Let's have a Shiny night! If you're not familiar with Shiny, check it out at http://shiny.rstudio.com - Shiny is a web application framework for R. Many people use Shiny to convey business/research/etc. findings to collaborators/bosses/etc. without needing the person to be able to code. Checkout https://shiny.rstudio.com/gallery to see some really cool examples.

We're going to have a brief tutorial for those that haven't used Shiny, as well as some Shiny use cases to see what you can do with Shiny in the real world.

Speakers:

• Winston Saunders - intro to Shiny

• Jessica Minnier - speaking on https://kcvi.shinyapps.io/START/

• Kinga Farkas - CUSUM Anomaly Detection App Using Shiny

• John Smith - Rise and shine. Shiny as an everyday tool.

Aggregate meetup No. 16! Everyone is welcome!

We will not have pizza this time, but we will have some drinks.

Agenda:

• brief intro/R project or problem: We'll go around the room, each person talk about an R project they've been working on, or a data/data-science problem, or something they want to learn, etc.

• After going around the room, anyone can share some code they've been working on and want help with / want feedback on. Make sure to have this ready before the meeting. Discuss here https://github.com/pdxrlang/aggregate/issues/8

• Before arriving, use the pdxrlang/aggregate GitHub repository to discuss ideas for things to work on at aggregate - https://github.com/pdxrlang/aggregate/issues

• Do bring your computer (if you have one) in case you want to demo something.

• Time: 630pm - 8pm

Aggregate meetup No. 17! Everyone is welcome!

shiny (https://shiny.rstudio.com/) is a popular web application framework for making interactive visualizations and dashboards, allowing R users to share their analyses in an interactive format with minimal web programming expertise. In this workshop, we will produce a simple data exploration dashboard with tooltips using the shiny, ggplot2 and flexDashboard packages. I will introduce the basic concepts behind programming a shiny application, as well as some useful design patterns (reactives, tooltips, observe/update/isolate). Basic familiarity with R programming concepts and ggplot2 are suggested

We will not have pizza this time, but we will have some drinks, and perhaps some light snacks.

Agenda:

• This aggregate will be a bit different from the others. pdxrlang member Ted Laderas (http://laderast.github.io/ - https://github.com/laderast) will give a workshop on using Shiny. More details to come!

• Bring your computer!

• Time: 630pm - 8pm