Time parting takes the timestamp of collected events and breaks it into more meaningful dimensions, such as “Hour of Day” or “Day of Week”.
Time-parting dimensions are based on the time zone of the data view. These dimensions are available in Analysis Workspace and can help to answer the following questions:
|Hour of Day||0-23|
|Day of Week||Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday|
|Day of Month||1-31|
|Month of Year||January-December|
|Day of Year||1-366|
|Quarter of Year||Q1, Q2, Q3, Q4|