From Chaos to Clarity: How Data Visualization can Save the WorldКНИГИ » ОС И БД
Название: From Chaos to Clarity: How Data Visualization can Save the World Автор: James Eagle Издательство: Wiley Год: 2025 Страниц: 320 Язык: английский Формат: epub (true) Размер: 11.8 MB
A radical wake up call for world overloaded with data and how data visualisation could be the answer.
In From Chaos to Clarity: How Data Visualisation Can Save the World, celebrated data visualisation creator James Eagle reveals how our data-saturated age harbours hidden dangers that places humanity in peril. He looks at how masterful visual storytelling might be our salvation. Through vivid examples and profound insights, James Eagle exposes the data pollution clouding modern life, whilst demonstrating how thoughtful, human-centred data visuals can cut through the noise, sharpen our collective understanding and light the path toward a more discerning future.
Inside the book: • How to unlock the human side of data visualisation by using empathy and storytelling • Understanding our brain's deep connection to pictures and stories, and why this matters in this digital age • Ways data visualisation can restore our human understanding of this world and tackle misinformation
This is a must-read urgent message on how data visualisation is needed to confront data overload and misuse. From Chaos to Clarity is perfect for professionals in finance, engineering, science, mathematics and health, as well as journalists, writers, data scientists, and anyone interested in visual storytelling, reclaiming truth and sharpening our collective thinking to tackling some of the biggest challenges we face in this world.
In recent years, I've explored how AI tools can enhance my own workflow. While the technology is still evolving, tools such as ChatGPT and Claude have already proven useful for analysing and refining datasets. I've even used it to write snippets or code or identify problems with my own code. Previously, I relied on Python – a coding language – to clean and process data, which could take hours to write and debug. Now, AI not only generates Python code automatically, but also uses advanced algorithms to complete these tasks extremely quickly, saving time and improving the quality of the final output.
There is another powerful use for AI, which I haven't mentioned yet. It's something that I am doing more frequently these days. With the right AI tools, you can extract data points from nearly anything. You can even extract data from pixelated charts that appear to have no available underlying dataset. Advanced algorithms can analyse a chart's structure, interpret its axes and narrative and use mathematical calculations to reconstruct a spreadsheet from the drawn lines or bar heights of a chart. This technology has become so sophisticated that it can replicate almost any dataset. If there's a pixel on the screen, it can be analysed and converted into usable data.
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From Chaos to Clarity: How Data Visualization can Save the World 
