Visualization.

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

what do people want in a president? A new study finds supporters of Donald Trump believe that financial skills trump decency and ethics.

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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.

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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. That is just one table that show...

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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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Easily Add Logos to a Correspondence Analysis Map in Q
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. Here is a guide to creating them in Q.

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correspondence analysis
Easily Add Images to a Correspondence Analysis Map in Displayr
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. Better still, you can include them from the start of your analysis.

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correspondence analysis
Easily Add Images to a Correspondence Analysis Plot in R
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. This post describes how to create this plot using R.

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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.

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pictograph_vs_pie_vs_bar
Where Pictographs Beat Bar Charts: Proportional Data
03 May 2017 | by Carmen Chan

Pictographs are exceptionally good for displaying proportional data because they have an intrinsic scale and show quantities visually.

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Pictograph of alcohol consumption
Where Pictographs Beat Bar Charts: Count Data
03 May 2017 | by Carmen Chan

Pictographs are often ridiculed, but their bad reputation is not deserved. There are situations where pictographs are better than bar charts.

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Ranking Plot: Main Cause of Death by Age
Ranking Plots: Illustrating Data with Different Magnitudes
02 May 2017 | by Tim Bock

The Ranking Plot, also known as rank flow plots, are particularly useful when comparing data that is complex or that differs in magnitude.

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correspondence Analysis Visualization
5 Ways to Visualize Relative Importance Scores from Key Driver Analysis
26 April 2017 | by Tim Bock

5 ways of presenting the results of key driver analysis techniques, such as Shapley Value, Kruskal Analysis, and Relative Weights.

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Scatterplots
Labeled Scatter Plots and Bubble Charts in R
26 April 2017 | by Tim Bock

Labeled scatter plots and bubble charts can be easily formatted using the rhtmlLabeledScatter R package.

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heatmap illusion
Too Hot to Handle? The Problem with Heatmaps
13 April 2017 | by Tim Bock

Heatmaps are cool. Most people like them. They are so much prettier than a bar chart. However, psychology tells us that these heatmaps are easy to misread.

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