Creating Tableau Scatter Plot: Customizing Your Scatter Plot.Creating Tableau Scatter Plot: Select Two Dimension Fields.Creating Tableau Scatter Plot: Dragging the Measure to the Rows Section.Creating Tableau Scatter Plot: Selecting a Measure.Simplify Tableau’s ETL & Data Analysis with Hevo’s No-code Data Pipeline.Base font size (points): Select the size of the font in the graph.Higher resolution creates a larger file with better print quality.Lower resolution creates a smaller file and is best for viewing on a monitor.Graph resolution: Select the resolution of the graph in dots per inch: 1x (96 dpi), 2x (192 dpi), or 3x (288 dpi).Plot size: Select inches or centimeters and specify the width and height for the size of the graph.Use the Graphics Options tab to set the controls for the graphical output. Main title text size scale: Controls the size of the main title text, with larger values resulting in larger text.Axis labels text size scale: Controls the size of the axis label along each axis, with larger values resulting in larger text.Axis text size scale: Controls the size of the numbers and tick marks along each axis, with larger values resulting in larger text.Point size scale: Controls the size of the points within the display, with larger values resulting in a larger point size.By default, the name of the Y field name is used. Y axis label (optional): An optional label for the Y (vertical) axis.By default, the name of the X field name is used.
X axis label (optional): An optional label for the X (horizontal) axis.Use the Style options tab to set the graph controls, like labels and scale. If this option is selected, you are asked to give the categorical field to be used in creating groups, (optionally) whether they would like regression and loess curves plotted for each group, and the location of the legend that identifies the different groups. Groups are plotted with different colors and plotting characters. Plot by groups: This option allows for an examination of the effect of a categorical field on the relationship between the X and Y fields, with each value of the categorical resulting in a group of X and Y values.Doing this is often useful for exploring certain types of non-linear relationships. Log Y axis: If selected, a natural log transformation is applied to the Y values.Log X axis: If selected, a natural log transformation is applied to the X values.It only influences the appearance points on the graphs, not the fitted regression and loess lines. This is useful if a larger number of records in the Y field take on one or a small number of values. Jitter Y: When selected, the Y values are randomly perturbed by a small amount.This is useful if a larger number of records in the X field take on one or a small number of values. Jitter X: When selected, the X values are randomly perturbed by a small amount.This is useful in assessing the distribution of values for both fields, and they are included by default. Marginal boxplots: Includes univariate boxplots of the X and Y field along each respective access.Show spread: Two curves showing the results of loess models to both the root-mean-square positive and negative residuals from the original loess line to display conditional spread and asymmetry in the errors.The smaller the number, the smaller the area used. Span for smooth: A parameter that controls the size of the local area used to construct the loess estimates.Smooth line: Displays a non-linear line between the X and Y fields that is created using a loess (non-parametric local regression) model.Least-squares (regression) line: Displays a simple linear regression line between the X and Y fields.Use the Plot elements tab to set the rules for how data is plotted. When checked, you are asked to indicate the field value that will correspond to a value of one (the "target"), with entries with the other field value taking the value zero. The Y field is a binary categorical variable: A check-box to indicate that the Y field is a binary categorical variable.
If a categorical variable with more than two values is selected, the node returns an error. If a binary categorical field is selected, a new field (with the suffix ".num" appended to the original field name) is created that has numeric values of either zero or one. Either a numerical field or a binary categorical field can be used.
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