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The recording from UseR Oslo's meetup on February 18th, 2021 - https://www.meetup.com/Oslo-useR-Grou... {ggstatsplot} is an extension of the {ggplot2} package for creating graphics with details from statistical tests included in the information-rich plots themselves. In a typical exploratory data analysis workflow, data visualization and statistical modeling are two different phases: visualization informs modeling, and modeling, in turn, can suggest a different visualization method, and so on and so forth. The central idea of {ggstatsplot} is simple: combine these two phases into one in the form of graphics with statistical details, which makes data exploration simpler and faster! Speaker: Indrajeet Patil is a Postdoctoral Researcher at the Center for Humans and Machines, Max Planck Institute for Human Development, Berlin. He has a Ph.D. in cognitive neuroscience and specializes in investigating the psychological and neural basis of moral judgment and decision-making. He is also an active R package developer and part of the {easystats} team. Slides used in the talk: https://indrajeetpatil.github.io/ggst... Timestamps: Forthcomming.