jgrizzled · April 13, 2020 21:16
diff --git a/COVIDMarket_summary.txt b/COVIDMarket_summary.txt
 App name: COVID Market

 Description: 
 The COVID-19 pandemic has severely impacted the US economy. 
 Stay abreast of the unfolding situation with key COVID-19 statistics and economic indicators.
 Gain insight into the market by comparing the current stock market with past recessions.

 Technical info:
 The app will display a customizable chart that allows the user to overlay various data.
 The data will include COVID-19 case stats and economic data.
 The data will be pulled from a few APIs into the database, to be served to the client as needed. 
 I will seed the database with some inflation-adjusted stock market data from the early 1900s that I calculated in Excel. 
 New stock market and COVID data will be pulled from APIs.
 A script will run every 24hr via Heroku Scheduler that fetches the new data from the APIs and appends it to the database.
 If time permits, I will try to add other economic data like unemployment rate and GDP.
 For the database, I would like to use MongoDB, as I have been learning it with my mentor and want to get some experience with it, and I already used Postgres in the last capstone.
	App name: COVID Market

	Description:
	The COVID-19 pandemic has severely impacted the US economy.
	Stay abreast of the unfolding situation with key COVID-19 statistics and economic indicators.
	Gain insight into the market by comparing the current stock market with past recessions.

	Technical info:
	The app will display a customizable chart that allows the user to overlay various data.
	The data will include COVID-19 case stats and economic data.
	The data will be pulled from a few APIs into the database, to be served to the client as needed.
	I will seed the database with some inflation-adjusted stock market data from the early 1900s that I calculated in Excel.
	New stock market and COVID data will be pulled from APIs.
	A script will run every 24hr via Heroku Scheduler that fetches the new data from the APIs and appends it to the database.
	If time permits, I will try to add other economic data like unemployment rate and GDP.
	For the database, I would like to use MongoDB, as I have been learning it with my mentor and want to get some experience with it, and I already used Postgres in the last capstone.