diff --git a/project_proposal.md b/project_proposal.md index 30eb759..dde79fd 100644 --- a/project_proposal.md +++ b/project_proposal.md @@ -12,15 +12,14 @@ This document is to contain your project proposal. __As you complete each of the ## Project Title: WE DONE WITH THE NINETY'S -## Introduction +Introduction +The proposed study leverages data science methodologies to delve into the question of scoring difficulty across distinct eras in basketball. By employing statistical analysis and machine learning techniques on historical basketball data, this research aims to determine if scoring points was demonstrably harder during specific periods. The ultimate goal is to achieve a deeper understanding of how the dynamics of basketball gameplay have evolved over time, and how these changes have impacted both player effectiveness and strategic approaches on the court. -The proposed study uses data science approaches to compare and examine scoring difficulties in basketball over different eras. This study aims to shed light on whether it was harder for players to score points during some eras than during others by examining historical basketball data and using statistical and machine learning approaches. The goal of this research is to better understand how basketball gameplay dynamics have changed over time and how these changes may affect player effectiveness and strategy. +A critical component of this project involves the collection of comprehensive historical basketball statistics. This data will encompass player performance metrics, team statistics, and game outcomes, all meticulously gathered from various eras. To ensure accuracy and consistency for subsequent analysis, the data will undergo a rigorous cleansing and preprocessing phase. The core analysis will involve a two-pronged approach. First, machine learning algorithms will be utilized to identify patterns and trends in scoring difficulty across different eras. Second, this will be complemented by the computation of scoring data for various eras, including points per game (PPG), shooting percentages, and offensive efficiency. To effectively showcase these scoring trends and facilitate comparisons between eras, compelling visualizations such as graphs and charts will be created. -The collection of extensive historical basketball statistics, including player performance measures, team statistics, and game outcomes, from various eras is one of the project's main components. To ensure precision and consistency for further analysis, these data will be cleansed and preprocessed. Combining machine learning algorithms to find patterns and trends in scoring difficulties over time with the computation of scoring data for various eras, including points per game, shooting percentages, and offensive efficiency, will compose the analysis. In order to show scoring trends and make historical comparisons easier, visualizations like graphs and charts will be made. +The study delves into fundamental questions regarding basketball. Did scoring difficulty undergo significant changes between the sport's early period (1950s-1990s) and the modern era (2000s-present)? Additionally, the research will examine variables that potentially influence scoring difficulty, including rule modifications, player skill levels, and defensive tactics. The underlying theory driving this research posits that while advancements in player training and strategic breakthroughs have undoubtedly impacted scoring patterns throughout history, the increased scoring difficulty observed in earlier eras can be primarily attributed to variations in gameplay styles and defensive tactics employed. -Fundamental concerns about basketball will be explored by the study, such as whether scoring difficulty significantly changed between the game's early (the 1950s–1990s) and modern (the 2000s–present) periods. Additionally, variables including rule modifications, player skill levels, and defensive tactics that affect scoring difficulties will be examined. The theories driving this research suggest that while player training improvements and strategic breakthroughs have impacted scoring patterns across time, earlier periods' increased scoring difficulty was caused by variations in gameplay styles and defensive tactics. - -The goal of this research is to increase appreciation among basketball fans while also advancing our understanding of the historical background and gameplay mechanics of the sport. Basketball fans can develop a deep understanding of the sport's evolution and the efforts that have created its current form by witnessing the difficulties and adaptations players have undergone over the years. The groundwork for a thorough examination of the data analysis, findings, and implications in later sections is laid in this Introduction section. +By investigating these factors, this research aspires to not only enrich the appreciation of basketball fans but also contribute valuable insights into the sport's historical background and the evolution of its gameplay mechanics. Witnessing the challenges and adaptations players have faced throughout history will enable basketball fans to develop a deeper understanding of the sport's remarkable evolution and the efforts that have shaped its current form. This introductory section lays the groundwork for a thorough examination of data analysis, findings, and their broader implications, which will be explored in subsequent sections. ## Literature Review diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..71d6ca7 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,7 @@ +pandas>=1.1.5 +numpy>=1.19.5 +matplotlib>=3.3.4 +seaborn>=0.11.1 +scikit-learn>=0.24.1 +streamlit>=0.84.0 +requests>=2.25.1