Data visualization
Data visualization is the phase where you will create visuals and charts to better communicate the findings of your analysis to business users. A picture is worth a thousand words and an idea/message can be better communicated with charts/dashboards than tables/text data.
Visualization with Python libraries
In this section, we will explore creating dashboards using Python libraries such as matplotlib (https://matplotlib.org/) and Seaborn (https://seaborn.pydata.org/index.html). There are more Python libraries that can help in visualizing data, but we will not compare all those libraries here.
We will use the same sports dataset for this section as well. There are other datasets such as NY taxi trips datasets that we can use to cover different visualization aspects, but we will use the sports data for continuity purposes in this chapter. Let us consider a use case, where we want to visualize the following requirements:
- The number of tickets sold on...
