Programmatically accessing values R2 and datapoints in Google chart trendlines - google-visualization

I am currently working with Google charts trendline and want to access Values of R2 and datapoints through code.
Datapoints as in the datapoints used for creating trendlines.
is it possible?

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How to get the counts of logs per day in a week through the logging or monitoring API?

My logs are stored in Google cloud logging. I need to record the exact number of daily logs under specified conditions, generate a line graph, and apply to my website.
This are the line chart and stacked bar chart I tried to generate in metrics explorer, but I can't understand them.
line chart
stacked bar chart
Below is my log records:
log records
As you can see, the number of logs on the 15th was 7,but it seems that there is no way to show it in the chart,is my setting wrong?
Thanks

AWS Cloudwatch dashboard custom time range

I want each of my graphs on the cloudwatch dashboard to show graphs for different time ranges e.g RAM to show 2 weeks, DISK 4 weeks, etc. Everytime i refresh they revert to auto 3 hours. How can I ensure each graph shows different time range
I don't think this is possible within the same dashboard and you would need to create multiple dashboards to accommodate your requirement.
In CloudFormation, the timeframe is set in the DashboardBody property using start, which affects the whole dashboard and not the individual widgets.
https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/CloudWatch-Dashboard-Body-Structure.html

Is it possible to visualize a Sprint burndown chart (or Burnup chart) from outside of Azure DevOps?

I'm trying to generate a consolidated view in some tool like Power BI so the top management of my organization can visualize in a single page the actual health of the projects and teams (in order to avoid the need of entering each project space in Azure DevOps).
I have already consumed successfully the Azure DevOps data from Power BI and I did some consolidated charts like open work items, work items by status, open bugs and so on; but I have no idea of what is the best aproach to show burnup and burndown charts.
Is there a way of embed this kind of charts outside Azure DevOps?
PS: In Microsoft documentation here there is an example to generate a Sprint burndown chart manually (from Power BI) but from my point of view it isn't so complete like native Sprint burndown chart here
Thanks!!

Maximum DataPoint limit for Geographical Map visualization in AWS QuickSight

I am new to QuickSight and trying to do a PoC with QuickSight.
While trying to develop a geographical map visualization, I noticed that it limits to 5000 top data points in the visualizations.
From below link I understand this display limit of QuickSight.
https://docs.aws.amazon.com/quicksight/latest/user/working-with-visual-types.html#customizing-number-of-data-points?icmpid=docs-quicksight-whatsnew
Is 5000 is the maximum data-points for a geographical map? (I couldn't find the maximum limit for map in documentations)
Is there a way to increase this limit as we have pretty bigger dataset and may not filter out data down till 5000 datasets.
Please advise.
I checked and confirm that there is no statement about the limit of the geo map in the official documentation. Judging on my works with QuickSight until now, the limit is highly possible at 5000, which is the limits of line chart, bar chart, combo chart and some others.
In our use case with not-geo-map chart, we aggregate the data higher to reduce the number of data points, for example from daily data to weekly data. This is not a solution I enjoy with, but have to compromise.

Power BI Adobe Analytics connector is limiting dimensions

I am using the Adobe Analytics connector for one of my reports. One of my 'Dimensions' is called 'Websites' and the data is a URL (www.myurl.com), we look at over 100 websites and I am looking at the traffic for each one. When I use the Websites dimension it only displays 10 of the sites out of the total number. Is there a way I can add a line of code in the advanced query editor to remove this limit? Or is this a limitation with the Power BI connector?
Using the 'Top parameter'(returns up to 50,000 dimensions per call) fixes my problem and breaks down my URL column by the correct number of dimensions as opposed to 10.
{Cube.ApplyParameter, "Top", {10000, "evar123"}},