![]() ![]() This first subsection focuses on useful, rather than attractive graphs, since this subsection focuses on exploring rather than presenting data. While the structure of ggplot2 code differs substantially from that of base R graphics, it offers a lot of power for the required effort. Objects created with ggplot2 can also be extensively customized with ggplot2 functions (more on that in the next subsection), and because ggplot2 is built using grid graphics, anything that cannot be customized using ggplot2 functions can often be customized using grid graphics. The ggplot2 package allows you to quickly plot attractive graphics and to visualize and explore data. 4.7.4 Example: Normal Confidence Intervals.4.7.2 Example: An Automatic Transparency Geom.4.5.6 Find out more about grid graphics.4.3.5 Where to find more on mapping with R.4.3.4 More advanced mapping – Spatial objects.3.10.1 Web Services for Continuous Integration. ![]() 3.8.5 Linking local repo to GitHub repo.3.5 Software Testing Framework for R Packages.3.4.3 Common Markdown formatting elements.2.10.2 Compose simple functions with the pipe.2.10 Gaining Your ‘tidyverse’ Citizenship.2.5.3 When to generate errors or warnings.2.3.2 Core Functional Programming Functions.1.10.1 How to Google Your Way Out of a Jam.1.8.1 Back of the Envelope Calculations.1.7 Text Processing and Regular Expressions.1.6.2 Pulling out date and time elements.1.6.1 Converting to a date or date-time class.1.6 Working with Dates, Times, Time Zones.1.5.4 Adding, changing, or renaming columns.1.4.2 Requesting data through a web API.1.3 Reading Tabular Data with the readr Package. ![]()
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