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Qlik Sense Cheat Sheet

Qlik Sense Cheat Sheet

Back to Business Intelligence
Updated 2026-04-27
Next Topic: QlikView Cheat Sheet

Qlik Sense is a modern business intelligence and data analytics platform by Qlik that enables self-service visualization, exploration, and discovery through its associative analytics engine. Unlike traditional query-based BI tools, Qlik Sense reveals hidden insights by highlighting relationships across all data—showing not only what matches your selections but also what doesn't. The platform supports both guided analytics (pre-built apps and dashboards) and ad-hoc exploration, including AI-powered Insight Advisor for natural language queries, making it valuable for analysts, business users, and developers alike. Mastering set analysis, data modeling, scripting fundamentals, and the newer Window functions will unlock Qlik Sense's full analytical power across cloud and on-premises deployments.

What This Cheat Sheet Covers

This topic spans 21 focused tables and 232 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core Aggregation FunctionsTable 2: Set Analysis SyntaxTable 3: Date and Time FunctionsTable 4: String Manipulation FunctionsTable 5: Numeric and Formatting FunctionsTable 6: Load Script StatementsTable 7: Data Modeling TechniquesTable 8: Window Functions (Script)Table 9: Inter-Record FunctionsTable 10: Range FunctionsTable 11: Chart Visualization TypesTable 12: Variables and Dollar-Sign ExpansionTable 13: Conditional and Logical FunctionsTable 14: Ranking and Statistical FunctionsTable 15: Advanced Set Analysis TechniquesTable 16: Data Connection and Load OptimizationTable 17: Security and Data GovernanceTable 18: App Structure and CollaborationTable 19: Performance OptimizationTable 20: Color and Conditional FormattingTable 21: Qlik Sense Ecosystem and Deployment

Table 1: Core Aggregation Functions

FunctionExampleDescription
Sum
Sum(Sales)
Calculates the total of all values in the specified field or expression.
Count
Count(OrderID)
• Returns the number of values
• use Count(DISTINCT Field) to count unique values only.
Avg
Avg(Price)
Calculates the arithmetic mean of all values in the expression.
Min
Min(Date)
Returns the minimum value from the set of values.
Max
Max(Quantity)
Returns the maximum value from the set of values.
Only
Only(Region)
• Returns the field value if exactly one distinct value exists
• otherwise returns NULL—useful for dimensional aggregates.

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