Your project should include some type of data visualization, if not multiple visualizations. As we’ve learned, data viz can be exploratory or explanatory. Exploratory data visualizations can be used to help you learn more about your dataset. Where are the outliers? What has appeared that you didn’t expect? Perhaps you realized you had some data that needed to be cleaned up or modified. Exploratory data visualizations don’t have to be perfect, but can be used as a tool to help you refine your analysis. In contrast, explanatory visualizations are closer to a final product and can be used as evidence in your argument. They point to a particular trend in the data or demonstrate a specific point.
Your projects should include at least one visualization from both categories. They can be dynamic (ex: a map where the users can click on pins or filter data) or static (a still image produced by a data visualization tool).
Specs:
- Due July 27th at 11:59 EST
- Post to WordPress.
- 1+ exploratory and 1+ explanatory visualization.
- Visualizations should include (when applicable):
- clear, legible labels.
- color choices that take into account the prevalence of color blindness.
- appropriate chart type.
- balanced scale and axises.
- meaningful legend and explanatory title and text.
