<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Plotnine on /home/vigi99</title><link>https://viig99.github.io/categories/plotnine/</link><description>Recent content in Plotnine on /home/vigi99</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 22 Feb 2025 18:41:37 -0500</lastBuildDate><atom:link href="https://viig99.github.io/categories/plotnine/index.xml" rel="self" type="application/rss+xml"/><item><title>Distribution for SDE Salaries in India</title><link>https://viig99.github.io/docs/posts/indian_salary_distribution/</link><pubDate>Sat, 22 Feb 2025 00:00:00 +0000</pubDate><guid>https://viig99.github.io/docs/posts/indian_salary_distribution/</guid><description>&lt;h2 id="overview"&gt;&lt;strong&gt;Overview&lt;/strong&gt;&lt;a class="anchor" href="#overview"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;I recently was having discussions with junior engineers about salary expectations for Software Development Engineers (SDEs) in India, especially how it changes with years of experience. Inspired by &lt;a href="https://newsletter.pragmaticengineer.com/p/trimodal-nature-of-tech-compensation" target="_blank" rel="noopener" &gt;The Pragmatic Engineer&lt;/a&gt; and &lt;a href="https://x.com/deedydas/status/1797078188390289892" target="_blank" rel="noopener" &gt;@deedydas’ tweet&lt;/a&gt;, I decided to examine a dataset of Indian salaries.&lt;/p&gt;
&lt;p&gt;My goal was to parse the data, clean it, cluster salary ranges by experience, and visualize how salaries distribute across different “tiers” of companies.&lt;/p&gt;
&lt;h2 id="methodology"&gt;&lt;strong&gt;Methodology&lt;/strong&gt;&lt;a class="anchor" href="#methodology"&gt;#&lt;/a&gt;&lt;/h2&gt;
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&lt;p&gt;&lt;strong&gt;Data Collection&lt;/strong&gt;&lt;/p&gt;</description></item></channel></rss>