Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
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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
$0
696 respondents696
7
$0-$10k
726 respondents726
8
$10k-$30k
1396 respondents1396
14
$30k-$50k
1957 respondents1957
20
$50k-$100k
2956 respondents2956
31
$100k-$200k
1624 respondents1624
17
>$200k
314 respondents314
3
<1 years
319 respondents319
3
1-2 years
1083 respondents1083
11
3-5 years
2213 respondents2213
23
6-10 years
2603 respondents2603
27
11-20 years
2796 respondents2796
29
>20 years
1131 respondents1131
12
34%
27%
14%
7%
4%
0.7%
0.4%
22%
21%
24%
15%
9%
2%
0.4%
9%
11%
22%
24%
22%
8%
0.4%
3%
4%
12%
23%
36%
16%
2%
2%
2%
8%
18%
37%
24%
5%
2%
2%
5%
13%
34%
31%
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).