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COVID-19 Data Analysis Part 1

Tools & Skills
  • Excel​

    • Cleaning/reformating​

  • SQL

    • Joins

    • CTE's

    • Temp Tables

    • Windows Functions

    • Aggregate Functions

    • Creating Views

    • Converting Data Types

  • Tableau

    • Data Visualizations​

    • Dashboard

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:

  • Total Cases vs. Total Deaths using

  • Total Cases vs. Population

  • Countries with the Highest Infection Rate compared to Population

  • Countries with the Highest Death Count per Population

  • What Continent has the Highest Death Count per Population

  • What is the Global Death Rate

  • Percent Population Vaccinated

  • United States Death Percentage

  • Total Population vs Vaccinated

  • 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.​
 

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