Claudia Colombo | Black Mirrors
Claudia Colombo Portfolio — Graphic/Visual/Communication designer, passionate about research and editorial design.
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Black Mirrors

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Data Visualisation
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Individual Project
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BA Project
ISIA Urbino
Feb 14-Jul 14
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Tracking of data
Paper concept + data’s display
Refine communication aesthetics


→    Brief Description

This Data Vis (topic = quantified self) wants to describe, through several structures based on the same data, my time spent between laptop and mobile devices. I tracked my activities through Rescue Time desktop and mobile, in order to understand my real addiction to the so-called “black mirror(s)” (mobile and laptop devices) every minute, hour, day, week, for a month (31d). This information is put in its context (student life, weekends, etc.).


→    Achievements

1 › Tracking the data, filter and manage complex data sheets in order to create an useful .csv for Nodebox.

2 › Project a coherent and legible data visualisation in order to give the balanced quantity of information in different ways.

3 › Create the correct structure with Nodebox, add further levels, and refine the communication with illustrator.




— If technology is a drug – and it does feel like a drug – then what, precisely, are the side-effects? This area – between delight and discomfort – is where Black Mirror, my new drama series, is set. The ‘black mirror’ of the title is the one you’ll find on every wall, on every desk, in the palm of every hand: the cold, shiny screen of a TV, a monitor, a smartphone.

Charlie Brooker to The Guardian


legenda

full

nodebox


→  The table variation of the same data

This level is constructed by using the same data but in a different configuration. In this case is possible to see which are the great hours of work and the great days. It’s a different way to look at these data that allows further kinds of comparison. At multiple displays of the same data match the possibility of see further informations. This is one of the principles of the human capability of create the connections that allow the comprehension and retention.



Table


→  Patterns of behaviours

In the following data visualisations it’s possible to see both the quantity of activity per hour per device and the presence of the activity every hour.


introduction-patterns

laptop


number-of-logs


mobile


time-logged

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