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Data wrangling and structured data What might have been a 5-minute design decision resulted in a 500-minute data-wrangling session to address a problem. And the
Data wrangling and structured data
What might have been a 5-minute design decision resulted in a 500-minute data-wrangling session to address a problem. And the whole time I was thinking about how a single change in the UX Design that could have made this process a lot easier. So if you wangt to understand how to make the Data Scientists on your team much happier, understand the effect that your design decisions can have on creating structured data.
Data wrangling and structured data
So to begin with, what is structured data?
It is data that has been structured in a certain way to allow data scientists to ask questions of it and have it return answers.
As UX Researchers and Designers, we are often the ones who design questions, forms, or other fields that generate the data that Data Scientists work with.
This means the design decisions we make often impact how structured the data is by default. For example, if we designed a field for State just large enough for abbreviation, we'd get mostly structured data.
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