DataScholars

A blog about data science, computer science, machine learning, artificial intelligence, computational social science, data mining, analysis, and visualization.

Practical Tools For Exploring Data And Models (Hadley Alexander Wickham)

by reiver

This thesis describes three families of tools for exploring data and models. It is organised in roughly the same way that you perform a data analysis. First, you get the data in a form that you can work with. Chapter 2 describes the reshape framework for restructuring data. Second, you plot the data to get a feel for what is going on. Chapter 3 introduces the layered grammar of graphics. Third, you iterate between graphics and models to build a succinct quantitative summary of the data. Chapter 4 introduces some strategies for visualising models. Finally, you look back at what you have done, and contemplate what tools you need to do better in the future. Chapter 5 summarises the impact of my work and my plans for the future.

[PDF]

--
submit to reddit
comments powered by Disqus