Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
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This is a preview version of our new Data Explorer. If you find any issues or data inconsistencies please let us know.
1%
Extra Respondents
Missing Respondents
Roční příjem →
↓ Roky zkušeností
0 USD (0 Kč)
2524 respondents2524
9
0 – 10 000 USD (0 – 250 000 Kč)
2559 respondents2559
9
10 000 – 30 000 USD (250 000 – 750 000 Kč)
4035 respondents4035
14
30 000 – 50 000 USD (750 000 – 1 250 000 Kč)
4905 respondents4905
17
50 000 – 100 000 USD (1 250 000 – 2 500 000 Kč)
8091 respondents8091
28
100 000 – 200 000 USD (2 500 000 – 5 000 000 Kč)
5391 respondents5391
19
> 200 000 USD (5 000 000 Kč)
1171 respondents1171
4
< 1
1272 respondents1272
4
1–2
4177 respondents4177
15
2–5
8709 respondents8709
30
5–10
7921 respondents7921
28
10–20
5784 respondents5784
20
> 20
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).