12 Most Useful Excel Functions for Data Analysis

I had a conversation with Lucy, an experienced leader who was in charge of overseeing the data analytics team.

She relied on basic Excel functions and formulas to perform her tasks. She was unaware of the most useful and advanced Excel functions that could have streamlined her work.

When she was tasked with complex projects, she spent a lot of time performing repetitive tasks manually, which hindered her from meeting deadlines. Her productivity suffered, and that affected the team’s overall performance, hence delaying deliverables.

Do you also have limited knowledge of Excel functions? If your answer is yes, then you need to upskill.

Here are the 12 most useful Excel functions that will help you handle your Excel data analysis tasks.

1. IF

The IF function helps you to instruct Excel to execute specific calculations or show different values.

When using the IF function, there is the logical test to be performed, the action to be taken, and the alternative action if the test yields a false result.

Here is the structure of the IF function:

=IF(logical test, value if true, value if false)

Below, the word “Yes” is displayed if the delivery date in column C is more than seven days later than the order date in column B. Otherwise, the word “No” is displayed.

2. SUMIFS

The SUMIFS function allows for the summation of values according to the specific criteria, and it can enable the testing of multiple conditions at once.

It requires the range of values to be summed and the ranges to be tested with respective criteria.

Its structure is: =SUMIFS (sum range, criteria range 1, criteria 1, …)

When you use the SUMIFS function, you can calculate the sum of values and save time in your data analysis tasks.

3. COUNTIFS

COUNTIFS enables you to count the number of values that meet specific criteria.

Along with this function, Excel provides other functions, such as AVERAGEIFS, MAXIFS, and MINIFS.

The COUNTIFS function does not need a sum range, but it counts the occurrences based on the specified criteria.

4. TRIM

The TRIM function helps eliminate all spaces from a cell and not only single spaces between words.

It removes the trailing spaces that occur when content is copied and pasted from external sources.

Below, the COUNTIFS function from before isn’t working since there is space at the end of cell B6.

We can use the TRIM function to ensure accurate data analysis and the structure of the TRIM function: =TRIM(text).

Here, the TRIM function is used in a separate column to clean the data in the column ready for analysis.

5. CONCATENATE

This function in Excel enhances the merging of values from multiple cells into a single cell.

It accumulates text components, such as an individual’s name, address, or reference number.

The structure of the CONCATENATE function is: =CONCATENATE(text1, text2, text3, …)

Here, CONCATENATE is used to combine the firstname and lastname into a fullname.

6. LEFT/RIGHT

These Excel functions provide a way to extract specific numbers of characters from the start and end of text.

They can be used to extract relevant portions of addresses, URLs, or references to enable further analysis.

The structure of the LEFT function is : =LEFT(text, num chars) while for the RIGHT: =RIGHT(text, num chars)

LEFT function is used to extract the client ID.

The RIGHT function used to extract the last character from the cells in column A

7. VLOOKUP

If you want to consolidate the data from different lists or compare two lists to identify matches or missing items, then the VLOOKUP is the go to tool.

It searches for a specific value in a table and recovers information from another column.

It requires four pieces of information:

• The value you want to search for.
• The table you want to perform the search.
• The column with the information you want to retrieve.
• The type of lookup you want to perform
• The structure of this function is: =VLOOKUP(lookup value, table array, column index number, range lookup)

For example, we can have a sales table with the employee sales data and another one with additional employee information

8. IFERROR

Errors can occur in Excel that can be expected or unintended, and the IFERROR function can be used to display a more meaningful error message.

The IFERROR function needs two components: the value to check for an error and the action to take in case there is an error.

The structure of this function is: =IFERROR(value, value_if_error)

By utilizing this IFERROR function, you can enhance the error-handling capabilities of your formulas, get informative messages and perform alternative calculations when there is an error.

In this example, we wrap the IFERROR function around VLOOKUP to display a more meaningful message.

9. VALUE

When working on Excel, it is common to import, copy or paste data from different sources.

This can sometimes lead to the data being stored in the wrong format hence posing challenges when performing data analysis tasks.

The good news is that you can use the VALUE function to address this issue. It helps to convert text that represents numbers into actual numeric values.
The structure of the VALUE function is: =VALUE(text)

In this example, the following formula converts the sales values stored as text in column B to a number

10. UNIQUE

The UNIQUE function needs three inputs: The range where you extract the unique list, the columns or rows to check for unique values, or whether you desire a unique list or a distinct list.

The syntax for this function is: =UNIQUE(array, by col, exactly once).

Below, we have a list of product sales and our aim is to extract a unique list of the product names hence we will provide the range.

We can use the SUMIFS function to sum the sales for each of those products.

11. SORT

This Excel function allows you to sort a list of values, and for you to use the SORT function, you will need the four arguments:

• The range that you intend to sort.
• The column by which you want to sort.
• The order you want to sort the range
• Whether you will sort the rows or the columns.
• The syntax for this function is =SORT(array, sort index, sort order, by col).

12. FILTER

The FILTER function allows you to filter a list or range of data. It is vital for data analysis and generating reports.

• It requires three arguments:
• The range to filter.
• The criteria defining the results to include.
• The action to take if no results are returned.
• The syntax for using this function is: =FILTER(array, include, if empty).

In this example, the results for the subject entered in cell F2 are returned.

Bottom Line

If you are a data analyst seeking to excel in your work, the Excel functions will help you analyze and manipulate data and make informed decisions.

By harnessing the power of Excel functions, you streamline your data analysis process and save time and effort.

Do you want to level up your data analysis game? Sign up for our advanced Excel skills training.

Watch this video to understand why you need to develop Advanced Excel Skills