NBA-PlayerStats-DataExploration
所属分类:数据可视化
开发工具:Jupyter Notebook
文件大小:2773KB
下载次数:0
上传日期:2021-07-24 21:21:26
上 传 者:
sh-1993
说明: NBA玩家统计数据探索,,
(NBA-PlayerStats-DataExploration,,)
文件列表:
NBA_PlayerStats_DataAnalysis.ipynb (4596082, 2021-07-25)
NBA_PlayerStats_WebScraping.ipynb (77614, 2021-07-25)
nba2020.csv (83156, 2021-07-25)
# NBA Player Stats - Data Wrangling, Exploration & Visualization
![Version](https://img.shields.io/badge/version-0.1-blue.svg?cacheSeconds=2592000)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![image](https://img.shields.io/badge/Microsoft_Outlook-0078D4?style=for-the-badge&logo=microsoft-outlook&logoColor=white)](mailto:saurabh011@e.ntu.edu.sg?subject=Regarding%20Software%20Engineering%20work)
[![image](https://img.shields.io/badge/WhatsApp-25D366?style=for-the-badge&logo=whatsapp&logoColor=white)](https://wa.me/6583794711)
[![image](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/mechanical-engineer-saurabh/)
This project uses NBA player performance data from: https://www.basketball-reference.com/leagues/NBA_2020_per_game.html
## Features
Currently the project has the following features:
* Web Scraping
* Data Wrangling
* Data Exploration & Pattern Finding
* Data Visualization/ Pattern Visualisation
## “± Usage
Simply open the respective ".pnyb" file to view the jupyter notebook with the code and trend visualisations.
The project is two part:
* [Web Scraping](https://github.com/Saurabh-Mudgal/NBA-PlayerStats-DataExploration/blob/main/NBA_PlayerStats_WebScraping.ipynb)
* [Data Wrangling, Analysis & Visualisation](https://github.com/Saurabh-Mudgal/NBA-PlayerStats-DataExploration/blob/main/NBA_PlayerStats_DataAnalysis.ipynb)
## ‘¤ Author
**Saurabh Mudgal**
Like what you see? I am available for freelance and full-time work. Let's chat!
* Website: www.saurabhmudgal.com
* Email: saurabh011@e.ntu.edu.sg
* Alternate Email: smsaurabhmudgal@gmail.com
* Location: Singapore
Credit: Data Professor
Give a if this project helped you! :)
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