Hi Jenny,
You probably have already created a Random Temperature Data Vectors, but I am showing an example by creating random temperature data vectors. In my provided code snippet, the data vectors are generated using the randn function. You can replace these vectors with your actual temperature data. Then, create a Figure for Boxplots by create a figure to display the boxplots. The figure function is used to create a new figure window. Afterwards, plot Boxplots for Each Vector by iterating over each data vector using a loop and plot the boxplot for each vector in a subplot. Here's the modified code snippet with detailed explanations:
% Generate random temperature data vectors (replace with your actual data)
data = {randn(20,1), randn(30,1), randn(25,1), randn(35,1), randn(15,1),
randn(40,1), randn(22,1), randn(28,1), randn(18,1), randn(32,1)};
% Create a figure for boxplots
figure;
hold on;
% Iterate over each vector and plot its boxplot
for i = 1:numel(data)
subplot(2,5,i); % Adjust subplot layout based on the number of vectors
boxplot(data{i});
title(['Vector ', num2str(i)]);
end
hold off;
Please see attached plot.
Feel free to customize the code further based on your specific data and visualization requirements. Hope, this answers your question.