Create scatter plot with histograms (2024)

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

Load the patients data set and create a table from a subset of the variables loaded into the workspace. Then, create a scatter histogram chart comparing the Height values to the Weight values.

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

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

Load the patients data set and create a scatter histogram chart from the data. Compare the patients' Systolic and Diastolic values. Group the data according to the patients' smoker status by setting the 'GroupVariable' name-value pair argument to 'Smoker'.

load patientstbl = 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 the patients data set, and convert the Smoker data to a categorical array. Then, create a scatter histogram chart that compares patients' Age values to their smoker status. The resulting scatter plot contains overlapping data points. However, the y-axis marginal histogram indicates that there are far more nonsmokers than smokers in the data set.

load patientsSmoker = 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 the x-axis and y-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 the ScatterHistogramChart object.

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 the patients data set and create a scatter histogram chart from the data. Compare the patients' Diastolic and Systolic values, and group the data according to the patients' SelfAssessedHealthStatus values. Adjust the histograms by specifying the NumBins and LineWidth options. Place the scatter plot in the 'NorthEast' location of the figure by using the ScatterPlotLocation option. Ensure the legend is visible by specifying the LegendVisible option as 'on'.

load patientstbl = 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 the patients data set. Combine the Smoker and Gender data to create a new variable. Create a scatter histogram chart that compares the Diastolic and Systolic values of the patients. Use the new variable SmokerGender to group the data in the scatter histogram chart.

load patients[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 marginal kernel density histograms.

Load the patients data set. Create a table from the Diastolic, Systolic, and Smoker variables.

load patients.mattbl = table(Diastolic,Systolic,Smoker);

Create a scatter histogram chart that compares the Diastolic and Systolic pressure values of the patients. Use patient smoking status to group the data and display marginal kernel density plots. The plot shows that smokers have higher average systolic and diastolic blood pressure compared to nonsmokers.

s = scatterhistogram(tbl,"Diastolic","Systolic", ... GroupVariable="Smoker",HistogramDisplayStyle="smooth", ... LineStyle="-");

s — Scatter plot with histograms
ScatterHistogramChart object