This session introduces basic descriptive data analysis and data wrangling in the context of the R statistical software environment, along with some comparisons to Python methods. Workshop conducted via Zoom. […]
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This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar […]
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This workshop covers basic data visualization in R, with emphasis on ggplot2 and associated packages. The focus here is on R techniques, with a brief comparison to Python techniques for […]
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This workshop will cover creating interactive visualizations with Shiny in RStudio, as well as delivering Shiny visualizations on the web and hosting a Shiny server. Workshop conducted via Zoom. Register […]
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This workshop presents an overview of major data resources and methods of locating data, with a focus on diversity and data for minorities and underrepresented groups. Workshop conducted via Zoom. […]
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This session covers how to create reproducible research and literate programming documents using knitr, Sweave, Quarto, blogdown, and bookdown. The RStudio environment enables the easy creation of documents in various formats […]
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Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews repositories for data publication such as Dataverse, ICPSR, […]
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The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to announce that its second annual Research Symposium will be held on Friday, April 9, 2027 at the Busch […]
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