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https://github.com/kirolos00daniel/covid-sql-analysis
Analysis using SQL server For Covid Data
https://github.com/kirolos00daniel/covid-sql-analysis
api csv excel sql sqlserver sqlserver-2019
Last synced: about 2 months ago
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Analysis using SQL server For Covid Data
- Host: GitHub
- URL: https://github.com/kirolos00daniel/covid-sql-analysis
- Owner: Kirolos00Daniel
- License: mit
- Created: 2024-11-17T12:04:38.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-17T12:18:28.000Z (about 2 months ago)
- Last Synced: 2024-11-17T13:20:36.924Z (about 2 months ago)
- Topics: api, csv, excel, sql, sqlserver, sqlserver-2019
- Homepage:
- Size: 23.6 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SQL Analysis for COVID Database
## Overview
This project focuses on analyzing COVID-19 data using SQL. The database includes comprehensive information about COVID-19 cases, vaccinations, and testing statistics globally, allowing for data-driven insights into the pandemic's progression and impact.
## Key Features
- **Data Structure:**
- A structured database with tables for:
- **`Cases`**: Tracks confirmed cases, recoveries, and deaths by country and date.
- **`Vaccinations`**: Logs vaccination doses administered and population coverage.
- **`Testing`**: Includes testing rates and positivity percentages.
- Relationships between tables for integrated analysis.
- **SQL Queries for Analysis:**
- Total and active case trends by country.
- Vaccination progress, including percentage of the population vaccinated.
- Mortality and recovery rates.
- Positivity rates and their relationship with testing levels.
- Identification of COVID-19 peaks by region.
- **Visualizations:**
- Results are designed for easy integration with BI tools (e.g., Tableau, Power BI) for dashboards.
## Getting Started
### Prerequisites
- **Database Engine:** MySQL, PostgreSQL, or any SQL-compatible database.
- **SQL Client:** Workbench, DBeaver, or a similar tool.
- **Dataset:** Downloaded COVID-19 dataset in CSV format from a reputable source such as [Our World in Data](https://ourworldindata.org/coronavirus-data).
### Setup Instructions
1. **Clone the Repository:**
```bash
git clone https://github.com/your-username/SQL-Analysis-COVID.git
cd SQL-Analysis-COVID
```
2. **Import Dataset into the Database:**
- Use provided scripts in the `Data/` directory to create tables and import data.
3. **Run SQL Queries:**
- Open the `SQL Queries/` folder and execute the desired `.sql` files for analysis.
4. **Optional: Integrate with BI Tools:**
- Export query results for visualization or connect your database directly to a BI tool.
## File Structure
```plaintext
SQL-Analysis-COVID/
├── Data/
│ ├── create_tables.sql # SQL script for table creation.
│ ├── import_data.sql # Script to load COVID datasets.
├── SQL Queries/
│ ├── case_analysis.sql # Analysis of COVID case trends.
│ ├── vaccination.sql # Queries for vaccination progress.
│ ├── testing.sql # Insights into testing and positivity rates.
└── README.md # Project overview and instructions.
```
## Sample Queries
### Example 1: Total Population vs Vaccinations
```sql
Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
On dea.location = vac.location
and dea.date = vac.date
where dea.continent is not null
order by 2,3
```
### Example 2: Creating View to store data for later visualizations
```sql
Create View PercentPopulationVaccinated as
Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
On dea.location = vac.location
and dea.date = vac.date
where dea.continent is not null
```
### Example 3: Showing contintents with the highest death count per population
```sql
Select continent, MAX(cast(Total_deaths as int)) as TotalDeathCount
From PortfolioProject..CovidDeaths
Where continent is not null
Group by continent
order by TotalDeathCount desc
```
## License
This project is licensed under the MIT License.
## Contact
For questions or collaboration:
- **Email:** [email protected]
- **GitHub:** [Kirolos00Daniel](https://github.com/your-username)