%
% 1. Introduction
%
%    After you import data into the MATLAB® workspace, it is a good idea to 
%    plot the data so that you can explore its features. An exploratory plot 
%    of your data enables you to identify discontinuities and potential 
%    outliers, as well as the regions of interest.
%
%    The MATLAB figure window displays plots. See Types of MATLAB Plots for 
%    a full description of the figure window. It also discusses the various 
%    interactive tools available for editing and customizing MATLAB graphics.
%
% 2. Load and Plot Data from Text File
%
%    This example uses sample data in count.dat, a space-delimited text file. 
%    The file consists of three sets of hourly traffic counts, recorded at 
%    three different town intersections over a 24-hour period. Each data 
%    column in the file represents data for one intersection.
%
%    2.1 Load the count.dat Data
%
%        Import data into the workspace using the load function.
%

load count.dat

%        Loading this data creates a 24-by-3 matrix called count in the 
%        MATLAB workspace.
%
%       Get the size of the data matrix.

[n,p] = size(count)

%          n     = 24
%          p     = 3
%
%       n represents the number of rows, and p represents the number of columns.
%
%   2.2 Plot the count.dat Data
%
%       Create a time vector, t, containing integers from 1 to n.

t = 1:n;

%
%      Plot the data as a function of time, and annotate the plot.
%

plot(t,count), 
legend('Location 1','Location 2','Location 3','Location','NorthWest')
xlabel('Time'), ylabel('Vehicle Count')
title('Traffic Counts at Three Intersections')
