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Full-Stack Data Analysis to Build an Interactive Dashboard Exploring the Belly Button Biodiversity DataSet Using Plotly.js, Flask and Heroku
Full-Stack Data Analysis to build an interactive dashboard exploring the Belly Button Biodiversity Dataset using Plotly.js, Flask and Heroku
Use Plotly.js to build interactive charts for the dashboard
/samples/<sample>) to display the top 10 samples
sample_values as the values for the Pie Chartotu_ids as the labels for the Pie Chartotu_labels as the hovertext for the Pie Chart/samples/<sample>) to display each sample
otu_ids for the x valuessample_values for the y valuessample_values for the marker sizeotu_ids for the marker colorsotu_labels for the text valuesDisplay the sample metadata from the route /metadata/<sample>
Update all of the plots any time that a new sample is selected
Adapt the Gauge Chart from https://plot.ly/javascript/gauge-charts/ to plot the Weekly Washing Frequency obtained from the route /wfreq/<sample>
Deploy the Flask App to Heroku
https://belly-button-biodiversity2019.herokuapp.com/
Use Flask API code to serve the data needed for the plots
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PetraLee2019 /
Full-Stack Data Analysis to Build an Interactive Dashboard Exploring the Biodiversity Dataset