Team_9_NBA_Project

NBA Data project

Data - Data source for 2016-17 NBA season from Kaggle and web scraping geographical data of the stadiums where the teams play to provide even more team statistical analysis.
Data Wrangling - Use jupyter notebook to clean and compile data in order to import data to the database MongoDB
Python Flask API - Build python flask RESTful API to create web application.
Web App - Using Bootstrap, html, css and javascript to create visualizations.
JS charts - plotly.js, chart.js, D3.js and DataTable.
Heroku deployment.

Name		Name	Last commit message	Last commit date
Latest commit History 97 Commits
Proposal		Proposal
data		data
data_cleaning_mongo		data_cleaning_mongo
json_data		json_data
static		static
templates		templates
.gitignore		.gitignore
Procfile		Procfile
README.md		README.md
app.py		app.py
fetch_from_db.py		fetch_from_db.py
requirements.txt		requirements.txt
secret.py		secret.py