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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2524 respondents2524
9
0 美元 - 1 万美元
2559 respondents2559
9
1 万美元 - 3 万美元
4035 respondents4035
14
3 万美元 - 5 万美元
4905 respondents4905
17
5 万美元 - 10 万美元
8091 respondents8091
28
10 万美元 - 20 万美元
5391 respondents5391
19
大于 20 万美元
1171 respondents1171
4
少于 1 年
1272 respondents1272
4
1 至 2 年
4177 respondents4177
15
2 至 5 年
8708 respondents8708
30
5 至 10 年
7921 respondents7921
28
10 至 20 年
5784 respondents5784
20
20 年以上
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).