data-cleaning

Vocabulary Word

Definition

'Data-cleaning' is the process of going through data and getting rid of mistakes, duplicates, or things that don't belong. It's a lot like editing an essay, you're looking to get the best possible finished product.

Examples in Different Contexts

In database management, 'data cleaning' involves identifying and correcting inaccuracies in a database to improve data quality and utility. A database administrator might state, 'Regular data cleaning is essential for maintaining the integrity and performance of our databases.'

Practice Scenarios

Academics

Scenario:

Our field research yielded a large data pool. We need to meticulously sift through it before we begin the interpretation stage.

Response:

Indeed. Let's devote the next week to data cleaning before we dive into the data interpretation phase.

Tech

Scenario:

Before implementing the machine learning model, we should make sure the data is well-prepared to get an accurate result.

Response:

Agreed. Undertaking comprehensive data cleaning will optimize our algorithm's predictive accuracy.