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The Data Journalism Handbook

The Data Journalism Handbook [Kindle Edition]

Jonathan Gray , Lucy Chambers , Liliana Bounegru
3.8 out of 5 stars  See all reviews (4 customer reviews)

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Product Description

Product Description

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.

This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.

  • Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations
  • Explore in-depth case studies on elections, riots, school performance, and corruption
  • Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing"
  • Extract information from raw data with tips for working with numbers and statistics and using data visualization
  • Deliver data through infographics, news apps, open data platforms, and download links

Product details

  • Format: Kindle Edition
  • File Size: 9230 KB
  • Print Length: 242 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (12 July 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B008KSAPG8
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Bestsellers Rank: #261,620 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
4.0 out of 5 stars Caveat emptor! 20 July 2012
Format:Kindle Edition
In their handbook, Jonathan Gray, Liliana Bounegru and Lucy Chambers offer a series of inspirational case studies that illustrate the breadth of current data journalism. The projects they highlight are wide-ranging and come from well known news organisations (at least in the UK) such as the BBC and the Guardian, to smaller groups; ProPublica and Hacks/Hackers Buenos Aires, for example.

One of the nice aspects of the book is that it characterises Data Journalism, without applying a premature definition; the discipline is evolving and hard boundaries could be restrictive. However, the "Data journalism in perspective" section by Liliana Bounegru gives some useful background, linking Data Journalism to computer assisted reporting and highlighting the discipline's focus on general trends, rather than specific events. In addition, for those coming from a journalism (rather than a 'data') background the book contains a reasonable amount of unintimidating, practical advice: Pete Warden's section in Chapter 4 ("The web as a data source") and Martin Rosenbaum's section in Chapter 5 ("Data stories") are especially good in this respect. Indeed, many of the case studies describe how a group was formed, how infrastructure was developed or how data were wrangled. These are important tasks, although it would be nice if more attention was paid to 'impact' -- that is, what has changed as a result of these projects? (aside from an increase in traffic to a news organisation's website!).

Where the book fails, however, is in terms of the 'added value' that I was expecting from an O'Reilly edition.
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4.0 out of 5 stars Useful 29 May 2013
By Annie
Format:Kindle Edition|Verified Purchase
Very easy and accessible to download and excellently quick which was great because I needed this book for a Data Journalism paper. I was slightly annoyed at myself when I realised you can access most of the chapters online in a pdf format, but that's not to say the Data Journalism Handbook is worth reading and buying.
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3.0 out of 5 stars Interesting book, needs a bit more tuning 23 Oct 2012
Format:Kindle Edition
I've mostly enjoyed reading this book, although it was repetitive and I did find myself skipping entire chapters.

There were a number of errors and typos and it was clear that the content was pooled together from a number of different sources - some of the articles could do with further editorial review. Some of the articles seemed to be repeating a lot of what others had said which I guess is to be expected when pooling opinions and ideas from people in the field.

There were some insightful ideas and concepts, and some of the stories from teams like The Guardian and BBC were interesting to read, but the overall feel of the book seemed disjointed. It's an interesting read if you want an insight in to how different teams are making the most of available data, tools and techniques for communicating this data. If you can overlook the repetition and the typos then it's worthy of a dig through for stories on how data is becoming important in journalism, and journalism is important for the data.
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4.0 out of 5 stars Good for new data users 11 Aug 2012
By Paysan
Format:Kindle Edition|Verified Purchase
I'd agree with most of the Dillingham review of this book. I'm a mature student and my dissertation is on use of public data. It wasn't a topic I knew much about (I didn't know it was called data journalism, just to begin with). This books gives you a great flavour of the players (governments and publications), the software, the uses of the data. Also good on being skeptical of the data, how to read data, etc. It's all evolving rapidly, so it's just a snapshot, but I found this book awesomely useful in terms of a lot of info in one place. Wish I'd found it earlier. Very useful for anyone looking at structured data that's available to the public. Really wish there was a hard copy edition. I'd buy one of those too.
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Most Helpful Customer Reviews on (beta) 4.0 out of 5 stars  5 reviews
4 of 4 people found the following review helpful
5.0 out of 5 stars Data is not always simply part of the story. Sometimes it *is* the story... 4 Nov 2012
By Thomas Duff - Published on
Occasionally I grab a book that far surpasses my expectations and shifts my perspective of an entire business. This was one of those books... The Data Journalism Handbook, edited by Jonathan Gray, Liliana Bounegru, and Lucy Chambers. As a writer, I was thinking I'd pick up a few points on technical reporting. WRONG! This is about how data is changing the world of journalism in terms of how a story is told and how the reader interacts with it.

Introduction; In The Newsroom; Case Studies; Getting Data; Understanding Data; Delivering Data

The composition of The Data Journalism Handbook is unique, in that over seventy people and organizations contributed the content. These contributions range from ideas on the topic to case studies of stories that successfully combined narrative with data analysis and visualization to involve the reader. Normally, a book written in that fashion is less than satisfactory, as the multiple voices and styles ruin the continuity of the content. Kudos to the editors for not letting that happen here. It's very readable, and that lets the content and value come through.

I hadn't heard of data driven journalism prior to reading, and I had my view of journalism shifted significantly. The handbook explains how access to raw data (and the ability to find and format it) provides story ideas as well as becoming part of the story itself. With data visualization tools, data can be put online and allows readers to understand facts in ways that words can't always communicate. Additionally, the readers can use the tools to drill down and display data that's specific to them (data for their neighborhood, city, school, etc.) The journalist works closely with the data technologist to figure out how best to combine narrative and data to report stories at level of detail that wasn't possible even just ten years ago.

With the rise of digital media and news reporting, the job and the skill set of a journalist continues to change dramatically. The Data Journalism Handbook does an excellent job in covering one important aspect of that changing environment. I'd consider it required reading for anyone who considers themselves a journalist, as well as anyone who wants to see how their technology skills are being applied in the field of journalism.

Obtained From: Library
Payment: Free
1 of 1 people found the following review helpful
4.0 out of 5 stars Nice Examples and Case-Studies 16 Nov 2012
By Paras Doshi - Published on
Earlier, I had shared an insight from the Book with you, Here it is: "World has changed, from what's NEW to "what does it all Mean" - This means that Professionals who focus on reporting "what's new" would soon be "out of job". And they should start equip themselves with Analytics skills that helps them uncover insights from all the news around us and help us all make sense of information that's all around us.

To that end, The book "Data Journalism" is a great inspiration for Journalist and it seems it's meant to encourage journalist to start embracing the change. It inspires Journalists to think of stories and find data about it. So what's it for Data Geeks? It encourages Data Geeks to help journalists weave story around the data that they found. The book also outlines resources that Data Geeks could use.

Now, Two things I really Liked about the book:

1. Examples & case-studies, Lots of them! very inspiring!

2. I came to know about Tools that I didn't knew about before. I am going to use them!

You can read the book online (web version) for free here: [...]
1 of 2 people found the following review helpful
5.0 out of 5 stars The Data Journalism Handbook 14 Aug 2012
By J. W. Rine - Published on
The Data Journalism Handbook is a series of case studies and practices that have employed data to either create or complement existing news stories. Data journalism is a relatively new fork of the journalism field. This book is intended to be a useful resource for those with an interest in data journalism. Defining data journalism can be a bit difficult. One way of looking at it could be the combination of journalism's traditional role of finding and reporting news stories with the added feature of access to a vast array of digital information. Often this digital information consists of facts and or numbers in a raw format. Using existing or custom coded software is required to distill the digital information into a usable form. Working with the data can augment a traditional journalism story or possible give foundations to new stories that would not have been known had the data not been examined in depth. Data journalism can help the journalist tell an interesting story through the use of info-graphics, or it may result in the development of a news app.

It has long been said that knowledge is power. Data journalism is a tool that will help the public harness knowledge and hopefully will be empowering to us all. I found this book to be an enjoyable read. It has many links to various on-line examples and does a good job of explaining processes and techniques used by data journalists. I would recommend this book to anyone that has an interest in journalism. In an era when Twitter and Facebook opinion polls dominate local evening newscasts, it is refreshing to see that real journalism is still alive and there are individuals using modern tools to find and present the stories that can impact all of our lives. The book lists case studies of how data has been used both as a tool and as the story itself. Several modern news organizations share their process and team structures with overviews. The book has a good flow, I read it in chapter order and found the material to be both engaging and informative. It is a collaboration from numerous authors and, as such, provides various viewpoints from multiple continents and cultures.

Disclosure: I recieved a free e-book copy for review purposes.
0 of 1 people found the following review helpful
5.0 out of 5 stars Excellent book for real world examples of development teamwork 20 Feb 2013
By Jeff Turman - Published on
Verified Purchase
I haven't read this whole book yet. Still so much to learn to fully take in the breadth of what is going on in data journalism. But from the little I've had to read, this book contains a lot of rich wisdom for those willing to dig into the material. That being said, this is no manual for learning how to be a data scientist or a programmer. It does impart knowledge on how the technical, raw data should be gathered and used to tell a complete story. As well as when certain elements of data visualization and interactivity were used effectively or not.
0 of 2 people found the following review helpful
1.0 out of 5 stars Bad buy. 22 Jan 2014
By Glenn Davis - Published on
Verified Purchase
Not what I expected. I wanted to use it for my journalism students but discovered it was too complicated to figure out.
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