A program created to verify first hand that the counter intuitive nature of the Benford's law applies to a random set of numbers, in this particular case stock prices.
Scrapper.py grabs recent stock prices of top 500 companies from all pages of markets.businessinsider.com/index/s&p_500 and stores them in a csv.
Benford.py then plots them on a graph comparing it to what would be expected if they followed Benford's Law.
Due to the volatile nature of scrapping from a website I don't control slight changes might be necessary to the code to keep it working but so far that hasen't happened.
The required libraries are: requests, bs4, lxml, numpy and matplotlib.
Run first Scrapper.py in order to update the data according to the website, folowed by Benford.py.
