Context

Foundational Skills for Data Science(INFO 201) Final Project

Group

Isha Narayanan, Aina Engelbrekt, Max Jayne, Megan Skorbut

Tools

R-Markdown, R-Script, Github, ShinyApps

Timeline

2 weeks (Fall 2021)

Project Introduction

The Corona-Virus pandemic is one of the most prominent, large-scale international issues of the 21st century. My team and I chose to analyze a dataset that highlights each country's cases, deaths, Corona-Virus tests, population, and recoveries. Corona-Virus data can reveal more about a country or continent than just cases. We can find out where in the world people are most affected by this sort of global issue, and what countries are able to effectively minimize the impact of Corona-Virus.

My Contributions

Introduction page:

This page was relatively straight forward to make, I initially struggled to insert an image onto the page however I was able to do so using an HTML tag!

Bar Chart:

Through the usage of the ggplot and ploty packages, I was able to create this visualization. The graph allows for continent selection and shows the total amount of Corona-Virus tests distributed for the top 6 most populous countries within that continent. Hovering over each bar shows the country and the total amount of tests given. Through this visualization my team and I were easily able to compare Corona-Virus Test disparities between countries within the same continent.

My favorite part of creating this visualization was figuring out how to group the data in order to produce the desired results!