Skip to content

MannyD95/Covid19Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 

Repository files navigation

Covid19Project

An Exploratory Data Analysis with accompanying Dashboard

Click Here to See The Dashboard

This is a Project that I undertook to solidify my SQL skills and to get more familiar with Tableau as a platform. As someone with a healthcare background, I wanted to explore how exactly the Vaccine affected the outbreak of Covid around the world. From a time where Hospitals were in crisis with a lack of ventilators to now having people interact face to face again, a lot has changed. Was the impetus the spread of vaccines across the world, or did the majority of the pandemic takes it courses and it was just the nail in the coffin?

This project also compares countries and their responses through 6 "Key Indicators" as I have called them, which will feature throughout the Data Visualization.

The Dataset was downloaded from Our World in Data's COVID-19 Dataset on August 10th. The dataset exceeds the file size for upload to github, so I have attached the link to it from the OWID git page.

The First problem I encountered was which version of SQL to use, after a lengthy trial and error process, I settled on MySQL 8.0. MySQL had its quirks that I had to learn about such as casting to integers and the ONLY_FULL_GROUP_BY error.

Outside of SQL, I used Tableau Public for my visualizations. This means that I needed to download my Queries as .csv files then upload it to Public instead of having a direct connection. This added the extra step of Data Cleaning in Excel to make sure they were not any Blanks or NULLS that would affect the final product.

Finally, in Tableau I came to learn about flexibility and how to make adjustments on the fly. For example I wanted to make a Stacked Bar Chart for a time series, but the values for vaccinations were so much greater than the other measure that it didn't make sense to pursue it. This was a key chart for the viz, so I had to find a way to get the same idea across, with just as little effort needed from the viewer to understand it.

Thank you for viewing my project and I appreciate any feedback you may have!

Manny Dhillon

About

An Exploratory Data Analysis with accompanying Dashboard

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors