<\/span><\/h2>\nAs part of my work with Datorama, ensure that each campaign ID is directly associated with a corresponding campaign name, creating a one-to-one relationship where every campaign ID is linked to a unique campaign name.<\/p>\n
Next, focus on categorisation to see whether any attributes belong within it, as they apply directly to my IDs.<\/p>\n
Once combined, found that each category has only one value, which corresponds perfectly with one of my campaign IDs, making for ideal attributes.<\/p>\n
Now, let me introduce Datorama placement IDs and placements: each placement ID is directly aligned with a single placement.<\/p>\n
Furthermore, when analysing placement sizes, this same model holds: every ID corresponds with only one size placement ID.<\/p>\n
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<\/span>Analysing Placement and Datorama Categories<\/strong><\/span><\/h2>\nAt Datorama, I enjoy exploring the relationship between campaigns and placements.<\/p>\n
It’s fascinating how one campaign often corresponds with only one placement; this insight provides clarity into how media buys can be accurately mapped to placements.<\/p>\n
<\/span>Mapping Date and Device Categories in Datorama<\/strong><\/span><\/h2>\nDatorama makes my job of classifying data columns much simpler.<\/p>\n
For instance, date columns can be easily mapped to date variables.
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