From 326975371c466b73f84752a6e4ee61da7021a26e Mon Sep 17 00:00:00 2001 From: Chris Lo Date: Wed, 13 Nov 2024 15:11:22 -0800 Subject: [PATCH 1/2] Update 05-data-visualization.Rmd --- 05-data-visualization.Rmd | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/05-data-visualization.Rmd b/05-data-visualization.Rmd index eeae576..02e14ba 100644 --- a/05-data-visualization.Rmd +++ b/05-data-visualization.Rmd @@ -32,7 +32,7 @@ Categorical (between 1 categorical and 1 continuous variable) - Violin plots -[![Image source: Seaborn's overview of plotting functions](https://seaborn.pydata.org/_images/function_overview_8_0.png)](https://seaborn.pydata.org/tutorial/function_overview.html) +[![Image source: Seaborn\'s overview of plotting functions](https://seaborn.pydata.org/_images/function_overview_8_0.png)](https://seaborn.pydata.org/tutorial/function_overview.html) Why do we focus on these common plots? Our eyes are better at distinguishing certain visual features more than others. All of these plots are focused on their position to depict data, which gives us the most effective visual scale. @@ -180,6 +180,10 @@ plot = sns.displot(data=metadata, x="Age", hue="Sex", multiple="dodge", palette= ``` +## Other resources + +We recommend checking out the workshop [Better Plots](https://hutchdatascience.org/better_plots/), which showcase examples of how to clean up your plots for clearer communication. + ## Exercises Exercise for week 5 can be found [here](https://colab.research.google.com/drive/17iwr8NwLLrmzRj4a6zRZucETXpPkmDNR?usp=sharing). From 037d163e88feaaebf57b4128243818fab70f5d63 Mon Sep 17 00:00:00 2001 From: Chris Lo Date: Thu, 14 Nov 2024 09:53:49 -0800 Subject: [PATCH 2/2] Update config_automation.yml --- config_automation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/config_automation.yml b/config_automation.yml index 460f418..b54e4df 100644 --- a/config_automation.yml +++ b/config_automation.yml @@ -27,4 +27,4 @@ make-book-txt: yes # What docker image should be used for rendering? # The default is jhudsl/base_ottr:main -rendering-docker-image: 'jhudsl/base_ottr:main' +rendering-docker-image: 'jhudsl/ottr_python:main'