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Homepage | Data Driven Journalism Coding for Journalists 101 : A four-part series | Dan Nguyen's Hack Place Photo by Nico Cavallotto on Flickr Update, January 2012: Everything…yes, everything, is superseded by my free online book, The Bastards Book of Ruby, which is a much more complete walkthrough of basic programming principles with far more practical and up-to-date examples and projects than what you’ll find here. I’m only keeping this old walkthrough up as a historical reference. I’m sure the code is so ugly that I’m not going to even try re-reading it. So check it out: The Bastards Book of Ruby -Dan Update, Dec. 30, 2010: I published a series of data collection and cleaning guides for ProPublica, to describe what I did for our Dollars for Docs project. So a little while ago, I set out to write some tutorials that would guide the non-coding-but-computer-savvy journalist through enough programming fundamentals so that he/she could write a web scraper to collect data from public websites. DISCLAIMER: The code, data files, and results are meant for reference and example only.

Ces diaporamas sonores qui marquent le genre à leur manière at PODCASTR L’histoire récente du diaporama sonore a été marquée par plusieurs productions multimédias qu’il faut absolument connaître. Très différents de part les sujets traités (graves ou légers), ces diaporamas sont remarquables pour diverses raisons. Mais ils ont tous en commun d’apporter des innovations de construction et de narration. Autrement dit, des bonnes pratiques dont il faut s’inspirer pour la suite. Cette liste d’exemples n’est bien-sûr pas exhaustive. Alors n’hésitez pas à recommander des récits multimédias qui vous ont particulièrement marqués! One in 8 million (NYT) : l’élégance de la sobriété Conçue par le New York Times en 2009, cette série de 54 diaporamas est bien connue des amateurs du genre. Si le diaporama ne s’affiche pas, voir le site du NYT. L’investiture de Barack Obama (CNN) : le traitement du verbatim Publié en 2008 sur le site de CNN, ce diaporama illustre en photos les meilleurs moments du discours d’investiture d’Obama. Après la guerre, un sujet plus récréatif.

10 tools that can help data journalists do better work, be more efficient It’s hard to be equally good at all of the tasks that fall under data journalism. To make matters worse (or better, really), data journalists are discovering and applying new methods and tools all the time. As a beginning data journalist, you’ll want to develop a sense of the tools others are using to do the work you admire. You won’t be able to learn them all at once, and you shouldn’t try. You should, however, develop a sort of ambient awareness of the tools in use (something like the knowledge Facebook gives you about the lives of your high-school classmates). More immediately, though, choose one or two tools and make them part of your DNA. 1. Almost every data journalist begins with the spreadsheet. The spreadsheet is a nearly universal data format, particularly if you save your data as a plain-text delimited file, such as a comma-separated values file. There are several sites and courses available to help you develop spreadsheet skills. Here’s a tutorial to get you started. 3. 4.

How To Optimize Twitter: Be Real, Profiles, RT, Hashtags & More Twitter loves me, Twitter loves me not. Getting found and heard on Twitter isn’t as easy as the early days. Back then you could hang out and easily meet people at what was referred to as the largest online cocktail party. Today you can still mix and mingle with top influencers, but the party is getting bigger and the saturation level is getting murkier. Twopchart’s latest figures, and countdown chart, show Twitter growing at a rate of around 11 accounts per second and reaching 500 million registered users this month. Why is Twitter winning the social media race as the “go to” platform for breaking news and influencing others whether you are a top tier journalist, celebrity, brand or personality? Simplicity and Visibility Twitter’s popularity rose out of its simplicity. Twitter is also winning in visibility. How can a brand best optimize with the times and stay in the tweet game without losing time and money? Keep it Real Optimizing the Twitter Profile Tweet Structure Example: Hashtag Tips

Poynter. | Standing for journalism, strengthening democracy | Journalism training, media news & how to's Network Graph - Fusion Tables Help Current limitations include: The visualization will only show relationships from the first 100,000 rows in a table. A filter can include rows from 100,001 or beyond in the table, but the graph will still not display them. Internet Explorer 8 and below are not supported. When using Fusion Tables with an unsupported browser, the Network Graph visualization will not be available. Each row of a table represents one relationship in the graph. The network graph shows each row as a line connecting a person and a dog. To create a Network Graph in the New look: [+] > Add chart Click the Network Graph button. To create a Network Graph in Classic: Experiment > Network Graph By default, the first two text columns will be selected as the source of nodes: Node column 1 and Node column 2. Adjust the Network Graph's display: Select a number column to act as a Weight factor for line length. Interact with the Network Graph: "Camera" zoom means nodes become bigger but not more or less numerous. Good to know:

Les impostures de « l’écriture web » ecriture web Si l’on en croît la vulgate de certains “experts” journalistiques ou marketing, écrire pour le web requiert un savoir-faire complexe et bien précis. Il s’agirait de suivre des règles incontournables si l’on veut plaire au lecteur et faire de l’audience. Ce point est soulevé par Morgane Tual dans son dernier coup de gueule via lequel elle raille ces formateurs sexagénaires débitant ce genre de règle absurde avec une “certitude insensée”. Ecrire court à tout prix alimente l’idée qu’on ne peut pas créer de la profondeur sur Internet, que tout est forcément superficiel et creux. En réalité, il ne faut pas écrire court, il faut écrire “dense” : dire un maximum de choses avec un minimum de mots. Mais écrire dense, cela veut dire avoir des choses à dire, avoir de l’information, des faits à délivrer. En réalité, le verbiage avait surtout pour fonction d’augmenter artificiellement la pagination rédactionnelle, pour augmenter le nombre d’insertions de pub. le-petit-clearstream

The Best Data Mining Tools You Can Use for Free in Your Company Data mining or “Knowledge Discovery in Databases” is the process of discovering patterns in large data sets with artificial intelligence, machine learning, statistics, and database systems. The overall goal of a data mining process is to extract information from a data set and transform it into an understandable structure for further use. Here is a simple but fascinating example of how data mining helped dissipate wrong assumptions and conclusions about girls, and take action with tremendous social impact. For long time, the high rate of dropout of girls in schools in developing countries were explained with sociological and cultural hypothesis: girls are not encouraged by indigenous societies, parents treat girls differently, girls are pushed to get married earlier or loaded with much more work than boys. In western countries and in Asia, companies and governments are using data mining to make great discoveries. 1. 2. 3. PSPP is a program for statistical analysis of sampled data. 6. 7.

The Future of News