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https://github.com/iobruno/kaggle-data-vis

Kaggle Data Visualization Microcourse with Seaborn and Plot.ly (COVID-19 Dataset)
https://github.com/iobruno/kaggle-data-vis

covid-19 jupyter-notebook kaggle plotly seaborn

Last synced: about 16 hours ago
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Kaggle Data Visualization Microcourse with Seaborn and Plot.ly (COVID-19 Dataset)

Host: GitHub
URL: https://github.com/iobruno/kaggle-data-vis
Owner: iobruno
License: cc-by-sa-4.0
Created: 2020-09-25T21:41:24.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2025-02-02T07:45:50.000Z (9 days ago)
Last Synced: 2025-02-06T19:50:17.662Z (4 days ago)
Topics: covid-19, jupyter-notebook, kaggle, plotly, seaborn
Language: Jupyter Notebook
Homepage:
Size: 15.9 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Kaggle Data Visualization

![Python](https://img.shields.io/badge/Python-3.13_|_3.12-4B8BBE.svg?style=flat&logo=python&logoColor=FFD43B&labelColor=306998)

[![Pandas](https://img.shields.io/badge/pandas-150458?style=flat&logo=pandas&logoColor=E70488&labelColor=150458)](https://pandas.pydata.org/docs/user_guide/)

[![plot.ly](https://img.shields.io/badge/plotly-5.x-242A44?style=flat&logo=plotly&logoColor=white&labelColor=242A44)](https://plotly.com/python/)

[![seaborn](https://img.shields.io/badge/seaborn-0.13-242A44?style=flat&logo=python&logoColor=white&labelColor=242A44)](https://seaborn.pydata.org/api)

[![Jupyter](https://img.shields.io/badge/Jupyter-262A38?style=flat&logo=jupyter&logoColor=FF6849&labelColor=262A38)](https://docs.jupyter.org/en/stable/projects/kernels.html)

[![uv](https://img.shields.io/badge/astral/uv-261230?style=flat&logo=uv&logoColor=DE5FE9&labelColor=261230)](https://docs.astral.sh/uv/getting-started/installation/)

![License](https://img.shields.io/badge/license-CC--BY--SA--4.0-31393F?style=flat&logo=creativecommons&logoColor=black&labelColor=white)

Kaggle - Learn Data Visualization

## Getting Started

**1.** Install dependencies from pyproject.toml and activate the created virtualenv:

```shell

uv sync && source .venv/bin/activate

```

**2.** Spin up jupyter for EDA and Data vis:

```shell

jupyter lab

```

## TODO's:

- [x] PEP-517: Packaging and dependency management with `uv`

- [x] Implement basic visualizations with seaborn in Jupyter

- [ ] Implement the visualizations done with seaborn using Plotly

- [ ] Optimize COVID19 EDA Visualizations

- [ ] Implement visualization with Streamlit and Plotly