Line Graph Maker

Create professional line graphs to visualize trends and changes over time with our free online tool.

Series Color Actions
Data Points
X Value Series Y Value Actions

Supported formats: CSV, TXT

Month,Sales,Expenses Jan,12000,8000 Feb,15000,9000 Mar,18000,10000 Apr,16000,9500 May,20000,11000
Chart Appearance
Line Customization
Export Options

About Line Graphs

Line graphs are powerful data visualization tools that display information as a series of data points connected by straight lines. They are particularly useful for showing trends over time and comparing multiple data series.

Best Practices: Use line graphs for continuous data over time. Limit the number of lines to 4-5 for clarity. Use contrasting colors for different lines.

When to Use Line Graphs

  • Trend Analysis: Visualize changes over time
  • Performance Tracking: Monitor progress and performance
  • Comparison: Compare multiple data series
  • Forecasting: Predict future trends based on historical data
  • Data Patterns: Identify patterns and cycles in data

Line Graph Design Tips

  • Clear Labels: Label axes clearly with units
  • Consistent Scale: Use consistent scales for comparison
  • Gridlines: Add light gridlines for better readability
  • Legend Placement: Place legend where it doesn't obscure data
  • Line Differentiation: Use different styles for multiple lines
  • Data Points: Add markers for key data points

Common Line Graph Types

Type Description Best For
Basic Line Standard line graph with one or more lines Simple trend visualization
Stacked Area Lines with filled areas below them Showing cumulative totals
Step Line Lines with horizontal and vertical segments Discrete changes at specific points
Multi-Axis Multiple Y-axes for different scales Comparing different metrics
Sparklines Small, simple line graphs without axes Dashboard visualizations

Data Preparation Tips

  • Time Intervals: Use consistent time intervals on X-axis
  • Data Sorting: Ensure data is sorted chronologically
  • Missing Values: Handle missing data appropriately
  • Data Aggregation: Aggregate data at appropriate level
  • Outliers: Identify and address outliers

Line Graph Examples

Single Trend Line

Multiple Series

Multi-Series Comparison

Dashed and Dotted Lines

Where Line Graphs are Used

  • Financial Analysis
  • Health Monitoring
  • Weather Tracking
  • Performance Metrics
  • Stock Market Analysis