Visualization.

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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chartjunk
The Secret of “Chartjunk”: Why Misleading Visualizations Aren’t Always Bad
05 April 2017 | by Tim Bock

There is a war in the world of visualization. It is about chartjunk. Designers like to create charts that data viz experts think are appalling, "chartjunk".

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Custom sankey diagrams
Creating Custom Sankey Diagrams Using R
29 March 2017 | by Tim Bock

This posts describes how to create custom Sankey diagrams in R. It explains the basics of Sankey diagrams and provides examples of different layouts.

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Sankey diagram for analyzing survey routings, skips, filters, and response patterns
Visualize Response Patterns and Survey Flow Using Sankey Diagrams
29 March 2017 | by Tim Bock

If you have spent much time analyzing survey data, then you have probably spent a lot of time validating it. Unless you use a Sankey diagram.

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Heatmap
Making Your Data Hot: Heatmaps for the Display of Large Tables
22 March 2017 | by Tim Bock

A heatmap, which replaces the numbers with colors or shades proportional to the numbers in the cell, is a lot easier for our brains to digest than a table.

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It Is Not the Size That Counts: Small Visualizations Are Preferable to Large Visualizations
16 March 2017 | by Tim Bock

All else being equal, small visualizations are better than big visualizations. There is no need to take my word for it. You can prove it to yourself here.

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pie for pi day
A Pie Chart for Pi Day: The Data Scientist Pie Eating Challenge
14 March 2017 | by Tim Bock

Today is national pi day. The number, not the food. I love pie charts. I recently chanced upon some data in need of a pie chart.

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Sankey diagram of a decision tree (classification and regression tree)
Decision Tree Visualizations using Sankey Diagrams
13 March 2017 | by Tim Bock

Sankey diagrams are not just a cool visualization that looks good, they are perfect for displaying decision trees (e.g., CHART, CHAID).

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nested pie chart
Why Pie Charts Are Better Than Bar Charts
07 March 2017 | by Tim Bock

Pie charts tap into our instinctive ability to assess proportions when we look at things and should be considered when we need to communicate proportions.

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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…

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Using Text Analytics to Tidy a Word Cloud
27 February 2017 | by Tim Bock

It is common when people create word clouds that they want more control. Limit the word cloud to frequently occurring words. Join together words in phrases. Automatically…

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Displayr: The Best Tool for Creating a Word Cloud
27 February 2017 | by Tim Bock

This post shows you why Displayr is the best tool for creating word clouds using real data about Tom Cruise (from a time when he was a bit less popular!).

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Engaging Visualization
The 5 Second Rule and the Need to Create Instantly Recognizable Visualizations
16 February 2017 | by Tim Bock

Designers have a small amount of time, perhaps 5 seconds, to engage a viewer. So how do we create instantly recognizable visualizations that engage?

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heatmap
2 Rules for Coloring Heatmaps so That Nobody Gets Burnt
15 February 2017 | by Tim Bock

This heatmap achieves one of the core jobs of visualization: it attracts attention. It does so at too high a cost for me because of its poor use of color.

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