From 99c37a45ea0c4d8fcf7cb38de3a504926019b3bf Mon Sep 17 00:00:00 2001 From: saipranavrguduru <116751855+saipranavrguduru@users.noreply.github.com> Date: Wed, 25 Sep 2024 19:14:17 -0400 Subject: [PATCH 1/2] Updated ReadMe.md Updated the read me and added new sections where I mentioned the description, features, installation, running scripts and data sources. --- README.md | 25 +++++++++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6a3cb21..97d0be3 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,32 @@ Fantasy Football Analytics ========================= -# Initial install and configuration -Once you have downloaded the repo to your local environment, the first thing that you want to do is to install all of the packages that this project will require. This way you will avoid errors when running the scripts. +# Description: +This repository contains R scripts and data files used for advanced fantasy football analysis. It’s part of the Fantasy Football Analytics platform, which focuses on applying statistical modeling and data-driven insights to enhance decision-making in fantasy football. + +# Features: + +- Player Projections: Forecasts for player performance using historical data. +- Lineup Optimization: Optimize lineups based on projected points and constraints like salary caps or league rules. +- Draft Tools: Tools for making informed draft picks based on statistical analysis. + +# Installation: +To get started, you need to install the required R packages. You can do this by running the following command in R: ```r install.packages(c("reshape", "MASS", "psych", "Rglpk", "XML", "data.table"), dependencies=TRUE) ``` +Additionally, make sure you have R and RStudio installed on your machine for running and editing the scripts. + +# Data Sources: +The repository uses various data sources such as historical player stats, team performance, and projections to build models and tools that help fantasy football managers make informed decisions. + +# Running the Scripts: + +To use the scripts: +Clone the repository: +```bash +git clone https://github.com/FantasyFootballAnalytics/FantasyFootballAnalyticsR.git +``` # More info Fantasy Football Analytics is a website for harnessing the power of statistics, data analysis, and R to improve your performance in fantasy football. This GitHub repository includes R scripts and data files for conducting the analyses in R as described on the website. Read more at http://fantasyfootballanalytics.net/. From e47e37ad3890f0e2d8f289330c66491d108e9593 Mon Sep 17 00:00:00 2001 From: saipranavrguduru <116751855+saipranavrguduru@users.noreply.github.com> Date: Wed, 25 Sep 2024 23:50:34 -0400 Subject: [PATCH 2/2] Updated README.md Added more text to the commit as it was cut off the first time. --- README.md | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 97d0be3..ceacb03 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,7 @@ Fantasy Football Analytics ========================= # Description: + This repository contains R scripts and data files used for advanced fantasy football analysis. It’s part of the Fantasy Football Analytics platform, which focuses on applying statistical modeling and data-driven insights to enhance decision-making in fantasy football. # Features: @@ -11,6 +12,7 @@ This repository contains R scripts and data files used for advanced fantasy foot - Draft Tools: Tools for making informed draft picks based on statistical analysis. # Installation: + To get started, you need to install the required R packages. You can do this by running the following command in R: ```r install.packages(c("reshape", "MASS", "psych", "Rglpk", "XML", "data.table"), dependencies=TRUE) @@ -28,5 +30,15 @@ Clone the repository: git clone https://github.com/FantasyFootballAnalytics/FantasyFootballAnalyticsR.git ``` -# More info -Fantasy Football Analytics is a website for harnessing the power of statistics, data analysis, and R to improve your performance in fantasy football. This GitHub repository includes R scripts and data files for conducting the analyses in R as described on the website. Read more at http://fantasyfootballanalytics.net/. +# More Info: + +Fantasy Football Analytics is a platform that leverages statistics, data analysis, and R programming to enhance fantasy football strategies and performance. The GitHub repository hosts R scripts and data sets used to conduct these analyses, aligning with the methodologies outlined on the website. You can learn more by visiting http://fantasyfootballanalytics.net/. + +**Pros:** +- Provides tools and resources for data-driven decision-making in fantasy football. +- Utilizes the powerful R language, ideal for statistical analysis. +- Open access to the code allows for customization and deeper learning. + +**Cons:** +- Requires familiarity with R programming, which may pose a learning curve. +- Success in fantasy football still depends on the quality of real-world data.