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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2007.15904/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2007.15904/feed.xml" rel="self" type="application/rss+xml" /><item><title>Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data — mentioned by jamessb</title><link>https://news.ycombinator.com/item?id=24744705</link><guid isPermaLink="false">urn:hackerpapers:mention:2007.15904:24744705</guid><pubDate>Sun, 11 Oct 2020 09:40:53 GMT</pubDate><description>&lt;p&gt;The novelty is not the scroll-to-zoom interaction - it&amp;#x27;s the creation of a declarative grammar for several visualization types (see Figure 2 for examples), and a system that implements this in a way that is scalable to datasets containing billions of observations. The contributions claimed in the paper are [1]: &amp;gt; To summarize, we make the following contributions: &amp;gt; •An integrated system called Kyrix-S for declarative authoring and rendering of SSVs at scale. &amp;gt; •A concise and expressive declarative grammar for describing SSVs (Section 4). &amp;gt; •A framework for offline database indexing and online…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2007.15904/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
