January Lightning Talks: interactive apps, logistic regression, purrr & more

Jan 24, 2022 · Boston, United States of America

January Lightning Series

Do you have something new you'd like to share with the group or a favorite package you just learned about? We'd love to hear from the community in a series of lightning talks on January 24th at 12 ET.

(date had changed from January 17th)

Lightning Talks by:
Bryan Butler - Building Interactive Apps with RMarkdown and Reticulate
Matt Curcio - Logistic regression
Anubhuti Mishra - Automate parts of your R project w/ Project Template
Nithin M - Purrr, A multipurpose package

Talks & Speaker Bios:
Bryan will use the R Markdown format to build an interactive text visualization app in Python. Using Python, we will compare and visualize survey text, and then create an interactive= web-based html app using R Markdown that can be opened in any browser. We'll cover a few unique tips to making clean visuals using Python & Plotly as well as and advanced NLP tool such as Google Universal Sentence Encoder & UMAP.

Matt has been a Biochemist, a salesperson, and a Kindergarten Teacher. He is now teaching himself Data Science. Matt will discuss the importance of logistic regression with a simple example.

Anubhuti Mishra is a Senior Data Scientist at Palladium Group. She creates data science products for global HIV and COVID-19 health programs. This talk will demonstrate how to use ProjectTemplate package - If you hate loading packages, reading in datasets, or loading functions spread across several scripts - automate all your project startup steps with 2 lines of code.

Nithin is a PhD candidate in Macroeconomics at the Indian Institute of Technology, Kharagpur India and has received a grant to participate at the noRth R conference organized by University of Minnesota. The talk will be a demonstration of the versatility of one of my favorite package purrr . The live coding session will demonstrate use of purr for common data cleaning, ggplots and rendering Rmarkdown reports.

If interested in future lightning talks, you can share your abstract here: https://docs.google.com/forms/d/e/1FAIpQLScuZDGDx3aOm6P0jzm8pXPkMryN5iv4PBhq1Ghy3BH-9JGcAw/viewform

Lightning talks can be anywhere from 3 to 10 minutes :)

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