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 data analysis, 'data cleaning' refers to the process of correcting or removing incorrect, corrupted, duplicate, or incomplete data within a dataset. A data analyst might say, 'Data cleaning is a vital first step in our analysis process, ensuring the accuracy and reliability of our findings.'

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.

Business

Scenario:

We've been entrusted with a significant amount of data from different departments. We should tread carefully and ensure we prepare the data properly before analysis.

Response:

I propose we allocate enough resources to data cleaning to ensure our business forecast is as precise as possible.