🏒 NHL Analytics Dashboard

Interactive Exploratory Data Analysis Dashboard for National Hockey League (NHL) Player & Team Performance

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📌 Project Overview

The NHL Analytics Dashboard is an interactive data visualization application developed using Python and Streamlit to analyze player and team performance in the National Hockey League (NHL).

The dashboard enables users to explore NHL statistics through interactive filters, performance metrics, and professional visualizations. It supports exploratory data analysis (EDA), making it easier to identify scoring trends, player efficiency, team performance, and statistical relationships.

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🚀 Live Dashboard

🌐 Streamlit Deployment

https://nhl-analytics-dashboard-enwsdpzf6qxpp29rfp5taf.streamlit.app/

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✨ Key Features

• Interactive Streamlit Dashboard
• Dynamic Sidebar Filters
• CSV File Upload Support
• Search by Player Name or Player ID
• KPI Summary Cards
• Dataset Quality Summary
• Top Goal Scorers Analysis
• Shots vs Goals Analysis
• Shot-to-Goal Conversion Rate
• Correlation Heatmap
• Position Distribution Analysis
• Top Teams by Points
• Goals Distribution Analysis
• Goals by Position (Box Plot)
• Team Performance Summary
• Download Filtered Dataset
• Responsive User Interface

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📊 Dashboard Preview Project Banner

Dashboard Home

Top Goal Scorers Analysis

Correlation Heatmap

Position Distribution

Team Performance Summary

Goals Distribution

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📈 Dashboard Functionalities

The dashboard provides comprehensive Exploratory Data Analysis through the following visualizations:

📌 KPI Cards

• Total Players
• Total Teams
• Average Goals
• Highest Goals

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📌 Dataset Summary

• Total Rows
• Total Columns
• Missing Values
• Duplicate Records

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📌 Interactive Filters

• Team Selection
• Position Selection
• Season Selection
• Goals Range
• Player Search
• Player ID Search

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📌 Visualizations

• Top Goal Scorers
• Shots vs Goals Scatter Plot
• Correlation Heatmap
• Position Distribution
• Top Teams by Points
• Goals Distribution
• Goals by Position Box Plot

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📌 Additional Features

• CSV Upload Support
• Team Performance Summary Table
• Download Filtered Dataset

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🛠️ Technology Stack

Technology	Purpose
Python	Programming Language
Streamlit	Interactive Dashboard Development
Pandas	Data Processing & Analysis
Matplotlib	Data Visualization
Seaborn	Statistical Visualization

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📂 Dataset

The dashboard uses NHL player statistics from:

data/skaters.csv

The dataset includes:

• Player Name
• Player ID
• Team
• Season
• Position
• Goals
• Points
• Shots on Goal
• Hits
• Games Played
• Game Score

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📁 Project Structure

dashboard_project/
│
├── app.py
├── requirements.txt
├── README.md
├── LICENSE
├── .gitignore
│
├── data/
│   └── skaters.csv
│
├── images/
│   ├── banner.png
│   ├── dashboard_home.png
│   ├── top_goal_scorers.png
│   ├── heatmap.png
│   ├── position_distribution.png
│   ├── team_summary.png
│   └── goals_distribution.png
│
└── notebooks/
    └── analysis.ipynb

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⚙️ Installation

Clone the repository:

git clone https://github.com/Faran70177784/dashboard_project.git

Navigate to the project:

cd dashboard_project

Install dependencies:

pip install -r requirements.txt

Run the application:

streamlit run app.py

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🔄 Dashboard Workflow

NHL Dataset
      │
      ▼
Data Loading
      │
      ▼
Data Filtering
      │
      ▼
Exploratory Data Analysis
      │
      ▼
Interactive Visualizations
      │
      ▼
Performance Insights
      │
      ▼
Download Filtered Dataset

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🎯 Future Improvements

• Support Multiple Sports Datasets
• Advanced Player Comparison
• Team Performance Prediction
• Machine Learning Integration
• Real-Time NHL API Support
• Interactive Maps
• Advanced Statistical Analytics
• Export Dashboard Reports (PDF)

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👨‍💻 Developer

Syed Faran Ali

BS Robotics & Artificial Intelligence

University of Lahore

GitHub: https://github.com/Faran70177784

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📄 License

This project is licensed under the MIT License.

See the LICENSE file for more information.

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⭐ If you found this project helpful, consider giving it a Star on GitHub!