<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rolling-Average on DATATWEETS</title><link>https://datatweets.com/tags/rolling-average/</link><description>Recent content in Rolling-Average on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2026 Datatweets</copyright><lastBuildDate>Mon, 13 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://datatweets.com/tags/rolling-average/index.xml" rel="self" type="application/rss+xml"/><item><title>Find Weekly Seasonality in Python with pandas Rolling Windows</title><link>https://datatweets.com/tutorials/weekly-seasonality-pandas/</link><pubDate>Mon, 13 Jul 2026 00:00:00 +0000</pubDate><guid>https://datatweets.com/tutorials/weekly-seasonality-pandas/</guid><description>A beginner-friendly pandas workflow for turning daily support counts into three useful parts: a slow-moving baseline, a recurring weekday pattern, and leftover variation that can reveal unusual days.</description></item></channel></rss>