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

A D3 Image Is Worth ...

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 the realm of analytics, but visualizations […]

Intro to D3

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. D3, an open-source Javascript data visualization […]

How fast does the business landscape change?

How fast does the bu...

Shiny Project contributed by Jiaxu Luo – Data Science Student in the NYC Data Science Academy Bootcamp I. Introduction Do you have any idea how the structure of world economy change over the years? Do you know how the giant companies in the industry you work for evolved and degraded over the years? Which companies in […]

(Over)Simplifying Buenos Aires

(Over)Simplifying Bu...

This is a very rough sketch of the city of Buenos Aires: As the sketch shows, it’s a big blob of homes (VIVIENDAs), with an office-ridden downtown to the East (OFICINAS) and a handful of satellite areas. The sketch, of course, lies. Here’s a map that’s slightly less of a lie: Both maps are based […]

Genomic Data Visualization in Python

Genomic Data Visuali...

Table Of Content General introduction Environment set up What can we plot ? Designing an Object Oriented visualization tool Import the needed packages Create the class what if I use a lot of bam files ? How to calculate a coverage in a bam file given a genomic region ? A modified version to calculate […]

Visualizing Professional Tennis Upsets: ATP 2012-2014 Men’s Singles Matches

Visualizing Professi...

Exploratory Data Analysis Visualization Project contributed by Tyler Knutson – Data Science Student in the NYC Data Science Academy Bootcamp Context Men’s professional tennis is unique in that despite the dominance of a select few competitors at the top of the ATP world rankings, upsets do occur regularly.  How dominant are these top players?  Consider […]

Mapping Amazon, Wal-Mart & Target Warehouses: Which route would Santa take to visit every warehouse in the US?

Mapping Amazon, Wal-...

Editor’s note: Opinions and views expressed in this post do not necessarily reflect the views of #ODSC Let’s face it, if you’re American and you celebrate Christmas chances are you have visited Target, Wal-Mart or shopped at amazon.com this holiday season.  Even if you haven’t shopped there you probably are getting something from one of these retailers…let’s hope […]

Visualizing the Relationship Between Infant Mortality Rates & Resource Availability

Visualizing the Rela...

Introduction We know that war and civil unrest account for a significant proportion of deaths every year, but how much can mortality rates be attributed to a simple lack of basic resources and amenities, and what relationship do mortality rates have with such factors? That’s what I set out to uncover using WorldBank data that […]

Visualizing Top Tweeps with t-SNE, in Javascript

Visualizing Top Twee...

I was looking into various ways of embedding unlabeled, high-dimensional data in 2 dimensions for visualization. A wide variety of methods have been proposed for this task. This Review paper from 2009 contains nice references to many of them (PCA, Kernel PCA, Isomap, LLE, Autoencoders, etc.). If you have Matlab available, the Dimensionality Reduction Toolbox […]