Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.
1%
Extra Respondents
Missing Respondents
年収 →
↓ 経験年数
収入なし
2524 respondents2524
9
$0～$10,000
2559 respondents2559
9
$10,000～$30,000
4035 respondents4035
14
$30,000～$50,000
4905 respondents4905
17
$50,000～$100,000
8091 respondents8091
28
$100,000～$200,000
5391 respondents5391
19
$200,000以上
1171 respondents1171
4
1年未満
1272 respondents1272
4
1年から2年
4177 respondents4177
15
2年から5年
8708 respondents8708
30
5年から10年
7921 respondents7921
28
10年から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).