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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2524 respondents2524
9
0 - 10 000 $
2559 respondents2559
9
10 000 - 30 000 $
4035 respondents4035
14
30 000 - 50 000 $
4905 respondents4905
17
50 000 - 100 000 $
8091 respondents8091
28
100 000 - 200 000 $
5391 respondents5391
19
Viac ako 200 000
1171 respondents1171
4
Menej ako rok
1272 respondents1272
4
1 až 2 roky
4177 respondents4177
15
3 až 5 rokov
8708 respondents8708
30
6 až 10 rokov
7921 respondents7921
28
11 až 20 rokov
5784 respondents5784
20
Viac ako 20 rokov
2168 respondents2168
8
33%
23%
15%
8%
6%
2%
0.4%
19%
22%
22%
14%
12%
4%
0.4%
10%
11%
20%
22%
23%
10%
1%
4%
4%
11%
19%
36%
21%
4%
2%
2%
5%
12%
36%
33%
8%
3%
0.9%
3%
8%
28%
39%
14%
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).