PhD+ Data Science Essentials in R: Data Visualization

Office of Graduate & Postdoctoral Affairs

The <A HREF="https://www.library.virginia.edu/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">UVA Library’s</A> <A HREF="https://data.library.virginia.edu/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Research Data Services Team</A> is partnering with UVA’s <A HREF="http://phdplus.virginia.edu/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">PhD Plus program</A> to pilot a new module – Data Science Essentials in R – a six-session series to build data analysis, wrangling, and visualization skills.
Data Visualization in R - Exploring our data with graphs allows us to visualize relationships, spot unusual observations, or find unexpected patterns. In this workshop we introduce how to effectively use the ggplot2 package to explore and visualize data in R. With its consistent syntax and layered approach to making graphics, ggplot2 has revolutionized data visualization. What previously would have required hours of tedious programming can now be accomplished in a few lines of ggplot2 code. This workshop will introduce the logic behind ggplot2, how to use ggplot2 to explore your data, and how to customize and polish ggplot2 graphs. Prerequisites: basic experience using R at the level of our Intro to R workshop.

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PhD+ Data Science Essentials in R: Data Visualization

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