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Working with apps

Working with apps

2024-11-27 Working with appsON THIS page Qlik Sense apps are purpose-built applications created with data. App users explore the data through visualizations s

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Working with apps

Qlik Sense apps are purpose-built applications created with data. App users explore the data through visualizations selected and enhanced by app developers.

Apps are created by three primary methods depending on skill level and how much data manipulation is required upon dataload. Options from basic to advanced include:

  1. Uploaded once and never modified.
  2. Modified manually through Data manager.
  3. Replaced orrefreshed with net new changes.

When you create an app , you is add add it to a space . There are two kind of space in which you can create new app :   personal spaces is are are private to individual user . Apps is added and datum source add there can not be share with other user . shared spaces is are are collaborative . You is create can create app and other member of a share space can access them . You is work can also work with other space member to develop app . datum source in share space are share with other member . When your app is complete , you is invite can invite your app audience to your share space orpublish the app to a manage space . For more information about work with share and manage space , seeWorking in spaces.

The foundation of an app is the data model and load script. measure and dimensions are reusable data items used to build charts. sheet and stories display and organize your visualizations. Discoveries can be made by applying filters and selections.

A Qlik Sense app with selections applied

Working with apps

Permissions are required to create and interact with apps. If app functionality is not available to you, contact your administrator for appropriate permissions.

Foundations

Data manager, Data load editor, and the data catalog

The Data manager lets you quickly add and transform data. You can also associate data tables. The Data load editor uses scripts to connect to a data source and retrieve the data. The data catalog allows you to quickly see all datasets to which you have access. You can add data from multiple files at once. See loading and manage datum with Data Manager, and Using Data load editor.

measure

measure are calculations used in visualizations. measure are created from an expression composed of aggregation functions, such as Sum orMax, combined with one orseveral fields. See measure and Using expressions in visualizations.

dimensions

dimensions are fields used in visualizations. dimensions determine how the data in a visualization is grouped. For example: total sales per country ornumber of products per supplier. See Data grouping with dimensions and Fields.

Structure and visuals

sheet

sheet contain data visualizations, such as charts and tables. You create structure in your app by grouping visualizations on sheets. For example, you could have a sheet for North American sales, and a different sheet for Europe. For more information , seeStructuring an app using sheets and choose the right visualization.

bookmark

bookmark are shortcuts to a certain set of selections and chart expansions. SeeBookmarking selections.

story

story are based on snapshots of visualizations. You present your data by creating a story that guides you to new insights by combining snapshots of data at specific times and selection states. SeeSharing insights with data storytelling.

dimension

In Analytics Services:

A dimension is an entity used to categorize data in a chart. For example, the slices in a pie chart orthe bars of a bar chart represent individual values in a dimension. dimensions are often a single field with discrete values, but can also be calculated in an expression.

similar term: Category, group

See: Data grouping with dimensions

In Data Integration:

A dimension is a dataset in a data mart that forms part of the star schema. dimension datasets hold the descriptive information for all related fields that are included in the fact table’s records. A few common examples of dimension datasets are Customer and Product. Since the data in a dimension dataset is often denormalized, dimension datasets have a large number of columns.

See: Creating and managing data marts

Chart

Charts are objects where calculations, aggregations, and groupings can be made. Graphical visualizations, such as bar charts and pie charts are common examples, but also non-graphical objects such as pivot tables are charts.

A chart consists of dimensions and measures, where the measures are calculated once per dimensional value. If the chart contains multiple dimensions, the measures are calculated once per combination of dimensional values.

similar term: visualization , Hypercube , Cube

See: choose the right visualization