Overview This project aims to explore and analyze COVID-19 data to gain insights into the impact of the pandemic on various aspects such as infection rates, healthcare systems, and socio-economic factors. By leveraging SQL queries, we examine datasets to uncover trends, patterns, and correlations that can inform decision-making and public health strategies.

Data Sources📈 Analyzing data sources from https://ourworldindata.org/covid-deaths to understand the progression and impact of COVID-19 across different regions and timeframes.

Objectives -Analyze trends in COVID-19 cases, deaths, and recoveries over time. -Investigate the relationship between COVID-19 metrics and demographic variables. -Explore the impact of interventions (e.g., lockdowns, vaccinations) on the spread of the virus. -Identify regional disparities and hotspots of infection.

Methodologies STEPS - 1.Data Cleaning The Covid data from 'OurWorldData' is cleaned and converted into 2 different datasets using Excel

1. Covid Deaths Dataset - Contains the data about Covid deaths in the world till Dec 2023.
2. Covid Vaccinations Dataset - Contains the Vaccinations data till DEC 2023.

2.Data Exploration Data Exploration is performed using MS-SQL Utilizing SQL's powerful querying capabilities to extract, transform, and visualize COVID-related data, aiming to derive valuable insights for decision-makers and the community. Leveraging SQL's functionalities for aggregations joins, and statistical analysis to comprehend the multifaceted aspects of the pandemic.

Directory Structure /data: Contains raw data files used in the analysis. /scripts: SQL scripts for data extraction, transformation, and analysis.

Setup Instructions Clone the repository to your local machine. Install SQL database management system (DBMS) if not already installed. Run SQL scripts in the /scripts directory in sequential order. Review the output files and visualizations in the /results directory. Usage Modify SQL queries or scripts as needed for custom analysis. Refer to documentation for detailed explanations of data sources and methodologies. Share findings with stakeholders and decision-makers for informed decision-making.