Amy Balliett reveals the solutions to the challenge of finding mistakes among several data visualizations. She explains what to look for, and the reasons that some of the choices made in each chart and graph are considered incorrect.
- [Instructor] Now that you've had some time to review the PDF of data visualizations, let's unveil and discuss the mistakes that you likely found. Let's start with the bar chart in the top left. While this seems accurate because the bars are organized from smallest to largest, if you take a closer look, you'll see that the x-axis is in months and it jumps from month one to three back to two then months four and five. But this actually isn't accurate.
When the primary axis is time based, it means that the data is being displayed over time, so it should appear in chronological order, like the correct version of this chart that you see on the right. Now, let's look at the series of pie charts. These could be improved in two ways. One, they could be organized from largest to smallest or smallest to largest, like you see on the right. And two they're not all the same size. So that should be fixed as well.
And this line graph? Well the y-axis is flipped, making it harder to interpret the information. As you can see on the right, all I had to do was quickly flip that axis and of course, flip the line accordingly. Now this bar graph might have fooled you. At first it looks like the x-axis is forcing the order because it's alphabetical. But does that alphabetical order make it any easier to quickly interpret the data? Many would argue it doesn't, which is why it makes sense to reorganize the bars so that they numbers shine, as you see on the right.
Now let's look at this line graph, bar graph combo. On closer look, these graphs are relying on two different scales. Clearly this is too complicated to quickly interpret, so what's the point. There are better ways to add visual appeal then combining charts or graphs, which I'll speak to in more depth later on in this course when I discuss adding visual appeal with Adobe Illustrator. Finally, you might be wondering, what's wrong with this pie chart? Everything seems right.
The darker color acts as the fill, and the labels are clear. So what's wrong? I'll explain in my next video, when and how to use a pie 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