Data Storytelling with Altair and AI - Chapter 1.pdf
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An overview of Chapter 1 of the book Data Storytelling with Altair and AI What is Data Storytelling? Data storytelling goes beyond visualization. It’s a journey that starts with data exploration and culminates in a narrative that guides the audience toward insights and understanding. This approach bridges the gap between data professionals and audiences by framing data in a meaningful context. Learn more Amazon https://www.amazon.com/Data-Storytelling-Altair-Angelica-Duca/dp/1633437922/ Manning.com https://www.manning.com/books/data-storytelling-with-altair-and-ai
![Tools for Data Storytelling
• Python Altair:
– A declarative library
simplifying
visualization.
• Generative AI:
– Tools like ChatGPT,
DALL-E, and GitHub
Copilot aid in text,
images, and code.
import altair as alt
import pandas as pd
df = pd.DataFrame({
'x': [1, 2, 3, 4, 5],
'y': [1, 4, 9, 16, 25]
})
chart = alt.Chart(df
).mark_line(
).encode(
x='x',
y='y'
).properties(
title='Square Numbers'
)
chart.save(‘chart.png’)](https://image.slidesharecdn.com/01-241026080756-83eeb12d/85/Data-Storytelling-with-Altair-and-AI-Chapter-1-pdf-4-320.jpg)
Data Storytelling with Altair and AI - Chapter 1.pdf
- 1. Chapter 1 Introducing Data Storytelling A quick overview of the essentials of data storytelling, its tools, and applications.
- 2. Introduction Data storytelling is crucial for effectively communicating insights. – combines data science with narrative techniques to make data relatable. – shifts focus to the audience’s perspective.
- 3. What is Data Storytelling • Data storytelling – turns raw data into engaging narratives. – Moves from data exploration to presentation. – Focuses on relatable stories to help audiences make informed decisions.
- 4. Tools for Data Storytelling • Python Altair: – A declarative library simplifying visualization. • Generative AI: – Tools like ChatGPT, DALL-E, and GitHub Copilot aid in text, images, and code. import altair as alt import pandas as pd df = pd.DataFrame({ 'x': [1, 2, 3, 4, 5], 'y': [1, 4, 9, 16, 25] }) chart = alt.Chart(df ).mark_line( ).encode( x='x', y='y' ).properties( title='Square Numbers' ) chart.save(‘chart.png’)
- 5. The DIKW Pyramid • The DIKW Pyramid guides data storytelling. • Helps to structure data stories from raw data to actionable insights. • Each step transforms data, adding context, knowledge, and wisdom.
- 6. Key Takeaways • Data storytelling combines art and science, encouraging audience action. • Shifts the focus from the data scientist’s perspective to audience interests. • Python Altair and Generative AI enhance the storytelling process. • The DIKW Pyramid structures data, making it actionable and impactful.