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