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README.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
<meta charset="utf-8">
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<title>readme</title>
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<section id="welcome-to-the-great-tables-repository" class="level1">
<h1>Welcome to the Great Tables Repository</h1>
<div class="quarto-figure quarto-figure-center">
<figure class="figure">
<p><img src="image.png" class="img-fluid figure-img"></p>
<figcaption class="figure-caption">Credits: Great Tables Website</figcaption>
</figure>
</div>
<p>This repository serves as an illustrative guide to showcase the usage of the <code>Great Tables</code> package in my everyday data science projects. I have been utilizing <code>gt</code> (along with <code>gtExtras</code>) for tabular data manipulation since May 2018, but recently I am transitioning to <code>Python</code> for my data science projects. In the process, I will be using the <code>Great Tables</code> library instead of <code>gt</code> for all my personal and professional tabulation requirements.</p>
<div class="quarto-figure quarto-figure-center">
<figure class="figure">
<p><img src="gt_img_04.png" class="img-fluid figure-img"></p>
<figcaption class="figure-caption">great_tables</figcaption>
</figure>
</div>
<p>The <code>Great Tables</code> library offers a comprehensive set of tools to create and manipulate publication-quality tables with a high degree of customization. It provides a wide range of formatting options, including customizable font styles, table borders, and column/row headers. Moreover, it offers advanced table features such as grouping, merging, and nesting tables.</p>
<p>I have found the <code>Great Tables</code> library to be a comprehensive and flexible tool for generating tables with ease and efficiency. With its vast range of formatting options and advanced table features, it has significantly improved my workflow, saving me a lot of time and effort.</p>
<p>Overall, this repository provides a glimpse into how I utilize <code>Great Tables</code> in my day-to-day projects, and I hope it helps others in their data science endeavors.</p>
</section>
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