10.4 Working with dataframes

So far, we have seen how to create and modify a dataframe. Now, we turn to data interpretation. We will look at examples of visualization, show how to make simple calculations, and see how to group data. These are all stepping stones into the world of pandas. The strength of this module is in its large range of statistical tools. We leave the presentation of these tools to textbooks on practical statistics, while we focus here on the basic principles of pandas programming. We do not aim for completeness. Again, let's serve an appetizer.