The article introduces the Crystal Bar Chart, a visualization technique for compressing data into a small space using overlapping shapes along a central axis, representing one-dimensional data grouped by sequential differential clustering. The visualization pairs well with various other tools for examining data series in academic and professional work, providing a fun way to discover insights. Python implementation and Tableau Public examples are given, showing the practical applicability of the Crystal Bar Chart. For more details, please refer to the original article.
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Learn about Crystal Bar Charts and create your own with Python
Crystal Bar Chart by Nick Gerend
Introduction
Understand data through the lens of data analysis and visualization using Crystal Bar Charts, a new technique for visualizing a series of data through threshold-based clustering. It offers a fresh approach to gathering insights and pairs well with conventional methods like histograms and box plots.
Crystal Bar Chart
Discover how the Crystal Bar Chart uses alternating shades of gray to illustrate different clusters, making it a practical and visually appealing solution for data visualization.
Inspiration
Explore the background and inspiration behind the development of the Crystal Bar Chart, including its initial creation and generalization with threshold-based clustering.
Crystal Bar Chart Algorithm
Understand the process of drawing the Crystal Bar Chart, the key features, and the Python implementation of the algorithm. Learn about the inputs and outputs of the algorithm, and the potential future updates to enhance its capabilities.
Tableau Public Implementation
Get a tutorial for implementing the Crystal Bar Chart visualization in Tableau Public, including the necessary steps and interactions.
Conclusion
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