# Q-Q plots

Q-Q (quantile-quantile) plots compare two probability distributions by plotting their
quantiles against each other. A Q–Q plot is used to compare the shapes of distributions, providing a
graphical view of how properties such as location, scale, and skewness are similar or different in
the two distributions.

## Creating a simple Q-Q plot chart

- In the Chart Type section, click the Q-Q plot
icon.
The canvas updates to display a Q-Q plot chart template.

- Select a variable as the X-axis variable.
- 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

- X-axis
- Lists variables that are available for the chart's X-axis.
- Distribution
- The drop-down list provides all available distribution methods.
- Auto fit distribution
- Automatically fits the distribution (the default setting).
- Beta
- Returns the value from a Beta distribution with specified shape parameters.
- Exponential
- Returns the value from an exponential distribution.
- Gamma
- Returns the value from the Gamma distribution, with the specified shape and scale parameters.
- Log-normal
- Returns the value from a log-normal distribution with specified parameters.
- Normal
- Returns the value from a normal distribution with specified mean and standard deviation.
- Uniform
- Returns the value from the uniform distribution between the minimum and maximum.
- Student t
- Returns the value from Student's t distribution, with specified degrees of freedom.

- Plot type
- Select either a Q-Q (quantile-quantile) plot or a P-P (percent-percent) plot.
- Auto fit
- When enabled, data parameters for the selected Distribution are automatically estimated. When not selected, the Shape and Scale distribution values display.
- Shape1
- Sets the shape1 value for the Beta distribution. This setting is available only when Auto fit is not enabled and Beta is selected as the Distribution.
- Shape2
- Sets the shape2 value for the Beta distribution. This setting is available only when Auto fit is not enabled and Beta is selected as the Distribution.
- Shape
- Sets the shape value for the selected distribution. This setting is available only when Auto fit is not enabled and Gamma or Log-normal is selected as the Distribution.
- Scale
- Sets the scale value for the selected distribution. This setting is available only when Auto fit is not enabled and Exponential, Gamma, or Log-normal is selected as the Distribution.
- Mean
- Sets the means value for the Normal distribution. This setting is available only when Auto fit is not enabled and Normal is selected as the Distribution.
- Std. dev.
- Sets the standard deviation value for the Normal distribution. This setting is available only when Normal is selected as the Distribution.
- Min
- Sets the minimum value for the Uniform distribution. This setting is available only when Auto fit is not enabled and Uniform is selected as the Distribution.
- Max
- Sets the maximum value for the Uniform distribution. This setting is available only when Auto fit is not enabled and Uniform is selected as the Distribution.
- Degrees of freedom(df)
- Set the degrees of freedom value for the Student t distribution. This setting is available only when Auto fit is not enabled and Student t is selected as the Distribution.
- Detrend
- When enabled, detrended plots display on the chart.
- 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.