Data Visualization

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With the rise of big data, visualization has become increasingly important. When dealing with a small dataset, our brain can naturally provide context and interpretation. However, in recent years, the volume, interconnectivity, and complexity of data have grown exponentially. As a result, it has become increasingly difficult (if not impossible) for the human brain to process raw data quickly and assign it meaning. We can no longer see the forest for the trees.

The recipient of data must be guided in its interpretation. Effective data visualizations provide context and meaning to data, enabling the audience to understand, interpret, and identify patterns and correlations.

Traditionally, 80% of business information is presented visually, mainly in the form of graphs and tables. However, the same data can be interpreted differently by different individuals. Personal and cultural preferences, physical limitations (such as color blindness or poor vision), and even the recipient’s intentions all influence how data is perceived. Does the audience view the data objectively, or do they only see what they want to see?

A lot happens in the brain between the moment a dashboard is seen and the moment a decision is made. The art of data visualization lies in ensuring that information is retained and processed effectively, rather than being lost in the noise.