3.6 Summary

In this chapter I have sought to make a strong argument for the need to follow a systematic and careful engineering approach to data science, both for the R code and to data that we use. Hacking is a very bad way to save time. Being meticulous and thorough will repay you many times over!

The next chapter goes on to look at exploratory data analysis and visualisation to assist in the task of checking the quality of data.

Please check your understanding of this chapter via this quick quiz) based on 8 multiple choice questions.