How to use Analytics?
Guide to creating a Folder and Profiles on Analytics in MyMove
Analytics is a data analysis tool that offers a dynamic and fully customizable space based on user needs. It allows you to create charts from scratch, overlaying data from different sensors to facilitate comparisons between various parameters.
Custom charts, known as Profiles, are organized into groups called Folders for more efficient and orderly management. Analytics enables you to tailor the visualization of your data to your requirements, making complex data easier to interpret and use.
How to use create Folders and Profiles
Creating a Folder:
Access the Analytics section from the main menu.
Click on 'Create Folder' to start a new customizable dashboard. If Folders already exist, click on 'Analytics Management' in the top right, then click 'Add new folder' to create a new one.
Name the folder and add a description. Now you can add charts by selecting data from the available sensors.
Creating and customizing Line charts:
Click on Add Profile to create a new chart and select the Line Chart option.
Enter a title for the profile and an optional description.
In the next step, click on Configure Data Series to choose which parameter and sensor to add to the profile.
Filter through the available sensors by specifying a Device Type, a Vendor, and a Parent device. Search through them by Device name and EUI, or click on them choosing from the ones displayed on the image.
Choose a subset of the available measured parameters, and customize the appearance of each Data Series by adjusting the displayed name in the legend, color, and line thickness.
Keep adding parameters, choosing from all the sensors available on the project, until you reach 20 Data series.
Import alarms from one of the parameters included in the profile to display the thresholds on the graph. Customize the alarm thresholds by changing line type and thickness.
Customize the scaling of each Y-axis and decide whether to apply an autoscale or to set a minimum and maximum value to be displayed.
Set a time range for the profile. it will be the default interval for data visualization.
Save and run a final check of the profile created, using the graph preview as a reference. If necessary, refine the name, color, line type, and thickness of each data series.
Save the profile to apply the changes.
Creating and customizing Scatterplots:
Click on Add Profile to create a new chart and select the Scatterplot option.
Enter a title for the profile and an optional description.
In the next step, select the metrics you want to display on X and Y axes and click on Add Cluster.
Choose the parameters to associate with X and Y axes for each cluster. You can add up to 3 clusters.
For each cluser, customize the marker shape, size and color. You can also assign a custom name to the cluster.
For each cluster, specify a Sync window. In case the timestamps were not perfectly allinged between the parameters on X and Y, the system will find the two closest points within the Sync window.
Add a reference line by defining nodes on the X-Y plane. Consecutive nodes on the X axis will be connected creating a broken line. Acquisitions above the reference line will not be aggregated (up to 2000 ponts).
Define the axes scaling criteria. Indipendent scaling performes an autoscale on the two axes indipendently, whereas linked scaling uses the same scale for both axis.
Set a time range for the profile. it will be the default interval for data visualization.
Save the profile to apply the changes.
Saving and managing charts:
Once your profiles are configured, you can save them within the folder for future reference.
Organize multiple charts within each folder to create a comprehensive view of your monitoring data.
Easily modify or update existing charts as your data evolves or your analysis needs change.
Set the visualization preference for each folder, choosing between single and double column visualization.
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