Vitor Bianchi Lanzetta - R Data Visualization Recipes

BIRMINGHAM - MUMBAI

Copyright 2017 Packt Publishing

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First published: November 2017

Production reference: 1201117

ISBN 978-1-78839-831-2

www.packtpub.com

Vitor Bianchi Lanzetta is a young economist and data science enthusiast. As soon as his graduation began at University of So Paulo, one of Latin America's most renowned universities, he was introduced to R by his statistics professor. it was love at first sight.

Since then, he has never stopped using it. He joined the university team to compete in the CFA Global Challenge, where he and his team had a whole valuation model translated into R along with a Monte Carlo simulation and a bunch of visualizations done through the language.

While researching commodity prices prediction, Vitor used R from adjusting simple conditional mean-based models to artificial neural networks, along with all the visualizations.

Radovan Kavick is the principal data scientist and president at GapData Institute based in Bratislava, Slovakia, where he harnesses the power of data and wisdom of economics for public good.

He is a macroeconomist by education and consultant and analyst by professional background, with 8+ years of experience in consulting for clients from public and private sectors. He has strong mathematical and analytical skills and is able to deliver top-level research and analytical work.

From MATLAB, SAS & Stata switched to Python, R & Tableau.

Radovan is a member of the Slovak Economic Association (SEA) and evangelist of open data, open budget initiative and open government partnership. He is founder of PyData Bratislava, R <- Slovakia, and SK/CZ Tableau User Group (skczTUG).

He is a speaker at @TechSummit (Bratislava, 2017) and @PyData (Berlin, 2017), and member of the global Tableau #DataLeader network (2017).

You can follow him on Twitter at @radovankavicky, @GapDataInst, or @PyDataBA. His full profile and experience are available at https://www.linkedin.com/in/radovankavicky/ and https://github.com/radovankavicky.

GapData Institute: https://www.gapdata.org

Practical Data Science,Data Visualization in Python, R & Tableau;Open Data and Public Administration in Slovakia

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Visualizations are amazing to investigate. You can explore data, reach insights, and transmit them directly to your audience. When several paragraphs may be needed to prove a point, good figures do it better in just a glance; they literally do. Fortunately, as computers keep evolving, crafting first-class graphs is not that difficult anymore.

R has proven itself an amazing tool for both data analysis and visualization. It all began by as an open source, well-designed, and multi-propose programming language that did not require much programming background to use. So, as R rose in popularity, a vivid and helpful community has also arisen.

The community itself has done much to keep improving the language. They have designed and shared tons of packages, which brings us to here and now. This book is full of examples on how to easily brew pretty graphics using very popular packages. It aims for teaching the nuts and bolts related to many different visuals, along with very useful tricks to adapt and enhance your figures.