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Video
Easy larger-than-RAM data manipulation with {disk.frame}
Learn how to handle 100GBs of data with ease using {disk.frame} - the larger-than-RAM-data...
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Designing Randomized Studies using Shiny
This talk will walk through building a self-contained randomized study using Shiny and learnr...
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Custom theming in Shiny & R Markdown with bslib & thematic
Custom theming in Shiny and R Markdown often requires writing styling rules in both...
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Cognitive speed: How the Tidyverse helped the British Red Cross respon...
We will discuss the importance of cognitive speed, defined here as the rate in...
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Categorical Embeddings: New Ways to Simplify Complex Data
Categorical embeddings are a relatively new method, utilizing methods popularized in Natural Language Processing...
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Bringing the Tidyverse to Python with Siuba
Last January I left my job to spend a year developing siuba, a python...
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Bigger Data With Ease Using Apache Arrow
R is unparalleled in its ability to transform raw data into a wide array...
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Best Practices for Developing Shiny Apps
This presentation covers everything from organizing app's code with modules and R6 classes, to...
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Art Lessons: One Year as RStudio’s Artist-in-Residence
Art can be a welcoming bridge for learners and users to engage with and...