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Informationen zum Autor Jose Manuel Magallanes Reyes has degrees in Computer Science, Public Management and Psychology. He has a second Ph.D. (Computational Social Science) from George Mason University, where he is an Affiliated Researcher at the Center for Social Complexity (GMU-CSC). He is currently Associate Professor at the Department of Social Sciences at Pontificia Universidad Católica del Perú; while also a Senior Data Science Fellow (eScience Institute), and a Visiting Professor (Evans School) at the University of Washington. He is a Catalyst Fellow at the University of California, Berkeley Initiative for the Transparency in the Social Sciences. His interdisciplinary work has been funded by the National Science Foundation via the CDI Program grant no. IIS-1125171 (granted by GMU-CSC), and via the EITM program (granted by Duke University in 2017). Since 2015, his work is funded by the Washington Research Fund, the Alfred P. Sloan Foundation, and the Gordon and Betty Moore Foundation (granted by the eScience Institute). Klappentext This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R. Zusammenfassung 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. Inhaltsverzeichnis Part I. Get Started: 1. Introduction; 2. Setting up the tools; 3. Basics of R and Python; Part II. Collect and Clean: 4. Collecting data; 5. Cleaning data; Part III. Format and Storage: 6. Formatting the 'clean' data; 7. Integrating and storing.
