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Barlinecharts combine bar and line elements to visualize relationships between different data sets. Bars effectively compare categorical values, while the line highlights trends or patterns over time. This hybrid approach enhances data interpretation by providing both absolute comparisons and trend analysis in a single, clear visualization, making insights easier to identify and understand.
📊 Example Use Case
Revenue vs. Profit Margin Over Time
Website Traffic and Conversion Rate
Sales Volume and Average Selling Price
Marketing Spend vs. ROI
Employee Headcount and Attrition Rate
Production Output and Defect Rate
The Barlinechart is a powerful visualization that combines volume and variation, making complex comparisons clear and insightful.
Correlate Volume and Variation: This chart uniquely helps you analyze how a volume (e.g., sales) relates to a variation (e.g., margin changes).
Compare Metrics with Different Scales: Perfect for confronting dimensions like absolute values and percentages on the same chart. 📝 Example: Analyze how your Business Units’ sales (€) and margins (%) have evolved over time.
Visualize Trends and Progress Over Time: The combination of bars and a line clearly reveals trends, progressions, and patterns across time periods.
Handle Continuous and Categorical Data: Use it to display continuous data (e.g., time series) alongside different categories.
Ideal for Different Value Scales: Great when comparing two metrics with vastly different scales—e.g., 3% vs. €3,000K. 📝 Example: Track your energy consumption (absolute value) over time while evaluating its percentage change.
Learn how to create a barlinechart 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
Style Configuration
Dimension
Bar category
The bar category corresponds to a column in your dataset, such as 'Product Type'.
Order bars
This option allows to order bars either by column or by custom value.
By column
Bars are ordered based on the selected column. By default, they follow an ascending order—starting with numerical categories, followed by alphabetical (A-Z). This order can be reversed.
By custom value
Bars are ordered based on the selected measure. For example, if the category is 'October' and the bar height is '10', you need to set the value to 10 for this bar to appear first.
Group bars
Bars are grouped by category. For example, product types tracked monthly over a long period can be grouped by year.
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
Bar height
The bar height represents a value from your dataset. You can select an aggregation method from the menu, which may vary depending on the chart type.
Line Y-Axis
The Y-Axis represents a value 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 bar
Displays all values above the bar for easy visibility.
Show value on line
Displays all values above the line for easy visibility.
Unify scales for bars and lines
Ensure bars and lines share the same scale for accurate comparison and clear visualization.
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
Theme
Bars and lines
Customize the bar and line color to align with your branding preferences.
Dataset*
Select the dataset used by the chart
Bars Label*
Select the column containing the label of bars
Bars Value*
Select the column containing the value of bars
Bars
Bars groups
Select the column containing the name of the parent bars to group them
Bars
Show all bar values
Displays values on top of bars. Activated by default.
Lines
Y axis*
Select the column name containing y axis values
Sort
Labels order
Order labels based on a column, an advanced order or a custom order.
Display
Use same scale for bars and lines
Enhance readability of barlinecharts
