A dashboard of belly button micro-organisms, developed using Python, Flask, Plotly, HTML, JavaScript, SQLAlchemy

Built an interactive dashboard to explore the Belly Button Biodiversity DataSet.

Used Plotly.js to build interactive charts for dashboard.

• Create a PIE chart that uses data from your samples route (/samples/<sample>) to display the top 10 samples.

  • Used sample_values as the values for the PIE chart

  • Used otu_ids as the labels for the pie chart

  • Used otu_labels as the hovertext for the chart

  

• Created a Bubble Chart that uses data from samples route (/samples/<sample>) to display each sample.

  • Used otu_ids for the x values

  • Used sample_values for the y values

  • Used sample_values for the marker size

  • Used otu_ids for the marker colors

  • Used otu_labels for the text values

  

• 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.

• 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.

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>

• 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 plots.