COVID-19 Data Analysis Part 1
Tools & Skills
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Excel​
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Cleaning/reformating​
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SQL
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Joins
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CTE's
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Temp Tables
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Windows Functions
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Aggregate Functions
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Creating Views
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Converting Data Types
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Tableau
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Data Visualizations​
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Dashboard
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In this project I explored the Covid-19 Dataset from https://ourworldindata.org/covid-deaths. I utilized Excel, SQL and Tableau to clean, analyze and visualize the data to demonstrate the infection and death rates separated by country.
For the first part of the project I used Excel to reformat the data and to separate the data into two spreadsheets. One that will includes data for death rates and another for vaccinations. I uploaded my CSV files onto PostgreSQL to clean and analyze the dataset to determine the death rate from Covid-19.
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I queried the data to find:
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Total Cases vs. Total Deaths using
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Total Cases vs. Population
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Countries with the Highest Infection Rate compared to Population
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Countries with the Highest Death Count per Population
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What Continent has the Highest Death Count per Population
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What is the Global Death Rate
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Percent Population Vaccinated
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United States Death Percentage
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Total Population vs Vaccinated
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Continental Death Rate
For the second part of the project, I created views and saved query results to upload into Tableau for data visualizations and a dashboard. To see these visualizations please click the link to Tableau.​