scholarly journals Data Wrangling and Management in R

2017 ◽  
Author(s):  
Nabeel Siddiqui
Keyword(s):  
Data Analysis ◽  
Basic Data ◽  
R Packages

This tutorial explores how scholars can organize 'tidy' data, understand R packages to manipulate data, and conduct basic data analysis.

Basic Data Analysis for Quantitative Research

2019 ◽  
pp. 326-352
Author(s):  
Joe F. Hair ◽  
Michael Page ◽  
Niek Brunsveld
Keyword(s):  
Data Analysis ◽  
Quantitative Research ◽  
Basic Data

scholarly journals Progress in the R ecosystem for representing and handling spatial data

2020 ◽  
Author(s):  
Roger S. Bivand
Keyword(s):  
New York ◽  
Data Analysis ◽  
Open Source ◽  
Spatial Data ◽  
Spatial Data Analysis ◽  
Data Handling ◽  
Good Match ◽  
R Programming Language ◽  
R Packages ◽  
R Programming

Abstract Twenty years have passed since Bivand and Gebhardt (J Geogr Syst 2(3):307–317, 2000. 10.1007/PL00011460) indicated that there was a good match between the then nascent open-source R programming language and environment and the needs of researchers analysing spatial data. Recalling the development of classes for spatial data presented in book form in Bivand et al. (Applied spatial data analysis with R. Springer, New York, 2008, Applied spatial data analysis with R, 2nd edn. Springer, New York, 2013), it is important to present the progress now occurring in representation of spatial data, and possible consequences for spatial data handling and the statistical analysis of spatial data. Beyond this, it is imperative to discuss the relationships between R-spatial software and the larger open-source geospatial software community on whose work R packages crucially depend.

scholarly journals Data analysis of financial burden index through KBO league FA pitcher's performance and contract amount size

2021 ◽  
Vol 11 (3) ◽  
pp. 2555
Author(s):  
Semin Kim ◽  
Kangsoo You
Keyword(s):  
Data Analysis ◽  
Economic Crisis ◽  
Financial Burden ◽  
Basic Data ◽  
Professional Baseball ◽  
Sports Industry ◽  
Sports Events ◽  
The World ◽  
The Republic ◽  
Baseball Fans

Due to the recent pandemic of COVID-19, sports events around the world are being hit hard in 2020. However, with the KBO league having been opened even though it is late, it has attracted the attention of baseball fans around the world as it becomes an overseas broadcast. However, since the Republic of Korea is also affected by the global economic crisis, the financial burden of professional baseball teams that rely on their parent company has become a hot topic. Therefore, in this study, we collected records such as IP, ERA, and WAR of KBO league FA pitchers and news related to FA contracts. Then, we preprocessed the data and analyzed it. To this end, we analyzed the performance and financial burden indicators according to the pitcher's age and contract years. In addition, it was found that the performance of athletes was maintained until their mid 30’s, and through rational FA contracts, the team and athletes were able to suggest win-win strategies. And with this basic data analysis in the sports industry, the possibility of utilizing these strategies was confirmed.

Sign in / Sign up

Export Citation Format

Share Document