Data Visualization and Visual Analytics

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You can filter the data to see only the information you’re interested in, compare different time periods, or drill down into the causes of a particular trend. Imagine you want to understand why sales of a product have declined over the past few months. With a simple filter, you can isolate that product and view data related to sales, price, and marketing campaigns to identify the cause of the decline.
So, Visual Analytics allows you to:

Get a complete view of your business by uniting all your data in one place.
Quickly understand what's happening with clear, intuitive visualizations.
Make better decisions based on data, not hunches.
Identify new opportunities by uncovering hidden trends and patterns in your data.
Data Visualization vs. Visual Analytics: What’s the Difference?
The terms “Data Visualization” and “Visual Analytics” are often used synonymously, but in reality they refer to slightly different concepts.

Data Visualization is like a photograph of your data: it creates a visual representation that allows you to quickly understand the information contained within.

Visual Analytics , on the other hand, is more like a egypt whatsapp number database deep dive: it lets you explore data interactively, uncovering hidden relationships and making informed decisions.

An example

Imagine you have a dataset of your 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:



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