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Streamlit for Data Science

You're reading from   Streamlit for Data Science Create interactive data apps in Python

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Length 300 pages
Edition 2nd 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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Table of Contents (15) Chapters Close

Preface 1. An Introduction to Streamlit 2. Uploading, Downloading, and Manipulating Data FREE CHAPTER 3. Data Visualization 4. Machine Learning and AI with Streamlit 5. Deploying Streamlit with Streamlit Community Cloud 6. Beautifying Streamlit Apps 7. Exploring Streamlit Components 8. Deploying Streamlit Apps with Hugging Face and Heroku 9. Connecting to Databases 10. Improving Job Applications with Streamlit 11. The Data Project – Prototyping Projects in Streamlit 12. Streamlit Power Users 13. Other Books You May Enjoy
14. Index

Exploring Palmer’s Penguins

Before we begin working with this dataset, we should make some visualizations to better understand the data. As we saw before, we have many columns in this data, whether the bill length, the flipper length, the island the penguin lives on, or even the species of penguin. I’ve done the first visualization for us already in Altair, a popular visualization library that we will use extensively throughout this book because it is interactive by default and generally pretty:

Figure 2.2: Bill length and bill depth

From this, we can see that the Adelie penguins have a shorter bill length but generally have fairly deep bills. Now, what does it look like if we plot weight by flipper length?

Figure 2.3: Bill length and weight

Now we see that Gentoo penguins seem to be heavier than the other two species, and that bill length and body mass are positively correlated. These findings are not a huge surprise, but getting to these simple...

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Streamlit for Data Science - Second Edition
Published in: Sep 2023
Publisher: Packt
ISBN-13: 9781803248226
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