How can I create interactive data visualizations using Streamlit?

How can I create interactive data visualizations using Streamlit?

You can create interactive data visualizations in Streamlit by using libraries like Matplotlib, Plotly, or Altair. First, install Streamlit and the visualization library you want to use.

What are the steps to install Streamlit?

To install Streamlit, you can use pip. Just run pip install streamlit in your terminal. After that, you can start building your app!

Can you show me a simple example of a Streamlit app with a chart?

Sure! Here's a simple example:

import streamlit as st
import pandas as pd
import altair as alt

# Sample data
data = pd.DataFrame({'x': [1, 2, 3, 4], 'y': [10, 20, 30, 40]})

# Create a chart
chart = alt.Chart(data).mark_line().encode(x='x', y='y')

# Display the chart
st.altair_chart(chart)

This code creates a line chart using Altair.

How can I deploy my Streamlit app?

You can deploy your Streamlit app using Streamlit Sharing, Heroku, or AWS. For Streamlit Sharing, just push your code to GitHub and link it to Streamlit Sharing.