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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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MATLAB POLYSPACE RELEASE NOTES Manuale Utente Pagina 172