Large amount of data was gathered during the Covid-19 pandemic. Here we have two datasets, one with the information regarding covid-death and another regarding covid-vaccinations. This vast datasets give us an opportunity to explore questions like:
-Likelihood of dying if you contact covid in your country. -What percentage of population infected with Covid? -Countries with Highest Infection Rate compared to Population -Countries with Highest Death Count per Population -Total Population vs Vaccinations -Percentage of Population that has recieved at least one Covid Vaccine
- Covid Deaths Data : new cases, total cases, new deaths, total deaths, deaths per million, new hospital admission, etc.
- Covid Vaccinations Data: country, location, total vaccines, people vaccinated, total vaccinations per hundred, etc.
-To run SQL queries in order to get desired information from the dataset. -To join two datasets for the purpose of analysis. -To export the derived information in the form of tables and create visualization dashboard in Tableau
The checkpoints for the assignment are as follows:
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Load the Dataset in MySQL.
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Perform EDA to look for null values and misaligned data types.
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create new column : total deaths/total cases*100 as ‘deathpercentage’ to know the likelihood of dying if you contact covid.
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create new column : total cases/population*100 as ‘percentinfected’ to know the percentage of populaton infected.
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Find the maximum number of total deaths and group it by location to find the countries with highest death count.
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Add total cases and total deaths to find the global numbers.
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Now join the two datasets on primary key ‘location’, and ‘date’. Now add the new people vaccinated to form an attribute named – ‘rollingpeoplevaccinated’ to show total people vaccinated.
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Now divide rollingpeoplevaccinated with total population to get the percentage of people vaccinated.
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Now create view to store data for further visualization.
Tableau Dashboard: https://public.tableau.com/app/profile/vivek.jariwala/viz/CovidDataExploration_17063601027430/Dashboard1