# Concept: Filter Recipe[¶](https://knowledge.dataiku.com/latest/courses/visual-recipes/filter.html#concept-filter-recipe "Permalink to this headline")

In Dataiku, you can create simple or advanced row filters with the Filter recipe. You can filter a dataset down to a subset of rows for further analysis. You can also filter on a condition or multiple conditions.

Let’s filter our orders on a date range where the order date is between July 1st and August 1st.

The result is a dataset containing only those orders between July 1st and August 1st.

We can also filter by value. Let’s try filtering our orders on a column value where the order type is a white t-shirt. The resulting output dataset contains only those rows where the **Type** column contains a value of **W\_tshirt**.

Now, let’s filter on multiple conditions using the “and” operator. In this example, only one order was made in July and was a white t-shirt.

Finally, let’s filter on multiple conditions using the “or” operator. Almost all of the orders in this table were placed either in July or were of type “white t-shirt”.

DSS will use a sample of the dataset by default. If you don’t want to sample your rows after filtering, select the **Sampling** menu, then choose **No sampling (whole data)**.
