{"id":19845766,"url":"https://github.com/jesussantana/statistics","last_synced_at":"2026-04-16T17:32:20.459Z","repository":{"id":113637736,"uuid":"359873156","full_name":"jesussantana/Statistics","owner":"jesussantana","description":"Data, Probabilities, and Statistics","archived":false,"fork":false,"pushed_at":"2021-06-05T14:01:45.000Z","size":6417,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-11T12:33:42.777Z","etag":null,"topics":["correlation","python","statistics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jesussantana.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2021-04-20T15:56:45.000Z","updated_at":"2021-06-21T14:41:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"f08f48be-d95e-48a4-9989-609def339428","html_url":"https://github.com/jesussantana/Statistics","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FStatistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FStatistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FStatistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FStatistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jesussantana","download_url":"https://codeload.github.com/jesussantana/Statistics/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241224621,"owners_count":19929974,"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":["correlation","python","statistics"],"created_at":"2024-11-12T13:09:15.036Z","updated_at":"2025-10-30T21:03:46.292Z","avatar_url":"https://github.com/jesussantana.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IT Academy - Data Science with Python\n## Sprint 7: Data, Probabilities \u0026 Statistics\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)  \n[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge\u0026logo=Jupyter)](https://jupyter.org/try)  \n[![wakatime](https://wakatime.com/badge/github/jesussantana/Statistics.svg)](https://wakatime.com/badge/github/jesussantana/Statistics)  \n\n### Description\nLearn how to perform statistics with Python.\n\n\n### Level 1\n\n- Exercise 1: \n  - Grab a sports theme dataset you like and select an attribute from the dataset. Calculate the mode, median, standard deviation, and arithmetic mean.\n\n- Exercise 2: \n  - Continuing with the sports topic data, select two attributes and calculate their correlation.\n  \n### Level 2\n\n- Exercise 3: \n  - Continuing with the sports theme data, calculate the correlation of all attributes with each other and represent them in a matrix with different colors of intensity.\n\n### Level 3\n\n- Exercise 4: \n  - Continuing with the sports theme data, select an attribute and calculate the geometric mean and harmonic mean.\n\n\n### Targets\n\n- Calculate different data statistics\n- Graph different statistics of the data","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fstatistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjesussantana%2Fstatistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fstatistics/lists"}