- Team Name ideas: Mad Young PickNicker?
- Dropbox: https://www.dropbox.com/home/2020.6%20Datathon2020/Data%20Files_VIC (private)
- Overleaf: see Madeline's V3 version
- site: http://www.datasciencemelbourne.com/datathon/2020_challengea/
- goal: Analyse electricity consumption data and determine if a change can be detected that may be attributable to covid-19.
- data: https://aemo.com.au/en/energy-systems/electricity/national-electricity-market-nem/data-nem/aggregated-data Price ($AUS/MW) and demand(MWh) by state, frequency: 30 min.
- teams: 1-3 people, of anyone, anywhere (not restricted to students or Melb based), each person can be on no more than 1 submission.
- submission format -- Insights category: due11 pm, Sunday 18th October. "main report should be no more than a 4 minute read and contain no more than 6 charts", with link to supporting docs, refs, and reproducible code.