Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces.
What You Will Learn
- Use RStudio for data visualization
- Harness Tidyverse data pipelines
- Apply D3 and R Notebooks towards your data
- Work with the R Plumber API generator, Shiny, and more