Developing R packages and data applications - GoDataDriven

In a Data Science project, the most common approach is to write a sequence of scripts to explore the data, develop statistical models and show the results. After a while, our code can get easily out of hand because the scripts are too many (and/or too long), and we might face problems such as:

This is a companion discussion topic for the original entry at