Chapter 24. Exploring data
This chapter covers
- Python’s advantages for handling data
- Jupyter Notebook
- pandas
- Data aggregation
- Plots with matplotlib
Over the past few chapters, I’ve dealt with some aspects of using Python to get and clean data. Now it’s time to look at a few of the things that Python can help you do to manipulate and explore data.
24.1. Python tools for data exploration
In this chapter, we’ll look at some common Python tools for data exploration: Jupyter notebook, pandas, and matplotlib. I can only touch briefly on a few features of these tools, but the aim is to give you an idea of what is possible and some initial tools to use in exploring data with Python.
24.1.1. Python’s advantages for exploring data
Python has become ...
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