Now that you know how data visualization is done, we can use these concepts and apply them to real, practical situations.
That is why now we will tell you the most common types used, what they show us and when they make sense.
Changes in a certain period
Changes over time is one of the most widely used and simplest types of data visualization. It is a visual element that represents how a number changed, in a given context, in defined periods.
Line charts are the most common example, such as stock prices or financial reports. They can also be represented as bars (single or stacked) and even as a tree.
This is the Easiest Way to See Kpis, for Example.
By looking at the results over time, you can see not only the evolution of a given performance, but also the trend for the near future.
Many high and low peaks show instability. A downline shows the need to act quickly. A flat curve can mean it’s time to change things up.
If the first type compares a number with itself over time, when comparing categories, different sources are placed next to VP Administration Email Lists each other to understand the relationships between them. It is another common and simple type of data visualization.
Perhaps the most used here is that of the grouped bars, which makes its scale a direct comparison. It is particularly useful when benchmarking . You can compare the effort of different departments or the performance of the company compared to its competitors.
For content, a great way to use category comparison
Is to create a solution finder to enable sales. This is the kind of data visualization that adds real value to your audience. You can see an example of a rock content solution finder here.
Rating charts are similar to category comparison charts, but take a slightly different approach. Here the position matters a lot.
Ranking generally involves comparing three or more numbers within a fixed period. Then, you will be able to understand how all these aspects are related and, above all, which ones were more successful.
Charts arranged in bars or columns are the way to go. With a quick glance, a lot of information can be conveyed using a simple position-based graph.