Power Query – Power Pivot Overview: Difference between revisions

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== Objective ==
== Objective ==
Learn how to load data into the Data Model, build relationships, and use DAX measures in PivotTables.
Learn how to load multiple related tables into the Data Model using Power Query, create relationships in Power Pivot, and build PivotTables using DAX calculations.


== Files Used ==
== Files Used ==
* [[Media:PowerPivot_SalesData.xlsx|Download PowerPivot_SalesData.xlsx]]
* [[Media:PowerPivot_Customers.xlsx|Download PowerPivot_Customers.xlsx]]
* [[Media:PowerPivot_Products.xlsx|Download PowerPivot_Products.xlsx]]
* [[Media:PowerPivot_Sales.xlsx|Download PowerPivot_Sales.xlsx]]


== Enabling Power Pivot ==
== Enabling Power Pivot Add-in ==
'''Steps:'''
'''Steps:'''
# In Excel '''File''' tab → '''Options'''
# Open Excel.
# Go to '''Add-ins'''
# Go to the '''File''' tab → click '''Options'''.
# At the bottom, choose '''COM Add-ins''' → click '''Go'''
# In the Excel Options window → select '''Add-ins'''.
# Check '''Microsoft Power Pivot for Excel''' → click '''OK'''
# At the bottom, next to '''Manage''', select '''COM Add-ins''' from the dropdown → click '''Go...'''.
# The '''Power Pivot''' tab will appear on the ribbon
# In the list, check '''Microsoft Power Pivot for Excel''' → click '''OK'''.
# The '''Power Pivot''' tab will now appear in the ribbon.


== Loading Data to Power Pivot ==
== Importing Data via Power Query into the Data Model ==
'''Steps:'''
'''Steps:'''
# Import '''PowerPivot_SalesData.xlsx''' via Power Query
# Go to the '''Data''' tab → click '''Get Data''' → '''From File''' → '''From Workbook'''.
# In the Power Query Editor, click '''Close & Load To...'''
# Select and open '''PowerPivot_Customers.xlsx'''.
# Choose:
# In Navigator → check the sheet → click '''Transform Data'''.
#* '''Only Create Connection'''
# In Power Query Editor → click the '''Home''' tab → click the dropdown under '''Close & Load''' → choose '''Close & Load To...'''.
#* Check '''Add this data to the Data Model'''
# In Import Data dialog:
# Click '''OK'''
#* Select '''Only Create Connection'''
#* Check the box '''Add this data to the Data Model'''
#* Click '''OK'''
# Repeat these steps for '''PowerPivot_Products.xlsx''' and '''PowerPivot_Sales.xlsx'''.


== Opening the Power Pivot Window ==
== Opening the Power Pivot Window ==
'''Steps:'''
'''Steps:'''
# Go to the '''Power Pivot''' tab
# Go to the Excel ribbon → click on the '''Power Pivot''' tab.
# Click '''Manage'''
# Click '''Manage'''.
# This opens the Power Pivot window with your loaded table
# The Power Pivot window will open showing the loaded tables.


== Creating Relationships ==
== Creating Relationships Between Tables ==
'''Steps:'''
'''Steps:'''
# Go to the Power Pivot window → '''Diagram View'''
# In the Power Pivot window → click the '''Diagram View''' button in the top-right.
# Drag and drop fields to link tables (if more than one table is present)
# Drag from '''CustomerID''' in the Sales table to '''CustomerID''' in the Customers table.
# Or: go to the '''Design''' tab → '''Create Relationship'''
# Drag from '''ProductID''' in the Sales table to '''ProductID''' in the Products table.
# You should now see the relationships as arrows between the tables.


== Creating a DAX Measure ==
== Creating a DAX Measure ==
'''Steps:'''
'''Steps:'''
# In Power Pivot window, click into the bottom row (under the table)
# In the Power Pivot window click on the '''Sales''' table.
# Type:
# Scroll to the bottom of the table.
# In the empty cell under the data → type the formula:


Total Revenue := SUM([Revenue])
  Total Sales := SUM([Total])


# Press Enter — the measure appears in the model
# Press '''Enter'''.
# The measure is now available in PivotTables.


== Using Power Pivot in PivotTables ==
== Building a PivotTable from the Data Model ==
'''Steps:'''
'''Steps:'''
# In Excel, go to '''Insert''' → '''PivotTable'''
# In Excel go to the '''Insert''' tab click '''PivotTable'''.
# Choose: '''Use this workbook’s Data Model'''
# In Create PivotTable dialog:
# Build a PivotTable using fields from Power Pivot
#* Select '''Use this workbook’s Data Model'''
 
#* Choose location (New worksheet or Existing worksheet)
== Additional Exercise: Create PivotTable with DAX Measure ==
# Click '''OK'''
'''Goal:''' Analyze revenue by region.
# Use fields from all related tables:
#* Add `Region` from Customers to Rows
#* Add `Category` from Products to Columns
#* Add `Total Sales` to Values


== Extension: Add a Calculated Column in Power Pivot ==
'''Steps:'''
'''Steps:'''
# Build a PivotTable based on the Data Model
# In the Power Pivot window → select the '''Sales''' table.
# Use `Region` as a row field
# Scroll to the rightmost column → click into the empty column labeled '''Add Column'''.
# Use `Total Revenue` as the values field
# Type:
# Sort by revenue descending
 
== Extension: Add Calculated Column ==
'''Goal:''' Add a margin estimate.
 
'''Steps:'''
# In the Power Pivot window, click a new column
# Use formula:


EstimatedMargin := [Revenue] * 0.25
  =[Quantity] * 0.1


# Use it in a new PivotTable analysis
# Press '''Enter'''.
# Rename the column to `EstimatedCommission`.


----
== Navigation ==


→ Continue to [[Power Query – Summary and Exercises|Module 6: Summary and Final Exercises]]
→ Continue to [[Power Query – Summary and Exercises|Module 6: Summary and Final Exercises]]

Latest revision as of 13:40, 22 June 2025

Module 5: Power Pivot Overview

Objective

Learn how to load multiple related tables into the Data Model using Power Query, create relationships in Power Pivot, and build PivotTables using DAX calculations.

Files Used

Enabling Power Pivot Add-in

Steps:

  1. Open Excel.
  2. Go to the File tab → click Options.
  3. In the Excel Options window → select Add-ins.
  4. At the bottom, next to Manage, select COM Add-ins from the dropdown → click Go....
  5. In the list, check Microsoft Power Pivot for Excel → click OK.
  6. The Power Pivot tab will now appear in the ribbon.

Importing Data via Power Query into the Data Model

Steps:

  1. Go to the Data tab → click Get DataFrom FileFrom Workbook.
  2. Select and open PowerPivot_Customers.xlsx.
  3. In Navigator → check the sheet → click Transform Data.
  4. In Power Query Editor → click the Home tab → click the dropdown under Close & Load → choose Close & Load To....
  5. In Import Data dialog:
    • Select Only Create Connection
    • Check the box Add this data to the Data Model
    • Click OK
  6. Repeat these steps for PowerPivot_Products.xlsx and PowerPivot_Sales.xlsx.

Opening the Power Pivot Window

Steps:

  1. Go to the Excel ribbon → click on the Power Pivot tab.
  2. Click Manage.
  3. The Power Pivot window will open showing the loaded tables.

Creating Relationships Between Tables

Steps:

  1. In the Power Pivot window → click the Diagram View button in the top-right.
  2. Drag from CustomerID in the Sales table to CustomerID in the Customers table.
  3. Drag from ProductID in the Sales table to ProductID in the Products table.
  4. You should now see the relationships as arrows between the tables.

Creating a DAX Measure

Steps:

  1. In the Power Pivot window → click on the Sales table.
  2. Scroll to the bottom of the table.
  3. In the empty cell under the data → type the formula:
 Total Sales := SUM([Total])
  1. Press Enter.
  2. The measure is now available in PivotTables.

Building a PivotTable from the Data Model

Steps:

  1. In Excel → go to the Insert tab → click PivotTable.
  2. In Create PivotTable dialog:
    • Select Use this workbook’s Data Model
    • Choose location (New worksheet or Existing worksheet)
  3. Click OK
  4. Use fields from all related tables:
    • Add `Region` from Customers to Rows
    • Add `Category` from Products to Columns
    • Add `Total Sales` to Values

Extension: Add a Calculated Column in Power Pivot

Steps:

  1. In the Power Pivot window → select the Sales table.
  2. Scroll to the rightmost column → click into the empty column labeled Add Column.
  3. Type:
 =[Quantity] * 0.1
  1. Press Enter.
  2. Rename the column to `EstimatedCommission`.

Navigation

→ Continue to Module 6: Summary and Final Exercises

Return to Main Page