Creating Interactive Data Visualizations in R with RShiny
Learn to make interactive, publication-quality web-based graphs in R using the RShiny package.
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Events
9 events at GW Libraries.
Python for Natural Language Processing
Participants will be introduced to the spacy Python library and basic methods of quantitative textual analysis.
Statistical Inference with R: Inference for Continuous Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on continuous variables.
Web Scraping with Python
This hands-on intermediate Python workshop will guide participants through the use of the Python requests-html library for working with content on websites.
Getting Started with Tableau: Session 2
Participants will learn how to join two worksheets, build more complex visualizations, filter, and publish finished visualizations online.
Statistical Inference with R: Inference for Categorical Data
This workshop will walk you through the R functionality you'll need to use when conducting hypothesis tests on categorical data.
Python for Natural Language Processing
Participants will be introduced to the spacy Python library and basic methods of quantitative textual analysis.
Statistical Inference with R: Linear and Logistic Regression Modeling
This workshop will walk you through the R functionality you can use to compute correlations between continuous variables.
Creating Interactive Data Visualizations in R with RShiny
Learn to make interactive, publication-quality web-based graphs in R using the RShiny package.