How to Connect Filters to a Combo Box (Control)
Displayr allows you to create filters which can be applied to analyses to see different patterns in your data. However, you can also create filters...
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Installing R Packages from GitHub
Often interesting new R packages are only available on GitHub. This post shows how to install an R package from GitHub, in each of R,...
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How to Create Sankey Diagrams From Tables (Data Frames) Using R
In this post I show how you can use R to create a Sankey Diagram when your data is set up as a table (data...
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How to Create Alternative-Specific Choice Model Designs in Displayr
In a standard choice experiment, respondents are presented with alternatives which have a common set of attributes. Alternative-specific designs relax this requirement and are designed to...
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How to Guarantee* Your Kickstarter Will Succeed!
*We can't actually guarantee the success of your Kickstarter. Sorry! But we can show you what the data says about past Kickstarters, and the factors...
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How to Create a Bump Chart (Ranking Plot) from a Table Using Displayr
Bump charts, also known as ranking plots, are a great way to compare rankings of information by groups. Displayr assumes that your data is in...
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Using ‘Small Multiples’ Visualizations for Big Success
What's better than one big chart? Lots of small charts! The most common name for a series of small charts in a table layout is...
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How Many Rats Does it Take to Power a Lightbulb?
Have you ever wondered how many rats it would take to power a light bulb? No, we hadn't either. But now we can't stop thinking...
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How Random Forests Fit to Data
A random forest is a collection of decision trees. The forest learns patterns in data and makes predictions based on those patterns. In this post,...
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How is Splitting Decided for Decision Trees?
Decision trees are a machine learning technique for making predictions. They are built by repeatedly splitting training data into smaller and smaller samples. This post...
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How to Use Hierarchical Bayes for Choice Modeling In R
You want to understand how your customers make decisions efficiently. Today, customers more so than ever undergo an incredibly complex decision making process. Normally, accurately...
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How to Create a Top 2 Box Score in Q
Every market researcher needs to know how to create a Top 2 Box Score. In today's post, I'll you how you can easily do it...
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How is Variable Importance Calculated for a Random Forest?
After training a random forest, it is natural to ask which variables have the most predictive power. Variables with high importance are drivers of the...
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How to Automatically Update think-cell Charts in PowerPoint
think-cell is a popular charting add-in for PowerPoint. Q can be used to automatically update think-cell charts with new data (new surveys or filtered data,...
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How to use Covariates to Improve your MaxDiff Model
Ready to improve the accuracy of your MaxDiff model? Today, I'll explain why you'll want to include covariates in your model and how to include...
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What’s in a Name? A Data Science Analysis of Smartphone Marketing
Are you the kind of person who would queue outside an Apple store overnight to be the first to score the latest iPhone? Or maybe...
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The Accuracy of Hierarchical Bayes When the Data Contains Segments
There are two main techniques we can use to analyze MaxDiff and choice modeling data (aka discrete choice experiments, choice-based conjoint, CBC): latent class analysis...
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How to Compute Moving Averages in Q
We have previously written about how to use moving averages to display trends in a chart. However, there are occasions when the smoothed values themselves...
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