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Jan 31, 2020 · Column Editor’s Note: Data visualization, facilitated by the power of the computer, represents one of the fundamental tools of modern data science.Professor Antony Unwin from the University of Augsburg describes different ways in which data visualization is used, explores the opportunities for future research in the area, and looks at how data visualization is taught.
- Understanding Aphantasia and Hyperphantasia
- Benefits of Strong Visualization
- Anyone Can Strengthen Their Visualization Skills
Based on scans performed while participants were resting, relaxing, and not focusing on anything in particular, researchers observed that hyperphantasics had a stronger connection between the parts of the brain related to vision and frontal regions connected to decision-making and attention. While all groups displayed similar scores on standard mem...
Serani says Zeman’s research helps point out the importance of visual imagery. “And the added benefits that mindfulness, or the deepening your mind's eye, can help with many aspects in life,” Serani says. She points out that people who have keen visualization participate well in psychotherapy. “The ability to recall, summon or remember certain mome...
Zeman says aphantasics can have an imagination, too. “We have many ways to think about things in their absence, of which visual imagery is just one, and lacking the ability to visualise does not imply a lack of imagination,” says Zeman. Visualization skills vary from person to person, adds Serani. “While this research looks at individuals with visu...
- Cathy Cassata
Jun 11, 2024 · Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. This practice is crucial in the data science process, as it helps to make data more understandable ...
- 55 min
Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets. The term is often used interchangeably ...
When we see a chart, we quickly see trends and outliers. If we can see something, we internalise it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualisation can be. Big data is here and we need to know what it says
Tables, too, are a way to visualise data or statistics, and can be similarly important components of a publication. A table may in some cases visualise data better than a graphic. For example, five numbers are probably better displayed in a table than in a complex pie chart that uses colours, angles, and possibly shading and more than two dimensions.
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We need to connect to our vision and values and use visualization to show up as the best version of ourselves. Then we need to take action. Visualization is based on neuroscience — how the brain works. When combined in the context of vision and strategic action, it can seem like magic, but it is just the results of us using more of our brain ...
