Lines

📌 What are they?

The line visualization shows a series of data points connected by lines, representing continuous values along an axis, usually temporal. Each line can represent a distinct category or variable, allowing for visual comparisons between series.

🔍It is especially useful for analyzing trends, fluctuations, and historical comparisons in sequential data.

🎯 When to use them?

• Visualize the evolution of a metric over time.

• Compare trends among multiple categories (products, areas, sensors…).

• Detect patterns, anomalies, or sharp changes in historical data.

• Represent series with frequent data (minutes, hours, days).

📥 Data Submission Formats

▸ From dataset

Example structure:

Configuration in the panel:

• Label: Month (labels on the X axis)

• Label type: String (type of labels)

• Values: Product A, Product B, Product C (categories)

• Popup: (each segment will show its value, if more data is to be visualized in each segment, select here)

▸ From MQTT

{
  "Producto A": [100, 110, 90, 120, 110, 115, 105, 125, 100, 120, 110, 130],
  "Producto B": [150, 160, 140, 170, 150, 155, 165, 160, 150, 155, 145, 165],
  "Producto C": [130, 120, 150, 120, 140, 135, 145, 130, 140, 125, 135, 140]
}