small data

Journalism

The smaller the data, the bigger the story. Edited by Dan Nguyen // @dancow

Latest updates

19 Jan 2014 » The reading list grows
09 Nov 2013 » Class notes for 10/28, the Final, and free books
20 Oct 2013 » Class notes for 10/21 - Visualization
15 Oct 2013 » Published tutorial on data mapping with Fusion Tables
08 Oct 2013 » Posted a beginner's guide to using S3 for web hosting
07 Oct 2013 » Outline for Oct. 7, 2013 class
30 Sep 2013 » Outline for Sept. 30 class
23 Sep 2013 » Outline for Sept. 23 class
16 Sep 2013 » More and less
02 Sep 2013 » First Commit

small data Journalism was created to accomodate the Fall 2013 Data Journalism course at New York University's School of Continuing and Professional Studies.

I wanted my students to have a convenient place to find course-related information, data files, and guides. Since the course aims to take a practical and generalized approach to data journalism, there's no reason not to open it to the world. And since it's on Github, feel free to submit fixes, suggestions, and criticism.

There's not much info here except for a list of readings and the class syllabus, but I'll update it throughout the session (and afterwards). You can read more about the authorship and technical details behind this book in the About section.

Introduction

The philosophy and approach of small data Journalism toward data journalism.

Syllabus for Data Journalism, Fall 2013 at NYU-SCPS

Course information and tentative classwork and assignments. Note: The class is over but you can still read the class lessons at the above link

Practical Guides

For my class, I wrote up a couple of detailed technical guides. There are several more I haven't finished and hope to publish soon.

Publishing Static Websites on Amazon S3

I wanted my students to have the option to easily and extremely cheaply build their own home on the web, in case other content-sites weren't flexible enough.

Mashing and Mapping Data with Fusion Tables

How to use Google Fusion Tables and Spreadsheets for basic data transformation, analysis, and mapping.

Header image credit: The Rain Room, by rAndom International, at the MoMA. Photo by Dan Nguyen