ASK HN: Predicting Time Series Data

Posted by redlion on Tuesday October 19, 2021 @01:32PM
from the self-post dept.

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

( 5 comments | 4 points | on HN )

Re:ASK HN: Predicting Time Series Data by Jugurtha on Wednesday October 20, 2021 @08:13AM (#28929730)

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.

Feel free to contact me.

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Re:ASK HN: Predicting Time Series Data by uaas on Wednesday October 20, 2021 @02:08AM (#28927307)

After you have the proper aggregations, you can use stats methods e.g.: https://about.gitlab.com/blog/2019/07/23/anomaly-detection-u...

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Re:ASK HN: Predicting Time Series Data by methusala8 on Thursday October 21, 2021 @06:12AM (#28942456)

This book here suggests using Dynamic regression :

https://otexts.com/fpp2/weekly.html

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Re:ASK HN: Predicting Time Series Data by unlikelymordant on Wednesday October 20, 2021 @02:08AM (#28927316)

https://facebook.github.io/prophet/

Prophet is a pretty popular library for time series forecasting

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Re:ASK HN: Predicting Time Series Data by temp234 on Tuesday October 19, 2021 @09:00PM (#28925623)

Sounds similar to problems predicting hourly call volume. Statistics research might give you examples, also operations management research

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