When preparing to share data, asking three questions will help you pick the right approach: Who is the audience? What is the "wow factor"? Why is sharing the data exciting? Amy Balliett reviews these questions and why they're important for you to ask before moving forward.
- [Instructor] When thinking about the context…of your design…and how that impacts your data visualization,…you might be wondering…how to get that context in the first place.…Well, here are some questions to ask yourself…that will help you properly visualize your data.…Question one, who is your target audience?…This will help you understand what drives this audience.…What numbers will mean more to them than others?…What will help them make a decision to act?…What visual cues will speak to them the most?…Here's an example of one of my favorite bar charts…that we completed.…
While I don't suggest making bars into visuals all the time,…this is a situation where it worked very well.…That's because beakers aren't too different than bars,…so we're still working with a uniform set of objects.…The reason I like this visualization…is because it takes the audience into consideration.…It uses a visual…that speaks directly to the target audience,…which is educators…with a specific focus on science teachers.…It also displays the numbers important to that audience…
To succeed in design and marketing today, one must know how to interpret and properly visualize data. This course, developed and led by Killer Infographics CEO, Amy Balliett, walks you through the ins and outs of creating accurate and compelling data visualizations. Amy focuses on best practices, not tools, although she does provide an overview of Illustrator graphing features. Using these tips, you'll learn how to stand out from the crowd and create charts and graphs that combine precision with visual appeal.
- What charts and graphs work best for different types of data
- Putting data into visual and textual context to ensure it is accurate
- Visualizing data that doesn't lend itself to imagery
- Adding visual appeal without sacrificing accuracy
- Using the Adobe Illustrator graphing tools
- Avoiding common data viz mistakes