{"id":26814619,"url":"https://github.com/patangaysheetal/dataanalyticspersonalprojects","last_synced_at":"2026-04-28T15:40:09.996Z","repository":{"id":224269885,"uuid":"762864817","full_name":"Patangaysheetal/DataAnalyticsPersonalProjects","owner":"Patangaysheetal","description":null,"archived":false,"fork":false,"pushed_at":"2024-10-21T01:54:39.000Z","size":31387,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-24T23:06:01.243Z","etag":null,"topics":["advance-excel","dashboard-development","data-cleaning-and-preprocessing","data-visualization","jupyter-notebook","microsoft-sql-server-management-studio","python","sql","tableau-public"],"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/Patangaysheetal.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,"zenodo":null}},"created_at":"2024-02-24T22:39:39.000Z","updated_at":"2025-03-13T17:21:55.000Z","dependencies_parsed_at":"2025-06-24T23:06:05.423Z","dependency_job_id":"9808dea2-3a2e-43a9-9109-a4bd6a11d961","html_url":"https://github.com/Patangaysheetal/DataAnalyticsPersonalProjects","commit_stats":null,"previous_names":["patangaysheetal/portfolioproject1","patangaysheetal/dataanalyticsprojects","patangaysheetal/dataanalyticspersonalprojects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Patangaysheetal/DataAnalyticsPersonalProjects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Patangaysheetal%2FDataAnalyticsPersonalProjects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Patangaysheetal%2FDataAnalyticsPersonalProjects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Patangaysheetal%2FDataAnalyticsPersonalProjects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Patangaysheetal%2FDataAnalyticsPersonalProjects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Patangaysheetal","download_url":"https://codeload.github.com/Patangaysheetal/DataAnalyticsPersonalProjects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Patangaysheetal%2FDataAnalyticsPersonalProjects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32387916,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["advance-excel","dashboard-development","data-cleaning-and-preprocessing","data-visualization","jupyter-notebook","microsoft-sql-server-management-studio","python","sql","tableau-public"],"created_at":"2025-03-30T02:16:26.845Z","updated_at":"2026-04-28T15:40:09.951Z","avatar_url":"https://github.com/Patangaysheetal.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Covid-19 Dashboard- Personal Project\n\nThis repository contains a personal project where I developed an interactive **Covid-19 dashboard** using **Advanced Excel**, **SQL** on **Microsoft SQL Server Management Studio**, and **Tableau**. The project analyzes two datasets sourced from Kaggle: **Covid Deaths** and **Covid Vaccines**, providing insightful visualizations on global trends.\n\n## Technologies and Tools Used\n\n### 1. Advanced Excel\nI used advanced Excel functions to:\n- Clean, organize, and filter the raw Covid-19 data.\n- Handle missing values and perform initial data analysis before importing it into SQL Server.\n\n### 2. Microsoft SQL Server Management Studio (SSMS)\nSQL was used for:\n- **Data Integration**: Combining and joining the **Covid Deaths** and **Covid Vaccines** datasets.\n- **Data Querying**: Writing complex queries to extract meaningful insights about Covid-19 trends, vaccination progress, and death rates.\n- **Data Cleaning**: Removed duplicates and handled data integrity issues.\n\n### 3. Tableau\nTableau was used to create an interactive dashboard with key features:\n- **Global Covid-19 Death Trends**: Visualizes the total number of deaths by country and region over time.\n- **Vaccination Progress**: Tracks vaccine distribution and coverage across different countries.\n- **Death and Vaccine Correlation**: Provides insights into the relationship between vaccination rates and Covid-19 death trends.\n\n## Features of the Dashboard\n\n- **Interactive Filters**: Users can filter the data by region, country, and date range.\n- **Visualization of Death Rates**: Bar charts and line graphs to depict Covid-19 death rates globally.\n- **Vaccine Distribution Maps**: Geographic visualizations to track vaccine rollouts across countries.\n- **Correlation Insights**: Analyze the correlation between vaccination rates and the reduction in death rates.\n\n## Datasets\n\nThe datasets used for this project were sourced from Kaggle:\n- **Covid Deaths Dataset**: Contains data on Covid-19 deaths across various countries and regions.\n- **Covid Vaccines Dataset**: Includes data on vaccine distribution and administration by country.\n\n## Development Process\n\n1. **Data Collection**: Gathered the Covid-19 deaths and vaccines datasets from Kaggle.\n2. **Data Cleaning**: Cleaned the datasets using Excel and SQL, handling missing values and ensuring data consistency.\n3. **Data Integration**: Combined the two datasets using SQL to create a comprehensive view of Covid-19 trends.\n4. **Dashboard Creation**: Built interactive visualizations in Tableau to provide a clear and user-friendly interface for analyzing the data.\n5. **Testing and Validation**: Ensured the accuracy of the data and functionality of the dashboard.\n\n## How to Run the Project\n\n1. **Install Tableau**: Make sure you have Tableau Desktop or Tableau Public installed.\n2. **Clone the Repository**: Clone or download the repository to your local machine.\n3. **Set Up SQL Server**: Import the datasets into **Microsoft SQL Server Management Studio** (SSMS) and run the provided SQL scripts to query the data.\n4. **Open the Tableau Dashboard**: Open the Tableau workbook files (`.twbx`) included in the repository to explore the interactive Covid-19 dashboard.\n\n## Conclusion\n\nThis project showcases my ability to work with large datasets, clean and process data using Excel and SQL, and create insightful visualizations in Tableau. The Covid-19 dashboard serves as a tool for tracking global trends in death rates and vaccination progress, providing users with interactive insights.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatangaysheetal%2Fdataanalyticspersonalprojects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatangaysheetal%2Fdataanalyticspersonalprojects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatangaysheetal%2Fdataanalyticspersonalprojects/lists"}