The raw data behind the story 'Forecasting the races for governor' https://projects.fivethirtyeight.com/2018-midterm-election-forecast/governor/

governor_state_forecast

Format

A dataframe with 7743 rows representing state-level results of the classic, lite, and deluxe gubernatorial forecasts since Oct. 11, 2018. and 10 variables

forecastdate

date of the forecast

state

state of the forecast

candidate

name of the candidate

party

party of the candidate

incumbent

whether the candidate is incumbent

model

the model of the forecast

win_probability

the probability of the corresponding party winning

voteshare

the voteshare of the corresponding party

p10_voteshare

the top 10 percentile of the voteshare

p90_voteshare

the top 00 percentile of the voteshare

Source

FiveThirtyEight’s House, Senate And Governor Models Methodology: https://fivethirtyeight.com/methodology/how-fivethirtyeights-house-and-senate-models-work/

Note

The original dataset included two empty column "district" and "special",which were removed.

See also