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
0 - 10 000 $
726 respondents726
8
10 000 - 30 000 $
1396 respondents1396
14
30 000 - 50 000 $
1957 respondents1957
20
50 000 - 100 000 $
2956 respondents2956
31
100 000 - 200 000 $
1624 respondents1624
17
Viac ako 200 000
314 respondents314
3
Menej ako rok
319 respondents319
3
1 až 2 roky
1083 respondents1083
11
3 až 5 rokov
2212 respondents2212
23
6 až 10 rokov
2603 respondents2603
27
11 až 20 rokov
2796 respondents2796
29
Viac ako 20 rokov
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).