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They’ll look something like this: Interactive dashboards are easy to create — sort of. You’ll need four pieces: A Clean, Contiguous Dataset (maybe stored as an Excel Table) PivotTablesPivot Charts Slicers Are you already using these four features regularly? Interactive (a.k.a.
Well, sort of—I changed the numbers and state names for this blog post.). We used pivottables to figure out how many sites within each state were at a Level 1, Level 2, Level 3, or Level 4. For example, this pivottable shows that the agency was running the program in eight different sites in Alaska.
Then, I re-sort my dataset so that the bright red numbers appear at the top. Or, you can even use pivottables for data cleaning, like identifying duplicates. That beautiful chart is one of the last steps in the analytical process. For most projects, it goes something like this: Planning. Figure out what data you need.
Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?
By default, Excel will sortcategories alphabetically or chronologically. But we can use the “brackety compass rose” to customize our pivottables… which lets us customize our graphs. How to Sort Your Bar Charts
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