

0 / 2 embers
0 / 3000 xp
click for more info
Complete a lesson to start your streak
click for more info
Difficulty: 2
click for more info
Not enough gems
Cost: 6 gems
1: Power Query
incomplete
2: Python Scripts in Power Query
incomplete
3: Removing Duplicates
incomplete
4: Split a Column
incomplete
5: Merging Columns
incomplete
6: Missing Values
incomplete
7: Performance Considerations
incomplete
8: Data Refresh
incomplete
9: Data Refresh
incomplete
10: Formatting
incomplete
11: Filters
incomplete
Back
ctrl+,
Next
ctrl+.
This lesson's interactive features are locked, please to keep using them
Sometimes data isn't neatly organized; for example, an address might be stored in one long string like:
123 Main Street, Springfield, OH 20324
In Power Query we can quickly split a column into separate fields using a delimiter, like a comma, dash, or pipe. This helps you clean up messy data and make it easier to use.
You'll see this a lot in real data. Combining multiple values in one cell is (unfortunately) super common, but luckily easy to fix.
In our website_sessions dataset, we have a browser_os column that combines the browser and operating system with a pipe delimiter (like Chrome|Windows). Let's split it into separate columns.
You'll now see the browser_os data split into multiple columns:
browser_os.1 = browserbrowser_os.2 = operating systemSave the project and, from the course directory, submit the CLI tests.