# Create a bar chart with the average of column 'b' alt.Chart(data).mark_bar().encode( x='a', y='mean(b)' # Aggregation ) Use code with caution. Copied to clipboard 4. Customizing Your Visualization
Choose the chart type (e.g., mark_point() , mark_bar() , mark_line() ). altair
Altair works best with tidy data—long-form data where each row is an observation and each column is a variable. # Create a bar chart with the average of column 'b' alt
alt.Chart(data).mark_bar().encode( x=alt.X('a', title='Category'), y=alt.Y('b', title='Value'), color='a' # Color by category ).properties( title='My First Altair Chart', width=400, height=300 ) Use code with caution. Copied to clipboard 5. Interaction Altair works best with tidy data—long-form data where
# Simple interactive tooltip alt.Chart(data).mark_bar().encode( x='a', y='b', tooltip=['a', 'b'] # Add tooltips on hover ).interactive() # Allow zooming/panning Use code with caution. Copied to clipboard 6. Saving Charts
Map data columns to visual properties (e.g., .encode(x='column1', y='column2') ). Example: Simple Bar Chart