Filters are a powerful tool in our platform that allow you to manipulate and transform data in various ways. In this guide, we'll explore the different types of filters available and how to use them effectively.

Types of Filters

  1. Basic Filters

    • Equality: Check if a value matches a specific value.
    • Range: Check if a value falls within a certain range.
    • Regex: Use regular expressions to match patterns.

  2. Advanced Filters

    • Logical Filters: Combine multiple filters using AND, OR, and NOT operators.
    • Custom Filters: Create your own filters using JavaScript or Python.

Using Filters

To use filters, follow these steps:

  1. Navigate to the dataset you want to filter.
  2. Click on the "Filter" button.
  3. Select the filter type you want to use.
  4. Configure the filter settings.
  5. Apply the filter.

Example

Suppose you have a dataset of products and you want to filter out all products that are out of stock. You can use the following filter:

  • Type: Range
  • Field: Stock
  • Operator: Greater than
  • Value: 0

Example Filter

For more information on filters, check out our Advanced Filtering Techniques.

Conclusion

Filters are a versatile tool that can help you quickly and easily manipulate your data. By understanding the different types of filters and how to use them, you can gain valuable insights from your data more efficiently.