governor_national_forecast

The raw data behind the story
'Forecasting the races for governor'
<a href="https://projects.fivethirtyeight.com/2018-midterm-election-forecast/governor/">https://projects.fivethirtyeight.com/2018-midterm-election-forecast/governor/</a>

datasets

Datasets and code published by the data journalism website
'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>.
Note that while we received guidance from editors at 'FiveThirtyEight', this
package is not officially published by 'FiveThirtyEight'.

Albert Y Kim

fivethirtyeight

Data and Code Behind the Stories and Interactives at
'FiveThirtyEight'

Albert Y. Kim

Chester Ismay

Jennifer Chunn

Meredith Manley

Maggie Shea

Starry Yujia Zhou

Andrew Flowers

Jonathan Bouchet

G. Elliott Morris

Adam Spannbauer

Pradeep Adhokshaja

Olivia Barrows

Jojo Miller

Jayla Nakayama

Ben Baumer

Rana Gahwagy

Natalia Iannucci

Marium Tapal

Irene Ryan

Alina Barylsky

Danica Miguel

Sunni Raleigh

Anna Ballou

Jane Bang

Jordan Moody

Kara Van Allen

Jessica Keast

Lizette Carpenter

Fatima Keita

governor_national_forecast function

A dataframe with 150 rows representing national-level results of the classic, lite, and deluxe gubernatorial forecasts since Oct. 11, 2018. and 11 variables<dl class="dl-horizontal">
<dt>forecastdate</dt><dd>date of the forecast</dd>
<dt>party</dt><dd>the party of the forecast</dd>
<dt>model</dt><dd>the model of the forecast</dd>
<dt>win_probability</dt><dd>the probability of the corresponding party winning</dd>
<dt>mean_seats</dt><dd>the mean of the number of seats</dd>
<dt>median_seats</dt><dd>the median number of seats</dd>
<dt>p10_seats</dt><dd>the top 10 percentile of number of seats</dd>
<dt>p90_seats</dt><dd>the top 90 percentile of number of seats</dd>
<dt>margin</dt><dd>unknown</dd>
<dt>p10_margin</dt><dd>the margin of p10_seats</dd>
<dt>p90_margin</dt><dd>the margin of p90_seats</dd>
</dl>

Format

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

2018 Governors Forecast — 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<dl class='dl-horizontal'>
<dt>forecastdate</dt><dd>date of the forecast</dd>
<dt>party</dt><dd>the party of the forecast</dd>
<dt>model</dt><dd>the model of the forecast</dd>
<dt>win_probability</dt><dd>the probability of the corresponding party winning</dd>
<dt>mean_seats</dt><dd>the mean of the number of seats</dd>
<dt>median_seats</dt><dd>the median number of seats</dd>
<dt>p10_seats</dt><dd>the top 10 percentile of number of seats</dd>
<dt>p90_seats</dt><dd>the top 90 percentile of number of seats</dd>
<dt>margin</dt><dd>unknown</dd>
<dt>p10_margin</dt><dd>the margin of p10_seats</dd>
<dt>p90_margin</dt><dd>the margin of p90_seats</dd>
</dl>

2018 Governors Forecast

governor_national_forecast: 2018 Governors Forecast

Description

Usage

Arguments

Format

See Also