Seaborn charts that every Data Scientist Knows!

<blockquote> <p>Data isn&rsquo;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&rsquo;ve had a front-row seat to this remarkable journey.&nbsp;</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&rsquo;t just scratch the surface; we&rsquo;ll dive deep into Seaborn&rsquo;s capabilities.</p> <p>Without further ado, let&rsquo;s get started.</p> <p>We are going to use Iris Dataset for visualization purposes. You can find the dataset&nbsp;<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&rsquo;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>
Tags: Data charts