You have an Azure Synapse Analytics notebook. You run the %%sql magic command to render data into an Apache Spark DataFrame named df1, and then you run the following code. display(df1, summary =…

The `display(df1, summary=true)` command provides a data profile that includes the detected `type` (data type) for each column in the DataFrame, which is crucial for understanding the data structure.

While statistical summaries often include minimum and maximum values for numerical columns, 'range' is not presented as a direct, labeled attribute name in the `display(..., summary=true)` output, unlike 'type', 'missing', or 'unique'.

The summary output includes statistics on `missing` values, showing both the count and percentage of nulls for each column, which helps in assessing data quality and completeness.

The `unique` attribute is returned in the summary, indicating the number and percentage of distinct values for each column, aiding in cardinality analysis and identifying potential keys.

'Ordinal' refers to a type of categorical data with a meaningful order; it is not a statistical attribute generated by the `display(..., summary=true)` command for data profiling.