Rescaling the counts for a DensityHistogram

I have the following problem: I need to rescale the counts given to DensityHistogram, meaning that I want to multiply the total counts per bin by a certain number (4/3).

Consider the following example:

datatest =
{{0.15853231238493146, 0.15958921935208797},
{0.16003302074891018, 0.1666286356975967},
{0.15809478105039676, 0.1682255807995838},
{0.15548049076146467, 0.16773090763023435},
{0.15373202818516943, 0.16951942019717853},
{0.15183606682822046, 0.17098377258873423},
{0.14965773201820615, 0.17326285096337588},
{0.14869661374136575, 0.17472879297110966},
{0.17699943466842, 0.14614660535485596}}

DensityHistogram[datatest, {0.01}, ChartLegends -> Automatic]


Because the total counts per bin for all bins would be multiplied with 4/3 and rounded afterwards, the bin in the upper left of this example would become 2.6666 and rounded to 3).

Does anyone have a solution for this? Manually changing the legend is not an option for me, since the legend would the look awkward.

My approach would be to manipulate the HistogramList:

rescalingfactor = 4/3;
histogramlist1 = HistogramList[datatest, {0.01}];
histogramlist1rescaled =
Join[histogramlist1[[1]], Round[histogramlist1[[2]]*rescalingfactor]]

{{0.14, 0.15, 0.16, 0.17, 0.18}, {0.14, 0.15, 0.16, 0.17, 0.18},
{0, 0, 0, 3}, {0, 1, 4, 1}, {0, 0, 1, 0}, {1, 0, 0, 0}}


But how can I apply DensityHistogram to the results returned from HistogramList?

You can use the third argument (height spec) of DensityHistogram
DensityHistogram[datatest, {0.01}, Round[#3*rescalingfactor] &,

Note: how can I apply DensityHistogram to the results returned from HistogramList?
You can use Round[histogramlist1[[2]]*rescalingfactor] & instead of Round[#3*rescalingfactor] & to get the same result.