Update README.md

Author: BorisQuanLi

README.md

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 This Project makes API calls to ingest the most recent 8 quarters of financial statements filed by the S&P 500 publicly listed companies, then stores the data on a Postgres DB, utilizing the Adapter and Model-View-Controller (MVC) design patterns along the way.
 
-A Flask API app allows the user to query both aggregate and company-level data such as average quarterly revenue, cost, and price/earnings ratios, returning the results in JSON format in a web browser.
+A Flask API app allows the user to query aggregate and company-level data such as average quarterly revenue, cost, and price/earnings ratios, returning the results in JSON format in a web browser.
 
-Various plots based these data can be viewed in an interactive dashboard in a broswer, where a user can select different economic sectors and sub-sectors, companies, and financial-performance indicators.  For example, cross-sector comparison of average quarterly earnings over the last 8 quarters.
+Various plots based on these data can be viewed in an interactive dashboard in a browser, where a user can select different economic sectors and sub-sectors, companies, and financial performance indicators — for example, a cross-sector comparison of average quarterly earnings over the last 8 quarters.
 
 ### Prerequisite Technologies