Clustering and Market Basket Analysis
Learning Outcomes
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What’s Included
Introduction to Market Basket Analysis
Introduction to Market Basket Analysis
In the first half of this course, we will focus on Market Basket Analysis. In this lesson, we will learn about the concepts and terminology associated with this topic.
Market Basket Affinity and Item Co-occurence
Market Basket Affinity and Item Co-occurence
Cut Price Supermarkets would like us to analyze their receipt data and visualize item co-occurrence. As a first step, we will deploy the MB Affinity tool to create a matrix of item co-occurrences.
Preparing Data for Export
Preparing Data for Export
Before we can visualize item co-occurrence, we need to consolidate our workstreams and format our data for use in Tableau. We'll cover how to efficiently perform this task, and ensure that we have all the necessary data to create an effective visualization.
Visualizing Co-Occurrence
Visualizing Co-Occurrence
In this lesson, we will import our consolidated data to Tableau, learn how to manually calculate lift, and display co-occurrence in a heat map.
Market Basket Rules
Market Basket Rules
Over the last three lessons, we analyzed and visualized item co-occurrence. Cut Price Supermarkets would now like us to run a similar analysis to for receipts that contain more than two items. As a first step, we'll apply the Market Basket Rules tool to the receipt dataset.
Market Basket Inspection
Market Basket Inspection
Now that we've developed rules, we can run an association analysis on the Cut Price Supermarkets' receipt data. In this lesson, we'll learn how to run this analysis with the Market Basket Inspect tool.
Visualizing Shopper Behavior
Visualizing Shopper Behavior
In this, the final lesson on Market Basket analysis, we use Tableau to create a scatterplot of the item sets with reference to lift, support, and confidence.
Segmenting Data into Clusters
Segmenting Data into Clusters
Classifying your data into appropriate segments is a key skill. In this lesson we introduced the concept of clustering, and how to determine the appropriate number of clusters to use.
Cluster Analysis
Cluster Analysis
Continuing our look at data segmentation, in this lesson you will learn how to run a K means clustering analysis and summarize the output.
Preparing Cluster Analysis for Data Visualization
Preparing Cluster Analysis for Data Visualization
Clustering analysis can lend itself to very powerful data visualization. Learn how to export Alteryx clustering output to a data visualization tool such as Tableau.
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