All Collections
Data Management
How to Use Datasets Filter
How to Use Datasets Filter
Ö
Written by Öykü Eda Aydın
Updated over a week ago

We are thrilled to introduce our latest innovation, designed to enhance your experience with ready dataset access. Our advanced filtering system is meticulously crafted to provide you with ease and efficiency in discovering and accessing sample data across a wide range of categories. Whether you're a data scientist, market researcher, or business analyst, our advanced filtering features are tailored to meet your diverse data exploration needs.

Key Features:

  1. Query Selection: Explore a wide range of categories, including data types and use cases like product category, review ID, rating, etc., to discover datasets that precisely match your unique goals and requirements.

  2. Advanced Data Filter: Upon selecting your query, leverage our comprehensive filtering capabilities, which include:

    • "Contains": Retrieves data entries that include the specified text string.

      • Select the field name from the first drop down and choose “contains” as the filtering option to be then enter the specific keyword.

      • Please be aware that when entering the keyword, ensure it is partially added. If you input the full keyword, adjust the filtering to "Is."

    • "Does not contain": Filters out data entries that do not include the specified text string.

      • Select the field name from the drop down list and choose the query option as “Does not contain” and enter the specific keyword in the search string.

    • "Is": Retrieves data entries that exactly match the specified text.

      • Select the field name from the drop down list and choose the query option as “Is” then enter the exact keyword to be filtered, the available keywords from the dataset will be displayed in the drop down list.

      • Please note that when inputting the keyword, make sure it is entered in full. If you enter a partial keyword, adjust the filtering to "Contains."

    • "Is not": Filters out data entries that do not exactly match the specified text.

      • Select the field name from the drop down list and choose the query option as “Is not” then enter the exact keyword to be filtered, the available keywords from the dataset will be displayed in the drop down list.

    • "Greater than": Retrieves data entries that have text values greater than the specified value.

      • Select the field name from the drop down list and choose the query option as “Greater than” then enter the number to be filtered.

      • If the selected field name from the drop down list is date , a calendar option will be displayed where the user will be able to choose the dd–mm–yyyy format with time.

    • "Lower than": Retrieves data entries that have text values lower than the specified value.

      • Select the field name listed from the drop down list and the filter query option as “Lower than” then enter the value in the text box.

    • "Is empty": Retrieves data entries where the text field is empty.

      • Select the field name from the drop down list and the filter query option as “Is empty”. Entering keywords is not required for this filter.

    • "Is not empty": Filters out data entries where the text field is empty.

      • Select the field name from the drop down list and the filter query option as “Not empty”. Entering keywords is not required for this filter.

3. Keywords: Once you've selected the keywords compatible with the Advanced Data Filter as demonstrated above, you can proceed by pressing the "Filter" button. This action will allow you to effortlessly access your sample data, enhancing your overall experience.

Did this answer your question?