Filters in Pluto Insights allow you to refine and focus your data by applying specific conditions or criteria. They enable you to include or exclude certain data points based on specified rules, allowing for more targeted analysis and visualization.

When using filters, you define conditions that determine which data points should be included in the chart or table and which should be filtered out. This helps you drill down into specific subsets of your data to gain insights or answer specific questions.


Here's an example to illustrate how filters work:

Let's say you have a dataset containing customer information, including columns such as "Age," "Gender," and "Completions." You want to create a bar chart to display the total completions for male customers under the age of 30.

To achieve this, you would apply the following filters:

Filter 1: "Gender" equals "Male"
Filter 2: "Age" is less than 30

By adding these filters, Pluto Insights will only consider the data points that meet both criteria when generating the bar chart. The resulting visualization will show the total completions specifically for male customers under the age of 30.

Filters allow you to dynamically slice and dice your data, focusing on specific segments or subsets based on your analysis requirements. They help you uncover patterns, trends, and insights that are relevant to your specific data exploration goals.

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