Last weekend, I attended the Chicago R Unconference, a two day “hackathon” style event for R users and developers. In this talk, I’ll discuss the structure and function of an R unconf, and I’ll present my project with Angela Li and many others, the Unconf Toolbox, a Github organization providing structure and guidance so that future organizers have a guide for organizing an unconf.
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This week we will be discussing “The Re-Emergence of Emotional Appeals in Interactive Data Visualization” by Charles Kostelnick:
“I argue that emotional appeals, prevalent in charts and graphs during the later nineteenth century but largely dormant since then, have rapidly re-emerged in contemporary data visualization. Changing the relationship between designer and user, this new form of data design has intensified the affective impact of data displays by eliciting emotions ranging from excitement and empathy to anxiety and fear.
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Random forests are known for their accurate predictive abilities, but they are a part of the family of machine learning models that lack interpretability. A technique called LIME was developed to provide local interpretations for black-box predictive models. In this talk, I will explain the LIME procedure and show an application of LIME to predictions from a random forest model fit to a bullet matching dataset. I will present a Shiny app I created to view the LIME explanations.
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We were very fortunate to attend rstudio::conf() last month in Austin; this will be a presentation of our highlights. We will each describe three of our favorite talks (narrowing down to three each was the most difficult part). We were not the only graphics-group members there, so we will also invite extemporaneous contributions from our colleagues, as they see fit.
tl;dr: It was super-useful and inclusive
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by Sam Tyner, Kiegan Rice, Haley Jeppson, Katherine Goode, Miranda Tilton
In this presentation, Sam Tyner, Kiegan Rice, Haley Jeppson, Katherine Goode, and Miranda Tilton will show off their ggplot2 skills and demonstrate how good statistical graphics can help the Iowa State community. As a member of the ISU UCW committee, Sam saw an early draft of the “LAS Status of Women Report.” The professor heading the report, Maggie LaWare, asked for input on the graphs in the report, as the current figures were her first foray into making figures in Excel.
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