Data Visualization Post

After watching The  Art of Data Visualization video and reading Tufte's chapter on Escaping Flatland, I learned that data can impact audiences when presented in differently ways such as commercials, maps, informations reports, and other mediums.  In the PBS video the narrator talks about how Apple strictly focuses on the audience and how they perceive what is presented to them.  Presenting data in new ways directly impacts how receptive viewers interpret the information that companies want their people to see.  Not only does specific data need to be accounted for in the presentation, but also the overall style and arraignment should reflect the messages trying to be conveyed.  Audiences subconsciously will be more attracted to something that they have never seen before.  The overall intent for designs is to engage a specific audience and let their curiosity create a new impression for whatever is presented.  The chapter Escaping Flatlands discusses how dimensional data visualization is oftentimes presented on either paper or the television.  According to Tuft the limited dimensions to present data can be expanded through creative license.  Tufte explains, "Escaping this flatland id the essential task of envisioning information- for all interesting worlds that we seek to understand are inevitably and happily multivariate in nature."  The example of topography is amongst one of the many fields continually creating new designs to present the same data.   Personally, as a college student I am exposed to many fiends or research and must utilize research and data to more clearly understand the importance of different viewpoints.  It is evident that some of my courses do not interpret data in the same ways.  Such as in sociology I will read journal articles that are structured in a way where the data is played out clearly in word form with statistical charts, opposed to my Rhetoric class where we will unpack deeper meanings behind posters and advertisements that use more images than words.  In conclusion, the way data is presents directly correlates to how people will receive data and make a personal assumptions based off of it.

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