This is a textbook to learn how to analyze cultural phenomena using computational methods.
It follows the principles of Open Science to teach you how to conduct research that is ethical, methodologically solid, and accessible. Topics covered include:
- theory development
- data management
- data collection
- data analysis
- data visualization.
We believe that none of these aspects should be disregarded in a cultural analytics project that aims at being truly Open.
The programming language used is Python (code in R will be published later). There are discursive sections and interactive Jupyter Notebooks to let you learn-by-doing.
Some of the pages of this guide have been originally created by others and authorship is attributed on indivdual pages:
- The Turing Way handbook to reproducible, ethical and collaborative data science, initiated by The Alan Turing Institute, licensed under CC BY 4.0 License
- Introduction to Cultural Analytics & Python by Melanie Walsh, licensed under CC BY-NC-SA 4.0 License
Shield:
This work, created by Federico Pianzola and Paschalis Agapitos, and with the University of Groningen as the copyright holder, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
