Project 3 for DSA: COVID-19 data tracker Team Name: Hydroxychloroqueens
Team Members: Caden Trca, Mackenzie Fileman, Samuel Orozco
Project Title: COVID by County
Problem: Create a data structure that quickly and accurately analyses data from COVID-19 cases across the United States by county, and population size, facilitating the retrieval of virus related data when looking up a specific county.
Motivation: In order to efficiently analyze and track COVID hotspots across the United States Data Structures must be made in order to parse and order all the case data coming in by county every day. Having a DS that does this quickly and accurately can help medical personnel and the government know where and when to send help to a specific location. Testing multiple different data structures will allow us to choose which one works the best.
Features: We will know when we have solved the problem when we compare the two data structures and we find out which one prints out reliable data the quickest. We will also know when we have solved the problem when we reach a solution that with one simple input can give us various data points and information regarding COVID cases in a specific county.
Data: We will be using a COVID-19 case data repository that updates daily based off of data given by the CDC. https://github.com/nytimes/covid-19-data https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv
Tools: We will be coding this entire project in C++. We will also be using Excel, powerpoint, and Procreate (for images, logos, and aesthetics)
Strategy:This project will be split into two main Data Structures: BST trees and an unordered Hash Map. BST trees will have several algorithms implemented with them such as search functions and inorder traversals. We will also be implementing algorithms that iterates through the data, adds it together, and groups it in order to easily implement it in a tree or hash map.
Distribution of Responsibility and Roles: Caden- BST Trees, Figuring out how to parse the data Mackenzie- Hash Map, Logo Building Sam- BST Trees, Figuring out how to bring in county pictures to the program, Final Presentation
References: ● https://github.com/nytimes/covid-19-data ● https://usafacts.org/visualizations/coronavirus-covid-19-spread-map/