| governor_national_forecast {fivethirtyeight} | R Documentation |
2018 Governors Forecast
Description
The raw data behind the story 'Forecasting the races for governor' https://projects.fivethirtyeight.com/2018-midterm-election-forecast/governor/
Usage
governor_national_forecast
Format
A dataframe with 150 rows representing national-level results of the classic, lite, and deluxe gubernatorial forecasts since Oct. 11, 2018. and 11 variables
- forecastdate
date of the forecast
- party
the party of the forecast
- model
the model of the forecast
- win_probability
the probability of the corresponding party winning
- mean_seats
the mean of the number of seats
- median_seats
the median number of seats
- p10_seats
the top 10 percentile of number of seats
- p90_seats
the top 90 percentile of number of seats
- margin
unknown
- p10_margin
the margin of p10_seats
- p90_margin
the margin of p90_seats
Note
The original dataset included a meaningless column called "state", and all variables under this column was "US". So this column was removed.
Source
FiveThirtyEight’s House, Senate And Governor Models Methodology: https://fivethirtyeight.com/methodology/how-fivethirtyeights-house-and-senate-models-work/