R.

linear discriminant analysis example
Linear Discriminant Analysis in R: An Introduction
11 October 2017 | by Jake Hoare

How does Linear Discriminant Analysis (LDA) work and how do you use it in R? This post answers these questions and provides an introduction to LDA.

Continue reading

Dashboard Design: 8 Types of Online Dashboards
03 October 2017 | by Tim Bock

What's the best type of online dashboards for your data? 8 types of dashboards are reviewed including KPI, PowerPoint replacement & Interactive Infographic.

Continue reading

shepard diagram
Goodness of Fit in MDS and t-SNE with Shepard Diagrams
28 September 2017 | by Jake Hoare

Shepard diagrams are a great way to assess goodness of fit for data reduction methods such as MDS and t-SNE.This post shows you how and includes the data.

Continue reading

Interactive infographic
How to Create an Interactive Infographic
26 September 2017 | by Tim Bock

A step-by-step guide on how to create an interactive infographic using an example from Canva, Displayr and R (the R code is included in this post).

Continue reading

Visualization to Show a Single Number
12 Visualizations to Show a Single Number
20 September 2017 | by Tim Bock

How do you pick the best visualizations to represent a single number in an eye-catching and informative way? Here are 12 tried and true tips and ticks.

Continue reading

Redundant elements on a chart
Improve the Quality of Data Visualizations Using Redundancy
20 September 2017 | by Tim Bock

Accuracy and readability of visualization can be improved by adding redundancy, which is elements like color, shape, size, labels, and order.

Continue reading

alternatives to word clouds
7 Alternatives to Word Clouds for Visualizing Long Lists of Data
16 September 2017 | by Tim Bock

Seven alternatives to word clouds for visualizing data from long lists are illustrated. Examples are created using R and can be explored via a tool.

Continue reading

Chart templates using R
Create Chart Templates Using R Functions
14 September 2017 | by Tim Bock

A step by step guide on how to create chart templates using R functions. Chart templates allow you to standardize the look and feel of reports.

Continue reading

automate emails using R
Automatically Write and Email Reports with R, SendGrid, & Displayr
11 September 2017 | by Tim Ali

How to create a system to automatically write and email reports based on automatically computed analyses (yep, everything automated).

Continue reading

Great looking dashboard
Create and Update PowerPoint Reports using R
31 August 2017 | by Tim Bock

An introduction to three tools that make creating and updating PowerPoint reports using R much more efficient and less painful.

Continue reading

Complex data visualization example
Layered Data Visualizations Using R, Plotly, and Displayr
30 August 2017 | by Tim Bock

How to combine and format visual layers, elements, images and charts into one data visualization using R, Plotly and Displayr.

Continue reading

Picture of a sea of blu-ray discs
Analyzing Google Trends Data in R
24 August 2017 | by Jake Hoare

How to download Google Trends data in R. Google Trends search data can be manipulated and explored in more detail if you analyze it using R.

Continue reading

Choice Simulator
How to Create an Online Choice Simulator
22 August 2017 | by Tim Bock

A worked example is used to show how to create an online choice simulator (conjoint simulator). Calculations are done in R & it is hosted in Displayr.

Continue reading

correspondence analysis example
Understanding the Math of Correspondence Analysis
08 August 2017 | by Tim Bock

If you've ever wanted a deeper understanding of what's going on behind the scenes of Correspondence analysis, then this post is for you. Examples are in R.

Continue reading

singular value decomposition
Singular Value Decomposition (SVD): Tutorial Using Examples in R
02 August 2017 | by Tim Bock

Singular value decomposition (SVD) is explained using examples in R. SVD is a workhorse for techniques that decompose data, such as correspondence analysis.

Continue reading

preview Show information about the snippet editorYou can click on each element in the preview to jump to the Snippet Editor. SEO title preview: Displayr | Automatically Fitting the Support Vector Machine Cost Parameter
Automatically Fitting the Support Vector Machine Cost Parameter
18 July 2017 | by Jake Hoare

I show how to automatically fit the Support Vector Machine cost parameter by automating the manual search for the optimal cost.

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

Partial Least Squares can be used find drivers of consumer preference
Using Partial Least Squares to Conduct Relative Importance Analysis in R
19 June 2017 | by Jake Hoare

Partial Least Squares in R is a great way to conduct relative importance analysis because it effectively compresses the data before regression.

Continue reading

Keep updated with the latest in data science.