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
2524 respondents2524
9
Entre 0 i 10.000 dòlars
2559 respondents2559
9
Entre 10.000 i 30.000 dòlars
4035 respondents4035
14
Entre 30.000 i 50.000 dòlars
4905 respondents4905
17
Entre 50.000 i 100.000 dòlars
8091 respondents8091
28
Entre 100.000 i 200.000 dòlars
5391 respondents5391
19
Més de 200.000 dòlars
1171 respondents1171
4
Menys d'1 any
1272 respondents1272
4
Entre 1 i 2 anys
4177 respondents4177
15
Entre 2 i 5 anys
8708 respondents8708
30
Entre 5 i 10 anys
7921 respondents7921
28
Entre 10 i 20 anys
5784 respondents5784
20
Més de 20 anys
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).