As different visualizations can emphasize different aspects of a data set, you should document what aspects of the data you are attempting to communicate. In short, what story (or stories) are you trying to tell?

In this assignment, you will design a visualization for a small data set and provide a rationale for your design.

You are free to use any graphics or charting tool you please–including drafting it by hand. However, you may find it most instructive to create the chart using Excel or Google.

Data Set: Antibiotics
After the World War II, antibiotics were considered as “wonder drugs”, since they were easy remedy for what had been intractable ailments. To learn which drug worked most effectively for which bacterial infection, performance of the three most popular antibiotics on 16 bacteria were gathered.
The values in the table represent the minimum inhibitory concentration (MIC), a measure of the effectiveness of the antibiotic, which represents the concentration of antibiotic required to prevent growth in vitro. The reaction of the bacteria to Gram staining is described by the covariate “gram staining”. Bacteria that are stained dark blue or violet are Gram-positive. Otherwise, they are Gram-negative.

Download Data File Here!!! Download Download Data File Here!!!

Assignment
Your task is to design a static (i.e., single image) visualization that you believe effectively communicates the data and provide a short write-up (no more than a paragraph or two) describing your design. While you must use the data set given, note that you are free to transform the data as you see fit. Your chart image should be interpretable on its own without relying on your short write-up. Do not forget to include title, axis labels or legends as needed!

As different visualizations can emphasize different aspects of a data set, you should document what aspects of the data you are attempting to communicate. In short, what story (or stories) are you trying to tell?

In your write-up, you should provide a short rationale for your design decision(s) and why they are appropriate for the data. These decisions include the choice of visualization type, size, color, scale, and other visual elements, as well as the use of sorting or other data transformations. How do these decisions facilitate effective communication of the point you are trying to make?

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