Series
Last updated
Last updated
The Series section in the chart settings allows users to customize the appearance and behavior of each data series individually. This includes applying settings such as colors, labels, symbols, and line styles. The settings available will vary depending on the type of chart being used.
Open the Advanced Editor.
Navigate to the Styles tab.
Locate and expand the Series section.
Feature
Description
Apply To
Select which series (e.g., Sales, Discount) the settings will apply to.
Decimals
Define the number of decimal places displayed in the series data labels (Unset, 0, 1, 2, 3, etc.).
Secondary Axis
Toggle to assign the series to the secondary Y-axis for dual-axis charts.
Color
Pick a color for the series to distinguish it visually in the chart.
The Label section allows users to control how data labels are displayed on the series.
Feature
Description
Show
Toggle to enable or disable labels on the data points.
Color
Select the text color for the label.
Position
Choose where the label appears (top, bottom, inside, etc.).
Rotation
Adjust the label orientation with a slider.
Font & Size
Select a font type and adjust the text size.
Bold / Italic
Apply bold or italic formatting.
Format
Choose the number format (None, Percent, Currency).
This setting controls how markers are displayed in the chart.
Feature
Description
Show
Toggle to enable or disable symbols for data points.
Symbol Type
Choose from multiple marker shapes (circle, rect, triangle, diamond, etc.).
Size
Adjust the size of the symbol.
Color
Select a color for the symbol.
This setting is available for line charts and determines how the lines are displayed.
Feature
Description
Width
Adjust the thickness of the line.
Type
Choose between solid, dashed, or dotted line styles.
Color
Select a custom line color.
The Series section provides powerful customization options to fine-tune how each data series appears in the chart. Users can assign series to different axes, adjust label formatting, choose different marker symbols, and modify line styles for better data visualization.