Power Query – Introduction: Difference between revisions

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Created page with "= Module 1: Introduction to Power Query = == What is Power Query? == Power Query is a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources. It is built into Excel (from version 2016 onward) and can be accessed through the **Data** tab under the **Get & Transform Data** section. == Why Use Power Query? == * Automates repetitive data-cleaning tasks * Simplifies combining data from multiple sources * R..."
 
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== What is Power Query? ==
== What is Power Query? ==
Power Query is a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources. It is built into Excel (from version 2016 onward) and can be accessed through the **Data** tab under the **Get & Transform Data** section.
Power Query is a data connection and transformation tool built into Microsoft Excel. 
It allows you to import, clean, reshape, and combine data from multiple sources.
 
You can find Power Query in Excel 2016 and later, under the '''Data''' tab in the section called '''Get & Transform Data'''.


== Why Use Power Query? ==
== Why Use Power Query? ==
* Automates repetitive data-cleaning tasks
* Automates repetitive data-cleaning tasks
* Simplifies combining data from multiple sources
* Simplifies combining data from various sources
* Reduces the need for manual formulas and copy-pasting
* Eliminates the need for manual copy-pasting or complex formulas
* Improves reliability and traceability of data transformations
* Keeps a full record of all applied steps for transparency and easy modification
 
== Real-World Examples ==
* Importing monthly sales reports from multiple Excel files and combining them
* Cleaning survey data by removing duplicates and formatting columns
* Merging customer data from a CSV file with transaction data from a database
 
== How to Access Power Query in Excel ==
1. Open Microsoft Excel.
2. Go to the **Data** tab.
3. Locate the **Get & Transform Data** section.


From here, you can:
== Where to Find It ==
* Import data from Excel, web, databases, and other formats.
1. Open Microsoft Excel
* Launch the **Power Query Editor** to shape your data.
2. Go to the '''Data''' tab
3. Locate the '''Get & Transform Data''' group
4. Click '''Get Data''' to begin importing


== Hands-on Exercise ==
== Hands-on Exercise ==
'''Goal:''' Open Power Query Editor and explore its interface.
'''Goal:''' Open Power Query Editor and explore its interface.
'''File needed:''' [[Media:Sales_January.xlsx|Download Sales_January.xlsx]]


'''Steps:'''
'''Steps:'''
# Open Excel and create a new blank workbook.
# Open Excel and create a new blank workbook
# Go to the ''Data'' tab and click on ''Get Data > From Workbook''.
# Go to the '''Data''' tab → '''Get Data''' → '''From File''' → '''From Workbook...'''
# Select any Excel file and load a sheet with data.
# Select the file ''Sales_January.xlsx'' and click ''Import''
# In the Navigator window, click “Transform Data”.
# In the Navigator window, select the worksheet and click '''Transform Data'''
# Explore the Power Query Editor window – look at the applied steps, preview area, and ribbon.
# The Power Query Editor will open
# Review the following interface components:
#* **Query Pane** (left): shows loaded queries (e.g., Sales_January)
#* **Data Preview** (center): preview of your data table
#* **Applied Steps** (right): list of transformations applied to the data
#* **Ribbon Tabs**: Home, Transform, Add Column, View
 
== Key Concepts ==
* '''Query:''' A set of steps used to load and transform data
* '''Applied Steps:''' Each operation is recorded and can be edited or deleted
* '''Load vs. Transform:''' You can either load data directly or open the editor to make changes first
 


== Key Terms ==
* '''Query''' – A set of steps that transform your data
* '''Applied Steps''' – The list of transformations done on the data
* '''Data Source''' – Where the original data comes from (Excel file, database, etc.)


== Recap ==
→ Ready for real data work? Continue to [[Power Query – Importing and Managing Data|Module 2: Importing and Managing Data]].
In this module, you learned what Power Query is, how to access it, and why it's useful for data preparation and automation.

Revision as of 17:36, 18 June 2025

Module 1: Introduction to Power Query

What is Power Query?

Power Query is a data connection and transformation tool built into Microsoft Excel. It allows you to import, clean, reshape, and combine data from multiple sources.

You can find Power Query in Excel 2016 and later, under the Data tab in the section called Get & Transform Data.

Why Use Power Query?

  • Automates repetitive data-cleaning tasks
  • Simplifies combining data from various sources
  • Eliminates the need for manual copy-pasting or complex formulas
  • Keeps a full record of all applied steps for transparency and easy modification

Where to Find It

1. Open Microsoft Excel 2. Go to the Data tab 3. Locate the Get & Transform Data group 4. Click Get Data to begin importing

Hands-on Exercise

Goal: Open Power Query Editor and explore its interface.

File needed: Download Sales_January.xlsx

Steps:

  1. Open Excel and create a new blank workbook
  2. Go to the Data tab → Get DataFrom FileFrom Workbook...
  3. Select the file Sales_January.xlsx and click Import
  4. In the Navigator window, select the worksheet and click Transform Data
  5. The Power Query Editor will open
  6. Review the following interface components:
    • **Query Pane** (left): shows loaded queries (e.g., Sales_January)
    • **Data Preview** (center): preview of your data table
    • **Applied Steps** (right): list of transformations applied to the data
    • **Ribbon Tabs**: Home, Transform, Add Column, View

Key Concepts

  • Query: A set of steps used to load and transform data
  • Applied Steps: Each operation is recorded and can be edited or deleted
  • Load vs. Transform: You can either load data directly or open the editor to make changes first


→ Ready for real data work? Continue to Module 2: Importing and Managing Data.