El. knyga: Data Storytelling with Altair and AI

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.

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.

In Data Storytelling with Generative AI you’ll discover:

• Using Python Altair for data visualization
• Using Generative AI tools for data storytelling
• The main concepts of data storytelling
• Building data stories with the DIKW pyramid approach
• Transforming raw data into a data story

Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you’ll love how quick Generative AI makes the whole process!

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the book

Data Storytelling with Generative AI is the fast track to data presentations that inspire your audience and move them to action. Throughout the book, you’ll be guided by the principles of the DIKW (Data, Information, Knowledge, Wisdom) pyramid: a methodology that is the backbone of leading data management systems. Each chapter takes you hands-on with a new interesting data story, from tourist arrivals in Portugal to population growth in the USA. At every stage, you’ll see how tools like Copilot, ChatGPT, and DALL-E rapidly increase your productivity and streamline the visualization process.

About the reader

For data analysts and data scientists experienced with Python. No previous knowledge of Altair or Generative AI required.

About the author

Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. She is also an external professor of Data Journalism at the University of Pisa. She has published more than 40 scientific papers at national and international conferences and journals.