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An exploratory analysis on covid19 cases and deaths. Other interesting factors which are available in the dataset like, Stringency Index, Human Development Index, Percentage of smokers in population etc., are also explored in this analysis

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shine-jayakumar/Covid19-Exploratory-Analysis-With-SQL

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Exploratory Analysis of Covid19 Dataset with SQL

An exploratory data analysis project on Covid19 cases, deaths, and vaccinations from, 1st Jan, 2020 to 12th May, 2021. This project is purely based on SQL Server, employing its innate capabilities: User-defined Procedures, Temp Tables, CTE, and Views.

Table of Contents

Dataset Overview

SELECT location, MAX(total_cases)
FROM covid19timeseries
WHERE continent IS NOT NULL
continent location
Asia
Africa
South America
North America
Europe
Oceania
  • Datatypes need to be corrected to a Float type as many columns would be imported as varchar

Importing Dataset Into SQL Server

It is recommended that SQL Server Import and Export Data (64 bit) wizard is launched from the Start Menu, and not the inbuilt option available within SSMS

Analysis

  1. List Of Countries Affected By Covid19
  2. Number Of Countries Affected By Covid19
  3. Date Of First Case Reported For Each Country
  4. Total Cases Vs Total Deaths (All Countries) - Observing Change With Time
  5. Total Case Vs Total Deaths (India) - Observing Change With Time
  6. CASES_SUMMARY: Isolating Total Cases, Total Deaths For Each Country
  7. Cases And Deaths Compared To Population
  8. Cases And Deaths Compared To Population (India)
  9. Highest To Lowest Death Count
  10. Cases And Deaths - Continent Wise
  11. Vaccination Start Date For Countries
  12. Total No. Of People Vaccinated, Vaccination Percentage Of Population
  13. TOP 5 countries with most people vaccinated (United States, India, United Kingdom)
  14. Comparing Diabetes Prevalence, Cardiovascular Death Rate To Death Percentage
  15. Comparing Stringency Index to Infected Population And Death Percentage
  16. Comparing Smokers to Infected Population And Death Percentage
  17. Comparing Percentage Of Population Over 65 And 70 To Infected Population And Death Percentage
  18. Comparing GDP, Human Development Index, Extreme Poverty To Vaccinated Population Percentage
  19. Correlation Between New Vaccinations And New Cases For Top 5 Countries with Highest Count Of Vaccination
  20. Correlation Between New Vaccinations And New Deaths For Top 5 Countries with Highest Count Of Vaccination
  21. Correlation Between New Vaccinations And Stringency Index For Top 5 Countries with Highest Count Of Vaccination

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An exploratory analysis on covid19 cases and deaths. Other interesting factors which are available in the dataset like, Stringency Index, Human Development Index, Percentage of smokers in population etc., are also explored in this analysis

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