Data Visualization Archives

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Data Visualization

Drawing a map of distributed data systems

Blog Data Visualizationposted by Martin Kleppmann May 16, 2017

How we created an illustrated guide to help you find your way through the data landscape. Designing Data-Intensive Applications, the book I’ve been working on for four years, is finally finished, and should be available in your favorite bookstore in the next week or two. An... Read more

Choroplethr v3.6.0 is now on CRAN

Data Visualization Modeling R Tools Tools & Languagesposted by Ari Lamstein May 9, 2017

Choroplethr version 3.6.0 is now on CRAN. This version adds functionality for getting and mapping demographics of US Census Tracts. You can install it from the R console as follows: 1 2 3 install.packages("choroplethr") packageVersion("choroplethr") ‘3.6.0’ To use this functionality you will need an API... Read more

NYC Pre-K Explorer

Data Visualization Modeling Researchposted by NYC Data Science Academy April 26, 2017

Shiny Project contributed by Amy Tzu-Yu Chen – Data Science Student in the NYC Data Science Academy Bootcamp Motivation In 2013, Mayor De Blasio campaigned on a promise of universal pre-kindergarten. The program makes access to free pre-kindergarten education available to all NYC families, regardless of child’s abilities and... Read more

Exploring the Relationship between Religion and Demographics in R

Data Visualization Modeling R Statistics Tools & Languagesposted by Julia Silge April 25, 2017

Today’s guest post is by Julia Silge. Take a look at her work on (“Mapping US Religion Adherence by County in R“) where she demonstrated how to work with US religion adherence data in R. In this post she explores the relationship between that dataset and US... Read more

9 ways to Level up your Data Science practice

Data Visualization Data Wrangling Modeling Predictive Analytics Tools Tools & Languages Learning data scienceposted by Domino Data Lab April 24, 2017

We love reading articles with tips and best practices, and we agree with a lot of the advice we see out there (#5 on this list is great!). So, we asked the Domino team for advice to pass on to researchers and scientists searching for ways to get to... Read more

United Airlines and Data Technologies to avoid “Turbulence”

Data Visualization Modeling Research Statistics Data Journalismposted by Diego Arenas, ODSC April 13, 2017

It wasn’t an overbooking problem. United Airlines was trying to move four flight crew members to the next airport. They forced passengers to get off the plane with the consequences we saw on the video from last Sunday, but don’t take our word for it. Let’s talk... Read more

(Over)Simplifying Buenos Aires

Data Visualization Modeling Data Visualization|Open Dataposted by Marcelo Rinesi March 31, 2017

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... Read more

Kaggle FIFA Stats

Blog Data Visualization Statistics Sports Analytics|statisticsposted by Gordon Fleetwood November 12, 2016

The phenomenon of the “yearly sports game release” is a well established tradition in the videogame industry. The biggest is, perhaps, the FIFA franchise, reigning supreme leader in its niche, simulated soccer, for most of its over twenty year history. EA Sports released the latest iteration,... Read more

Pokémon Go Data

Blog Data Visualization Data Wrangling Augmented Reality|data|Data analysis|Lifeposted by Gordon Fleetwood September 12, 2016

Editor’s Note: If you’re anything like me, stubbornly loyal to Pokémon Red, now trying to catch up to the cool kids post Poképocalypse, you’ll find this exploration worth a share. About a month ago Pokémon Go, Niantic’s mobile augmented reality game based on the popular franchise,... Read more

Deutsch Credit Future Telling: part 2

Blog Data Visualization NLP/Text Analytics Predictive Analytics classification|Data Science|Predictive Analyticsposted by Gordon Fleetwood August 22, 2016

To continue on this first path, it’s logical to proceed with hyperparameter tuning on the three algorithms previously mentioned in part 1. Here the Random Forest Classifier (R.F.C) pulls ahead with 77% accuracy while the other two are still around 75%. Where there were three on... Read more