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999			_c119333 _d119333
003			OSt
005			20210120100609.0
008			200107b ||||| |||| 00| 0 eng d
020			_a9789352138111
040			_c
082			_a001.4226 _bWIL
100			_aWilke, Claus O. _946546
245			_aFundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
260			_bShroff Publishers & Distributors Pvt. Ltd. _c2019 _aSebastopol
300			_a370p
500			_a1. Introduction Part I. From Data to Visualization 2. Visualizing Data: Mapping Data onto Aesthetics 3. Coordinate Systems and Axes. 4. Color Scales. 5. Directory of Visualizations. 6. Visualizing Amounts 7. Visualizing Distributions: Histograms and Density Plots. 8. Visualizing Distributions: Empirical Cumulative Distribution Functions and Q-Q Plots 9. Visualizing Many Distributions at Once 10. Visualizing Proportions 11. Visualizing Nested Proportions 12. Visualizing Associations Among Two or More Quantitative Variables 13. Visualizing Time Series and Other Functions of an Independent Variable 14. Visualizing Trends 15. Visualizing Geospatial Data 16. Visualizing Uncertainty Part II. Principles of Figure Design 17. The Principle of Proportional Ink 18. Handling Overlapping Points 19. Common Pitfalls of Color Use 20. Redundant Coding 21. Multipanel Figures 22. Titles, Captions, and Tables 23. Balance the Data and the Context 24. Use Larger Axis Labels 25. Avoid Line Drawings 26. Don’t Go 3D Part III. Miscellaneous Topics 27. 27. Understanding the Most Commonly Used Image File Formats. 28. Choosing the Right Visualization Software. 29. Telling a Story and Making a Point
600			_aVisualization - Data processing _946547
942			_2ddc _cLB _k001.4226 _mWIL