process data from dirty to clean weekly challenge 2 answers
1. As part of the data-cleaning process, a data analyst creates a rule to highlight any empty cells in a bright blue color. This is an example of data visualization.
2.A data analyst at a nonprofit organization is working with the following spreadsheet, which contains member name data in column C. They want to divide this data using the underscore as a delimiter, so that first names are stored in one column and last names in another. Which tool should the analyst use?
5. A data analyst in a human resources department is working with the following selection of a spreadsheet:
They want to create employee identification numbers (IDs) in column D. The IDs should include the year hired plus the last four digits of the employee’s Social Security Number (SS#). What function will create the ID 20093208 for the employee in row 5?
6. A data analyst at an e-commerce company is working with a spreadsheet containing last month's sales. The most expensive product their company sells costs $49.99, so they want to quickly confirm that all of the data in the Sales column is $49.99 or less. What function can they use?
8. A data analyst needs to combine two datasets. Each dataset comes from a different system, and the systems store data in different ways. What can the data analyst do to ensure the data is compatible?
10. A data analyst uses the SPLIT function to divide a text string around a specified character and put each fragment into a new, separate cell. What is the specified character separating each item called?