NBA Player Stats

Web App

As an enthusiastic data analyst and an avid NBA fan, I combined my passions to create the "NBA Player Stats" web app. This app stands as a testament to my capacity to handle complex data sets, my attention to detail, and my ability to integrate user interactivity into a meaningful and engaging data exploration tool.

"NBA Player Stats" was built using Shiny, an R package that allows for the creation of interactive web applications straight from R. Leveraging the capabilities of Shiny, I created an interface that lets users navigate and interact with player statistics in an intuitive and engaging manner. The app allows users to explore various metrics, offering options to filter by player, statistics, opposing team, location, and date range. This approach underscores my commitment to creating solutions that center around the user's needs and experiences.

The creation of this application involved manipulating complex NBA stats data, showcasing my expertise in using 'dplyr' and 'zoo' packages. These packages facilitated effective data wrangling and analysis, enabling me to sift through volumes of information and extract the most relevant data points. Additionally, I employed 'ggplot2' for data visualization, which helped transform raw data into insightful, easily understandable visual representations.

In dealing with the intricacies of NBA game data, I demonstrated my proficiency in working with time-series data and implementing Monte Carlo simulations. This allowed for the analysis of past player performance under different game conditions and the prediction of potential outcomes, providing users with a comprehensive understanding of a player's capabilities.

The journey of bringing my "NBA Player Stats" web app from an idea to a fully-functional application was an enriching experience. It underscored my ability to see a project through from inception to completion, an invaluable skill in the ever-evolving landscape of data analytics.

Through the development of the "NBA Player Stats" web app, I displayed my strong data analytics skills, including data manipulation, visualization, and user interface creation. It showcases my ability to turn complex data into engaging and interactive insights, making data analysis accessible and interesting to a broad audience. My dedication to creating user-centric, interactive data tools sets me apart as a data professional.