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Merge pull request #5 from olivroy/patch-1
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Enable autolinking of functions in vignette
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andreweatherman authored Jan 5, 2024
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10 changes: 5 additions & 5 deletions vignettes/articles/release.Rmd
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## Hi, I'm Andrew!

Hello there! I’m Andrew Weatherman, an avid open-source R developer and a die-hard college basketball enthusiast. My journey with R began during COVID, and I am entirely self-taught. In 2022, I ventured into the realm of "real coding" and developed the `toRvik` package, a tool for accessing college basketball data. It was my first major project and, despite its success, presented a fair share of challenges in maintenance.
Hello there! I’m Andrew Weatherman, an avid open-source R developer and a die-hard college basketball enthusiast. My journey with R began during COVID, and I am entirely self-taught. In 2022, I ventured into the realm of "real coding" and developed the [`toRvik` package](https://www.torvik.dev/), a tool for accessing college basketball data. It was my first major project and, despite its success, presented a fair share of challenges in maintenance.

In May 2023, I embarked on a new project: `cbbdata`. This Flask-based API is designed to deliver comprehensive, up-to-date college basketball statistics faster and more efficiently than its predecessor, `toRvik`. `cbbdata` has been a significant undertaking, and I'm excited to finally share it with the community.

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`cbbdata` ships with 26 functions, and there is a lot to love about this package. Here are some brief highlights:

- **Comprehensive Game-by-Game Logs:** Access detailed box scores and advanced metrics for players and teams dating back to 2008 (`cbd_torvik_player_game` and `cbd_torvik_game_box/factors`). You can further find per-game player and team splits on month, location, result, and game type factors (`cbd_torvik_player/team_split`).
- **Comprehensive Game-by-Game Logs:** Access detailed box scores and advanced metrics for players and teams dating back to 2008 (`cbd_torvik_player_game()` and `cbd_torvik_game_box()`/ `cbd_torvik_factors()`). You can further find per-game player and team splits on month, location, result, and game type factors (`cbd_torvik_player()`/`cbd_torvik_team_split()`).

- **Daily Updated NET Rankings:** Find the latest NET rankings every morning (`cbd_torvik_current_resume`).
- **Daily Updated NET Rankings:** Find the latest NET rankings every morning (`cbd_torvik_current_resume()`).

- **Game Predictions with Barttorvik:** Simulate any matchup, real or otherwise, using our game prediction feature, powered by Barttorvik (`cbd_torvik_game_prediction`). It’s perfect for pre-game analyses and hypothetical scenario discussions.
- **Game Predictions with Barttorvik:** Simulate any matchup, real or otherwise, using our game prediction feature, powered by Barttorvik (`cbd_torvik_game_prediction()`). It’s perfect for pre-game analyses and hypothetical scenario discussions.

- **Plot team logos with `gt`:** Okay, sure, this one isn't data-focused, but it's perhaps my favorite function. Rebuild your `team` column with a logo and team name and render in a `gt` table. Gone are the days of awkwardly having separate columns for your logo and team name (`cbd_gt_logos`). [Just like here!](https://x.com/andreweatherman/status/1730678741846704451?s=20)
- **Plot team logos with [`gt`](gt.rstudio.com):** Okay, sure, this one isn't data-focused, but it's perhaps my favorite function. Rebuild your `team` column with a logo and team name and render in a `gt` table. Gone are the days of awkwardly having separate columns for your logo and team name (`cbd_gt_logos()`). [Just like here!](https://x.com/andreweatherman/status/1730678741846704451?s=20)

## Why cbbdata?

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