Most of us have undoubtedly seen data visualization in practice many times. We’ve probably never realized it was called ‘data visualization,’ but whether in textbooks, at work, or even while browsing a promotional brochure for a product or service, these results of these tools are everywhere.
Consider a few data visualization techniques:
Essentially, data visualization is the manner by which data is visualized. Sounds simple enough, right? However, the process by which we take numerical and other scientific data and make it easier to understand for the average individual is more complicated.
Having the right tools to do the job is critical. Data visualization software is one of the tools a trained and skilled data analyst will use in presenting data in an easier, visual way to understand.
Each individual will have their own preferences and needs when it comes to data visualization software, but some are rated better than others based on common expectations, needs, and factors, including (but not limited to):
This is basically the way a program looks and can be used once it’s opened. A customizable dashboard is critical for experienced data analysts because they will have certain functions that become more important to them than they might be for others.
Interactivity is a vital component of data analytics and visualization.
As artificial intelligence continues to expand, being able to integrate this with the visualization tools becomes fundamentally important to presenting data in various forms and formats.
The larger the organization, the more important collaboration becomes. Using data visualization software that allows for real-time collaboration (ie. two or more people working on a file at the same time) streamlines the process.
Now, what are the best tools for data visualization? This brief list is based on a variety of reviews and comments by users, but is by no means all-inclusive.
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