covid-19 dashboard

The repo contains code references and materials used in a 10-part tutorial series on developing a real-time analytics app to monitor the covid-19 (coronavirus) situation, and in the process learn about:

• Data visualization in base R
• Data visualization using ggplot2
• Cleaning and transforming data using tidyverse libraries: dplyr, tidyr etc
• Web app / dashboard development using shiny

Build and deploy a real-time analytics dashboard (optionally with your custom sub-domain, for free) with this multi-part lesson. The course will walk you through the process of cleaning data, creating highly compelling data visualizations, and then combining them with a web app framework that is pleasant and visually appealing.

By the end of this course, you will have a web dashboard that is deployed and accessible on the web by anyone, on any devices (responsive web design).

Learning Outcomes

• Learn to develop a modern, reactive web application using R and the Shiny Web App framework
• Learn to use one of the most popular, powerful data visualization library (ggplot) to create compelling visuals on the web
• Learn to take advantage of modern web development practices such as Bootstrap 4, responsive web design, and UX thinking
• Learn how a framework like Shiny allows you to author your application by transforming your R code into HTML, CSS and JavaScript.
• Learners are expected to develop their own dashboard, and deploy to the free shinyapps.io hosting service.

The Learning Journey

Course Content:

• Part 1: Starting Our Project
  • Course 1: High Level Overview: A Covid-19 Web Analytics App
  • Course 2: Introduction to RMarkdown (R Notebook)
• Part 2: Data Visualization in R
  • Course 3: Base Plotting in R
  • Course 4: Grammar of Graphics, ggplot2, in R
• Part 3: Data Cleansing and Transformation in R
  • Course 5: Grammar of Data Manipulation, dplyr, in R
  • Course 6: Structuring your R Scripts
• Part 4: Web Application Development in R
  • Course 7: The Shiny Web Application Anatomy
  • Course 8: Developing a Shiny Web App
  • Course 9: Developing a Shiny Web App (Part 2)
  • Course 10: Launch and Deploy your real-time Web Dashboard

Tutorial Link: https://finetut.com/courses/build-covid-web-dashboard-in-r/

Other Useful Repositories

1. DarkerShiny, A Shiny web app template using a dark theme with support for custom CSS

2. CoronaVirus, A Shiny Web App tutorial inspecting the COVID-19 (2019-nCoV) epidemic

The code is updated for R 3.6.+ and the data source is:

• https://github.com/CSSEGISandData/COVID-19 (2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE)