Calculating Athlete max Velocity percentages

[SportStudent]

Hi All,

I was wondering if anyone could help me?

In Table 1 is where I add gps data from the athlete during there session each day (Date, Duration, distance, Max speed achieved)

In table 2 I have there Highest achieved scores for the same metrics. 

I have two tables connected via athlete name.

I want to put a new column in table 1 which is the percentage of Max speed achieved during that session compared to their maximum value recorded in table 2 for each athlete.

Could someone please help me with this as I am quite new to powerbi and not sure about it?

Many thanks,

SportStudent

[v-lionel-msft · Accepted solution]

Hello @SportStudent ,

Like this?

I have two tables.

1. Despivot columns in 'Sheet8'.

2. Create a relationship between [Name].

3. Create a measure.

__Max = 
MAXX(
    FILTER( ALL(Sheet8), Sheet8[Name] = MAX(Sheet8[Name]) ),
    [Value]
) 

4. Create a calculated column in 'Sheet7'.

Column = 
[Max Speed]/[__Max]

If not, show us the sample data and the expected output value.

Best regards
Lionel Chen

If this post helps,then consider Accepting it as the solution to help other members find it faster.

[SportStudent]

Hi Lionel Chen,

That has worked beautifully!

Thank you ever so much for your help on the matter!

Kindest,

SportStudent

[TomMartens]

Hey @SportStudent 

Regarding your question, I have to admit that I have my problems understanding your requirement.

Please consider to create a pbix file that contains sample data, but still reflects the data model (https://docs.microsoft.com/en-us/learn/modules/design-model-power-bi/).
You can use this to enter data directly in Power BI Desktop: https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-enter-data-directly-into-desktop. Upload the pbix file to onedrive or dropbox and share the link. If you are using Excel to create the sample data, share the xlsx as well.
Create columns that contain the expected results, use the sample data to explain how the result is derived from the sample data.

Regards,

Tom