Note: This is a final project for R Computing class taken in Fall 2021. Files have been duplicated from private org repo (hence the minimal commits).

About nbaanalysis package

The nbaanalysis package constructs a RShiny Dashboard, which gives the user the ability the analyze and visualize NBA player performance data on a multitude of levels, ranging from viewing high-level performance metrics to conducting exploratory and across-NBA comparisons.

Available data and functions

• run_nba_analysis() - this function runs the main shiny dashboard
• shooting_data - a dataset that contains each player's shooting statistics used in the shiny dashboard
• per_data - a dataset that contains each player's per game statistics used in the shiny dashboard
• player_stats - a dataset that contains each player's profile statistics used in the shiny dashboard

Steps to run shiny app

1. library(nbaanalysis)
2. nbaanalysis::run_nba_analysis()

Built With

Below are the major frameworks/libraries used to create the package. Each link redirects to the documentation for the package in question.

• teamcolors
• shiny
• shinyWidgets
• shinydashboard
• ggforce
• ggplot2
• dplyr
• magrittr
• reactable
• usethis
• rvest
• purrr
• here
• readr
• stats
• devtools
• stringr
• ggthemes
• shinycssloaders
• ggrepel

(back to top)

Data Sources

• NBA team abbreviations
• Yearly shooting and per game data
• Player stats

Contact

• Jackie Du - jacquelyn.du@duke.edu
• Eric Bai - eric.bai@duke.edu
• Johnny Anton - johnny.antoun@duke.edu
• Rich Fremgen - richard.fremgen@duke.edu

(back to top)

License

Distributed under the MIT License. See LICENSE.md for more information.

(back to top)