Handling Multiple Data Sources
Handling multiple data sources is an essential skill for effective data analysis. You can use the "Merge Queries" feature to join tables based on a common column, similar to SQL joins, allowing you to create relationships between different datasets. For combining tables with similar structures, the "Append Queries" feature lets you stack them together, merging rows from different sources into one comprehensive table.
Below are the additional datasets you will use:
1. What feature in Power Query allows you to join tables based on a common column?
2. Which feature is used to combine tables with similar structures by stacking them together?
Thanks for your feedback!
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
Awesome!
Completion rate improved to 3.7Handling Multiple Data Sources
Swipe to show menu
Handling multiple data sources is an essential skill for effective data analysis. You can use the "Merge Queries" feature to join tables based on a common column, similar to SQL joins, allowing you to create relationships between different datasets. For combining tables with similar structures, the "Append Queries" feature lets you stack them together, merging rows from different sources into one comprehensive table.
Below are the additional datasets you will use:
1. What feature in Power Query allows you to join tables based on a common column?
2. Which feature is used to combine tables with similar structures by stacking them together?
Thanks for your feedback!
