9 Data Exploration

20210309 This chapter is about exploring data. This includes simply extracting different bits of the data, and also statistical summaries of the data, such as the averages, skewness, etc. Exploration is contrasted with Wrangling where in Wrangling you are transforming the data and cleaning the data in various ways.

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0