exploringdata.github.com/rss.xml at master · exploringdata/exploringdata.github.com · GitHub

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<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
<channel><title>Exploring Data RSS Feed</title>
    <link>https://exploring-data.com/rss.xml</link>
    <description></description>
    <lastBuildDate>Mon, 24 Apr 2023 00:48:27 </lastBuildDate>
    <generator>Logya</generator>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <item>
        <title><![CDATA[World Inflation Map - Annual Consumer Price Changes (%)]]></title>
        <link><![CDATA[https://exploring-data.com/map/world/inflation-consumer-prices-annual/]]></link>
        <description><![CDATA[Interactive world map of annual inflation (%) from 1960 to 2024, showing consumer price changes per country in constant 2015 US dollars.]]></description>
        <guid><![CDATA[https://exploring-data.com/map/world/inflation-consumer-prices-annual/]]></guid>
        <pubDate>Tue, 24 Feb 2026 00:14:42 </pubDate>
    </item>
    <item>
        <title><![CDATA[Coastal Mountain Walks: Exploring Google Fit Data]]></title>
        <link><![CDATA[https://exploring-data.com/story/coastal-mountain-walks/]]></link>
        <description><![CDATA[Analysis of Google Fit data from a hiking vacation in Nerja, Spain. Explore daily step counts, activity patterns, and visualization techniques.]]></description>
        <guid><![CDATA[https://exploring-data.com/story/coastal-mountain-walks/]]></guid>
        <pubDate>Fri, 13 Feb 2026 14:34:29 </pubDate>
    </item>
    <item>
        <title><![CDATA[Elevation Diary: Nerja]]></title>
        <link><![CDATA[https://exploring-data.com/map/3d/elevation-diary-nerja/]]></link>
        <description><![CDATA[Interactive 3D elevation diary showing photos from a 2-week vacation in Nerja, Spain, displayed alongside their geographic locations on a terrain map.]]></description>
        <guid><![CDATA[https://exploring-data.com/map/3d/elevation-diary-nerja/]]></guid>
        <pubDate>Sat, 31 Jan 2026 23:57:12 </pubDate>
    </item>
    <item>
        <title><![CDATA[Volcanoes of Planet Earth]]></title>
        <link><![CDATA[https://exploring-data.com/vis/volcanoes-globe/]]></link>
        <description><![CDATA[A 3D globe showing a selection of volcanoes on planet earth.]]></description>
        <guid><![CDATA[https://exploring-data.com/vis/volcanoes-globe/]]></guid>
        <pubDate>Tue, 24 Sep 2024 01:32:02 </pubDate>
    </item>
    <item>
        <title><![CDATA[Orange Brown Watercolor World Map Azimuthal Equal-Area Projection]]></title>
        <link><![CDATA[https://exploring-data.com/print/orange-brown-watercolor-world-map-azimuthal-equal-area/]]></link>
        <description><![CDATA[A map of the world in the Lambert azimuthal equal-area projection. The landmass has a warm and earthy orange brown color with a touch of rustic charm. Graticule and sphere are shown in a subtle almost white tone.

A great gift for geography nerds, teache]]></description>
        <guid><![CDATA[https://exploring-data.com/print/orange-brown-watercolor-world-map-azimuthal-equal-area/]]></guid>
        <pubDate>Fri, 01 Mar 2024 00:00:00 </pubDate>
    </item>
    <item>
        <title><![CDATA[Programming Languages Influence Network 2022 - Dark Background]]></title>
        <link><![CDATA[https://exploring-data.com/print/programming-languages-influence-network-2022-white/]]></link>
        <description><![CDATA[A network graph showing 497 programming languages connected by 953 influence relations. Highly influential languages like Lisp, Smalltalk, C, Java, C++, Haskell and Python are shown as larger circles as compared to languages with less influence on others l]]></description>
        <guid><![CDATA[https://exploring-data.com/print/programming-languages-influence-network-2022-white/]]></guid>
        <pubDate>Sat, 31 Dec 2022 00:00:00 </pubDate>
    </item>
    <item>
        <title><![CDATA[Programming Languages Influence Network 2022 - Light Background]]></title>
        <link><![CDATA[https://exploring-data.com/print/programming-languages-influence-network-2022-black/]]></link>
        <description><![CDATA[A network graph showing 497 programming languages connected by 953 influence relations. Highly influential languages like Lisp, Smalltalk, C, Java, C++, Haskell and Python are shown as larger circles as compared to languages with less influence on others l]]></description>
        <guid><![CDATA[https://exploring-data.com/print/programming-languages-influence-network-2022-black/]]></guid>
        <pubDate>Sat, 31 Dec 2022 00:00:00 </pubDate>
    </item>
    <item>
        <title><![CDATA[Java Programming Language Influence Network Graph]]></title>
        <link><![CDATA[https://exploring-data.com/print/java-influence-network/]]></link>
        <description><![CDATA[Java is a high-level, class-based, object-oriented programming language. This network graph shows languages connected with Java through influence relations, i.e. languages that were influenced by or influenced Java. More influential languages are shown]]></description>
        <guid><![CDATA[https://exploring-data.com/print/java-influence-network/]]></guid>
        <pubDate>Mon, 12 Dec 2022 00:00:00 </pubDate>
    </item>
    <item>
        <title><![CDATA[Lisp Programming Language Influence Network Graph]]></title>
        <link><![CDATA[https://exploring-data.com/print/lisp-influence-network/]]></link>
        <description><![CDATA[Lisp, originally specified in 1958, is the 2nd oldest high-level programming language still in common use. This network graph shows languages connected with Lisp through influence relations, i.e. languages that were influenced by or influenced Lisp. Mor]]></description>
        <guid><![CDATA[https://exploring-data.com/print/lisp-influence-network/]]></guid>
        <pubDate>Fri, 09 Dec 2022 00:00:00 </pubDate>
    </item>
    <item>
        <title><![CDATA[Python Programming Language Influence Network Graph]]></title>
        <link><![CDATA[https://exploring-data.com/print/python-influence-network/]]></link>
        <description><![CDATA[Python is a high-level programming language with a design philosophy that emphasizes code readability. This network graph shows languages connected with Python through influence relations, i.e. languages that were influenced by or influenced Python. Mor]]></description>
        <guid><![CDATA[https://exploring-data.com/print/python-influence-network/]]></guid>
        <pubDate>Thu, 08 Dec 2022 00:00:00 </pubDate>
    </item>
</channel></rss>