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Data Visualization
Farmer’s Markets

Farmer’s Markets

BlogData VisualizationData Visualizationposted by Susie Lu July 27, 2017

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... Read more
Popular Music Lyrics Have Become More Negative Over the Decades

Popular Music Lyrics Have Become More Negative Over the Decades

BlogData Visualizationposted by Jack Schultz July 8, 2017

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... Read more
A D3 Image Is Worth A Thousand Words: Interview With Morgane Ciot

A D3 Image Is Worth A Thousand Words: Interview With Morgane Ciot

BlogData VisualizationD3|Data Visualization|ODSC East 2017posted by Jorge Garcia July 5, 2017

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... Read more
Intro to D3

Intro to D3

ConferencesData VisualizationModelingData Visualization|ODSC East 2017posted by Morgane Ciot June 24, 2017

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... Read more

Song Lyrics Across the United States

BlogData VisualizationResearchResearchposted by Julia Silge June 20, 2017

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... Read more

A Machine Learning Deep Dive into My Spotify Data.

BlogData VisualizationData WranglingModelingPredictive AnalyticsStatisticsposted by George McIntire, ODSC June 10, 2017

This is the second article in our two-part series on using unsupervised and supervised machine learning techniques to analyze music data from Pandora and Spotify. Introduction As you may recall from the previous post I did, where I applied dimensionality reduction and clustering techniques to a set of songs... Read more

What Happened on Twitter During the Champions League Final

BlogData VisualizationNLP/Text Analyticsposted by George McIntire, ODSC June 8, 2017

Last Saturday, in the UEFA Champions League final (think of it as Europe’s Super Bowl), Spanish giants Real Madrid defeated their Italian counterparts Juventus FC 4-1. It was a thrilling match, that saw both sides staking an equal claim to winning the match in the first half, with... Read more
Pandas & Seaborn – A guide to handle & visualize data elegantly

Pandas & Seaborn – A guide to handle & visualize data elegantly

BlogData VisualizationData Wranglingposted by Research Engineer at Tryolabs June 7, 2017

Here at Tryolabs we love Python almost as much as we love machine learning problems. These kind of problems always involve working with large amounts of data which is key to understand before applying any machine learning technique. To understand the data, we need to manipulate... Read more
Regular Expression & Treemaps to Visualize Emergency Department Visits

Regular Expression & Treemaps to Visualize Emergency Department Visits

BlogData VisualizationModelingPythonposted by Eugene Joh June 6, 2017

It’s been a while since my last post on some TB WHO data. A lot has happened since then, including the opportunity to attend the Open Data Science Conference (ODSC) East held in Boston, MA. Over a two day period I had the opportunity to listen to a... Read more

Introduction to Evaluating Classification Models

BlogData VisualizationModelingResearchBusiness|classification|Predictive Analyticsposted by Diego Arenas, ODSC May 26, 2017

In this post we will describe how to evaluate a predictive model. Why bother creating complex predictive models if 5% of the customers will churn anyway? Because a predictive model will rank our clients based on the probability that they  will abandon the company. It helps answer these... Read more
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