Introduction :: Data Analysis (MATLAB®)

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Introduction

Every data analysis has some standard components:

Preprocessing — Consider outliers and missing values, and smooth data to identify possible models.
Summarizing — Compute basic statistics 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:

Describe the patterns in the data with simple models that lead to accurate predictions.
Understand the relationships among variables that lead to the model.

This section of the Getting Started guide explains how to carry out a basic data analysis in the MATLAB environment.

Data Analysis

Preprocessing Data

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