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This project analyzes bellybutton biodiversity data. Created full-stack application with html, js, css, python and sqlite files. Used Plotly.js to create pie and bubble charts.

Jupyter Notebook 80.33% Python 8.07% JavaScript 6.86% HTML 4.73%
dashboard full-stack-application html javascript css python plotlyjs pie-chart bubble-chart

biodiversity-interactive-dashboard's Introduction

Background

In this assignment I built an interactive dashboard using Plotly.js and a flask application to explore a Belly Button Biodiversity DataSet.

Step by Step

  • Used Plotly.js to build interactive charts for the dashboard.

    • Created a pie chart that uses data from the 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 the 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.

    • Displayed the sample metadata from the route /metadata/<sample>

    • Displayed each key/value pair from the metadata JSON object somewhere on the page.

    • Updated all of the plots any time that a new sample is selected.

biodiversity-interactive-dashboard's People

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