Google Sheets

DVAR: Google Sheets Formulae Explained

How do you use DVAR in Google Sheets?

DVAR is a function in Google Sheets that calculates the variance of a given set of data. To use DVAR, you simply enter the range of cells that you want to calculate the variance for into the function, and hit return. The function will then return the variance for that data set. This can be a useful tool for analyzing data, and for identifying trends.

What is the syntax of DVAR in Google Sheets?

The syntax of DVAR in Google Sheets is as follows: DVAR(array,k) where "array" is the name of the array and "k" is the desired kth element in the array.

What is an example of how to use DVAR in Google Sheets?

To use DVAR in Google Sheets, you can first reference the function in a formula. For example, the following formula calculates the variance of the values in the range A1:A10:


You can also use the DVAR function to create a chart that shows the variance of your data. First, select the range of data that you want to use for your chart. Then, go to the Insert menu and select Chart. In the Chart Type menu, select the Bar chart option. In the Series section, select the second option, which is the one that says "Data points connected by lines." Then, in the Values section, select the range A1:A10. Finally, in the Options section, select the check box for the "Display variance" option. Your chart will then show the variance of your data.

When should you not use DVAR in Google Sheets?

There are a few occasions when you might not want to use DVAR in Google Sheets. For example, if you have a large dataset with many columns, DVAR can become very slow to calculate. Additionally, if your data is not evenly distributed, DVAR may not produce accurate results.

What are some similar formulae to DVAR in Google Sheets?

DVAR is similar to a number of other formulae in Google Sheets. One of the most similar is VAR, which calculates the variance of a set of data points. Another is STDEV, which calculates the standard deviation of a set of data points. These formulae can be used to calculate the variability of data sets, which can be helpful for understanding how dispersed the data is.

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