How to Use the Double Filter in Excel to Filter Data by Multiple Criteria

The double filter is a powerful tool in Excel that allows you to filter data by multiple criteria. This can be useful for finding specific data points or for comparing different data sets.

In this article, we will show you how to use the double filter in Excel. We will start by explaining the basics of the double filter, and then we will show you how to use it to filter data by multiple criteria.

What is the Double Filter?

The double filter is a feature in Excel that allows you to filter data by two different criteria. For example, you could use the double filter to filter data by the product type and the salesperson.

To use the double filter, you first need to select the data that you want to filter. You can then use the Advanced Filter dialog box to specify the two criteria that you want to use.

How to Use the Double Filter in Excel

To use the double filter in Excel, follow these steps:

  1. Select the data that you want to filter.
  2. Go to the Data tab and click the Advanced Filter button.
  3. In the Advanced Filter dialog box, specify the two criteria that you want to use.
  4. Click the OK button.
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The data will now be filtered based on the two criteria that you specified.

Criteria

Let us try to create simple data in Excel for the filer criteria:

Here are some examples of how you can use the double filter:

  • Filter data by product type and salesperson.
  • Filter data by date range and product type.
  • Filter data by sales amount and customer location.

How to create a filter using Advanced Filter?

Create the data and filter criteria:

double filter data table and criteria

Click the advanced:

double filter advanced filter button

Use the ranges as follows:

double filter advanced filter applied

Clicking ok will give the following results:

double filter data double filtered

Add more conditions for double filter like below and select the following ranges for criteria in advanced:

double filter advanced filter results

The results are as follows:

double filter data double filtered results

Tips for Using the Double Filter

Here are some tips for using the double filter:

  • Use the AND operator to combine two criteria. This will ensure that only the rows that meet both criteria are filtered.
  • Use the OR operator to combine two criteria. This will ensure that all of the rows that meet either criteria are filtered.
  • Use the NOT operator to exclude rows that meet a certain criteria.

How to create a filter using Filter Drop-Downs?

Follow these steps to apply a double filter using the filter drop-down menus:

  1. Select the data set that you want to filter.
  2. Go to the Data tab in the ribbon and click the “Sort & Filter” drop-down.
  3. Choose “Filter”.
  4. Click the drop-down arrow for the first column you want to filter.
  5. Select the first criteria you want to use to filter the data.
  6. Repeat steps d and e for the second column you want to filter.
  7. The data will now be filtered based on both criteria, and only rows that meet both conditions will be displayed.
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Note: In both methods, the double filter will only display the rows that meet both criteria, and the original data set remains unchanged. To remove the filter, go to the “Sort & Filter” drop-down and choose “Clear”.

Using the Double Filter to Analyze Data

The double filter can be used to analyze data in a variety of ways. For example, you could use the double filter to:

  • Identify trends and patterns in your data. For example, you could use the double filter to identify the most popular products by month or the top-performing salespeople by region.
  • Compare different data sets. For example, you could use the double filter to compare sales by product type for two different time periods or to compare customer satisfaction scores for different product categories.
  • Identify outliers and anomalies in your data. For example, you could use the double filter to identify products with unusually high or low sales or customers with unusually high or low satisfaction scores.

Advanced Tips for Using the Double Filter in Excel

The double filter is a powerful tool in Excel, but there are a few advanced tips that can help you use it even more effectively.

Using wildcards in your criteria

Wildcards can be used to match any character or group of characters in your criteria. This can be useful for filtering data by partial matches.

For example, to filter data by all products that start with the letter “A”, you could use the wildcard character “*”. To filter data by all products that contain the word “apple”, you could use the wildcard character “?”.

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Using multiple criteria in a single column

You can use multiple criteria in a single column to filter data. To do this, you need to use the OR operator to combine the criteria.

For example, to filter data by all products that are either apples or oranges, you could use the following criteria:

="Apple" OR ="Orange"

Filtering data from multiple tables

You can use the double filter to filter data from multiple tables. To do this, you need to use the Criteria range option in the Advanced Filter dialog box.

First, create a criteria range that contains the criteria for each table that you want to filter. The criteria range should have the same column layout as the data that you want to filter.

Next, in the Advanced Filter dialog box, select the Criteria range option and specify the range of the criteria range.

Using the double filter with other Excel features

You can use the double filter in conjunction with other Excel features to create powerful data analysis tools. For example, you could use the double filter to filter data before creating a pivot table or chart.

You could also use the double filter to filter data before using the VLOOKUP function to lookup values in another table.

Conclusion

The double filter is a powerful tool that can be used to filter data in Excel by multiple criteria. By following the tips in this chapter, you can use the double filter more effectively to get the most out of your data.