A favorite on my blogroll at https://austinrochford.com/ is a good place to discover intuitive explanations of Bayesian machine learning methods. In the December 29, 2017 blog post Quantifying Three Years of Reading (https://austinrochford.com/posts/2017-12-29-quantifying-reading.html), the blogger analyzes changes in their own reading log dataset. The reading log is available as a Google sheet at this link: https://docs.google.com/spreadsheets/d/1wNbJv1Zf4Oichj3-dEQXE_lXVCwuYQjaoyU1gGQQqk4/.
The reading log is a time series dataset, which the blogger frequently updates. I have taken a snapshot of the reading log and saved it in the chapter's GitHub directory, https://github.com/PacktPublishing/Superset-Quick-Start-Guide/Chapter04/. The dataset has been modified by the addition of a new column. You can run the Jupyter Notebook generate_dataset.ipynb to generate the...
