Technology

Tips to Make an Amazing Data Visualization

Interested in making amazing data visualizations but don’t know how or where to start from? In this article, we are going to take a look at some tips to make an amazing data visualization. So let us get to it.

Effective Tips to make an amazing Data Visualization:

Here you will get to know the most effective tips to make an amazing data visualization.

Never give an unnecessary explanation:

To make your visualizations more engaging, you must never over-explain. Meaning, if the copy has already mentioned a fact then same information should not be mentioned in the chart header, callout, or subheading. Repetition can make your data visualization less interesting.

Don’t add information that doesn’t support your story:

Here we never intend to give a message to kill half your data points but make sure that you’re not adding anything that doesn’t support the story. Ornamentations, unnecessary illustrations, chart junk, etc should be used only if necessary and relevant.

Always include a zero baseline wherever possible:

We all know that line charts don’t have to start at a zero baseline. And yet we would suggest you to include it if it is giving out more contexts for comparison. For example, if there is relatively small fluctuation in the data which are meaningful than you can truncate the scale and easily showcase these variances.

Keeping your charts and graphs headers simple:

Many people think they can make data visualizations more engaging and responsive by making things fancy. But this never works out for anyone. You don’t have to get clever, verbose, or even pun-tastic. Instead you must keep descriptive text above the chart very brief and totally relevant to the chart underneath. Remember, you have to focus on the quickest path to comprehension.

Avoid using distracting fonts and elements:

There comes a point where you don’t need to emphasize a point and yet you do it because you feel like it is necessary. But trust us it is not. You don’t have to use different fonts everywhere as it will distract the reader. And if you still want to emphasize a point, then it is best to only use bold or italic text. And both should never be used at the same time.

Keep sufficient contrast between the colors:

While reading a document that has similar colors, you would notice it is hard to tell the difference. So to avoid this situation, you should use different colors/contrasting colors. But at the same time, you must also make sure to not use high-contrast color combinations like red and green or blue and yellow. Thus you need to be careful with the colors you choose for your data visualization.

Labels must be visible:

Labels are very important as it gives readers a direction so they should be unobstructed and easily identified with the corresponding data point. With that, you should make a habit of including data labels with your data points. The most obvious advantage of this practice is that it lets readers identify lines and corresponding labels quickly.

Always use the right sources:

We all know that great stories are the results of great data. Meaning, you should consider taking data from reliable and authentic sources. Many people prefer using external data as it is easy to find but we prefer to extract internal data as it is particularly more effective source and offers more unique and interesting stories.

Try to make the most out of your content:

Many people manage to find the most interesting content but often they fail to make the most out of this content. To help you avoid this situation, you can make your content more useful by presenting it in different forms like infographics, reports, micro content, animated infographics, e-books, and more.

Keep you data order even, consistent, and intuitively:

For your data, you must take care of different things like making sure to use natural increments on your axes. For example, you should make increments like this (0, 5, 10, 15, 20,…) and not uneven or awkward increments (0, 3, 5, 16, 50,..). Next, you must make sure that the order of the items in your legend is a ditto copy of the order of your chart. Lastly, you should make sure that there is a logical hierarchy that is, you should order categories either alphabetically or sequentially.

Conclusion:

Thus these and many other tips can help make amazing data visualizations. So all you have to do is read these tips to make an amazing data visualization and never stop learning.

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