Repository files navigation

In this assignment, you will build an interactive dashboard to explore theBelly 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.

  • Usesample_values as the values for the PIE chart

  • Useotu_ids as the labels for the pie chart

  • Useotu_labels as the hovertext for the chart

  

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

  • Useotu_ids for the x values

  • Usesample_values for the y values

  • Usesample_values for the marker size

  • Useotu_ids for the marker colors

  • Useotu_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.

• 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 fromhttps://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 topip install -r requirements.txt before you start your server.

• Useconsole.log inside of your JavaScript code to see what your data looks like at each step.

• Refer to thePlotly.js Documentation when building the plots.

Data Boot Camp © 2018. All Rights Reserved.