The RapidMiner Plotters 1: Scatter
Overview "Scatter"Summary: Showing dependencies between two (three) dimensionsNumber of Dimensions: 2 plus 1 encoded by colorData Types: Numerical, Nominal, DatesThe plotting facility of RapidMiner is...
View ArticleThe Future of Statistics: Moving Pictures
We at Rapid-I definitely believe that appropriate visualizations of data are often much more important than the best models describing those data. For exactly that reason we implemented about 30...
View ArticleThe RapidMiner Plotters 2: Scatter Multiple
Overview "Scatter Multiple" Summary: Showing dependencies between a set of dimensions against a single one Number of Dimensions: Unlimited, useful for up to about 30 simultaneouslyData Types:...
View ArticleThe RapidMiner Plotters 3: Scatter Matrix
Overview "Scatter Matrix" Summary: Showing dependencies between all pairs of dimensions Number of Dimensions: Unlimited, 1 encoded by color, useful for up to about 50 Data Types: Numerical, Nominal,...
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The RapidMiner Plotters 4: Scatter 3D
Overview "Scatter 3D"Summary: Showing dependencies between three dimensionsNumber of Dimensions: 3Data Types: Numerical (dates and nominal values will be printed by their internal values)This is the...
View ArticleThe RapidMiner Plotters 5: Scatter 3D Color
Overview "Scatter 3D Color"Summary: Showing dependencies between four dimensionsNumber of Dimensions: 3 plus 1 as color Data Types: Numerical (dates and nominal values will be printed by their internal...
View ArticleThe RapidMiner Plotters 6: Bubble
Overview "Bubble"Summary: Showing dependencies between four dimensions on a 2D planeNumber of Dimensions: 2 plus 1 as size and 1 as color Data Types: Numerical, Nominal, DatesThis is the next post of a...
View ArticleThe RapidMiner Plotters 7: Parallel
Overview "Parallel"Summary: Great for large numbers of dimensions and a small number of examples Number of Dimensions: unlimited plus 1 as color Data Types: Numerical, Nominal, DatesThis is the next...
View ArticleThe RapidMiner Plotters 8: Deviation
Overview "Deviation"Summary: Great for large numbers of dimensions and also high numbers of examples Number of Dimensions: unlimited plus 1 as color Data Types: Numerical, Nominal, DatesThis is the...
View ArticleThe RapidMiner Plotters 9: Series
Overview "Series"Summary: Natural representation for ordered values like for measurements changing over timeNumber of Dimensions: unlimited in theory, but useful up to a couple of dozensData Types:...
View ArticleThe RapidMiner Plotters 10: Series Multiple
Overview "Series Multiple"Summary: Useful plotter for multiple series in different value rangesNumber of Dimensions: unlimited in theory, but useful up to a dozenData Types: Numerical, DatesThis is the...
View ArticleThe RapidMiner Plotters 11: Survey
Overview "Survey"Summary: Compact visualization of high-dimensional data sets; often shows correlations quite wellNumber of Dimensions: unlimited in theory, but useful up several hundred depending on...
View ArticleThe RapidMiner Plotters 12: SOM
Overview "SOM"Summary: Qualitative visualization of high-dimensional data sets on a 2-dimensional "geographical" mapNumber of Dimensions: unlimited in theory, but results tend to get worse for larger...
View ArticleThe RapidMiner Plotters 13: Block
Overview "Block"Summary: Showing dependencies between two three dimensionsNumber of Dimensions: 2 plus 1 encoded by colorData Types: Numerical, Nominal, DatesThis is the next post of a series...
View ArticleThe RapidMiner Plotters 14: Density
Overview "Density"Summary: Showing dependencies between up to four dimensions in a two-dimensional spaceNumber of Dimensions: 2 plus 1 encoded by color plus 1 encoded by point colorData Types:...
View ArticleThe RapidMiner Plotters 15: Pie, Pie 3D, and Ring
Overview "Pie", "Pie 3D", and "Ring"Summary: Perform simple aggregations on your data (like sums, min or max) and show those values with respect to defined groupsNumber of Dimensions: 2, one for the...
View ArticleThe RapidMiner Plotters 16: Bars
Overview "Bars"Summary: Perform simple aggregations on your data (like sums, min or max) and show those values with respect to defined groupsNumber of Dimensions: 2, one for the grouping and one for...
View ArticleNew Plotters for RapidMiner
After quite some time of hard development, the Rapid-I team is proud to announce the birth of its latest baby: a brand new plot component presenting you a shiny, powerful and flexible visualization of...
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