A data team at a public university wants to communicate to stakeholders about which foreign language courses are most popular with students. They create a data visualization that identifies the 38 different courses, then shows the number of students enrolled in each one. What type of data visualization should they create?
Question
A data team at a public university wants to communicate to stakeholders about which foreign language courses are most popular with students. They create a data visualization that identifies the 38 different courses, then shows the number of students enrolled in each one. What type of data visualization should they create?
Solution
The data team at the public university could use a bar chart or column chart to visualize this data. Here's a step-by-step guide on how they could create this:
Step 1: Gather the Data The first step is to gather the data on the number of students enrolled in each of the 38 different foreign language courses. This data should be accurate and up-to-date.
Step 2: Choose the Right Chart Type In this case, a bar chart or column chart would be the most appropriate. These types of charts are great for comparing different categories of data - in this case, the different foreign language courses.
Step 3: Create the Chart On the x-axis (horizontal), they would list the 38 different foreign language courses. On the y-axis (vertical), they would list the number of students. Each bar or column would represent a different course, and the height of the bar or column would represent the number of students enrolled in that course.
Step 4: Label the Chart It's important to clearly label the chart so that it's easy for stakeholders to understand. They should include a title, label the x and y axes, and include a legend if necessary.
Step 5: Analyze and Share the Chart Finally, the data team should analyze the chart to draw conclusions about which foreign language courses are most popular. They can then share this chart with stakeholders to communicate their findings.
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