FSCI-AM7: DataViz in R with ggplot2

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This is an introduction to creating figures in R using the package ggplot2. We will show how to read data into R using a few sources, including the data repository Dataverse. We then will introduce ggplot2, which we think provides an elegant and lego-like way to provide an introduction to dataviz. It implements a grammar of graphics that lets users layer graphical elements in a modular and adaptable way.
This material was taught at the  FORCE11 Scholarly Communication Institute (FSCI), La Jolla, CA, 31 July - 04 August (Session AM7).  The material is a Sspplement to https://github.com/ucla-data-archive/am7-fsci-data-viz/tree/v1.0.  

Authoring Person(s) Name: 
Tim Dennis
Authoring Organization(s) Name: 
University of California, Los Angeles Library
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Tim Dennis. (2017, September). FSCI-AM7: DataViz in R with ggplot2. Zenodo. http://doi.org/10.5281/zenodo.883649
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data visualization
Data visualization tools
R software
Published / Broadcast: 
Saturday, September 2, 2017
ID - identifier that provides the means to locate the learning resource or its citation: 
Type - namespace prefix for the citable locator, if any: 
Publisher - organization credited with publishing or broadcasting the learning resource: 
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Person(s): 
Tim Dennis
Contact Organization(s): 
University of California, Los Angeles Library
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Citizen scientist
Data manager
Data professional
Graduate student
Research faculty
Research scientist
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)