In a data load script, various operations are performed that script statements and keywords are required. The script code should be written in such a format or notation which is correct and readable for the machine. The script statements are executed consecutively if the code syntax is error free. you want to always remember to finish a script statement or each code line with a semicolon ‘;’ The operations performed through a script are, establishing a knowledge connection, loading a knowledge table, loading field names, and values, etc.

A certain initial piece of code is generated upon creating of a replacement file, fixing all the essential properties like number interpretation variables, formats etc. the 2 main keywords used for loading data are LOAD and choose . Under the LOAD statement, you’ll use expressions and functions to control data as you wish.

What is Backus-Naur Formalism?

Backus-Naur Form may be a metalanguage. Metalanguages are the languages which are wont to explain other natural or computer languages. Any metalanguage follows a selected notation technique or meta syntax through which rules of a language are defined and explained. within the world of computing, there are several widely used metalanguages are Backus-Naur Form (BNF), Extended Backus-Naur Form (EBNF), Augmented Backus-Naur Form (ABNF).

Formulating a language for computers during a well-defined and formatted structure is extremely important for the language to be properly converted into a machine language during execution.

Let’s discuss Qlik Sense Mapping function
The Backus-Naur Form is meant during a specific way with a group of derivation rules expressed as,

1. ::= __expression__

Every BNF statement follows this rule, where the Symbol may be a value defined using ‘::=’ sign and therefore the __expression__ are the possible and valid variables which will haunted for the defined value. allow us to understand this by dividing the above statement into a right half and a left half. the proper half features a Non-terminal value and therefore the left half has Terminal values.

a. Non-Terminals – The Non-terminals are syntactic or lexical entities that are wont to define a logo to be utilized in a language abiding the formal grammar rules. These are always enclosed in .

b. Terminals – The Terminals are symbols/values that are the probable outcomes of the defined (non-terminal entity/symbol) as per the rule. These values aren’t vulnerable to change by the rule.

In an expression, let’s suppose that we are defining an entity then on the proper side of the expression are going to be all the terminal values i.e. the possible values which will be haunted by the system as Digits like 0,1,2,3.. etc.

Script Syntax – Backus Naur Formalism

The values or symbol sequences defined on the proper are separated by “|”, just in case of quite one values. A Non-Terminal also can be defined in or replaced by one or more Non-Terminals on the proper side. as an example , if after defining we would like to define we will roll in the hay by creating a rule in order that integer is replaced by one or more digits.

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1. ::= |
Here, both and are Non-Terminals and can give an output like,
1. ::= 5
2. ::= 86

Script Statements and Keywords

The script statements and keywords are the words or characters whose purpose or operation is pre-defined within the script. there’s a complete of three sorts of script statements, i.e. script regular statements, script control statements, and script prefixes.

a. The script regular statements are wont to manipulate data in some general ways. you’ll apply these statements over numerous code lines. you want to always end a script regular statement with a semicolon ‘;’. Given below, are all the script regular functions utilized in Qlik Sense script.

• Alias
• AutoNumber
• Binary
• Comment field
• Comment table
• Connect
• Declare
• Derive
• Direct Query
• Directory
• Disconnect
• Drop field
• Drop table
• Execute
• FlushLog
• Force
• Load
• Let
• Loosen Table
• Map
• NullAsNull
• NullAsValue
• Qualify
• Rem
• Rename field
• Rename table
• Search
• Section
• Select
• Set
• Sleep
• SQL
• SQLColumns
• SQLTables
• SQLTypes
• Star
• Store
• Tag
• Trace
• Unmap
• Unqualify
• Untag

b. The script control statements are liable for managing the execution flow of the script statement. That is, they decide which statement to execute before the opposite . Such statements should be kept under a script line and be eliminated using the semicolon or end-of-line. Given below are a number of the commonly used script control statements in Qlik Sense.

Recommended Reading – Qlik Sense Line Chart

• Call
• Do..loop
• Exit script
• For..next
• For each..next
• If..then..elseif..else..end if
• Sub..end sub
• Switch..case..default..end switch

c. The script prefixes are used before script statements. Although these prefixes can only be used with script regular statements and as a suffix (when and unless) for a few control statements. Given below are the prefixes utilized in Qlik Sense script statements.

• Add
• Buffer
• Concatenate
• Crosstable
• First
• Generic
• Hierarchy
• HierarchyBelongsTo
• Inner
• IntervalMatch
• Join
• Keep
• Left
• Mapping
• NoConcatenate
• Outer
• Replace
• Right
• Sample
• Semantic
• Unless
• When

Variables in Data Load Editor

The variables are like storage places or containers for numeric, alphanumeric or string values. A variable is defined within the beginning and may change its value accordingly which can reflect altogether the places where that variable is employed within the script. The variables are defined either within the variable overview section or within the script within the data load editor. you’ll define a variable and assign a worth thereto using the Let and Set statements within the data load script.

You must read Qlik Sense Conditional Functions

Whenever you assign a worth to a variable, then upon script execution, that value is shown as a outcome . But, if you employ a ‘=’ sign, then the worth of the variable is evaluated as an expression and therefore the results of evaluation is returned. Variable values are evaluated under a formula and a result’s returned. Variables are used once you want to use an equivalent value or an equivalent sort of string or text repeatedly within a string, for instance , you’ll store a file path during a variable and use it later anywhere within the string.

i. Defining a variable
1. set variablename = string
A variable is defined by using two statements Set and Let.
1. set variablename = string

That is, set is employed to assign a string value to a variable. for instance ,

1. Set name = Chris;
2. or
3. let variable = expression

Let is employed to assign a numeric value or a worth which may be utilized in calculations to a variable. for instance ,
let Days = Count(Today()); // returns the entire number of entries wiped out the sector ‘Today’ and assign the worth within the variable Day.

ii. Variable calculation
The variable calculation takes place once you define variables using the Let statement and therefore the functions you employ within the statements. to know it better, check out the sample data given below. Using this data, we’ll perform calculations.

1. LOAD * INLINE [
2. Customer, Sales
3. A, 150
4. A, 200
5. B, 240
6. B, 230
7. C, 410
8. C, 330
9. ];

Now, we’ll calculate two various things here, one will calculate the sum of the sales as per customer, i.e. individually for patrons A, B, and C. The second statement will evaluate the entire sales of all the purchasers .

1. Let cSales = ‘Sum(Sales)’ ;
2. Let tSales = ‘=Sum(Sales)’ ;

You must read – Qlik Sense Mathematical Functions

In order to urge the results of the evaluation within the table, we’ll use dollar signs ahead of every Sum(Sales) statement like =$(cSales) and =$(tSales). By doing so, the variable is calculated then expanded, and therefore the results of the evaluation is return. If you are doing not use the dollar sign, then only strings are going to be returned by the statement.

Customer $(cSales) $(tSales)

A 350 1560
B 470 1560
C 740 1560

If you would like to delete a variable, then you’ll do so by deleting it from the variable overview.

Qlik Sense Script Expressions

The script expressions are a bit of code which contains a mixture of functions, fields, and operators written within the standard notation or syntax. During script execution, the weather of the script expression are evaluated, and therefore the result which is returned as a string or number. If the script expression contains a logical function, then the result are going to be 0 for False, or -1 for True.

Where, constant are often a string or variety enclosed in single quotation marks. The string are often text, date or time, whereas, variety are often n digits long, but it must not be separated by a decimal or thousands separator.

Fieldref is that the field name of the table which will be loaded.
Operator1 may be a unary operator which can work on the expression to its right.
Operator2 may be a binary operator which works on the expressions on both the edges .

1. function ::= functionname( parameters
2. parameters ::= expression { , expression }
Nesting of functions and expressions are often done freely as long because it doesn’t leave of the comprehension of the system’s logic.

Box plot in Qlik Sense

We use a box plot to point out the distribution of a grouped data set employing a whisker’s box plot. Each value point on the box plot are going to be a whisker’s bar plot.

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Box Plot in Qlik Sense

The whisker’s and box symbol are often weakened into components as marked within the image above.

1. the primary whisker marking the lowest/minimum value of the range or distribution.
2. Box start, which marks the primary quartile.
3. Centerline, or median of the info distribution. it’s the middle of the box and also the second quartile.
4. Box end, marking the third quartile.
5. Last whisker, marking the utmost or highest value of the range.

Box plots are the simplest thanks to analyze an outsized amount of knowledge with such small representation symbols as whiskers and boxes. you’ll set presets for creating and analyzing data during a box plots, like for median, for percentile, or for normal deviation. Notice the box plot given within the image below.

Qlik Sense Box Plot

It represents the info distribution for temperature recorded yearly in Sweden. The given box plot shows the distribution of average temperatures recorded for distinct years. It are often inferred from the plot that the year 2010 has the foremost widely ranging distribution of temperatures. Also, the typical temperature for every year are going to be the worth like the central line of every plot. The blue dots are the outlier values which don’t fall within the distribution range of whisker’s plot.

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Creating a Box Plot Chart

Follow the steps given below to find out the way to create a box plot in Qlik Sense.

Step 1: Select the choice Box plot from the assets panel of the sheet that you simply are editing. Drag and drop the box plot onto the editing grid. you’ll see an incomplete box plot created on the grid.

Box plot Chart in Assets Panel

Step 2: Now it’s time to feature dimensions and measure for the plot. you’ll add up to 2 dimensions and one measure during a box plot. The order during which you add a measure matters tons . the primary dimension that you simply add defines the box. The second dimension defines the Y-axis whereas, the measure defines the values and ranges of the X-axis. After adding dimensions and measure, you’ll use more settings options to customize the box plot as you wish from the properties panel which we’ll discuss intimately within the next section. The default preset for a box pot is about on Standard(Tukey). you’ll change it from the Preset option if you would like to.

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Step 3: Once you’ve got created the box plot as per your liking, click on Done to exit the editor and attend the sheet view. the ultimate box plot displays on the sheet.

Sheet View – Final Box Plot

In the box plot shown above, the distribution of values is for total products sold in each country. the primary dimension we utilized in this box plot was Product type, then Y-axis dimension was ‘Country’, and for X-axis it had been ‘Sum(Product Quantity)’labeled as ‘Total sold products’. a typical box plot for every country is represented which shown the utmost and minimum values, third and first quartile and therefore the median . you would possibly have noticed, the box plot for Australia isn’t properly created because there have been too few values for them to form a good distribution range.

Properties Panel in Box Plot in Qlik Sense

All the settings and customization of the box plot is completed using the properties panel.

a. Data
From the info section, we will manage all the size and measures. you’ll add the box and Y-axis dimension, add an expression or label to them. Next, you’ll also add an X-axis measure field. No aggregation is added by default. If you would like to feature an aggregation function, then you’ll need to roll in the hay from this section.

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Data in Qlik Sense Box Plot

b. Box Plot elements

From the box plot elements section, you get to line the preset type from the three options of ordinary (Tukey), Percentile based, and variance

Box Plot Elements

• The Standard (Tukey) preset is that the basic standard preset introduced by J. Tukey (hence the name). This preset features a box whose start and end are the primary and therefore the third quartile, and therefore the central line is that the median. The whisker marks show the minimum and maximum values. The whisker’s length corresponds to the inter-quartile range and may be set at 1, 1.5 or 2.

Let’s revise Qlik Sense chart

• The Percentile-based preset sets the whisker’s length consistent with the percentile settings that you simply make from 1st/99th percentile, 5th/95th percentile or 10th/90th percentile. These set the 2 ranges min and max for the 2 ends/ticks of the whisker. The box start and end points represent first and third quartile whereas the middle or midline represents the median.

• The variance preset follows the quality deviation logic and therefore the whisker’s and box represents an equivalent . The central line represents the typical value, where the box start and end represents one variation of ordinary deviation. The whiskers length are often decided by different variances like One variance , two standard deviations or three standard deviations.

c. Sorting

From this section, you’ll set a sorting criterion for the box plot. you’ll sort by the expression, sort numerically and type alphabetically. we will configure all the three sort criterions individually either in ascending or descending order.

Sorting in Box Plot

Have a glance at Qlik Sense Counter Functions

d. Add-ons
The Add-ons section allows you to line a condition which evaluates to be true displays the box plot. Also, using the Add reference line option you’ll add a regard to the box plot.

Add-ons in Box Plot

e. Appearance

The appearance load with options to customize the looks of the box plot. There are five sub-sections of the looks section dedicated to line up different elements of box plot visuals.

i. General
From this section, we will enable the titles and descriptions to point out on the box plot. you’ll enter titles, footnotes etc. within the editing space given.

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Appearance in Box Plot

ii. Presentation

You can choose the orientation of the box plots, show/hide the whisker tickers and adjust the grid line spacing as you wish .
Have a glance at Qlik Sense Counter Functions

Box Plot Presentation in Qlik Sense

iii. Colors

You can select the box and outlier colors from this section. you’ll choose the coloring criterion as one color or color by expression.

Colors in Box Plot

Let’s revise Qlik Sense Line Chart

iv. X-axis: (Measure)

You can set the labels, titles, position, scale, and range of X-axis which shows the measure values that you simply have selected.

The x-axis in Box Plot

v. Y-axis: (Dimensions)

From this section, we will set the labels and position of the axis for the Y-axis which represents dimensions.

Y-axis in Box Plot

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

Qlik Sense Certification Training

Qlik Sense Certification Training

About the Course

Qlik Sense is a revolutionary Business Analytics tool to come from the Qlik stables. It provides powerful self-service analytics that are readily deployable through interactive and personalized dashboards, data visualization techniques and insightful reports. By the end of this Qlik Sense online training, you will be able to perform key skills of the self-service BI tool – Qlik Sense, such as self-service analytics, write data load scripts, data discovery, create dashboards, develop and share apps, create reports, and design and build data visualizations. All these skills will enable you to clear the Qlik Sense certification exam.

Why should you take Qlik Sense Training?

• The average annual pay for a Qlik Sense Professional is $101,871. -Indeed.com.
• HSBC, Alstom, Chrysler, Citibank, Accenture and many other MNC’s worldwide use Qlik Sense BI and it has a market share of around 5% globally.
• By the end of 2020, the market is expected to touch USD 22.8 billion as modern BI and analytics continue to expand more rapidly, Gartner said in a report.

What you will Learn in this Course?

Introduction and Installation of Qlik Sense

• Need for self-service Business Intelligence/Business Analytics
• Installation of Qlik Sense and Qlik Sense Desktop

Qlik Sense Features

• Qlik Data indexing engine
• Data dimensions relationships
• Types of Data Loading
• Types of Concatenation

Data Modelling

• Qlik Sense data architecture
• Understanding QVD layer
• Converting QlikView files to Qlik Sense files
• Incremental Load
• Scripting
• Create Master Calendar

Advance Data Modelling

• Qualify and unqualify
• Joins
• Keep
• Cross Table
• Let Vs Set
• Calendar Table Creation

Qlik Sense Enterprise

• Various Functions
• Create QVD Files
• Read Data for QVD Files
• Create QVD’s
• Create Tier 2 Qlik Sense App

Data Visualization

• Expressions
• Variables
• Extensions
• Data Visualization

Set Analysis

• Set analysis in Qlik Sense
• Use set expression like identifiers, operators, modifiers and comparative analysis

Advance Set Analysis

• Deploy comparison sets and perform point-in-time analysis

Qlik Sense Storytelling

• Storytelling feature of Qlik Sense
• Create a story and playback the story

Qlik Sense Visualization

• Qlik Sense Charts
• Advanced Charts
• Creating Dashboards
• Real Life Examples

Security

• Security aspects of Qlik Sense
• Security rules

Got a question for us? Please mention it in the comments section and we will get back to you.

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