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Sisense Functions

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May 11, 2024 2 minute read

Sisense Functions are a powerful tool that can help you create dynamic and interactive data visualizations. Functions allow you to perform calculations, transformations, and other operations on your data, so you can create visualizations that are tailored to your specific needs. For example, you could use a function to calculate the average value of a set of data, or to create a bar chart that shows the distribution of data values.

Benefits of Using Sisense Functions

There are many benefits to using Sisense Functions, including:

  • Increased Flexibility: Functions give you the flexibility to create visualizations that are tailored to your specific needs.
  • Improved Performance: Functions can help you improve the performance of your visualizations by reducing the amount of data that needs to be processed.
  • Enhanced Usability: Functions make it easier to create and use visualizations.

How to Use Sisense Functions

Using Sisense Functions is easy. Simply select the function you want to use from the Functions menu, and then enter the parameters for the function. Sisense will automatically update the visualization to reflect the results of the function.

Examples of Sisense Functions

There are many different Sisense Functions available, including:

Path to Sisense Functions

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We've curated two courses to help you on your path to Sisense Functions. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Sisense Functions.
Is the definitive guide to using Sisense for data visualization and analytics. It covers everything from the basics to advanced topics such as machine learning and data mining.
Specialized guide to using Sisense Functions for data scientists. It provides detailed explanations of how to use functions to perform data analysis and machine learning tasks.
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