QlikView is an analytics platform designed to deliver business intelligence, data visualization, and analytics solutions. It is a powerful and easy-to-use tool that enables organizations to quickly and easily explore their data and gain insights.
QlikView works by connecting to a data source, such as a database, and then creating an interactive dashboard to visualize the data. Users can then manipulate the data in the dashboard and use it to gain insights.
QlikView is an ideal platform for business intelligence and data visualization projects. It is easy to use, powerful, and allows users to quickly explore their data and gain valuable insights. With its drag-and-drop interface and intuitive features, QlikView is a great choice for users of all levels.
If you’re new to QlikView, the best way to get started is to take a tutorial. Tutorials can help you understand the basics of QlikView, such as how to connect to a data source, create a dashboard, and manipulate the data. Tutorials can also provide tips and tricks to help you get the most out of QlikView.
Audience
This QlikView tutorial is intended for anyone who wants to learn QlikView. It is suitable for beginners, intermediate and advanced users. It is designed to help business users understand the basics of QlikView and how they can use it to their advantage. It will also help experienced developers understand the more advanced features of QlikView.
Prerequisites
There are no specific prerequisites for taking a QlikView tutorial. However, it is recommended that users have some familiarity with database concepts and SQL. Additionally, a basic understanding of data analytics and familiarity with business intelligence concepts will be helpful.
QlikView – Overview
QlikView is an analytics platform from Qlik that enables users to explore, discover and share insights with others in their organization. The platform is designed to simplify data exploration, provide users with a visual way to see patterns and relationships in their data, and quickly make decisions. It provides sophisticated analytics tools and a powerful engine to enable rapid analysis. It also supports a range of data sources, including relational databases, Hadoop, cloud databases, and more. With QlikView, users can quickly create interactive dashboards and reports, create data visualizations, and collaborate on data analysis. QlikView also includes a range of advanced analytics tools, including predictive analytics and machine learning.
Features of QlikView
1. Drag and Drop Interface: QlikView offers easy-to-use drag and drop interface that allows users to quickly explore data and create visualizations.
2. Automated Data Modeling: QlikView automatically builds data models based on the data source and provides users with a complete picture of their data.
3. Multi-Platform Support: QlikView supports a wide range of platforms, including Windows, Mac, iOS, Android, and web-based applications.
4. Flexible Data Loading: QlikView allows users to load data from multiple sources, including databases, spreadsheets, and text files.
5. Fast Reporting and Analysis: QlikView provides fast and accurate reporting and analysis capabilities, allowing users to quickly gain insights from their data.
6. Scalability: QlikView is highly scalable and can be used to support large data sets and multiple users.
7. Security: QlikView includes advanced security measures, including user authentication and data encryption, to ensure the highest level of data security.
QlikView – Installation
QlikView is a data visualization and business intelligence software that allows users to develop interactive data visualizations. It can be used to explore and analyze data from multiple sources. The installation process for QlikView is relatively simple, and involves downloading the software from the Qlik website and following the installation instructions. Once installed, the application can be used to connect to data sources and create data visualizations.
Steps of QlikView installation
1. Download the QlikView software from the official website.
2. Install the software by following the on-screen instructions.
3. Accept the license agreement and select the installation directory.
4. Select the components to install and click “Install”.
5. Restart your computer after installation is complete.
6. Register your QlikView license if you have one.
7. Launch the QlikView application and start using it.
QlikView – Architecture
QlikView is a business intelligence platform that provides users with an extensive range of features and capabilities to help analyze and visualize data in a meaningful way.
QlikView’s architecture consists of four layers: the server layer, the application layer, the data layer, and the user interface layer.
The server layer is made up of the QlikView Server and the QlikView Publisher. The server layer provides the user with secure access to the QlikView applications, as well as the ability to distribute and manage applications.
The application layer is made up of the QlikView objects, which are the components used to create the user interface. These objects include charts, tables, and dashboards.
The data layer is made up of the data sources. This layer is responsible for providing the data that will be used in the QlikView applications. This data can come from a variety of sources such as databases, spreadsheets, and text files.
The user interface layer is made up of the QlikView interface, which enables users to interact with the application. This layer also includes the QlikView script language, which is used to create the application logic.
All of these components are connected together to form the QlikView architecture. This architecture allows for flexible and powerful analysis of data and provides users with an easy-to-use interface for developing and managing their applications.
QlikView Architectural Overview
QlikView is a business intelligence platform that combines data from multiple sources into a single, unified view. It provides a comprehensive set of capabilities to support the full data-driven decision-making process from data integration, to analysis, to visualization.
QlikView’s architecture is based on the concept of an associative data model. An associative model allows users to access data from different sources and make connections between them. QlikView also has a powerful analytics engine that allows for advanced analysis and visualization of data.
At the core of QlikView’s architecture is the QlikView Server, which provides the foundation for the platform. It is responsible for data integration, data management, and performance optimization. The QlikView Server is connected to the QlikView Client, which provides a graphical user interface (GUI) to access the data and create visualizations.
The QlikView Server is responsible for processing queries, managing and optimizing the data, and providing access to the data. It also provides support for advanced analytics, such as predictive analytics and machine learning.
The QlikView Server is connected to a variety of different data sources including databases, flat files, and web services. QlikView has a powerful ETL (extract, transform, and load) engine that can extract data from multiple sources and transform it into a unified data model.
QlikView also has a powerful data visualization engine that allows for the creation and customization of visualizations. It supports a wide range of visualization types, including charts, maps, and more.
Finally, QlikView provides a comprehensive set of APIs (Application Programming Interfaces) which allow developers to extend the platform and build custom applications. This allows developers to create custom applications that integrate with the QlikView platform and leverage its powerful data analytics capabilities.
QlikView – Navigation
QlikView navigation refers to the various ways that a user can move around the QlikView application. The most common navigation tools are the left-hand navigation pane, the tabs at the top of the screen, the search bar, and the back and forward buttons.
The left-hand navigation pane contains a list of all available sheets and objects in the application. By selecting an item in the navigation pane, the associated sheet or object will be displayed in the main window.
The tabs at the top of the screen allow users to switch between different sections of the application. For example, the Data tab displays a list of all data sources available in the application, while the Dashboard tab displays a list of all available dashboards. This makes it easy for users to quickly switch between different sections of the application.
The search bar located at the top of the screen provides users with the ability to quickly search for sheets and objects within the application. This is especially useful for large applications with many sheets and objects.
The back and forward buttons allow users to move back and forth within the application. This is especially useful when viewing long sheets or large objects, such as charts or maps. This makes it easier for users to quickly jump back and forth within the application without having to scroll up or down.
Let us know about the basic navigation and know the different functions performed by the icons available in QlikView.
QlikView’s navigation icons help users find and access the data they need quickly and easily.
The Back icon allows users to go back to the previous page.
The Home icon returns the user to the home page.
The Search icon enables users to search for specific information.
The Bookmark icon lets users save their current view for quick access later.
The Help icon provides access to the QlikView help and support page.
The Print icon allows users to print the current page.
The Refresh icon allows users to refresh the page and reload the data.
The Expand icon allows users to expand the current view.
The Collapse icon allows users to collapse the current view.
The Zoom In icon allows users to zoom in on a particular part of the page.
The Zoom Out icon allows users to zoom out on a particular part of the page.
QlikView – Excel Files
QlikView can connect to Excel files, but there are some considerations to take into account when using them. Excel files must first be saved in a supported format, such as .xlsx or .xls, before they can be used in QlikView. Additionally, Excel files can only be used with QlikView Desktop, as QlikView Server does not support Excel connections.
When connecting to an Excel file, QlikView will automatically detect the data type of each field and assign the correct data type. It is also possible to customize the data model of an Excel file in QlikView, by adding fields and changing the type of each field.
If an Excel file is regularly updated, it can be set to reload automatically in QlikView. This will ensure that the most up-to-date version of the file is always used in QlikView. However, it is important to note that if an Excel file is updated regularly, then it is best to save the file in an supported format, as QlikView will only recognize changes when the file is saved in the correct format.
QlikView – Delimited File
If you are looking to use a Delimited File in QlikView, you can do so by selecting the Delimited File from the Select Data Source dialog box. From there, you can select the file you want to use, and then set up the delimiters, field names, and other settings. Once the settings are configured, you can then load the data into QlikView and start working with it.
QlikView – Web File
QlikView is a business intelligence software suite for data visualization. It is used for creating and managing self-service analytics applications and dashboards. QlikView Web File is a web-based file sharing system created by QlikView that allows businesses to securely share files with remote users. The system allows users to upload, download, and share files with colleagues, customers, and partners. It also provides an easy-to-use drag-and-drop interface, allowing users to quickly and easily upload and share files. With QlikView Web File, users can securely share files within their organization or with external stakeholders. It also provides a secure, cloud-based environment for businesses to store and share files.
QlikView – XML File
QlikView is a business intelligence software that allows users to create interactive dashboards and reports. It is a powerful and easy to use tool that helps users make sense of their data. One of the key features of QlikView is its ability to read and load data from a variety of sources, including XML files. XML files are used to store and transport data, and they can be imported into QlikView to create dashboards, reports, and visuals.
The first step in importing an XML file into QlikView is to open the file in the Data Load Editor and select the appropriate XML file type from the list of available data sources. Then, the user selects the columns that should be imported into QlikView. Each column can be given a name, and the data type for the column must be specified. Once the columns have been selected, the user can map the data from the XML file to the corresponding fields in QlikView. Finally, the user can click the “Load” button to start the importing process.
QlikView can be used to create powerful and insightful visuals from XML files. The data can be filtered, sorted, and grouped to create meaningful visuals. Additionally, multiple XML files can be combined in QlikView to create even more powerful visuals. By taking advantage of all the features and capabilities of QlikView, users can easily turn their XML data into actionable insights.
QlikView – Database Connection
QlikView can be used to connect to a variety of databases, including MySQL, Oracle, Microsoft SQL Server, PostgreSQL, and more. It also allows for direct connections to data sources, such as text files, Excel spreadsheets, and ODBC data sources. Additionally, QlikView allows users to create a custom connection to a database or other data source, using the QlikView Data Connection Wizard.
Connecting to the Database
QlikView can connect to databases using the QlikView ODBC Connector or the QlikView OLEDB Connector. To connect to a database, open the QlikView script editor and select the connection type from the drop down menu. Enter the connection details for the database such as the server name, database name, username and password. Once the connection is established, you can write SQL statements to query the database and load the data into QlikView.
Verifying Connection to Database
In order to verify a connection to a database in QlikView, it is necessary to open the QlikView script editor and run a simple statement. This statement should be of the form “Connect to <database_name>;”, replacing the <database_name> placeholder with the actual name of the database. After running the statement, the results of the connection should be displayed in the script editor. If the connection was successful, the script editor should display a message indicating the connection was successful. If the connection was unsuccessful, the script editor should display an error message indicating what went wrong.
Select Database Table
In QlikView, you can connect to a database table by using the “Connect” or “Create New Connection” option from the File menu. Once you have established a connection, you can then select the table you want to use from the list of tables in the database.
Table Loader Script
LOAD
[Field1],
[Field2],
[Field3],
[Field4]
FROM
[DataSource.xlsx]
(ooxml, embedded labels, table is Sheet1);
Showing the Result in qvd File
QlikView can store the data in a QVD file. A QVD file is a text-based file format used to store data in a structured way. The QVD file format is optimised for use in QlikView applications. To store the result of a query in a QVD file, use the following syntax:
STORE result_name INTO ‘result_name.qvd’ (qvd);
The data stored in the QVD file can then be used in a QlikView application for further analysis.
Using the qvd File
To use the qvd file, you can use the QlikView Script Editor to load the data into the application. You can use the following script to load the data from the qvd file:
LOAD *
FROM [<Path to qvd file>\myqvd.qvd] (qvd);
QlikView – Inline Data
QlikView allows you to input data directly into the application. This type of data is referred to as inline data. Inline data is useful for creating small data sets that can be used for testing or for creating prototypes. Inline data is stored in the application itself and is not stored in any external file.
Inline data is created using the statement “LOAD * INLINE”. Within the statement, you can define the fields of the data set and the data itself. For example, the following statement creates a data set with two fields, Name and Age:
LOAD * INLINE [
Name, Age
John, 23
Jane, 25
];
Using inline data can be a great way of quickly creating a data set to test out a concept or an idea. It can also be used to quickly prototype a solution without having to worry about the data being stored in a file.
QlikView – Resident Load
A resident load is a type of data load in QlikView which is used to import data from a source data file and load it into the QlikView application’s memory. The resident load is written in the script and is usually used when a data source is small in size and can be easily loaded into the application. The resident load is used to store data in the internal memory of a QlikView application and can be accessed directly from the application’s interface. The data that is loaded into the resident load is available only to the current application and cannot be shared with other applications.
QlikView – Preceding Load
Preceding Load is a type of data loading in QlikView which allows users to take data from one table and add it to another table. This is done by writing a script at the beginning of the data loading process that will pull in data from the source table and add it to the target table. This type of data loading is useful when there is a need to add additional data to an existing table, for example, when a user needs to add new columns to an existing table. Preceding Load is often used when combining data from multiple sources or when creating a master data set from multiple related tables.
QlikView – Incremental Load
QlikView Incremental Load is a feature that allows users to load only the data that has been changed since the last time the data was loaded, rather than loading all the data again. This feature can help reduce the time and resources required to load data into QlikView by only loading the changed records instead of reloading the entire data set. It can also help reduce the size of the data set, as only the changed records are loaded, resulting in a smaller data set. This can also help reduce storage costs as only the changed records need to be stored.
Loading the Data
QlikView is a powerful data analysis and visualization software that allows users to quickly and easily load data into the platform. To load data into QlikView, users must first create a data connection. This can be done by selecting the ‘Create New Connection’ option from the main menu. From here, users can select the type of data connection they would like to create, such as an ODBC connection or a direct file connection. Once the connection is established, users can then select the data source and load the data into the platform. Once the data is loaded into the platform, users can then start to explore and analyze the data.
Verifying the Data Loaded
To verify the data loaded into QlikView, you can use the data profiling tool to analyze the data. This tool provides various statistical insights such as column distribution, data types, and data value distribution. You can also use the Data Manager to check the data source, data type, and data quality. Additionally, you can use the Data Monitor to check the size of the data loaded into the application. Finally, you can use the Data Inspector to double-check the data quality and check that the correct data is being loaded into the application.
Creating the Table Layout
In QlikView, creating a table layout involves creating a table object with rows and columns. To create a table in QlikView, open the “Insert” tab and select “Table”. This will open the “Table Properties” window. Here, you can define the number of rows and columns in the table, as well as the layout and styling options. You can also add fields to the table by dragging and dropping from the data model pane. Once the fields have been added, you can then use the “Format” tab to customize the appearance of the table. Finally, click “OK” to create the table.
Viewing the Existing Data
The existing data in the incremental load can be viewed by running a query against the relevant tables. This query should return all records that have been added to the database since the last incremental load. This query should include any records that have been updated as well as any new records that have been added. Additionally, the query should include any records that have been marked as deleted or archived. This will allow the user to view all of the changes that have been made to the database since the last incremental load.
Updating the Source Data
QlikView offers a variety of methods to update source data. Depending on the type of source data, the data can be updated using a query, a script, or a combination of the two.
For a query-based approach, the user can use the QlikView Data Load Editor to define a data connection and query from the source data. This query can be written using SQL, or using QlikView’s proprietary scripting language.
For a script-based approach, the user can create a script to define a data connection, retrieve the source data, and then use the script to update the data in the QlikView application. This script can be written in the QlikView scripting language, or in another language such as JavaScript, Python, or PHP.
If the source data needs to be updated frequently, it is best to use a combination of query and script. This way, the query can be used to retrieve the data from the source and the script can be used to update the data in the QlikView application. This approach is more efficient and will save time in the long run.
QlikView – Data files (QVD)
QlikView QVD files are data files used to store data from QlikView applications. These files are used to store data in a compressed format, allowing for faster data access and retrieval. QVD files can be used to store data from multiple sources, such as databases, spreadsheets, and text files, as well as QlikView objects. They can be used to export data from one QlikView application to another, or to store data in a separate file for backup purposes.Advantages of Using QVD Files
1. Improved Data Accessibility: QVD files can be used to store large amounts of data and access it quickly, making it easier for users to access the data they need.
2. Easier Data Management: QVD files can also be used to store and manage data in a more efficient way, making it easier to maintain and organize data.
3. Improved Data Security: Data stored in QVD files is encrypted, making it more secure than other types of files. This ensures that the data is protected from unauthorized access.
4. Reduced Load Time: By using QVD files, the load time for data can be significantly reduced, making it easier to process large amounts of data quickly.
5. Improved Performance: QVD files can be used to improve the performance of a system by reducing the amount of data that needs to be processed. This can help to increase the speed and efficiency of an application.
Creating QVD Files
QVD files are created using the store command in QlikView. The syntax for creating a QVD file is as follows:
store <table name> into <QVD file name> (qvd);
where <table name> is the name of the table you want to store and <QVD file name> is the name of the QVD file you want to create.
To create a QVD file, you first need to load data into QlikView. This can be done using the load statement. Once the data is loaded, you can use the store statement to save it into a QVD file.
Using QVD Files
QVD files are used for storing the data extracted from the database and are used for further analysis. QVD files are created using the QlikView script and can be used to store the data in a compressed format. The data stored in the QVD files can be reloaded into the application whenever required. QVD files are used to reduce the time taken to reload the data into the application and also reduce the load on the server.
QVD File Loader Script
The QVD File Loader Script is a script that can be used to load data from a QVD file into a database. This script can be used to quickly and easily transfer data from one database or system to another. The script is written in a simple language, making it easy to understand and use. The script can be used to automate the loading process, which can save time and money. The script can also be used to customize the loading process and tailor it to the specific needs of the user.
Displaying Data from QVD File
QVD files are files that store data on a hard drive in a compressed format for quick and easy retrieval. To access data from a QVD file, one needs to use a QlikView application. The application allows users to query the data from the QVD file and display it in a graphical format. To do this, the user needs to create a chart or graph, set the data source to the QVD file, and then specify which fields should be displayed and how they should be grouped. The chart or graph will then show the data from the QVD file in an organized way.
QlikView – Sheet and Objects
QlikView is a business intelligence platform that enables users to explore, analyze and visualize data. QlikView is composed of two main components: Sheets and Objects.
Sheets are the primary interface of QlikView, and contain the visualizations, the data model and the user interface elements. Sheets provide a way to display data, charts, tables, and other visualizations. Sheets can include multiple objects, including lists, charts, tables, and gauges.
Objects are the building blocks of QlikView sheets. They are the visualizations that help you analyze and understand your data. Objects can be used to display data in different ways, from simple tables to complex visualizations. Objects can also be combined to create powerful dashboards.
Objects can be customized to display specific data and provide additional functionality, such as interactive filters and drill-down analysis. Objects can also be linked to other objects, allowing users to explore data across different perspectives.
Sheet Properties
In QlikView, a Sheet Properties object is used for setting up the properties of a sheet, such as its title, size, and color. This object is found in the Layout tab of the Properties window. It contains a variety of options, including:
• Title: Allows you to customize the title of the sheet.
• Size: Sets the size of the sheet.
• Background Color: Sets the background color of the sheet.
• Sheet Orientation: Sets the orientation of the sheet (Portrait or Landscape).
• Show Sheet borders: Allows you to show or hide the sheet borders.
• Show Sheet background: Allows you to show or hide the sheet background.
• Show Sheet tabs: Allows you to show or hide the sheet tabs.
• Show Sheet search: Allows you to show or hide the sheet search.
• Show Sheet info: Allows you to show or hide the sheet info.
• Show Sheet sorting: Allows you to show or hide the sheet sorting.
• Show Sheet toolbars: Allows you to show or hide the sheet toolbars.
• Show Sheet headers: Allows you to show or hide the sheet headers.
• Show Sheet titlebar: Allows you to show or hide the sheet titlebar.
• Show Sheet footer: Allows you to show or hide the sheet footer.
Creating Sheet Objects
Creating Sheet Objects in QlikView is done through the Sheet Objects Tab in the Sheet Properties window. When creating a Sheet Object, users can choose from a variety of options such as Charts, Text Objects, List Boxes, Input Boxes, Button Objects, and more. Depending on the type of object, users can customize the Sheet Object’s appearance and behavior. For example, users can choose the type of chart, set the size and position of the object, and set filters and sorting options. Additionally, users can set actions for the Sheet Object, such as linking to other Sheets or webpages, or triggering an action when clicked.
Using Sheet Objects
Sheet objects are objects that contain data related to a spreadsheet. Sheet objects can store a range of information, including formulas, data, and formatting. Sheet objects are usually used to create dynamic and interactive reports, dashboards, and other data-driven applications. They can also be used to create dynamic charts, graphs, and other visualizations.
Association between Sheet Objects
Sheet objects are elements used to create and manipulate spreadsheets. The most common sheet objects are cells, columns, rows, formulas, and charts. The association between these objects is that they are all used together in order to create a functional spreadsheet. Cells contain the data that is manipulated and displayed, columns and rows organize the data, formulas allow for calculations to be performed on the data, and charts provide visual representations of the data. All of these objects must be used in conjunction with each other in order to effectively create and use spreadsheets.
QlikView – Scripting
QlikView scripting is the process of creating a script in the QlikView scripting language to create and manipulate data within a QlikView document. When writing a script in QlikView, you use the QlikView Scripting Language (QSL) to create a script that will read, interpret, and manipulate data from a variety of sources. The scripting language includes commands and functions that allow you to connect to data sources, define data objects and expressions, and create visualizations.
QlikView scripting is used for a variety of purposes, including data transformation, data integration, data analysis, and data visualizations. It is used to automate processes and improve the efficiency of data analysis. Scripts can be written to perform a variety of tasks, such as loading data from files and databases, applying filters and calculations to data, creating visualizations, and more.
Creating a script in QlikView requires a basic understanding of the QlikView scripting language. The language is structured around commands and functions, which are used to write and execute scripts. The commands and functions can be used to read, interpret, and manipulate data from a variety of sources. The syntax of the QlikView scripting language is relatively simple, and can be learned with a basic understanding of programming principles.
Script Editor Features which are accessed from the menu in the script editor window
• Script Editor Preferences: Allows users to customize their Script Editor experience by setting text size, color, and font preferences.
• Find & Replace: Enables users to search and replace text within the Script Editor window.
• Compile Scripts: Allows users to compile their scripts into a single executable file.
• Run Scripts: Allows users to test their scripts in real time and make sure they are working properly.
• Debug Scripts: Enables users to debug their scripts by stepping through them line by line, inspecting variables and evaluating expressions.
• Insert Template: Allows users to quickly insert a template of code into the Script Editor window.
• Clean Scripts: Automatically formats scripts to make them easier to read and debug.
• Shortcuts: Allows users to create their own keyboard shortcuts for quickly accessing Script Editor features.
QlikView – Functions
QlikView functions allow users to perform calculations on values in a data set.
1. Aggregation functions: These functions allow the user to aggregate data in a data set, such as sum, average, median, max, min, etc.
2. String functions: These functions allow the user to manipulate strings in a data set, such as trim, substring, concatenate, etc.
3. Date functions: These functions allow the user to manipulate dates in a data set, such as dateadd, datediff, etc.
4. Math functions: These functions allow the user to perform mathematical operations on values in a data set, such as addition, subtraction, multiplication, division, etc.
5. Statistical functions: These functions allow the user to perform statistical operations on values in a data set, such as average, median, standard deviation, etc.
6. Logical functions: These functions allow the user to perform logic operations on values in a data set, such as if/then statements, etc.
QlikView – IntervalMatch
The IntervalMatch function in QlikView is used to match a set of values to a predefined range of values. It is used to match a value to a range based on the given criteria. For example, if you need to assign a value to a specific range such as 0-100, 50-100, or 0-50, the IntervalMatch function can be used to do this.
The syntax for the IntervalMatch function is:
IntervalMatch(<value>,<range1>,<range2>,<range3>,…<rangeN>)
Where <value> is the value to match, and <range1>, <range2>, <range3>,…<rangeN> are the predefined ranges.
For example, if you need to assign a value of 10 to either 0-100, 50-100, or 0-50, you can use the following code:
IntervalMatch(10, 0-100, 50-100, 0-50)
This will return “0-100” as the result, as 10 is within the range of 0-100.
QlikView – Aggregate Functions
QlikView offers a wide range of aggregate functions to perform calculations. The following are some of the most commonly used functions:
• Sum(): Calculates the sum of a set of numbers.
• Count(): Counts the number of values in a set.
• Max(): Calculates the maximum value in a set.
• Min(): Calculates the minimum value in a set.
• Avg(): Calculates the average value in a set.
• StDev(): Calculates the standard deviation of a set.
• Median(): Calculates the median value in a set.
• Percentile(): Calculates a specific percentile of a set.
• Corr(): Calculates the correlation between two sets of data.
• Skew(): Calculates the skewness of a set.
• Kurt(): Calculates the kurtosis of a set.
QlikView – Match Function
The Match function in QlikView is used to find the relative position of a value in a list of values. The syntax for the Match function is as follows:
Match(value, list [,offset] [,match_type])
The value argument is the value for which the relative position will be returned. The list argument is a list of values that the value argument will be compared against. The optional offset argument will specify the starting position in the list from which the search should start. The optional match_type argument will specify if the search should be exact or approximate.
Load Script with Match()
<script>
function match(str) {
return str.match(/\w+/g);
}
</script>
QlikView – Rank Function
The Rank function in QlikView is used to assign the ranks to the values of a field or expression. It is used to identify the largest or smallest values in a field or expression. Rank() is an aggregation function which returns an integer value indicating the rank of a particular expression value within the set of expression values. It is used to compare the values of a field or expression and assign them a ranking. For example, the Rank function can be used to identify the top 10 salespersons in a region.
Creating Chart with Rank() Function
Rank() is a window function used to assign a rank to the output of a query. The rank values are assigned in the order of the values specified in the ORDER BY clause. The syntax for the Rank() function is:
RANK() OVER (ORDER BY expression [ASC|DESC] [,n])
The following example creates a chart that ranks the customers according to their total sales:
SELECT
CustomerName,
TotalSales,
RANK() OVER (ORDER BY TotalSales DESC) AS CustomerRank
FROM Customers
ORDER BY TotalSales DESC;
Chart:
CustomerName | TotalSales | CustomerRank
________________________________________
John Smith | 100,000 | 1
Jane Doe | 75,000 | 2
Bob Jones | 50,000 | 3
etc.
QlikView – Peek Function
The QlikView Peek function allows you to view the contents of a field or variable. It is useful for debugging scripts, as it allows you to quickly view the contents of a field or variable. The Peek function is used within the QlikView script editor and returns a single value. It takes two parameters: the field or variable that you want to view, and the expression that you want to use to filter the data. The syntax for the Peek function is Peek(field_or_variable, expression).
Using peek() Function in Calculations
The peek() function can be used to retrieve the next item from an iterator without advancing the iterator. This can be useful in a variety of calculations, such as calculating the average of a sequence of numbers. For example, if we have an iterator containing a list of numbers, we can use the peek() function to look ahead at the next item in the list without advancing the iterator. We can then use the value of the next item to calculate the average of the list.
QlikView – RangeSum Function
The RangeSum function in QlikView is a statistical aggregation function that returns the sum of a range of values that are specified in the expression. It works similar to the Sum function, but instead of summing up all the values in the expression, it only sums up the values that fall within the specified range. This allows users to quickly calculate the sum of values within a particular range. The syntax for the RangeSum function is:
RangeSum(expression, lower_bound, upper_bound)
Where expression is the field or expression that you want to sum, lower_bound is the lower bound of the range, and upper_bound is the upper bound of the range.
Applying RangeSum() Function
RangeSum(A1:A10)
This function will return the sum of all of the values in the range of A1 to A10. For example, if A1 to A10 contain the values 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, then the RangeSum() function will return 55.
QlikView – Documents
QlikView documents are files that contain a variety of data, such as tables, charts, and other visualizations. They are used to create interactive dashboards and analysis applications that can help users analyze, explore, and report on data. QlikView documents can be created, opened, and edited in the QlikView Desktop Client or QlikView Server. They can also be shared and published online, or embedded into websites and other applications.
Document Properties
In QlikView, document properties are settings that control what will be displayed and how the data is organized. Document properties include options such as document name, document type, data source, and sheet layout. They can also be used to customize the appearance of the document, such as setting the background color, font size, and font type. Additionally, document properties can be used to control user access, set data security, and set up document scheduling.
QlikView – List Box
A List box is a QlikView object used to select values from a list of values. It is used for quickly selecting one or more values from a list of values. The list box can be configured to allow single or multiple selections. It can also be used as a search box to quickly find and select values.
creating List Box
A List Box is a QlikView object used to select values from a list of available values. It is a powerful tool for data selection, since it allows users to select multiple values from a single field. Creating a List Box in QlikView is simple. First, create a dimension in the Data Load editor. Then, add the dimension to the list of dimensions in the app. In the Layout tab, add a List Box object to the sheet. Finally, select the dimension from the list of available fields and click OK. The List Box should now appear on the sheet with the available values.
QlikView – Multi Box
QlikView Multi Box is a powerful visualization tool. It is a versatile data-visualization tool that enables users to quickly and easily analyze large datasets. It provides an interactive way to explore and discover insights from complex data sets. It is an ideal tool for exploring relationships between different variables and understanding the underlying patterns in data. It allows users to quickly and easily create visualizations that can be used to uncover trends, compare different data points and identify correlations.
Creating Multi Box
In QlikView, you can create a multi-box chart by using the Chart Properties window. To do this, select your chart and go to the ‘Properties’ tab in the Chart Properties window. Under the ‘General’ tab, select ‘Multi Box’ from the ‘Chart Type’ drop-down menu. This will turn your standard chart into a multi-box chart. You can then customize the chart by adjusting the color, size and other settings. You can also adjust the number of boxes, the data series, and the labels for each box.
QlikView – Text Object
QlikView text objects are used to display static text in a QlikView report. Text objects are useful for adding titles, headings, labels, and other explanatory text to a report. Text objects can also be used to add HTML and links to websites. Text objects can be formatted and styled to create a more visually appealing report. Text objects can also be used to add images and other objects to a report.
QlikView – Bar Chart
QlikView is a powerful business intelligence tool that allows you to create a wide range of visualizations, including bar charts. With QlikView, you can create bar charts to compare values, display trends over time, or show the relationship between different variables. Bar charts are a great way to quickly and easily communicate complex data. To create a bar chart in QlikView, select the desired data, then click the ‘Chart’ button in the ‘View’ tab. Select ‘Bar Chart’ from the list of available chart types, then click ‘Create’. Finally, use the ‘Chart Settings’ window to customize the appearance and behavior of the chart.
Using the Quick Chart Wizard
Step 1: Click the “Insert” tab on the Microsoft Word ribbon.
Step 2: Select “Column” from the Charts section.
Step 3: Select the type of chart you want to create.
Step 4: Enter the data you want to include in the chart.
Step 5: Select the options you want to use for your chart.
Step 6: Click the “Finish” button to create the chart.
QlikView – Pie Chart
QlikView Pie Charts are a type of chart used to visualize data by dividing it into sections that each represent a percentage of the total. The sections are displayed in a circle or ‘pie’ and each section is labeled with its respective value. Pie Charts are best used to display data that has a limited number of values, such as regions or departments. They are a great way to show the relative size of the parts of a whole.
When using the Quick Chart Wizard to create a pie chart in QlikView, there are several steps to follow.
1. First, open the data sheet and select the field or fields you would like to use for the pie chart.
2. Click the Chart tab at the top of the screen and select Pie Chart from the list of available chart types.
3. In the wizard window that pops up, select the field or fields you would like to use for the pie chart. You can also choose how to display the data, such as whether to display the values as percentages or as absolute values.
4. Click Next to select the type of chart you would like. You can choose between 3D or 2D, or even a combination of both.
5. Click Next again to customize the chart’s appearance, such as the colors, labels, and sizes.
6. Finally, click Finish to create the chart. The pie chart will appear on the data sheet. You can then adjust it to suit your needs, such as changing the colors, adding or removing labels, or even adding a legend.
QlikView – Dashboard
QlikView is a powerful business intelligence and analytics platform designed to help organizations make informed decisions. It enables users to quickly access, analyze, and visualize data in meaningful ways. QlikView’s powerful dashboard feature allows users to create interactive visualizations of their data, such as pie charts, bar graphs, and line graphs. These visualizations can be used to quickly understand trends, identify opportunities, and quickly spot areas of concern. QlikView also includes powerful data exploration capabilities, allowing users to quickly drill down into data to answer more granular questions. QlikView can be used to create stunning, interactive dashboards that can be easily shared with stakeholders, and used to drive informed decision-making.
QlikView – Data Transformation
QlikView is a data transformation and business intelligence software. It enables users to transform their raw data into meaningful insights, dashboards, and reports. By using QlikView, users can quickly and easily turn their data into meaningful insights so they can make informed business decisions. QlikView offers a range of features that make data transformation easier and faster.
QlikView offers a range of data transformation capabilities, including data cleansing and transformation, data integration, data modeling, data blending, and data analysis. QlikView includes a visual data transformation tool that allows users to easily transform and integrate data from multiple sources. It also offers advanced data modeling capabilities, such as predictive analytics and machine learning. Additionally, QlikView offers an array of data visualization capabilities, allowing users to create interactive visualizations and dashboards.
QlikView also includes features for managing and controlling access to data. It allows users to set up security profiles and assign permissions to different users. This helps ensure that data is kept secure and that only users with the appropriate permissions can access the data. Additionally, QlikView offers data governance capabilities, helping organizations ensure that their data is clean and accurate.
QlikView – Fill Function
The Fill Function in QlikView is a powerful, built-in function that allows you to create a synthetic dimension, or a dimension based on related values. This is especially useful when dealing with data that contains many different values that fall into a small number of categories, such as sales data that is divided by region. The Fill function can be used to create a dimension based on the region and then calculate the total sales for each region.
The Fill function is also useful for creating synthetic keys, which are necessary for making associations between two tables. Synthetic keys are created by combining two or more fields from a single table into a new field. This new field can then be used to create a relationship between two tables. The Fill function can also be used to create a synthetic key by combining two or more fields from a single table into a new field.
Overall, the Fill function is a powerful tool that can be used to simplify data analysis and create meaningful relationships between tables.
QlikView – Column Manipulation
QlikView allows you to manipulate columns in various ways.
1. You can add new columns and calculations to the data set by using the “New Column” option in the “Data” tab. This will allow you to enter an expression that will create a new column with the desired calculation.
2. You can also rename and delete existing columns by right-clicking on the column header and selecting “Rename” or “Delete”.
3. You can also reorder the columns in your data set by left-clicking and dragging the column header to the desired location in the table.
4. You can also hide and show columns by right-clicking on the column header and selecting “Hide” or “Show”.
5. Finally, you can also change the data type of existing columns by right-clicking on the column header and selecting “Change Data Type”.
QlikView – Rotating Tables
QlikView allows you to rotate tables by using the built-in Rotation functionality. This functionality is available through the Transform tab of the Table Properties menu. To rotate a table, select the table you wish to rotate, then go to the Transform tab and select the Rotation option. From here you can select the type of rotation you would like to perform. You can rotate the table clockwise or counter-clockwise, or you can flip the table vertically or horizontally. Additionally, you can choose to rotate the table by a given number of degrees. Once you have specified the type of rotation you would like to perform, click the Apply button to apply the rotation to the table.
QlikView – Dimensions and Measures
Dimensions
Dimensions are the fields in the data set which are used to categorize or group the data. It could be something like date, product name, region, customer name etc.
Measures
Measures are the fields in the data set which are used to measure the data. It could be something like sales, profit, quantity, cost etc.
Using Dimensions and Measures
Dimensions and measures are two fundamental elements of data analysis in QlikView. Dimensions are the objects or attributes of a data set that can be used to analyze and group the data. Measures are the values that can be calculated from the data in order to gain insight into the data set. Dimensions and measures are used together in QlikView to create visual representations of data, such as charts and tables, to gain insights into the data set. For example, a dimension might be a customer’s age, and a measure might be the total amount of money spent by that customer. By combining these two elements, a user can create visualizations that show the average spending by age group, or compare spending across different age groups.
QlikView – Star Schema
QlikView is a business intelligence platform that is often used to create star schemas. A star schema is a type of data warehouse schema where data is organized into a central fact table surrounded by a number of dimension tables. This type of schema is designed to make queries easier and faster by providing a clear path for data retrieval.
QlikView allows users to easily create star schemas by connecting data sources and then selecting the desired fields to be included in the star schema. The software also provides tools for data cleansing, data enrichment, and data visualization. In addition, users can create custom dashboards to quickly visualize their data.
Overall, QlikView is a powerful tool for creating star schemas and leveraging business intelligence. It provides a comprehensive set of tools that make it easy to transform data into meaningful insights.
Star Schema Data Model
The star schema data model is a type of relational database model that uses a central fact table surrounded by multiple dimension tables. The star schema data model is used to organize and store data from multiple sources in an easy-to-understand format. The fact table in the star schema contains the metrics and measurements of the business that are being analyzed, while the dimension tables provide the context for the facts. The star schema is the most common approach to data warehousing and provides an efficient way to query and analyze large amounts of data.
QlikView – Synthetic Key
A synthetic key is a type of primary key in a database table that is composed of two or more columns. It is used when a single column cannot provide a unique identifier for a record, such as in a table of customer orders where each order is assigned a unique identifier that is made up of the customer’s ID and the order date. Synthetic keys are used to link two or more related tables in a database, allowing for complex queries and reporting.
Impact of Synthetic Key
QlikView synthetic keys can have a significant impact on the performance of a QlikView application. Synthetic keys can cause performance issues, such as slow query execution times and memory issues. They can also lead to incorrect results due to the data which is being joined not being correctly linked. Synthetic keys can also lead to data integrity issues, as there is now a link between two unrelated tables. This can lead to incorrect data being returned when a query is run.
QlikView – Generating Data
QlikView is a business intelligence (BI) platform used to generate data reports. The software enables organizations to quickly and easily create interactive dashboards, reports, and visualizations to get insights from their data. QlikView is widely used in finance, healthcare, manufacturing, retail, and other industries.
QlikView is designed to help users explore their data quickly and easily. The software features a drag-and-drop user interface that makes it easy to build reports and visualizations. It offers a wide range of chart types, including bar charts, line charts, pie charts, and more.
QlikView also provides powerful search capabilities that make it easy to find the data you need. It also offers a range of data analysis tools, including data mining, predictive analytics, and machine learning.
QlikView is an excellent choice for organizations that need to generate data reports quickly and easily. The software is easy to use and provides powerful search capabilities, numerous visualization options, and powerful data analysis tools.
Data Requirements:
The data requirements for QlikView depend on the type of data being used and the purpose it is being used for. Generally, the data requirements include the necessary fields, types of data, and data formats.
QlikView – Cross Tables
QlikView Cross Tables are a type of chart used to visualize data in a table format. They are used to compare data points across multiple dimensions or fields and provide a visual overview of the data. Cross Tables are also commonly referred to as Pivot Tables, and are used to analyze, summarize and compare large amounts of data. Cross Tables are a great way to quickly identify patterns, trends and correlations in the data and to make decisions based on those insights.
Crosstable Options
1. Linked Objects: When you link two tables together in QlikView, you can create a cross table that shows the data from both tables side by side. This allows you to compare data from different sources in one view.
2. Sorting & Grouping: You can sort and group the data in a cross table in QlikView in order to make it easier to analyze the data and draw conclusions from it.
3. Aggregations: You can also use aggregations in a cross table in QlikView to calculate and display summary information such as averages, sums, counts, etc.
4. Chart Types: You can also choose from a variety of chart types to display the data in a cross table in QlikView. This can be useful for visualizing the data in a more meaningful way.
5. Filtering & Searching: You can also filter and search through the data in a cross table in QlikView. This can help you quickly find the data you need and make it easier to analyze.
QlikView – Straight Tables
QlikView Straight Tables provide a graphical interface to view and analyze data. They are useful for quickly understanding the relationships between different fields in a dataset. They are also useful for quickly discovering patterns and trends in a dataset. Straight Tables are easy to use and can be created from any data source. They can be used to compare different measures, visualize relationships between different fields or categories, and to identify outliers or anomalies. Straight Tables are also customizable, allowing users to customize the visualizations, add filters, and modify the data fields used in the table.
QlikView – Pivot Tables
QlikView is a business intelligence software that provides powerful reporting and analysis tools. Among its many features, QlikView includes a powerful and flexible pivot table builder. A pivot table is a data visualization tool that allows users to summarize and analyze complex data in an organized and intuitive way.
QlikView’s pivot table builder is easy to use and provides a variety of features for creating and customizing pivot tables. It includes options for sorting and filtering, as well as a range of formatting options for presenting data in an attractive and easy-to-understand way. Users can also create customized calculations and aggregate functions, such as sums, averages, and percentages.
QlikView’s pivot table builder also includes powerful visualization tools, such as charts and graphs, which can be used to further enhance the presentation of data. QlikView’s pivot table builder is an essential tool for businesses that need to make sense of large amounts of data and make informed decisions.
QlikView – Set Analysis
QlikView Set Analysis is a powerful feature that allows you to create dynamic sets of data. It enables you to create sets of data that are based on selections, expressions, functions, and variables. With Set Analysis, you can compare different sets of data, filter out certain data points, and create complex visualizations. Set Analysis is a powerful tool for data analysis and can be used to create powerful visualizations.
Applying Set Analysis
Set Analysis is a powerful expression language used in QlikView to perform complex calculations and analytics. It allows users to define subsets of data based on certain criteria, such as filtering by date, customer, or product. Set Analysis can be used to compare different subsets of data, or to create complex calculations that are not possible with built-in QlikView functions. It can also be used to apply calculations to a subset of data, such as calculating a running total or average across a set of data. Set Analysis is also used to create charts and reports that show different subsets of data.
QlikView – Joins
QlikView Joins are used to combine data from two or more tables in order to create a single virtual table. The two types of joins in QlikView are:
1. Inner Join – An inner join combines data from two tables and returns only the matching records.
2. Left Outer Join – A left outer join combines data from two tables and returns all the records from the left table and any matching records from the right table.
QlikView – Keeps
QlikView is a business intelligence software that allows users to analyze data from multiple sources and to create data visualizations. It is designed to help organizations make better decisions by providing insights into data. QlikView provides powerful data analysis capabilities, allowing users to quickly find patterns and trends in data. It also offers a range of features to help users manage large amounts of data and to create interactive visualizations. QlikView can also be used to monitor performance and to identify areas of improvement.
Inner Keep: This allows you to keep the values of a field that are common to two or more selections in a field. For example, if you have two selections in a field, A and B, and B is also present in selection C, then the Inner Keep will keep all the values of B that are present in C as well.
Left Keep: This allows you to keep the values of a field that are only present in the first selection. For example, if you have two selections in a field, A and B, and B is also present in selection C, then the Left Keep will keep only the values of B that are present in A.
Right Keep: This allows you to keep the values of a field that are only present in the second selection. For example, if you have two selections in a field, A and B, and B is also present in selection C, then the Right Keep will keep only the values of B that are present in C.
QlikView – Concatenation
QlikView concatenation is a process of combining two or more fields, strings, or expressions into one. It is a powerful tool that enables users to combine and manipulate data in a variety of ways. Concatenation is especially useful when creating complex expressions or when combining data from multiple sources. QlikView’s concatenation function is simple and easy to use, allowing users to quickly and easily combine strings, fields, or expressions.
QlikView – Master Calendar
QlikView’s Master Calendar is a powerful tool that can be used to quickly create a calendar view of your data and make it easier to analyze. It can be used to create a timeline-style view of information, such as sales figures over a period of time, or to quickly identify patterns in data, such as recurring trends or anomalies. The Master Calendar is easy to use and can be quickly adapted to different scenarios, making it a valuable tool for data analysts.
Create Master Calendar
1. Create a new QlikView document and add the data source for your calendar.
2. Create a master calendar by selecting the Calendar option in the Data tab and selecting the appropriate fields from the data source.
3. Create a table visualization to represent the master calendar.
4. Right-click on the table visualization and select Properties.
5. In the Properties window, select the General tab and choose the Date Format that you want to use for your master calendar.
6. Select the Calendar tab and choose the Start Date and End Date for your calendar.
7. Choose the Granularity level for your calendar (e.g. month, week, day).
8. Select the Dimensions tab and add any additional fields that you would like to appear in the master calendar.
9. Click OK when you are done.
10. Save the QlikView document. Your master calendar is now complete.
QlikView – Mapping Tables
QlikView is a powerful data visualization and reporting tool that allows you to quickly create and explore relationships between data sets. Mapping tables are one of the features of QlikView that enable you to create relationships between different data sets.
Mapping tables enable you to connect data sets by linking common fields in different tables to each other. For example, you can link a customer’s ID number in one table to their name in another table. This makes it easier to create charts and reports that include data from multiple sources.
Mapping tables can be used to join multiple tables together, creating a single view of the data. This can be used to create a master record of data, or to identify relationships between different data sets. It can be used to gain insights into customer behavior, to analyze sales trends, or to compare different data sets.
Mapping tables can also be used to filter data, allowing you to focus on only the data that is relevant to your analysis. This can be used to create reports that are more specific, or to identify outliers.
QlikView’s mapping tables are easy to use and can help you quickly create relationships between different data sets. They are a great way to analyze data from multiple sources and gain insights into customer behavior.
Create the Mapping Table in QlikView
Table Name: MappingTable
Fields:
Field1 (Source System)
Field2 (Destination System)
Field3 (Mapping Type)
Field4 (Source Field)
Field5 (Destination Field)
Field6 (Mapping Value)
QlikView – Circular Reference
A circular reference in QlikView is when two or more fields in a data model depend on each other. For example, if one field uses the result from another field, and that second field uses the result from the first field, a circular reference exists. This can cause problems in calculations and data analysis, as it can lead to infinite loops and errors. To avoid creating circular references, make sure that the data model is designed in a way that fields are independent of each other.
Resolving Circular Reference
A circular reference is a type of error that occurs when a formula refers back to its own values. This can create an infinite loop causing the program to crash. To resolve a circular reference, you need to identify which formula is causing the error and then modify it to break the loop. This can involve changing the formula or adding a conditional statement to limit the number of loops. You may also need to break the formula into multiple parts and use intermediate values to prevent the loop from forming.