Pareto Plot

Example 1

Summary: Create a Pareto Plot to analyze cause categories and ship events with test rates across different groups.

Code:

// Open data table
dt = Open("$Sample_Data/Hardware Surface Unit Data.jmp");
// Pareto Plot 3
Pareto Plot(
    Cause( :color ),
    X( :Ship event ),
    Test Rates Across Groups( 1 )
);

Example 2

Summary: Generate a Pareto Plot to identify the primary causes of surface quality issues from the Hardware Surface Unit Data.

Code:

// Open data table
dt = Open("$Sample_Data/Hardware Surface Unit Data.jmp");
// Pareto Plot
Pareto Plot( Cause( :surface quality ) );

Example 3

Summary: Create a Pareto Plot with 'color' as the cause variable using the Pareto Plot function.

Code:

// Open data table
dt = Open("$Sample_Data/Hardware Surface Unit Data.jmp");
// Pareto Plot 2
Pareto Plot( Cause( :color ) );

Example 4

Summary: Generate a Pareto plot to analyze the dependency of surface quality on different parts, excluding the rate plots and closing the plot outline.

Code:

// Open data table
dt = Open("$Sample_Data/Hardware Surface Unit Data.jmp");
// Pareto Plot 4
Pareto Plot(
    Cause( :surface quality ),
    X( :Part ),
    Test Rates Across Groups( 1 ),
    No Plot( 1 ),
    SendToReport(
        Dispatch( {}, "Plots", OutlineBox,
            {Close( 1 )}
        )
    )
);

Example 5

Summary: Create a Pareto Plot to identify the major causes of failure from the provided data table.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failure Raw Data.jmp");
// Pareto Plot
Pareto Plot( Cause( :failure ) );

Example 6

Summary: Create a Pareto Plot for cause analysis using failure data and frequency counts.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failure.jmp");
// Pareto Plot
Pareto Plot(
    Cause( :failure ),
    Freq( :N )
);

Example 7

Summary: Generate a Pareto Plot analysis using specified columns for causes, contributing factors, and frequencies

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failure2.jmp");
// Pareto Plot
Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N )
);

Example 8

Summary: Generate a Pareto Plot to visualize the frequency of failure causes, with X-axis categories including clean and date.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failure3.jmp");
// Pareto Plot
Pareto Plot(
    Cause( :failure ),
    X( :clean, :date ),
    Freq( :N )
);

Example 9

Summary: Generate a Pareto plot displaying the top causes of failures using categorical variables and frequency counts.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failure3ID.jmp");
// Pareto Plot
Pareto Plot(
    Cause( :failure ),
    X( :clean, :date ),
    Freq( :N )
);

Example 10

Summary: Create a Pareto plot to visualize the rate of occurrences for different causes across various processes in the Quality Control data table.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failuressize.jmp");
// Pareto Plot - Rate
Pareto Plot(
    Cause( :Causes ),
    X( :Process ),
    Freq( :Count ),
    Per Unit Rates( 1 ),
    Test Rates Across Groups( 1 ),
    Cause[1] << Colors( "Red" ),
    Cause[2] << Colors( "Purple" ),
    Cause[4] << Colors( "BlueGreen" ),
    Cause[5] << Colors( "Yellow" ),
    Cause[6] << Colors( "Blue" ),
    Cause[7] << Colors( "Orange" )
);

Example 11

Summary: Create a Pareto Plot for analyzing defect causes with per-unit analysis and testing rates across groups.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Failuressize.jmp");
// Pareto Plot - DPU
Pareto Plot(
    Cause( :Causes ),
    Per Unit Analysis(
        Value In Freq Column(
            Cause Code( "size" )
        )
    ),
    X( :Process ),
    Freq( :Count ),
    Per Unit Rates( 1 ),
    Test Rates Across Groups( 1 )
);