{"id":20755987,"url":"https://github.com/josewebdev2000/space-mission-data-analysis","last_synced_at":"2025-07-03T03:05:39.775Z","repository":{"id":201846049,"uuid":"706940942","full_name":"josewebdev2000/Space-Mission-Data-Analysis","owner":"josewebdev2000","description":"Exploring space mission data and creating graphs in base of it.","archived":false,"fork":false,"pushed_at":"2023-10-19T23:17:07.000Z","size":332,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-03T03:05:39.504Z","etag":null,"topics":["csv","data-analysis","data-science","data-visualization","matplotlib","matplotlib-figures","matplotlib-pyplot","pandas","pandas-dataframe","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/josewebdev2000.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}},"created_at":"2023-10-18T22:43:23.000Z","updated_at":"2023-10-19T22:02:08.000Z","dependencies_parsed_at":null,"dependency_job_id":"4f80e9fc-4b8f-4fb1-a921-63b660e3dc27","html_url":"https://github.com/josewebdev2000/Space-Mission-Data-Analysis","commit_stats":null,"previous_names":["josewebdev2000/space-mission-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/josewebdev2000/Space-Mission-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josewebdev2000%2FSpace-Mission-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josewebdev2000%2FSpace-Mission-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josewebdev2000%2FSpace-Mission-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josewebdev2000%2FSpace-Mission-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/josewebdev2000","download_url":"https://codeload.github.com/josewebdev2000/Space-Mission-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josewebdev2000%2FSpace-Mission-Data-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263250602,"owners_count":23437288,"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":["csv","data-analysis","data-science","data-visualization","matplotlib","matplotlib-figures","matplotlib-pyplot","pandas","pandas-dataframe","python"],"created_at":"2024-11-17T09:28:24.020Z","updated_at":"2025-07-03T03:05:39.735Z","avatar_url":"https://github.com/josewebdev2000.png","language":"Jupyter Notebook","readme":"# Space Mission Data Analysis\n\u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"spaceship.jpeg\" alt=\"Spaceship Image\"\u003e\n\u003c/div\u003e\n\n## Overview\n\u003cdiv\u003e\n    \u003cp\u003eI decided to analyze data regarding space missions for a simple data processing, analysis, and visualization project.\u003c/p\u003e\n    \u003cp\u003eThe main focus of this project is the number of missions each country conducted and the percentage of success they had.\u003c/p\u003e\n    \u003cp\u003eThis project led me to conclude that is it necessary to consider the total number of samples before considering percentages to extract a good conclusion.\u003c/p\u003e\n\u003c/div\u003e\n\n## Data Source\n\u003cdiv\u003e\n    \u003cp\u003eI extracted the data from a Kaggle project called: \u003ca href=\"https://www.kaggle.com/code/kanncaa1/space-mission-from-1957-data-analysis/input\" _target=\"blank\"\u003eSpace Mission from 1957 Data Analysis\u003c/a\u003e\u003c/p\u003e\n    \u003cp\u003eIt is \u003cb\u003erequired to log in\u003c/b\u003e in order to download the CSV file. But beyond that is it free to get the data.\u003c/p\u003e\n\u003c/div\u003e\n\n## Technologies\n\u003cdiv\u003e\n    \u003cp\u003eThis project involves the usage of the following technologies:\u003c/p\u003e\n    \u003cul\u003e\n        \u003cli\u003e\u003cb\u003ePython\u003c/b\u003e\u003c/li\u003e\n        \u003cli\u003e\u003cb\u003ePandas\u003c/b\u003e\u003c/li\u003e\n        \u003cli\u003e\u003cb\u003eMatplotlib\u003c/b\u003e\u003c/li\u003e\n    \u003c/ul\u003e\n\u003c/div\u003e\n\n## Graphs Extracted\n\u003cdiv\u003e\n    \u003cp\u003eThe following are the graphs I created in base of the analysis I made\u003c/p\u003e\n    \u003cdiv\u003e\n        \u003cp\u003e1. Graph about countries and the number of missions each of them conducted\u003c/p\u003e\n        \u003cimg src=\"countries_n_mission_num_bar_chart.png\" alt=\"Countries vs Number of Missions Bar Chart\"\u003e \n    \u003c/div\u003e\n    \u003cbr\u003e\n    \u003cdiv\u003e\n        \u003cp\u003e2. Graph about countries and the percentage of successful missions each of them conducted.\u003c/p\u003e\n        \u003cimg src=\"countries_n_success_mission_percentage_bar_chart.png\" alt=\"Countries vs Success Mission Percentage Bar Chart\"\u003e\n    \u003c/div\u003e\n\u003cdiv\u003e\n\n## Conclusion\n\u003cdiv\u003e\n    \u003cp\u003eFrom the charts I conclude that \u003cb\u003ethe United States of America is the most reliable country in regards to space missions\u003c/b\u003e because it has a \u003cb\u003ehigh percentage of success missions\u003c/b\u003e and it is the country that launched \u003cb\u003ethe most space missions\u003c/b\u003e according to the analyzed data set.\u003c/p\u003e\n\u003c/div\u003e\n\n## Disclaimer\n\u003cdiv\u003e\n    \u003cp\u003eIn case you found out a mistake about my analysis, please leave a comment to I can correct it.\u003c/p\u003e\n\u003c/div\u003e\n\n## Copyright\n\u003cdiv\u003e\n    \u003cblockquote\u003e\n        \u003ca href=\"https://github.com/josewebdev2000\"\u003e\u0026copy; josewebdev2000\u003c/a\u003e 2023\n    \u003c/blockquote\u003e\n\u003c/div\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosewebdev2000%2Fspace-mission-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjosewebdev2000%2Fspace-mission-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjosewebdev2000%2Fspace-mission-data-analysis/lists"}