From 7a92850b2daf1b0f67b886105750cc70efb770f7 Mon Sep 17 00:00:00 2001
From: Suneer Angra <58013053+angra1@users.noreply.github.com>
Date: Thu, 18 Mar 2021 13:16:44 -0500
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index c1ec59f..176a4b0 100644
--- a/README.md
+++ b/README.md
@@ -5,14 +5,14 @@ Please contact co-PI Jenny Amos (jamos@illinois.edu or git: jennyamos) for quest
 This repo has code to scrape Gradescope exported data to create various tag organized visualizations of assessment data
 
 ## plot.py
-This python script scrapes Gradescope exported data into tag organized studentwise radar plots visualizing student performance vs class performance
+This python script scrapes Gradescope exported data into studentwise radar plots visualizing tag organized student performance vs class performance
 
 ## Usage
 Install necessary Python packages: bokeh, numpy, pandas
 Bokeh installation: https://docs.bokeh.org/en/latest/docs/first_steps/installation.html
 (Install numpy and pandas similarly)
  
-All the csv files exported from gradescope to be scraped should be placed in a folder named 'Data'. Store this 'Data' folder in the same place as the plot.py script. To store data differently or to use files with different extension, 'path' and 'extension' variables can be changed in the script respectively.
+All the csv files exported from gradescope to be scraped should be placed in a folder named 'Data'. Store this 'Data' folder in the same place as the plot.py script. To store data differently or to use files with different extension, 'path' and 'extension' variables can be changed respectively.
 
 Running this script: [python/python3/py] plot.py shall create plot for every student with their email as the filename.