Find definitions and interpretation for every graph that is provided for simple correspondence analysis.

The row plot shows the principal coordinates for the row categories. Minitab plots row points with red circles--solid circles for regular points, and open circles for supplementary points.
###### Note

By default, Minitab displays the points for the first two principal components, which account for the greatest amount of total inertia. To display other principal components (axes) on the plot, click Graphs and enter the component numbers when you perform the analysis.

Use the row plot to look for relationships among row categories and to help interpret the principal components in relation to the row categories. Points that are farther away from the origin indicate categories that are more influential. Points on opposite sides of the plot indicate that a component contrasts these categories

The column plot shows the principal coordinates for the column categories. Minitab plots column points with blue squares--solid squares for regular points, and open squares for supplementary points.
###### Note

By default, Minitab displays the points for the first two principal components, which account for the greatest amount of total inertia. To display other principal components (axes) on the plot, click Graphs and enter the component numbers when you perform the analysis.

Use the column plot to look for relationships among column categories and to help interpret the principal components in relation to the column categories. Points that are farther away from the origin indicate categories that are more influential. Points on opposite sides of the plot indicate that a component contrasts these categories.

The symmetric plot is a plot of row and column principal coordinates in a joint display. The row-to-row and column-to-column distances are approximate chi-squared distances between the respective profiles. Minitab plots row points with red circles--solid circles for regular points, and open circles for supplementary points. Minitab plots column points with blue squares--solid squares for regular points, and open squares for supplementary points.
###### Note

By default, Minitab displays the points for the first two principal components, which account for the greatest amount of total inertia. To display other principal components (axes) on the plot, click Graphs and enter the component numbers when you perform the analysis.

Use the symmetric plot to look for relationships among row categories and among column categories. You can also interpret the principal components in relation to the row categories or the column categories. Points that are farther away from the origin indicate categories that are more influential. Points on opposite sides of the plot indicate that a component contrasts these categories. In a symmetric plot, the profiles are spread out to more easily view the distances between them.
###### Important

The row-to-column distances in the symmetric plot use two different mappings. Because the row-to-column distances are not standardized, the distances between row categories and column categories cannot be interpreted easily. To interpret distances between row categories and column categories, use an asymmetric plot.

The asymmetric row plot displays row principal coordinates and column standardized coordinates in the same plot. Distances between row points are approximate chi-square distances between the row profiles. Minitab plots row points with red circles--solid circles for regular points, and open circles for supplementary points. Minitab plots column points with blue squares--solid squares for regular points, and open squares for supplementary points.
###### Note

By default, Minitab displays the points for the first two principal components, which account for the greatest amount of total inertia. To display other principal components (axes) on the plot, click Graphs and enter the component numbers when you perform the analysis.

Use the asymmetric row plot to look for relationships among the row and column categories and to help interpret the principal components. Points that are farther away from the origin indicate categories that are more influential. Points on opposite sides of the plot indicate that a component contrasts these categories. The closer a point for a row category is to a point for a column category, the higher the value of the row profile for the column category.

Asymmetric plots allow you to intuitively interpret the distances between row points and column points, especially if the two components represent a large proportion of the total inertia. However, the points on an asymmetric plot might appear too close to each other in the center of the graph, which can make the results difficult to view. In that case, you may want to also display a symmetric plot to more clearly view the relationships among either the row or column categories.

The asymmetric column plot displays column principal coordinates and row standardized coordinates in the same plot. Distances between column points are approximate chi-square distances between the column profiles. Minitab plots row points with red circles--solid circles for regular points, and open circles for supplementary points. Minitab plots column points with blue squares--solid squares for regular points, and open squares for supplementary points.
###### Note

By default, Minitab displays the points for the first two principal components, which account for the greatest amount of total inertia. To display other principal components (axes) on the plot, click Graphs and enter the component numbers when you perform the analysis.

Use the asymmetric column plot to look for relationships among the row and column categories and to help interpret the principal components. Points that are farther away from the origin indicate categories that are more influential. Points on opposite sides of the plot indicate that a component contrasts these categories. The closer a point for a column category is to a point for a row category, the higher the value of the column profile for the row category.

Asymmetric plots allow you to intuitively interpret the distances between row points and column points, especially if the two components represent a large proportion of the total inertia. However, the points on an asymmetric plot might appear too close to each other in the center of the graph, which can make the results difficult to view. In that case, you may want to also display a symmetric plot to more clearly view the relationships among either the row or column categories.