ββReproducibility tool for #Jupyter Notebooks
Link: https://mybinder.org
#DS #github #reproducibleresearch
Link: https://mybinder.org
#DS #github #reproducibleresearch
Benfordβs Law, DS and the 2020 Election
This law can be used for the very basic check on wether the data was artificially generated or not. It assumes that lower digits have higher probability of occuring.
And there can be nothing better for #reproducibleresearch concept promotion, than #openresearch on poll data, because it shows that those can and should be transparent and open.
With the help of the repo below anyone can check compliance of poll data results with the #BenfordsLaw on unofficial (or official if you are able to get that data).
KDnuggets tutorial: https://www.kdnuggets.com/2020/09/diy-election-fraud-analysis-benfords-law.html
Github repo with examples on unofficial US election data: https://github.com/cjph8914/2020_benfords
#statistics
This law can be used for the very basic check on wether the data was artificially generated or not. It assumes that lower digits have higher probability of occuring.
And there can be nothing better for #reproducibleresearch concept promotion, than #openresearch on poll data, because it shows that those can and should be transparent and open.
With the help of the repo below anyone can check compliance of poll data results with the #BenfordsLaw on unofficial (or official if you are able to get that data).
KDnuggets tutorial: https://www.kdnuggets.com/2020/09/diy-election-fraud-analysis-benfords-law.html
Github repo with examples on unofficial US election data: https://github.com/cjph8914/2020_benfords
#statistics
KDnuggets
DIY Election Fraud Analysis Using Benford's Law - KDnuggets
In this article, we will talk about a Do-It-Yourself approach towards election analysis and coming to a conclusion whether the elections were conducted fairly or not.