Create a scatter plot with marginal histograms from a table of data for medical patients.

Load thepatientsdata set and create a table from a subset of the variables loaded into the workspace. Then, create a scatter histogram chart comparing the Heightvalues to the Weightvalues.

loadpatientstbl = table(LastName,Age,Gender,Height,Weight); s = scatterhistogram(tbl,'Height','Weight');

Using thepatientsdata set, create a scatter plot with marginal histograms and specify the table variable to use for grouping the data.

Load thepatients数据集和创建一个散射直方图图the data. Compare the patients'SystolicandDiastolicvalues. Group the data according to the patients' smoker status by setting the'GroupVariable'name-value pair argument to'Smoker'.

loadpatientstbl = table(LastName,Diastolic,Systolic,Smoker); s = scatterhistogram(tbl,'Diastolic','Systolic','GroupVariable','Smoker');

Use a scatter plot with marginal histograms to visualize categorical and numeric medical data.

Load thepatientsdata set, and convert theSmokerdata to a categorical array. Then, create a scatter histogram chart that compares patients'Agevalues to their smoker status. The resulting scatter plot contains overlapping data points. However, they-axis marginal histogram indicates that there are far more nonsmokers than smokers in the data set.

loadpatientsSmoker = categorical(Smoker); s = scatterhistogram(Age,Smoker); xlabel('Age') ylabel('Smoker')

Create a scatter plot with marginal histograms using arrays of shoe data. Group the data according to shoe color, and customize properties of the scatter histogram chart.

Create arrays of data. Then, create a scatter histogram chart to visualize the data. Use custom labels along thex-axis andy-axis to specify the variable names of the first two input arguments. You can specify the title, axis labels, and legend title by setting properties of theScatterHistogramChartobject.

xvalues = [7 6 5 6.5 9 7.5 8.5 7.5 10 8]; yvalues = categorical({'onsale','regular','onsale','onsale',...'regular','regular','onsale','onsale','regular','regular'}); grpvalues = {'Red','Black','Blue','Red','Black','Blue','Red',...'Red','Blue','Black'}; s = scatterhistogram(xvalues,yvalues,'GroupData',grpvalues); s.Title ='Shoe Sales'; s.XLabel ='Shoe Size'; s.YLabel ='Price'; s.LegendTitle ='Shoe Color';

Change the colors in the scatter histogram chart to match the group labels. Change the histogram bin widths to be the same for all groups.

s.Color = {'Red','Black','Blue'}; s.BinWidths = 1;

Create a scatter plot with marginal histograms. Specify the number of bins and line widths of the histograms, the location of the scatter plot, and the legend visibility.

Load thepatients数据集和创建一个散射直方图图the data. Compare the patients'DiastolicandSystolicvalues, and group the data according to the patients'SelfAssessedHealthStatusvalues. Adjust the histograms by specifying theNumBinsandLineWidthoptions. Place the scatter plot in the'NorthEast'location of the figure by using theScatterPlotLocationoption. Ensure the legend is visible by specifying theLegendVisibleoption as'on'.

loadpatientstbl = table(LastName,Diastolic,Systolic,SelfAssessedHealthStatus); s = scatterhistogram(tbl,'Diastolic','Systolic','GroupVariable','SelfAssessedHealthStatus',...'NumBins',4,'LineWidth',1.5,'ScatterPlotLocation','NorthEast','LegendVisible','on');

Create a scatter plot with marginal histograms. Group the data by using a combination of two different variables.

Load thepatientsdata set. Combine theSmokerandGenderdata to create a new variable. Create a scatter histogram chart that compares theDiastolicandSystolicvalues of the patients. Use the new variableSmokerGenderto group the data in the scatter histogram chart.

loadpatients[idx,genderStatus,smokerStatus] = findgroups(string(Gender),string(Smoker)); SmokerGender = strcat(genderStatus(idx),"-",smokerStatus(idx)); s = scatterhistogram(Diastolic,Systolic,'GroupData',SmokerGender,'LegendVisible','on'); xlabel('Diastolic') ylabel('Systolic')

Create a scatter plot with kernel density marginal histograms. This example requires a Statistics and Machine Learning Toolbox™ license.

loadcarsmalltbl = table(Horsepower,MPG,Cylinders); s = scatterhistogram(tbl,'Horsepower','MPG',...'GroupVariable','Cylinders','HistogramDisplayStyle','smooth',...'LineStyle',“- - -”);