senate_seat_forecast

This file contains links to the data behind FiveThirtyEight's 'Senate forecasts'
<a href="https://projects.fivethirtyeight.com/2018-midterm-election-forecast/senate/">https://projects.fivethirtyeight.com/2018-midterm-election-forecast/senate/</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

senate_seat_forecast function

A dataframe with 28353 rows representing seat-level results of the classic, lite, and deluxe Senate forecasts since Aug. 1, 2018 and 12 variables<dl class="dl-horizontal">
<dt>forecastdate</dt><dd>date of the forecast</dd>
<dt>state</dt><dd>state of the forecast</dd>
<dt>class</dt><dd>class of the forecast</dd>
<dt>special</dt><dd>unknown</dd>
<dt>candidate</dt><dd>name of the candidate</dd>
<dt>party</dt><dd>party of the candidate</dd>
<dt>incumbent</dt><dd>whether the candidate is incumbent</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>voteshare</dt><dd>the voteshare of the corresponding party</dd>
<dt>p10_voteshare</dt><dd>the top 10 percentile of the voteshare</dd>
<dt>p90_voteshare</dt><dd>the top 00 percentile of the voteshare</dd>
</dl>

Format

This file contains links to the data behind FiveThirtyEight's 'Senate forecasts'
<a href='https://projects.fivethirtyeight.com/2018-midterm-election-forecast/senate/'>https://projects.fivethirtyeight.com/2018-midterm-election-forecast/senate/</a>

Senate Forecast 2018 — senate_seat_forecast

A dataframe with 28353 rows representing seat-level results of the classic, lite, and deluxe Senate forecasts since Aug. 1, 2018 and 12 variables<dl class='dl-horizontal'>
<dt>forecastdate</dt><dd>date of the forecast</dd>
<dt>state</dt><dd>state of the forecast</dd>
<dt>class</dt><dd>class of the forecast</dd>
<dt>special</dt><dd>unknown</dd>
<dt>candidate</dt><dd>name of the candidate</dd>
<dt>party</dt><dd>party of the candidate</dd>
<dt>incumbent</dt><dd>whether the candidate is incumbent</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>voteshare</dt><dd>the voteshare of the corresponding party</dd>
<dt>p10_voteshare</dt><dd>the top 10 percentile of the voteshare</dd>
<dt>p90_voteshare</dt><dd>the top 00 percentile of the voteshare</dd>
</dl>

Senate Forecast 2018

senate_seat_forecast: Senate Forecast 2018

Description

Usage

Arguments

Format

See Also