megmuni · Oct 16, 2026 · Oct 16, 2026 · Oct 19, 2026 · Oct 19, 2026 · Oct 19, 2026
diff --git a/AdvancedDataVisualization.Rproj → DataVisualizationInR.Rproj b/AdvancedDataVisualization.Rproj → DataVisualizationInR.Rproj
diff --git a/Exercises/data/GSE164073_Eye_count_matrix.csv.gz b/Exercises/data/GSE164073_Eye_count_matrix.csv.gz
diff --git a/Exercises/data_visualization_code.Rmd b/Exercises/data_visualization_code.Rmd
diff --git a/Exercises/data_visualization_code.html b/Exercises/data_visualization_code.html
diff --git a/Exercises/workshop_setup.R b/Exercises/workshop_setup.R
@@ -2,7 +2,7 @@
 # List of required packages
 packages <- c("dplyr", "tidyverse", "ggplot2", "ggridges", "datasauRus", 
               "colorspace", "pheatmap", "survival", "survminer", "qqman", 
-              "plotly", "gganimate", "gifski", "palmerpenguins", "gapminder", 
+              "plotly", "gganimate", "ggrastr", "gifski", "palmerpenguins", "gapminder", 
               "shiny", "DT", "shinydashboard")
 
 # Install missing packages

diff --git a/Outline/MiCM - Data Visualization in R.docx b/Outline/MiCM - Data Visualization in R.docx
diff --git a/Outline/MiCM - Data Visualization in R.pdf b/Outline/MiCM - Data Visualization in R.pdf
diff --git a/README.md b/README.md
@@ -1,36 +1,28 @@
-# Advanced Data Visualization in R Workshop
-**Date: February 21, 2025**
+# Data Visualization in R
 
-**Time: 1PM-3PM ET**
-
-**Instructor: Han Yu**
-
-**Facilitators: Adrien Osakwe & César Miguel Valdez Córdova**
+**Date: October 27, 2026**
 
 ## Description
 
 This workshop will introduce participants to creating flexible, aesthetic and informative visualizations in R for statistical computing through the Grammar of Graphics framework. The seminar explores the fundamental concepts and structure of ggplot2 commands and will guide you in selecting the most effective visualizations for your data. Moving to advanced customization, participants will learn techniques for transforming data with scales, using faceting for complex comparisons, and enhancing visual aesthetics through themes and formatting options.
 
 The seminar will also dive into specialized plots (e.g., heatmaps, Kaplan-Meier curves) and explore interactive features using the plotly package and showcase extending the former through the Shiny web application framework. The workshop will emphasize the importance of working with and understanding your data, to allow for tailoring visualizations to extract the most out of your data for your audience, equipping participants with a versatile toolkit for effective data storytelling.
 
-## Pre-requisites
-
-1.  Previous experience with R 
-
-2.  Previous experience with basic *ggplot2* functionalities 
+## Requirements
 
-3.  Experience with data manipulation using *dplyr* is recommended
+1.	Previous experience with R (basic understanding of syntax, data structures (data frames), and running scripts)
+1.	Experience with data manipulation using dplyr is recommended
 
 ## Setup
 
 To acquire the materials for the session, please run the `git clone` command with the repository URL:
 
-`git clone https://github.com/QLS-MiCM/Advanced-Data-Visualization`
+`git clone https://github.com/QLS-MiCM/Fall-2026-Bootcamp-Data-Visualization-in-R`
 
 Alternatively, please download the zip file from the blue `Code` button and extract the contents.
 
 Run the [workshop_setup.R](./Exercises/workshop_setup.R) script in the `Exercises/` folder to ensure all the required packages are installed.
 
 ## Acknowledgements
 
-We would like to thank the [Statistical Society of Canada](https://ssc.ca/en) and [instats](https://instats.org/) for their valued partnership in organizing and hosting this event.
+These materials have been adapted in part from content developed by Han Yu.
diff --git a/Slides/Cheatsheet/data-visualization cheatsheet.pdf b/Slides/Cheatsheet/data-visualization cheatsheet.pdf
diff --git a/Slides/Cheatsheet/data-visualization-cheatsheet.pdf b/Slides/Cheatsheet/data-visualization-cheatsheet.pdf
diff --git a/Slides/Cheatsheet/shiny-cheatsheet.pdf b/Slides/Cheatsheet/shiny-cheatsheet.pdf
diff --git a/Slides/Cheatsheet/shiny_cheatsheet.pdf b/Slides/Cheatsheet/shiny_cheatsheet.pdf
diff --git a/Slides/MiCM - DataVisInR.pdf b/Slides/MiCM - DataVisInR.pdf
diff --git a/Slides/AdvancedDataVisualization_Slides.pptx → Slides/MiCM - DataVisInR.pptx b/Slides/AdvancedDataVisualization_Slides.pptx → Slides/MiCM - DataVisInR.pptx