COVID-19-Data-Analytics

Scenario

I am a junior data analyst working for the World Health Organization (WHO). I have been at my job for six months, then the Coronavirus pandemic hit. Working with 194 Member States, across six regions, and from more than 150 offices, WHO staff are united in a shared commitment to achieve better health for everyone, everywhere. I have been asked to lead the COVID-19 project — this involves presenting data-driven recommendations on the best way to prevent and slow down transmission of the disease. I will ask the right questions, ensure the data’s integrity, conduct analysis, create compelling data visualizations, and prepare a presentation.

Ask Phase

Problem Statement (Who, Where, What, When): As of January 2020, over 3.5 million people and counting have died from the COVID-19 pandemic from all over the world. The business task requires that I find the best way to help prevent and slow down transmission of the disease.

What is the Problem type (Making predictions, categorizing things, spotting something unusual, identifying themes, discovering connections, finding patterns)

Asking SMART questions

What is the mortality risk of COVID-19 – the likelihood that someone who is infected with the disease will die from it? Does the disease affect certain demographics more than others? If so, which people are more likely to get severely ill and die from the disease?

What percentage of a country’s population is infected with Covid-19?

Hypothesis

COVID-19 cases are increasing and people with pre-existing conditions are most at risk of death.

Why? Why? Why?

Prepare Phase

COVID-19 Deaths (made available by Our World in Data under Creative Commons license): Cumulative confirmed COVID-19 deaths and cases by country. The data is in long format.

Process Phase

• I cast the number of deaths and date fields to numbers

Analyze Phase

Select *
From PortfolioProject..CovidDeaths
Where continent is not null 
order by 3,4

Select Data that we are going to be starting with

Select Location, date, total_cases, new_cases, total_deaths, population
From PortfolioProject..CovidDeaths
Where continent is not null 
order by 1,2

Total Cases vs Total Deaths

Shows likelihood of dying if you contract covid in your country

Select Location, date, total_cases,total_deaths, (total_deaths/total_cases)*100 as DeathPercentage
From PortfolioProject..CovidDeaths
Where location like '%states%'
and continent is not null 
order by 1,2

Total Cases vs Population

Shows what percentage of population infected with Covid

Select Location, date, Population, total_cases,  (total_cases/population)*100 as PercentPopulationInfected
From PortfolioProject..CovidDeaths
--Where location like '%states%'
order by 1,2

Countries with Highest Infection Rate compared to Population

Select Location, Population, MAX(total_cases) as HighestInfectionCount,  Max((total_cases/population))*100 as PercentPopulationInfected
From PortfolioProject..CovidDeaths
--Where location like '%states%'
Group by Location, Population
order by PercentPopulationInfected desc

Countries with Highest Death Count per Population

Select Location, MAX(cast(Total_deaths as int)) as TotalDeathCount
From PortfolioProject..CovidDeaths
--Where location like '%states%'
Where continent is not null 
Group by Location
order by TotalDeathCount desc

BREAKING THINGS DOWN BY CONTINENT

Showing contintents with the highest death count per population

Select continent, MAX(cast(Total_deaths as int)) as TotalDeathCount
From PortfolioProject..CovidDeaths
--Where location like '%states%'
Where continent is not null 
Group by continent
order by TotalDeathCount desc

GLOBAL NUMBERS

Select SUM(new_cases) as total_cases, SUM(cast(new_deaths as int)) as total_deaths, SUM(cast(new_deaths as int))/SUM(New_Cases)*100 as DeathPercentage
From PortfolioProject..CovidDeaths
--Where location like '%states%'
where continent is not null 
--Group By date
order by 1,2

Total Population vs Vaccinations

Shows Percentage of Population that has recieved at least one Covid Vaccine

Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
--, (RollingPeopleVaccinated/population)*100
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
	On dea.location = vac.location
	and dea.date = vac.date
where dea.continent is not null 
order by 2,3

Using CTE to perform Calculation on Partition By in previous query

With PopvsVac (Continent, Location, Date, Population, New_Vaccinations, RollingPeopleVaccinated)
as
(
Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
--, (RollingPeopleVaccinated/population)*100
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
	On dea.location = vac.location
	and dea.date = vac.date
where dea.continent is not null 
--order by 2,3
)
Select *, (RollingPeopleVaccinated/Population)*100
From PopvsVac

Using Temp Table to perform Calculation on Partition By in previous query

DROP Table if exists #PercentPopulationVaccinated
Create Table #PercentPopulationVaccinated
(
Continent nvarchar(255),
Location nvarchar(255),
Date datetime,
Population numeric,
New_vaccinations numeric,
RollingPeopleVaccinated numeric
)

Insert into #PercentPopulationVaccinated
Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
--, (RollingPeopleVaccinated/population)*100
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
	On dea.location = vac.location
	and dea.date = vac.date
--where dea.continent is not null 
--order by 2,3

Select *, (RollingPeopleVaccinated/Population)*100
From #PercentPopulationVaccinated

Creating View to store data for later visualizations

Create View PercentPopulationVaccinated as
Select dea.continent, dea.location, dea.date, dea.population, vac.new_vaccinations
, SUM(CONVERT(int,vac.new_vaccinations)) OVER (Partition by dea.Location Order by dea.location, dea.Date) as RollingPeopleVaccinated
--, (RollingPeopleVaccinated/population)*100
From PortfolioProject..CovidDeaths dea
Join PortfolioProject..CovidVaccinations vac
	On dea.location = vac.location
	and dea.date = vac.date
where dea.continent is not null

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