https://github.com/justsecret123/nba-players-stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀
https://github.com/justsecret123/nba-players-stats-analysis

csv ipython-notebook ipywidgets jupyter-notebook jupyterlab matplotlib pandas python scikit-learn seaborn

Last synced: about 1 month ago
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A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

• Host: GitHub
• URL: https://github.com/justsecret123/nba-players-stats-analysis
• Owner: Justsecret123
• License: gpl-3.0
• Created: 2020-05-03T06:49:57.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-08-01T12:28:03.000Z (over 3 years ago)
• Last Synced: 2024-11-05T18:34:12.577Z (3 months ago)
• Topics: csv, ipython-notebook, ipywidgets, jupyter-notebook, jupyterlab, matplotlib, pandas, python, scikit-learn, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 2.62 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# NBA-Players-Stats-analysis 

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. :basketball:

## Features

### Heatmaps:

![Heatmap:](Features/Heatmap.PNG)

### Players comparison:

![Players_comparison:](Features/Players_comparison.PNG)

> **Before comparing two players, make sure to run all the cells.**

### Totals by position:

![Totals_by_position:](Features/Totals_by_position.PNG)

### Players stats prediction

![Prediction:](Features/Prediction.PNG)

### Additional features

> **Adding new players via the "New player" notebook**

## How to use 

## Players_stats analysis notebook

### 1-Navigate to the desired section (ex: -> Heatmap)

![Heatmap_section:](How%20to%20Use/1-Section.PNG)

> **For convenience purposes, all the sections are designed this way.**

### 2-Interact with controls/widgets: 

![Interactions:](How%20to%20Use/2-Interact_with_controls.PNG)

## Prediction notebook

> **Open the notebook, run all the cells and fill the input fields. The prediction and an analysis process will autmatically start/resume.**

![Predictions](How%20to%20Use/Prediction.PNG)

## New player notebook

> **Open the notebook, run all the cells and fill the input fields. The player will be automatically added**

## Prerequisites

- Language: Python 3.x or higher

- IDE: Jupyter Lab and Jupyter Lab widgets installed.

- Libraries: Pandas, Matplotlib, NumPy, Seaborn, IPywidgets, IPython, Scikit-learn