Graphics in R: Data Visualization and Data Analysis with R

Advance your data visualization skills using r packages. Master ggplot2, lattice, interactive plots with ggvis package

Created by: hi- mathstats
Quantitative Analysis , Data Science

What Will I Learn?

• Visualize real world datasets in the professional industries such as finance, health, insurance, marketing, sales
• How to visualize data with ggplot2 package
• Statistical Data visualizations with qplot function
• Statistical Data visualizations with ggplot function
• Master themes in R using ggplot2 package
• Master Faceting with facet_wrap() and facet_grid()
• Master scaling and guides R using scaling functions from ggplot2 package
• Use plot function in R to create histograms, box and whisker plots, scatterplots, pie charts, barplots
• Intermediate Data Visualization with the lattice package
• How to use lattice package to create grouped scatterplots, barcharts
• Master panel functions and high level functions in lattice package
• How to switch between Graphics devices in R
• Learn how to use ggvis package
• How to create interactive plots with ggvis package from shiny
• Create interactive scatterplots, histograms, boxplots with input slider from ggvis package
• Data Analysis with dplyr package
• Data Analysis with tidyr package
• Data Analysis with reshape package
• Factors in R and regular expressions
• Master 3D Scatterplots in R
• Use ggplot2 to visualize real world datasets
• Use lattice package to visualize real world datasets
• Create interactive plots from real world datasets with ggvis package

Requirements

• No R programming experience everything is explained
• Internet connection for installing R 4.2 and R Studio
• Eager to learn data visualization with R
• Not being in a rush to master everything at once!

Target audience

• Beginners in R programmers who are not in a rush to master everything at once
• Beginner R programmers who want to learn data visualization
• Absolute beginners in Programming
• University or college students wanting to learn data visualizations using R
• Post graduates students who are keen on using R for exploration and data analysis