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Data Explorer

Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.

1%
Extra Respondents
Missing Respondents
Sueldo anual
Años de experiencia
Trabajo gratis
2524 respondents2524
9
De 0$ a 10.000$ anuales
2559 respondents2559
9
De 10.000$ a 30.000$ anuales
4035 respondents4035
14
De 30.000$ a 50.000$ anuales
4905 respondents4905
17
De 50.000$ a 100.000$ anuales
8091 respondents8091
28
De 100.000$ a 200.000$ anuales
5391 respondents5391
19
Más de 200.000$ anuales
1171 respondents1171
4
Menos de un año
1272 respondents1272
4
De 1 a 2 años
4177 respondents4177
15
De 2 a 5 años
8708 respondents8708
30
De 5 a 10 años
7921 respondents7921
28
De 10 a 20 años
5784 respondents5784
20
Más de 20 años
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).