Question: 2 Before moving on, we will check for and remove any outliers in the AveragePrice column. Use the 3SD method to identify and remove outliers
2 Before moving on, we will check for and remove any outliers in the AveragePrice column. Use the 3SD method to identify and remove outliers from this column; `avocados` should now reflect the data with the outliers removed. ### Save the number of rows in the updated `avocados` dataset (after outlier removal) to Q2. - Assign the number of rows remaining in the dataframe to Q2. It should look something like this: ``` [1] [value] ```
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