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https://github.com/tynoee/covid19_data_analysis

This is an analysis of Covid 19 dataset using multiple SQL queries. The dataset used for this analysis includes various information regarding COVID-19 cases such as confirmed cases, deaths, and recoveries, segmented by different geographical locations and time periods.
https://github.com/tynoee/covid19_data_analysis

data-analysis excel sql sqlserver-2019 tableau tableau-public

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This is an analysis of Covid 19 dataset using multiple SQL queries. The dataset used for this analysis includes various information regarding COVID-19 cases such as confirmed cases, deaths, and recoveries, segmented by different geographical locations and time periods.

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# ๐Ÿฆ  COVID-19 Data Analysis & Visualization

This project analyzes and visualizes global COVID-19 trends using **SQL** and **Tableau**. The dataset includes key metrics such as confirmed cases, deaths, vaccinations, and recoveries, segmented by country, continent, and time.

## ๐Ÿงน Data Cleaning & Preparation

- The original dataset was cleaned and pre-processed using **Microsoft Excel**.
- It was split into two main tables:
- `CovidDeaths`
- `CovidVaccinations`
- These tables were then imported into **SQL Server** for querying and analysis.

## ๐Ÿ›  Tools & Technologies

- **Microsoft Excel** โ€“ Initial data cleaning and formatting
- **SQL Server** โ€“ Data querying and aggregation
- **Tableau Public** โ€“ Interactive data visualization

## ๐Ÿ“Š Tableau Dashboard

The interactive dashboard visualizes global and regional COVID-19 trends, featuring:

- **Global Numbers**
- **Percent Population Infected Per Country**
- **Total Deaths Per Continent**
- **Percent Population Infected**

๐Ÿ”— [View the COVID-19 Dashboard on Tableau Public](https://public.tableau.com/app/profile/tinotenda.chidume/viz/Covid19Dashboard_17480847809640/Dashboard1?publish=yes)

## ๐Ÿ“Œ Key Insights

- Some countries had disproportionately high infection rates relative to population size.
- Vaccination rollout pace varied widely by region.
- Death rates showed stark contrasts between continents.