Conclusion

We have covered a lot of ground in this workbook. Hopefully, you now have a better understanding, both conceptually and practically, of the steps required to clean your data. You probably also understand that data wrangling is the most time-consuming part of the data science project. It is also indispensable. Very few datasets are tidy from the start. And no modeling, visualization, nor presentation of your data can happen unless it has been tidied and reshaped in order to be ready for the other steps in the process.

In these chapters, you have also been introduced to a set of tools to help us wrangle our data. There are many more out there in the R community. As you practice more with R, you will acquire more skills and tools to work with data. By necessity, what we have done here is only an introduction.