DATA DIVE DAYS

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Data integrity is vital to enable robust analysis. In the process of open-sourcing Singapore's Covid-19 data, I ran into several data...

Oct 3, 2021

Based on a simplistic model of curve fitting, we are able to derive a projection that coincides with what was reported, "Singapore could...

Jul 24, 2021

"The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning." - Nate Silver, The Signal and the...

Jun 20, 2021

We're doing a sharing on Visualizing Covid-19 Spread in Singapore on 28 Jun, 7pm SGT. Sign up here if you are interested:...

Dec 28, 2020

Tableau allows easy representation of data in a calendar view. The original dataset I created in Google Sheets contains only four...

Sep 5, 2020

The Singapore government publishes locations visited by COVID-19 patients in the last 14 days, and removes any data earlier. I decided to...

May 30, 2020

Here's the link to the exact notebook: https://github.com/hxchua/datadoubleconfirm/blob/master/notebooks/pytesseract_onlineimage.ipynb.

Apr 6, 2020

Tried out textgenrnn, to create a text-generating neural network, using text from Singapore's Budget 2020 - Resilience Budget/...

Mar 26, 2020

Looking at the number of updates published on the Ministry of Health's website, we might be able to get a sense of the severity of the...

Mar 25, 2020

There are various open-source datasets on Python and R relating to global cases but here's sharing a more detailed dataset focusing...