Python: Data Analytics and Visualization

Summary

In this chapter we have looked at ways to manipulate data frames, from cleaning and filtering, to grouping, aggregation, and reshaping. Pandas makes a lot of the common operations very easy and more complex operations, such as pivoting or grouping by multiple attributes, can often be expressed as one-liners as well. Cleaning and preparing data is an essential part of data exploration and analysis.

The next chapter explains a brief of machine learning algorithms that is applying data analysis result to make decisions or build helpful products.

Practice exercises

Exercise 1: Cleaning: In the section about filtering, we used the Europe Brent Crude Oil Spot Price, which can be found as an Excel document on the internet. Take this Excel spreadsheet ...