Covid-19 Data Analysis

Cleaning the Data

In order to obtain the best possible results from our analysis, we first had to make sure that the data was clean and ready for processing. I aggregated all the US data from our source and handled missing values and errors in the data using Excel.

Novel Test Statistic

Our research paper was based on a new test statistic developed by professor Adriano Zambom. This novel test statistic was designed to analyze time-series data, just like our dataset.

Finding the Data

The professors in my research group had found a website that had been collecting and aggregating global Covid-19 data. After exploring the dataset we determined that it would be best to perform our analysis on the United States data because of its completeness and uniformity. Our data source was able to provide changes in daily Covid cases as well as flags related to US containment policies.