With that, we have walked through many of the different concepts we covered throughout this book in one comprehensive exercise. In this chapter, we learned more about real-world data sources that can be used for analysis. We also created a repeatable workflow that can be summarized as a workflow that collects external data sources, joins them together, and then analyzes the results.Since we know the reality of working with data is never that straightforward, we walked through some inherent challenges of working with it. We have broken down the steps of collecting multiple sources, transforming them, and cleansing, joining, grouping, and visualizing the results. The more you work hands-on with data, the easier it is to apply these concepts to any dataset with the foundation remaining constant. As you increase your data literacy skills when it comes to working with data, you will notice the syntax and tools will change but that the challenges and opportunities to solve problems...
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