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An Introduction to Data Visualization with R and ggplot2

June 28, 2017 @ 10:00 am - 12:00 pm

The R programing language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s rich and powerful data visualization capabilities. While tools like Excel, Power BI, and Tableau are often the go-to solutions for data visualizations, none of these tools can compete with R in terms of the sheer breadth of, and control over, crafted data visualizations.

As an example, R’s ggplot2 package provides the R programmer with dozens of print-quality visualizations – where any visualization can be heavily customized with a minimal amount of code.

In this webinar Dave Langer will provide an introduction to data visualization with the ggplot2 package. The focus of the webinar will be using ggplot2 to analyze your data visually with a specific focus on discovering the underlying signals/patterns of your business.

Attendees will learn how to:

  • Craft ggplot visualizations, including customization of rendered output.
  • Choose optimal visualizations for the type of data and the nature of the analysis at hand.
  • Leverage ggplot2’s powerful segmentation capabilities to achieve “visual drill-in of data”.
  • Export ggplot2 visualizations from RStudio for use in documents and presentations.

R code and accompanying dataset will be made available prior to the webinar via GitHub for attendees interested in following along during the webinar.

Bio: Dave is a veteran BI, analytics, and data science professional. He is currently the VP of Data Science at Data Science Dojo, focusing on growing the educational services practice. Previously, Dave was a Sr. Director for BI and Analytics at Microsoft where he managed a team that owned the mission-critical data platforms used to run Microsoft’s $10+ Billion supply chain. Dave’s current passions are text analytics, event log mining, and mathematical programming. Dave holds a MS in Computer Science and a BA in Economics from the University of Washington.


June 28, 2017
10:00 am - 12:00 pm


Go To Meeting
Online Webinar

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