Best Practices

10 reasons why you need a DataGrid synchronized dashboard

by

Mustapha Mekhatria

3 minutes read

In this tutorial, I’ll explore why you need to create a DataGrid synchronized dashboard, whereas, in the following tutorial, I will explain how to create a DataGrid synchronized dashboard.

If you are unfamiliar with Highcharts Dashboards, no worries; it is pretty straightforward to create a dashboard. Otherwise, feel free to check the following blog Highcharts Dashboards 101.
The DataGrid synchronized dashboard allows you to drag points on charts to update a data grid, and to edit a data grid to update charts (see dashboard demo below)

Using drag points to update a data grid on a chart can offer several benefits regarding data visualization and user interaction. Here are ten reasons why you might need to create such a dashboard:

1. Interactive data exploration

Dragging points on a dashboard to update the associated data grid allows users to explore the data interactively. They can manipulate individual data points and observe the corresponding changes in the data grid, helping them gain deeper insights into the relationships and patterns within the data.

2. Real-time feedback

As users drag points on the chart, the data grid can update in real-time, providing immediate feedback. This feature enables users to quickly see the impact of their actions and make informed decisions based on the updated data.

3. Data-driven decision-making

The drag-and-update approach facilitates data-driven decision-making by allowing users to modify data points and observe the consequences directly. Users can experiment with different scenarios and observe how changes affect the entire dataset.

4. Customized analysis

Users can tailor their analysis by dragging points to test hypotheses or isolate specific data points. This level of customization helps users uncover insights that might not be readily apparent through static charts alone.

5. Enhanced user engagement

Interactive features like drag-and-update can enhance user engagement and retention. The hands-on experience of manipulating data points on the chart can make the visualization more captivating and memorable.

6. Error identification

When working with data, errors or outliers can be identified more easily through direct manipulation. Dragging points to unexpected positions might indicate data quality issues that need further investigation.

7. Contextual understanding

Seeing the data grid change as points are dragged can provide users with a better understanding of the data’s structure and relationships. This can be particularly useful when dealing with multidimensional data.

8. Efficient data editing

Users can edit data directly on the chart instead of having to edit data in a separate interface. This can save time and reduce the cognitive load of switching between different tools or views.

9. Educational tool

The drag-and-update approach can serve as an educational tool, helping users learn about data manipulation and visualization concepts. It can be useful in teaching settings or for individuals looking to improve their data analysis skills.

10. Flexibility and adaptability

Users may have specific requirements for data analysis that cannot be easily addressed with pre-configured interfaces. Allowing drag-and-update functionality empowers users to adapt the visualization to their specific needs.

Using drag points to update a data grid on a chart can significantly enhance data exploration, analysis, and user engagement, providing a dynamic and interactive experience beyond traditional static visualizations.

Now that you know why you could use a DataGrid synchronized dashboard, let’s jump to the next tutorial to see how to create a DataGrid synchronized dashboard.