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.

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...

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...

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...

8 Tips for Interpreting R-Squared

Hopefully, if you have landed on this post you have a basic idea of what the R-Squared statistic means. The R-Squared statistic is a number...

How to Filter a Dashboard Based on User Logins

You can restrict what people see on a Displayr dashboard based on their department, geographic region, or some other user characteristic. For example, you can...

RECENT POSTS
What is Driver Analysis?

What is Rebasing?

Rebasing involves modifying a calculation by changing the sample (base) used in the calculation. For example, if 40% of people say they will vote Democrat…

What is a Top 2 Box Score?

In market research, a Top 2 Box score is a common method for reporting results of categorical scale questions in which the top two responses…

How To Convert Text Dates To Numeric

Formatting and cleaning data is a crucial and often time-consuming step in any data analysis. One frequent step in this process involves converting text dates…

What is String Splitting?

String splitting is the process of breaking up a text string in a systematic way, so that the individual parts of the text can be…

What is Correlation?

Correlation is usually defined as a measure of the linear relationship between two quantitative variables (e.g., height and weight). Often a slightly looser definition is…

What is Data Sorting?

Data sorting is any process that involves arranging the data into some meaningful order to make it easier to understand, analyze or visualize. When working…

What is a Random Forest?

A random forest is an ensemble of decision trees. Like other machine-learning techniques, random forests use training data to learn to make predictions. One of…

How to Stack Data in SPSS?

Data stacking is a data preparation step where a data set is split into subsets, and the subsets are merged by case (or stacked on…

How to Work Out the Number of Clusters in Cluster Analysis

Most cluster analysis techniques require users to specify the number of clusters that they require. There are six broad classes of approaches to choosing the…

How to Categorize Open-Ended Survey Questions

When you run a customer feedback survey and ask a respondent to enter some text as an answer, then it is very likely that most…

What is Selection Bias?

Selection bias is the term used to describe the situation where an analysis has been conducted among a subset of the data (a sample) with...

What is a Distance Matrix?

A distance matrix is a table that shows the distance between pairs of objects. For example, in the table below we can see a distance…

What is Raw Data?

Raw data typically refers to tables of data where each row contains an observation and each column represents a variable that describes some property of…

What is a P-Value?

A p-value is quantitative summary of the evidence in favor or against a hypothesis of interest. It is computed using a statistical test. It is…

What are the Strengths and Weaknesses of Hierarchical Clustering?

If you want to do your own hierarchical clustering, use the template below – just add your data! The strengths of hierarchical clustering are that…

What are Segmentation Variables?

Market segmentation typically involves forming groups of similar people. The characteristics of people that are used to determine if the people are similar are called...

What is Autocorrelation?

Auto correlation is a characteristic of data which shows the degree of similarity between the values of the same variables over successive time intervals. This…

What is the Market Research Process?

The market research process consists of five steps: formulation of the research question(s), designing a research methodology, data collection, analysis, and communication of the findings.…

How to Deal with Missing Values in Cluster Analysis

Most of the widely used cluster analysis algorithms can be highly misleading or can simply fail when most or all the observations have some missing…

What are Variance Inflation Factors (VIFs)?

The variance inflation factor (VIF) quantifies the extent of correlation between one predictor and the other predictors in a model. It is used for diagnosing…

What is Linear Regression?

Linear regression quantifies the relationship between one or more predictor variables and one outcome variable. Linear regression is used for predictive analysis and modeling. For example,…

How to Work Out the Number of Classes in Latent Class Analysis

Latent class analysis, which is also known as finite mixture modeling, requires the analyst to specify the number of classes prior to the application of...

Goodbye DataCracker, hello Displayr

The team that brought you DataCracker has built a new app called Displayr. Displayr now replaces DataCracker.

How to Reduce the Number of Segmentation Variables

A practical challenge when working out how to segment is that there are usually lots of possible variables, and you need to reduce that number.…

How to Write “Golden Questions” for Market Segmentation

Golden questions are questions used to allocate people to segments. They are also known as self-selection questions.

Querying data from Salesforce using Displayr and R

You can easily extract data from Salesforce.com using Displayr and the Salesforce.com API’s. In this post, we show you how to generate a Security Token…

What is Cluster Analysis?

Cluster analysis refers to algorithms that group similar objects into groups called clusters. The endpoint of cluster analysis is a set of clusters, where each…

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 Shapley Value Regression?

Shapley Value regression is a technique for working out the relative importance of predictor variables in linear regression. Its principal application is to resolve a…

How to Enter Data from Paper Surveys

You’ve done it! You’ve collected data from 500 paper survey respondents and it’s all recorded onto paper forms. It’s time to start doing the analysis,…

What is Hierarchical Clustering?

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. The endpoint is a set of…

What is k-Means Cluster Analysis?

k-means cluster analysis is an algorithm that groups similar objects into groups called clusters. The endpoint of cluster analysis is a set of clusters, where...

Which segmentation variables should you use, and why?

This article discusses how to work out which segmentation variables are appropriate from a list of variables. If you do not yet have a list,…

How to Identify Relevant Variables for Market Segmentation

This page lists the key frameworks and processes for identifying relevant variables to use when segmenting a market. The best way to identify relevant segmentation...

What is Market Definition?

Market definition refers to defining the boundaries of a market, with a specific focus on which brands or products compete.

What is Operational Segmentation?

An operational segmentation is a market segmentation that is integrated into the day-to-day running of a business and which guides operational decisions, such as how...

What is Market Segmentation Research?

Market segmentation research is research that is used to help a firm identify segments in a market, with the end goal of developing different strategies...

What is Market Segmentation?

Market segmentation involves splitting a market into segments and developing different tactics and strategies for the segments. The term market segmentation is often used interchangeably...

How to calculate minimum sample size for a survey or experiment

A practical question when designing a customer feedback survey or experiment is to work out the required sample size. That is, what is the smallest…

What is a Dendrogram?

A dendrogram is a diagram that shows the hierarchical relationship between objects. It is most commonly created as an output from hierarchical clustering. The main…

Statistical Testing of the Net Promoter Score

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How to Show Sentiment in Word Clouds using R

The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…

How to Show Sentiment in Word Clouds using Displayr
The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…

How to Show Sentiment in Word Clouds using Q
The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…

How to Show Sentiment in Word Clouds

In this post, I describe how to create color-coded Word Cloud, where the colors are based on sentiment. Not only do you get to see…

Easily Converting Strings to Times and Dates in R with flipTime

Date conversion in R can be a real pain. However, it is a very important initial step when you first get your data into R...

Checking Convergence When Using Hierarchical Bayes for MaxDiff

A popular approach to modelling MaxDiff data is Hierarchical Bayes, which can provide better predictive accuracy than other approaches (like latent class analysis). However, it...

Using Hierarchical Bayes for MaxDiff in Q

In this blog post I describe how to run Hierarchical Bayes for MaxDiff in Q, and explain the options and outputs available.

Using Hierarchical Bayes for MaxDiff in Displayr

In this blog post I describe how to run Hierarchical Bayes for MaxDiff in Displayr, and explain the options and outputs available.

How to Create a Price Sensitivity Meter in Q

Van Westendorp analysis, common in market research, aims to find the optimal price point at which to sell a good or service. You find this…

How to Export LDA Functions from Q into Excel

When using linear discriminant analysis (LDA) in market research, a common need is to obtain what are known as discriminant functions. These allow the analysis…

Allowing Users to Filter Pages in Dashboards

This post describes how to set up documents to permit Displayr users to filter pages in an online document (i.e., dashboard). The user experience When…

Exporting LDA Functions from Displayr into Excel

In this post I show how discriminant functions can be extracted from a Linear Discriminant Analysis in Displayr. Such functions are often used in Excel…

How to Build a Brand Funnel in Q using R

Have you been in a situation where you need to update a KPI summary, and you want everything within the one table? This is particularly…

Filtering a Subset of Tables and Visualizations on a Page in Displayr

When you are working in Displayr’s edit mode, you can choose which items on a page to filter by selecting the items and applying a filter. When…

Case Study: Analyzing Survey Data

This is the second in a series of posts designed as a DIY training course for using Displayr. In this post, I illustrate the basics of…

A Short Course for Learning Displayr

This post is written as a DIY training course in learning Displayr. It links off to a series of other posts, which have been written…

Case Study: Updating Reporting

This is the sixth in a series of blog posts designed as a DIY training course for using Displayr. It illustrates how to update analyses and reporting…

Case Study: Visualizations

This is the fifth in a series of blog posts designed as a DIY training course for using Displayr. This post illustrates a number of…

Case Study: Advanced Analysis of Experimental Data (MaxDiff)

This is the fourth in a series of blog posts designed as a DIY training course for using Displayr. This post presents the analysis of…