Reference no: EM133226378
When done well, visualizations of data can optimize a reader's understanding of epidemiologic study results and bring an element of interest to a publication or presentation. This week you will take data from a published study and create an editable visualization of those data. Using a search engine like PubMed, Google Scholar or PsycInfo, identify a published epidemiologic study on a topic of your choosing. The study should present at least some results generated from quantitative data. These data should be presented in the publication's text and/or tables. The data can be descriptive or the results of statistical analyses (e.g., odds ratios with confidence intervals, coefficients, relative risks). The results should be results from the study - data analyzed by the authors - not information from other published studies presented in the background. Be sure to cite the study and provide a link or upload a file so your peers can easily access the publication.
Select results presented in the publication's text or tables that you think could be presented as a visualization. Take those results and create a visualization - you choose the type of visualization; examples include a pie chart, histogram, box plot, etc. You cannot create a table. You can use a software of your choice (e.g., Microsoft Excel or PowerPoint), but should be able to share an editable file with your peers.
As you create a visualization, pay close attention to the "Checklist for Constructing Printed Graphs" from this week's CDC reading as a good guideline for what you need to include. Your figure should be "stand alone" (meaning we can interpret the data from the figure alone, without additional text). It should include a title, any necessary footnotes, a legend, etc. Upload an image of your visualization as well as an editable file.
Note, you may not have access to every data point you need or understand the results of the study perfectly. You will not be graded on your understanding of the results; you will be graded on presenting the results as you understand them.