From 6c260c831424b7c56527c6e9c80443affe07d9a6 Mon Sep 17 00:00:00 2001
From: Ssanidhya Barraptay <66292327+Ssanidhya24-git@users.noreply.github.com>
Date: Wed, 30 Sep 2020 18:07:36 +0530
Subject: [PATCH] Update README.md

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2020c49..0838827 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,8 @@
 # Data Visualization in Python
 Take data and turn it into something colorful, graphical and meaningful :)
 
-An introduction to basic data visualizations using Pandas, Matplotlib, Seaborn, and Plotnine all combined in a single Jupyter Notebook.
+This is a basic introduction to basic data visualizations using Pandas, Matplotlib, Seaborn, and Plotnine all combined in a single Jupyter Notebook.
+Since the purpose of data analysis is to gain insights, data is much more valuable when it is visualized.
 
 ## Intro
 Data visualization allows data scientists to graphically represent data to extract and understand trends, outliers, patterns and further insights in the data.