挑選 2 個問題，動態探索調查的閱聽眾，並查看其中答題者的分布情況。
1%
多出來的答題者
少掉的答題者
年薪 →
↓ 年資
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695 位答題者695
7
$0k-$10k
726 位答題者726
8
$10k-$30k
1396 位答題者1396
14
$30k-$50k
1957 位答題者1957
20
$50k-$100k
2956 位答題者2956
31
$100k-$200k
1624 位答題者1624
17
超過 $200k
314 位答題者314
3
少於 1 年
319 位答題者319
3
1 至 2 年
1083 位答題者1083
11
2 至 5 年
2212 位答題者2212
23
5 至 10 年
2603 位答題者2603
27
10 至 20 年
2796 位答題者2796
29
超過 20 年
1131 位答題者1131
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).