GitHub user dosubot[bot] added a comment to the discussion: How to import 
dataset with extension .xlsx in Superset 5.0.0?

<!-- Answer -->
Superset 5.0.0 supports importing datasets from .xlsx files directly. To do 
this, first make sure the target database connection has "Allow file uploads to 
database" enabled (in the database settings, under the Advanced tab, Security 
section) 
[docs](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docs/docs/using-superset/exploring-data.mdx).

Then, use the "Upload file to database" option in the UI, select your .xlsx 
file, pick the database, schema, and table name, and configure any 
Excel-specific options like sheet name, columns to parse as dates, decimal 
character, null values, index column, header row, rows to read, and rows to 
skip 
[code](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/features/databases/UploadDataModel/index.tsx).
 The UI will validate that your file has a .xlsx extension and let you preview 
and configure the import.

After uploading, the dataset will appear in the Datasets tab and is ready for 
exploration and visualization 
[docs](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/docs/docs/using-superset/exploring-data.mdx).
 Make sure your environment has the necessary dependencies for Excel parsing 
(like openpyxl). No workarounds are needed—.xlsx import is natively supported 
in this version.


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