Getting Started with Area Clusters

Understanding how to create area clusters

πŸ† How to Create Area Clusters

Area Clusters can be built on top of the Hex Heatmaps that you currently have. To create area clusters, navigate to the consoles section on the left side of your Locale home screen and pick the hex heatmap you want to use to build your area clusters.

πŸ•Ή Setting up the Area Clusters

Here are the steps to take once the hex heatmap of your choice has opened:

  • Click on the metric you want to filter.

  • Slide the legend to the value of your choice.

  • Click on Apply Filters.

  • Repeat this for other metrics you want to filter your cluster on.

You should be able to see all your filters listed under the area filters section. You can add as many area filters as you would like to see on your cluster dashboard.

Instead of sliding the legend, you can also directly put the value of your choice in the Area Filter box.

How do you remove or reset any filters?

  • Click on the bin icon in front of the particular filter you want to remove.

  • If you want to clear out all the selected filters, click on the Reset Filters button on top right of the area filters section.

πŸ“… Static Vs Dynamic Clusters

After you've applied the filters you want on your cluster, you have to select the time period you want to keep track of these metrices for. So, there are two types of clusters available in terms of the time period you pick: Static and Dynamic.

What's the difference between static and dynamic clusters?

Static clusters will show you the behavior of a certain time period selected at the time of creation. So, if you pick a custom time period, say, 1st to 30th January, 2020 as in this particular example, it will show you the area clusters for this particular time period no matter when you access it.

Dynamic clusters, on the other hand, reflect the behavior relative to the day you view the cluster. For example, if the time period you select at the time of creation is last 7 days, then the behavior reflected will be of the last 7 days from the day you view it.

When you hover to the bottom of the screen where dates are mentioned, you will see it says Expand Time Series. If you need more explanation on the time series on the Locale dashboard, check this out:

In order to pick the time period:

  • Click on Expand Time Series.

  • Then, click on dates under Time Range.

  • Pick the dates you want to create the cluster for:

    • If you select a time period under Custom, it would create a Static Cluster.

    • If you select a relative date, it would create a Dynamic Cluster.

  • Click Apply.

Static Clusters never change, no matter when you come back and see them. Dynamic Clusters keep changing according to the relative time period you would select while creating the cluster.

After you've applied all the filters you want on your Area Clusters and you've also selected the time period you want to track:

  • Click on Save As Cluster under the area filters section.

  • A Create Cluster dialog box would pop up. Name the Cluster and Write a Description.

  • Select the Metrices you would like to see on the Cluster and click on Save Cluster.

You can even select from the metrices that you have not filtered if you wish to see them on your Cluster dashboard.

Recap: How to Create and Save your Area Clusters

πŸ‘€ Viewing your Saved Clusters

In order to view your saved clusters:

  • Click on the Area Clusters section on the left side of your Locale home screen.

  • The names of all your saved clusters would be visible in a list view. You can further filter them based on Dynamic or Static Clusters. Click on the Cluster you want to see.

  • Now, you are ready to monitor your selected metrices and take action on them! Happy Clustering! ✨

Clusters are not editable once saved. So after you have saved a cluster, you can only use them in the view mode for now. In future updates, you will also be able to add new metrics or filters even after the cluster is created and saved. You will also be able change hexagons to polygons and vice versa.

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