TuringDataStories: An open community creating “Data Stories”: A mix of open data, code, narrative 💬, visuals 📊📈 and knowledge 🧠 to help understand the world around us.
Using Bayesian inference to predict the final outcomes of the elections in the states of Arizona, Pennsylvania and Georgia and updating the prediction with each new set of ballots that come in.
Which datasets will you be using in this Turing Data Story?
Story description
Using Bayesian inference to predict the final outcomes of the elections in the states of Arizona, Pennsylvania and Georgia and updating the prediction with each new set of ballots that come in.
Which datasets will you be using in this Turing Data Story?
Data from https://alex.github.io/nyt-2020-election-scraper/battleground-state-changes.html
Additional context
This story was born from a Turing slack group where we discussed the election results during the election night/week and month.
Current status
Updates