Data visualization can be tricky, however, it's the biggest tool you have to make an impact on people as a data scientist! Most people prefer a great visualization over a table (maybe not accountants) In this presentation, we will go through a brief history of data visualization, examples of poor visuals as well as ways to improve them. We will touch on the ggplot2 package in R if you're looking for coding tips.
Scott Stoltzman has been actively working in analytics for 5 years and has a strong background in R and data visualization techniques.
Blog: https://www.stoltzmaniac.com
Consulting: https://www.stoltzmanconsulting.com