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-This is a minimal example of a book based on R Markdown and **bookdown** (https://github.com/rstudio/bookdown). Please see the page "Get Started" at https://bookdown.org/ for how to compile this example.
+# Dataviz ressources
+
+## books 
+ [Interactive Data Visualization for the Web](http://shop.oreilly.com/product/0636920037316.do) , Scott Murray, O’Reilly (2017) 
+
+ [Visualization Analysis and Design](http://www.amazon.com/Visualization-Analysis-Design-Peters-Series/dp/1466508914) , Tamara Munzner, CRC Press (2014)
+
+ [The Functional Art: An introduction to information graphics and visualization](http://www.amazon.com/The-Functional-Art-introduction-visualization/dp/0321834739/) , Alberto Cairo, New Riders (2012)
+
+ [Visual Thinking for Design](http://www.amazon.com/Visual-Thinking-Kaufmann-Interactive-Technologies/dp/0123708966) , Colin Ware, Morgan Kaufman (2008)
+
+[Data Visualization](https://socviz.co)
+
+[Fundamentals of Data Visualization](https://serialmentor.com/dataviz/)
+
+## Cours
+https://lyondataviz.github.io/teaching/lyon1-m2/2016/pdfs/1_introduction.pdf
+[DataViz Cours Lyon1 M2 2018-2019](https://lyondataviz.github.io/teaching/lyon1-m2/2018/)
+
+[Resources: InfoVis @ UBC CS](http://www.cs.ubc.ca/group/infovis/resources.shtml)
+
+[Les données spatiales avec R](https://maeltheuliere.github.io/rspatial/creer-des-cartogrammes.html)
+
+
+## Web
+[WTF Visualizations](https://viz.wtf)
+
+[deck.gl](https://deck.gl/#/)
+
+[tuning ggplot themes](https://evamaerey.github.io/little_flipbooks_library/taming_themes_in_ggplot/taming_ggplot_themes.html#1)
+
+https://data.world
+
+[The Evolution of a ggplot (Ep. 1)-Cédric Scherer](https://cedricscherer.netlify.com/2019/05/17/the-evolution-of-a-ggplot-ep.-1/)
+
+
+## Talks 
+
+### Dataveyes
+[CAROLINE GOULARD & LUDOVIC RIFFAULT - OpenVis Conf 2018 - YouTube](https://www.youtube.com/watch?v=9aVUtluzvNE&feature=youtu.be)
+https://www.linkedin.com/in/carolinegoulard/
+
+
+
+
+## Packages 
+ggpubr: publication ready plots
+[‘ggplot2’ Based Publication Ready Plots • ggpubr](https://rpkgs.datanovia.com/ggpubr/)
+
+## Programme 
+### Lundi 
+* Cours 1
+	* Introduction visualisation : Quoi ? Pourquoi ? Qui ? Comment ?
+	* Types de datasets, types de données, sémantique, table data/autres
+* Lab 1 
+	* RStudio
+	* ggplot2, grammar of graphics 
+### Mardi
+#### Matin
+* Cours 2 
+	* Perception: système visuel, marques et canaux, couleurs 
+	* Abstraction de tache 
+* Lab 2
+	* tidy data, wrangling
+	* ggplot2
+#### Après-midi
+* Cours 3
+	* Principes de design 
+	* Visualisation de données tabulaires
+* Lab 3
+	* Presentation du projet
+	* Web scraping
+	* Recherche de dataset
+### Mercredi
+#### Matin
+* Cours 4
+	* Visualisation de données tabulaires
+	* Interaction
+* Lab 4
+	* tidy data
+#### Après-midi
+* Cours 5
+	*  Visualisation de données spatiales 
+
+* Lab 5
+	* maps, leaflet
+### Jeudi
+#### Matin
+* Cours 6
+	* Visualisation de graphs
+* Lab 6
+	* networks
+#### Après-midi
+* Cours 7
+	* Visualisation de texte
+* Lab 7
+	* tidy text, word embeddings, …
+### Vendredi
+#### Matin
+* Cours 8
+	* Visualisation de données temporelles 
+* Lab 8
+	* séries temporelles 
+#### Après-midi
+* Lab 9
+	* projet
+
+
+
+
+
+
+