What is the use of Auto field tool in Alteryx

This recipe explains what is the use of Auto field tool in Alteryx

Recipe Objective:-What is the use of Auto field tool 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 as "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.

Step 4:-

After this it will redirect us to the data connection window, here we have to click on files option, then click on select file option,it will then ask us to select a file from the folder, here we have selected a file named as"Office city sales".Then select office city sales sheet from file and click on Ok.

Step 5:-

Drag the Auto Field tool from the Preparation tab and connect it with the INPUT DATA tool.Then click on Run button or press CTRL+R,then in the results workflow data will be displayed.Click on the Auto Field tool in the workflow canvas,then in results we can see the data and metadata, in metadata we can see the double,string data type,size and the file location path.From the configuration pane/window we can see the fields/columns, if we want to deselect any field we can do it and can click on Run button to see the results.

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 a CNN Model with PyTorch for Image Classification
In this deep learning project, you will learn how to build an Image Classification Model using PyTorch CNN

MLOps using Azure Devops to Deploy a Classification Model
In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.

Build a Speech-Text Transcriptor with Nvidia Quartznet Model
In this Deep Learning Project, you will leverage transfer learning from Nvidia QuartzNet pre-trained models to develop a speech-to-text transcriptor.

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.

Census Income Data Set Project-Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based oncensus data.

Learn to Build an End-to-End Machine Learning Pipeline - Part 2
In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, incorporating Hopsworks' feature store and Weights and Biases for model experimentation.

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

Build Real Estate Price Prediction Model with NLP and FastAPI
In this Real Estate Price Prediction Project, you will learn to build a real estate price prediction machine learning model and deploy it on Heroku using FastAPI Framework.

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

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.