book · Zenodo (CERN European Organization for Nuclear Research) · 2025
Urban Data Analytics, Visualization, and Storytelling
Allen, Jeff, Greenberg, Julia, St-Louis, Evelyne, Zhang, Michelle, Kali, Aniket, Chapple, Karen
Cited by 0Open access
Abstract
An online textbook, written and created by the School of Cities at the University of Toronto. It is a combination of learning materials on data analytics, data visualization, and narrative techniques to make complex urban trends understandable and engaging for specific audiences, such as policymakers, funders, or community members. There are three core modules, each composed of several chapters and hands-on tutorials. Urban data storytelling: Craft compelling narratives about cities, in order to communicate research and key insights, inform policy-making, build public will, or advocate for change. Urban data analysis: Find, process, and analyze data via Python, spreadsheet software, and GIS aimed at deriving key findings and answering research questions. Urban data visualization: Learn a variety of strategies, methods, and practical tips for effective visual communication of urban data via a range of maps and charts.
Cite this paper
Allen, J., Greenberg, J., St-Louis, E., Zhang, M., Kali, A., & Chapple, K. (2025). Urban Data Analytics, Visualization, and Storytelling. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17912387
Allen, Jeff, et al. “Urban Data Analytics, Visualization, and Storytelling.” Zenodo (CERN European Organization for Nuclear Research), 2025, https://doi.org/10.5281/zenodo.17912387.
Allen, Jeff, Julia Greenberg, Evelyne St-Louis, Michelle Zhang, Aniket Kali, and Karen Chapple. 2025. “Urban Data Analytics, Visualization, and Storytelling.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17912387.
Allen, J. et al. (2025) ‘Urban Data Analytics, Visualization, and Storytelling’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.17912387.
@book{allen2025urban,
title = {{Urban Data Analytics, Visualization, and Storytelling}},
author = {Allen, Jeff and Greenberg, Julia and St-Louis, Evelyne and Zhang, Michelle and Kali, Aniket and Chapple, Karen},
publisher = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2025},
doi = {10.5281/zenodo.17912387}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.