API Programming in R via Shiny Applications with Azka Javaid

Azka is a Data Scientist at IBM Watson Health in Oncology and an incoming Datanaut. At Watson Health she works within the Enhanced Evidence Team to identify cancer treatments based on patient attributes from published research using NLP. She is an avid R user and enjoys working on near real-time Shiny applications using APIs.

Azka writes: "In this talk, I will provide an overview of API programming in R via the Twitter Analytics Shiny Application, which performs a live profile analysis of a topic and user’s tweets using word cloud, sentiment, emoji, geographic and network analysis. I will also discuss the data science workflow, including data scraping, processing, visualization and presentation using packages like httr, jsonlite, tidy text and twitteR."

RSVPs will close at 2pm the day before the meetup

Food & drink generously provided by Klaviyo