Post a bar graph, histogram, or scatterplot to your website.
First, create (or find online and clean) a dataset related to your project. NOTE: I know that, depending on your project, this might be difficult, and you might have to think creatively. You will not be penalized if you work with data that is only tangentially related to your research topic. And it does not need to be a big data set–if it is only three or four columns of data, that’s fine, but if you find something bigger that might be useful to your final paper, feel free to use that.
Second, decide what kind of visualization you will need to communicate the data effectively–a bar graph, a histogram, or a scatterplot–and what kinds of information your visualization will need to convey. How should the axes be labeled? What should the scale be? What colors will make the information stand out clearly? Create a visualization in Excel that is aesthetically pleasing and easy to read.
Third, save the visualization that you created as an image file and upload it to your media library on your website.
Fourth, create a page for your visualization and put the image there. Underneath the image, write a brief description of what it shows. This only needs to be a couple of sentences–just enough that visitors to your site know what they are looking at.
Finally, copy the link to the page with the visualization, and paste it onto the “slide link” field for the image in your media library, then add that image’s ID to your gallery shortcode on your gallery page, so that the visualization will be accessible there along with your other gallery entry assignments.
To earn credit on this assignment, your data visualization needs to be appropriate (the right kind of graph for the data being displayed), clear (the data is easy to understand based on the labels and description), accurate (the data must be verifiably correct and/or come from a reliable source), and accessible from your website’s gallery. It also must be an original creation–a graph taken from another source will be considered plagiarism.