<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tooltips on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/tooltips/</link><description>Recent content in Tooltips on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 11 Oct 2025 01:00:00 +0530</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/tooltips/index.xml" rel="self" type="application/rss+xml"/><item><title>Guided Project 2: Visualizing Large Datasets with Pagination and Tooltips</title><link>https://ai-blog.noorshomelab.dev/d3js-guide/project-large-datasets-pagination-tooltips/</link><pubDate>Sat, 11 Oct 2025 01:00:00 +0530</pubDate><guid>https://ai-blog.noorshomelab.dev/d3js-guide/project-large-datasets-pagination-tooltips/</guid><description>&lt;h1 id="11-guided-project-2-visualizing-large-datasets-with-pagination-and-tooltips"&gt;11. Guided Project 2: Visualizing Large Datasets with Pagination and Tooltips&lt;/h1&gt;
&lt;p&gt;Visualizing hundreds of thousands or even millions of data points presents unique performance challenges. In this guided project, we&amp;rsquo;ll tackle this by using HTML Canvas for efficient rendering, implementing pagination to manage visible data, and developing a dynamic tooltip system that works effectively with large datasets. We will create a scatter plot capable of handling 100,000+ records.&lt;/p&gt;
&lt;h2 id="project-objective"&gt;Project Objective&lt;/h2&gt;
&lt;p&gt;Create an interactive scatter plot for a large dataset (e.g., 100,000+ points) with the following features:&lt;/p&gt;</description></item></channel></rss>