Our charts style visualizes data in a simple yet vibrant way in order to make data tangible.
When we face data, the regular question should be what is the difference between different parts. Charts can contribute a clear view for better understanding the data.
One variable per item
Two variables per item
Variable width column chart
Circular area chart
Composition helps you find how the different parts compose the total. It also indicates the differences and relatives among them. For example: company market share and a few key points in the market.
Changing over time
Stacked 100% column chart
Stacked column chart
Stacked 100% area chart
Stacked area chart
Stacked 100% column chart with subcomponents
In addition to comparing two data entries plotted against one dimension, you can also distribute the data by adding one more dimension as series. This adds another level of analysis and you can find deeper insights. For example, visualise profit & loss over time and per region. Here are few examples:
Data visualization also should help user find the relationship, correlation, and potential connections. Our components can demonstrate those concepts.