<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Analytics, Berkeley Earth, Python, Jupyter Notebook | Abel Rosales Page</title><link>https://abelrg25.github.io/en/tags/data-analytics-berkeley-earth-python-jupyter-notebook/</link><atom:link href="https://abelrg25.github.io/en/tags/data-analytics-berkeley-earth-python-jupyter-notebook/index.xml" rel="self" type="application/rss+xml"/><description>Data Analytics, Berkeley Earth, Python, Jupyter Notebook</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 May 2025 00:00:00 +0000</lastBuildDate><image><url>https://abelrg25.github.io/media/icon_hu3560402997257095965.png</url><title>Data Analytics, Berkeley Earth, Python, Jupyter Notebook</title><link>https://abelrg25.github.io/en/tags/data-analytics-berkeley-earth-python-jupyter-notebook/</link></image><item><title>Global climate trend analysis (1850-2024)</title><link>https://abelrg25.github.io/en/project/climate/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://abelrg25.github.io/en/project/climate/</guid><description>&lt;p>In this project, we analyze how global temperature has evolved over the past 174 years, from 1850 to 2024. The data were extracted from the Berkeley Earth project. We identify trends, anomalies, and climate changes using Python and Tableau.&lt;/p></description></item></channel></rss>