{"id":26489115,"url":"https://github.com/tedoaba/launch-record-dashboard","last_synced_at":"2025-03-20T07:19:59.516Z","repository":{"id":221498259,"uuid":"754542289","full_name":"tedoaba/Launch-Record-Dashboard","owner":"tedoaba","description":"This Repository contains IBM Data science course on Coursera SpaceX Dashboard","archived":false,"fork":false,"pushed_at":"2024-04-09T07:14:12.000Z","size":70,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-04-10T07:41:45.965Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/tedoaba.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}},"created_at":"2024-02-08T09:27:05.000Z","updated_at":"2024-04-10T07:41:45.966Z","dependencies_parsed_at":"2024-02-08T11:24:08.484Z","dependency_job_id":"f60e9590-0cb3-4562-9356-a5ab8a8ac90d","html_url":"https://github.com/tedoaba/Launch-Record-Dashboard","commit_stats":null,"previous_names":["tedoaba/spacex-dashboard"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FLaunch-Record-Dashboard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FLaunch-Record-Dashboard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FLaunch-Record-Dashboard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FLaunch-Record-Dashboard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tedoaba","download_url":"https://codeload.github.com/tedoaba/Launch-Record-Dashboard/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244566946,"owners_count":20473451,"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":[],"created_at":"2025-03-20T07:19:58.988Z","updated_at":"2025-03-20T07:19:59.504Z","avatar_url":"https://github.com/tedoaba.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SpaceX Launch Records Dashboard\n\nThis repository contains a dashboard application built using Dash and Plotly libraries in Python. The dashboard visualizes SpaceX launch records, allowing users to explore data related to launch sites, payload mass, and launch success.\n\n## Features\n\n### 1. Launch Site Selection Dropdown\n\n- Users can select a launch site from a dropdown list.\n- Options include:\n  - All Sites\n  - CCAFS LC-40\n  - CCAFS SLC-40\n  - KSC LC-39A\n  - VAFB SLC-4E\n\n### 2. Total Successful Launches Pie Chart\n\n- Displays the total count of successful launches for all sites or for a specific selected site.\n\n### 3. Payload Range Slider\n\n- Allows users to select a payload range using a slider.\n- The range can be adjusted to filter data based on payload mass.\n\n### 4. Payload vs. Launch Success Scatter Chart\n\n- Shows the correlation between payload mass and launch success.\n- Users can filter data by both launch site and payload range.\n\n## Setup Instructions\n\n1. Clone this repository to your local machine.\n2. Ensure you have Python installed on your system.\n3. Install the required libraries by running:\n\n    ```python\n\n        pip install pandas dash plotly\n\n    ```\n\n4. Run the application by executing the following command:\n\n    ```python\n\n        python space_dash_app.py\n\n    ```\n\n5. Open a web browser and navigate to http://127.0.0.1:8050/ to view the dashboard.\n\n## Usage\n\n- Select a launch site from the dropdown list.\n- Adjust the payload range using the slider to filter data.\n- Explore the pie chart and scatter chart to analyze SpaceX launch records.\n\n## Screenshots\n\n### Total Successful Launches for All Sites\n\n![Total Successful Launches for All Sites)](screenshots/launch-success.png)\n\n### Correlation between Payload Mass and Launch Success\n\n![Correlation between Payload Mass and Launch Success)](screenshots/correlation.png)\n\n## Credits\n\n- This project is based on data provided by SpaceX and utilizes Dash and Plotly libraries.\n- Created by **Tadesse Abateneh**.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftedoaba%2Flaunch-record-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftedoaba%2Flaunch-record-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftedoaba%2Flaunch-record-dashboard/lists"}