Congratulations, you have now created your first DataFrame using the pandas library! We started the chapter by introducing you to the concepts of structured tabular data and the different techniques available to manipulate it by transposing and pivoting the data. More importantly, we discussed the importance of why data should be in tabular form. We then introduced the pandas library and defined a DataFrame, and demonstrated the many benefits of this powerful feature that are available for you during data analysis. In the handling of essential data formats, we went through the different data formats available by going through the details of the CSV, XML, and JSON file formats. Before we ended the chapter by creating our first DataFrame, we discussed the importance of data dictionaries and how different data types improve your data literacy, as well as why they are important before, during, and after the data analysis workflow has completed.
In the next chapter...
