Best Practices For Data Visualization

The use of data visualization has grown on a large scale in recent years.

There are many different charts that allow for the best types of visualization and they highlight the most important aspects of your data in order to illuminate new information and communicate them well. 

In this article, we will explore the best practices for data visualization. Read on for more information! 

What Is Data Visualization? 

Data visualization is when you turn the data that you have collected into graphics.

For instance, it is when you turn quantitative data into things like graphs, tables or charts. 

This makes the data much easier to interpret and understand. It means that you can get all the information you need by taking a quick look at a chart, rather than having to analyze lots of data. 

Data visualization is used on all different scales. It can be used for a large amount of data or just small snippets of data. 

Why Is Data Visualization Useful? 

It is often difficult to interpret the amount of data that is available out there.

We need to make sure that there are useful ways that we can visualize the data so we can analyze and interpret it in the best way possible.

The way that the information is visualized is very important because it has the power to engage audiences and project teams. It also can help the sales teams and marketers do their job successfully.

Data Visualization Best Practices 

Use Data Visualization To Empower A Specific Audience 

When you are creating data visualizations, you are not just providing information.

You also want to make sure that this information is tailored to a specific audience and is addressing their needs. 

When tailoring your data, you should consider the following factors: 

  • Who is the data visualization aimed towards? You should consider who the information is aimed towards. You should consider who the highest priority person is that the data is aimed towards and create a dashboard that is tailored towards them. 
  • What decision do I want the user to make? When you are displaying data, it is important to consider what decisions you want the people who are looking at your data to make. 
  • You should also consider what actions you want people to take because of the data. You need it to be quite easy to identify the statistically significant norm, so that it is also easy to tell whether there needs to be changes made.

Set A Goal 

Data visualization is very important in communication. This means that you should have a clear and achievable goal.

This can be in terms of performance, or behavioral analysis. 

The message that you want to put across needs to be identified after you have identified your target audience. You must know who it is being targeted before you work out what you want them to take from the data. 

You should make sure that you create charts that are easy to understand and put across the message that you want them to. 

Setting goals in this way is essential for good data visualization. This is because you will be able to put across a clear vision of the outcome so that it portrays the information that you want it to. 

Choose The Appropriate Chart Type 

Choosing an appropriate chart type for your data visualization is very important. There are four main types of charts available, and you should make sure that you are choosing the best one for your needs. 


A comparison chart is the best chart to choose if you are looking to compare a certain thing from lots of different categories.

For instance, you might be looking to compare sales by department. In this case, a comparison chart would be the best choice. Comparison charts include things like line charts, bar charts, tables and column charts. 


When you are looking to focus on the correlation between two variables, a relationship chart is the best way to go.

For instance, scatter charts or bubble charts are great ones to use. 


Composition charts show distributions. For instance, a pie chart will show the structure of a total. This will change over time.


A distribution chart will show the trends over time. This can be shown in a scatter chart or a histogram.

Make Sure The Data Is Understandable

You should ensure that every piece of data visualization that you are creating is understandable to your audience.

If it is not, then it will end up being a waste of resources. Data visualization should be easy to understand and full of important information.

Follow these tips and tricks below to make sure that the information is easy to penetrate: 

  • Only include necessary information and data. If it doesn’t help towards an overall idea, it is not useful. 
  • Create a strong title so that the audience knows what they are looking at.
  • Make sure the chart is scaled correctly. 
  • Ensure that the labels are clear. 
  • Make sure that you can understand the chart at first glance. 
  • Include the source of the data so that it feels reliable. 

Think About The Aesthetics Of The Data 

The way that the data is presented is very important for ensuring that the content is understood.

While it is important to make sure that the content looks good, you should also make sure that you don’t include too many colors or fonts on the charts.

This is important because you don’t want to overload the audience with this, instead, you want them to be able to focus on the information that they are being shown. 

It is a good idea to test out your graphs once you have designed them to see what they look like. Ask a friend to give their thoughts on whether they are easy to read and understand. 

Final Thoughts

So, now you have all the information that you need to understand data visualization.

If you follow these best practices for data visualization, you will be well on your way to success.

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