Leera IconLeera

Line Chart

Trends and time series visualization guidance.

When to Use

Time-based trends, cumulative progression (with derived series), comparisons (YoY, moving average).

Data Shape

time, value (optional: series)

Prompt Patterns

  • Daily active users last 30 days line chart include 7-day moving average.
  • Weekly sum of revenue last 26 weeks line chart compare previous 26 weeks.
  • Monthly churn_rate last 12 months line chart with previous year comparison.

Example Prompts

  1. Daily sum of orders last 90 days line chart include previous 7-day moving average.
  2. Weekly sum of revenue and cost last 26 weeks line chart add profit = revenue - cost.
  3. Monthly distinct active_users last 12 months line chart include previous year same month values.

Best Practices

  • Pick sensible granularity (daily for < 120 days, weekly for longer).
  • Limit series (≤5) to avoid clutter.
  • Add moving average for noisy metrics.
  • Normalize secondary metric if scales differ (or split charts).

Common Mistakes

  • Using line for unordered categories.
  • Mixing incompatible granularities (daily + monthly).
  • Too many series (hard to read).

Derived & Reference Lines

Specify formula and reference: Include 30-day moving average, Include target line = 5000.

Troubleshooting

Jagged line? Aggregate to weekly. Flat line? Check aggregation or filter removing variance.

Snippet Progression

  1. Daily orders last 14 days line chart.
  2. Daily orders last 14 days line chart include 7-day moving average.
  3. Daily orders last 14 days line chart include 7-day moving average and same day previous week comparison.

On this page