In January 2022, I was tasked with creating five different graphs to visualise COVID-19 daily cases, daily hospitalisation with COVID and Daily ICU Numbers.
At the time I focused on the following learning outcomes:
- Create at least one animation
- Create at least one dual axis plot
- Create at least one plot where two graphs are demonstrated side by side
In June 2024, I am revising my choices for Figure 3 and Figure 5
Overall data visualisation of COVID-19 cases in Ireland.
Allows the user to select the age group and see the change in the COVID-19 cases for that age group
I was highly influenced by Hans Rosling's amazing Ted Talk which demonstrates the sheer power of a great data visusalisation. Although I am proud of learning how to do animated plot in plotly, it should not have been used.
Previous Version
Updated Chart
(It is a gif, so press that PLAY button!)
Using dual axis to demonstrate the differences between median and number of COVID-19 cases.
Aim: to show that older people were hospitalised more often than young people Result: reliance on piechart to show percentage and causing confusion. Completely missing the point I was trying to show!
Previous Version
Updated Chart - Still needs work? Or is it just unnecessary?
