Visual Analytics , on the other hand, is more like a deep dive: it lets you explore data interactively, uncovering hidden relationships and making informed decisions.
An example
Imagine you have a dataset of your whatsapp in philippines online e-commerce sales. A Data Visualization could be a simple bar chart showing total sales for each month of the year. This gives you a general idea of sales over time.
Visual Analytics would allow you to take a step forward, because with custom dashboards you have the tools you need to:
visual analytics what does it do
Key Tools of Visual Analytics
Among the main Visual Analytics tools we find tools such as Looker Studio , Power BI and Tableau, which offer a wide range of functions for creating interactive dashboards. These tools allow you to choose between different types of visualizations, depending on your needs:
• Line graphs : ideal for representing the evolution of a variable over time.
• Scatter plots : Perfect for visualizing the relationship between two variables.
• Heat maps : used to highlight areas of greater or lesser intensity of a phenomenon.
I talked about it in more depth in this video, watch it now