Examples for data wrangling and modeling with R. See the Docs folder for presentation decks.
The ML_Data_Wrangling_Visualization directory contains examples for using the Tidyverse. Important concepts include:
- Data processing with dplyr
- Visualization with ggplot2
- R Markdown for reproducible research
The ML_Modeling directory contains examples of how to use R for data science using the census data. Important concepts include:
- Using R Notebooks to understand your data
- Building machine learning and linear models
- Communicating results with Shiny and flex dashboards
The ML_Modeling directory also contains introductory examples of how to use these new R packages: