Data Visualization and Mining

     After reading chapters 6 and 7, visualization is a graphic that corresponds with the data being associated with it. It allows for people to interpret large amounts of data, without being lost in so many numbers or facts. In digital humanities projects, many home pages are extremely long with so much text. That makes it hard for the general public to sit and read it fully through and analyze it. Adding a visualization can make the article intriguing and desirable to keep reading. 

    Data mining and text analysis "is used for analysis of literary and aesthetic objects has promoted many immediate and strong responses, such as the claim that 'literature is not data"(Lamarche 2012). I always thought that literature and humanities could not be data as well. I realized after reading this chapter, that data mining is analysis that looks at patterns and extracts information in digital files. That mean it filters information not in a number form. 

    In the digital project, visualization is the biggest aspect that jumps out at the viewer. It makes many people dizzy because it is sensitive to movement. The visual, in my opinion, it too complex that it makes the data harder to comprehend. The data mining and text analysis for this project was to find a connection between famous artist in the past. 

Comments

  1. Jordan RobichaudSeptember 27, 2022 at 1:59 PM

    One of the biggest things that deters me from visiting certain webpages is the lack of organization and headers, so I like that you touched on big lists and long blocks of text being difficult to consume. I think that really speaks to the importance of data visualization.

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