Q: What tool can a data analyst use to figure out how many identical errors occur in a dataset?
or
Q: How many identical mistakes are there in a dataset? What tool can a data analyst use to determine this?
- CASE
- COUNTA
- CONFIRM
- COUNT
Explanation: A data analyst may make use of applications such as spreadsheet software (such as Excel) or scripting languages (such as Python or R) in order to determine the number of mistakes in a dataset that are similar to one another. They are able to recognize and tally the number of instances of certain faults within the dataset if they write scripts or make use of functions. Pattern matching and quickly locating faults that are similar are two more useful applications for regular expressions.