Regardless of whether the data source is from a file or database, we have now defined a repeatable analysis workflow. This is used to load the data into either an array or DataFrame and then answer business questions by running a few Python commands using their respective libraries.
This process has served us well so far and is a necessary step to up-skill our learning of how to work with data, which ultimately improves data literacy.Now, we are going to take yet another exciting step to help you communicate analysis by visualizing your data. In this chapter, we will learn how to create visual artifacts that can support structured data. We will break down the anatomy of a chart by uncovering the fundamentals of how data visualizations are created. Using the plotting features available in Python, you will create your first time series chart using the matplotlib library.
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