-
Gain insight into how data scientists visualize data using some of the most popular R packages
-
Understand how to apply useful data visualization techniques in R for real-world applications
-
Build an assortment of interactive maps, reports, and more
-
Make your visualizations interactive using R
The R language is a powerful open source functional programming language. R is becoming the go-to tool for data scientists and analysts. Its growing popularity is due to its open source nature and extensive development community.
This course has been designed to include topics on every possible requirement from a data scientist and it does so in a step-by-step and practical manner.
We will start by focusing on “ggplot2” and show you how to create advanced figures for data exploration. We will then move on to customizing the plots and then cover interactive plots. We will then cover time series plots, heat maps, dendograms. We will then look at maps and how to make them interactive. We will then turn our attention to building an interactive report using the “ggvis” package and publishing reports and plots using Shiny. Finally, we will cover three-dimensional plots and data in higher dimensions which will complete our extensive tour of the data visualization capabilities possible using R.
By the end of the course, you will have an armor full of different visualization techniques, with the capacity to apply these abilities to real-world datasets.
This is that one course that includes all, widely-used and niche, topics and concepts related to R data visualization.
This Integrated Course is useful whether someone is a hobbyist, analyst, an aspiring or professional data scientist, or even learning data visualization for the first time. Those already familiar with the basics of R, but want to learn to utilize the full power of R’s data visualization capabilities will also find this Integrated Course a match for their needs.
-
Create professional data visualizations and interactive reports
-
Deepen your knowledge by adding bar-charts, scatterplots, and time series plots using ggplot2
-
Enhance the user experience using dynamic visualisation
-
Test your coding limits by creating stunning interactive plots for the web