Q: During data cleaning, you find an error in a username where the ID number was accidentally joined to the user’s last name. You need to figure out if this username has been entered incorrectly more than once in your datasett. If you use a pivot table, what function can you use to determine the number of times this error occurs in your dataset?
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Q: You discover a username issue during data cleaning where the ID number was inadvertently connected to the user’s last name. Check your datasett to see whether this username has been entered wrongly more than once. What function can you use in a pivot table to find the frequency with which this mistake appears in your dataset?
- CASE
- COUNT
- COUNTA
- CHECK
Explanation: You may assess the frequency with which a certain kind of mistake appears in your dataset by making use of the “Count” or “Countif” function that is available in pivot tables. This function will tally the occurrences of each unique username, assisting you in determining the frequency with which an improper combination of the joined ID number and last name has been input. You may easily retrieve the count you want by using the “Count” function on the column containing users’ usernames in the pivot table you’re working with.
