Update DataflowGen2.md

Fixed spelling and removed error

Data Factory in a Day/DataflowGen2.md

@@ -56,8 +56,6 @@
 
 1. Navigate to the far right of the **DimCustomer** table and select the joined **DimGeography** table column's top right corner to expand the table. From the available column selections, deselect **GeographyKey** since this column is what we used to merge on and already exists in the dataset. Select **OK** to continue.
 
-1. Navigate to the far right fo the **DimCustomer** table and select the joined **DimGeography** table column's top right corner to expand the table, from the avaialble column selections deselect **GeographyKey** since this column is what we used to merge on and already exists in the dataset before selecting **OK** to continue.
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     ![Expand DimGeography](./Media/merge-dimcustomer-expand.png)
 
 1. On the right-hand side, you can review the Applied steps list, which indicates that our queries are successfully folding back to the lakehouse's SQL endpoint. The options View data source query and View query plan also exist to review the SQL generated or the execution plan for the query. This step allows you to verify that the data transformations are being applied correctly and efficiently, ensuring the integrity and performance of your data pipeline.
@@ -193,4 +191,4 @@ In this lab, we covered a comprehensive range of topics essential for connecting
 
 Overall, these skills are essential for effectively leveraging a low-code data prep interface. They enable you to streamline your data projects, optimize storage and retrieval, and ensure that your data is always ready for analysis.
 
-- Return to the [Data Factory in a Day](./README.md) homepage
+- Return to the [Data Factory in a Day](./README.md) homepage