How does the SQUARE function work in tableau

This recipe explains how does the SQUARE function work in tableau

Recipe Objective - How does the SQUARE function work in tableau?

The SQUARE function in tableau takes one input as a number and returns the square of the given number.

Syntax of the SQUARE Function:

SQUARE(number)

Example: SQUARE(6) = 36

What Users are saying..

profile image

Ed Godalle

Director Data Analytics at EY / EY Tech
linkedin profile url

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

Relevant Projects

Linear Regression Model Project in Python for Beginners Part 1
Machine Learning Linear Regression Project in Python to build a simple linear regression model and master the fundamentals of regression for beginners.

Predictive Analytics Project for Working Capital Optimization
In this Predictive Analytics Project, you will build a model to accurately forecast the timing of customer and supplier payments for optimizing working capital.

Build a Text Classification Model with Attention Mechanism NLP
In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.

Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Build Regression Models in Python for House Price Prediction
In this Machine Learning Regression project, you will build and evaluate various regression models in Python for house price prediction.

Learn to Build a Polynomial Regression Model from Scratch
In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python

NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python

A/B Testing Approach for Comparing Performance of ML Models
The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.