Visualization.

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

In my sordid past, I was a data science consultant. One thing about data science that they don’t teach you at school is that senior managers…

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

If you have tried to communicate research results and data visualizations using R, there is a good chance you will have come across one of…

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

The seven steps to create an online choice simulator are detailed in the post. In addition, an interactive example of a choice simulator is provided…

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

Retrospectively adding supplementary points to a correspondence analysis can greatly assist in the interpretation of results. In other words, including supplementary row or column points…

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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

Moonplots are a better way to visualize brand maps than standard correspondence analysis outputs, which are often difficult to read correctly. The Moonplot resolves the…

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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. Correspondence analysis…

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

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

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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 the strongest relationships, and sometimes…

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Trump delivers an address
Why Capability Trumps Character for Supporters of the US President
06 July 2017 | by Tim Bock

American supporters of Donald Trump believe that financial skills are more important in a president than decency and ethics, a new survey shows. Data science…

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Traditional Crosstab
Old-School Crosstabs: Obsolete Since 1990, but Still a Great Way to Waste Time and Reduce Quality
27 June 2017 | by Tim Bock

The table above is what I call an old-school crosstab. If you squint, and have seen one of these before, then you can probably read it. The basic…

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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. The table below, which shows…

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correspondence-analysis-sales
When to Use, and Not Use, Correspondence Analysis
23 May 2017 | by Tim Bock

Correspondence analysis is one of those rare data science tools which make things simpler. You start with a big table that is too hard to…

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correspondence analysis movements
Using Correspondence Analysis to Compare Sub-Groups and Understand Trends
22 May 2017 | by Tim Bock

This post shows how to use correspondence analysis to compare sub-groups. It focuses on one of the most interesting types of sub-groups: data at different points…

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Multiple Correspondence Analysis
Correspondence Analysis Versus Multiple Correspondence Analysis: Which to Use and When?
22 May 2017 | by Tim Bock

Let me cut to the chase. Multiple correspondence analysis sounds better than correspondence analysis. But, for 99% of real-world data problems, correspondence analysis is the…

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How Correspondence Analysis Works (A Simple Explanation)
19 May 2017 | by Tim Bock

Correspondence analysis is a data science tool for summarizing tables. This post explains the basics of how it works. It focuses on how to understand the underlying…

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correspondence analysis movements
How to Interpret Correspondence Analysis Plots (It Probably Isn’t the Way You Think)
19 May 2017 | by Tim Bock

Correspondence analysis is a popular data science technique. It takes a large table, and turns it into a seemingly easy-to-read visualization. Unfortunately, it is not quite…

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