For this exercise, we will make use of two sample XLSX files, namely, Apr2015.xlsx and May2015.xlsx, that contain mock sales data for six countries. These files can be downloaded from the Packt Publishing website.
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Getting Started with the Data
- Introduction
- Extracting data from databases and data files
- Extracting data from web files
- Extracting data from the FTP server
- Extracting data from web services with REST Connector
- Activating the legacy mode in Qlik Sense® desktop
- Previewing data in the Data model viewer
- Creating a master library from the Data model viewer
- Using a master library in Edit mode
- Using visual data preparation on the data manager model viewer
- Visualizations
- Introduction
- Creating snapshots
- Creating and adding content to a story
- Adding embedded sheets to the story
- Highlighting the performance measure in a bar chart
- Associating persistent colors to field values using the script
- Using the colormix1 function
- Composition
- Relationships
- Comparison
- Distribution
- Structuring visualizations
- Measuring statistical data with box plot charts
- Using a waterfall chart to analyze the cumulative effect
- Scripting
- Introduction
- Structuring the script
- Efficiently debugging the script
- Packaging the code in script files
- How to use subroutines in Qlik Sense®
- Optimizing the UI calculation speed
- Optimizing the reload time of the application
- Using a For each loop to load data from multiple files
- Using the Concat() function to store multiple field values in a single cell
- Executing command-line programs within the script
- Managing Apps and the User Interface
- Introduction
- Publishing a Qlik Sense® application created in Qlik Sense® Desktop
- Creating private, approved, and community sheets
- Publishing a Qlik Sense® application to Qlik Sense® Cloud
- Creating geo maps in Qlik Sense®
- Reference lines in a Sales versus Target gauge chart
- Effectively using the KPI object in Qlik Sense®
- Creating treemaps
- Creating dimensionless bar charts in Qlik Sense®
- Adding reference lines to trendline charts
- Creating text and images
- Applying limitations to charts
- Adding thumbnails to a clear environment
- Navigating many data points in a scatter chart
- Using alternative dimensions and measures
- Using the visual exploration menu
- Useful Functions
- Introduction
- Using an extended interval match to handle slowly changing dimensions
- Using the Previous() function to identify the latest record read for a dimensional value
- Using the NetworkDays() function to calculate the working days in a calendar month
- Using the Concat() function to display a string of field values as a dimension
- Using the Minstring() function to calculate the age of the oldest case in a queue
- Using the RangeSum() function to plot cumulative figures in trendline charts
- Using the Fractile() function to generate quartiles
- Using the FirstSortedValue() function to identify the median in a quartile range
- Using the Declare and Derive functions to generate Calendar fields
- Setting up a moving annual total figure
- Using the For Each loop to extract files from a folder
- Using the Peek() function to create a currency exchange rate calendar
- Using the Peek() function to create a trial balance sheet
- Using the subfield() function to split field into multiple records
- Using the dual() function to set the sort order of dimensions
- Set Analysis
- Introduction
- Cracking the syntax for Set Analysis
- Using flags in Set Analysis
- Using the = sign with variables in Set Analysis
- Point in Time using Set Analysis
- Using comparison sets in Set Analysis
- Using embedded functions in Set Analysis
- Creating a multi-measure expression in Set Analysis
- Using search strings inside a set modifier
- Capturing a list of field values using a Cconcat() function in Set Analysis
- Using the element functions P() and E() in Set Analysis
- Using the intersection between sets for Basket Analysis
- Using alternate states
- Using Extensions in Qlik Sense
- Advanced Aggregation with AGGR
- Tips and Tricks
- Other Books You May Enjoy
Getting ready
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