Linechart
Last updated
Was this helpful?
Last updated
Was this helpful?
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
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.
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
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
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.
Customize the date display on the X AXis. Use for this ex. %Y-%m-%d.
