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
695 respondents695
7
$0～$10,000
726 respondents726
8
$10,000～$30,000
1396 respondents1396
14
$30,000～$50,000
1957 respondents1957
20
$50,000～$100,000
2956 respondents2956
31
$100,000～$200,000
1624 respondents1624
17
$200,000以上
314 respondents314
3
1年未満
319 respondents319
3
1年から2年
1083 respondents1083
11
2年から5年
2212 respondents2212
23
5年から10年
2603 respondents2603
27
10年から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).