Data Visualization - Google Analytics
Step 4 - Pretty helps
Yes, I know this is not just about design and making graphics more attractive, data visualization is much more than that.
But design is important.
Reduce noise, simplify, use matching colors, rely on iconography and you will see how the same ugly graphic becomes visually attractive and the information arrives much faster and better.
Here is a before and after of Infogram, one of the tools that I will mention in this article and that will help you create memorable data visualizations.
Data Visualization - Infogram
Some good examples
The definition of data visualization would not be complete without lebanon mobile database providing some good examples of how this discipline is applied both in the corporate environment and in communication with end users.
I am going to focus on two very different examples.
The first focuses on presenting information in a way that is easy to consume and getting the message to the recipient intact.
Chances are you've seen this data visualization on Pinterest, a great place to discover great examples of how data is handled intelligently.
Why does it work?
For many reasons, but let's focus on the ones you can apply to your own data:
Take care of the subject . We are talking about land, what better way to reflect it in the visual aspect of the image?
Don’t reinvent the wheel . As you can see, this is a pie chart. If you have a powerful tool that your audience knows well, don’t create a new system, use one they are already familiar with.