Peri-Covid Pandemic Era’s Economy

Project Name and Group Members:

Project Name: Peri-Covid Pandemic Era’s Economy - An Analyze Research on the Correlation between Covid and Economy in the United States of America

Group members: James Zheng Cao, Aldrich Longxuan Fan, Ziyu Wang

Motivation:

For the past two years, Covid has been the most influential event affecting everyone's every aspect of daily life. For the "Peri-Covid Pandemic Era’s Economy - An Analyze Research on the Correlation between Covid and Economy in the United States of America" project, we seek to quantity how covid impacts our daily life by finding the correlation between covid cases and the economy.

What we learned:

There exists correlations between Covid cases and the different industries in the economy.

Challenges we faced:

Messy data and multiple dataset.

How we built it:

We collect and modify data to graph and analyze the plot from more than 10 data frames. We use python libraries, such as Geopandas, Seaborn, and Plotly.

Result:

We analyze the basic correlation between Covid cases and their influence to the economy in the US. In conclusion, a negative correlation is shown from the result of percentage change of covid cases vs. industries. When the covid cases increase, the economic growth is stagnant or even recession could happen.

Future work:

We will try to use machine learning (such as convolutional neural network ) to analyze the correlation between covid and economy and try to establish a math formula.