tennis_players_time

The raw data behind the story
"Why Some Tennis Matches Take Forever"
<a href="https://fivethirtyeight.com/features/why-some-tennis-matches-take-forever/">https://fivethirtyeight.com/features/why-some-tennis-matches-take-forever/</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

Andrew Flowers

Jonathan Bouchet

G. Elliott Morris

Adam Spannbauer

Pradeep Adhokshaja

Olivia Barrows

Jojo Miller

Jayla Nakayama

tennis_players_time function

A data frame with 218 rows representing players and 2 variables:<dl class="dl-horizontal">
 <dt>player</dt><dd>Player Name</dd>
 <dt>sec_added</dt><dd>Weighted average of seconds added per point as loser and winner of matches, 1991-2015, from regression model controlling for tournament, surface, year and other factors</dd>
</dl>

Format

The raw data behind the story
"Why Some Tennis Matches Take Forever"
<a href='https://fivethirtyeight.com/features/why-some-tennis-matches-take-forever/'>https://fivethirtyeight.com/features/why-some-tennis-matches-take-forever/</a>.

Why Some Tennis Matches Take Forever — tennis_players_time

A data frame with 218 rows representing players and 2 variables:<dl class='dl-horizontal'>
 <dt>player</dt><dd>Player Name</dd>
 <dt>sec_added</dt><dd>Weighted average of seconds added per point as loser and winner of matches, 1991-2015, from regression model controlling for tournament, surface, year and other factors</dd>
</dl>

Why Some Tennis Matches Take Forever

tennis_players_time: Why Some Tennis Matches Take Forever

Description

Usage

Arguments

Format

See Also