In this chapter, we explored the purpose and process of statistical analysis in detail (the differences in data analysis), created a summarization model, and listed the steps involved in a successful statistical analysis. Finally, we underscored the choice of using R as the statistical analysis tool of choice.
The next chapter will be targeted at explaining statistical regression and why it is important to data science. We will walk through the use of various statistical regression methods in everyday data projects and outline how a developer might use regression for simple forecasting and prediction within a typical data development project.