Covid_data_analysis.sql

use Covid_death_Vacination

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

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

-- Total Cases vs Total Death

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

-- Total Cases vs Population  

Select Location, date, Population, total_cases,  (total_cases/population)*100 as PercentPopulationInfected
From CovidDeaths$
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 CovidDeaths$
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 CovidDeaths$
Where continent is not null 
Group by Location
order by TotalDeathCount desc      

--contintents with the highest death count per population

Select continent, MAX(cast(Total_deaths as int)) as TotalDeathCount
From CovidDeaths$
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 CovidDeaths$
where continent is not null 
order by 1,2       


-- Total Population vs Vaccinations

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
From CovidDeaths$ dea
Join 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
From CovidDeaths$ dea
Join CovidVaccinations$ vac
	On dea.location = vac.location
	and dea.date = vac.date
where dea.continent is not null 
)
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
From CovidDeaths$ dea
Join CovidVaccinations$ vac
	On dea.location = vac.location
	and dea.date = vac.date
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
From CovidDeaths$ dea
Join CovidVaccinations$ vac
	On dea.location = vac.location
	and dea.date = vac.date
where dea.continent is not null