Tag: R

COVID-19 Datapothecary

Processing observation level data for more reliable calculated metrics

Houston Haynes

9 minute read

There’s a running joke in machine learning circles that data wrangling is 10% skill and 90% anger management. While that’s funny because it’s true, in the case of health care data the consequences can be deadly serious. In California, problems with reporting likely and confirmed COVID-19 deaths in…

Showing the Many Faces of the Pandemic

Underscoring COVID-19 data with reminders of its human toll

Houston Haynes

7 minute read

Data can tell a compelling story when it’s properly collected, collated and curated. But there are times when data isn’t enough. And it’s not the lack of information that causes the picture to be lost. Sometimes it’s sheer overwhelming volume that can diminish the translation of data into…

Canada: Possible post-Thanksgiving Outbreak

COVID-19 in Motion - a preamble to a Thanksgiving outbreak in the US?

Houston Haynes

3 minute read

Having taken a turn with the data following Israel’s increase in mask-wearing compliance, I decided to look at the data in Canada after someone warned me about their Thanksgiving showing an ominous trend. Again, here I’m using Our World In Data as a source. I decided to map cases and deaths per…

Deploying my R blogdown Based Site - Part 1

Hacking a self-hosted build with PowerShell

Houston Haynes

9 minute read

I’ve long held (as in for decades) that a software engineer could only brandish the “full stack” moniker if they had experience with instrumenting automated deployment. Over the past few years “devops” has become all the rage, and I’m here for it. This is the first of three articles outlining how I…