Why Useful: Reduces time and skill needed to bring data into a single chart to view disparate data sources comparing results in single chart. (Allows business users to self service)
Examples:
Sale Table vs. Inventory Table
Customer Visits Table vs Sales Table
Staffing Table vs. Call Center SLA Table
Who Benefits: Business Analysts performing initial data discovery, business users who want a single chart with multiple data sources.
How: For a Mixed-Time-Series Chart, in Query B, the user could decide to use the same dataset as Query A or Choose a different dataset. The data should display in the chart with both having a date x-axis, the Primary Y Axis aligning to Query A, and the Secondary Y Axis aligning to Query B.
Future would be to add n additional queries to the chart (Query C, Query D, etc.)
Could also allow publicly available data to be layered with business data.
i.e. Average Monthly Gas Prices (Dataset 1) && Average Monthly Value/transaction (Dataset 2)
(https://data.bls.gov/timeseries/APU000074714 - data would need added to data warehouse)
Both using the same x Axis with different Y axis price ranges which could then use Primary vs secondary axis - or better yet, auto-detect the Y axis range per dataset using MIN and MAX to fit the data into the chart window.