R for data visualisation
2-week period | Interactive online sessions | Active learning support
Our team at Epi-interactive have tailored a class to allow people with great ideas to quickly acquire the skills to get going and share their data and findings with others in ways that make life easier and take the frustration out of data visualisation.
The Masterclass will be led by Dr. Uli Muellner (Director — IT & Information Design), Crystal Johnston (Full-Stack Developer) and Nick Snellgrove (Full-Stack Developer).
29 November – 7 December 2021
Registration is now closed for this Masterclass
About this event
Do you feel stuck in Excel, trying to get your data out there in more than just pivot tables? Or are you just over the grind of manually re-doing the same thing over and over again? You are not alone! Over 5 sessions we will look into the basics of the statistical programming language R and how it can be applied to data visualisation and automated report generation. The course covers data cleaning and pre-processing, transforming your data, displaying it in multiple formats (data tables and plots), and finally tying it all together in a click-of-a-button report document that you can save and share with your audience. We will work through multiple datasets and exercises so on conclusion of the class you can hit the ground running.
R is the most popular language in the world of data science, it's highly versatile and the standard language for performing statistical operations. R is an open-source language (which means you don’t have to pay a license fee to use it). Even better, R provides you with the ability to build aesthetic web-applications. Using the R Shiny package, you can develop interactive dashboards to tell better stories with your data.
Who should attend
Whether you are a beginner or are needing a refresh, this training will help you gain familiarity with the statistical programming language R and learn how to take your data and reporting to the next level. Maybe you have been mainly using Excel or an off-the shelf tool like Power BI, but are frustrated by its limitations and are keen to build more advanced visuals to do your data justice. You might have a dataset or model you want to prepare outputs for and want to progress to a more powerful, efficient and streamlined process. This Masterclass can be used as an entry into R or can be used as preparation for our R Shiny Masterclasses.
Join our LinkedIn event group and network with other participants of this Masterclass.
If you are unsure if this class is for you, please don’t hesitate to reach out to our team to discuss – email@example.com
90-minute interactive online sessions, plus online support throughout the course.
Session start times
Los Angeles (PDT) 11am
Toronto (EDT) 2pm
London (GMT) 7pm
Paris (CET) 8pm
Oceania (next day):
Sydney (AEST) 6am
New Zealand (NZDT) 8am
29 November 2021
RStudio (Cloud) and R Basics
- What is R?
- IDE overview, R versions, R packages (and sources like CRAN)
- File structure, how to set up coding environment
- Data structures
- View and print
30 November 2021
Data cleaning and pre-processing
- Introduction to our dataset(s)
- Reading in csv/xlsx
- Transforming data to be in data frame format
- Rename, select, mutate (dplyr)
- Saving your outputs and progress
1 December 2021
Displaying your data in DT tables
- Exploring your data
- Summarise, filtering, mutate
- DT package options
6 December 2021
Preparing your data for your graphs (ggplot/base R)
- Essential columns
- Summarized versus detailed data
- Exploring basic plots
7 December 2021
Producing an R Markdown Report
- Basics of R Markdown (RMD)
- Put your charts and tables into RMD
- RMD preview in RStudio
- Sharing a Markdown report with others
- Masterclass notes and instructions
- Coding examples
- Online forum and materials
- Assignments between sessions
Supercharging epidemiology with IT
Build your ability to better understand IT and digital tools so the technology serves you and not the other way around. Don’t miss out on innovative methods to advance your work!
This class will be delivered as a combination of live sessions, exercises and online interactions. This workshop will be delivered in two options to allow participation despite time zone differences. Participants are welcome to choose the option that is most convenient, independent of their geographical location. Live sessions are planned for the following dates:
Option 1: 1, 2, 4 November 2021
Option 2: 8, 9, 11 November 2021
Interactive dashboards with R Shiny: Introductory Class
This online Masterclass will introduce you to R Shiny programming and will cover R Shiny capabilities, design approaches, coding essentials and how to publish your newly created app. Case studies will be used to provide applied examples of R Shiny apps in action.
This class will be delivered as a combination of live sessions, exercises and online interactions. Live sessions are planned for the following dates:
14, 15, 18, 21, 22, 24, 28 February 2022
1 March 2022
Interactive dashboards with R Shiny: Advanced Class
This advanced Masterclass will expand on basic R Shiny functionality and teach you how to tackle more complex features in a structured way. We will dive into creating dynamic interfaces for multi devices and explore R packages that provide a richer user experience.
This class will be delivered as a combination of live sessions, exercises and online interactions.
Live sessions are planned for the following dates:
21, 22, 24, 28, 29, 31 March
4, 5 April
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