The new (v5.8) Vega heatmap and isocontour transform requires "raster grids (matrices)"
input data format as seen in these Vega example data files:

 https://github.com/vega/vega/blob/master/docs/data/volcano.json
 https://github.com/vega/vega/blob/master/docs/data/annual-precip.json

It would be helpful to add explanation of this data format in the documentation:

  https://v

This is really awesome, thanks! One minor feature request - is there a way to change the transition easing curve? You can change the durations, but the easing curve appears to be hard-coded to easeExpInOut which I find a bit "snappy". I think this is the relevant code:

function newCubeLayer(presenter, config, cubeData, highlightColor, lightSettings, lightingMix, interpolator) {
    cons

• Improve navigation so that axes appear right before the data
• Improve navigation so that titles for facets appear before the axis
• Remove the faceted variable from tooltips. For example in https://vega.github.io/vega-lite/examples/trellis_bar.html, we don't need to repeat "female" since it's the same value for the whole subview.

Go to overclocking tab
Under General tab -> Manual Frequency Control have a few states disabled (be sure to hit apply)
Now on the states table tab click apply
at this point the settings under Manual Frequency Control are no longer in effect

Interested in the possibilities of narrative schemas with litvis but found insuficient documentation to get started. Can you link to additional resources?

The Voyager docs current seem to suggest you can launch voyager from a pandas dataframe:

But I can't find any guidance on how. Are the docs incorrect, or is there a hidden feature?

Currently 'tests' consist of working examples that are verified by visual inspection.

A useful addition would be tests that confirm that the json spec produced by a spec-generating function is what is expected. This would also allow documentation examples to be tested through elm-verify-examples.

We might also consider validating against Ve

@domoritz please let me know if I should go forward with this :)

Currently the preview is not updated, when the data file referenced via url is changed and saved.

The file seems already to be known, because it can be opened in the preview. Would it be possible to listen to its save events and refresh the preview accordingly?

Many thanks for this extension!

documentation says that there is an autoResize option (link below)... however when using it, it doesn't seem to resize automatically. Adding autosize options along with it does not seem to work either. Is there something I am doing wrong?

<vega-lite :data="data" :mark="mark" :encoding="encoding" :autosize="{type:'pad', contains:'padding', resize:true}" autoResize/>

https://ne

the combobox dropdown can not show the list, because the notebook ouput is not big enough. it works once a value has been selected, and the chart draws.

• sequelize-typescript based
• lightweight schema - tensors saved as jsonb
• migration scripts
• store training data in table 1
• store predict input and output in table 2
• load training data on start to train the model
• load old predict to frontend graph