Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data.
Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data.
Robert Grant is a British statistician specialising in data visualization and Bayesian models. He worked in biomedical research and taught statistics at St George's Medical School, Kingston University, the Royal College of Physicians of London, and the National Institute for Health and Care Excellence before launching his own training and coaching business, BayesCamp, in 2017.
Inhaltsangabe
Section I The basics 1. Why visualise? 2. Translating numbers to images Section II Statistical building blocks 3.Continuous and discrete numbers 4.Percentages and risks 5. Showing data or statistics 6. Differences, ratios, correlations Section III Specific tasks 7.Visual perception and the brain 8. Showing uncertainty 9. Time trends 10. Statistical predictive models 11. Machine learning techniques 12. Many variables 13. Maps and networks 14. Interactivity 15. Big data 16. Visualisation as part of a bigger package Section IV Closing remarks17. Some overarching ideas
Section I The basics 1. Why visualise? 2. Translating numbers to images Section II Statistical building blocks 3.Continuous and discrete numbers 4.Percentages and risks 5. Showing data or statistics 6. Differences, ratios, correlations Section III Specific tasks 7.Visual perception and the brain 8. Showing uncertainty 9. Time trends 10. Statistical predictive models 11. Machine learning techniques 12. Many variables 13. Maps and networks 14. Interactivity 15. Big data 16. Visualisation as part of a bigger package Section IV Closing remarks17. Some overarching ideas
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