This repository contains a Power BI dashboard providing visual insights into the COVID-19 pandemic. It includes data preprocessing scripts, the dashboard itself, and a detailed analysis of three problem statements related to the data.
The Source_code.ipynb
script contains documentation outlining the steps taken to clean and prepare the COVID-19 data for analysis. This includes handling missing values, normalizing data, and structuring it for effective visualization that was done through the Python file attached Source_code.ipynb
.
The dashboard provides interactive visualizations to track the spread and impact of the virus.
The analysis addresses the following problem statements:
- Trend Analysis - How has the virus spread over time at both global and local scales?
- Impact Assessment -Does age affect COVID-19 recovery or death rates?
- Response Effectiveness - Have reported COVID-19 symptoms changed over time?
Each problem statement is explored with corresponding visualizations and findings was documented in the report
.
To view the dashboard, follow these steps:
- Clone the repository to your local machine.
- Open the
Covid19_Power-BI.pbix
file in Power BI Desktop. - Refresh the data if prompted to load the most recent data.