Data analysis
The following is the definition of data analysis given by Wikipedia:
"Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making."
In the Python scientific computing community, the definition tends to lean away from the software business applications and more towards a statistical analysis. In this section, while we will see a little math, our purpose is not to engage in a rigorous exploration of mathematical analysis, but rather provide a plausible context for using various tools in the matplotlib ecosystem that assist in high-level plotting and various related activities.
Pandas, SciPy, and Seaborn
We've just learned more about Seaborn, and we'll be working more with it in this section. We've used Pandas a bit, but haven't formally introduced it, nor SciPy.
The Pandas project describes generic Python as a great tool...
