Julia for Data Analysis

12 Mutating and transforming data frames

This chapter covers

• Extracting data from ZIP archives
• Adding and mutating columns of a data frame
• Performing split-apply-combine transformations of data frames
• Working with graphs and analyzing their properties
• Creating complex plots

In chapters 8-11, you learned to create data frames and extract data from them. It is time to discuss ways in which data frames can be mutated. By data frame mutation, I mean creating new columns by using data from existing columns. For example, you might have a date column in a data frame and want to create a new column that stores the year extracted from this date. In DataFrames.jl, you can achieve this objective in two ways:

• Update the source data frame in place by ...