Data visualisation.

Data visualisation is the process of presenting complex data relationships and data-driven insights in a way that is easy to understand.

Catering to the audience who has a vast set of information to deal with on a daily basis, it is important for you to put the data in such a manner that it attracts attention. It should still provide that necessary information which is well researched and is not misleading.

One national news network actually issued an on-air apology for an infographic they had botched. The graphic they apologised for was part of a story about the relationship between stock market performance and protests in society. It was at best insensitive and at worst minimised tragedies receiving international attention.

What the network realised is that they had a responsibility to their news audience to deliver information in a way that was respectful. All the lessons to come extend from this idea: The people who are looking at your graph want to trust you are sharing information with them that is worthy of their increasingly-scarce attention.

Sometimes the people who are creating infographics, make assumptions about the people who will ultimately consume those infographics, for example about their current level of knowledge.?

Other times, people create infographics with little knowledge themselves of data or statistics.?

In every case, whether they realise it or not, they are using infographics to communicate with an audience. Keeping this audience in mind is key to communicating whatever information is at hand in a way that improves that audience’s complete understanding of the topic.

Exploring the latest trending topic, let's look into the distinction between data display and data visualisation that draws consumers into the news.

In the image on the left, you'll see the raw data displayed, while on the right, it's visualised for easier understanding.

Hence In today's world, data visualizers have become essential professionals due to the increasing demand for presenting complex data in visually appealing formats, considering the sensitivity and the knowledge that needs to be present which is evolving rapidly.