{"id":14068199,"url":"https://github.com/carlosstack/cleaning-data-in-r","last_synced_at":"2025-07-30T02:33:29.706Z","repository":{"id":224195474,"uuid":"293623386","full_name":"carlosstack/cleaning-data-in-r","owner":"carlosstack","description":":pick: :gem: Taking raw data and converting it to tidy data that can be used for later analysis","archived":false,"fork":false,"pushed_at":"2020-09-09T05:40:43.000Z","size":1487,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-08-13T07:14:22.076Z","etag":null,"topics":["data-cleaning","data-manipulation","r-programming","regular-expression"],"latest_commit_sha":null,"homepage":"https://www.coursera.org/account/accomplishments/certificate/V5R9VVYPKEBV","language":"R","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/carlosstack.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":"2020-09-07T20:14:40.000Z","updated_at":"2020-10-20T15:59:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"6959c368-af91-4a4a-8672-6806f32728d7","html_url":"https://github.com/carlosstack/cleaning-data-in-r","commit_stats":null,"previous_names":["carlosstack/cleaning-data-in-r"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/carlosstack%2Fcleaning-data-in-r","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/carlosstack%2Fcleaning-data-in-r/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/carlosstack%2Fcleaning-data-in-r/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/carlosstack%2Fcleaning-data-in-r/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/carlosstack","download_url":"https://codeload.github.com/carlosstack/cleaning-data-in-r/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228075780,"owners_count":17865551,"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-cleaning","data-manipulation","r-programming","regular-expression"],"created_at":"2024-08-13T07:06:01.204Z","updated_at":"2024-12-04T08:31:45.997Z","avatar_url":"https://github.com/carlosstack.png","language":"R","funding_links":[],"categories":["R"],"sub_categories":[],"readme":"![Getting and Cleaning Data Course Project](./assets/cover.jpg?raw=true \"Title\")\n\n## The Goal\nPrepare tidy data that can be used for later analysis.\n\n## The Data Set\nThe data was collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:\nhttp://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones\n\nHere are the data for the project:\nhttps://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip\n\n## How the script works\n![Getting and Cleaning Data Course Project](./assets/diagram.jpg?raw=true \"How the script works\")\n\n## Quick start\n\n| Step | Example |\n| ------------- | ------------- |\n| Download the raw data  | https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip |\n| Unzip the file on the project folder  | The \"UCI HAR Dataset\" folder should look like this: \u003cbr/\u003e ![Folder preview](./assets/folder.jpg?raw=true \"How the script works\")  |\n| Add the script as source  | ```source(\"./run_analysis.R\")```  |\n| Run the script  | ```run_analysis()```  |\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcarlosstack%2Fcleaning-data-in-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcarlosstack%2Fcleaning-data-in-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcarlosstack%2Fcleaning-data-in-r/lists"}