Data Wrangling

Method

A production method for cleaning, organizing, transforming, and preparing data so it can be used in an immersive project.

Description

Data wrangling turns raw or inconsistent data into a usable form. In immersive work, this may involve archive records, spatial data, sensor streams, environmental data, participant input, metadata, or content inventories.

Typical Use

Used in data-driven installations, archive projects, documentary works, scientific or environmental visualization, generative systems, participatory projects, production databases, and content migration.

Scope Note

This method can include cleaning records, reconciling names, normalizing formats, removing duplicates, mapping fields, documenting assumptions, converting file types, checking missing values, and preparing imports or exports.

Boundary Note

Data wrangling prepares data for use. Separate research, design, or analysis work is still needed to decide what the data means and how it should be presented.

Collaboration Note

Usually involves data wranglers, researchers, producers, designers, developers, archivists, subject experts, and anyone responsible for source material or database structure.

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