{"id":19765473,"url":"https://github.com/vidushibhadana/covid19-data-exploration-using-sql","last_synced_at":"2025-08-19T22:07:14.760Z","repository":{"id":257985939,"uuid":"873247031","full_name":"vidushibhadana/Covid19-Data-Exploration-Using-SQL","owner":"vidushibhadana","description":"Deployed diverse SQL techniques to analyze COVID-19 data for an improved understanding of pandemic's regression.","archived":false,"fork":false,"pushed_at":"2024-10-24T10:57:54.000Z","size":41394,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-11T00:12:39.535Z","etag":null,"topics":["data","database","database-management","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/vidushibhadana.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":"2024-10-15T20:59:44.000Z","updated_at":"2024-10-24T10:57:58.000Z","dependencies_parsed_at":"2024-10-24T14:16:57.568Z","dependency_job_id":null,"html_url":"https://github.com/vidushibhadana/Covid19-Data-Exploration-Using-SQL","commit_stats":null,"previous_names":["vidushibhadana/covid19-data-exploration-using-sql"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidushibhadana%2FCovid19-Data-Exploration-Using-SQL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidushibhadana%2FCovid19-Data-Exploration-Using-SQL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidushibhadana%2FCovid19-Data-Exploration-Using-SQL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vidushibhadana%2FCovid19-Data-Exploration-Using-SQL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vidushibhadana","download_url":"https://codeload.github.com/vidushibhadana/Covid19-Data-Exploration-Using-SQL/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241096345,"owners_count":19908968,"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":["data","database","database-management","sql"],"created_at":"2024-11-12T04:18:14.704Z","updated_at":"2025-02-28T03:46:22.618Z","avatar_url":"https://github.com/vidushibhadana.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# COVID-19 Data Exploration Project\nThis project involves the thorough analysis of COVID-19 data utilizing SQL techniques to extract meaningful insights and trends. The main goal of this project is to gain a comprehensive understanding of the pandemic's impact on different regions and timeframes.\n\n# Project Overview\nThe project focuses on employing various SQL techniques to explore and analyze COVID-19 data. It utilizes joins, CTEs, temporary tables, window functions, aggregate functions, and creating views to achieve the following objectives: •Consolidate data from multiple sources to amalgamate case counts, deaths, and population data.\n\n• Break down complex operations into manageable components using CTEs, enhancing query readability.\n\n• Optimize query performance through temporary tables to reduce redundant calculations.\n\n• Enhance reusability by creating a view named \"PercentPopulationVaccinated\" for vaccination percentage calculations.\n\nProject Structure\nContains a series of SQL queries that explore various aspects of the COVID-19 data. Each query addresses a specific analysis objective, demonstrating different SQL techniques.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvidushibhadana%2Fcovid19-data-exploration-using-sql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvidushibhadana%2Fcovid19-data-exploration-using-sql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvidushibhadana%2Fcovid19-data-exploration-using-sql/lists"}