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
薪资 →
↓ 年限
0 美元
696 respondents696
7
0-$0k 美元
726 respondents726
8
10k-30k 美元
1396 respondents1396
14
30k-50k 美元
1957 respondents1957
20
50k-100k 美元
2956 respondents2956
31
100k-200k 美元
1624 respondents1624
17
超过 200k 美元
314 respondents314
3
<1
319 respondents319
3
1-2
1083 respondents1083
11
2-5
2213 respondents2213
23
5-10
2603 respondents2603
27
10-20
2796 respondents2796
29
>20
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).