Below we will give you a description of each type of representation:
- bar chart: uses a set of bars to categorize different data points;
- Area chart: Contains a variety of layers that form an area below the line;
- pie chart or pizza chart: defines parts of a whole using the metaphor of pizza slices;
- Heat map: This is a map with different colors to represent different levels of intensity.
You can also use the marker chart, scatter plot, singapore phone number data histogram, and bubble chart. It all depends on what you want to express and what variables you are examining.
What are the main types of data visualization?
Now that you know how data visualization is done, we can use these concepts and apply them to real-world, practical situations.
That’s why we’ll now tell you the most common types used, what they show us and when they make sense.
Changes over a given period
Change over time is one of the most commonly used and straightforward types of data visualization. It is a visual that represents how a number has changed, in a given context, over defined periods.
Line charts are the most common example segmentation leads to more successful online strategies such as stock prices or financial reports. They can also be represented as bars (single or stacked) and even in tree form.
This is the easiest way to view KPIs, for example. By looking at 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 downward trend line shows the need to act quickly. A flat curve may mean it’s time to change things up.
Category comparison
If the first type compares a number to itself over time, then comparing categories involves placing different sources side by side to understand the relationships between them. It is another common and simple type of data visualization.
Perhaps the most commonly used one here is the clustered bar chart, 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. Here’s an example of a solution finder from Rock Content .
Ranking
com europe email parison charts, but they take a slightly different approach. Here, position matters a lot.
Ranking usually involves comparing three or more numbers within a fixed period. Then, you will be able to understand how all these aspects relate to each other and, above all, which ones were more successful.
Charts organized in bars or columns are the way to go.