Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
1%
Extra Respondents
Missing Respondents
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695 respondents695
7
$0k-$10k
726 respondents726
8
$10k-$30k
1396 respondents1396
14
$30k-$50k
1957 respondents1957
20
$50k-$100k
2956 respondents2956
31
$100k-$200k
1624 respondents1624
17
Ponad $200k
314 respondents314
3
Mniej niż rok
319 respondents319
3
1 do 2 lat
1083 respondents1083
11
2 do 5 lat
2212 respondents2212
23
5 do 10 lat
2603 respondents2603
27
10 do 20 lat
2796 respondents2796
29
Ponad 20 lat
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).