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teaching:progappchim:matplotlib_simple [2022/09/29 08:13] – [Références] villersd | teaching:progappchim:matplotlib_simple [2022/10/20 09:16] – villersd |
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| ===== Références générales sur les graphiques et visualisations ou représentations visuelles ===== |
| * Principes généraux, histoire,... |
| * [[https://www.edwardtufte.com/tufte/books_vdqi|The Visual Display of Quantitative Information]] Edward Tufte |
| * [[http://www.openculture.com/2019/07/napoleons-disastrous-invasion-of-russia-explained-in-an-1869-data-visualization.html|Napoleon’s Disastrous Invasion of Russia Detailed in an 1869 Data Visualization: It’s Been Called “the Best Statistical Graphic Ever Drawn”]] |
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| * Articles intéressants : |
| * [[https://medium.com/python-in-plain-english/pie-chart-basics-with-pythons-matplotlib-972637f3c53e|Pie Chart Basics with Python’s Matplotlib]] |
| * [[https://towardsdatascience.com/6-reasons-why-you-should-stop-using-histograms-and-which-plot-you-should-use-instead-31f937a0a81c|6 Reasons Why You Should Stop Using Histograms (and Which Plot You Should Use Instead)]] Histograms are not free of biases. Actually, they are arbitrary and may lead to wrong conclusions about data. If you want to visualize a variable, better to choose a different plot. Samuele Mazzanti, Medium, 24/01/2021 |
| * [[https://towardsdatascience.com/hands-on-guide-to-create-beautiful-sankey-charts-in-d3js-with-python-8ddab43edb43|Hands-on Guide to Create beautiful Sankey Charts in d3js with Python - The Sankey chart is a great way to discover the most prominent contributions just by looking at how individual items flow across states]] Erdogan Taskesen, Medium, 19/10/2022 |
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==== Exemples ==== | ==== Exemples ==== |