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https://github.com/ezeparziale/hello-streamlit

:bar_chart: Demo streamlit para analisis de datos
https://github.com/ezeparziale/hello-streamlit

data-science data-visualization python streamlit

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:bar_chart: Demo streamlit para analisis de datos

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# :bar_chart: Streamlit Demo for Data Analysis

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/ezeparziale/hello-streamlit/app/nba_app.py)

Demo using NBA statistics data.

![image](app/img/app.png)

![image](app/img/app_2.png)

![image](app/img/app_3.png)

![image](app/img/app_4.png)

## :floppy_disk: Installation

```shell
python -m venv env
```

```shell
source env/bin/activate
```

```shell
python.exe -m pip install --upgrade pip
```

```shell
pip install -r requirements.txt
```

## :running_man: Run

```shell
streamlit run app/nba_app.py
```

```http
http://localhost:8501
```

## :basketball: Features

- Comprehensive player statistics listings
- Team logos
- Player images
- Player comparison
- Image or text selector for players
- Image or text selector for teams
- Image size adjustment
- Language selector for Spanish and English
- CSV export
- Deployment on Streamlit Cloud
- Color selector in radar based on team colors
- Player view selector
- Team view selector
- Team view with map