Cleaning Airline Data with Python
In this project a messy dataset about airline flights is cleaned to enable it to be used for further analysis. For this purpose, the project uses Python pandas library.
In this project a messy dataset about airline flights is cleaned to enable it to be used for further analysis. For this purpose, the project uses Python pandas library.
There is a wealth of information available on the internet. Web scraping is the process which enables people to collate and start to organise this data into a more structured format for further analysis. This project investigates this process using data provided by the UK Parliment, in particular the financial interests of members of the House of Commons. Attributes of the html data motivate the use of two Python libraries, Beautiful Soup and Scrapy, for this work.
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