Summary
In this final chapter, you got hands-on practice with different data processing tasks done on real-world datasets. In the first dataset, you explored different methods of data processing. Some of the key methods implemented were for converting from wide format to long format, merging two DataFrames, and imputing missing data using the interpolate method.
With the second dataset, you practiced preprocessing tasks before plotting, such as grouping and aggregation, and converting continuous data into categorical data using binning. You also answered questions about the data using line plots and bar charts.
Using the third dataset, you extracted geolocations from latitude and longitude information. After extracting geolocation information, you also answered some questions on the service level of bus routes.
Finally, with the fourth dataset, we used different methods to preprocess data to build a classification model. You should now be able to confidently tackle most data...
