Streamlit-Apps

A collection of various Streamlit web dashboards created to learn the framework.

Streamlit-Apps

• clt_app: A demonstration of the Central Limit Theorem using randomly generated data samples.

   streamlit run "streamlit_apps\clt_app\clt_demo.py"
  

• penguin_app: An interactive scatterplot of an Arctic penguins dataset.

   streamlit run "streamlit_apps\penguin_app\penguins.py"
  

• trees_app: Data vizualization for data collected about every tree planted and maintained in the city of San Francisco.

   # Main app using Streamlit built-in data vizualization:
   streamlit run "streamlit_apps\trees_app\trees.py"
  
  
   # Example using Altair library:
   streamlit run "streamlit_apps\trees_app\trees_altair.py"
  
  
   # Example using Bokeh library:
   streamlit run "streamlit_apps\trees_app\trees_bokeh.py"
  
  
   # Example using matplotlib and seaborn libraries:
   streamlit run "streamlit_apps\trees_app\trees_matplotlib_seaborn.py"
  
  
   # Example using Plotly library:
   streamlit run "streamlit_apps\trees_app\trees_plotly.py"
  

• penguins_ml: A demo of using Streamlit to leverage machine learning models to predict the species of penguins.

   streamlit run "streamlit_apps\penguins_ml\penguins_streamlit.py"