Big Data, Data Journalism and IBM's ManyEyes
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Data Journalism is becoming a hot subject for many newspapers who use Big Data and analytics tools to create a whole new type of data-intensive stories.
Now a group of journalists have published The Data Journalism Handbook an on-line book on their trade and the tools they use to create data-based stories.
They define Data Journalism like this:
Data journalism can help a journalist tell a complex story through engaging infographics. Hans Rosling’s spectacular talks on visualizing world poverty with Gapminder, for example, have attracted millions of views across the world. And David McCandless’s popular work in distilling big numbers — such as putting public spending into context, or the pollution generated and prevented by the Icelandic volcano — shows the importance of clear design at Information is Beautiful.
One of the newspapers who have taken a lead in this field is the British Guardian, who in it's toolset is using IBM's ManyEyes
IBM's MayEyes is web-based with a website where users can upload datasets, select a visualization type and then visualize the data..
This is a good example of the new world of Big Data and data analytics, driven from data-marts with large numbers of cloud-based and increasingly complex data sets, on which we can apply sophisticated visualization tools, like IBM's ManyEyes.