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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.
Take the fast track to amazing data presentations! Data Storytelling with Altair and AI introduces a stack of useful tools and tried-and-tested methodologies that will rapidly increase your productivity, streamline the visualization process, and leave your audience inspired.
In Data Storytelling with Altair and 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 Altair and 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 technology
Every dataset tells a story. After you’ve cleaned, crunched, and organized the raw data, it’s your job to share its story in a way that connects with your audience. Python’s Altair data visualization library, combined with generative AI tools like Copilot and ChatGPT, provide an amazing toolbox for transforming numbers, code, text, and graphics into intuitive data presentations.
About the book
Data Storytelling with Altair and AI teaches you how to build enhanced data visualizations using these tools. The book uses hands-on examples to build powerful narratives that can inform, inspire, and motivate. It covers the Altair data visualization library, along with AI techniques like generating text with ChatGPT, creating images with DALL-E, and Python coding with Copilot. You’ll learn by practicing with each interesting data story, from tourist arrivals in Portugal to population growth in the USA to fake news, salmon aquaculture, and more.
What's inside
The Data-Information-Knowledge-Wisdom (DIKW) pyramid
Publish data stories using Streamlit, Tableau, and Comet
Vega and Vega-Lite visualization grammar
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.
The technical editor on this book was Ninoslav Cerkez.
Table of Contents
Part 1
Introducing data storytelling
Running your first data story in Altair and GitHub Copilot
Reviewing the basic concepts of Altair
Generative AI tools for data storytelling
Part 2
Crafting a data story using the DIKW pyramid
From data to information: Extracting insights
From information to knowledge: Building textual context
From information to knowledge: Building the visual context
From knowledge to wisdom: Adding next steps
Part 3
Common issues while using generative AI
Publishing the data story
A Technical requirements
B Python pandas DataFrameC Other chart types