Line Graph

Line graphs are fundamental visualizations for displaying continuous data and trends over time. By connecting data points with lines, they effectively communicate the direction and rate of change in your data. Multiple lines can be used to compare trends across different categories, making line graphs ideal for stock prices, temperature changes, sales trends, and any time-series analysis.

Example Visualization

Multi-line graph showing temperature trends for 3 cities over a year

Try this prompt

"Create a multi-line graph comparing 'Monthly Average Temperature' for 3 cities (New York, Miami, Chicago) over a full year (Jan-Dec). Generate realistic data: New York (30°F-85°F), Miami (65°F-90°F), Chicago (25°F-80°F) with appropriate seasonal patterns. Use distinct line colors (NYC: blue, Miami: orange, Chicago: green) and marker styles (circle, square, diamond). Add a shaded region showing the 'comfortable range' (60-75°F). Include grid lines, format Y-axis with °F, add month abbreviations on X-axis. Title the chart professionally, add a legend positioned outside the plot, and annotate the hottest and coldest points for each city."

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Python Code Example

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Common Use Cases

1Stock price tracking over time
2Website traffic analysis
3Temperature and weather trends
4Sales performance comparison

Pro Tips

Use distinct colors and markers for multiple series

Consider adding a legend outside the plot area

Highlight important data points or events