Analyst in Action

If we talk about the level of detail then data labels can make your visuals stand out and add more context to them. There is a flip side too with them. The most common issue is when you put the data labels it creates a bit of a mess in your visuals and it becomes an intricate task if you consider the readability for the end users. That's not the objective of visualization. Let's consider a use case where we are creating a basic line graph with the evolution of discount percentages over a period. We are considering Sample Superstore data. Also, we have enabled the data labels for the whole series. You can play around with the formatting of your data labels. We can adjust the position, colors, and much more. If you focus on the title of the visual it's dynamic in nature and depends on the selection in the slicer. To know more about dynamic titles you can follow the link . From a visual point of view, the abovementioned visual is not so intuitive in nature.  To make it more in