This project focuses on utilizing SQL operations to analyze COVID-19 data. The main objective is to explore, manipulate, and draw insights from COVID datasets using various SQL queries and techniques.
- Data cleaning and preparation using SQL
- Statistical analysis of COVID cases, recoveries, and deaths
- Querying and aggregating data to identify trends and patterns
- Visualization-ready SQL outputs for further analysis
- Clone the repository.
- Import the provided COVID data into your database.
- Use the SQL scripts to perform analysis and generate reports.
- SQL-compatible database (PostgreSQL)
- COVID-19 dataset (https://www.kaggle.com/datasets/imdevskp/corona-virus-report)
Run the SQL scripts in your chosen database environment to analyze the COVID data and generate insights.