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richardgourley committed Nov 15, 2023
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Expand Up @@ -37,7 +37,6 @@ Structuring your data is a type of transformation that involves reformatting and

- Is your data in the format you need to perform analysis on it? Does your data need to be potentially unnested? *Should you nest or objectize columns together?*
- Do the column names and values look correct for your use case?
Do the column names and values look correct for your use case?

If your data is not in a format that is usable, you can look into different solutions such as pivoting or using different functions to unpack lists and JSON files so that they are in a tabular format. Pivoting is helpful because it allows you to change the way your dataset is structured by rearranging the way columns, rows, and their values are displayed. dbt has a [pre-built macro](https://github.com/dbt-labs/dbt-utils/blob/main/macros/sql/pivot.sql) that makes pivoting less of a headache and more of a breeze.

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