https://github.com/andresberejnoi/streamlit-apps
A collection of sample web apps built with Streamlit.
https://github.com/andresberejnoi/streamlit-apps
data-science data-visualization streamlit
Last synced: about 2 months ago
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A collection of sample web apps built with Streamlit.
- Host: GitHub
- URL: https://github.com/andresberejnoi/streamlit-apps
- Owner: andresberejnoi
- Created: 2024-01-16T20:38:15.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-26T20:51:12.000Z (over 2 years ago)
- Last Synced: 2025-06-04T20:55:46.220Z (about 1 year ago)
- Topics: data-science, data-visualization, streamlit
- Language: Python
- Homepage:
- Size: 991 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Housing Price Visualizations
if you want to check out the blog post for this project, here is the link:
* https://andresberejnoi.com/blog/build-a-simple-data-science-app-with-streamlit/
This Streamlit web application uses the Californian housing data from the third edition of the book ["Hands-On Machine Learning With Scikit-Learn, Keras, And Tensorflow"](https://amzn.to/3pC2A5b) by Aurélien Géron. I can't recommend this book enough for those looking to build a solid foundation on machine learning and machine learning frameworks (the link is a referral link).
## Pages
There are three pages in this Streamlit app. The main page shows the pandas dataframe as a table and below it there is a map of the population clusters in the dataset.
Then there is an info page containing some useful links. The third page is a bit more interesting. It has a Streamlit form with a text input area. The script counts the number of words and creates a bar chart of the 15 most common words used in the text:
