To understand, analyze, and present data related to water use and sustainability using both traditional and creative visualization techniques.
To understand, analyze, and present data related to water use and sustainability using both traditional and creative visualization techniques.
Background:
Data doesn’t have to be dull. While bar graphs and pie charts have their place, there’s a vast landscape of visualization techniques waiting to be explored. Drawing inspiration from projects like the Dear Data project, this assignment will challenge you to look at water data in a fresh, creative way. Please read through the entire assignment to understand what you need to include, the very last section lists the components of the assignment.
Instructions (Additional Info for Honors section at the end of this section):
Topic Selection (All Sections): Develop a question within a topic of your choice within the realm of water use and sustainability that you would like to explore through data. This can range from topics like daily water consumption in households to the effects of climate change on global water resources. Look at the previous week’s for ideas. While this feels really broad, that is the point. I want YOU to choose the topic that you’re actually interested in – if it’s related to water, then it counts!
Data Collection (All Sections):
Gather your own data or source it from reliable online platforms.
Ensure accuracy and relevance to your chosen topic.
Traditional Visualization (All Sections):
Start by representing your chosen data using traditional techniques like bar graphs, pie charts, or line graphs.
Ensure clarity and correct representation of the data.
Creative Visualization (All Sections):
- Review the Dear Data project.
Dive deep into creativity to develop your own creative visualization of the collected data. Explore unique ways of representing the same set of data that you used for your traditional visualization. This could be hand sketches, digital art, or even an interactive online representation. This MUST be something that you create. You will get a zero if you take someone else’s work and play it off as your own – this is plagiarism.
Remember, while aesthetics matter, clarity and effective communication of the data remain paramount.
- Write-Up (All Sections):
Data Source Paragraph (1 paragraph): If you are collecting your own data, describe how you collected the information and ensured accuracy. Further, justify your methods for collecting this data and how this data illustrates your purpose. If you are finding data from another source, justify how this data illustrates your purpose. Further, cite using APA format where you are getting this data and include a screenshot of how this information was originally displayed.
Data Message Paragraph (1 paragraph): In a minimum of four sentences, describe the primary message or insight that your visualizations (both traditional and creative) convey.
- Comparison Paragraph (1 paragraph): Reflect on the two visualization techniques. In a separate paragraph, discuss whether they communicate the same story or offer different perspectives. Delve into the advantages and potential limitations of each method in conveying the data’s message.
- Honors Section Only
- Extended Data Collection:
Honors students are required to gather data from a minimum of two different sources. This could include one source of primary data (gathered by the student) and one source of secondary data (gathered from an existing publication).
Compare and analyze discrepancies or variations between the two data sources and consider why these might exist.
- Reflection on Visualization Techniques (1 paragraph):
- Expand on the comparison section by discussing the effectiveness of each visualization technique in various contexts (one paragraph). For instance, which visualization would be most effective in a corporate setting? Which might resonate most with the general public, and why?
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