How to.

How to Set the Initial Zoom and Position of Geographic Maps
23 April 2019 | by Liz Kucko

Create a geographic map to your liking using the leaflet map package in Displayr Follow instructions on How to Make a Geographic Map in Displayr

Continue reading

6 Ways to Improve the Data Quality of Online Quantitative Surveys
20 November 2018 | by Gracielle Melim

Generating high quality data from your online quantitative surveys is key to getting powerful insights and making data-driven decisions. Find out how.

Continue reading

How to Interpret Logistic Regression Coefficients
25 October 2018 | by Tim Bock

This post describes how to interpret the coefficients, also known as parameter estimates, from logistic regression (a.k.a. binary logit).

Continue reading

How to Interpret Logistic Regression Outputs
24 October 2018 | by Tim Bock

Logistic regression (a.k.a. binary logit or binary logistic regression) is a predictive modeling technique used to predict outcomes involving two options

Continue reading

slice of pie
How to Work Out the Number of Segments in a Market Segmentation
24 September 2018 | by Tim Bock

When segmenting a market, a practical challenge is to work out the number of segments. There are eight approaches to choosing the number of segments.

Continue reading

text analytics vector
How to Analyze Free-Form Text Data from Surveys
15 August 2018 | by Tim Bock

I'll show you three simple methods of analyzing free-form text data from open ended survey questions and explain when you might use each.

Continue reading

The Accuracy of Hierarchical Bayes When the Data Contains Segments
26 July 2018 | by Tim Bock

In this post I explore the implications of using hierarchical Bayes versus using latent class analyis for data which contains segments.

Continue reading

Tidy Data versus Numerate Data graphic
Numerate Data: The Bigger, Stronger, and Faster Offspring of Tidy Data
25 July 2018 | by Tim Bock

Most data scientists automatically use tidy data. In this post, I'll explain what tidy data is and why you'll want to consider an alternative, numerate data

Continue reading

How to Calculate an Average Value from Categorical Data
How to Calculate an Average Value from Categorical Data
18 June 2018 | by Tim Ali

Traditionally, the primary statistic of interest for categorical data is the percentage of the cases in the data that fall into each category. However, there

Continue reading

How To Convert Text Dates To Numeric
How To Convert Text Dates To Numeric
13 June 2018 | by Mathew McLean

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 pr...

Continue reading

How to Work Out the Number of Clusters in Cluster Analysis
How to Work Out the Number of Clusters in Cluster Analysis
03 May 2018 | by Tim Bock

Cluster analysis techniques require users to specify the number of clusters that they require. Six classes of approaches to choosing the number of clusters:

Continue reading

How to Categorize Open-Ended Survey Questions
01 May 2018 | by Mattias Engdahl

Open-Ended Survey Questions occur when you run a survey and ask a respondent to enter some text as an answer, learn how to categorize these questions.

Continue reading

How to Deal with Missing Values in Cluster Analysis
How to Deal with Missing Values in Cluster Analysis
06 April 2018 | by Tim Bock

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 values.

Continue reading

How to Work Out the Number of Classes in Latent Class Analysis
How to Work Out the Number of Classes in Latent Class Analysis
05 April 2018 | by Tim Bock

Latent class analysis requires the analyst to specify the number of classes prior to the application of the technique. Learn more about the seven approaches

Continue reading

How to Reduce the Number of Segmentation Variables
How to Reduce the Number of Segmentation Variables
04 April 2018 | by Tim Bock

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.

Continue reading

How to Write Golden Questions for Market Segmentation
How to Write “Golden Questions” for Market Segmentation
04 April 2018 | by Tim Bock

Golden questions are used to allocate people to segments. They are also known as self-selection questions. The main applications of golden questions are:

Continue reading

How to Enter Data from Paper Surveys?
How to Enter Data from Paper Surveys
29 March 2018 | by Mattias Engdahl

How to enter data from Paper Surveys. Displayr's Matt Engdahl explains the process in a step by step guide.

Continue reading

Which segmentation variables should you use, and why?
Which segmentation variables should you use, and why?
27 March 2018 | by Tim Bock

This article discusses how to work out which segmentation variables are appropriate from a list of variables.

Continue reading

How to Identify Relevant Variables for Market Segmentation
27 March 2018 | by Tim Bock

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

Continue reading

How to calculate sample size
How to calculate minimum sample size for a survey or experiment
22 March 2018 | by Tim Bock

Sample size: What is the smallest number of data points required in the survey or experiment? Data scientist Tim Bock explains in this informative article.

Continue reading

Statistical testing of net promoter score
Statistical Testing of the Net Promoter Score
20 March 2018 | by Justin Yap

How to do statistical testing of the Net Promoter Score. An informative article by Displayr's Justin Yap, including practical examples and code.

Continue reading

trump word cloud
How to Show Sentiment in Word Clouds
14 February 2018 | by Tim Bock

How to create color-coded Word Cloud, with colors are based on sentiment. Step-by-step instructions with a free tool for creating sentiment in Word Clouds.

Continue reading

Image of dirty laundry in a basket
Automatic Data Checking: Let Your Analytics Package Do Your Dirty Laundry for You
16 October 2017 | by Matt Steele

Data checking is a bore (and a step we skip at our peril!). The laundry-list of data checking tasks can be seemingly endless: identifying bogus respondents,

Continue reading

R-Squared
8 Tips for Interpreting R-Squared
31 July 2017 | by Tim Bock

This posts answers the most common questions about how to interpret R-Squared. The basic mistake that people make with R-squared is to try and work out if a

Continue reading

Put PowerPoint into Cruise Control: How to Automatically Update Your Reports
14 July 2017 | by Matt Steele

An exploration of what processes can be automated in PowerPoint, and how different analysis software packages leverage this.

Continue reading

comparing relative weights and partial least squares
Comparing Partial Least Squares to Johnson’s Relative Weights
19 June 2017 | by Tim Bock

Although PLS and Johnson's Relative Weights are both techniques for dealing with correlations between predictors, they give fundamentally different results.

Continue reading

key driver analysis
The Problem with Using Multiple Linear Regression for Key Driver Analysis: a Case Study of the Cola Market
18 June 2017 | by Tim Bock

Why is Multiple Linear Regression the standard technique taught for Key Driver Analysis when it gets it so wrong? The better method is Johnson’s Relative We

Continue reading

statistical significance trick
The Magic Trick that Highlights Interesting Results on Any Table
12 June 2017 | by Tim Bock

This post describes the single biggest time saving technique that I know about for highlighting significant results on a table. That is just one table that show...

Continue reading

Cluster analysis
5 Ways to Deal with Missing Data in Cluster Analysis
10 May 2017 | by Tim Bock

Most cluster analysis algorithms ignore all of the data for cases with any missing data. I explain & compare the five options for dealing with missing data.

Continue reading

Relative importance analysis table
When to Use Relative Weights Over Shapley
19 April 2017 | by Justin Yap

Shapley regression has been gaining popularity in recent years and has been (re-)invented multiple times. However, relative weights, should be used instead.

Continue reading

Chart comparing Shapley with Relative Weights
The Difference Between Shapley Regression and Relative Weights
19 April 2017 | by Justin Yap

Studies have shown that Shapley regression and Relative Weights provide surprisingly similar scores, despite being constructed in very different ways.

Continue reading

Text Analysis: Predicting Engagement from Tweets
27 February 2017 | by Chris Facer

Why do some tweets sizzle while others fizzle? Sometimes it’s obvious. But if you have a large quantity of tweet text, or other text for

Continue reading