Download e-book for iPad: R Graphs Cookbook (2nd Edition) by Jaynal Abedin, Hrishi V. Mittal

By Jaynal Abedin, Hrishi V. Mittal

ISBN-10: 1783987758

ISBN-13: 9781783987757

Info visualization is likely one of the most vital projects within the info technology song. via potent visualization, we will be able to simply discover underlying styles between variables with no doing any refined statistical analysis.

Starting with a high-level evaluation of the R photographs procedure after which relocating via this sensible cookbook, you are going to leverage robust default R portraits and make the most of complex images platforms corresponding to lattice and ggplot2, the grammar of portraits. via analyzing huge datasets utilizing tableplot and lovely 3-dimensional visualizations, you are going to know the way to provide, customise, and put up complex visualizations utilizing this well known, and robust, framework.

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It has two columns: a date column and a sales column that shows the number of units sold. How to do it... Date(sales$date,"%d/%m/%y"), type="l", #Specify type of plot as l for line main="Unit Sales in the month of January 2010", xlab="Date", ylab="Number of units sold", col="blue") How it works... We read the contents of the file and saved it in an object called sales with the left arrow notation. It can take nine different values. The default value of type is "p," that is, points. If the type is not specified, R assumes that you want to plot points as it did in the scatter plot example.

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