-$50k
1957 respondents1957
20
$50k-$100k
2956 respondents2956
30
$100k-$200k
1624 respondents1624
16
More than $200k
314 respondents314
3
Less than one year
276 respondents276
2
1 to 2 years
1000 respondents1000
10
3 to 5 years
2127 respondents2127
21
6 to 10 years
2514 respondents2514
26
11 to 20 years
2690 respondents2690
27
More than 20 years
1062 respondents1062
10
39%
30%
16%
8%
4%
0%
0%
23%
22%
25%
16%
9%
1%
0%
9%
11%
23%
24%
23%
7%
0%
3%
4%
12%
23%
37%
16%
2%
1%
1%
8%
18%
38%
25%
5%
2%
1%
5%
14%
35%
32%
8%

Extra & Missing Respondents

The chart above aims to identify areas showing higher-than-expected or lower-than-expected values compared to a calculated baseline.

For example, assuming there are 1000 CSS Grid users, and that 50% of survey respondents work in a large company, you'd expect to find 500 CSS Grid users working in large companies.

Any deviation above or below that expected total could potentially indicate an interesting correlation between both variables, and is highlighted on the chart with either colored dots (for extra respondents above the baseline) or empty dots (for missing respondents).