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Inside the world of data

What are the types of data visualization?


Besides traditional diagrams and charts, you can use various other methods for data visualization.

When you think of data visualization, you likely immediately associate it with a bar chart or a line graph. And we agree that these are the most commonly used and very important when it comes to data visualization.


Although simple charts like the ones mentioned above are the most common and familiar forms of data visualization, they represent only a fraction of what is possible.


This article will explore beyond standard visualizations and discover more advanced ways to present data, allowing you to gain valuable insights and innovatively engage your audience.


The simple visual organization is ideal for conveying objective and direct information, such as data trends over time, proportions, or percentages.


Simple charts in Data Visualization are those that present information directly and objectively.

Some examples of simple charts and their applications include

  • Bar charts for data comparison and distribution.

  • Line graphs show trends over time.

  • Donut charts represent the percentage composition of a whole.



These charts are widely used in various sectors, from business analytics to scientific research, due to their simplicity and ability to provide clear and concise information.


When discussing more complex charts in Data Visualization, we refer to an approach that allows representing data with greater depth and detail.


These advanced charts can convey richer information and provide deeper insights into the analyzed data. They help identify patterns, trends, and wisdom in large and complex datasets.


For a better understanding, look at these examples:

  • Heatmaps for visualization use colours to represent the density or intensity of data in an area.

  • Scatter plots display the relationship between multiple variables, showing the dispersion of points in space.

  • Tree diagrams represent hierarchies or category structures in a tree, showing the relationship between categories in an organized way.



Therefore, you can create successful data presentations by choosing the technique that stands out and adapts to the context.


Explore different visualization techniques to engage your audience, communicate information innovatively, and make informed decisions. Don't limit yourself to standard charts; discover new ways to transform data into impactful and engaging stories.


Use the available techniques and turn your data into captivating and impactful stories.


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