https://github.com/robindemourat/finetune

🏭 Work in Progress - a tiny webtool aiming at connecting google spreadsheets and static data files to svg datavis generators - for a smoother workflow between data experts and designers
https://github.com/robindemourat/finetune

Last synced: about 1 month ago
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🏭 Work in Progress - a tiny webtool aiming at connecting google spreadsheets and static data files to svg datavis generators - for a smoother workflow between data experts and designers

• Host: GitHub
• URL: https://github.com/robindemourat/finetune
• Owner: robindemourat
• Created: 2015-08-19T14:30:41.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-11-04T17:08:31.000Z (about 7 years ago)
• Last Synced: 2024-03-20T03:00:58.631Z (9 months ago)
• Language: JavaScript
• Homepage:
• Size: 40 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
[Beta] JSON-based svg static data visualizations generator

=============

This is a tiny webtool aiming at connecting google spreadsheets and static data files to svg datavis generators.

It has been built for allowing a smoother workflow between data experts and designers, without loosing fine tuning possibilities hidden by generic datavis tools. 

Workflow of the tool : 

* The data expert works with her data in a google spreadsheet instance

* Data expert and designer set together the list of datasets and visualizations they want. Designer writes them in a codified form in a 'directory.json' file (in `app/data`). Visualizations are basically defined in terms of layout and parameters mapping.

* The designer refines the visualizations filters and options visually within app GUI

* When satisfied, visualizations can be downloaded as svg for further infographics work.

Courtesy of : see bower.json

Inspired notably by RAW from DensityDesign : http://raw.densitydesign.org/

Example of a `directory.json` file:

```json

{

	"dataSources" : [

				{

					"name" : "Base locale",

					"type" : "csv",

					"url" : "/data/base.csv"

				}

			],

	"visualisations" : [

			{

				"name" : "Test visualisation - date de diffusion vs thématique de l'adaptation",

				"vis_type" : "linechart",

				"data_source" : "Base locale",

				"data_type" : "time",

				"timedata" : "date",

				"timeformat" : "%m/%d/%Y",

				"objects" : "type",

				"file_name" : "testvisualisation",

				"timespan" : "year"

			},

			{

				"name" : "Test visualisation - date de diffusion vs chaîne de l'adaptation",

				"vis_type" : "linechart",

				"data_source" : "Base locale",

				"data_type" : "time",

				"timedata" : "date",

				"timeformat" : "%m/%d/%Y",

				"objects" : "chaîne",

				"file_name" : "testvisualisations",

				"timespan" : "year",

				"showObjects" : ["TF1", "FR3"]

			}

	]

}

```