MATLAB POLYSPACE RELEASE NOTES User Manual Page 172

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5 Data Analysis
Introduction
Every data analysis has some standard components:
• Preprocessing — Consider outliers and m issing values, and smooth data
to identify possible models.
• Summ ari zing — Compute ba sic sta tistics to describe the overall location,
scale, and shape of the data.
• Visualizing — Plot data to identify patterns and trends.
• Modeling — Give data trends fuller descriptions, suitable for predicting
new values.
Data analysis moves among these components with two basic goals in mind:
1 Describe the patterns in the data with simple mode ls that lead to accurate
predictions.
2 Understand the relationships among variables that lead to the model.
This section of the Getting Started guide explains how to use MATLAB to
carry out a basic data analysis.
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