nba_tattoos

The raw data behind the story
"Accurately Counting NBA Tattoos Isn't Easy, Even If You're Up Close"
<a href="https://fivethirtyeight.com/features/accurately-counting-nba-tattoos-isnt-easy-even-if-youre-up-close/">https://fivethirtyeight.com/features/accurately-counting-nba-tattoos-isnt-easy-even-if-youre-up-close/</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

nba_tattoos function

A data frame with 636 rows representing National Basketball Association players and 2 variables:<dl class="dl-horizontal">
 <dt>player_name</dt><dd>Name of player</dd>
 <dt>tattoos</dt><dd>TRUE corresponds to player having tattoos, FALSE corresponds to not</dd>
</dl>

Format

The raw data behind the story
"Accurately Counting NBA Tattoos Isn't Easy, Even If You're Up Close"
<a href='https://fivethirtyeight.com/features/accurately-counting-nba-tattoos-isnt-easy-even-if-youre-up-close/'>https://fivethirtyeight.com/features/accurately-counting-nba-tattoos-isnt-easy-even-if-youre-up-close/</a>.

Accurately Counting NBA Tattoos Isn't Easy, Even If You're Up Close — nba_tattoos

A data frame with 636 rows representing National Basketball Association players and 2 variables:<dl class='dl-horizontal'>
 <dt>player_name</dt><dd>Name of player</dd>
 <dt>tattoos</dt><dd>TRUE corresponds to player having tattoos, FALSE corresponds to not</dd>
</dl>

Accurately Counting NBA Tattoos Isn't Easy, Even If You're Up Close

nba_tattoos: Accurately Counting NBA Tattoos Isn't Easy, Even If You're Up Close

Description

Usage

Arguments

Format