<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data on vinay thakur</title><link>https://vtmade.netlify.app/tags/data/</link><description>Recent content in Data on vinay thakur</description><generator>Hugo</generator><language>en</language><managingEditor>vpst18@gmail.com (Vinay Thakur)</managingEditor><webMaster>vpst18@gmail.com (Vinay Thakur)</webMaster><lastBuildDate>Sun, 22 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://vtmade.netlify.app/tags/data/index.xml" rel="self" type="application/rss+xml"/><item><title>18,528 Country Pairs. Most Have Never Made a Couple.</title><link>https://vtmade.netlify.app/writing/country-pairs-couples/</link><pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/country-pairs-couples/</guid><description>&lt;blockquote&gt;
&lt;p&gt;So it became a short project. Define the variables. Gather the data. Build a framework. Score every possible pairing. Report what the numbers say about human connection&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;&lt;img src="https://vtmade.netlify.app/articles/country-pairs-couples/img-01.png" alt=""&gt;&lt;/p&gt;
&lt;p&gt;There are 193 UN-recognised sovereign nations. That produces 18,528 unique country pairings. For the vast majority, no intermarriage data has ever been collected. The question is not which pair has the lowest marriage rate. It is which pair has the lowest &amp;ldquo;probability&amp;rdquo; that a marriage could occur.&lt;/p&gt;</description></item><item><title>What Happens When You Analyze Millions of Coffee Searches? The 3 AM Questions Will Surprise You</title><link>https://vtmade.netlify.app/writing/coffee-searches-3am-questions/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/coffee-searches-3am-questions/</guid><description>&lt;p&gt;&lt;img src="https://vtmade.netlify.app/articles/coffee-searches-3am-questions/img-01.png" alt=""&gt;&lt;/p&gt;
&lt;h3 id="the-data"&gt;The Data:&lt;/h3&gt;
&lt;p&gt;How I read the data without letting one country shout over everyone else&lt;/p&gt;
&lt;p&gt;I blended two sources for six markets (USA, India, UAE, Norway, Sweden, Colombia). Data retrieved using pytrends python library:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Search suggestion lists for the long tail and phrasing nuance.&lt;/li&gt;
&lt;li&gt;Monthly search volume tables for scale.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Every record carries a modifier (“how,” “can,” “what,” etc.), the raw query, the market, and the associated cost-per-click. I cleaned the text, normalized volumes within each market, and tagged psychological intent buckets (curiosity, practical help, health anxiety, safety, social). That setup let the USA’s 1.3 million-question mammoth share a stage with Norway’s 1,760 questions, and it exposed both the macro rhythms and the local stories.&lt;/p&gt;</description></item><item><title>Mapping Collective Vision of the Future</title><link>https://vtmade.netlify.app/writing/mapping-collective-vision-future/</link><pubDate>Sat, 10 May 2025 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/mapping-collective-vision-future/</guid><description>&lt;p&gt;As tech keeps speeding up, all of us think about the future. By looking at where people agree and disagree, we can get some exploratory ideas of what might happen and what these possible futures could mean. I collected and analyzed over 10K online interactions and predictions about the next couple of decades . Idea was not just about what might change, but how these changes could transform how we lives.&lt;/p&gt;</description></item><item><title>Wealth's Hidden Truths</title><link>https://vtmade.netlify.app/writing/wealths-hidden-truths/</link><pubDate>Sun, 22 Sep 2024 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/wealths-hidden-truths/</guid><description>&lt;p&gt;Here is an interesting story snippet from the content I gathered that perfectly shows the difference:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;&amp;ldquo;My friend&amp;rsquo;s rich parents wanted to give me some old furniture for free. I asked about the company that made it so I could measure my house. They said, &amp;lsquo;We don&amp;rsquo;t know, it&amp;rsquo;s very old.&amp;rsquo; I found out that this &amp;lsquo;old&amp;rsquo; furniture was made by hand in the 1870s. Each piece was worth thousands of dollars!&amp;rdquo;&lt;/p&gt;</description></item></channel></rss>