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Experimental Design and Scientific Data Analysis provides accessible information about the research process from start to finish as applied to conservation, to enable readers to successfully plan and carry out research and share findings effectively with others.
After you've crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python's Altair library and generative AI tools like Copilot and ChatGPT, it's never been easier to create intuitive data presentations.
Discover the skills and insights you need to accurately and efficiently interpret data, improving your influence and decision-making at work
Clear, nuanced introduction to digital text mining and data analysis specifically for students in digital humanities and computational social science.
Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication.
Driven by both theory and practice, this accessible book will help you get to grips with understanding and doing grounded theory from a constructivist perspective.
Understand how to harness data to drive creativity in your marketing, creating data-informed, imaginative campaigns that have real-world impact.
This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need... Læs mere
The mathematical theory of tangles, the centrepiece of the celebrated Robertson-Seymour theory of graph minors, finds... Læs mere