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 тис. доларів
726 respondents726
8
10-30 тис. доларів
1396 respondents1396
14
30-50 тис. доларів
1957 respondents1957
20
50-100 тис. доларів
2956 respondents2956
31
100-200 тис. доларів
1624 respondents1624
17
Більше 200 тис. доларів
314 respondents314
3
Менше одного року
319 respondents319
3
Від 1 до 2 років
1083 respondents1083
11
Від 2 до 5 років
2212 respondents2212
23
Від 5 до 10 років
2603 respondents2603
27
Від 10 до 20 років
2796 respondents2796
29
Більше 20 років
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).