1 Media Commentary Portfolio Due: Week 6 Assignment 1: Visualization Design ENGG255 Assignment In this Assignment, you will utilise your knowledge in data visualisation to visualise a data set. You must provide a rigorous rationale for your design choices. You are free to use any graphics or charting tool in Excel or Matlab. The data set is provided in below table. Your task is to design the best static visualisation that you believe effectively communicate the data and provide understandable information for readers. You need to discuss your design as a short write-up (not more than 500 worlds). Please remember: 1) You must only use the dataset given 2) Include title, axis labels or legends if necessary. 3) You can design as many graph as you think is necessary but avoid the information overlapping. 4) Different visualisations, tells different stories, in your write-up you should clearly mention what story you are trying to deliver also note which aspects of the data might be obscured or down-played due to your visualisation design. 5) In your design, you should include (and clearly mention in your write-up) your choices for visualisation type, size, color, scale, and other visualisation elements. How do these decisions facilitate effective communication? Submission details This is an individual assignment. Your completed assignment is due on Thursday 23/03/2017. Please avoid a late submission. Submit a pdf file describing the visualisation and your design rationale and a copy of your visualisation in a standard image file format (JPG/PNG) via iLearn. Data set Below data is the experimental results of and study performed after World War II to learn which drug worked most effectively for which bacterial infection. Below table shows the performance of the three most popular antibiotics on different bacteria. In below table: The value of the table represent the minimum inhibitory concentration (MIC), which is the lowest concentration of an antimicrobial drug that will inhibit the visible growth of a microorganism after overnight incubation. “gram staining” is a common technique used to differentiate the reaction of the bacteria to germ staining. The reaction of the bacteria to Gram staining is described by the covariate “gram staining”. The Gram stain procedure distinguishes between Gram positive and Gram negative groups by coloring these cells red or violetAssignment 1: Visualization Design ENGG255 Number Bacteria Penicilin Streptomycin Neomycin Gram Staining 1 Acetobacter aurantius 830 2 1.92 positive 2 Bacillus anthracis 23 4 0.024 negative 3 Bordetella bronchiseptica 0.007 0.02 0.0084 positive 4 Bordetella pertussis 0.005 22 12 positive 5 Campylobacter coli 126 0.8 0.12 negative 6 Campylobacter fetus 860 2.4 1.2 negative 7 Campylobacter jejuni 801 10 2.4 positive 8 Mycobacterium avium 3 0.2 0.12 negative 9 Mycobacterium bovis 850 4 0.48 negative 10 Mycobacterium diphtheriae 13 0.8 0.0096 negative 11 Mycobacterium intracellulare 177 1.6 0.108 negative 12 Streptococcus agalactiae 0.07 0.2 0.0012 positive 13 Streptococcus avium 0.03 0.06 0.0012 negative 14 Streptococcus bovis 1 2 0.12 negative 15 Vibrio cholerae 0.01 28 12 positive 16 Vibrio comma 0.009 20 48 positive 17 Vibrio parahaemolyticus 990 0 4 negative