I would like to know how the "average burndown" and "average burnup" are completed. Also, what is the formula for these metrics? I added the standard burnup and burndown charts in my dashboard.
Related
So I was making a dashboard for a personal project and I put some stats on a spreadsheet and made a column that calculated FG% based on (Field Goals Made/Field Goals Attempted) for each player. Now I threw this into Power BI and I want to calculate the team FG% average but Power BI takes the percentages as they are and averages them by taking all the percentages, adding them, and dividing by # of values. Of course, this is the normal way to find the average for General numbers but not percentages. How do I fix this and get the actual average FG%?
I apologize, I'm very new to this. Stats,PowerBI Avg. Calculation
For reference, this is the chart I'm trying to make inPowerBI chart
Hello I have a question regarding some data that I have extracted into Excel. In particular the Market Depth of a Aluminium. I am trying to calculate what the average entry/exit cost would be for a set number of contracts.
I would be very appreciative of any help one could provide.
Example:
I have set the amount to 20. How could i calculate the weighted average entry price? (Assuming we lift the offer ("Buy") and Hit the Bid ("Sell")
I have pasted the format of my data below. I have been using this to limit thew Vol ("Volume") to be the amount i entered where "R4=20 ATM".
=MIN(SUM($G$3:$G$12),$R$4)
I have a column of data with percentages that's used in a calculation for revenue. However I want to include a slider (doesnt have to be a slider though, the visual isn't the concern here) in my dashboard for another column that adjusts all of the percentages by say 5%. So it would look something like this:
Slider: +5%
Original %
Revenue
Adjusted %
Adjusted Revenue
50%
100,000
55%
new revenue
45%
60,000
50%
new revenue
Any idea how to do this when the original percentage is being used in a long string of transformations and calculations to get the revenue? I'm just not sure how to get it to replicate all of that.
I would like to know how to make a histogram with multiple measures. My data is a Monte Carlo simulation that shows for 6 default rates and 5000 simulations what gross profit turns out to be. Just to reiterate, for each default rate in my excel sheet there are 5000 rows. Each bar in the histogram shows for example: 10% of the time gross profit falls between 70M and 80M. The below picture shows the histogram working for 5% default rate, I would also like to add every other rate then color code them.
Here is the input:
I think you need to restructure your data before proceeding further- (demonstration on some sample data)
select all rate columns in Data tab and click pivot
Rename the new columns as per taste (say Rate for names and values for another
Add/create bins on value column and add rate to color, you may get desired view-
either
OR
I am building some SQL dashboards in Azure using the standard metrics. Specifically, I'm charting DTU Usage against DTU Limits. I'm plotting max values for each one.
With the "Line Chart" style, I get this:
Line Chart
Which suggests that I'm using, at most, about half mt DTU limit.
However, if I switch the style to "Bar Chart" I get this: Bar Chart
Which suggests that I'm going over my DTU limit almost every day.
So now, I'm wondering which interpretation is correct? My gut tells me that the line chart is right and I'm just seeing a "stacking bar chart" that is summing both values rather than the more traditional bar chart that I'm accustomed to. I can't find any resources in the Azure documentation that speak to this. Any thoughts?
Thanks!
When you get the "Bar chart", as you said, the value of Y-axis range is the sum of the two metrics or a little higher, these metrics share one Y-axis .
It looks like that you're going over your DTU limit almost every day, because Azure mix the two metrics value in one bar.
For example in "Bar chart", when we want to see the DTU limit max, we should move the mouse to the "DTU limit(max)" in the lower left corner:
"DTU used(max)":
Hope this helps.
Over the last few years I have seen many complaints about the DTU graph as this one. The graph is sometimes inconsistent as shown here.
Please run the following query to verify resource consumption over the last 7 days. You may find the result of the query more accurate than the DTU graph.
SELECT *
FROM sys.dm_db_resource_stats
WHERE database_name = 'AdventureWorksLT' AND
start_time > DATEADD(day, -7, GETDATE())
ORDER BY start_time DESC;