How does the Make Group tool work in Alteryx

This recipe explains how does the Make Group tool work in Alteryx

Recipe Objective: How does the Make Group tool work in Alteryx?

Step 1:

Open Alteryx Designer software. Here New workflow1 is by default available.

Step 2:

Now go to the Favorite tab or IN/OUT tab, where we can see a tool named "INPUT DATA."

Step 3:

Drag the INPUT DATA tool on the below side in the New Workflow1. Now go to the Configuration pane/window and click on the drop-down available to connect a file or database.

Get Access to Plant Species Identification Project using Machine Learning

Step 4:

After this, it will redirect us to the data connection window, here we have to click on the files option, then click on the select file option, and ask us to select a file from the folder. Here we have chosen a file named "Sales 2017-Copy".Then select Range as "R_4" and click on Ok.

Step 5:

Then click on the Run button or press CTRL+R; in the results workflow, data will be displayed. Then drag the Make Group tool from the Join tab and connect it with the INPUT DATA tool in the New workflow.

Step 6:

Connect the Input data tool to the input anchor of the Make Group tool, Then go to the configuration pane/window, select the option "Month" from the 1st Key, and select option "Month2" from the 2nd Key respectively. Now click on the Run button to view the results workflow.

What Users are saying..

profile image

Ray han

Tech Leader | Stanford / Yale University
linkedin profile url

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More

Relevant Projects

Build Time Series Models for Gaussian Processes in Python
Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python

OpenCV Project for Beginners to Learn Computer Vision Basics
In this OpenCV project, you will learn computer vision basics and the fundamentals of OpenCV library using Python.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Deploy Transformer BART Model for Text summarization on GCP
Learn to Deploy a Machine Learning Model for the Abstractive Text Summarization on Google Cloud Platform (GCP)

Credit Card Default Prediction using Machine learning techniques
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Build a Review Classification Model using Gated Recurrent Unit
In this Machine Learning project, you will build a classification model in python to classify the reviews of an app on a scale of 1 to 5 using Gated Recurrent Unit.

Deploy Transformer-BART Model on Paperspace Cloud
In this MLOps Project you will learn how to deploy a Tranaformer BART Model for Abstractive Text Summarization on Paperspace Private Cloud

BERT Text Classification using DistilBERT and ALBERT Models
This Project Explains how to perform Text Classification using ALBERT and DistilBERT

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

Build Regression (Linear,Ridge,Lasso) Models in NumPy Python
In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.