Writing functions make your analyses more readable and more repeatable.
In this project, you'll perform an analysis of food prices in Rwanda, using the
readr skills you learned in Introduction to Importing Data in R to read the data,
then wrangling and visualizing the data with
ggplot2 skills from Introduction to the Tidyverse,
manipulating dates with
lubridate skills from Working with Times and Dates in R,
and forecasting future prices with
forecast with skills from Forecasting in R.
You'll also wrap your code into functions using skills from Introduction to Writing Functions in R, in order to apply your analysis to other food types.
Curriculum Architect at DataCamp
Richie runs the Content Quality team at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.See More