Amy Balliett reveals how she would visualize each of the data sets presented in the challenge. She explains the reasoning behind each decision, as well as noting that more tips and tricks for making visually appealing charts and graphs are still to come.
- [Instructor] Now that you have taken some time…to try visualizing the data yourself,…let's walk through how I chose to showcase the information.…For the first set of data,…I chose to use a bar graph,…and I also chose to organize the information…from smallest to largest.…I did this because we're talking about sales by drink type.…And in my opinion, I think it's important to find out…which drink sells the best.…By organizing from smallest to largest,…I can quickly see that regular drip…is the most popular drink.…
If I organized from largest to smallest,…I can see this as well.…But at the same time,…if I organized from largest to smallest,…I'd still be able to quickly see…that regular drip is the top seller.…But it could also drive concern…that macchiatos are selling so poorly,…which is why again I chose to go from smallest to largest.…For the next set of data, I chose to use a bar graph again.…I could've used a line graph in this instance,…but there were only four data points,…so I felt like the information…could still be very easy to understand in a bar graph.…
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