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Jul
Parallel Coordinate Plot R. Parallel Coordinate Plots are useful to visualize multivariate data. Paralleliris14 Species iris ggplot2 is also your friend here. The same idea as a slope graph but usually with more variables. In short -cs are a multidimensional coordinate system where the axes are parallel to each other allowing for lots of axes to be seen.
Columns number of these variables are specified in the columns argument of the function. For example if you had to compare an array of products with the same attributes comparing computer or cars specs across different models. This type of visualization is used for plotting multivariate numerical dataDownload the w. D. For example the variables contribute to Happyness Index. Wide ggplotaesvarsvars8694 geom_pcp.
Columns number of these variables are specified in the columns argument of the function.
In this post I will compare these approaches using a randomly generated data set with three discrete variables. Parallel coordinates plot is a data visualisation specially designed for visualising and analysing multivariate numerical data. Plain ggplot2 with geom_path. Most basic parallel coordinate plot with GGally The ggparcoord function from GGally packages allows creating parallel coordinate plots based on ggplot2. D. Spotting Differences in the book Visualize This by Nathan Yau.