{"id":15003124,"url":"https://github.com/kavitha-19/sqlcoviddataexplorationproject","last_synced_at":"2026-02-03T00:03:37.967Z","repository":{"id":218632573,"uuid":"746966836","full_name":"kavitha-19/SQLCovidDataExplorationProject","owner":"kavitha-19","description":null,"archived":false,"fork":false,"pushed_at":"2024-01-23T02:40:41.000Z","size":21338,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-12T04:20:50.448Z","etag":null,"topics":["microsoft-sql-server","sql"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kavitha-19.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-23T01:50:40.000Z","updated_at":"2024-01-23T02:31:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"94ffcdaf-68c6-4f68-b0c2-df9aa8899568","html_url":"https://github.com/kavitha-19/SQLCovidDataExplorationProject","commit_stats":null,"previous_names":["kavitha-19/covid_sql_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kavitha-19/SQLCovidDataExplorationProject","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavitha-19%2FSQLCovidDataExplorationProject","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavitha-19%2FSQLCovidDataExplorationProject/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavitha-19%2FSQLCovidDataExplorationProject/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavitha-19%2FSQLCovidDataExplorationProject/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kavitha-19","download_url":"https://codeload.github.com/kavitha-19/SQLCovidDataExplorationProject/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kavitha-19%2FSQLCovidDataExplorationProject/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261767720,"owners_count":23206863,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["microsoft-sql-server","sql"],"created_at":"2024-09-24T18:56:13.003Z","updated_at":"2026-02-03T00:03:37.917Z","avatar_url":"https://github.com/kavitha-19.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# COVID-19 Data Exploration Project\n\n## Overview:\n\nThis project involves the exploration and analysis of COVID-19 data using SQL queries. The dataset includes information on COVID-19 cases, deaths, vaccinations, and population statistics across different locations and continents.\n\n## Objectives:\n\n- Understanding the Impact:\n  - Analyzing the total cases and deaths to understand the severity of the COVID-19 impact in various locations.\n  - Calculating death percentages to assess the likelihood of fatality in specific regions.\n\n- Population Impact:\n  - Examining the percentage of the population infected with COVID-19 to gauge the scale of the outbreak.\n  - Identifying countries with the highest infection rates compared to their populations.\n\n- Vaccination Analysis:\n  - Investigating the progress of COVID-19 vaccination campaigns.\n  - Calculating the percentage of the population that has received at least one COVID-19 vaccine.\n\n- Geographical and Temporal Trends:\n  - Analyzing trends across continents, countries, and over time.\n  - Identifying regions with the highest death count per population.\n\n## SQL Techniques Used:\n\n- Joins: Combining data from different tables to enrich the analysis.\n- Common Table Expressions (CTEs): Utilizing CTEs for clearer and modular queries.\n- Window Functions: Employing window functions for calculations over partitions.\n- Aggregate Functions: Summarizing and aggregating data for higher-level insights.\n- Temporary Tables: Using temporary tables for intermediate data storage.\n- Creating Views: Building views to store specific datasets for later use.\n\n## Skills Demonstrated:\n\n- Data Exploration: Extracting valuable insights from complex datasets.\n- SQL Proficiency: Leveraging a variety of SQL functionalities for analysis.\n- Data Visualization Preparation: Preparing data for later visualization tools.\n- Problem Solving: Addressing questions related to COVID-19 impact and vaccination trends.\n\n## Future Steps:\n\nThis project lays the groundwork for further analysis and visualization.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkavitha-19%2Fsqlcoviddataexplorationproject","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkavitha-19%2Fsqlcoviddataexplorationproject","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkavitha-19%2Fsqlcoviddataexplorationproject/lists"}