From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Data cleaning is one of the fundamental steps in crafting a good and successful visualization. In this lesson, we're going to explore pandas and how we can use it to slice and dice our data to make sure we have the proper data set that we're trying to visualize. We're going to start by exploring data frames and series, which are the fundamental data structures of pandas, before looking into different ways of aggregating the data using group by and pivot tables, how to merge and combine different data frames using join and merge, before finally generating some quick and dirty visualizations using the plot function.

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