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Everybody’s favorite show about bloody power struggles and dragons, Game of Thrones, is back for its seventh season. And since we’re such big GoT fans here, we just had to do a project on analyzing data from the hit HBO show. You might not expect it, but the show... Read more
In April, I gave a talk at d3.bayarea(). Here’s an adaptation of that talk as an introduction to d3.annotation(). LIBRARY BASICS I started this library by gathering examples of annotations that I liked. From those examples, the majority of use cases followed a pattern: a subject(the thing the annotation is annotating), a note,... Read more
Scraping OpenStreetMap and exploring POI in Cloudant and Jupyter Notebooks When working with data, the format of the raw data is not always user-friendly. For instance, the format could be one large binary file, or the data could spread across hundreds of text files. An easy way to solve... Read more
Tutorial: Visualizing Machine Learning Models
One of the big issues I’ve encountered in my teaching is explaining how to evaluate the performance of machine learning models.  Simply put, it is relatively trivial to generate the various performance metrics–accuracy, precision, recall, etc–if you wanted to visualize any of these metrics, there wasn’t really an easy... Read more
WHO Tuberculosis Data & ggplot2
So it has been a while since my previous post on some data taken from the UNHCR database. This post we’ll bring it back to the topic of infectious diseases (check out my other posts on the SIR model and MRSA typing). For this post, as similar to previous ones, I give a guide through... Read more
Farmer’s Markets
A series of data visualizations on Farmers’ Market data from data.gov. Dataset Properties Name Location (lat, long, city, state, address) Hours of operation Different goods categories and a yes/no if they’re available at that market UNDERSTANDING THE DATASET I made the following graphic to understand the distribution of the 29 goods... Read more
Popular Music Lyrics Have Become More Negative Over the Decades
This post is guest-written by Alex Lacey, a student at The Ohio State University. It was inspired by the ideas (and used some of the code) from this previous Big-Ish data post. Popular music is constantly evolving, and the changes it has undergone over the last few decades are quite... Read more
A D3 Image Is Worth A Thousand Words: Interview With Morgane Ciot
Editor’s Note: Morgane, Data Robot and ODSC have been working together for a few years bringing Data Science insights and capability to the masses, so if you missed Morgane’s Talk at ODSC EAST 2017 Check out ODSC West 2017’s Visualization Track. Many things have been said and done in... Read more
Intro to D3
Abstract: Visualizations are the most important way we can intuitively make sense of our data. And the best way to dig deeper into our data is to make those visualizations interactive. Everyone from the New York Times to Google is using interactive visualizations to tell stories and analyze data.... Read more
The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics and place names.... Read more