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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.