3.6 Dust in the Wind: Visualization and Environmental Problems.3.5.2 Hans Rosling’s 200 Countries, 200 Years, 4 Minutes.3.4 Visualizing Urban Data for Social Change.3.3.4 How People Like You Spend Their Time.3.3.1 Young Voters, Class and Turnout: How Britain Voted in 2017.2.8 Contemporary Research Results & What’s Next.2.7.4 Handbooks to improve your visualization design.2.7.3 Developing a Data Visualization Style.2.7.2 Infographics vs. Data Visualizations.2.7.1 Typography and Data Visualization.2.7 Implications of Good Data Visualization.2.6.1 Data Mining and Data Visualization.2.5.3 Corporate Scorecards and Data Visualization.2.5.2 How visualization impacts Industry/business.2.4.4 R for Data Visualization: Grammar of Graphics.2.4.3 Python for Data Visualization:10 Useful Python Data Visualization Libraries.2.4.1 Brief Description of popular tools.2.2.6 Adapt your story to a different set of audiences.2.2.2 How to choose the best form of Visualization.2.1.1 Melissa Anderson’s Principles of Design.1.6.4 Useful Links on Data Visualization Resources, Trends, and Tutorials. 1.6 Additional Resources for Aspiring Data Visualists.
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