Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
1%
Extra Respondents
Missing Respondents
Salari anual →
↓ Anys d'experiència
Treballo de franc
695 respondents695
7
Entre 0 i 10.000 dòlars
726 respondents726
8
Entre 10.000 i 30.000 dòlars
1396 respondents1396
14
Entre 30.000 i 50.000 dòlars
1957 respondents1957
20
Entre 50.000 i 100.000 dòlars
2956 respondents2956
31
Entre 100.000 i 200.000 dòlars
1624 respondents1624
17
Més de 200.000 dòlars
314 respondents314
3
Menys d'1 any
319 respondents319
3
Entre 1 i 2 anys
1083 respondents1083
11
Entre 2 i 5 anys
2212 respondents2212
23
Entre 5 i 10 anys
2603 respondents2603
27
Entre 10 i 20 anys
2796 respondents2796
29
Més de 20 anys
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).