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aed-python-data-dash

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Codigos referentes a disciplina Storytelling com Dados e Design de Dashboards - CESAR School

aed-python-data-dash 최신버젼 다운로드

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// repository documentation

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# Storytelling com Dados e Desenvolvimento de Dashboards

Codigos referentes a disciplina Storytelling com Dados e Design de Dashboards - CESAR School 2023

A organização deste repositório é a seguir:

```
├── dash
├── html101
├── sql101
├── streamlit
└── README.md
```

## Dash

Contém códigos relacionado ao desenvolvimento de Dashboards baseado na biblioteca Dash by Plotly. A configuração do ambinente com Dash é

```
python3 -m venv venv-dash
source venv-dash/bin/activate
pip install -r requirements.txt
```

## Streamlit

Contém códigos relacionado ao desenvolvimento de Dashboards baseado no Streamlit. Lembre de rodar as aplicações (**app.py**) com

```
streamlit run app.py
```

Você pode rodar os códigos do Streamlit criando virtualenvs ou seguindo estes [passos](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment).

## HTML101

Contém referências e uma rápida documentação sobre HTML. **Não é necessária para disciplian, está como conteúdo EXTRA!**

# References

Some useful references obtained from GitHub, Medium etc

![img](https://khuyentran1401.github.io/Efficient_Python_tricks_and_tools_for_data_scientists/_images/tools.png)

**Python**

- [Efficient Python Tricks and Tools for Data Scientists](https://khuyentran1401.github.io/Efficient_Python_tricks_and_tools_for_data_scientists/README.html)

- [Data Visualization Python: exemplos com Plotly e Seaborn](https://github.com/eron93br/Data-Visualization-Python)

- [Python Programming And Numerical Methods: A Guide For Engineers And Scientists](https://pythonnumericalmethods.berkeley.edu/notebooks/Index.html)

**Dashboards**

- [Dashboard Design Principles & Best Practices To Enhance Your Data Analysis](https://www.datapine.com/blog/dashboard-design-principles-and-best-practices/)

**Storytelling with data**

- [Storytelling With Data - Guia dos graficos](https://www.storytellingwithdata.com/chart-guide)

- [Storytelling With Data - Graficos do Livro](https://www.storytellingwithdata.com/book/downloads)

- [Plots from the book "Storytelling with data" implementation using Python and matplotlib](https://github.com/empathy87/storytelling-with-data)

- [Notes from the book "Storytelling with data"](https://gist.github.com/AdamMescher/4934fee9e8f7dda605f551f60a03d4bd#file-01-the-importance-of-context-md)

- [Boa Descrição de Conjuntos de Dados](https://github.com/infoslack/eda-wine-review/blob/main/eda-wine-reviews.ipynb)

- [Artigo Medium - Matplotlib Tips to Instantly Improve Your Data Visualizations — According to “Storytelling with Data”](https://towardsdatascience.com/matplotlib-tips-to-instantly-improve-your-data-visualizations-according-to-storytelling-with-8e75601b38cb)

- [How the BBC Visual and Data Journalism team works with graphics in R](https://medium.com/bbc-visual-and-data-journalism/how-the-bbc-visual-and-data-journalism-team-works-with-graphics-in-r-ed0b35693535)

- [BBC Visual and Data Journalism cookbook for R graphics](https://bbc.github.io/rcookbook/)

- [Modern Data Visualization with R](https://rkabacoff.github.io/datavis/)

**Dash**

- [Data App Workspaces](https://plotly.com/dash/workspaces/)
- [Jupyter Dash Oficial Repo](https://github.com/plotly/jupyter-dash)
- [Estrutura de Aplicacao](https://dash.plotly.com/dash-enterprise/application-structure)
- [Interactive Dashboards and Data Apps with Plotly and Dash](https://github.com/PacktPublishing/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash)
- [Investment Portfolio widget - Dashboard](https://github.com/mbk-dev/okama-dash)

**Streamlit**

- [Streamlit templates and awesome projects](https://github.com/MarcSkovMadsen/awesome-streamlit)
- [Getting Started with Streamlit for Data Science](https://github.com/PacktPublishing/Getting-started-with-Streamlit-for-Data-Science)

**Ferramenta para verificação da qualidade dos dados**

- [Ydata Quality](https://github.com/ydataai/ydata-quality)

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