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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making

(ebook) (audiobook) (audiobook) Książka w języku angielskim
R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making Vitor Bianchi Lanzetta - okladka książki

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making Vitor Bianchi Lanzetta - okladka książki

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making Vitor Bianchi Lanzetta - audiobook MP3

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making Vitor Bianchi Lanzetta - audiobook CD

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R is an open source language for data analysis and graphics that allows users to load various packages for effective and better data interpretation. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions.

This book is an update to our earlier R data visualization cookbook with 100 percent fresh content and covering all the cutting edge R data visualization tools. This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization using R. It starts off with the basics of ggplot2, ggvis, and plotly visualization packages, along with an introduction to creating maps and customizing them, before progressively taking you through various ggplot2 extensions, such as ggforce, ggrepel, and gganimate. Using real-world datasets, you will analyze and visualize your data as histograms, bar graphs, and scatterplots, and customize your plots with various themes and coloring options. The book also covers advanced visualization aspects such as creating interactive dashboards using Shiny

By the end of the book, you will be equipped with key techniques to create impressive data visualizations with professional efficiency and precision.

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O autorze książki

Vitor Bianchi Lanzetta (@vitorlanzetta) has a master's degree in Applied Economics (University of So PauloUSP) and works as a data scientist in a tech start-up named RedFox Digital Solutions. He has also authored a book called R Data Visualization Recipes. The things he enjoys the most are statistics, economics, and sports of all kinds (electronics included). His blog, made in partnership with Ricardo Anjoleto Farias (@R_A_Farias), can be found at ArcadeData dot org, they kindly call it R-Cade Data.

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