• Session: Data Visualization
• Date: November 7th 2020, 2:30PM (UTC+1)
• Speaker: Cédric Scherer (Data Visualization Designer & Computational Ecologist)

In this session, I introduce you to modularized Shiny apps and a library called {golem} that simplifies the process of developing roduction-grade applications. I will also give an overview of html widgets that are useful for designing your app and allow for interactive charts and an overall nice user experience. I am going to demonstrate the possibilities using our Shiny app from the LC Berlin that recently won the CorrelAidX challenge.

You can have a look at the final example application we are going to build on shinyapps.io.

Books

• "Mastering Shiny" by Hadley Wickham
• “Engineering Production-Grade Shiny Apps” by Colin Fay et al.
• “JavaScript for R” by Joene Coene

Collections of html widgets

• htmlwidgets
• Awesome Shiny extensions

Packages for charts

• {plotly}
• {echarts4r}
• {ggiraph}
• {highcharter}
• {dygraphs}
• {charter}
• {rbokeh}
• {metricsgraphics}
• {rthreejs}
• {visnetwork}
• {networkD3}
• {DiagrammeR}

Packages for tables

• {DT}
• {gt}
• {formattable}

Packages for maps

• {leaflet}
• {tmap}
• {mapdeck}
• {echarts4r}

Packages for theming

• {shinydashboard}
• {shinydashboardPlus}
• {fullPage}
• {bs4Dash}
• {shinybulma}