GitHub - vega/voyager: Recommendation-Powered Visualization Tool for Data Exploration

resource thumbnail

Remove from Bookmarks

Do you really want to remove?
This action cannot be undone. Choose 'Cancel' to stop and go back.
Cancel
Ratings: 0
  • Which text to add here??

Added by Martin on 2019-06-27 08:59

» Viewed 631 times
» Favorited by 0 user(s)
» 0 Comments
» This resource has public visibility

Holder of Rights:

License: unknown

Creator(s):

Description:
Voyager 2 is a data exploration tool that blends manual and automated chart specification. Voyager 2 combines PoleStar, a traditional chart specification tool inspired by Tableau and Polaris (research project that led to the birth of Tableau), with two partial chart specification interfaces: (1) wildcards let users specify multiple charts in parallel,(2) related views suggest visualizations relevant to the currently specified chart. With Voyager 2, we aim to help analysts engage in both breadth-oriented exploration and depth-oriented question answering.

Add to Collection

You don't have any collections yet. Click here to create your first collection!

Okay

Share to Group

You don't have any group you can share this resource with: the resource is already shared to all groups you are member in. Click here to see available groups!

Okay

Create QR Code

Please select the URI for the QR Code:




Create Cancel

Tags

use blanks to separate tags

Comments

GitHub - vega/voyager: Recommendation-Powered Visualization Tool for Data Exploration Voyager 2 is a data exploration tool that blends manual and automated chart specification. Voyager 2 combines PoleStar, a traditional chart specification tool inspired by Tableau and Polaris (research project that led to the birth of Tableau), with two partial chart specification interfaces: (1) wildcards let users specify multiple charts in parallel,(2) related views suggest visualizations relevant to the currently specified chart. With Voyager 2, we aim to help analysts engage in both breadth-oriented exploration and depth-oriented question answering.