Unicorn Company Web Scraping Tutorial Using Python Beautiful Soup - Part 1
Hi, I'm Eva, a business owner and also a data enthusiast. This is my first time doing beginner tutorial for web scraping using python beautiful soup.
Jupyter notebook and csv files : https://github.com/evarananda/unicorn...
LinkedIn : / evarosalinaananda
Portfolio : https://havingfunwithdata.wordpress.com/
Website that I use for scraping : https://www.cbinsights.com/research-u...
On this video, we're trying to solve these questions (we're doing it in video part 2) :
1. Display unicorn data from Asia with Artificial Intelligence industry then sort by their valuation.
2. Display unicorn data with investors containing 'capital' word and from fintech industry.
3. Display 5 countries with highest number of unicorn.
4. Display the industry that has most company number from each continent.
5. Display the company name and country with highest valuation in 2019.
6. Display company with highest valuation from each country.
7. Display the first companies that joined from each continent.
8. Display the last 5 country from Europe that joined in unicorn data.
9. Display investors and how many unicorn they've funded.
This video is covering the process of data parsing, data cleaning and data wrangling. It takes a lot of time doing this because this is the most important part before we can explore the data and make a good visualization.
You can follow this video and using the same data for exercising. Thank you so much for watching, if you have any question do not hesitate to reach me via comment section. Cheers! :)