This project asks you to engage with data, present data for a specific audience (your classmates), and practice making effective data visualizations. The project focuses on
- the fair, accurate, and ethical use of data
- the conventions of writing with numbers and data
- how to integrate figures into a document
- how to design effective visualizations.
As you will learn in completing this project, numbers don’t speak for themselves, and writing with data requires critical and rhetorical thought, as well as visual design skills.
In working on this project, you will engage with different types of visuals, as well as the conventions of writing with data and numbers. To achieve these goals, you will select one of the data sets listed below. After reviewing the data set you select, you will do the following:
- Decide on a point you want to make using the data in your data set.
- Then, since you can’t visualize all the data in your data set, you will make decisions about which data to visualize.
- Using the data you have selected, you will create three data visualizations help you make your point.
- Then you will write about and analyze that data in a brief visual report.
The final visual report you create will include the three visuals you have made, and the supporting text necessary to explain the data you have visualized and make your point.
In addition to the visual report, you also will create a second deliverable. You will compose a reflective analysis that explains your choices and goals, and how the visual report deliverable achieves them.
Use your the textbook chapter on Visual Design (Ch. 6) to help you design and write about your visuals. Additionally, you may wish to use this Periodic Table of Visualization Methods (Links to an external site.) to explore various types and uses of visuals.
WHY USE VISUALS?
Data visualizations bring a number of benefits to any professional document, even short ones:
- Though they have become extremely easy to make, people in the workplace still tend to be impressed by the extra effort and thoughtful presentation implicit in making a visualization.
- Data visualizations also help to make the work of digesting and interpreting data more efficient by displaying trends or illustrating the significance of specific information without poring over page after page of numbers.
- Because of this efficiency, visual elements are also better at communicating certain ideas more quickly than words or tabular data. Something that may take many sentences to communicate, a sudden drop in the efficiency of a process, or a surge in sales among a certain demographic, are instantly recognizable as spikes or dips along the X axis of a line graph.
This short report from the Department of Education (Links to an external site.) provides an overview of literacy and numeracy for men and women. In this online short report, the authors created two bar charts that are designed to show relationships between data and then they briefly explain the importance of the data.
However, as previously mentioned, numbers don’t speak for themselves. Integrating visuals comes with all the benefits listed above, but using visuals also comes with responsibility to use visuals fairly and justly. Visuals reduce people to numbers, to data, and then, by making a visual using some data but not other data, you make some people more significant than others. Your visuals represent a choice to emphasize some facts, and, in so doing, deemphasize others. Your visuals must be complete and accurate, but also fair and just. When you create your visuals, you should start with questions such as, “Am I representing the data accurately?” and also, “Am I representing the data fully and in a way that does no harm to certain groups?”
In your visual report, you will create three visualizations and integrate them into your report, providing an introduction to the topic and analysis of the data you include to make a point about the topic using your data.
For this project, you will select a data set from the ones listed below and create a short informational report that includes at least three data visualizations that you create. In your visuals, you will communicate the data you select from your data set in a form that maximizes the impact of the data. Your report should be designed for an audience of your classmates and an informative purpose.
To create your visualizations and informational report, select one of the following data sets:
Pew Science Trends
once you have selected a data set, spend some time with the data. Identify the trends that jump out at you as most significant. Your audience is your classmates, so think about what you want them to know and how best to visualize the data for them. You will not be able to visualize or discuss all the data in your data set. Your job is to select and visualize the data that is most relevant to your audience and the point you are making.
Document 1: Visual, Informational Report
A one to two-page, informative, visually interesting report that makes a point about your subject using the data in your data set. This report should incorporate at least three visuals that you have created along with a discussion/analysis of the data in your figures. The text in your report should
- introduce the topic and its importance
- explain the meaning of the visuals
- point to the conclusions suggested by the data.
Your audience is your classmates. Your understanding of the audience informs how the data is presented, the form the visualizations take, and the point you use the data to make, as well as the overall informative purpose of the document.
Document 2: Reflective Analysis — (NOTE: For FINAL version only — This document is not required for the DRAFT stage.)
A short 250- to 500-word note that explains the following (use headings to identify each of the topics listed below):
- How and why you selected your data set
- How you selected which data to visualize and why you visualized it in the form you did
- What decisions you made to tailor your report to your audience and your purpose
- How you ensured that your visualizations of the data were fair, accurate, and clear