This project analyzes global COVID-19 data using SQL and Tableau to uncover trends in infection rates, mortality, and vaccination progress.
- Analyze total cases and deaths across countries
- Identify countries with the highest infection and mortality rates
- Track vaccination progress over time
- Calculate key metrics such as death percentage and infection rate
- Microsoft SQL Server (SSMS)
- SQL (T-SQL)
- Tableau (Data Visualization)
- Excel (initial data inspection)
- Source: Our World in Data (COVID-19 Dataset)
- Includes: Cases, deaths, population, vaccinations
- Calculated death percentage per country
- Evaluated severity of COVID-19 impact globally
- Compared total cases relative to population size
- Identified countries with highest infection rates
- Ranked countries based on total deaths
- Analyzed global distribution of fatalities
- Used window functions to calculate rolling vaccination totals
- Measured effectiveness of vaccination rollout over time
An interactive dashboard was created in Tableau to visualize:
- Global cases, deaths, and death percentage
- Total deaths by continent
- Percent population infected by country (map visualization)
- Infection trends over time
View the interactive dashboard here: https://public.tableau.com/app/profile/larson.st.cyr/viz/CovidDashboard_17541579876190/Dashboard1
- Europe and North America had the highest total death counts
- Infection rates varied significantly across countries and regions
- Vaccination rollout showed a strong correlation with reduced death growth over time
- Global COVID-19 Dashboard (Tableau)
- Infection rate map by country
- Death count by continent (bar chart)
- Infection trend over time (line chart)
- Writing advanced SQL queries using joins, aggregations, and window functions in SSMS
- Transforming raw datasets into structured, query-ready formats
- Building interactive dashboards in Tableau to communicate insights effectively
- Connecting SQL outputs to visualization tools for end-to-end analysis