All tagged Data Visualizations
Arrow charts make change visible at a glance by pairing a starting point with an endpoint connected by a directional arrow. They're ideal for showing before-and-after comparisons, tracking shifts over time, and communicating both magnitude and direction in a single mark, making them a powerful choice whenever movement is the story you need to tell.
Maybe the best part about them is that they're eye-catching and fun to look at! 🎨
Telling multiple data stories at once is difficult, but not with dual axis charts!
Take your visual storytelling to the next level and tap into visual tricks that most Tableau users don’t with this week’s deep dive on dual axis charts.
If you want to learn how to build arrow charts, add labels to both ends of a bar chart and create fully customized bar-in-bar charts, this is for you!
Stacked bar charts are a brilliant visual for displaying how individual segments contribute to the overall value of a category, and how a category ranks in relation to other categories. Like all data visualizations however, it has some weaknesses.
One of the biggest weaknesses of a stacked bar chart is that it's hard to compare bar segments when they don't have a shared baseline. Comparing the first bar segment is straightforward, but comparing the 3rd or 5th segment is cumbersome.
Sometimes, you have too many values in a dimension on the rows shelf in your Tableau worksheet and end up with a scroll bar. Annoying, right? Scroll bars mean your users are less likely to see the data at the bottom of your worksheet because it it out of sight and out of mind.
One idea I've heard discussed is, what if you could break the data into multiple columns? For example, instead of displaying 50 states as a single column of 50 rows, could you display it at 2 columns or 25 rows?
We're looking at Tree Maps this week! If you're trying to show breakdowns of the whole in Tableau, you need to have Tree Maps in your tool kit.
Tree Maps are amazing because:
They're particularly good at representing data with long tails.
They can represent data in a hierarchical structure (we can build Tree Maps within Tree Maps)!
They're space-efficient, and allow us to visualize many dimensions or measures in one view.
Tableau is a fantastic data visualization tool, but memorizing some of the initial data visualization rules is hard. It might only take a few clicks to create a scatter plot or a highlight table, but you need to know exactly *which* clicks to make in order to create those charts.
