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fix: issue#30, semanticType runtime error #31

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Jun 17, 2020
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@ObservedObserver ObservedObserver commented Jun 17, 2020

Issues: #30 .

It seems targetVis fails to handle the case when the field does not exist, which is possible because the recommended visual specification could provide encodings without color channel.

The same case had been considered in featureVis, but forgotten in targetVis.

However, normally, data views targetVis get should have at least one dimension(feature). And the auto specification has a high possibility of encoding the feature into color(perception error). (it passes tests with different dataset when developing(kaggle/titanic, kaggle/kelper, etc))

I'm curious about what channel is used for the dimension if it is not color and why(depends on the dataset).
or the dataset might contain no dimension.

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