
Explore set analysis in QlikView and Qlik Sense, uncovering the difference between expressions and functions and how curly-brace sets, rooted in set theory, define alternative selections for complex aggregations.
Mastering qlikview set analysis introduces fundamental set theory concepts, including sets of distinct objects, intersection, union, set difference, and symmetric difference, with examples and diagrams.
Explore how QlikView set operators work in set expressions, including union, intersection, exclusion, and symmetric difference, by combining current selections with bookmarks on city and year data.
Explore QlikView set analysis by solving challenges with bookmarks and current selections, applying union and minus operators to combine or exclude data for clear insights.
Explore two or more set modifiers in qlikview set analysis, showing the or condition, the and condition, order doesn't matter, and false conditions yielding zero, with year and country examples.
Tackle several challenges involving two or more set modifiers in QlikView set analysis to reinforce how multiple modifiers interact.
Build a QlikView pivot table with set analysis to show 1997 sales for Idaho, Washington, and Oregon, and demonstrate disregarding selections for London Q1 sales with category and product subtotals.
Explore QlikView set analysis with wildcards and set modifiers, using the dollar default set to show 1990s sales by category ending with s and dairy products by country containing a.
Explore nested expressions in set analysis, leveraging dollar sign expansion, outer and inner sets, and aggregation. See practical QlikView examples that control category filtering and string or numeric results.
Master set analysis with P() and E() to build pivot tables that aggregate sales for customers who buy produce but not seafood, and meat/poultry while excluding seafood by year.
Explore dollar sign expansion in QlikView set analysis, learn how to create variables, distinguish global versus per-dimension scopes, and reuse expressions across charts for efficient, maintainable code.
Learn to handle null values in QlikView set modifiers by excluding nulls with one minus dollar, using star in element sets, and applying possible values to identify non-null customers.
Explore alternate states in QlikView to group objects and isolate selections for comparative analysis, using the state name double colon syntax to reference fields across states.
Create a pivot table of salesperson, customer, and sales using set analysis with alternate states; chart in state a, salesperson in state b, customer in the default state.
Challenge 4.12: Exclusion operator
Create a Line chart that shows sales for all product categories except Condiments, Confections, Grains and Cereals.
Even if user selects any of those categories, it should be excluded
Hint: Use -= operator.
Learn to use QlikView set analysis to compare ship date and order date, listing orders shipped within seven days of order placement, with order ID, product, dates, and sales.
Discover how the first sorted value function returns the associated value after sorting data, using set expressions, rank, and a minus sign to fetch highest or specific ranked results.
Are you afraid of using one of the most power QlikView or Qlik Sense functionalities, Set Analysis, to build powerful QlikView or Qlik Sense applications because its syntax is daunting? You are not alone!
This course will teach you step-by-step to master Set Analysis so that you can start writing advanced aggregation expressions in QlikView and Qlik Sense with ease!
You will learn basics of Set Analysis first and then dive into advanced Set Analysis concepts to leverage this powerful advanced aggregation functionality in your QlikView or Qlik Sense application.