Learn how to perform a conjoint assessment using R and how to interpret the results.
- [Instructor] It might be helpful in thinking…about this type of analysis to first take a look…at the data.…We actually have three different data files…this time around, so let's connect to each one.…So I'm going to select line two in the code and run that,…line three, and run that, and line four,…and run that as well.…And let's double-click on the matrix…in the environment pane.…Now this is the dataset that has six observations…running across three variables,…so let's go ahead and click on that.…
So here's what you can imagine from this sample data.…We wanted to find out from users which of these…three attributes they were most interested in.…Each attribute has multiple layers.…So let me give you an example.…The photography feature has three layers.…One for editing, one for filtering, and one for collage.…So in other words, this is what a user…could potentially do with the photography functionality…on our new social media platform.…They can do one of these three pieces of functionality…with photography.…
And we can see that by clicking on our reference data,…
In this course, discover how to gain valuable insights from large data sets using specific languages and tools. Follow Chris DallaVilla as he walks through how to use R, Python, and Tableau to perform data modeling and assess performance. As Chris dives into these concepts, he shares specific case studies that come directly from his own work with clients. Plus, he shares three essential—and practical—best practices for data-driven marketing that you can use to bolster your organization's marketing performance.
- Installing R, Python, and Tableau
- Navigating the UI for R, Python, and Tableau
- Using R, Python, and Tableau
- Exploratory analysis
- Performing regression analysis
- Performing a cluster analysis
- Performing a conjoint assessment
- Stakeholder alignment
Skill Level Intermediate
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1. Software Installation
2. Data, Exploratory Analysis, and Performance Analysis
3. Inference and Regression Analysis
5. Cluster Analysis
6. Conjoint Analysis
7. Best Practices
Next steps1m 8s
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