This is a personal project scraping and analysing data from the Reddit/Sourdough community in 2020.

As a sourdough baker myself, I wanted to explore lockdown baking trends in more detail, see when engagement peaked and what bakers were talking about.

Thanks to pushshift.io I was able to retrieve data from Reddit relatively easily.

The write up of my analysis can be found on my blog.

This project is organised in two different jupyter notebooks.

1. Webscraping (data collection)
2. Data cleaning and analysis

This project is run on python 3 and a number of python libraries specified in requirements.txt.

Users are those who posted a submission in r/Sourdough in 2020. Some users have since then been deleted and are counted as one single [deleted] user.

Unfortunately, the data retrieved through pushshift for submission scores (upvotes) seemed to be incorrect, so could not be used for analysis.

When converting unix timestamp to datetime, I did not account for different timezones of users at the time of their submission. Hence, analysis of submissions by days and hours of the day might be slightly distorted.