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Data Explorer

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
我免費做功德
2524 位答題者2524
9
$0k-$10k
2559 位答題者2559
9
$10k-$30k
4035 位答題者4035
14
$30k-$50k
4905 位答題者4905
17
$50k-$100k
8091 位答題者8091
28
$100k-$200k
5391 位答題者5391
19
超過 $200k
1171 位答題者1171
4
少於 1 年
1272 位答題者1272
4
1 至 2 年
4177 位答題者4177
15
2 至 5 年
8708 位答題者8708
30
5 至 10 年
7921 位答題者7921
28
10 至 20 年
5784 位答題者5784
20
超過 20 年
2168 位答題者2168
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).