Now that you’ve created a chart, it’s time to customize!
Charts are the perfect canvas to visualize key data and analyze results. Let’s dive in.
First, decide which information matters most to you. Do you want to visualize sales by zip codes, or maybe check the compliance of different regions? Identify your key metrics before moving forward.
Once you’ve pinpointed exactly what you want to see, it’s time to add information to your chart.
Think of the x-axis as your chart’s horizontal guide. It works best for quantitative data like names and zip codes.
For instance, you could list your distribution centers here to see how many stores each one supplies.
The y-axis, on the other hand, is the vertical line that deals with numbers. It’s perfect for showcasing sums or counts of data. For example, you might want to display the sum of stores supplied by each distribution center.
Click and drag the dataset column you want to see down to the x-axis of your chart.
Segments are not required on your chart. However, they can be incredibly useful when you want to drill down and reveal more insights.
For instance, if you segment your chart by sales, you can quickly figure out how high and low-performing stores tie back to each distribution center. It’s a neat trick to understand the connection between performance and sales.
Now that your chart is loaded with the right data, let’s add your personal touch:
That’s it! Now, your chart is custom-tailored to fit your needs. No frills, just quick and easy customization to make your data work for you.