두 가지 질문을 선택하고 질문간 응답자의 분포를 통해 설문조사 대상을 동적으로 탐색합니다.
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이것은 새로운 데이터 탐색기의 미리보기 버전입니다. 문제나 데이터 불일치를 발견하면 알려주세요.
1%
Extra Respondents
Missing Respondents
연봉 →
↓ 경력
0
2524 respondents2524
9
0~10k
2559 respondents2559
9
10~30k
4035 respondents4035
14
30~50k
4905 respondents4905
17
50~100k
8091 respondents8091
28
100~200k
5391 respondents5391
19
>$200k
1171 respondents1171
4
<1
1272 respondents1272
4
1-2
4177 respondents4177
15
2-5
8709 respondents8709
30
5-10
7921 respondents7921
28
10-20
5784 respondents5784
20
>20
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).