Skip to content

spmridula/sql-covid19-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

COVID-19 Global SQL Analysis

SQL-based analysis of global COVID-19 data across 60 countries using Python, SQLite and Pandas on Kaggle.

Live Notebook

View on Kaggle

Queries Covered

  1. Top 10 Countries by Total Cases
  2. Top 10 Countries by Death Rate
  3. Total Cases, Deaths and Recoveries by Continent
  4. Average Recovery Rate by Continent
  5. Countries with Death Rate above 2%
  6. Most Affected Countries per Million Population
  7. Countries with Highest Active Cases
  8. Continent with Best and Worst Recovery and Death Rates
  9. Countries where Recovery Rate Exceeds 95%
  10. Overall Global Summary

Tools Used

  • Python (pandas, sqlite3)
  • SQL (SQLite)
  • Kaggle Notebooks

Dataset

  • Source: Our World in Data — COVID-19
  • 60 countries, 11 features

About

COVID-19 global data analysis using SQL queries on Kaggle

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors