Analyzing Parametric Data in a Data Space

Derive insights about your parametric data in a data space.

Introduced in December 2024

This section uses the default Jupyter Notebook, Data Space Analysis. To create a custom script for analyzing parametric data, refer to the Related tasks.
Before you begin, complete the following tasks.
  • Download the default Jupyter Notebook, Data Space Analysis (Data_Space_Default_Analysis.ipynb) from GitHub. Publish the notebook under the DataSpace Analysis interface of a workspace you can access.
  • Plot the data you want to analyze in a data space.
To analyze your parametric data, complete the following steps.
  1. Navigate to Product Insights » Data Spaces.
  2. Open the data space with the data you want to analyze.
  3. To expand the Analysis window at the bottom of the page, click Show analysis table ().
  4. Click Analyze.
    After the analysis completes, SystemLink Enterprise displays the statistical results.
  5. Optional: In the Analysis window, click Configure to open the Configure grid slide-out. Complete the steps that align with your goal and click OK.
    OptionDescription
    Change a column.
    1. Click a column in the list.
    2. Select a new analysis from the drop-down menu.
    3. Update the alias for the column.
    Add a column.
    1. Click Add column.
    2. Select the analysis you want to add.
    3. Designate an alias for the column.
    Remove a column. Click Remove next to the column you want to remove.
    Rearrange the columns.
    1. Click Drag to reorder next to the column you want to move.
    2. Drag and drop the column in the new location.
    Note If you are using a custom script and do not see the results from your custom script, ensure the following.
    • You have published your custom script to a workspace you can access.
    • Your custom script conforms to the DataSpace Analysis interface.
  6. Optional: To show or hide the result from a cell in the plot, click Actions next to the cell.
Saving the dataspace also saves the analysis results, including any columns and plots.