SandDance, the open provide data visualization instrument from Microsoft Evaluation, is launching quite a lot of new choices in mannequin 3.
Features on all chart kinds
We’ve added far more administration to faceted data. All chart kinds now have the Facet By column attribute. When a Facet By column includes quantitative data, you’ll specify the number of bins. Features could also be organized in a wrapped construction or in an x-y construction using two columns with the model new cross-facet attribute:
The Density, Column, and Bar charts now have a Entire By column that allows you to choose between each a rely or a sum operation. A rely will dimension every data issue the an identical. A sum will fluctuate each issue’s dimension by means of the Dimension By column. Sums could also be laid out as Treemaps or in our new Strip construction as each a rely or a proportion:
There’s now an non-obligatory Dimension By column mapping.
In a 3D construction, data elements can each “float” in z home or be “grounded” and use Z for his or her high:
The lighting provide is now emanating from the digicam, so there is not a “dark side” affect as throughout the earlier mannequin.
Historic previous stack
Now you’ll be able to undo/redo modifications you’ve made alongside your data exploration journey. Use control-z to undo and control-shift-z to redo. Or, you may soar to any degree throughout the guidelines on the Historic previous tab.
A snapshot can have a phrase associated to it. You’ll annotate each step of your data story and net web page by way of with the snapshot arrow buttons throughout the excessive bar.
Inside the web app, Snapshots could also be imported and exported as a .json file, or reworked to an HTML or markdown net web page.
As an open provide mission, we’re proud to have contributions from members of our neighborhood. We’d favor to thank these two builders with these good new integrations:
SandDance was created by Microsoft Evaluation’s Visualization and Interactive Information Analysis (VIDA) group, which focuses on a human-centric technique to working with data, exploring areas equivalent to data visualization, immersive analytics, and understanding of machine learning fashions. You’ll examine further about their work here.
Be taught further regarding the new SandDance mission on GitHub or our companion website. Proper right here, you’ll try SandDance on any native dataset (nothing will get uploaded to the server), along with uncover instructions for establishing native variations or incorporating it into your particular person initiatives.