So in my last blog, I briefly explored the proliferation of data, and examined how humans interact and process all this information. Going on to explore how data visualization has emerged as people seek to find ways to interpret complex information and translate it into a format that is easily understood.
This week I dove into the topic of data visualization more methodically, in the aim to answer this question: “What is data visualization, and why does it matter?” In this I examined the historical and academic origins of the practice; examine its use in society and lastly explored and analyzed key examples of data visualization.
While some might think that data visualization is a new concept, and only emerged with the introduction of Web 2.0, computers and developments in statistics. In actuality, graphic representation of quantitative information has deep roots. According to historian Michael Friendly (2006 & 2008)…
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