Data cleaning in Python: some examples from cleaning Airbnb data

I previously worked for a year and a half at an Airbnb property management company, as head of the team responsible for pricing, revenue and analysis. One thing I find particularly interesting is how to figure out what price to charge for a listing on the site. Although'it's a two bedroom in Manchester' will get you reasonably far, there are actually a huge number of factors that can influence a listing's price. As part of a bigger project on using deep learning to predict Airbnb prices, I found myself thrown back into the murky world of property data. Geospatial data can be very complex and messy -- and user-entered geospatial data doubly so.