The Learn R Through Examples by Xijin Ge, Jianli Qi, and Rong Fan provides an introduction to data analysis with R. The book covers the core topics of data analysis using different datasets, from simple and clean datasets to messy and big datasets. 🧵👇🏼
(2/3) This includes the following topics:
✅ Working with data frames
✅ Data visualization with base R and ggplot2
✅ Data structures
✅ Summary statistics and correlation analysis
✅ Case studies - analyzing multiple datasets
@ramikrispin Got any tips for what pointers to provide to folks with long-running R jobs on clusters on how to speed them up and preferably parallelize execution?
@ramikrispin do you have resources and/or books about forecasting with tidymodels? I think the only one that is covering the topic seriously is Matt Dancho, but I'd love to be wrong
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