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Getting Started with Streamlit for Data Science

You're reading from   Getting Started with Streamlit for Data Science Create and deploy Streamlit web applications from scratch in Python

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800565500
Length 282 pages
Edition 1st Edition
Languages
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Author (1):
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Tyler Richards Tyler Richards
Author Profile Icon Tyler Richards
Tyler Richards
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Creating Basic Streamlit Applications
2. Chapter 1: An Introduction to Streamlit FREE CHAPTER 3. Chapter 2: Uploading, Downloading, and Manipulating Data 4. Chapter 3: Data Visualization 5. Chapter 4: Using Machine Learning with Streamlit 6. Chapter 5: Deploying Streamlit with Streamlit Sharing 7. Section 2: Advanced Streamlit Applications
8. Chapter 6: Beautifying Streamlit Apps 9. Chapter 7: Exploring Streamlit Components 10. Chapter 8: Deploying Streamlit Apps with Heroku and AWS 11. Section 3: Streamlit Use Cases
12. Chapter 9: Improving Job Applications with Streamlit 13. Chapter 10: The Data Project – Prototyping Projects in Streamlit 14. Chapter 11: Using Streamlit for Teams 15. Chapter 12: Streamlit Power Users 16. Other Books You May Enjoy

Making an MVP

Looking at our data, we can start by asking a basic question: what are the most interesting questions I can answer with this data? After looking at the data and thinking about what information I would want from my Goodreads reading history, here are a few questions that I have thought of:

  • How many books do I read each year?
  • How long does it take for me to finish a book that I have started?
  • How long are the books that I have read?
  • How old are the books that I have read? 
  • How do I rate books compared to other Goodreads users?

We can take these questions, figure out how to modify our data to visualize them well, and then make the first go at our product by printing out all of the graphs. 

How many books do I read each year?

For the first question about books read per year, we have the Date Read column with the data presented in the format of yyyy/mm/dd. The following code block will do the following:

  • Convert our column...
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