From 835d1ae71971d6114368a5d048fa12a83abf8734 Mon Sep 17 00:00:00 2001
From: Paola Passalacqua <68929973+paolaPassaH2O@users.noreply.github.com>
Date: Sun, 28 Apr 2024 17:45:45 -0500
Subject: [PATCH] Update README.md

Fixed a few typos
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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

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 ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/svinsight)
 ![PyPI](https://img.shields.io/pypi/v/svinsight)
 
-*SVInsight* is a python package for calculating an exploratory social vulnerability index. This package calculates SVI using two methods: (1) an iterative factor analysis method and (2) a rank method, both of which have been heavily utilized in scholarly research. This package automates the creation and comparisons of indices using U.S. American Community Survey 5-Year Data (ACS5) at the block group or tract level. Users can customize which social, demographic, and economic variables are included in their own custom indices.
+*SVInsight* is a python package for calculating an exploratory social vulnerability index. This package calculates SVI using two methods: (1) an iterative factor analysis method and (2) a rank method, both of which have been heavily utilized in scholarly research. This package automates the creation and comparison of indices using U.S. American Community Survey 5-Year Data (ACS5) at the block group or tract level. Users can customize which social, demographic, and economic variables are included in their own custom indices.
 
 This package is a tool to efficiently calculate an exploratory estimate of social vulnerability for a given region. Social vulnerability is an incredibly complex and constantly evolving concept, and researchers, practitioners, and users of this software should always consult relevant peer-reviewed literature and local experts to validate findings.