Optimibi offers a variety of filter components to help users analyze data more flexibly.

Filter components include:

• Dropdown
• List box
• Button
• Radio/Checkbox
• Hierarchical filter
• Date
• Date range
• TimeAxis
• TimeAxis range
• Numeric range filter
• Pager
• Search

The Role of Filter Components in Exploratory Analysis

• Enhancing Data Accessibility

  Filter components allow users to easily access and select specific subsets of data without writing complex queries. With simple operations, users can quickly filter data.

• Increasing Data Interactivity

  Filter components make data analysis more interactive. Users can dynamically adjust data views by selecting different filter conditions and observe data changes in real time.

• Supporting Complex Analytical Needs

  By combining multiple filter components, users can apply multidimensional filter conditions for more detailed and in-depth analysis. For example, in sales data analysis, users can simultaneously filter data by specific time periods, regions, and product categories.

• Providing Personalized Analytical Experience

  Different users have different needs and focuses on data. Filter components allow users to customize data views based on their specific analytical requirements.