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Use null hypotheses - easier to demonstrate against. Descriptive statistics (use the analysis toolpak). Also - who doesn't love a good pivottable and pivotchart to visualize those hypotheses? Use IFERROR to eliminate div/0 errors.
Spend a lot of time developing actionable hypotheses that can be tested by the dataset presented. Working against hypotheses will keep you focused.
Even better if you can turn the dataset into a workable model to run sensitivity analyses that would update dynamic graphs.
Also maybe do some prework on issues the company or their industry is facing. Pulling in external perspective would be flashy.
..... 45 mins ;)
Incidentally - conditional formatting... an underrated function that can really make bland data visually appealing
Be hypothesis driven and use data to support it
45 minutes.
Thank you guys I really appreciate it!
Second conditional formatting