R for Data Analysis in easy steps shows how to use R programming to analyze data to gain useful insights into patterns and trends, to enable better decision-making. This primer begins by explaining data analysis and core principles of the R programming language, then shows how to: Store and manipulate data in Matrices from which useful plots and graphs can be created. Import data sets into Data Frames from which insightful data visualizations can be created. Create line graphs, bar charts, histograms, scatter and box plots by following the examples. Use the grammar of graphics to present the data visualizations and gain deeper insights. By the end of this book, you'll have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce attractive visualizations for data analysis - use the free downloadable example R code to get started straightaway! Book jacket.
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