Welcome to the Data Visualization with R course! This program is designed to help you master the art of transforming data into compelling visual stories using the powerful R programming language. Whether you're a beginner or an experienced analyst, this course will equip you with essential skills to create impactful plots and dashboards.
🎯 Course Objectives
- Learn to use R for data visualization
- Understand key concepts like data storytelling and visual clarity
- Explore popular R packages:
ggplot2,plotly,shiny - Create interactive visualizations and reports
- Apply best practices for data-driven decision making
📘 Course Structure
Introduction to R Visualization
- Basics of R and RStudio
- Installing necessary packages
- First visualization: scatter plots & bar charts
Advanced Plotting Techniques
- Customizing plots with
ggplot2 - Adding annotations and themes
- Creating multi-panel figures
- Customizing plots with
Interactive Visualizations
- Building dashboards with
shiny - Real-time data updates
- Deploying visualizations online
- Building dashboards with
Data Storytelling
- Choosing the right visualization type
- Designing for audience engagement
- Exporting high-quality graphics
📚 Recommended Resources
- R Programming for Data Science (Prerequisite course)
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham
- Data Visualization: A Practical Introduction (Interactive tutorials)
📈 Example Visualizations
For hands-on practice, explore our R Programming for Data Science course to build a strong foundation before diving into visualization techniques. 🚀