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ASK HN: Predicting Time Series Data
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
- methusala8 5y agoThis book here suggests using Dynamic regression : https://otexts.com/fpp2/weekly.html https://otexts.com/fpp2/weekly.html
- temp234 5y agoSounds similar to problems predicting hourly call volume. Statistics research might give you examples, also operations management research
- uaas 5y agoAfter you have the proper aggregations, you can use stats methods e.g.: https://about.gitlab.com/blog/2019/07/23/anomaly-detection-using-prometheus/ https://about.gitlab.com/blog/2019/07/23/anomaly-detection-u...
- unlikelymordant 5y agohttps://facebook.github.io/prophet/ https://facebook.github.io/prophet/ Prophet is a pretty popular library for time series forecasting
- Jugurtha 5y agoWe 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. Feel free to contact me.