Using the Minstring() function to calculate the age of the oldest case in a queue
by Ferran Garcia Pagans, Neeraj Kharpate, Philip Hand, James Richardson, Dr. Henric
Qlik Sense: Advanced Data Visualization for Your Organization
- Qlik Sense: Advanced Data Visualization for Your Organization
- Table of Contents
- Qlik Sense: Advanced Data Visualization for Your Organization
- Credits
- Preface
- 1. Module 1
- 1. Qlik Sense® and Data Discovery
- 2. Overview of a Qlik Sense® Application's Life Cycle
- 3. Empowering Next Generation Data Discovery Consumers
- 4. Contributing to Data Discovery
- 5. Authoring Engaging Applications
- 6. Building Qlik Sense® Data Models
- 7. Qlik Sense® Apps in the Cloud
- 8. Extending the Qlik® Analytic Platform
- 9. Administering Qlik Sense®
- 10. Sales Discovery
- 11. Human Resource Discovery
- 12. Travel Expense Discovery
- 13. Demographic Data Discovery
- 2. Module 2
- 1. Getting Started with the Data
- Introduction
- Extracting data from databases and data files
- Extracting data from Web Files
- Activating the Legacy Mode in Qlik Sense® desktop
- Extracting data from custom databases
- Invoking help while in the data load editor or the expression editor
- Previewing data in the Data model viewer
- Creating a Master Library from the Data model viewer
- Using a Master Library in the Edit mode
- 2. 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 ColorMix1 function
- Composition
- Relationships
- Comparison
- Distribution
- Structuring visualizations
- 3. Scripting
- Introduction
- Structuring the script
- Efficiently debugging the script
- Packaging the code in script files
- How to use sub routines 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
- 4. Managing Apps and 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 Sales versus Target gauge chart
- Effectively using the KPI object in Qlik Sense®
- Creating Tree Maps
- Creating dimensionless bar charts in Qlik Sense®
- Adding Reference Lines to trendline charts
- Creating text and images
- Applying limitations to charts
- Adding thumbnails – a clear environment
- Navigating many data points in a scatter chart
- 5. Useful Functions
- Introduction
- Using an extended interval match to handle Slowly Changing Dimensions
- Using the Previous() function to identify the latest record 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
- 6. 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 concat() function in Set Analysis
- Using the element functions P() and E() in Set Analysis
- 7. Extensions in Qlik Sense®
- 8. What's New in Version 2.1.1?
- Introduction
- Using the visual exploration capability in Qlik Sense® 2.1.1
- Defining variables in Qlik Sense®
- Exporting stories to MS PowerPoint
- Using the Qlik Dev Hub in Qlik Sense® 2.1.1
- Using Extension editor in Qlik Dev Hub
- Using Qlik Dev Hub to generate mashups
- Embedding Qlik Sense® application on a website using a single configurator
- Using the Qlik DataMarket
- Creating dynamic charts in Qlik Sense®
- Using Smart Search
- Using smart data load profiling
- Conclusion
- A. Appendix
- 1. Getting Started with the Data
- 3. Module 3
- 1. Getting Ready with Predictive Analytics
- 2. Preparing Your Data
- 3. Exploring and Understanding Your Data
- 4. Creating Your First Qlik Sense Application
- 5. Clustering and Other Unsupervised Learning Methods
- 6. Decision Trees and Other Supervised Learning Methods
- 7. Model Evaluation
- 8. Visualizations, Data Applications, Dashboards, and Data Storytelling
- 9. Developing a Complete Application
- A. Bibliography
- Index
Prev
Previous Chapter
Using the Concat() function to display a string of field values as a dimension
Support centers for any organization, log several customer cases during the day. These cases are sometimes tagged with a specific status such as contact, review, and so on. Each case goes through different statuses in the workflow until it reaches closed or sign off in the queue. The following example calculates the number of cases in each status of the workflow and then makes use of the Minstring() function to calculate the number of days passed since the oldest case logged for a particular status.
Load the following script which gives information on the cases logged at a debt collection agency:
LET vToday=num(today()); Case: LOAD CaseID ,DATE(Date#( DateLogged,'DD/MM/YYYY')) as DateLogged, Status INLINE [ CaseID,DateLogged,Status 101,01/01/2002,Advice 101,25/04/2002,Contact 101,21/06/2003,Creditors Meeting 101,24/06/2003,Draft Allocation 101,30/06/2003,Sign off 102,18/10/2009,Contact 102,28/10/2009,Advice 102,11/02/2010,Creditors Meeting 102,20/03/2010,Draft Allocation 102,30/06/2010,Review 103,11/02/2013,New Business 103,19/06/2013,Draft Allocation 104,30/06/2010,New Business 105,30/06/2010,Contact 105,11/02/2013,New Business 106,19/06/2013,Drafting 106,30/06/2010,Advice ];
- Drag the Table object onto the sheet from the Assets panel on the left. Name it
Oldest case in Queue (in days). - Add Status as the dimension.
- Next, add the following expression as the first measure and label it
Case Volume:Count(CaseID)
- Add the following expression as the second measure and label it
Oldest item in Queue (in Days):Num($(vToday)-(MinString({$<DateLogged=>} [DateLogged])),'#,##0') - Under Sorting, promote Status to the top.
- Under Appearance, click on Presentation and uncheck Totals.
- Click on
when finished. - The resulting table should look like the following screenshot. The figures you get for the Oldest Item in Queue table may be different, as the calculation is based on today's date, which will be different in your case:
Today's date is stored in a number format in the variable vToday(). The MinString() function finds the oldest value in the DateLogged field from the total number of cases for each status. Next, we take a difference between Today() and the minimum date for each status to get the number of days for the oldest case.
By making use of the Peek() and Previous() functions and using the correct sort order during load, we can determine the case volume for each change of status. For example, count of cases that went from advice to contact, contact to creditors meeting, and so on.
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.