<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Analysis on vinay thakur</title><link>https://vtmade.netlify.app/categories/data-analysis/</link><description>Recent content in Data Analysis 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>Mon, 20 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://vtmade.netlify.app/categories/data-analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>The $19.64 Trillion Club and What It Actually Looks Like Inside</title><link>https://vtmade.netlify.app/writing/trillion-dollar-club-inequality-within-inequality/</link><pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/trillion-dollar-club-inequality-within-inequality/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;There are 3,384 billionaires in the world. Together they hold $19.64 trillion — more than the GDP of every country except the US and China. This piece takes the Forbes Real-Time Billionaires data from April 2026, enriches it with World Bank GDP and population figures, and engineers 13 variables on top: oligarchy risk, dynastic power, innovation-to-extraction ratios, wealth velocity, economic fragility.&lt;/p&gt;
&lt;p&gt;What comes out is not one story. It is several. Most of them are not what you would expect.&lt;/p&gt;</description></item><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>Invisible Workers: Why Do Trucks Carry Teddy Bears?</title><link>https://vtmade.netlify.app/writing/invisible-workers-teddy-bears/</link><pubDate>Wed, 16 Jul 2025 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/invisible-workers-teddy-bears/</guid><description>&lt;p&gt;This is not random!&lt;/p&gt;
&lt;p&gt;A quick web search revealed something fascinating. This was not random. People around the world had noticed. Questions popped up, forums buzzed with theories. Travel blogs mentioned sightings. Analysis of several major conversations about this phenomenon reveals compelling patterns:&lt;/p&gt;
&lt;h3 id="global-reachconversations"&gt;Global Reach/Conversations&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Mumbai, India : 1,132 upvotes&lt;/li&gt;
&lt;li&gt;United States : 213 upvotes&lt;/li&gt;
&lt;li&gt;United Kingdom : 178 upvotes&lt;/li&gt;
&lt;li&gt;Various locations : Combined 500votes&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The internet had already tried to solve this mystery. But most explanations seems incomplete.&lt;/p&gt;</description></item><item><title>A Decade Overnight Success: What 24,653 Devices Reveal About Innovation</title><link>https://vtmade.netlify.app/writing/decade-wait-innovation/</link><pubDate>Sat, 28 Jun 2025 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/decade-wait-innovation/</guid><description>&lt;ul&gt;
&lt;li&gt;The &amp;ldquo;overnight success&amp;rdquo; of NFC actually took 12 years of manufacturer hesitation&lt;/li&gt;
&lt;li&gt;Budget phones, not premium flagships, actually drive new feature adoption&lt;/li&gt;
&lt;li&gt;Some &amp;ldquo;revolutionary&amp;rdquo; features like wireless charging remain stuck below 50% adoption after 16+ years&lt;/li&gt;
&lt;li&gt;Battery technology improved 900% over 25 years, yet consumers still complain about battery life&lt;/li&gt;
&lt;li&gt;2015 was mobile&amp;rsquo;s greatest year with 2,217 device launches - never matched before or since&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;I recently analyzed a massive dataset of 24,653 devices (credit Kaggle ) released between 1999 and 2025. This is not consumer sales or opinion data, it&amp;rsquo;s seller-side information revealing what manufacturers chose to build and when. The patterns that emerged challenge fundamental assumptions about how innovation actually works in the mobile industry.&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>What 2,640 Billionaires Reveal: Patterns &amp; Zodiac Signs in Billionaire Wealth Creation</title><link>https://vtmade.netlify.app/writing/billionaires-zodiac-wealth-patterns/</link><pubDate>Sun, 13 Apr 2025 00:00:00 +0000</pubDate><author>vpst18@gmail.com (Vinay Thakur)</author><guid>https://vtmade.netlify.app/writing/billionaires-zodiac-wealth-patterns/</guid><description>&lt;p&gt;I admit this is subject to survival bias as we are only seeing those who succeeded, yet could this data still offer meaningful insights into extreme wealth creation? Thus, I carried out varied analyses, and the patterns that emerged challenge many commonly held assumptions.&lt;/p&gt;
&lt;h3 id="dataset"&gt;Dataset&lt;/h3&gt;
&lt;p&gt;The dataset contains records for 2,640 billionaires.&lt;/p&gt;
&lt;p&gt;Few some interesting baseline stats&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The average billionaire net worth is $4.62 billion&lt;/li&gt;
&lt;li&gt;~69% are self-made while ~31% inherited their wealth&lt;/li&gt;
&lt;li&gt;Men represent 87% of billionaires while women account for only 13%&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;img src="https://vtmade.netlify.app/articles/billionaires-zodiac-wealth-patterns/img-01.png" alt=""&gt;&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>