Scatter / Line Plot

Create a scatterplot or line plot.


Click for tutorial: Chart Viewing and Exporting

Instructions

Follow these steps:

  1. On the ribbon, go to the Data tab, then click Open Data Source, then select the block model or database you want to analyse to load it into the Explorer Visibility column.

  2. Select the variable you want to use from the Data Explorer column.

    Note:  Select two datasets from the Data Explorer. The datasets do not have to be from the same data source. However, they must contain the same number of data entries.

  3. On the ribbon, go to the Stats tab, then click Scatter / Line. After the chart has been created, the Properties column will display the options available to customise your chart.

    To refresh the chart, click the icon in the upper right corner.

    Tip:  To add additional data to the chart, you can drag and drop one or more variables from the Data Explorer column. The chart will be updated automatically.

  4. The Properties column lets you edit the title, colours, and type of information that is displayed.

    Customising the Properties

    Refresh Chart

    To refresh the chart, click the icon in the upper right corner.

    Data

    Data Set

    Displays the datasets that are currently active and can be edited by adjustments made in the Properties pane.

    Tip:  More than one pair of datasets can be displayed on the same chart. Begin by highlighting all the pairs you want to display in the Data Explorer. Then on the Stats tab, the Settings group, select the icon labelled All variables on the same chart. When you click the button to generate the chart, all of the results will be shown on the same chart.

    Line Type

    Select between a scatter (points) or a line plot.

    Colour

    Use the colour chart to select the colour of the data points on the chart. Multiple groups of datasets will automatically be assigned different colours.

    Marker

    Select from various shapes to customise the data points.

    Swap X and Y

    Click this button to reverse the X and Y axes.

    Trend Line

    Select a trend line to be superimposed onto the chart. When a trend line is selected, the equation for the line will be displayed in the box below the Trend Colour selector.

    Trend Colour

    Select a colour for the trend line.

    Point Limit

    Use the slider to limit the number of data points that are displayed on the chart. This setting is not used in the calculation of the trend line, but only affects the display.

    Show ideal correlation

    Select this option to display the ideal correlation line (45°).

    Axes

    Gridlines

    Select this option to display the major gridlines on the graph.

    Auto fit

    Select this option for the axes to be automatically set up based on the values found in the data.

    Minimum / Maximum

    Deselect Auto fit, then enter the minimum and maximum axes values.

    Auto Interval

    With this option checked, the interval will be automatically determined.  Unchecked this option to enter a new interval.

    Title

    Enter a title for the axis.

    Scale

    Select the type of scale in which you want to view the data.

    Simulation validation

    Cutoff

    Indicates a cutoff value for the estimation, generating 4 subareas for the scatter, the percentage of each area is displayed in the bivariate statistics.

    • Correct Positive: Both the real and estimated values are above the cutoff.

    • Correct Negative: Both the real and estimated values are below the cutoff.

    • False Positive: Only the estimated value is above the cutoff.

    • False Negative: Only the real value is above the cutoff.

    Highlight outliers

    Enter the number of outliers to be displayed.

    Accuracy Tolerance (%)

    Enter the tolerance to be used for the accuracy percentage.

    Annotations and legend

    X & Y statistics

    Click this option to display a list of statistics for each axis, such as the example below.

    Bivariate statistics

    Click this option to show a list of bivariate statistics, such as the example below.

    Pearson's correlation

    Indicates the linear correlation between two variables.

    Covariance

    A measure of how much two variables vary together.

    Mean square error

    Indicates the error between the original and estimated data.

    R-Squared

    Indicates how close the data are to the fitted regression line.

    Slope of regression

    Indicates the slope of the lineal regression equation.

    Accuracy Percentage

    Indicates how many points have similar real and estimated value (with a default tolerance of 1%.

    Decimals

    Enter the number of decimals you wish to use in the statistical displays.

    Size

    Enter the font size that is to be used in the statistical displays. The default is 10.5.

    Show Legend

    Toggle on and off the legend display.

    Horizontal / Vertical Alignment

    Click and drag the legend with your mouse, or use the Horizontal and Vertical Alignment adjustments to customise the look of the chart.