From be40e77739f8edf21a03f39e81ca7d650ebac4e3 Mon Sep 17 00:00:00 2001
From: Juancho <116334702+juanchok12@users.noreply.github.com>
Date: Fri, 17 May 2024 16:28:01 -0700
Subject: [PATCH] Update README.md

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

diff --git a/README.md b/README.md
index 76b99d9..1a01086 100644
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@@ -95,6 +95,7 @@ Yahoo! Finance: https://finance.yahoo.com/
  
  
 ## Data Application <a id="6"></a> <br>
+I used Plotly Dash as the python framework to create the interactive web application. The data application itself is hosted by AWS Elastic Beanstalk.
 ### Network plots of acquisitions and mergers for the Big Four <a id="7"></a> <br>
 Used [NetworkX](https://networkx.org/) Python library in to develop the network plot. 
 <div>
@@ -116,6 +117,7 @@ Used [scikit learn]( https://scikit-learn.org/stable/index.html) linear model ma
 ![scatter_plot](https://github.com/juanchok12/Concentration-of-Banking/assets/116334702/c721feae-a5f1-4d5c-b2f1-ef9344f9dc32)
 
 
+
 ### a) From web scraping HTML tables to CSV files to creating pivot data frames using Python: 
    
    1) Webscraping: Webscraped the Federal Reserve data on large commercial banks by identifying the HTML tables, downloaded the tables into HTML files and transformed these files into CSV files.