Reading #4

In chapter two, Interpreting Visualization Visualizing Interpretation, Drucker describes various graphical formats, such as maps, tables and charts, to dive deeper into the study of visualizations. In the beginning of the chapter, Drucker makes an important distinction between visualizations that are representations and those that are knowledge generators. While representations…

Graphesis

In the first chapter of Graphesis, Drucker discusses the idea of extracting information from a physical form, such as a person’s face, and analyzing it through graphic representation. This practice, referred to as physiognomy, essentially reads and predicts human personality traits based off of a person's facial features. Giambattista…

The Subtleties of Color

In his blog series, The Subtleties of Color, Robert Simon asserts that the main purpose of data visualization is to make connections and highlight relationships that may be difficult to identify using large amounts of numbers. Throughout the series, Simon analyzes various types of data as well as their preferred…

Responses to Profiles in Badness

Look at Data: What Makes Bad Figures Bad - Kieran Healy, Carl Bergstrom and Jevin West In the essay, Look at Data: What Makes Figures Bad, the authors analyze the various types of “bad” data visualizations in order to both understand there downfalls and remedy them in the future. The…

Scatter Plot

What is it? A scatter plot is a two dimensional chart that uses points or “dots” to represent specific values.Scatter plots most commonly have two different values that are represented using the X and Y axis. This specific type of chart is best used to show the relationship between…