In answer to the question: "What was a business in Edinburgh that no longer exists that you miss?", redditors compiled a list: https://www.reddit.com/r/Edinburgh/comments/lno85h/what_was_a_business_in_edinburgh_that_no_longer/ This is the map of the results. Long live Mr Boni's!

Using test data

Grouped by risk of covid-19 (based on proximity to others and exposure to disease)

ONS data

Publically available data used in this data visualisation from the ONS: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/whichoccupationshavethehighestpotentialexposuretothecoronaviruscovid19/2020-05-11

Created using publically available ONS data: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/whichoccupationshavethehighestpotentialexposuretothecoronaviruscovid19/2020-05-11

Age-sex standardised rate per 100,000 frpm ScotPHO profiles

I used Arc Activity and location to record my movement. I used the minimal convex polygon to define my activity space. I compared these to a 500m buffer around my home and work.

Proof of concept of location extraction R script, which takes the exported JSON file from the Arc App for iphone, and outputs the latitude and longitude of activity throughout the day. The markers are coloured by time of day.

Heatmap of Z-score for monthly count of pathogen

http://www.legislation.gov.uk

While data has grown in volume, velocity and variety, so too has the need to document the steps taken in the collection and subsequent analysis. By working through a batch processing example in R, this talk aims to expose the audience to the setup, execution and enhancement of an automated workflow, with the hope that it will stimulate discussion on other potential applications.

Making our way around Edinburgh's Seven hills