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INTRODUCTION
The aim of information visualization is to "make data talk": to extract intelligence useful for decision-making, to detect trends, to verify hypotheses, or quite simply to make data clearer and more readable, thanks to a genuine data scenography.
Information visualization has been democratized in recent years, but it's important to distinguish between simple, intuitive computer graphics solutions, and often complex data visualization software. It's also important to choose the representation models that are best suited to your needs.
This fact sheet will help you find your way through the multitude of tools available, and make the right choices to suit your needs and budget.
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Visualization tools (cartography, mapping, etc.)