How to use the Smart Tile function of Tile tool in Alteryx

This recipe helps you use the Smart Tile function of Tile tool in Alteryx

Recipe Objective:-How to use the Smart Tile function of Tile 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"Sales 2017-Copy".Then select "10000 Records" from file and click on Ok.

Step 5:-

Then click on Run button or press CTRL+R, In the results workflow data will be displayed.Drag the Tile tool from the Preparation tab and connect it with the INPUT DATA tool.

Step 6:-

Then go to the configuration pane/window,Here we can see the Tile Method option, Under this option select Smart Tile, then select Tile Numeric Column as "Sales Done", Now select the option of "Output verbose name column".Then click on run button to view the results workflow.

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

NLP and Deep Learning For Fake News Classification in Python
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.

Linear Regression Model Project in Python for Beginners Part 2
Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

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.

Learn How to Build a Logistic Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple logistic regression model in PyTorch for customer churn prediction.

Build a Autoregressive and Moving Average Time Series Model
In this time series project, you will learn to build Autoregressive and Moving Average Time Series Models to forecast future readings, optimize performance, and harness the power of predictive analytics for sensor data.

PyTorch Project to Build a GAN Model on MNIST Dataset
In this deep learning project, you will learn how to build a GAN Model on MNIST Dataset for generating new images of handwritten digits.

Deep Learning Project for Beginners with Source Code Part 1
Learn to implement deep neural networks in Python .

Time Series Project to Build a Multiple Linear Regression Model
Learn to build a Multiple linear regression model in Python on Time Series Data