1 Introducing Data Storytelling

 

This chapter covers

  • Overview of data storytelling
  • The importance of data storytelling
  • Why you should use Python Altair and Generative AI tools for data storytelling
  • When Altair and Generative AI tools are not useful for data storytelling
  • How to read this book
  • The DIKW pyramid

Data storytelling is a powerful way to share insights by transforming them into narrative stories. Data storytelling is an art you can use for any industry, such as government, education, finance, entertainment, and healthcare. Data storytelling is not only for data scientists and analysts; it’s for anyone who has ever wanted to tell a story with data.

1.1 The Art of Data Storytelling

 
 
 
 

1.1.1 Why Should You Use Data Storytelling?

 

1.1.2 What Problems Can Data Storytelling Solve?

 
 

1.1.3 How Is Data Storytelling Different From Data Visualization?

 

1.1.4 What are the challenges of data storytelling?

 
 

1.2 Why Should You Use Python Altair and Generative AI for Data Storytelling?

 
 

1.2.1 The Benefits of Using Python in All the Steps of the Data Science Project Life Cycle

 
 
 

1.2.2 The Benefits of Using Generative AI for Data Storytelling

 
 

1.3 When Altair and Generative AI Tools are Not Useful for Data Storytelling

 
 
 
 

1.4 Using the DIKW Pyramid for Data Storytelling

 
 
 

1.4.1 From Data to Information

 
 
 

1.4.2 From Information to Knowledge

 
 
 

1.4.3 From Knowledge to Wisdom

 
 
 

1.5 Summary

 
 
 

1.6 References

 
 
 
 
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