Profiles in Badness

The text discussed for this occasion approach the effectiveness of communicating quantitative information and the recommended process to create visual representations of data. Across the multiple readings, the main idea that I get from the texts is that, as a designer, apart from the aesthetic side of the process, you have to always take into account who is your audience and what is the main purpose of your work (the main idea that you want to communicate with your graphs).

The readings provide us with a comprehensive amount of examples that help us distinguish between good and bad visualizations. In order to avoid bad practices, we need to keep in mind the visual habits we have and how they might affect our visual relationship with the representation of patterns and quantitative information.

Another important element that we need to always consider is the crucial role that labeling and proportion play in our visual perception. Some rules that are important to remember are to always start with zero when it comes to bar graphs, while this is not necessarily the case for line graphs.

Nevertheless, the main idea is to evaluate the data on a particular case. Therefore, we can say that it is possible to bend the rules if the data we are working with, allows us to do so.

Im conclusion, in order to need to achieve a successful design, we need to be clear, concise and efficient so our readers can receive our message quickly. We must also never forget that we have a responsibility to never mislead the public.