From the course: Cleaning Data for Effective Data Science: Data Ingestion, Anomaly Detection, Value Imputation, and Feature Engineering

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Introduction

Introduction

From the course: Cleaning Data for Effective Data Science: Data Ingestion, Anomaly Detection, Value Imputation, and Feature Engineering

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Introduction

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Let's look briefly at some nomenclature and concepts relevant to data cleaning. We often wish to distinguish among structural and content-related data issues, as shown with examples in the introduction. Let's take a look at that.

Contents