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Advanced visualization and graphing are built into many popular statistical and data tools, such as R, Python, and Javascript. However, many of these powerful tools require knowledge of the programming language, which can be a barrier for those looking to create quick, accessible, visualizations for publication. Many non-coding data visualization tools are not ideal for research, as they require many manual steps, allow little customization, and offer little to no documentation of how plots were created. This workshop will introduce attendees to best practices for data visualization, considerations for accessibility, and tips for reproducible visualizations for research. We will conclude with a discussion and demonstration of three graphing tools: ggPlot GUI, Plotly, and Microsoft Excel.
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