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https://github.com/denisecase/cintel-04-reactive

Interactive analytics, reactive app built with Shiny for Python
https://github.com/denisecase/cintel-04-reactive

analytics bokeh data flights interactive mtcars penguins python relationships shiny

Last synced: 4 months ago
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Interactive analytics, reactive app built with Shiny for Python

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README

          

# Continuous Intelligence and Interactive Analytics - Reactive Apps

- Interactive app: [cintel-04-reactive](https://denisecase.shinyapps.io/cintel-04-reactive/)
- Repository: [cintel-04-reactive](https://github.com/denisecase/cintel-04-reactive)
- Author: [Denise Case](https://github.com/denisecase)

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## Copy This Repository

Copy this starter repository into your own GitHub account by clicking the 'Fork' button at the top of this page.

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## Customize Your Web App

### Get the Code to your Local Machine

1. Open VS Code and from the menu, select **View** / **Command Palette**.
1. Type "Git: Clone" in the command palette and select it.
1. Enter the URL (web address) of your forked GitHub repository (make sure it contains your GitHub username - not denisecase).
1. Choose a directory on your local machine (e.g., Documents folder) to store the project.
1. If prompted, sign in to GitHub from VS Code.

### Make Changes in VS Code

With your repository folder open in VS Code:

1. Click on this README.md file for editing.
1. Update the README.md file by changing your name in the author link above.
1. Update the links in the README.md file to your username instead of denisecase.

### Save Your Changes

1. After making changes, you want to send them back to GitHub.
1. In VS Code, find the "Source Control" icon and click it.
1. Important: Enter a brief commit message describing your changes.
1. Change the "Commit" button dropdown to "Commit and Push" to send your changes back to GitHub.

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## Reminders

Details matter - check spelling, capitalization, plurals, spacing when things don't match.

## Resources

- [Seaborn](https://seaborn.pydata.org/)
- [Plotly](https://plotly.com/python/)
- [Bokeh](https://docs.bokeh.org/en/latest/index.html)
- [Seaborn Flights Dataset](https://seaborn.pydata.org/tutorial/data_structure.html)

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![Flights](./images/01-flights.PNG)

![MT Cars](./images/02-mtcars.PNG)

![Penguins](./images/03-penguins.PNG)

![Relationships](./images/04-relationships.PNG)