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 USD (0 – 250 000 Kč)
726 respondents726
8
10 000 – 30 000 USD (250 000 – 750 000 Kč)
1396 respondents1396
14
30 000 – 50 000 USD (750 000 – 1 250 000 Kč)
1957 respondents1957
20
50 000 – 100 000 USD (1 250 000 – 2 500 000 Kč)
2956 respondents2956
31
100 000 – 200 000 USD (2 500 000 – 5 000 000 Kč)
1624 respondents1624
17
Více než 200 000 USD (5 000 000 Kč)
314 respondents314
3
Méně než rok
319 respondents319
3
1 až 2 roky
1083 respondents1083
11
2 až 5 let
2212 respondents2212
23
5 až 10 let
2603 respondents2603
27
10 až 20 let
2796 respondents2796
29
Více než 20 let
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).