Linechart

🧭 Overview

Line charts are used to display trends over time, track changes, and highlight patterns in continuous data. They provide a clear visual representation of data fluctuations, making it easy to identify upward or downward trends. Line charts simplify the analysis of temporal relationships, offering a straightforward way to visualize how data evolves, allowing for quick and accurate insights.

📊 Example Use Case

• Sales performance over time

• Website traffic monitoring

• Customer churn rate analysis

• Product usage tracking

• Financial market trends

• Energy consumption monitoring

• Employee productivity over time

⭐ Key Features

Generally used for temporal data, the line chart is perfect for visualizing how values evolve over a continuous period.

📝 Example: Track the evolution of your sales throughout the year.

Line charts are ideal for displaying quantitative values over time, helping you:

• Visualize trends and interconnections between data points.

• Gain a global view of a specific period and assess growth or decline.

• Identify patterns and make data-driven decisions based on historical trends.

📌 Tip: To keep your chart clear and readable, limit the visualization to a maximum of 3 lines.

Configuration

New Linechart

Learn how to create a linechart using the new design with this step-by-step guide. Explore the interactive walkthrough below to get started quickly, then dive into the full configuration reference table for in-depth details.

Chart Configuration Step-by-Step

	Option	How does it work?
Dimension
	X-Axis	The X-Axis corresponds to a column in your dataset, such as ‘Product Type' or 'Date’.
	Categorize by line	This option enables you to add multiple lines to your chart, based on the values of a single column.
	Change date format	You can change the display format by selecting an option from the dropdown. Common D3 formats are suggested. Note: Your column must be in a date format for this option to work.
Measure
	Line Y-Axis	The Y-Axis represents a numerical column from your dataset. You can select an aggregation method from the menu, which may vary depending on the chart type.
	Precision	Precision determines the level of detail in how your values are displayed. By default, measures use a .2f format, meaning they are shown with two decimal places. Example: A value of 3.14159 will be displayed as 3.14 when using .2f formatting.
	Unit	Unit represents the total quantity or category being measured for a KPI. It defines what the values correspond to, providing context for better interpretation.
	Show value on line	Displays all values above the line for easy visibility.
Additional parameters
	ID	Unique chart Id
	Add complementary value	The complementary value is displayed in the data label, providing additional context and making it easier for viewers to interpret the data at a glance. It is possible to add a precision, an unit and a sentiment.
	Add user chart guide	Lead your chart viewers through the narrative of your data.
Chart performance		Technical performance

Style Configuration

	Option	How does it work?
	Lines	Customize the line color to align with your branding preferences.
	Add colored zones	You can use four different sentiment statuses (positive, warning, negative, and neutral) to create colored background areas by setting a minimum and maximum value, enhancing visual clarity. There are no limits to the number of color zones you can add. Note: Sentiments can be customized in the app theme.
	Enable color gradient	Configure the color gradient to adjust the intensity of a single color, enhancing visual depth and emphasis.

Legacy Linechart

New vs. Legacy Configuration