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 find a published study and create an editable visualization of 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 quantitative data 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$).$ 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 your 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.