Data Visualization Exercise In this exercise, you will design a visualization for a small data set...

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Data Visualization Exercise In this exercise, you will design a visualization for a small data set and provide a rigorous rationale for your design choices. You are free to use any graphics or charting tool you please. Data Set: Antibiotics After the World War II, antibiotics were considered as "wonder drugs", since they were an 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. Bacteria Aerobacter aerogenes Brucella abortus Brucella anthracis Diplococcus pneumoniae Escherichia coli Klebsiella pneumoniae Mycobacterium tuberculosis Proteus vulgaris Pseudomonas aeruginosa Salmonella (Eberthella) typhosa Salmonella schottmuelleri Staphylococcus albus Staphylococcus aureus Streptococcus fecalis Streptococcus hemolyticus Streptococcus viridans Table 1-Burtin's Data Penicillin Streptomycin 870 1 1 2 0.01 0.001 0.005 100 850 800 3 850 1 10 Antibiotic 0.007 0.03 1 0.001 0.005 11 0.4 1.2 5 0.1 2 0.4 0.8 0.1 0.03 1 14 10 Neomycin Gram Staining 1.6 0.02 0.007 10 0.1 1 2 0.1 0.4 0.008 0.09 0.001 0.001 0.1 10 40 negative negative positive positive negative negative negative negative negative negative negative positive positive positive positive positive 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. Task Your task is to design a static (i.e., single chart image) visualization that you believe effectively communicates the data. 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 without recourse to a write-up. Do not forget to include title, axis labels or legends as needed! Data Visualization Exercise In this exercise, you will design a visualization for a small data set and provide a rigorous rationale for your design choices. You are free to use any graphics or charting tool you please. Data Set: Antibiotics After the World War II, antibiotics were considered as "wonder drugs", since they were an 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. Bacteria Aerobacter aerogenes Brucella abortus Brucella anthracis Diplococcus pneumoniae Escherichia coli Klebsiella pneumoniae Mycobacterium tuberculosis Proteus vulgaris Pseudomonas aeruginosa Salmonella (Eberthella) typhosa Salmonella schottmuelleri Staphylococcus albus Staphylococcus aureus Streptococcus fecalis Streptococcus hemolyticus Streptococcus viridans Table 1-Burtin's Data Penicillin Streptomycin 870 1 1 2 0.01 0.001 0.005 100 850 800 3 850 1 10 Antibiotic 0.007 0.03 1 0.001 0.005 11 0.4 1.2 5 0.1 2 0.4 0.8 0.1 0.03 1 14 10 Neomycin Gram Staining 1.6 0.02 0.007 10 0.1 1 2 0.1 0.4 0.008 0.09 0.001 0.001 0.1 10 40 negative negative positive positive negative negative negative negative negative negative negative positive positive positive positive positive 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. Task Your task is to design a static (i.e., single chart image) visualization that you believe effectively communicates the data. 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 without recourse to a write-up. Do not forget to include title, axis labels or legends as needed!