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Just looking at a data array, it can be difficult to understand where each data point stands compared to the rest of the set. In these lessons, we’ll cover two tools that let you sort and assign rank percentiles to your data to show its relative significance. You’ll also see how ranking data into sorts with single or multiple criteria can show you the placement of data within a set.
We’ll show you how to help your audience properly understanding your analytics by converting long lists of items into easy-to-understand visuals. We’ll also discuss which types of visual representations make sense for an audience, and how to define your results clearly so the visuals are a help, rather than a hindrance.
It covers tools that let you sort and assign rank percentiles to your data, ranking data with single or multiple criteria, and converting long lists of items into easy-to-understand visuals. Lessons include the Rank Function, Rank Charts, and Percentiles.
You will learn to identify data within rankings, define ranking and sorting, and recognize how to assign percentiles and rankings, so you can show the relative significance and placement of data within a set.
It builds skills in Microsoft Excel, spreadsheets, data classification, data comparison, data presentation, and data visualization.
It shows how to convert long lists of items into easy-to-understand visuals, discusses which types of visual representations make sense for an audience, and explains how to define your results clearly so the visuals help rather than hinder.