https://github.com/gicentre/tidy

Utilities for creating 'tidy' data tables
https://github.com/gicentre/tidy

Last synced: 6 days ago
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Utilities for creating 'tidy' data tables

• Host: GitHub
• URL: https://github.com/gicentre/tidy
• Owner: gicentre
• License: bsd-3-clause
• Created: 2018-11-26T07:59:37.000Z (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2021-04-21T10:38:48.000Z (over 3 years ago)
• Last Synced: 2024-08-02T18:39:18.068Z (3 months ago)
• Language: Elm
• Size: 272 KB
• Stars: 7
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• awesome-dataframes - tidy - Leaning heavily on the principles of the tidyverse, and especially tidy data, this package makes it easy to reshape and tidy tabular data for easier data analysis and visualization. (Libraries)

README

        
# Tidy

_Tidying tabular data so you don't have to._

[![elm version](https://img.shields.io/badge/Elm-v0.19-blue.svg?style=flat-square)](http://elm-lang.org)

[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v1.4%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md)

## Data Shaping and Tidying

Leaning 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.

Use cases include:

- Importing tabular data from a CSV file for analysis.

- Joining and normalizing relational tables for data query.

- Editing, filtering and mapping rows and columns of data in a table.

- 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.

- Building data science applications in Elm.

Tidy data are tables of data where

- each _variable_ is a column.

- each _observation_ is a row.

- each _value_ is a cell.

The 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.