To study page view trends for a Wikipedia article on Daylight Saving Time, we first used a Python script to extract the data from a Wikipedia database. Next, we used a GAM package called Prophet published by Facebook researchers to conduct our time series analysis in Python. The package is also available in R.

Accompanying tutorial here: https://algobeans.com/2017/04/04/laymans-tutorial-time-series-analysis/

Overall, annual, weekly and holiday trends:

Validating the model with simulated historical forecasts:

Examining error rates:

Comparing error rates across models to check effects of parameters:

References:

• Wikipedia page views data: http://stats.grok.se/
• Facebook Prophet package: https://facebookincubator.github.io/prophet/