Sometimes we are not just freely comparing numbers to each other. We may want to know their relative importance as part of a whole.
This type of data visualization is all about that. We can easily understand the weight of different elements within a company, a project or a strategy and make decisions based on that.
Pizza charts are the stars of this category. slovenia phone number data But there are some variations, such as stacked bars and treemaps.
That’s the best way to analyze budget , for example, and it’s also a very effective method for surveys about age, class, and other aspects of your target audience.
CorrelationCorrelation is similar to
comparison, but has one crucial difference: this type of data visualization takes into account changes over time.
As the name suggests, it shows how two or more indicators evolve together. It allows people to understand if and how one influences the other.
These charts are also great for analyzing KPIs in a company. The scatter chart is certainly the most commonly used for this purpose.
Distribution
Distribution charts are more about incidence and volume than straight performance. They show how often a set of values occurs over a period. It’s a bit like a part of the whole, but it’s mostly used for statistics.
You’ll typically see this type of data displayed as a histogram or density chart.
Flow
Flowcharts are more about movement than volume. They show the evolution of an indicator and also how this evolution connects to other points and periods.
This is usually seen in financial reporting, where the segments require different internet strategies budget is not only measured and segmented, but also accounted for in fund transfers and resource allocation.
Sankey charts are perfect for this. Network and chord charts also work very well. The key to this type of data visualization is connection.
What are the trends in data visualization?
Charts and other means of data visualization have been used for business and marketing decisions for a long time.
However, this doesn’t mean that the way we do this can’t change and become more efficient as tools and processes improve.
This evolution has never been as rapid as it is now. Let’s see how technology is impacting this area, setting out trends for now and the future.
Interactive content
Interaction is the next big step in data visualization, not just for internal meetings, but also in the way a brand communicates with its audience. Interactive infographics are perhaps the best example of this.
This is an engaging format that educates the europe email audience and encourages the buyer persona to take the following actions:
- share,
- subscribe,
- buy .
Just do a little research to see how many companies are mixing data visualization and content creation . It’s a new way of telling stories: faster, more meaningful.
Responsiveness
Data is part of our daily lives, especially our professional lives. For this reason, to be successful, companies must provide all employees with access to objective and easy-to-understand information.
Traditionally, these charts were displayed on a sheet of paper or projected onto a screen. However, these methods are not enough. You need to be informed at home, on the go and at any time.
That’s why specialized platforms are evolving to adapt their tools to responsive designs . This means having information accessible on any screen size, with the same focus on readability and visual fidelity.
Data integration
Data visualization is becoming increasingly dynamic, after all, technology enables the collection and processing of large amounts of information.
The combination of centralized and integrated management solutions and visual tools opens up a new and powerful way of visualizing and tracking indicators. An interesting example is Artificial Intelligence applied to Big Data .
Imagine having the power to easily and objectively visualize what was once an incomprehensible amount of information.