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fix link, add example app
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README.md

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@@ -13,7 +13,7 @@ We'd like to ask you to familiarize yourself with our [Contribution Guide](CONTR
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the [more detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even
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how to write new episodes.
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Please see the current list of [issues][https://github.com/jenna-jordan/data-visualization-workshop/issues] for ideas for contributing to this
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Please see the current list of [issues][issues] for ideas for contributing to this
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repository. For making your contribution, we use the GitHub flow, which is
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nicely explained in the chapter [Contributing to a Project](http://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project) in Pro Git
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by Scott Chacon.
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To cite this lesson, please consult with [CITATION](CITATION)
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[lesson-example]: https://carpentries.github.io/lesson-example
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[issues]: https://github.com/carpentries-incubator/python-interactive-data-visualizations/issues

index.md

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---
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This workshop lesson is an introduction to making interactive data visualizations in Python. Learners will create a new environment using [conda][anaconda], wrangle data into the proper format using [pandas][pandas] library, create visualizations using the [Plotly][plotly] Python library, and display these visualizations and create widgets using [Streamlit][streamlit].
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> ## Preview the app
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> For a preview of what learners will be creating in this lesson (including the exercises), click the "Open in Streamlit" button below.
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> [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/jenna-jordan/interact-with-gapminder-data-app/main/app.py)
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> The repository that contains this example Streamlit app can be found [here](https://github.com/jenna-jordan/interact-with-gapminder-data-app).
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{: .callout}
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