{"id":21325596,"url":"https://github.com/juanpablo70/pgad-assignment02","last_synced_at":"2026-05-18T22:13:18.662Z","repository":{"id":147251454,"uuid":"615897476","full_name":"JuanPablo70/PGAD-Assignment02","owner":"JuanPablo70","description":"Alzheimer data set analysis","archived":false,"fork":false,"pushed_at":"2023-09-03T18:22:53.000Z","size":66,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-22T12:29:39.053Z","etag":null,"topics":["data","data-science","dataframe","dataset","jupyter-notebook","r"],"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/JuanPablo70.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":"2023-03-19T01:50:45.000Z","updated_at":"2023-09-03T00:57:21.000Z","dependencies_parsed_at":null,"dependency_job_id":"0f3ae62e-8f76-44ff-bcd2-b25f825d5c49","html_url":"https://github.com/JuanPablo70/PGAD-Assignment02","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/JuanPablo70%2FPGAD-Assignment02","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuanPablo70%2FPGAD-Assignment02/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuanPablo70%2FPGAD-Assignment02/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JuanPablo70%2FPGAD-Assignment02/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JuanPablo70","download_url":"https://codeload.github.com/JuanPablo70/PGAD-Assignment02/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243806037,"owners_count":20350773,"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","data-science","dataframe","dataset","jupyter-notebook","r"],"created_at":"2024-11-21T21:06:42.939Z","updated_at":"2026-05-18T22:13:18.154Z","avatar_url":"https://github.com/JuanPablo70.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Escuela Colombiana de Ingeniería\n\n# Alzheimer data set\n\nThis project is an analysis of the [Alzheimer Features](https://www.kaggle.com/datasets/brsdincer/alzheimer-features) data set taken from Kaggle where it reads a cvs file, gives information of the missing values of the data set with a graph, imputes data in the missing values, and plots an histogram, a scatter plot and its correlation matrix.\n\n### Prerequisites\n\n+ R\n+ Jupyter Notebook\n+ Git\n\n### Installing\n\nTo download this project, you must run the following command down below.\n\n```\ngit clone https://github.com/JuanPablo70/PGAD-Assignment02.git\n```\n\nIf you haven't set the R kernel on your computer, download and install [R for Windows](https://cran.r-project.org/bin/windows/base/) on your computer. Once R is installed, run the following commands in the R terminal:\n\n```\ninstall.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest'))\n\ninstall.packages('IRkernel')\n\nIRkernel::installspec() or IRkernel::installspec(user = FALSE) #install system-wide\n```\n\nTaken from [RUNNING R ON JUPYTER NOTEBOOK WITH R KERNEL (NO ANACONDA)](https://simply-python.com/2019/06/24/running-r-on-jupyter-notebook-with-r-kernel-no-anaconda/).\n\n### Running the notebook\n\nOnce you have opened the ```AlzheimerFeatures.ipynb``` file, run each cell with ```shift``` + ```Enter``` or go to the Cell tab and click on ```Run All``` and see the results.\n\n### Author\n\nJuan Pablo Sánchez Bermúdez\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuanpablo70%2Fpgad-assignment02","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjuanpablo70%2Fpgad-assignment02","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjuanpablo70%2Fpgad-assignment02/lists"}