A post-election analysis aims to understand the reasons behind the election results, including factors such as candidate strategies, voter demographics, and campaign issues.

Fundraising data is not typically included in a post-election analysis, as it is more relevant to the pre-election campaign period.

Electoral mapping is the process of analyzing the geographic distribution of votes to identify patterns and trends in voter behavior.

Regression analysis is a statistical method used to determine the relationship between a dependent variable (e.g., election outcome) and one or more independent variables (e.g., candidate characteristics, campaign strategies).

Gerrymandering is the process of manipulating electoral boundaries to favor a particular party or group, often resulting in oddly shaped districts.

Experimental analysis is not typically used in post-election analysis, as it involves manipulating variables to observe their effects, which is not feasible in the context of an election.

Redistricting is the process of dividing a state or region into smaller electoral districts, typically based on population changes.

Census data is not typically used in post-election analysis, as it provides general population information rather than election-specific data.

Vote counting is the process of tallying the votes cast in an election to determine the winner.

Experimental analysis is not typically used to analyze voter turnout, as it involves manipulating variables to observe their effects, which is not feasible in the context of an election.

Media coverage analysis is the process of analyzing the media's coverage of an election, including the tone, framing, and emphasis of the reporting.

Experimental analysis is not typically used in post-election analysis, as it involves manipulating variables to observe their effects, which is not feasible in the context of an election.

Electoral mapping is the process of analyzing the geographic distribution of votes to identify patterns and trends in voter behavior.

Regression analysis is a statistical method used to determine the relationship between a dependent variable (e.g., election outcome) and one or more independent variables (e.g., candidate characteristics, campaign strategies).

Gerrymandering is the process of manipulating electoral boundaries to favor a particular party or group, often resulting in oddly shaped districts.