Seaborn charts that every Data Scientist Knows!
<blockquote>
<p>Data isn’t just numbers, but a narrative waiting to be uncovered.</p>
</blockquote>
<p>The world of data science has witnessed an astonishing surge, and I’ve had a front-row seat to this remarkable journey. </p>
<p>Seaborn is a Python library that allows us to plot graphs and plots that help us extract useful insights from data . I</p>
<p>n this blog, we won’t just scratch the surface; we’ll dive deep into Seaborn’s capabilities.</p>
<p>Without further ado, let’s get started.</p>
<p>We are going to use Iris Dataset for visualization purposes. You can find the dataset <a href="https://www.kaggle.com/datasets/uciml/iris" rel="noopener ugc nofollow" target="_blank">here</a>.</p>
<p>We begin by importing and processing the data.</p>
<p>If you’re not using Kaggle, you might have to put the local address of the Iris.csv file that you downloaded to your computer.</p>
<p><a href="https://medium.com/@prathamesh.gadekar/seaborn-charts-that-every-data-scientist-knows-7274ac8bc773"><strong>Learn More</strong></a></p>