Saying “disaggregated data” can be a bit of a tongue twister.
But lately, it’s a term that seems to be at the tip of everyone’s tongue — or anyone that understands what it means, anyway.
Earlier this year, the federal government of Canada too jumped on the disaggregated data bandwagon, announcing that it would give a whopping $172 million over a period of five years to Statistics Canada to improve its collection and analysis of such data sets.
So if you’re wondering, “What exactly is disaggregated data and why is the government willing to spend so much money on it in the midst of a global pandemic?”— we’ll break it down for you.
Critical information about peoples’ experiences and the issues they are impacted by is conveyed through two types of data today: aggregated and disaggregated
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