{"id":13600753,"url":"https://github.com/gicentre/tidy","last_synced_at":"2025-07-13T21:31:39.283Z","repository":{"id":52681118,"uuid":"159131844","full_name":"gicentre/tidy","owner":"gicentre","description":"Utilities for creating 'tidy' data tables","archived":false,"fork":false,"pushed_at":"2021-04-21T10:38:48.000Z","size":279,"stargazers_count":8,"open_issues_count":0,"forks_count":1,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-11-07T03:42:15.447Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Elm","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gicentre.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-11-26T07:59:37.000Z","updated_at":"2024-08-16T11:51:44.000Z","dependencies_parsed_at":"2022-08-22T04:21:05.374Z","dependency_job_id":null,"html_url":"https://github.com/gicentre/tidy","commit_stats":null,"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gicentre%2Ftidy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gicentre%2Ftidy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gicentre%2Ftidy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gicentre%2Ftidy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gicentre","download_url":"https://codeload.github.com/gicentre/tidy/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225919216,"owners_count":17545204,"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":"2024-08-01T18:00:47.855Z","updated_at":"2024-11-22T15:26:19.483Z","avatar_url":"https://github.com/gicentre.png","language":"Elm","funding_links":[],"categories":["Libraries"],"sub_categories":[],"readme":"# Tidy\n\n_Tidying tabular data so you don't have to._\n\n[![elm version](https://img.shields.io/badge/Elm-v0.19-blue.svg?style=flat-square)](http://elm-lang.org)\n[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v1.4%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md)\n\n## Data Shaping and Tidying\n\nLeaning heavily on the principles of the [tidyverse](https://www.tidyverse.org), and especially [tidy data](https://tidyr.tidyverse.org/articles/tidy-data.html), this package makes it easy to reshape and tidy tabular data for easier data analysis and visualization.\n\nUse cases include:\n\n- Importing tabular data from a CSV file for analysis.\n- Joining and normalizing relational tables for data query.\n- Editing, filtering and mapping rows and columns of data in a table.\n- Creating _tidy_ data for visualization with [elm-vegalite](https://package.elm-lang.org/packages/gicentre/elm-vegalite/latest/), [elm-vega](https://package.elm-lang.org/packages/gicentre/elm-vega/latest/), [elm-visualization](https://package.elm-lang.org/packages/gampleman/elm-visualization/latest) and other visualization packages.\n- Building data science applications in Elm.\n\nTidy data are tables of data where\n\n- each _variable_ is a column.\n- each _observation_ is a row.\n- each _value_ is a cell.\n\nThe reality faced by many trying to work with datasets is that they are not in this format. The _tidy_ package allows you to transform data into tidy tables so you spend less time fighting with data tools and more time working on your analysis and visualization.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgicentre%2Ftidy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgicentre%2Ftidy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgicentre%2Ftidy/lists"}