I want to forecast traffic on my website (i work for a large company with thousands of hours spent on our website hourly across the USA). I am researching how to visualize and predict this time series at the hourly level. Any ideas here on modeling the time spent on the website on a city level? I have lots of historical data ~2 years
We have that as an application on our platform. We did that because we use it often and we've included it as a plug-in. We made it addressable by API because sometimes we hook it to a Grafana dashboard and use it in other systems, but you can also upload a file (CSV, spreadsheet) and get predictions and graphs.<p>Feel free to contact me.
After you have the proper aggregations, you can use stats methods e.g.: <a href="https://about.gitlab.com/blog/2019/07/23/anomaly-detection-using-prometheus/" rel="nofollow">https://about.gitlab.com/blog/2019/07/23/anomaly-detection-u...</a>
This book here suggests using Dynamic regression :<p><a href="https://otexts.com/fpp2/weekly.html" rel="nofollow">https://otexts.com/fpp2/weekly.html</a>
<a href="https://facebook.github.io/prophet/" rel="nofollow">https://facebook.github.io/prophet/</a><p>Prophet is a pretty popular library for time series forecasting