Angry Analytics Blog Stories about Enterprise Deployments of the Microsoft Analytics Stack. The new Matrix visual in Power BI is impressive and with a few tricks you can make great interactive scorecards and heat maps. At first glance, you may assume this to be easy, but you will see in the below content you have to make some deliberate decisions with formatting and also create several measures to get the job done. I have the finalized PBIX file on my Git. Hub repository so use that for reference as we walk through building these visuals. I am using the Adventure. Works. DW dataset for this. I have imported the Fact. Reseller. Sales table and selected the related tables. The main tables used will be Fact. Reseller. Sales, Dim. Employee, Dim. Sales. Territory, Fact. Sales. Quota. I have created 5 base measures to be used for our scorecard. Note that I have manufactured the Customer Complaints value by using RAND. The required measures are below. Blank Hex Map MakerThe Roomba 900 Series offers a Clean Map Report, which maps your home as it vacuums, improving its movement and telling you how well it cleaned. But to get that map. How to See if You Are on ChexSystems List. If youve ever had financial troubles, theres a chance you could be on the ChexSystems list. Ms-6763 Motherboard Manual. ChexSystems actively holds. Conquered map 529 in 40 turns as Bluegaria. Tips Sign a pact with green,then make sure they cant expand any closer towards your capital,keep the border between you. HTML5. A vocabulary and associated APIs for HTML and XHTML. W3C Recommendation 28 October 2014. Blank Hex Map Downloads' title='Blank Hex Map Downloads' />Blank Hex MapsFact. Reseller. Sales table. Customer Complaint Indicator IFROUNDRANDBETWEEN0,1. Fact. Reseller. Sales table. Sum of Sales Amount sumFact. Reseller. SalesSales. Amount. Total Orders DISTINCTCOUNTFact. Reseller. SalesSales. Order. Number. Discount Percentage IFERRORsumFact. Reseller. SalesDiscount. Amount sumFact. Reseller. SalesSales. Amount,blank. Sum of Customer Complaints sumFact. Reseller. SalesCustomer Complaint Indicator. Quota Variance Sum of Sales Amount sumFact. Sales. QuotaSales. Amount. Quota sumFact. Sales. QuotaSales. Amount. Quotaadd this as a calculated column in Fact. Reseller. Sales table. Customer Complaint IndicatorIFROUNDRANDBETWEEN0,1. Fact. Reseller. Sales table. Sum of Sales AmountsumFact. Reseller. SalesSales. AmountTotal OrdersDISTINCTCOUNTFact. Reseller. SalesSales. Order. NumberDiscount PercentageIFERRORsumFact. Reseller. SalesDiscount. AmountsumFact. Reseller. SalesSales. Amount,blankSum of Customer ComplaintssumFact. Reseller. SalesCustomer Complaint IndicatorQuota VarianceSum of Sales Amount sumFact. Sales. QuotaSales. Amount. QuotasumFact. Sales. QuotaSales. Amount. QuotaAlso, one more change to make things more readable. In this data set in Dim. Employee do a rename on the Emergency. Contact. Name to Full Name. I noticed that this was the concatenated value of First Name and Last Name or you could create a calculated column if you wish. To create a scorecard as I have shown above, we need to use the Selected Measure trick where we will create a Measure table and use a DAX expression to populate the appropriate measure value depending on which value is selected in the table. You can use the Enter Data button in the ribbon to simply enter the 5 values and optionally an order as shown below. Now with the Metrics table and the measures you have added above, you can create the below measure to switch between them based on a slicer or filter that has been applied. Selected Measure IF. ISFILTEREDMetricsValue. FIRSTNONBLANKMetricsValue,11. Sales Amount,sumFact. Reseller. SalesSales. Amount. Total Orders,Total Orders. Discount Percentage,Discount Percentage. Customer Complaints,sumFact. Reseller. SalesCustomer Complaint Indicator. Quota Variance,Quota Variance. BLANKSelected MeasureIF    ISFILTEREDMetricsValue,    SWITCH        FIRSTNONBLANKMetricsValue,11,        Sales Amount,sumFact. Reseller. SalesSales. Amount,        Total Orders,Total Orders,        Discount Percentage,Discount Percentage,        Customer Complaints,sumFact. Reseller. SalesCustomer Complaint Indicator,        Quota Variance,Quota Variance,    BLANKThis snippet shows a SWITCH statement used against the FIRSTNONBLANK value only if the Metrics table ISFILTEREDYou can try this out by creating a simple bar chart visual using the Selected Measure as the value and the Dim. EmployeeFull Name that we created earlier as the X Axis. Also add the MetricsValue as a slicer. This simple trick allows us to get a row for each measure on our scorecard later. Lots of Measures. The next part is tedious. Each of our 5 measures above actually requires 5 additional measures to get the attributes found in the scorecard. This means 3. 0 total measures to show 5 rows in our scorecard. 4Am Our Lady Peace Download Yahoo. The opportunity here however is if you are not a DAX expert, this may be a good primer for you to understand how DAX really makes almost anything possible in Power. BI. I will show the formulas for Sales Amount and a few nuances for other metrics after that. For all the details, refer to my Git. Hub repository with the PBIX file. For our scorecard, we want to be able to show a percentile and a quartile value. This makes it easy at a glance to see how an individual or sales region is doing in respect to their peers. To get either of these values, we must first calculate the RANK of the sales person. We will use RANKX to calculate the RANK of the sales person for Sum of Sales Amount. Sales Amount Rank. ALLDim. Employee. Sum of Sales AmountSales Amount Rank    RANKX        ALLDim. Employee,        Sum of Sales AmountNote the use of the ALL function over Dim. Employees. Because FILTER Context is applied in a table or matrix visual, when a row is shown for employee Amy Alberts, because of relationships in the data model, the only rows from the Fact. Reseller. Sales table that are being evaluated for a measure are the ones for Amy Alberts employee. Key. We need to use ALL to ensure that filter context is cleared when evaluating the RANKX expression. See the below table as an illustration. There is one more problem with our DAX however Dim. Employee has over 2. Sales. The above DAX will calculate a rank for ALL employees instead of JUST the sales employees. One method to reduce this is to simply set this column to BLANK if the Sum of Sales Amount measure is blank. The final DAX used is below. I used a variable for readability but not necessary. Sales Amount Rank. RANKX. ALLDim. Employee. Sum of Sales Amount. RETURN IFISBLANKSum of Sales Amount,BLANK,rnkSales Amount RankvarrnkRANKX        ALLDim. Employee,        Sum of Sales AmountRETURNIFISBLANKSum of Sales Amount,BLANK,rnkNOTE simply using sumFact. Reseller. SalesSales. Amount will not work here, this is why we created a measure for it. With a Rank value, now we can calculate the percentile the sales person is in. This is effectively normalizing the ranks. Sales Amount Percentile. FILTERALLDim. Employee,Dim. EmployeeDepartment. NameSales. var b Sales Amount Rank. IFb0,BLANK,IFERRORROUNDa ba,2,blankSales Amount Percentilevaracountrows            FILTERALLDim. Employee,Dim. EmployeeDepartment. NameSalesvarbSales Amount Rankreturn. IFb0,BLANK,IFERRORROUNDa ba,2,blankTo determine the denominator, we are using a FILTER to only retrieve the employees that are in the Sales department. Now with the percentile, we can determine the quartile the sales person is in. Sales Amount Quartile. IFISBLANKSales Amount Percentile,BLANK. IFSales Amount Percentile. IFFact. Reseller. SalesSales Amount Percentile. IFSales Amount Percentile. 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