Data Enrichments are a set of functions that we can apply to our data to upsample it, provide context, remove null values and more. These functions provide an easy way of dealing with otherwise messier data, that can then be fed to models or used in charts for better results. To access enrichments, go to the Wizard -> Other -> Enrichments
Enrichments path
Here, we describe each of the different types of enrichment you can use.

Upsample Survey Data

Adjust the influence of individuals in your survey using a variable with predefined weights to scale your survey data.

Fill Missing Values

Use a function to fill missing values

Predict Missing Values

Train a model to infer missing values

Group Similar Spellings

Group together similarly written words that may be spelled inconsistently

Group Similar Semantics

Group together words with similar meanings

Infer Gender

Use the first names of people to make predictions about their gender

Standardize Locations

Group texts that refer to the same places

Add Demographic Data for Spain using coordinates

Use latitude and longitude variables to enrich your data with the Spanish census information