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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
3 Things Your Boss Won’t Care About in Your Data Visualizations
Data Visualization is a critical part of your job as a data scientist, but it does require a bit of skill and a bit of intuition. Visualizations have incredible power to both inform and obscure, so getting the fundamentals of visualization down is a foundational data science skill. When... Read more
Introduction to R Shiny
Alyssa is a speaker for ODSC East 2019 this April 30 to May 3! Attend her talk “Data Visualization with R Shiny.” What is R Shiny? Shiny is an R package that enables you to build interactive web apps using both the statistical power of R and the interactivity... Read more