This chapter was divided into three main sections depending on how we are looking at data – tables, text summaries, and charts.

When we saw text summaries, we introduced Summary, Describe, Basics, Kurtosis, and Skewness reports. To understand these reports, we needed to remember some basic statistics concepts like mean, median, mode, range, quartile, interquartile range, variance, and standard deviation.

In this chapter, we also introduced some important charts – histograms, correlations, Box Plot, and Bar Chart.

In the next chapter, we'll learn how to load data into Qlik Sense and how to create data visualizations. We'll use some of the charts we introduced in this chapter. You'll see that Qlik Sense is more powerful for a business user who wants to understand his data and create a graphical representation of his data. Rattle and R are tools closer to statistics and some functionalities, like the correlations analysis, are very powerful; for this reason, we've introduced EDA using Rattle. After the next chapter, you'll be able to choose the tool that you feel more comfortable with for each task.

We'll continuing exploring data in the next chapter. After the next chapter, we'll start creating predictions with our data.