Visualization.

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).

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Using Displayr
Displayr Dashboard Showcase
22 September 2017 | by Tim Bock

This post provides examples of different types of Dashboards created in Displayr. For each dashboard you can both view the dashboard in View mode (the…

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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.

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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.

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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.

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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.

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Using Displayr
Automatically Update Dashboards in Displayr
11 September 2017 | by Tim Bock

This post shows how to automatically update dashboards and data in Displayr and how to schedule calculations to occur automatically.

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Leaf categories
Dimensionality Reduction Using t-SNE
05 September 2017 | by Jake Hoare

t-SNE is a method for visualizing high dimensional space. It often produces more insightful charts than the alternatives like PCA.

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Using Scatterplots to Chart Trends in Displayr
01 September 2017 | by Jake Hoare

A scatterplot is a great way to visualize two numeric variables from a data set. In this post I describe how to extend a basic…

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Adding Logos to Scatter Plots in Displayr
01 September 2017 | by Jake Hoare

Adding labels to a scatter plot is a great way to increase understanding. By using logos we can take that process a step further. Users…

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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.

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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.

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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.

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Adding Supplementary Points to a Correspondence Analysis
17 August 2017 | by Jake Hoare

Supplementary points of data can be added to a "core" correspondence analysis to aid interpretation without influencing the placement of core data.

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Moonplot to show brand mapping from a correspondence analysis
Moonplots: A Better Visualization for Brand Maps
15 August 2017 | by Tim Bock

Correspondence analysis outputs are difficult to read correctly. Moonplots are a better alternative to brand maps because they are much easier to interpret.

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Scaled world map showing longitude and latitude
Normalization and Scaling in Correspondence Analysis
08 August 2017 | by Tim Bock

This post gives recommendations for the best approach to normalization for different situations, making correspondence plots less misleading.

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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.

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correspondence analysis
Using Bubble Charts to Show Significant Relationships and Residuals in Correspondence Analysis
08 July 2017 | by Tim Bock

While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows

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