cabinet_turnover

The raw data behind the story 
"Two Years In, Turnover In Trump&lt;U+2019&gt;s Cabinet Is Still Historically High"
<a href="https://fivethirtyeight.com/features/two-years-in-turnover-in-trumps-cabinet-is-still-historically-high/">https://fivethirtyeight.com/features/two-years-in-turnover-in-trumps-cabinet-is-still-historically-high/</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

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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

cabinet_turnover function

A data frame with 312 rows representing cabinet members and 8 variables:<dl class="dl-horizontal">
 <dt>president</dt><dd>Surname of of sitting President</dd>
 <dt>position</dt><dd>Cabinet Position</dd>
 <dt>appointee</dt><dd>Appointee's full name</dd>
 <dt>start</dt><dd>Date the appointee was sworn in</dd>
 <dt>end</dt><dd>Date the appointee left office</dd>
 <dt>length</dt><dd>Length of Tenure, in days</dd>
 <dt>days</dt><dd>Days into administration that the appointee left office</dd>
 <dt>combined</dt><dd>Whether or not Cabinet member served in more than one administrations</dd>
 </dl>

Format

The raw data behind the story 
"Two Years In, Turnover In Trump&lt;U+2019&gt;s Cabinet Is Still Historically High"
<a href='https://fivethirtyeight.com/features/two-years-in-turnover-in-trumps-cabinet-is-still-historically-high/'>https://fivethirtyeight.com/features/two-years-in-turnover-in-trumps-cabinet-is-still-historically-high/</a>.

Two Years In, Turnover In Trump&lt;U+2019&gt;s Cabinet Is Still Historically High — cabinet_turnover

A data frame with 312 rows representing cabinet members and 8 variables:<dl class='dl-horizontal'>
 <dt>president</dt><dd>Surname of of sitting President</dd>
 <dt>position</dt><dd>Cabinet Position</dd>
 <dt>appointee</dt><dd>Appointee's full name</dd>
 <dt>start</dt><dd>Date the appointee was sworn in</dd>
 <dt>end</dt><dd>Date the appointee left office</dd>
 <dt>length</dt><dd>Length of Tenure, in days</dd>
 <dt>days</dt><dd>Days into administration that the appointee left office</dd>
 <dt>combined</dt><dd>Whether or not Cabinet member served in more than one administrations</dd>
 </dl>

Two Years In, Turnover In Trump&lt;U+2019&gt;s Cabinet Is Still Historically High

cabinet_turnover: Two Years In, Turnover In Trump<U+2019>s Cabinet Is Still Historically High

Description

Usage

Arguments

Format