![Screen Shot 2023-07-12 at 2 19 32 AM](https://private-user-images.githubusercontent.com/73197190/252873217-eedeb857-46ea-4166-ad9c-0add7993b93c.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.ckfNEYYFQ8gpK9SCLnV74ZV0TIXCzJyRgdaWXF6Nrh8)
Bloodhound is an adaptable carbon emissions reporting dashboard.
SCI reporting dashboard.
Only the repos have been created everything else still needs to be done.
https://github.com/rollthecloudinc/carbonfree/wiki/Automating-Carbonfreed-Website-Setup
New Sites:
XY Chart
Carbon reporting header
Chart using circular heat map
https://www.amcharts.com/docs/v5/concepts/legend/heat-legend/#Gradient_or_steps
Ideas:
Weather accomodations?
optional: squares as heat map to indicate:
It might be worth while to create a SOLID for Ag Grid.
https://blog.ag-grid.com/dynamically-setting-ag-grid-columns-from-json/
Ngx Data Table might be the better/slimmer route..
Chart JSON
{
"type": "XYChart",
"refs": {
"data": [],
"xAxis": {
"type": "DateAxis",
"settings": {
"baseInterval": {
"timeUnit": "day",
"count": 1
},
"renderer": {
"type": "AxisRendererX"
}
}
},
"yAxis": {
"type": "ValueAxis",
"settings": {
"renderer": {
"type": "AxisRendererY"
}
}
}
},
"settings": {
"panX": false,
"panY": false,
"wheelX": "panX",
"wheelY": "zoomX",
"scrollbarX": {
"type": "Scrollbar",
"settings": {
"orientation": "horizontal"
}
}
},
"properties": {
"xAxes": [
"#xAxis"
],
"yAxes": [
"#yAxis"
],
"series": [
{
"type": "LineSeries",
"settings": {
"name": "Series",
"xAxis": "#xAxis",
"yAxis": "#yAxis",
"valueYField": "value",
"valueXField": "date",
"tooltip": {
"type": "Tooltip",
"settings": {
"labelText": "{valueX}: {valueY}"
}
}
},
"properties": {
"data": "#data"
}
}
]
}
}
Static data source
[
{ "date": 1652425200000, "value": 92 },
{ "date": 1652511600000, "value": 95 },
{ "date": 1652598000000, "value": 100 },
{ "date": 1652684400000, "value": 100 },
{ "date": 1652770800000, "value": 96 },
{ "date": 1652857200000, "value": 97 },
{ "date": 1652943600000, "value": 94 },
{ "date": 1653030000000, "value": 89 },
{ "date": 1653116400000, "value": 89 },
{ "date": 1653202800000, "value": 87 },
{ "date": 1653289200000, "value": 84 },
{ "date": 1653375600000, "value": 81 },
{ "date": 1653462000000, "value": 85 },
{ "date": 1653548400000, "value": 89 },
{ "date": 1653634800000, "value": 86 },
{ "date": 1653721200000, "value": 90 },
{ "date": 1653807600000, "value": 93 },
{ "date": 1653894000000, "value": 94 },
{ "date": 1653980400000, "value": 94 },
{ "date": 1654066800000, "value": 96 }
]
Columns:
We could also do it by contract
There is a table demo somewhere.
Bar chart
x = location
y = emissions
saved carbon is also an interesting metric. How much carbon has been saved by bouncing to a region instead of using another.
Map with heat
high:
low:
select
total request handled
carbon saved?
Map with heat
high:
low:
blocker: amcharts/amcharts5#1020
series for each region
x axis [category]: min intensity, max intensity, avg intensity, request count, carbon saved
y axis [value]
intensity ranges from 0 โ 1000 average around 400 โ 600
divide request count by number that makes sense given intensity range
carbon saved may also need to be altered to better align
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