What Is a Line Chart?

A line chart plots values over an ordered sequence, usually time. Each point is connected so the audience can see direction, pace, and turning points.

Use it when the main question is how something changed over time.

Start With the Raw Data

Trend charts usually begin with dates or periods plus one or more measures:

Month Revenue
Jan R18,000
Feb R20,500
Mar R19,700
Apr R23,300
May R25,100

A table of monthly values becomes a connected trend. That makes it easier to see growth, dips, seasonality, and momentum than reading isolated numbers.

What This Chart Helps You See

Monthly revenue trend
Traffic growth
Performance tracking

Common Ways to Use a Line Chart

  • Monthly sales this year versus last year.
  • Website traffic over time.
  • Ticket volumes, uptime, conversion rate, or production output.

Frequently Asked Questions

Should I start the Y-axis at zero?

Yes, starting at zero keeps upward or downward moves honest unless a zoomed view is explicitly useful.

How to Use the Live Example Below

Change the numeric values, save them, and watch the slope and shape of the line update.

Tracking Trends Over Time

Line charts are the most powerful tool for visualising continuous data points. While bar charts compare fixed categories, line charts reveal the "story" behind your data—are you growing, plateuing, or declining? They are essential for financial reporting, website traffic monitoring, and performance tracking.

Live Demo: Editable Trend Data

Instructions: Modify the values in the grid below. Watch how the line chart's slope and trajectory change instantly as you save each cell.

Period 
Value 
Inserted values
Updated values
Deleted values
Software$4,500.00
Hardware$3,200.00
Services$2,800.00
Consulting$1,500.00
Support$900.00
Preview changes
Save changes
Cancel changes
The Revenue Growth Trend chart showing Sales Trend series.

Best Practices for Line Charts

  • Avoid Clutter: Don't plot more than 4-5 lines on a single chart.
  • Scale Matters: Always check your Y-axis. Starting at zero is usually best to avoid exaggerating small changes.
  • Highlight Key Events: Use annotations to explain sudden spikes or drops in your data.

Looking for Professional Data Visualisation?

I am a developer and if you need complex trend analysis and automated reporting systems, I can help. From SQL data extraction to beautiful, high-performance web charts, I provide the end-to-end expertise your business needs.