
Preprocessing Data
Preprocessing Data
In this section.. .
“Overview” on page 5-3
“Loading the Data” on page 5-3
“Missing Data” on page 5 -4
“Outliers” on pag e 5-4
“Smoothing and Filtering” on page 5-6
Overview
Begin a data analysis by loading data into suitable MATLAB container
variables and sorting out the “good” data from the “b ad.” This is a preliminary
step that assures meaningful conclusions in subsequent parts of the analysis.
Note This section begins a data analysis that is continued in “Summarizing
Data” on page 5-10, “Visualizing Data” on page 5-14, and “Modeling Data”
on page 5-19.
Loading the Data
Begin by loading the data in count.dat:
load count.dat
The 24-by-3 array count contains hourly traffic counts (the rows) at three
intersections (the columns) for a single day.
See “MATLAB for Data Analysis” and “Importing and Exporting Data” in the
MATLAB Data Analysis documentation for more information on storing data
in MATLAB variables for analysis.
5-3
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