R is a programming language and software environment for statistical
computing and graphics supported by the R Foundation for Statistical
Computing. The R language is widely used among statisticians and data
miners for developing statistical software and data analysis.
video delivers viewers the ability to conduct data analysis in
practical contexts with R, using core language packages and tools. The
end goal is to provide analysts and data scientists a comprehensive
learning course on how to manipulate and analyse small and large sets of
data with R. It will introduce how CRAN works and will demonstrate why
viewers should use them.
You will start with the most basic
importing techniques, to downloading compressed data from the web and
learn of more advanced ways to handle even the most difficult datasets
to import. Next, you will move on to create static plots, while the
second will show how to plot spatial data on interactive web platforms
such as Google Maps and Open Street maps. Finally, you will learn to
implement your learning with real-world examples of data analysis.
This video will lay the foundations for deeper applications of data analysis, and pave the way for advanced data science.
About The Author
Fabio Veronesi obtained a Ph.D. in digital soil mapping from Cranfield University and then moved to ETH Zurich, where he has been working for the past three years as a postdoc. In his career, Dr. Veronesi worked at several topics related to environmental research: digital soil mapping, cartography and shaded relief, renewable energy and transmission line siting. During this time Dr. Veronesi specialized in the application of spatial statistical techniques to environmental data.