Missing values

How it is used

You check for, count, drop, fill or impute missing values. Analysts often report the share of missing values per column and explain why data is missing, because the reason affects which method is safe to use.

Example sentences

1. About 8% of the income column has missing values, mostly from the old sign-up form.

2. Before you drop rows with missing values, check whether they all come from one region.

Common collocations

• handle missing values
• fill missing values
• drop missing values
• check for missing values

Related terms

• imputeTo fill in missing values with estimated ones, for example with the column's median, the most common category or a value predicted from other columns.
• data cleaningThe process of finding and fixing problems in data, such as wrong formats, typos, duplicates and missing values, so that it can be trusted for analysis.
• data qualityHow accurate, complete, consistent and up to date data is, and therefore how far it can be trusted when people make decisions.
• datasetA collection of examples, such as images, texts or table rows, gathered and organized for training, testing or analyzing a model.

This word in other fields

The same English word can have a different meaning in another field:

• missing values · Data Science & Analytics

More terms: Machine Learning and Data Processing

• artificial intelligence
• machine learning
• model
• training data
• label
• train
• supervised learning
• neural network
• deep learning
• loss function
• overfitting
• test set