Inference on rows

Is there a way to force SandDance to perform inference on all rows instead of just a sample, without reinventing the wheel here?

There's getColumnsFromData, but this samples just the first row. Our rows don't all have the same data and the first row is pretty light.

/**
 * Derive column metadata from the data array.
 * @param data Array of data objects.
 */
export function getColumnsFromData(data, columnTypes) {
    const sample = data[0];
    const fields = sample ? Object.keys(sample) : [];
    const inferences = Object.assign(Object.assign({}, VegaDeckGl.base.vega.inferTypes(data, fields)), columnTypes);
    const columns = fields.map(name => {
        const column = {
            name,
            type: inferences[name]
        };
        return column;
    });
    inferAll(columns, data);
    return columns;
}

I could just run getColumnsFromData on every row, I guess, and then pass them into like #158?

Just curious if there's a more elegant way of going about it.

Start at getColumnsFromData and inspect VegaDeckGl.base.vega.inferTypes, inferAll, and the approach discussed in issue #158. Determine how inference should account for fields across all rows rather than only the first sample, and clarify the expected behavior before implementing and testing it.