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Exploratory Analysis

Overview​

Datafor offers powerful exploratory analysis capabilities that allow users to explore data in reports and dashboards in real-time.

1. Slicers​

Slicers are visual filtering tools that allow you to dynamically filter data by selecting different slicer options.

Reference Documentation

2. Component Filtering​

Component filtering allows you to filter data based on specific criteria to display the most relevant information.

Filtering and Data Selection

3. Cross-Filtering​

Cross-filtering and cross-highlighting enable automatic updates of related charts when a data point is selected in one chart, reflecting the related data.

Reference Documentation

4. Tooltips​

Tooltips are detailed information boxes that appear when you hover over data points in charts.

Reference Documentation

5. Drillthrough​

Drillthrough allows you to click on a data point in a report page and navigate to another page to see detailed information about that data point.

Reference Documentation

6. Drill Down​

Drill down enables you to view data at different levels of granularity in a chart, such as drilling down from yearly data to quarterly data.

Reference Documentation

7. Sorting​

Sorting allows you to arrange data in ascending or descending order based on a specific field.

Reference Documentation

8. Calculations​

Calculations involve creating custom formulas and measures to compute complex data analysis results.

Reference Documentation

Conclusion​

Datafor's exploratory analysis capabilities enable users to interact with data in real-time, offering flexible and efficient data analysis methods. By utilizing slicers, component filtering, cross-filtering, tooltips, drillthrough, drill down, sorting, and calculations, users can deeply explore data and uncover hidden trends and insights.