R is one of the most powerful coding languages for analyzing data. It’s used by millions of people across the globe, and is free to…

How to Dynamically Change a Question Based on a Control Box

Control boxes are a popular way for users to change things on a Displayr page. This post will show you how to use a control...

4 Visualizations For Your Customer Satisfaction Data

Customer satisfaction is a valuable customer feedback metric. Here are the four visualizations to find stories in your customer satisfaction data.

Beginner's guides | How To... | R How To... | R in Displayr | Using Displayr | Using R and JavaScript

Using R in Displayr Video Series

R is one of the most powerful coding languages for analyzing data. It’s used by millions of people across the globe, and is free to…

What is Driver Analysis?

Driver analysis, which is also known as key driver analysis, importance analysis, and relative importance analysis, quantifies the importance of a series of predictor variables...

What is Data Merging?

Data merging is the process of combining two or more data sets into a single data set. Most often, this process is necessary when you...

How to Interpret Logistic Regression Coefficients

This post describes how to interpret the coefficients, also known as parameter estimates, from logistic regression (aka binary logit and binary logistic regression). It does...

RECENT POSTS
How to Interpret Logistic Regression Coefficients

The Best Template for Measuring User Onboarding Emails

So, you’ve created the perfect user onboarding email sequence. Congratulations! Now what? Now, it’s time to see how well it’s doing! There are many, many…

Performing Conjoint Analysis Calculations with HB Draws (Iterations)

Modern conjoint analysis methods estimate both the utilities of people, and also how much certainty we have about these estimates. Consequently, analyses of the resulting…

12 Techniques for Increasing the Accuracy of Forecasts from Conjoint Analysis

Choice experiments, also known as choice-based conjoint (CBC), are widely used for predicting the performance of new products and changes to products' designs and portfolios....

5 User Onboarding Mistakes to Avoid

Are you making any of these key mistakes in your user onboarding? Check out how you can better help your users get to grips with...

Alternatives to Email Onboarding

Email onboarding is the bread and butter of any SaaS business's onboarding process. But there's no need to stop at emails! There's a whole world...

Dos and Don’ts for Customer Satisfaction Surveys

Customer satisfaction surveys are a great way to gain valuable insight about what your customers think about you. This list of ten dos and don'ts...

Customizing the Look and Feel of Tables in Displayr

In this post I describe the six main ways of customizing the look and feel of tables in Displayr: (1) using the in-built tables; (2)...

Pros and Cons of Predictive Lead Scoring

There are numerous obvious benefits to predictive lead scoring. But there are some limitations too. This article will help you weigh up the pros and...

Creating Tables Using R and Pure HTML

A problem with R is that its tables are not good enough to share with non-R users, both in terms of visual attractiveness and ease…

Sample Sizes for Net Promoter Score

When designing and executing Net Promoter Score research, companies should consider various factors when deciding on a survey sample size. Keep reading to find out...

Experimental Design for Conjoint Analysis: Overview and Examples

This post introduces the key concepts in designing experiments for choice-based conjoint analysis (also known as choice modeling). I use a simple example to describe…

All About Email Onboarding (+ Free Template!)

If you're not sending onboarding emails to your new signups, are you even onboarding them at all? Email onboarding is a core component of most...

Data Visualization for Conjoint Analysis

While choice-based conjoint analysis represents one of the more sophisticated techniques used in market research, presentation of its results commonly consists only of a simulator,…

Using Substitution Maps to Understand Preferences in Conjoint Analysis

Modern tools for analyzing conjoint analysis, such as hierarchical Bayes, produce rich data showing preferences for each person in a market. The main deliverable from…

Using Indifference Curves to Understand Tradeoffs in Conjoint Analysis

Indifference curves are a way of showing relative preferences for quantities of two things (e.g., preferences for price versus delivery times for fast food). This…

Sample Size for Conjoint Analysis

Working out the sample size required for a choice-based conjoint study is a mixture of art and science. What makes it tricky is that the…

7 Questions for Predictive Lead Scoring (+ Free Checklist!)

It can be confusing to work out if predictive lead scoring is suitable for your company. In this article, I pose seven question for you...

Who is Predictive Lead Scoring For?

You might be reading about predictive lead scoring and wondering if it's something that's right for you. It can sound a little daunting and something...

Customer Onboarding for SaaS

How many times have you downloaded a new app, found it confusing to use, and closed it, never to touch it again? Many products have...

How to Control Who Can View your Documents in Displayr

When you publish documents for multiple clients, you will need to be able to control which clients access each document. This way one client does...

How to Control Who Can View Pages in your Document

On larger projects, you may need to build reports or dashboards that contain results relevant to different groups of people. For example, your customer satisfaction...

CSAT vs NPS: What’s the Difference?

You've probably heard of Customer Satisfaction scores, which measure how satisfied customers were with their experience with your brand. You've also probably heard of the...

4 Reasons Why You Should Be Measuring your Net Promoter Score

There are many reasons why you should be measuring your company's Net Promoter Score.

What is Customer Satisfaction?

If you've ever purchased anything, you've likely come across the Customer Satisfaction Score. It's everywhere, from online stores to airports to dentists' offices. But do...

What’s in the Future for Predictive Lead Scoring?

It was only a few years ago that people were proclaiming that the future of B2B marketing had arrived in the form of predictive lead...

What is the Net Promoter Score (NPS)?

The Net Promoter Score (NPS) is one of the most commonly used customer feedback metrics. With a single question, you can measure customer sentiment and...

What is Predictive Lead Scoring?

Predictive lead scoring is a data-driven lead scoring methodology that uses historical and activity data and predictive modeling to identify the sales leads that are...

6 Ways to Improve the Data Quality of Online Quantitative Surveys

Whether you're conducting your online quantitative surveys for new business ideas, to assess customer satisfaction or to better understand the needs of your customers -...

Make Beautiful Tables with the Formattable Package

I love the formattable package, but I always struggle to remember its syntax. A quick Google search reveals that I’m not alone in this struggle.…

Writing a Questionnaire for a Conjoint Analysis Study

The hard bit of designing a questionnaire for a choice-based conjoint analysis (choice modeling) study is creating the experimental design. However, there are a few...

Main Applications of Conjoint Analysis

Ready to dive further into conjoint analysis? In this post I describe the main applications of choice-based conjoint analysis (choice modeling; CBC).

Conjoint Analysis: The Basics

Choice-based conjoint analysis is a technique for quantifying how the attributes of products and services affect their performance. It is used to help decision makers...

What is Sampling Error?

When data is randomly sampled from a population, the randomness with which observations are selected from the population ensures that the value of statistics computed...

How to Embed a Video in a Displayr Dashboard

You can have a video playing on a page in Displayr, as it’s very simple to set up. The video needs to be hosted on…

Building an Interactive Globe Visualization in R

This post describes how to use the threejs package to plot data on a globe, allowing rotation and zoom. Location markers are added as lines,...

How to create a HEX color palette for Displayr

While most visualizations have built-in color palettes, more often than not you'll want or need to customize them. Having a color palette set up BEFORE...

How to Control Who Can Edit Documents in Displayr

When you have a larger set of people at your organization using Displayr, it can become necessary to define which people are allowed to work...

Focusing the Results of Correspondence Analysis in Displayr

Correspondence analysis is often used to visualize a table of data. The goal is to represent as much information as possible, as accuratelyÂ as possible. However,...

What is a Latent Variable?

A latent variable is a variable that is inferred using models from observed data. For example, in psychology, the latent variable of generalized intelligence is...

Decision Trees Are Usually Better Than Logistic Regression

If you’ve studied a bit of statistics or machine learning, there is a good chance you have come across logistic regression (aka binary logit). It…

This post describes how to interpret the coefficients, also known as parameter estimates, from logistic regression (aka binary logit and binary logistic regression). It does...

What is Feature Engineering?

Feature engineering refers to a process of selecting and transforming variables when creating a predictive model using machine learning or statistical modeling (such as deep...

Feature Engineering in Displayr

Feature engineeringÂ refers to the process of manipulating predictor variablesÂ (features) with the goal of improving a predictive model. In this post I outline some of the…

Feature Engineering for Categorical Variables

When creating a predictive model, there are two types of predictors (features): numeric variables, such as height and weight, and categorical variables, such as occupation…

How to do Logistic Regression in Displayr

In this post I describe how to perform a logistic regression in Displayr. I illustrate the basics using a data set on customer churn for...

Feature Engineering for Numeric Variables

When building a predictive model, it is often practical to improve predictive performance by modifying the numeric variables in some way. In statistics, this is…

How to Interpret Logistic Regression Outputs

Logistic regression, also known asÂ binary logitÂ andÂ binary logistic regression,Â is a particularly useful predictive modeling technique, beloved in both the machine learning and the statistics communities. It...

How to Create a Correlation Matrix in R

A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The…

How to Make an Area Chart in Excel

An area chart is based on a line chart, with the area between the line and the x-axis colored to illustrate volume. In this post,...

How to Make an Area Chart in R

Area charts are useful for visualizing one or more variables over time. We can create area charts in R using one of the many available...

What is Non-Sampling Error?

Non-sampling error refers to any deviation between the results of a survey and the truth which are not caused by the random selecting of observations....

How to Make a Heatmap in Excel

Any large table of data with lots of numbers becomes difficult to read. As a human, you'd have to process each number and then compare...

How to Make a Density Plot in Displayr

Density plots can be a great tool for trying to understand the shape of the distribution of some data. They do not plot the data...

How to do Simple Table Manipulations with R Using Displayr

R is not just a tool for the data science elite. It is an immensely powerful tool that can be used by market researchers in...

5 Alternatives to the Default R Outputs for GLMs and Linear Models

One of the ironic bits of using R is that even though it is often described as being a great tool for data visualization, most...

How to Create a Heatmap in Displayr

Heatmaps are a great way to pick up patterns in tables of data. The heatmap represents the table by shading the cells according to the...

What is Survey Data Processing?

Survey data processing is the crucial step that follows the collection of any survey data. The aim of data processing is to manipulate or transform...

How to Create a Box Plot in Displayr

Box plots are used to display the median, interquartile range, and outliers for a set of numeric data. They let you focus on the characteristics...

What is a Conversion Rate?

A conversion rate is the percentage of people or companies that move from one stage to the next stage in a process. Common examples include...

How to Make a Radar Chart in Excel

Radar charts are a great way to visualize two-dimensional data and show the differences between sub-groups. Think of them as a line chart that's been...