Technical Training: Quarto and Shiny Dashboarding

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Description

Data visualization is a powerful tool for understanding and communicating data. This training session is a practical guide to master the main steps of dynamic dashboard development for the visualization of malaria epidemiological surveillance data with R-Shiny and to write interactive documents using Quarto.

Before starting the training session, it is important to have the following packages installed in your own R environment.

We also need to ensure we have Quarto Installed: 👉Follow the guide here

# Packages installation ==========================================================================
install.packages("shiny")     #"shiny: core package to build apps."
install.packages("bslib")     #"theming (Bootstrap customization) and modern dashboard design elements."
install.packages("tidyverse") #"Data wrangling (dplyr, ggplot2, readr…)."
install.packages("DT")        #"DT: interactive tables."
install.packages("plotly")    #"plotly: interactive plots."
install.packages("leaflet")   #"leaflet: mapping spatial data."
install.packages("sf")        #"sf: mapping spatial data."
install.packages("lubridate") #"lubridate for dealting with date-time."
install.packages("bsicons")   #"bsicons: Bootstrap icons for Shiny apps."
install.packages("scales")    #"scales: for formatting numbers, dates, and other data types in a consistent way."

# Packages load ===================================================================================

library(shiny)
library(bslib)
library(tidyverse)
library(DT)
library(plotly)
library(leaflet)
library(sf)
library(lubridate)
library(bsicons)
library(scales)

Objectives

Shiny Dashboarding

  • Understand key elements and structure of a Shiny dashboard (UI, Server, and reactive logic).

  • Gain hands-on experience customizing dashboards using the bslib package.

  • Build interactive plots, tables, and maps using packages like plotly, DT, and leaflet.

  • Create your own Shiny dashboard to visualize malaria surveillance data.

Quarto

  • Understand the purpose of Quarto and its role in reproducible reporting.

  • Create and format interactive documents using Quarto markdown.

  • Integrate code, plots, and tables in Quarto documents.

  • Publish Quarto documents as webpages or reports for sharing with teams.

  • Understand how Quarto and Shiny can be combined to build integrated, interactive reporting tools.

The outcome of this session is a fully interactive local App displaying key malaria program metrics.

Materials

Shiny Slides Click here
Shiny Worksheet Click here
Quarto Slides Click here
Quarto Worksheet Click here
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