Скачать или смотреть Qualitative vs Quantitative Data

Unlock the power of your data by finally understanding the difference between describing and measuring it.
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In this video, we break down the two core types of data you’ll use in every analysis: qualitative and quantitative. Using simple, real-world examples, we walk through nominal vs. ordinal attributes, then interval vs. ratio attributes, and show how each one follows different “rules of the game” like distinctiveness, order, additiveness, and multiplicativeness. You’ll see why you can’t add colors together, when you can safely subtract and compare numbers, and why a true zero completely changes what kind of math is allowed.
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Then we connect it all to business intelligence: how qualitative data becomes dimensions (the who, what, when, and where) and how quantitative data becomes facts (the how much and how many) that drive dashboards and reports. By the end, you’ll see that one type of data isn’t better than the other—they’re two sides of the same coin, and you absolutely need both to tell a complete data story.
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Timestamps:
0:00 – Qualitative vs quantitative overview
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1:00 – What is an attribute?
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2:00 – Qualitative data: nominal and ordinal
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4:00 – Quantitative data: interval and ratio
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7:00 – The four rules: distinctiveness, order, additiveness, multiplicativeness
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10:00 – Dimensions and facts in business intelligence
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12:00 – Why both data types matter for data storytelling
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Perfect for:

Students learning data basics

Aspiring data analysts and BI developers

Anyone confused by nominal/ordinal/interval/ratio data

If this helped clarify things, hit like, subscribe, and drop a comment telling us what data story you’re working on next.
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