This book teaches how to transform data insights into compelling narratives, focusing on the art of data storytelling. It guides readers through building data-driven stories using Python Altair for visualization and integrates various generative AI tools like GitHub Copilot, ChatGPT, and DALL-E to enhance the creation process. The content emphasizes a methodological approach, such as the DIKW pyramid, to systematically construct impactful stories for diverse audiences, combining theoretical foundations with practical, hands-on examples.
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Chapters
- Introducing Altair And Generative Ai To Data Storytelling (Free teaser)
- 141 From Data To Information ($0.25)
- 142 From Information To Knowledge ($0.25)
- 143 From Knowledge To Wisdom ($0.25)
- This Chapter Covers ($0.25)
- 211 Chart ($0.25)
- 213 Encodings ($0.25)
- Exercise 1 ($0.25)
- 221 The Dataset ($0.25)
- 222 Data Exploration ($0.25)
- 231 From Data To Information ($0.25)
- Listing 211 Calculating The Percentage Increase For Each Cou ($0.25)
- Listing 213 Adding An Annotation To The Chart ($0.25)
- Listing 215 Adding The Call To Action To The Chart ($0.25)
- 233 From Knowledge To Wisdom ($0.25)
- 234 Comparing Altair And Matplotlib ($0.25)
- 244 Enriching The Chart ($0.25)
- Other ($0.25)
- 311 Vega ($0.25)
- Scales ($0.25)
- Listing 37 An Example Update Section ($0.25)
- 312 Vega Lite ($0.25)
- Listing 39 An Example Encoding Section ($0.25)
- Listing 314 The Complete Html File ($0.25)
- Listing 512 Adding Text To The Chart ($0.25)
- Listing 64 How To Label To The Chart In Copilot ($0.25)
- Listing 611 Combining The Charts To Generate The Final Chart ($0.25)
- Embeddings ($0.25)
- Thinking For The Audience ($0.25)
- This Chapter Covers 2 ($0.25)
- 82 Color ($0.25)
- 821 Setting Colors In Altair ($0.25)
- 822 Exercise Setting Colors ($0.25)
- 831 Font Size ($0.25)
- 84 Interaction ($0.25)
- 842 Slider ($0.25)
- 843 Drop Down Menu ($0.25)
- 85 Using Dall E For Images ($0.25)
- 851 Adding Emotions ($0.25)
- 852 Generating Consistent Images ($0.25)
- 861 Top Placement ($0.25)
- 862 Left Placement ($0.25)
- 863 Within Placement ($0.25)
- 87 Case Study From Information To Knowledge Part 2 ($0.25)
- 873 Exercise Making The Chart Interactive ($0.25)
- Images ($0.25)
- 91 Introducing Wisdom ($0.25)
- 911 Transforming Knowledge Into Wisdom Next Steps ($0.25)
- 912 Using Chatgpt As A Source Of Experience ($0.25)
- 913 Good Judgment Anchoring The Action To An Ethical Framewo ($0.25)
- 921 Chapter 1 The Dogs And Cats Campaign ($0.25)
- 93 Strategic Placement Of Next Steps ($0.25)
- Delivering The Data Story ($0.25)
- Common Issues While Using Generative Ai ($0.25)
- Summary ($0.25)
- 111 Exporting The Story ($0.25)
- 112 Publishing The Story Over The Web Streamlit ($0.25)
- 113 Tableau ($0.25)
- 114 Power Bi ($0.25)
- 115 Comet ($0.25)
- 116 Presenting Through Slides ($0.25)
- Summary 2 ($0.25)
- A1 Cloning The Github Repository ($0.25)
- A2 Installing The Python Packages ($0.25)
- A3 Installing Github Copilot ($0.25)
- A5 Installing Open Ai Api ($0.25)
- A6 Installing Langchain ($0.25)
- A8 Configuring Dall E ($0.25)
- B1 An Overview Of Pandas Dataframe ($0.25)
- B2 Dt ($0.25)
- B5 Melt ($0.25)
- C1 Donut Chart ($0.25)
- C2 Bar Charts Family ($0.25)
- C22 Column Chart With Multiple Series ($0.25)
- C23 Pyramid Chart ($0.25)
- C24 Stacked Column Chart ($0.25)
- C26 Histograms ($0.25)
- C31 Area Chart ($0.25)
- C32 Slope Chart ($0.25)
- Symbols ($0.25)