“Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.”
– Atul Butte
When you use visuals to convey data-based information, you help your audience to identify patterns and determine various relationships within the data.
There are different categories in data visualisation – temporal, multidimensional, hierarchical and network. Using these, you can find a story within data sets or create a story for your audience from statistics and figures.
With this post, you’ll discover 11 creative ways to present your raw data in digestible format.
This technique places rectangles or bars on a horizontal axis. The height of each bar denotes measurable values, while the width represents interval ranges.
Polar Area Diagram
In a pie chart, sectors denoting different variables are determined by their angle sizes. Polar area is slightly different. Here variables are indicated by outward extension of each sector from the circle’s centre.
To show logical relationships between values or ideas, use Venn diagrams. Each of the three circles symbolise an idea, while the intersection areas reveal crossovers or similar ideas.
With this diagram you can show various connections within a data set. Dots represent data or intersection points, while lines stand for connecting links.
Here your data is represented on a map. Shades and/or patterns reflecting certain variables like state wise density of SUV owners.
Dot Distribution Map
In this visual technique, a dot symbol represents a feature or variable on a map. Scattered dots are used to reveal distinct or interrelated patterns.
Lines symbolise values in an area chart. You can add one or more values on a particular line. Other data lines are made visible using shades and colours, and enable you to compare different values.
In this chart, you display a data variable on each axis like location and product. Different coloured bubbles denote the location variable, while their size denotes a third value like age group.
As the name suggests, this shows both data points in a sequence and uninterrupted measurements over a period of time. For example, new room bookings for different hotel branches in a quarter.
To show data hierarchy in graph form, use tree structures. You can show a chain of command structure in top-to-bottom or left-to-right format.
If you want to showcase five or more features and variables, use this chart. Plot these values on separate axis. Relative value of each feature is determined by its extension from a centre point to edge of the web.
Have you used any of these data visualisation methods?