Home > Media & Business > Defining Data Visualisation, Data Journalism & Data Entertainment

Defining Data Visualisation, Data Journalism & Data Entertainment

This post and all other business-focused posts are now being held on the Seven League blog.

 

After my blog post from last week, Data? Entertainment? You need Datatainment, and a comment about datatainment seeming very close to data visualisation, I thought I’d try to define my thinking on how these terms differ.

  • Data + Visualisation is the process of making the data visible – the representation, such as Nike + or the use of epic, relies upon the data itself being informative or entertaining, but the process of visualisation does not apply an editorial filter. Of course, any design belies the application of some kind of filter – but with visualisation there is an attempt to represent the ‘real’ events or facts.
  • Data + Journalism is using that visibility to investigate an issue or point – it may not necessarily visualise the data for the user, but will use the techniques of visualisation in the journalistic process.
  • Data + Entertainment is where you use data as the primary source of entertainment. You might choose to make the visualisation of raw data entertaining or perhaps use data visualisation as part of the process of entertainment – but there’s definitely a strong editorial control which is focussed on entertaining the audience rather than exposing data.

Let me try to give examples:

Data Vis: Showing the number of check-ins on location based services foursquare and facebook check-in by MCFC fans over the course of the season.

Data Journalism: Using the visualisation to explore the patterns of LBS behaviour on match-days and therefore the stress on local transport infrastructure.

Datatainment: During the pre-match show at City Square, profiling the fan who’d checked-in at the Etihad Stadium the most over the course of the season. Or, bearing in mind that we have a huge number of people who visit us online during a game, perhaps we might also represent the global locations of our fans – maybe using foursquare’s ‘swarm’ approach to identify key hubs of City fandom outside Manchester so that we can bring those fans closer to the match day experience.

There are better ideas of what to do with Datatainment for City, but I won’t write about them here as I’d rather talk to the fans and see if we can deliver them in the real world.

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