Last updated: Apr 26, 2024
Error bar charts represent the variability of data and indicate the error (or uncertainty)
in a reported measurement. Error bars help determine whether differences are statistically
significant. Error bars can also suggest goodness of fit for a specific function.
Creating a simple error bar chart
- In the Chart Type section, click the Error bar
icon.
The canvas updates to display an error bar chart template.
- Select a scale variable as the Category variable (the variable whose data is represented on the X-axis).
- Select a variable as the Y-axis variable (the variable whose data is represented on the Y-axis).
- Click the Save visualization in the project control. Select Create a new asset or Append to existing asset. Provide a Visualization asset name, an optional description, and a chart name.
- Click Apply to save the visualization to the project. The new visualization asset is now available on the Assets tab.
Options
- Category
- Lists variables that are available for the chart's X-axis.
- Y-axis
- Lists variables that are available for the chart's Y-axis.
- Category order
- Select the order in which variable categories are sorted.
- As read
- Variable categories are presented as they appear in the data set.
- Ascending
- Sort variable categories in ascending order.
- Descending
- Sort variable categories in descending order.
- Split by
- Select a categorical variable that creates a table of charts, with a cell for each category in the Split by variable. Like grouping, split by variables essentially add more dimensions to your chart by displaying information for each variable category.
- Reference line
- When enabled, displays a reference line on the chart. The reference line correlates with the selected Statistical method.
- Error bars
- When enabled, the lines that represent the range of error are displayed in the chart.
- Measure
- Select the measure type that is represented by the error bars:
- Confidence intervals
- Sets the confidence intervals for the selected variables. The default value is 0.95 (95%), as reflected in the Represent value field.
- Standard error
- Measures the standard error of the selected variables.
- Standard deviation
- Measures the standard deviations of the selected variables.
- Confidence level
- This value represents the confidence intervals for the selected Measure. The default value is 0.95 (95%).
- Statistical method
- Select the method for describing the central tendency:
- Mean
- The result of summing the ratios and dividing the result by the total number ratios.
- Median
- The value such that number of ratios less than this value and the number of ratios greater than this value are the same.
- Display mode
- Select how the Statistical method selection displays (bar, line, or circle).
- Legend orient
- Sets the chart legend orientation. Available options are Horizontal, Vertical, and Vertical bottom.
- Primary title
- The chart title.
- Subtitle
- The chart subtitle.
- Footnote
- The chart footnote.
- XAxis label
- The x-axis label.
- YAxis label
- The y-axis label.