Think about how Query Editor tracks changes step-by-step.
The 'Applied Steps' pane shows each transformation or action you perform on your data in order. This helps you track and edit your data cleaning process.
Think about which action directly deletes repeated rows.
The 'Remove Duplicates' function deletes rows that have the same values in selected columns, keeping only unique rows.
Multiplying by 1.1 increases each value by 10%.
Multiplying each price by 1.1 increases it by 10%, so 10 becomes 11, 20 becomes 22, and so on.
Dates need to be recognized as date type, not text.
Changing the data type to Date converts text values into proper date format for calculations and sorting.
Filter rows where Price is greater than 20.
Only prices 25, 30, and 40 are greater than 20, so 3 rows remain after filtering.