Week 2: Fundamentals of Digital Data

This week covers the fundamentals of digital data, including bits/bytes, storage and memory, character encodings, R data types, and reading/writing digital data.

Lecture Slides   Supporting Code  

Note: materials will be posted before lecture and seminar each week.

Additional resources

• Wickham, Hadley and Garett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O’Reilly. Part II Wrangle, Tibbles, Data Import, Tidy Data (Ch. 7-9 of the print edition).

• The Tidyverse collection of packages for R.

• Note: there is a newer version of the Wickham and Grolemund text from 2023, which is available at https://r4ds.hadley.nz/.*