Data visualization has always been part of every presentation and report in various fields. That’s probably because of its various benefits. Aside from interpreting large batches of data in a way that’s easier to understand, data visualization actually has more significant uses.
However, not all data visualizations are efficient. Bad data visualizations also exist. The truth is, these kinds of data visualizations are not beneficial and, in fact, are even damaging to your presentation. Are you interested in knowing what would help you prevent poor data visualization? The good news is that a graph maker can be a big help in avoiding this nightmare.
5 Bad Data Visualization Examples
If you’re wondering what makes data visualization bad, there are a number of factors. Everything comes down to how effective they are. Does the data visualization you used serve its purpose or was it able to help you achieve your objectives? If the answer is no, then something is not right with it.
To help you understand bad data visualization, here are some examples that you can refer to:
Wrong color combination
Color is one of the first things people see on a chart or graph. Therefore, it should be attention-grabbing and pleasing to the eyes. This is the reason why it is a must that you know the dos and don’ts in the selection of color schemes. Although this one is tricky and will take you a pile of research, it will be worth it in the end.
Misuse of the type of chart or graph
Misleading graphs or charts is one of the worst data visualizations mistakes anyone can make. Unfortunately, this is one of the most common problems.
Too much information and colors
Some want to go for colorful visualization because they believe it makes the visual presentation of data more creative. They also want to make it informative so they put lots of information in their charts or graphs. In general, however, the result is not desirable. Putting enough information and sticking to a few colors with appropriate contrasts hold better attention from your audience.
Adding irrelevant details
An example of good data visualization is having the right amount of information. Of course, the details it has should be appropriate and the most significant. Therefore, information that has little significance should not be included.
With data visualization, consistency is extremely important. It is ideal to use texts, graphics, and images with similar sizes throughout the data set to avoid confusion. Take this template below as an example of a data visualization with consistent scales. Look at the size of the images. All of them are the same, right? Although the category “army” has the biggest number, it doesn’t mean that you should use a bigger graphic for it.
Reasons Why Graph Makers Avoid Bad Data Visualization
If you’re not fond of using graph makers, then you’re overlooking its benefits. There’s nothing wrong if you’d rather edit graphs on your own, but graph makers can really make your life easier. Of course, the main thing that it does is it prevents you from coming up with a bad presentation of data.
GRAPH MAKERS PROVIDE TEMPLATES
If you’re busy and you want to save time, a graph maker can definitely help you out. With this tool, you won’t need to conceptualize anymore as they already provide templates that you can use. Just like with Venngage, this one even offers free templates that you can enjoy. Their templates are carefully designed and can be considered good data visualizations.
YOU CAN MODIFY THE TEMPLATE YOU USE
Although graph makers like Venngage already have numerous templates, you still have the power to edit them and make them even better.
THIS TOOL ALSO GIVES TIPS THROUGH THEIR BLOGS.
Graph maker websites generally offer advice to their users by posting useful blogs. This is where they provide the secrets, hacks, and means to make superb data visualizations.
GRAPH MAKERS HAVE THE RIGHT CHART/GRAPH FOR YOU.
Selecting the appropriate chart or graph according to the subject you’ll present is very important. Graph makers such as Venngage categorize all the templates they provide according to their uses. With this, you could choose the perfect template and sample that you need.
THEY PROVIDE SAMPLES THAT YOU CAN TAKE INSPIRATION FROM
Don’t know where to start your data visualization? It’s just normal as beginning from scratch is always overwhelming. But with graph makers, you get tons of ideas with the samples they provide.
What Should You Look for in a Graph Maker?
The perfect graph maker that you should use is the one that is easy to access, use, and navigate. Also, check if the site indicates if the template is free or should be paid. When a graph maker site is transparent with what they offer, then it’s safe to use.
An ideal graph maker also provides templates and samples for their users. At the end of the day, it should make things easier for you, not the other way around.