We discuss problems that limit our ability to see data structures properly, particularly for large data sets, and ways of overcoming those problems.
After you’ve watched this video, you should be able to answer these questions
•What is overprinting and why does it cause problems for us?
•What is jittering and how can the use of jittering help us?
•What is transparency and how does transparency help us?
•Why should we vary the transparency setting?
•In large data sets, what is emphasized visually by a low transparency setting? by a high transparency setting?
•What are running quantiles and why are they useful for large data sets?
•Why might we want to look at a version of the plot that uses very small plotting symbols?
•Why does iNZight switch its default from drawing normal scatterplots to drawing tile density plots when the data set gets large?
Overcoming perceptual problems analysis of algorithms | |
| 6 Likes | 6 Dislikes |
| 406 views views | followers |
| Education | Upload TimePublished on 27 May 2015 |
Không có nhận xét nào:
Đăng nhận xét