Pascal Siakam Stats
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Statistics Slam Dunk
Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data.
The Danger of Devaluing Immigrants
Author: Fariborz Ghadar
language: en
Publisher: Bloomsbury Publishing USA
Release Date: 2022-11-07
Despite deep divisions on the issue of immigration, this book shows that immigration promotes economic innovation, expands the job market, and contributes to diversity and creativity in the United States. Immigration, as a conduit for bringing new talent, ideas, and inventions into the United States, is essential to the success and vitality of our economy and society. This timely book, researched and written by the Immigration Book Project Team at Penn State University, approaches immigration from historical, economic, business, and sociological perspectives in order to argue that treatment of immigrants must reflect and applaud their critical roles in supporting and leading the economic, social, cultural, and political institutions of civil society. Approaching immigration as both a socioeconomic phenomenon and a matter of public policy, The Danger of Devaluing Immigrants offers demographics and statistics on workforce participation and job creation along with stories of individual immigrants' contributions to the economy and society. It supports the idea that, when immigration is challenged in the political sphere, we must not lose sight of the valuable contributions that immigrants have made-and will continue to make-to our democracy.
Triple Double
Author: Arilova A. Randrianasolo
language: en
Publisher: Springer Nature
Release Date: 2021-08-28
This book provides empirical evidence and statistical analyses to uncover answers to some of the most debated questions in the NBA. The sports world lives and breathes off of debates on who deserves an MVP award, and which athletes should be considered all-stars. This book provides some statistics-backed perspectives to some of these debates that are specific to the NBA. Was LeBron snubbed of an MVP in the 2010-2011 season? Why has the G.O.A.T. debate turned into LeBron vs. Jordan....Did Kobe get overlooked? How come Klay Thompson didn’t get All-NBA honors in the 2018-2019 season? This book explores these questions and many more with empirical evidence. This book is invaluable for any undergraduate or masters level course in sport analytics, sports marketing, or sports management. It will also be incredibly useful for scouts, recruiters, and general managers in the NBA who would like to use analytics in their work.