11-14-2016 20:32 PM - last edited 01-09-2017 11:15 AM
If the embedded report is not showing above, try this link: https://app.powerbi.com/view?r=eyJrIjoiZmMyOTljZTYtMjIxOS00YjgxLWI2NzEtZjFkMDEzZWM4ZDYyIiwidCI6IjRhM...
Perhaps inevitable, there's just too much interesting data out there around the U.S. 2016 Presidential Election. One of the key narratives coming out of this year's U.S. Presidential Election is that "the polls were wrong". As with any generally accepted narrative, let's see what the data says. Were all of the polls wrong? A majority wrong? How wrong were the polls? Were different types of polls more accurate than others? Fear not, this data story answers those questions and many more! Find out the poll "winners" and "losers". Filter slice and dice by state or general election polls or by individual polling organizations. Find out if all polls are created equal. Four years from now, you'll know which polls to trust and which polls you should ignore, thanks the power of Power BI!
The key metric used in the report is "Error". Error is simply the absolute value of the difference between what the poll predicted (predicted margin) and what actually happened (margin). For example, if the poll predicted Clinton as the winner by 3 percentage points and Trump won by 1.5 percentage points, then the Error would be 4.5 percentage points (denoted 4.5 %). Please note, % is used as shorthand for percentage points in this report.
Key insights include:
Page 1: Overview provides a quick snapshot of the polls, including the poll "winner" and "loser" using the new Top N filter. The user can look at all polls, just general election polls individual state polls.
Page 2: Users can drill into state or general election polls as well as each individual polling agency.
Take a look and enjoy!