Concatenation feature in QlikView is used to append the rows from one table to another. It happens even when the tables have different number of columns. It differs from both Join and Keep command, as it does not merge the matching rows from two tables into one row.

Input Data

Let us consider the following two CSV data files, which are used as input for further illustrations. Please note the second data set has an additional column named Country.

SalesRegionOld.csv
ProductID,ProductCategory,Region,SaleAmount
1,Outdoor Recreation,Europe,4579
2,Clothing,Europe,4125
3,Costumes & Accessories,South Asia,6521
4,Athletics,South Asia,4125
5,Personal Care,Australia,5124
6,Arts & Entertainment,North AMerica,1245
7,Hardware,South America,456

SalesRegionNew.csv
ProductID,ProductCategory,Region,Country,SaleAmount
6,Arts & Entertainment,North AMerica,USA,1245
7,Hardware,South America,Brazil,456
8,Home & Garden,South America,Brazil,241
9,Food,South Asia,Singapore,1247
10,Home & Garden,South Asia,China,5462
11,Office Supplies,Australia,Australia,577

Load Script

We load the above input data using the script editor, which is invoked by pressing Control+E. Choose the option Table Files and browse for the Input file. Then we edit the commands in the script to apply the concatenation between the tables.

Concatenation and Master Calendar in QlikView

Next, we load the above data to QlikView’s memory and create a Table Box by using the menu Layout → New Sheet Objects → Table Box where we choose all the available fields to be displayed as shown below.

Concatenated Data

Completing above steps we get the Table box displayed as shown below. Please note the duplicate rows for the product ID 6 and 7. Concatenate does not eliminate the duplicates.

QlikView – Master Calendar

In QlikView, many times we need to create a calendar reference object, which can be linked to any data set present in QlikView’s memory. For example, you have a table that captures the sales amount and sales date but does not store the weekday or quarter, which corresponds to that date. In such a scenario, we create a Master Calendar which will supply the additional date fields like Quarter, Day etc. as required by any data set.

Input Data

Let us consider the following CSV data files, which are used as input for further illustrations.

SalesDate,SalesVolume
3/28/2012,3152
3/30/2012,2458
3/31/2012,4105
4/8/2012,6245
4/10/2012,5816
4/11/2012,3522

Load Script

We load the above input data using the script editor, which is invoked by pressing Control+E. Choose the option Table Files and browse for the Input file.

Next, we load the above data to QlikView’s memory and create a Table Box by using the menu Layout → New Sheet Objects → Table Box where we choose all the available fields to be displayed as shown below.

Create Master Calendar

Next, we create the Master Calendar by writing the following script in the script editor. Here we use the table DailySales as a resident table from which we capture the Maximum and Minimum dates. We load each of the dates within this range using the second load statement above the resident load. Finally, we have a third load statement, which extracts the year, quarter, month etc. from the SalesDate values.

Select Fields

After creation of the complete load script along with the master calendar, we create a table box to view the data using the menu Layout → New Sheet Objects → Table Box

Final Data

The final output shows the table showing the Quarter and Month values, which are created using the Sales data and Master Calendar.

So, this brings us to the end of blog. This Tecklearn ‘Concatenation and Master Calendar in QlikView’ blog helps you with commonly asked questions if you are looking out for a job in QlikView BI. If you wish to learn QlikView and build a career in Business Intelligence domain, then check out our interactive, QlikView Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

Qlik View Certification Training

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About the Course

Tecklearn’s QlikView Certification Training will help you become an expert in Data Visualization with QlikView. Learn all the basics and advanced features of QlikView such as data modelling, reports and dashboards, visualization, object formatting, system table etc. Along with this, you will be given hands-on working experience on real-time projects that will help you pass the QlikView certification exam. You also get hands-on experience in QlikView applications.

Why Should you take QlikView Training?

• The average annual pay for a QlikView Professional is $122,000. -PayScale.com.
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What you will Learn in this Course?

Introduction to QlikView

• Concept of Business Intelligence
• Features and components of QlikView
• Comparison with other BI tools
• Architecture
• Installation & Navigation
• QVS, QVW and .log files
• Sheet Objects
• Dimensions and Expressions
• Various file types and extensions

Various QlikView Products

• Overview of the various QlikView products

Introduction to Data and Scripting

• Structuring the Script
• Create tabs in the scripts, Debugging of scripts
• Hands On

Data Model

• QlikView Data File Types: QVD, QVX
• System fields
• Star schema
• Synthetic Key Tables
• Data Modelling Considerations
• Straight and Pivot Table
• Hands On

Components of Qlik View

• Sheets and Sheet Objects
• The List Box
• The Table Box
• The Multi Box
• The Button & Text Object
• Basic Charts
• Hands On

Set Analysis

• Set analysis
• Working with modifiers, identifiers, operators, example of expressions,
• Indirect set analysis
• YTD & MTD

QlikView Functions, Reports and Charts

• Uses of Expressions
• Chart Properties: Dimensions
• Qlikview Functions
• Adhoc Reports
• Incremental Load using QVD Files
• Bookmarks
• Hands On

Data Analysis

• What-if Analysis
• Comparative Analysis
• Dynamic Reporting or Ad-hoc Reporting
• Document Analyzer

QlikView Security

• QlikView security
• Defining the access controls and levels of access
• Maintaining the access control database

QlikView Administration

• QMC (QlikView Management Console)
• Server Installation & Deployment
• QlikView Project

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