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LEARNING PATH: R: Complete Data Visualization with R
Free Download Udemy LEARNING PATH: R: Complete Data Visualization with R. With the help of this course you can Grasp the visualization capabilities of R to build interactive graphs, plots, and pie charts.
This course was created by Packt Publishing. It was rated 4.4 out of 5 by approx 7099 ratings. There are approx 48564 users enrolled with this course, so don’t wait to download yours now. This course also includes 5.5 hours on-demand video, 1 Supplemental Resource, Full lifetime access, Access on mobile and TV & Certificate of Completion.
What Will You Learn?
Create simple and quick visualizations using the basic graphic tools in R
Implement interactive visualizations using ggplot2
Perform predictive modeling and create animated applications
Visualize data using different kind of Maps
Learn to create Plot function and merge multiple charts
Create presentations and learn the basics of creating apps in R
Introduce users to basic R functions and data manipulation techniques while creating meaningful visualizations
Make sense of data by adding elements, text, animation, and colors to your plot
Generate sunflower plots, hexbin plots, Chernoff faces, and so on
Master network, radial, and coxcomb plots
R is one of the most widely used language for data and graph analysis. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better. This Learning Path is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. So, if you’re a data science professional and want to learn about the powerful data visualization techniques of R, then go for this Learning Path.
Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
The highlights of this Learning Path are:
Create simple and quick visualizations using the basic graphic tools in R
Visualize data using different kind of Maps
Generate sunflower plots, hexbin plots, Chernoff faces, and so on
Explore network, radial, and coxcomb plots.
Let’s take a quick look at your learning journey. You will start with the basics of R plots and an introduction to heat maps and customizing them. After this, you will learn to create interactive maps using the googleVis package. You will then generate choropleth maps and contouring maps, bubble plots, and pie charts. Next, you will dive into constructing 3D plots and be introduced to packages such as rgl and animation, which are used to create interactive 3D plots. Moving forward, you will focus on techniques to create word clouds, phase tree, and comparison clouds in R. You will also learn how to use the XKCD package to introduce humor in visualizations. Finally, you will be using the XML package to extract and visualize data as well as using shiny package used to create interactive applications.
On the completion of this Learning Path, you will be well versed with powerful data visualization techniques of R that you can incorporate in your applications.
Meet Your Expert:
We have the best works of the following esteemed author to ensure that your learning journey is smooth:
Atmajit Singh Gohil works as a senior consultant at a consultancy firm in New York City. After graduating, he worked in the financial industry as a Fixed Income Analyst. He writes about data manipulation, data exploration, visualization.
He has a master’s degree in financial economics from the State University of New York (SUNY), Buffalo. He also graduated with a Master of Arts degree in economics from the University of Pune, India. He loves to read blogs on data visualization and loves to go out on hikes in his free time.
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