The Line Chart is a fantastic, classic way to visualise your data, however, it can be clunky and bogged down with too many data sources. That’s why we thought it needed some improvement — to make it easier to read at a glance.
Introducing Vizlib Ridgeline Plot, the simplest way to see trends and distribution over time.
What is Vizlib Ridgeline Plot?
Using multiple data points in a standard Line chart can lead to messy, cluttered visuals. With Vizlib Ridgeline Plot, overlapping mountain or ridge shapes make visual comparison quick and easy as they are placed on separate lines in the visualisation.
Uncover insights about seasonality and changes over time, plus save valuable dashboard space. With this structure, it’s easy to get an overview of your data at a glance.
Vizlib Ridgeline Plot in use
Let’s say you run a film 🎥 production house and you want to see movies distributed by genre over user rating. Putting 12 different genres into a single line chart is going to be a jumble of colours. With Vizlib Ridgeline Plot, however, all of the genres can be placed onto their own lines in the chart, leading to a much cleaner and easier design.
Notice how quickly your eyes pick up the data now?
How about a more topical example? Using search engine data 🔍, you can generate a Ridgeline Plot that displays different search trends – like “zoom”, “face mask”, and “remote work” – from the beginning of 2020 to April of 2021. This chart really eeks out a simple-to-see system.
Resources to learn more
For more information on Vizlib Ridgeline Plot:
- Take a look at our Ridgeline Plot technical documentation
- Or book a free demo if you want to see this new chart in action!
