Data is a powerful tool, but you cannot do much with it if you do not understand what it is telling you. Moreover, simply looking at a slew of stats and numbers may not clarify the information you need. Yet when data is in a logical and easy-to-understand format, you can apply what you learn from the details in a way that yields effectiveness.

It is a fact that the human brain processes visual information better than text, and that is where data visualization comes in handy. Explaining trends and stats will not be a problem when you use design elements, charts, and graphs.

What Is Data Visualization?

If you want to help those viewing specific data understand its significance better, you need to represent it in a visual context. That is what data visualization is all about. It is a concept that allows you to organize data in a compelling manner that is easy to digest.

How Data Visualization Works

Data in a visual format helps people extract meaning from information quickly and easily—unlike when it is in text, in which case it can be confusing. Additionally, this technique will help you expose trends, correlations, and patterns that may go unnoticed.

Static vs. Interactive Data Visualization

Static data visualization includes visuals like maps and charts. On the other hand, interactive data visualization allows individuals to drill down into the details of graphs and charts using computers and mobile devices. After that, one can change the data they see and process it interactively.

Time Series Visualization

As the name suggests, time series visualization refers to visuals that track data or performance over a specific period. This approach is ideal for individuals who want to show changes in variables over time.

Examples of Time Series Visualization

Here are time series visualization options you that offer multiple ways to leverage this approach:

  • Bullet graphs
  • Line charts
  • Area charts
  • Bar charts

Best Practices

There are several things worth considering when trying to figure out how you will visualize your data. Here are some of the best practices you should consider adopting:

  • Offer your audience value by educating them using your visuals.
  • Identify the ideal visual depending on your data and its purpose.
  • Ensure the visuals you use are straightforward and as simple as possible.
  • Your data should be viewable and easily understandable.
  • The necessary context in and around your visual should be available to your audience.

Why Is Data Visualization Necessary?

People can learn a lot through visuals, and data visualization focuses on the use of natural human skills to enhance efficiency in organization and processing. It is an effective way to simplify complex information and improve memory.

How Do You Achieve Data Visualization?

Mapping from data space to graphic space is perhaps the simplest understanding of data visualization. A classical visual implementation procedure, in this case, is processing and filtering the data, transforming it into an expressible visual form, and rendering it into a user-visible view.

Use Your Data Effectively

Today, business systems are generating tons of data, and mining such information in a meaningful way is what helps you implement the right strategies going forward. Also, many decisions regarding the operation of various entities depend on the information available in-house, and that is why you need to make the most of such data.

Data visualization ensures that the information at your disposal is easy to digest and can help you make informed decisions. After that, you can develop the right strategies using insight from such details, which implies that you will achieve a desirable outcome after implementation.

At Helios, we’re experts in helping you make the most out of your data. Contact us to learn more about our services.



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