# Data Visualization Using Ggplot2: Part 1 R is a powerful tool for statistical computing, but its base capabilities for graphics can be limited, and complicated plots often require a considerable amount of code. Ggplot2 is a popular package that extends R’s capability for data visualization, allowing users to produce attractive and complex graphics in a relatively simple way. This workshop will introduce the logic behind ggplot2 and give users hands-on experience creating data visualizations using this package. This session will also discuss data formatting requirements for ggplot2, as well related tools creating interactive graphics from this syntax (such as plotly, https://plot.ly/feed/). While basic familiarity with R will be helpful, no prior experience with ggplot2 is required. At the end of this workshop, participants should: 1. Understand the basics of the "grammar of graphics" underlying ggplot2's functionality 2. Be able to create a variety of reproducible data visualizations in R, such as histograms, line charts, scatter plots, heatmaps, and density plots 3. Know multiple ways to visualize data by groups, including color labeling and faceting The morning workshop will cover the basics of ggplot2, the afternoon workshop will pick up where the morning workshop left off, and will involve a hands on activity to apply/stretch your ggplot2 skills, specifically in the areas of customizing the look of a graph. # Data Visualization Using Ggplot2: Part 2 The workshop will cover the basics of ggplot2 with the afternoon workshop picking up where the morning workshop left off, and will involve a hands on activity to apply/stretch your ggplot2 skills, specifically in the areas of customizing the look of a graph. October 2017
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