README.md
In lvanden/fortune500: DMARC Analysis
DMARC progress for Fortune 500 companies as of 12/29/2020.
Track the top 100 Fortune 500 companies' DMARC progress.
Scrape 2019 top 100 list.
To build and run locally
Execute the following commands
python scrape.py
Returns a csv file to analyze
Thanks to Monash Data Fluency for the HTML Web Scrapper tutorial which made this pretty simple to scrape.
Analysis is done in R. Running analysis.r will generate a png file of the Top 100 companies' DMARC policy and aggregate reporting domain(s).
lvanden/fortune500 documentation built on Jan. 26, 2021, 1:30 a.m.
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DMARC progress for Fortune 500 companies as of 12/29/2020.
Track the top 100 Fortune 500 companies' DMARC progress. Scrape 2019 top 100 list.
To build and run locally
Execute the following commands
python scrape.py
Returns a csv file to analyze
Thanks to Monash Data Fluency for the HTML Web Scrapper tutorial which made this pretty simple to scrape.
Analysis is done in R. Running analysis.r will generate a png file of the Top 100 companies' DMARC policy and aggregate reporting domain(s).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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