Are you tired of the same old boring bar charts? Add some flair to your data visualization with a jittered bar chart! See more of your data without losing scope of the overall. 

To create one, simply add a random amount of noise to the x-axis and y-axis of your bar chart. This will add more granularity to your data, prevent overlapping and give your chart a unique look. Try it out and impress your colleagues with your data viz skills! 

Here’s a video to help you create your own.

There are tons of ways to create a single level drill down, but if you’re having issues creating a second drill down, this video is a guaranteed way to help you fix this problem.

Additional video - Single Level Drill Down 

Resources

A Merimekko Chart, also known as a variable width bar chart, is useful for comparing both high-level data and low-level data in the same chart. However, since we have size variables for both the width of the bars AND the height of the bars, comparing different segments of the chart is more challenging than it needs to be. Read more about the problems with Merimekko charts here.

In this example, I show you how to make an alternative to a traditional Merimekko Chart. I show you how to compare both category sales and regions sales within each category at the same time.

This can be easily replicated by simply swapping out the dimensions and updating one LOD calculation. Alternatively, you could use two parameters to allow the user to pick both the high-level and low-level dimensions and a third parameter for the measure to compare.

In this example, I show you how to create an interactive scatterplot that allows the user to select a mark in a scatterplot to drill down to the underlying data. This tutorial shows you how to drill down from Sub-Category to Product. This process will work for any two dimensions.

Did you know you can create a bar chart without using the rows or columns shelf? Check out this super simple tip to see how it's done.

Context is important in data visualization. For every chart you create, consider asking yourself "compared to what?" 

In this tip, I show you how to add context to a simple bar chart by showing whether a value is above or below the average.