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- Apr 07 2014
bl.ocksplorer.org – Learning d3.js by Example
We’ve been working quite a bit with d3.js here at Bocoup. From working on d3.chart to our work with clients like Climate Central. Regardless of our endeavor, one thing stayed true – we rely on the many examples out there showing off how to use various esoteric features of d3.js. Many of these examples live […]
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bl.ocksplorer.org – Learning d3.js by Example - Feb 21 2014
d3.chart v0.2: Iterating on Reusability
It’s been about eight months since we announced d3.chart, and today we’re excited to release a new version of the framework for creating reusable visualizations. We’ve strived to incorporate as many of the lessons we learned in the eight months since the initial release. For detailed explanations of these changes, see our migration guide and […]
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- Jan 23 2014
Announcing: Data Visualization Best Practices on Mobile Devices – Our New Knight Foundation Prototype Grant
Translating data visualization to smaller resolutions is a challenge that can’t be solved with responsive design techniques alone. New interaction models and different visualization techniques are required to accomodate smaller interfaces. We’ve spent a lot of time thinking about this problem as part of our consulting work and are very excited to be one of […]
Continue ReadingAnnouncing: Data Visualization Best Practices on Mobile Devices – Our New Knight Foundation Prototype Grant- Tagged in:
- data analysis,
- data visualization,
- design
- Oct 29 2013
Climate Central Surging Seas Risk Finder
We recently had the opportunity to work with the very talented team over at Climate Central, an independent organization of leading scientists and journalists researching and reporting the facts about our changing climate and its impact on the American public. The scarcity of resources that convey factual information about the effects of climate change in […]
Continue ReadingClimate Central Surging Seas Risk Finder - Oct 21 2013
Towards “Responsiveness” with d3.chart.js
While data visualization is growing as a medium on the Open Web, practitioners of the field still struggle to make data visualization “work” on different screens. The question “how do I render at different sizes?” is an important one, but only tackles a portion of the greater challenge of “what does it mean to create […]
Continue ReadingTowards “Responsiveness” with d3.chart.js - Jun 03 2013
Global Name Data
Open Data, Open Gender Tracker and the Open Web Open data is a core element to building data visualization on the Open Web, driving our ability to reproduce, tinker with and expand visualizations. In a tool like Open Gender Tracker, open data becomes invaluable. Open Gender Tracker relies on name and gender mappings in order […]
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- data analysis,
- data visualization
- Apr 09 2013
Announcing OpenGenderTracker
Computationally Tracking Gender Balance in News Content with Open Web Technologies Last fall, the Knight Foundation granted us from the Prototype Fund to build OpenGenderTracker, a suite of open source tools for analyzing and visualizing gender representation in journalism through the examination of pronouns in bylines and news content. Bocoupers Irene Ros and Adam Hyland […]
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- data analysis,
- data visualization
- Oct 29 2012
Miso Dataset 0.3 Release
This post was written in collaboration with Alex Graul, Miso Project‘s co-creator. We are excited to release version 0.3.0 of Miso Dataset today that is full of new features. For the gory details, you can take a look at the closed issues, but this post will cover the major enhancements to the Dataset library. Miso […]
Continue ReadingMiso Dataset 0.3 Release - Oct 16 2012
ReConstitution 2012 – Live Debate Deconstruction and Visualization
If you’re planning to catch the U.S. presidential debates tonight, you should have a second screen open and a browser pointed to ReConstitution 2012, a web application that we collaborated on with Sosolimited for The Creators Project. ReConstitution 2012 is a live deconstruction of the presidential debates. It scrapes the closed caption data from the […]
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- data analysis,
- data visualization,
- design
- Jun 06 2012
Padding a Time Series in R
When analyzing and visualizing a new dataset, you’ll often find yourself working with data over time. Most software assumes that the data in a time series is collected at regular intervals, without gaps in the data: while this is usually true of data collected in a laboratory experiment, this assumption is often wrong when working […]
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- data analysis,
- data visualization,
- tutorial