COVID-19 Data Analysis and Vaccination Progress

Overview

This project explores and analyzes COVID-19 data, focusing on various aspects such as total cases, total deaths, infection rates, and vaccination progress. The analysis is performed using SQL queries on a dataset named Covid Deaths and Covid Vaccinations, which includes information on COVID-19 cases, deaths, and vaccinations across different locations and continents.

Project Structure

1. Total Cases vs Total Deaths

• Evaluates the likelihood of death if one contracts COVID-19 in a specific country.

2. Total Cases vs Population

• Examines the relationship between total cases and the population of a specific country.

3. Highest Infection Rates Compared to Population

• Identifies countries with the highest infection rates relative to their population.

4. Highest Death Count Per Population

• Lists countries with the highest death count per population.

5. Continents with the Highest Death Count Per Population

• Highlights continents with the highest death count per population.

6. Global COVID-19 Percentage

• Provides global statistics on total cases, total deaths, and the death percentage.

7. Joining COVID Deaths and Vaccinations

• Combines COVID-19 deaths and vaccination data based on location and date.

8. Total Population vs Vaccinations

• Analyzes the relationship between total population and new vaccinations.

9. Vaccination Percentage by Country

• Calculates the percentage of the population vaccinated over time for each country.

10. Creating a New View: Vaccination Percentage

• Defines a view named "VaccinationPercentage" to simplify the analysis of vaccination progress.

Dataset

Dataset Link - https://ourworldindata.org/covid-deaths The project utilizes the dataset, including COVID-19 cases, deaths, and vaccination information.

Skills Used

Joins, CTE's, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, Converting Data Types