Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
1%
Extra Respondents
Missing Respondents
薪资 →
↓ 年限
我没有收入
695 respondents695
7
0 美元 - 1 万美元
726 respondents726
8
1 万美元 - 3 万美元
1396 respondents1396
14
3 万美元 - 5 万美元
1957 respondents1957
20
5 万美元 - 10 万美元
2956 respondents2956
31
10 万美元 - 20 万美元
1624 respondents1624
17
大于 20 万美元
314 respondents314
3
少于 1 年
319 respondents319
3
1 至 2 年
1083 respondents1083
11
2 至 5 年
2212 respondents2212
23
5 至 10 年
2603 respondents2603
27
10 至 20 年
2796 respondents2796
29
20 年以上
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).