Data Visualization with Maps Shiny Workshop

Details
Learn how to make your first Shiny app with spatial data! We'll build a simple interactive map application and teach you how to use Shiny apps to interpret and visualize your data.
• What you'll learn:
- Why build a Shiny app?
- How a Shiny app is structured
- How to incorporate interactivity in your Shiny app
- How to deploy your Shiny app
• Prerequisites:
-William Blair has a strict firewall, so please follow the instructions here prior to the Meetup so that you are able to get the most out of this workshop: https://github.com/rladies-chicago/2019-04-18-shiny-workshop/blob/master/README.md
-If your Meetup profile does not include your first name, please email chicago@rladies.org with the subject line "Name for 4/18 Meetup" and your name in the body of the email so we can make sure you are on the list of approved guests.
Schedule:
5:45-6 -- R tour for beginners; sign up here: https://tinyurl.com/rladiestour
6-6:30 -- Food, Intros & Announcements
6:30-7:30 -- Shiny workshop
7:30-8:00 -- Socializing/Networking/Hanging out
Q: Are men welcome to attend this event?
A: Our primary mission is to encourage more women and non-binary individuals to get involved in the R community. As such, we strongly encourage that all men who attend this event have a female or non-binary sponsor. Please contact chicago@rladies.org if you have questions.
Additionally, please help us by spreading the word about R-Ladies, and by being respectful of the fact that this event is primarily for women/non-binary/female-identifying individuals.
Thank you to William Blair for hosting us and providing food!
• What to bring
Laptop or notebook if you can! Wifi is available and live-tweeting is encouraged.
• Important to know
We expect all attendees to abide & be governed by our community code of conduct. Please take a moment to review our R-Ladies Global code of conduct (particularly if this is your first time attending!): https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

Sponsors
Data Visualization with Maps Shiny Workshop