Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Compiled PDF

20200602 The result is this PDF document shown below. Using a programming language (LaTeX) we are able to completely change the appearance of the document to suite specific purposes. Here the layout and style is quite generic, representing the defaults of LaTeX. These include the centering of the title, author and date, the title being in a larger font than the author and date, which are larger than the paragraph fonts, and so on. This can all be tuned, but can require more sophisticated programming or the use of plugin packages (like babel).