Hello!

I’d like to understand why I’m getting `EXECUTION_ERROR`

in all the intervals requested for a histogram through the Statistics API.

This is my request:

```
{
input: {
bounds: {
geometry: {
type: 'Polygon',
coordinates: [
[
[-58.5940496908065, -31.6685918843253],
[-58.5933196244911, -31.6685918843253],
[-58.5932561404637, -31.6689160709253],
[-58.5929704623402, -31.6692402563939],
[-58.5930022043539, -31.6695374254127],
[-58.5926847842168, -31.6709151966222],
[-58.5928434942853, -31.6711853454431],
[-58.5927165262305, -31.6715635524723],
[-58.5925260741482, -31.6728602505936],
[-58.5926847842168, -31.6732654650436],
[-58.5925260741482, -31.6735356070279],
[-58.5926213001893, -31.6751564424316],
[-58.5923991060933, -31.6755616468621],
[-58.5946527890671, -31.6752915107715],
[-58.5940496908065, -31.6685918843253],
],
],
},
},
data: [{ dataFilter: {}, type: 'sentinel-2-l2a' }],
},
aggregation: {
timeRange: { from: '2020-11-04T00:00:00Z', to: '2020-11-30T23:59:59Z' },
aggregationInterval: { of: 'P1D' },
width: 512,
height: 1860.437,
evalscript:
" //VERSION=3\n function isCloudy(sample) {\n /**\n * SCL band values:\n * 1 => saturated/defective\n * 3 => cloud shadow\n * 8 => cloud medium probability\n * 9 => cloud high probability\n * 10 => cirrus\n */\n const scl = sample.SCL\n return scl === 1 || scl === 3 || scl === 8 || scl === 9\n }\n\n function setup() {\n return {\n input: [\n {\n bands: ['B03', 'B08', 'SCL', 'dataMask'],\n },\n ],\n output: [\n {\n id: 'chlorophyll',\n bands: 1,\n },\n {\n id: 'dataMask',\n bands: 1,\n },\n ],\n }\n }\n\n function evaluatePixel(sample) {\n const index = sample.B08 / sample.B03 - 1\n let dataMask = sample.dataMask\n if (isCloudy(sample)) dataMask = 0\n return { chlorophyll: [index], dataMask: [dataMask] }\n }",
},
calculations: {
default: { histograms: { default: { binWidth: 0.5, lowEdge: 0, highEdge: 15 } } },
},
}
```

If I ask for a histogram using `nBins`

as the number of bins, it works, but when trying to build it with bin width and low and high edges, it shows that error for all the intervals.

Am I missing any concept about this?

I need to have the same bins for all the histograms for all the dates. This way I can dump all into a CSV for later analytics having the same bin ranges for all.

So the ideal would be to have `30`

bins, low edge of `0`

, high edge of `15`

and a width of `0.5`

resulting in 30 bins starting like `0-0.5`

, `0.5-1`

, `1-1.5`

and so on…

Can something like this be achieved? Why is what I have failing?

Thanks!!