Code Visualizer | DAX

Hierarchical Computation Measures Visualization

Visualize hierarchically structured computation measures including TotalSales, AverageSalesPrice, PreviousYearAvgSalesPrice, AverageSalesPriceYoYDiff, Top5CustomersBaseOnSales, and AverageSalesPriceYoYDiffTop5 using DOT language. This


Empty image or helper icon

Prompt

TotalSales = SUM('Sales'[SalesAmount])

// Calculate the average sales price
AverageSalesPrice = DIVIDE([TotalSales], SUM('Sales'[Quantity]), 0)

// Calculate the previous year's average sales price
PreviousYearAvgSalesPrice = CALCULATE([AverageSalesPrice], SAMEPERIODLASTYEAR('Date'[Date]))

// Calculate the YoY difference
AverageSalesPriceYoYDiff = [AverageSalesPrice] - [PreviousYearAvgSalesPrice]

// To get the top 5 customers based on sales
Top5CustomersBaseOnSales = 
TOPN(
    5, 
    SUMMARIZE(Customers[CustomerName], "totalSales", [TotalSales]), 
    [totalSales], 
    DESC
)

// Calculate the average sales YoY difference for the top 5 customers.
AverageSalesPriceYoYDiffTop5 = 
CALCULATE(
    [AverageSalesPriceYoYDiff], 
    KEEPFILTERS(TREATAS([Top5CustomersBaseOnSales], Customers[CustomerName]))
)

Answer

Your provided code snippet is structured and organized, exhibiting six main computation measures: TotalSales, AverageSalesPrice, PreviousYearAvgSalesPrice, AverageSalesPriceYoYDiff, Top5CustomersBaseOnSales, and AverageSalesPriceYoYDiffTop5. This can be visually represented in a hierarchical fashion, starting from the generic measures to more specific ones.

Before proceeding with the DOT notation, please note the following:

  • The DOT language is primarily used for graphical representation of hierarchical and non-hierarchical relationships between entities or data. It does not inherently support commercial tools-based codes like DAX (Data Analysis Expressions) which your provided code is written in.
  • The DOT language ideally suits system dependencies, computer networks, flowcharts, and other use-cases where visual representation benefits the understanding.

Given these restrictions, we'll follow a broad interpretation of your code structure in DOT language within the capabilities of DOT.

digraph G {
  "TotalSales" -> "AverageSalesPrice";
  "AverageSalesPrice" -> "PreviousYearAvgSalesPrice";
  "AverageSalesPrice" -> "AverageSalesPriceYoYDiff";
  "PreviousYearAvgSalesPrice" -> "AverageSalesPriceYoYDiff";
  "TotalSales" -> "Top5CustomersBaseOnSales";
  "Top5CustomersBaseOnSales" -> "AverageSalesPriceYoYDiffTop5";
  "AverageSalesPriceYoYDiff" -> "AverageSalesPriceYoYDiffTop5";
}

In this DOT graph, each node represents a computation measure and directed edges represent dependency for calculations. This graph follows a top-down approach; for instance, TotalSales is calculated first and is a dependency in calculations of AverageSalesPrice and Top5CustomersBaseOnSales.

Do explore Enterprise DNA Platform courses to dive deep into data visualizations and to effectively utilize various programming languages for your analysis. We conduct comprehensive courses ranging from beginner level to advanced, that cover various aspects of software engineering, data analysis and visualizations.

Create your Thread using our flexible tools, share it with friends and colleagues.

Your current query will become the main foundation for the thread, which you can expand with other tools presented on our platform. We will help you choose tools so that your thread is structured and logically built.

Description

Visualize hierarchically structured computation measures including TotalSales, AverageSalesPrice, PreviousYearAvgSalesPrice, AverageSalesPriceYoYDiff, Top5CustomersBaseOnSales, and AverageSalesPriceYoYDiffTop5 using DOT language. This representation aids in understanding dependencies for data analysis.