Real-world data sets are messy and complicated. This book shows students in social science and public management how to prepare these data sets for analysis, with detailed, step-by-step instructions. R and Python code is introduced gradually, providing readers with the tools they need to work with real data.

This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.