Data Analysis Examining trends in the carpooling industry
The skills we demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
As part of my web-scraping project at the NYC Data Science Academy, I have decided to examine the Carpooling industry, an industry which is transforming the transportation sector. I am particularly interested in some of the factors that determine the pricing of a carpooling ride. I have proceeded with web-scraping BlaBla Car, one of the leaders in the european carpooling industry. BlaBla Car's philosophy is that carpooling with strangers breaks the ice and creates new friendships- which explains the name BlaBla.
I used selenium to extract information for rides based in Paris with destinations that include over 10 french and european cities. Information scraped includes ride price,driver picture , gender of driver, vehicle type and ID verification.
Link to the python code: https://github.com/karimhzaatary/Blabla_car