R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Values-Based Data Science & Design
textbook.sfsd.io
Your goals should be things like using data to facilitate better targeting, forecasting, pricing, decision-making, reporting, compliance, and so on. In other
John W. Foreman • Data Smart: Using Data Science to Transform Information into Insight
Visualizing {dplyr}’s mutate(), summarize(), group_by(), and ungroup() with animations | Andrew Heiss
Andrew Heissandrewheiss.com
the points that may not make sense for categorical data (a set of data that is sorted or divided into different categories). Often, our continuous data is in some unit of time: days, months, quarters, or years.