Each row of the table will become a single dot in the plot with position according to the column values. In order to create a scatter plot, we need to select two columns from a data table, one for each dimension of the plot. This can be useful if we want to segment the data into different parts, like in the development of user personas. Scatter plots can also show if there are any unexpected gaps in the data and if there are any outlier points. We can divide data points into groups based on how closely sets of points cluster together. Relationships between variables can be described in many ways: positive or negative, strong or weak, linear or nonlinear.Ī scatter plot can also be useful for identifying other patterns in data. You will often see the variable on the horizontal axis denoted an independent variable, and the variable on the vertical axis the dependent variable. In these cases, we want to know, if we were given a particular horizontal value, what a good prediction would be for the vertical value. Identification of correlational relationships are common with scatter plots. The dots in a scatter plot not only report the values of individual data points, but also patterns when the data are taken as a whole. Scatter plots’ primary uses are to observe and show relationships between two numeric variables. This tree appears fairly short for its girth, which might warrant further investigation. We can also observe an outlier point, a tree that has a much larger diameter than the others. From the plot, we can see a generally tight positive correlation between a tree’s diameter and its height. Each dot represents a single tree each point’s horizontal position indicates that tree’s diameter (in centimeters) and the vertical position indicates that tree’s height (in meters). The example scatter plot above shows the diameters and heights for a sample of fictional trees. Scatter plots are used to observe relationships between variables. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. Now we can use the dot program (part of graphviz) to create a png image: dot -Tpng target/ -o target/ scatter plot (aka scatter chart, scatter graph) uses dots to represent values for two different numeric variables. So we first have to use sed to escape these characters: sed -i 's//\>/g' target/ There is one caveat: urm-maven-plugin does not escape characters, which will cause errors ( Error: bad label format) when we try to convert to a png image. To create an image from this description, we need graphviz installed: sudo apt install graphviz clean It produces a graph description in one of three possible formats: graphviz (like in our example), plantuml or mermaid. Urm-maven-plugin does not produce an image. The UML graph will be saved in target/$.urm.dot graphviz Now you can run the plugin using maven, for example: mvn clean package
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