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Using the Dash library, I was able to make two different dashboards within a python environment.

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.ipynb_checkpoints		.ipynb_checkpoints
Images		Images
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__pycache__		__pycache__
README.md		README.md
Test app.ipynb		Test app.ipynb
avo-app.py		avo-app.py
config.py		config.py
gdp-life-app.py		gdp-life-app.py

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Python_dashboard

Using the Dash library, I was able to make two different dashboards within a python environment.

The first is an interactive dashboard, showing the average price of avacados as a time-series. The user can choose which city/region to look at!

The second is from a population dataset. Here, we see if there is a correlation between a country's GDP and its citizens' life expectancies

At the moment, the GDP dashboard is not as interactive as I would like, and the apps can only be run locally. In the future, I intend to use Heroku to deploy these apps.