Visualising SG COVID-19 Spread

Hi,

We're having a double talk this month to make up for the one we missed in May! A big thanks to Hui Xiang and Hui Shun for this presentation!

Synopsis:
For this virtual talk, we will be sharing a visualization based on this dataset:
https://data.world/hxchua/public-places-visited-in-singapore-by-covid-19-cases

With the data published by MOH on public places that had been visited by Covid-19 cases during their infectious period, we can visualize the spread of Covid-19 in Singapore geospatially across time. The visualization is updated on a daily basis.

Points that will be touched on include:

• Why create the visualization in the first place?
• Insights gleaned from the viz
• Technology used in creating the viz
• The steps undertaken (and tried)
• Issues, problems, and lessons learnt

Bios:
Hui Xiang and Hui Shun, a pair of sisters, will be co-presenting. Hui Xiang blogs at Data Double Confirm and her blog got recognised as Top 100 Data Science Resources on MastersInDataScience.com (https://www.linkedin.com/in/hui-xiang-chua). Hui Shun is a student enrolled in the Renaissance Engineering Programme at NTU (https://huishun98.github.io/). They love working on tech projects together.

This event is run in conjunction with the Hacks and Hackers SG meetup group.