Power Query – Summary and Exercises: Difference between revisions
												
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= Module 6: Summary and Final Exercises =  | |||
== Objective ==  | |||
In this final module, you'll apply the knowledge from previous modules in a guided challenge.    | |||
The goal is to consolidate your skills using real-world data transformation scenarios.  | |||
== Files Used ==  | |||
* [[Media:Sales_January.xlsx|Download Sales_January.xlsx]]  | |||
* [[Media:Sales_February.xlsx|Download Sales_February.xlsx]]  | |||
* [[Media:Employees.csv|Download Employees.csv]]  | |||
== Final Exercise – Sales Data Cleanup and Analysis ==  | |||
'''Goal:''' Combine two months of sales data, clean it, and calculate total revenue per region.  | |||
'''Steps:'''  | |||
# Load both '''Sales_January.xlsx''' and '''Sales_February.xlsx''' into Power Query  | |||
# Combine them using '''Append Queries'''  | |||
# Remove unnecessary columns  | |||
# Ensure data types are correct (e.g. Date, Text, Whole Number)  | |||
# Group data by '''Region''' and calculate total sales  | |||
# Sort results by descending revenue  | |||
== Final Exercise – Employee Filtering and Export ==  | |||
'''Goal:''' Filter active employees from the HR system and export the data.  | |||
'''Steps:'''  | |||
# Load '''Employees.csv''' into Power Query  | |||
# Remove unnecessary columns  | |||
# Filter rows where '''Status''' equals '''Active'''  | |||
# Rename columns as needed  | |||
# Load the cleaned data into a new worksheet  | |||
== Optional Bonus Task ==  | |||
Try to convert the combined sales data to a PivotTable using Power Pivot:  | |||
* Load the combined query to the Data Model  | |||
* Add a calculated measure (e.g. Total Revenue)  | |||
* Use PivotTable to analyze revenue by Region and Product  | |||
----  | |||
Return to [[Power_Query_–_Basic|Main Page]]  | Return to [[Power_Query_–_Basic|Main Page]]  | ||
Revision as of 09:18, 19 June 2025
Module 6: Summary and Final Exercises
Objective
In this final module, you'll apply the knowledge from previous modules in a guided challenge. The goal is to consolidate your skills using real-world data transformation scenarios.
Files Used
Final Exercise – Sales Data Cleanup and Analysis
Goal: Combine two months of sales data, clean it, and calculate total revenue per region.
Steps:
- Load both Sales_January.xlsx and Sales_February.xlsx into Power Query
 - Combine them using Append Queries
 - Remove unnecessary columns
 - Ensure data types are correct (e.g. Date, Text, Whole Number)
 - Group data by Region and calculate total sales
 - Sort results by descending revenue
 
Final Exercise – Employee Filtering and Export
Goal: Filter active employees from the HR system and export the data.
Steps:
- Load Employees.csv into Power Query
 - Remove unnecessary columns
 - Filter rows where Status equals Active
 - Rename columns as needed
 - Load the cleaned data into a new worksheet
 
Optional Bonus Task
Try to convert the combined sales data to a PivotTable using Power Pivot:
- Load the combined query to the Data Model
 - Add a calculated measure (e.g. Total Revenue)
 - Use PivotTable to analyze revenue by Region and Product
 
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