forecast_results_2018

The raw data behind the story
'How FiveThirtyEight's 2018 Midterm Forecasts Did'
<a href="https://fivethirtyeight.com/features/how-fivethirtyeights-2018-midterm-forecasts-did/">https://fivethirtyeight.com/features/how-fivethirtyeights-2018-midterm-forecasts-did/</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

forecast_results_2018 function

A dataframe with 1518 rows representing forecast results (as of December 3, 2018) and 11 variables:<dl class="dl-horizontal">
 <dt>cycle</dt><dd>cycle of the election</dd>
 <dt>branch</dt><dd>branch of the election</dd>
 <dt>race</dt><dd>election forecast for the gubernatorial race</dd>
 <dt>forecastdate</dt><dd>the date of the forecast</dd>
 <dt>version</dt><dd>version of the election forecast</dd>
 <dt>dem_win_prob</dt><dd>the probability of winning for the Democrat</dd>
 <dt>rep_win_prob</dt><dd>the probability of winning for the Republican</dd>
 <dt>category</dt><dd>the predicted political affiliation of the forecast</dd>
 <dt>democrat_won</dt><dd>whether the Democrat won</dd>
 <dt>republican_won</dt><dd>whether the Republican won</dd>
 <dt>uncalled</dt><dd>if a race was uncalled</dd>
 </dl>

Format

The raw data behind the story
'How FiveThirtyEight's 2018 Midterm Forecasts Did'
<a href='https://fivethirtyeight.com/features/how-fivethirtyeights-2018-midterm-forecasts-did/'>https://fivethirtyeight.com/features/how-fivethirtyeights-2018-midterm-forecasts-did/</a>

How FiveThirtyEight's 2018 Midterm Forecasts Did — forecast_results_2018

A dataframe with 1518 rows representing forecast results (as of December 3, 2018) and 11 variables:<dl class='dl-horizontal'>
 <dt>cycle</dt><dd>cycle of the election</dd>
 <dt>branch</dt><dd>branch of the election</dd>
 <dt>race</dt><dd>election forecast for the gubernatorial race</dd>
 <dt>forecastdate</dt><dd>the date of the forecast</dd>
 <dt>version</dt><dd>version of the election forecast</dd>
 <dt>dem_win_prob</dt><dd>the probability of winning for the Democrat</dd>
 <dt>rep_win_prob</dt><dd>the probability of winning for the Republican</dd>
 <dt>category</dt><dd>the predicted political affiliation of the forecast</dd>
 <dt>democrat_won</dt><dd>whether the Democrat won</dd>
 <dt>republican_won</dt><dd>whether the Republican won</dd>
 <dt>uncalled</dt><dd>if a race was uncalled</dd>
 </dl>

How FiveThirtyEight's 2018 Midterm Forecasts Did

forecast_results_2018: How FiveThirtyEight's 2018 Midterm Forecasts Did

Description

Usage

Arguments

Format