Data Visualization and Mining

 Data visualization is taking different points of information and placing them into an organized chart or graph. What that format looks like depends on the designer's intention. Some graphs, for instance, utilize a continuous graph to show a change in variable over time. Other graphs might use pie chart to display data with percentages. How the data is presented makes a difference in the way it is interpreted. In some cases, certain graphs can exaggerate information, such as Florence Nightingale's hospital chart, that dramatized the radius of operations. In other cases, data visualization can be ineffective or uncomprehendable due to poor graph choices or point display. 

In Six Degrees of Francis Bacon, the map demonstrates a spiderweb of first and second degree connections. Meanwhile, Yesterday, Today, and Tomorrow, used similar format of Tweet concentrated bubbles. These provide great examples different ways to map data. They also show how data mining can be used. Data mining retrieves information stores them in digital file. Meanwhile, distance reading provides an overview of a text, while keeping the content as a summary, rather than the literal words.

Comments

  1. Dr. MSeptember 26, 2022 at 9:46 AM

    Visualization really just compounds (and moves forward) what we've learned of biased data.

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  2. Mackenzie MacEachernSeptember 26, 2022 at 11:10 PM

    I think your point on how visualizations can be ineffective or uncomprehendable. The sentence after the definition of visualizations stated how it is a great alternative to interpret rather than research data. The two messages kind of contradict themselves. In my opinion, the key word in chapter 6 was interpretation. How someone interprets the data is for their own analysis.

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