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Interested in more sophisticated options with data display in Shiny?
Do you sometimes not know in advance how many tables you will need to generate in your Shiny app - perhaps one summary table for each year/month/category in a user-provided dataset? Join us to learn how to dynamically generate summary tables, present them as tabs in one Shiny box, and include an option to click to see details about each data table row.

Judy Lewis will demonstrate the IeDEA Harmonist Data Toolkit under development to facilitate data quality checking, visualization, and sharing of international observational HIV/AIDS data. At rstudio::conf 2018, Judy learned from Barbara Borges Ribeiro about adding options for shinyDashboard users to "drill down" for detail (https://github.com/bborgesr/rstudio-conf-2018). Judy combined that idea with code for generating dynamic, tabbed tables (developed with Jeremy Stephens at VUMC Biostats) to create the desired function in Shiny. Judy will share code and sample data for attendees to try it out on their own.

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