Charts and graphs may have multiple "correct" applications for each data set, but Amy Balliett explains why context—such as the project's goals—can shape the decision between a few seemingly correct paths. It's critical to establish goals and messaging at the start of any project to be sure that data visualization choices can be measured against those goals.
- [Instructor] We talked about how the same data…could be depicted in at least two different ways…based on the information provided.…But which way is the best?…Well, this depends on the context of your overall design.…In the case of these two charts,…one is better if you want the end viewer to understand…what month is your best sales month overall.…The other however is best if you want the end viewer…to understand the seasonality of your sales cycle.…
To determine which is better to use,…consider the goal of your project as a whole.…Will the audience be better served knowing your seasonality?…Or knowing what month is your best?…The fact is that they can discern both…from these two different charts,…but each chart leads with a different message…and puts the other as a secondary piece of information.…I've also talked about when to use Quantagrams.…Sometimes people use quantagrams to keep the viewer engaged.…
This is another important piece of context…to consider when visualizing data.…If your design uses the same type of chart…
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