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Has Progress in America Peaked?
Measuring Physical, Personal, and National Development over the past century I recently came across a compelling work of data visualization published by the New York Times. The author sought to prove a point that performance had peaked in men’s speed skating and more broadly in other Olympic sports too. [Related... Read more
Interpreting the 2020 Puerto Rico Earthquake Swarm with Data Science
Using visualizations, maps, time series and Google Trends data science, Puerto Rico earthquakes are described. Since late December 2019 until early January 2020, the southwestern region of the island Puerto Rico has been experiencing a series or swarm of earthquakes, leaving in its wake a trail of destruction and... Read more
Local Regression in Python
I love data visualization make-overs (like this one I wrote a few months ago), but sometimes the tone can be too negative (like this one I wrote a few months ago). Sarah Leo, a data journalist at The Economist, has found the perfect solution: re-making your own visualizations. Here’s her tweet.... Read more
A New Method of Data Mapping – Dimensionality Reduction + Network Theory
When you visit a new place, probably you will rely on a map to guide you from place to place so you could get yourself oriented and help you find the most interesting places. The same happens with data. When you get a new dataset to work with, what... Read more
Parallel Plots for Visualizing Relationships with ggplot2 and ggforce
Parallel plots are useful for understanding the connections in a data set. In this post, we will demonstrate how ggplot2 and ggforce packages can be combined to create Parallel set plots–an extension of parallel plots.  Parallel set plots depict... Read more
Why We Need Graph Analytics for Real-World Predictions
Editor’s Note: Learn more about graphs and graph analytics at the talk “Reveal Predictive Patterns with Neo4j Graph Algorithms” at ODSC West 2019 on Wednesday, October 30th. As data becomes increasingly interconnected and systems increasingly sophisticated, it’s essential to make use of the rich and evolving relationships within our... Read more
Interpretable Knowledge Discovery Reinforced by Visual Methods
Editor’s Note: See Boris Kovalerchuk’s talk “Interpretable Knowledge Discovery Reinforced by Visual Methods” at ODSC West 2019. Visual reasoning and discovery have a long history. Chinese and Indians had visual proof of the Pythagorean Theorem in 600 B.C. before it was known to the Greeks. Scientists such as Bohr,... Read more
Data Visualization for Academics
One of the reasons I am excited about the rise of data journalism is that journalists are doing amazing things with visualization. At the same time, one of my frustrations with academic research is that the general quality of visualization is so poor. One of the problems is that... Read more
Telling Human Stories with Data
Editor’s Note: Be sure to attend Alan’s talk on this idea of telling human stories with data at ODSC Europe this November 19 – 22 in London! Register now for “Bringing Data to the Masses Through Visualization.” If you’re reading this and you’re part of the ODSC community, the... Read more
Creating Multiple Visualizations in a Single Python Notebook
For a data scientist without an eye for design, creating visualizations from scratch might be a difficult task. But as is the case with most problems, a solution awaits thanks to Python. Those drawn to using Python for data analysis have been spoiled, as more advanced libraries have made... Read more