Let’s Build an Interactive Dashboard

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Let’s Build an Interactive Dashboard using R, R Markdown, and the flexdashboard package!
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Abstract:

In this short workshop, we’ll build a flexdashboard by exploring and visualizing metrics for a pre-specified open dataset. We’ll learn the basics of flexdashboard while brainstorm dashboard design ideas, calculate and display our metrics, and discuss possible deployment ideas.

You can use flexdashboard to publish groups of related data visualizations as a dashboard. A flexdashboard can either be static (a standard web page) or dynamic (a Shiny interactive document). A wide variety of components can be included in flexdashboard layouts, including interactive JavaScript data visualizations based on html widgets; R graphical output including base, ggplots, lattice, heatmaps, and grid graphics; and tabular data (with optional sorting, filtering, and paging).

Regardless of your background, our goal of these R meetup sessions is to help you practice your R programming skills and develop a portfolio that could be used to showcase your skills to hiring managers.

There are many industrial applications. Check out some cool examples below:

Daniel Petzold and Carl Howe, 2020. How California Uses Shiny in Production to Fight COVID-19
https://blog.rstudio.com/2020/11/19/using-shiny-in-production-to-monitor-covid-19/

Lin, 2019. How to Build an Automated Trading System using R
https://towardsdatascience.com/how-to-build-an-automated-trading-system-using-r-34892b6d3320