Here's how to import data from external sources (CSV, TXT, JSON) using Power Query in Excel:

General Steps:

1. Access Power Query Editor:
- Excel 2016 & Later: Go to the "Data" tab and click "Get Data" -> "From File" and choose your file type (From Text/CSV, From JSON).
- Excel 2010 (Power Query Add-in Required): Go to the "Power Query" tab and click "From File" -> select your file type.

2. Navigate to your file: In the opened window, browse to the location of your CSV, TXT, or JSON file and select it.

3. Preview and Transform Data (Optional):
- Power Query will display a preview of your data.
- You can perform initial transformations like selecting specific columns or rows before importing.

4. Import Data:
- Click "Transform Data" (Excel 2016+) or "Import" (Excel 2010) to bring the data into Power Query Editor.

Specific Considerations for File Types:

- CSV & TXT:
- In the Power Query Editor, you might need to specify the delimiter (comma, semicolon, etc.) used to separate values in your text file.
- You can also set the data type for each column (text, number, date, etc.) if necessary.
- JSON:
- Power Query will typically automatically detect the structure of your JSON data.
- You can navigate nested elements within the editor to access specific data points.

Additional Tips:

- Power Query offers various options for data transformation and cleaning before loading it into your Excel sheet.
- You can connect to external data sources beyond these file types using Power Query.
- For more complex data manipulation, you can leverage Power Query's M language for custom functions.

By following these steps and exploring the functionalities within Power Query Editor, you can efficiently import and transform data from various external sources (CSV, TXT, JSON) for further analysis in your Excel workbook.