Useful Package List (libraries) for data analysis in R

Introduction

R offers multiple packages to perform data analysis. In addition to providing an incredible interface for statistical analysis, the best thing about R is the endless support it receives from developers and data science teachers around the world. CRAN's current count of downloadable packages is approaching 7000 packages!

Beyond some of the popular packages like caret, ggplot, dplyr, lattice, there are many more libraries that go unnoticed, but they are very useful in certain stages of the analysis. Then, we create a complete list of all packages in R.

To make the guide more useful, we also did 2 stuff:

1. You assigned the use of each of these libraries to the stage where they are generally used: premodelado, modeling and post-modeling.
2. I created a practical infographic with the most used libraries. Analysts can print it out and have it on hand for reference. The graph is shown below:

Here's a complete guide to powerful R packages, that are classified into various stages of the data analysis process. Download here.

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