A First Primer on Data Mining Analysing Your Bank Account Data

It should be now clear to you why R is worth investing your time in: it is a powerful language, plugin-ready, data visualization-friendly, and all the other adjectives you can derive from the previous chapter. Wouldn't it be great to taste a bit of all of those powerhouses?

That is what this chapter is all about—letting you experiment with discovering insights from your data with R. 

We are going to do this with your own data, in particular, your banking data. We are going to discover and model your expenditure habits, employing the power of R. After reading this chapter, apart from being even more enthusiastic about reading the remaining chapters, you will be able to do the following:

  • Summarize your data with functions provided by dplyr
  • Answer questions regarding your finance habits
  • Produce basic and advanced visualizations of your data with the ggplot2 package

But before actually getting our hands dirty, we need to talk a bit more about the data we are going to handle, and this is what we are going to tackle next.

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