Creating a flag field in the load script using ApplyMap() or a join is the most efficient and maintainable. It resolves the logic once during reload, stores a simple flag (1/0), and allows for easy, fast aggregation in charts. This is preferable to complex, calculation-heavy chart expressions or creating separate pre-aggregated fact tables for a simple status.

The issue is that the chart’s primary expression (the bar height) correctly responds to the selection due to its aggregation. However, the label expression is a separate, often default, property that simply shows Sum(Sales) without the same selection context. The fix is to edit the label expression to include the same Set Analysis or selection logic as the primary measure to ensure consistency.

The most common cause for a broken link between a fact and calendar table is a data type mismatch (e.g., one field is a true Date while the other is a String representation or a Timestamp). Qlik Sense will not automatically associate fields of different types. The first diagnostic step is to confirm the data types match in the Data model viewer or load script.

Creating a variable (e.g., vSalesMessage) with an expression like: If(Sum(Sales) > Above(Sum(Sales)), ‘Sales are up…’, ‘Sales have decreased…’) is the most maintainable. It centralizes the logic, keeps the text object expression simple (=vSalesMessage), and uses Above() which is designed for this type of inter-period comparison within a chart’s row context.

Qlik Sense has a dedicated ‘Mobile’ tab in the sheet properties. This allows you to design a completely different layout for the same sheet that is used when accessed from a mobile device. You can show/hide objects, rearrange them, and resize them independently of the desktop layout, providing optimal control for the mobile experience.

In a chart with a date dimension (e.g., Month), the Max(Date) inside the Set Analysis will be evaluated in the context of *that chart column*, not the global data set. For the latest month column, the Max(Date) is that month’s first day, and looking back 12 months from that point often results in a range where there is no data in the *same chart column*, causing a zero. The fix is to use a variable like vMaxDate = Max(Date) in the script or a master measure to get the global maximum.

The dedicated ‘Search’ object in Qlik Sense is designed precisely for this purpose. When placed on a sheet, it provides a single search box that queries across multiple fields defined in its properties. It’s a user-friendly and powerful way to implement global search without manual Set Analysis configuration.

A synthetic key is Qlik’s automatic way of handling ambiguous joins. The professional practice is to resolve it by creating an explicit link. This typically involves using a JOIN, KEEP, or CONCATENATE statement in the load script to logically combine the tables where ProductID is the common key, or ensuring the field only resides in one primary table and is linked correctly. This gives you full control over the model.

To color points by a *calculated property* of a related entity (Customer’s total sales decile), the most robust method is to pre-calculate this grouping in the load script. You can create a new field, e.g., CustomerSalesDecile, using a combination of Aggr() and Fractile() functions in the script logic. This field can then be used as a color dimension in the scatter plot, ensuring stable and performant coloring.

Creating a flag field in the load script using ApplyMap() or a join is the most efficient and maintainable. It resolves the logic once during reload, stores a simple flag (1/0), and allows for easy, fast aggregation in charts. This is preferable to complex, calculation-heavy chart expressions or creating separate pre-aggregated fact tables for a simple status.0