# MAXX in Power BI – A Detailed Guide

Table of Contents

# Understanding the MAXX Function in DAX

## Setup Instructions

Ensure you have access to Power BI or a similar environment that supports DAX.
Import your data into Power BI or relevant platform, which we will reference in the examples.

## Practical Implementation

### Example Dataset

Assume we have a dataset named `Sales`:

Columns: `ProductID`, `SalesAmount`, `Month`, `Year`

### Step 1: Calculate the Maximum Sales Amount for Each Product

Create a new measure to find the maximum sales amount for each product:

``````MaxSalesAmountPerProduct =
MAXX(
Sales,
Sales[SalesAmount]
)
``````

### Step 2: Calculate the Maximum Sales Amount Over All Products

Create a measure to find the maximum sales amount across all products:

``````MaxSalesAmountOverall =
MAXX(
ALL(Sales),
Sales[SalesAmount]
)
``````

### Step 3: Calculate the Maximum Sales Amount for Each Year

Create a new measure to find the maximum sales amount per year:

``````MaxSalesAmountPerYear =
CALCULATE(
MAXX(
Sales,
Sales[SalesAmount]
),
VALUES(Sales[Year])
)
``````

### Step 4: Combine MAXX with Other Functions

Combine `MAXX` with another DAX function to find the maximum sales amount across different years but with additional conditions.

#### Example: Maximum Sales in a Specific Year

``````MaxSalesIn2020 =
CALCULATE(
MAXX(
FILTER(
Sales,
Sales[Year] = 2020
),
Sales[SalesAmount]
)
)
``````

### Step 5: Visualize the Results

Create visualizations in Power BI using the measures to display the maximum sales amounts.

Table Visualization:
Add `ProductID` and `MaxSalesAmountPerProduct`.
Card Visualization:
Add `MaxSalesAmountOverall` to a card.
Line Chart:
Axis: `Year`
Values: `MaxSalesAmountPerYear`

## Conclusion

Utilize the measures in your visuals to gain insights on maximum sales across different dimensions. The `MAXX` function is versatile and helps derive maximum values within specified contexts. Continue exploring combinations with other DAX functions for more complex analyses.

# Practical Implementation of MAXX

## Example 1: MAXX with a Simple Table

``````EVALUATE
ADDCOLUMNS (
Sales,
"Max Sales Amount", MAXX ( Sales, Sales[SalesAmount] )
)
``````

## Example 2: MAXX with FILTER

``````EVALUATE
CALCULATETABLE (
ADDCOLUMNS (
Sales,
"Max Sales Amount by Product", MAXX ( FILTER ( Sales, Sales[ProductID] = 123 ), Sales[SalesAmount] )
),
Sales[ProductID] = 123
)
``````

## Example 3: MAXX with GROUPBY

``````EVALUATE
GROUPBY (
Sales,
Sales[ProductID],
"Max Sales By Product", MAXX ( CURRENTGROUP (), Sales[SalesAmount] )
)
``````

## Example 4: Using MAXX with SUMMARIZE

``````EVALUATE
ADD COLUMNS (
SUMMARIZE (
Sales,
Sales[ProductID],
Sales[Date],
"Max Sales By Product and Date", MAXX ( SUMMARIZE ( Sales, Sales[SalesAmount] ), Sales[SalesAmount] )
)
)
``````

## Example 5: MAXX within a Measure

``````Measure_MaxSalesAmount =
MAXX (
Sales,
Sales[SalesAmount]
)

EVALUATE
SUMMARIZE (
Sales,
Sales[ProductID],
"Max Sales Amount", [Measure_MaxSalesAmount]
)
``````

## Example 6: MAXX with a Date Range

``````EVALUATE
CALCULATETABLE (
ADDCOLUMNS (
Sales,
"Max Sales Amount Date Range", MAXX ( FILTER ( Sales, Sales[Date] >= DATE(2022, 1, 1) && Sales[Date] <= DATE(2022, 12, 31) ), Sales[SalesAmount] )
)
)
``````

These practical examples demonstrate various ways to leverage the `MAXX` function in DAX for real-life data analysis tasks.

### Advanced Examples of MAXX in DAX

#### Example 1: Using MAXX with FILTER for Date Calculations

``````-- Calculate the maximum sales amount for transactions made in the year 2022

MAX_SALES_2022 =
MAXX(
FILTER(
Sales,
Sales[TransactionDate] >= DATE(2022, 1, 1) && Sales[TransactionDate] <= DATE(2022, 12, 31)
),
Sales[SalesAmount]
)
``````

#### Example 2: Combining MAXX and RELATED for Customer Analysis

``````-- Find the maximum order quantity for each product considering only active customers

MAX_ORDER_ACTIVE_CUSTOMERS =
MAXX(
FILTER(
Sales,
RELATED(Customer[Status]) = "Active"
),
Sales[OrderQuantity]
)
``````

#### Example 3: Using MAXX with AVERAGEX to Identify Outliers

``````-- Calculate the maximum sales amount deviation from average sales amount per product

MAX_SALES_DEVIATION =
MAXX(
Product,
ABS(
CALCULATE(SUM(Sales[SalesAmount]), Sales[ProductID] = Product[ProductID]) -
AVERAGEX(
Sales,
Sales[SalesAmount]
)
)
)
``````

#### Example 4: Combining MAXX and SUMX for Profit Calculation

``````-- Calculate the maximum profit considering sales amount with associated costs for different regions

MAX_PROFIT_BY_REGION =
MAXX(
SUMMARIZE(
Sales,
Sales[Region],
"TotalProfit", SUMX(Sales, Sales[SalesAmount] - Sales[Cost])
),
[TotalProfit]
)
``````

#### Example 5: Using MAXX Within Dynamic On-the-Fly Calculations

``````-- Calculate the maximum number of units sold for on-the-fly created categories (e.g., tiered pricing)

MAX_UNITS_BY_TIER =
MAXX(
ADDCOLUMNS(
Product,
"PriceTier", IF(Product[Price] < 50, "Low", IF(Product[Price] < 100, "Medium", "High"))
),
CALCULATE(SUM(Sales[UnitsSold]))
)
``````

### Conclusion

These examples demonstrate practical advanced usage of the MAXX function combined with various other DAX functions to achieve complex data analysis objectives. Apply these in real-world scenarios to drive insightful and actionable data outcomes.

# Part 4: Combining MAXX with Other Essential DAX Functions

## Combining MAXX with CALCULATE

``````MaxSalesByCategory =
CALCULATE(
MAXX(
Sales,
Sales[SalesAmount]
),
ALLEXCEPT(Sales, Sales[Category])
)
``````

## Using MAXX with FILTER

``````TopHighValueOrders =
MAXX(
FILTER(
Sales,
Sales[OrderValue] > 1000
),
Sales[OrderValue]
)
``````

## Combining MAXX with SUMX

``````MaxTotalProfit =
MAXX(
VALUES(Sales[Region]),
SUMX(
RELATEDTABLE(Sales),
Sales[Quantity] * Sales[Profit]
)
)
``````

## Using MAXX with EARLIER

``````MaxSalePerCustomer =
MAXX(
FILTER(
Sales,
Sales[CustomerID] = EARLIER(Sales[CustomerID])
),
Sales[SalesAmount]
)
``````

## Combining MAXX with AVERAGEX

``````MaxAvgSalesPerProduct =
MAXX(
VALUES(Sales[Product]),
AVERAGEX(
RELATEDTABLE(Sales),
Sales[SalesAmount]
)
)
``````

Ensure you integrate these DAX formulas seamlessly within your existing data model and Power BI reports.

# Part 5: Integrating MAXX Formulas into Data Models

## Practical Implementation

### Scenario 1: Find the Order with the Maximum Total Sales

Data Model:

• Table `Orders` containing columns: `OrderID`, `CustomerID`, `OrderDate`, `TotalSales`

DAX Implementation:

``````MaxOrderSales = MAXX (
Orders,
Orders[TotalSales]
)
``````

### Scenario 2: Identify the Product with Maximum Revenue in Each Category

Data Model:

• Table `Products` containing columns: `ProductID`, `CategoryID`, `Revenue`

DAX Implementation:

``````MaxProductRevenuePerCategory =
SUMMARIZE (
Products,
Products[CategoryID],
"MaxRevenue", MAXX(
FILTER(
Products,
EARLIER ( Products[CategoryID] ) = Products[CategoryID]
),
Products[Revenue]
)
)
``````

### Scenario 3: Calculate the Maximum Discount Given

Data Model:

• Table `Sales` containing columns: `SaleID`, `CustomerID`, `Discount`

DAX Implementation:

``````MaxDiscountGiven = MAXX (
Sales,
Sales[Discount]
)
``````

### Scenario 4: Maximum Sales by Employee

Data Model:

• Table `Employees` containing columns: `EmployeeID`, `EmployeeName`
• Table `Sales` containing columns: `SaleID`, `EmployeeID`, `TotalSales`

DAX Implementation:

``````MaxSalesByEmployee =
ADDCOLUMNS (
Employees,
"MaxSales",
MAXX (
FILTER (
Sales,
Sales[EmployeeID] = Employees[EmployeeID]
),
Sales[TotalSales]
)
)
``````

### Scenario 5: Maximum Quantity Sold Per Product

Data Model:

• Table `Sales` containing columns: `SaleID`, `ProductID`, `Quantity`

DAX Implementation:

``````MaxQuantityPerProduct =
ADDCOLUMNS (
VALUES ( Sales[ProductID] ),
"MaxQuantity",
MAXX (
FILTER (
Sales,
Sales[ProductID] = EARLIER ( Sales[ProductID] )
),
Sales[Quantity]
)
)
``````

### Conclusion

The provided DAX code snippets are practical implementations of how the `MAXX` function can be applied to real-world scenarios within your data models. Simply integrate these formulas into your existing DAX scripts or use them accordingly within your analysis tools.

# Project-Based Practice and Applications (Part 6)

## Scenario: Top Performing Products per Category

Given a dataset `Sales` with columns `ProductID`, `Category`, `SalesAmount`, implement DAX measures to find the top performing product in each category based on total sales.

### Step 1: Calculate Total Sales per Product

``````TotalSalesPerProduct =
SUMX(
VALUES(Sales[ProductID]),
CALCULATE(SUM(Sales[SalesAmount]))
)
``````

### Step 2: Calculate Maximum Sales per Category

``````MaxSalesPerCategory =
MAXX(
SUMMARIZE(
Sales,
Sales[Category],
"TotalSales",
[TotalSalesPerProduct]
),
[TotalSales]
)
``````

### Step 3: Identify Top Performing Product per Category

``````TopProductPerCategory =
CALCULATE(
MAX(Sales[ProductID]),
FILTER(
Sales,
[TotalSalesPerProduct] = [MaxSalesPerCategory]
)
)
``````

### Step 4: Combine Measures into a Visual-Friendly Table

Create a new table with the following calculated columns:

``````TopProductsTable =
ADDCOLUMNS(
SUMMARIZE(
Sales,
Sales[Category]
),
"ProductID", [TopProductPerCategory],
"TotalSales", [MaxSalesPerCategory]
)
``````

This practical approach ensures that the dataset can dynamically showcase the top-performing product in each category based on sales.

## Debugging DAX: Tips and Tools for Troubleshooting Your Formulas

One of the main reasons why businesses all over the world have fallen in love with Power BI is because...

## Practical Application of TREATAS Function in DAX

A hands-on project focused on using the TREATAS function to manipulate and analyze data in DAX.

## Leveraging the COUNTX Function In Power BI

Learn how to leverage the COUNTX function in DAX for in-depth data analysis. This guide provides step-by-step instructions and practical examples.

## Using the FILTER Function in DAX – A Detailed Guide With Examples

A comprehensive guide to understanding and implementing the FILTER function in DAX, complete with examples and combinations with other functions.

## DATESINPERIOD Function in DAX – A Detailed Guide

Learn how to implement and utilize DAX functions effectively, with a focus on the DATESINPERIOD function.

## Using the DISTINCT Function Effectively in DAX

A systematic exploration of the DAX DISTINCT function to optimize data analytics.

## Guide and Many Examples – ALL Function in DAX

A detailed guide to understanding, implementing, and mastering the DAX ALL function, complemented by practical examples and combinatory techniques.

## Detailed Guide to SWITCH function in DAX

A comprehensive guide to mastering DAX functions in Power BI for conducting advanced data analysis.

## SUMMARIZE Function in DAX – A Deep Dive

A comprehensive guide to using the DAX function SUMMARIZE in Power BI, with detailed explanations and practical examples.

## Your Data Visualization Doesnâ€™t Look Great. What Should You Do?

Data visualization is the key to unlocking the insights hidden within your data. But, what if your...

## Leveraging Power BI for Data-Driven Decisions

In the world of data analytics, thereâ€™s a constant demand for tools that not only help you make sense...

## Understanding Data Models and Visualizations

Power BI is a robust and versatile data visualization tool that has gained popularity for its...