The course is divided in two parts.
At the beginning, I will talk about general concepts of visualization.
There is a link below to retrieve the slides.
Then I will try to give you some feebacks from the plotting library, tips and reusable codes (I hope so)...
The second part is more technical.
There is 5 modules, 5 notebooks about different topics.
During each one, try to save one figure you will organize in a final panel that you will send me back.
I'll send you an empty one with publication ready dimensions.
How the session is organized ? - 1h30
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Generalities ( Slides ~20 mins )
- WhoAmI
- Libraries in Python
- Figures in Science
- Guidelines
- Plots
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Hands-on Seaborn ( Jupyter Notebook ~15 mins / topic )
- Simple plots
- Composite Plots
- Heatmaps
- Multidimensionality (Binary or Multiclass examples)
- A little Transgression with R
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Create your own scientific panel of figures. ( ~ 10 mins )
- Inkscape / PowerPoint
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Module 3 : Heatmap, Dendogram & ClusterHeatmap. (20 min)
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Module 4 : PCA & T-SNE (Module4b is a model to resolve exercise 4a). (20 min)
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Module 5 : Examples in R (removed this year).
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Module 6 : A simple Venn Diagram (20 min)