In this assignment, you will build an interactive dashboard to explore the Belly Button Biodiversity DataSet.
Use Plotly.js to build interactive charts for your dashboard.
- Create a PIE chart that uses data from your samples route (
/samples/<sample>
) to display the top 10 samples. - Create a Bubble Chart that uses data from your samples route (
/samples/<sample>
) to display each sample. - Display the sample metadata from the route
/metadata/<sample>
- Display each key/value pair from the metadata JSON object somewhere on the page
- Update all of the plots any time that a new sample is selected.
- You are welcome to create any layout that you would like for your dashboard. An example dashboard page might look something like the following.
Deploy your Flask app to Heroku.
- You can use the provided sqlite file for the database.
- Ask your Instructor and TAs for help!
The following task is completely optional and is very advanced.
- Adapt the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the Weekly Washing Frequency obtained from the route
/wfreq/<sample>
- You will need to modify the example gauge code to account for values ranging from 0 - 9.
- Update the chart whenever a new sample is selected
Use Flask API starter code to serve the data needed for your plots.
- Test your routes by visiting each one in the browser.
- Don't forget to
pip install -r requirements.txt
before you start your server. - Use
console.log
inside of your JavaScript code to see what your data looks like at each step. - Refer to the Plotly.js Documentation when building the plots.
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