Sets the starting value for the y axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.

The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap.

The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot.

Determines how the items in `values` are summed. When set to *total*, items in `values` are taken to be value of all its descendants. When set to *remainder*, items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves.

Determines default for `values` when it is not provided, by inferring a 1 for each of the *leaves* and/or *branches*, otherwise 0.

If there is a layout grid, use the domain for this column in the grid for this icicle trace .

If there is a layout grid, use the domain for this row in the grid for this icicle trace .

Sets the horizontal domain of this icicle trace (in plot fraction).

Sets the vertical domain of this icicle trace (in plot fraction).