Goal:
Using data on sample's microbes living in their belly button, create interative visualization that interpret information about each sample.
part I:
- Query data from SQL to create interative selection bars and create interative visualization for each sample.
- Starting from python, work on html, js, and css to develop fully functioning web, both front and back end.
part II:
- Use heroku's PostgreSQL and load data there for it can be queried. Data source:http://robdunnlab.com/projects/belly-button-biodiversity/
- Deploy the app
Why:
- This was a homework from data analytics bootcamp however I went beyond to create additional gauge chart and improved css styling and implemented/corrected bootstrap grid system.
Programs and Libraries used:
- Main coding: Python, Flask, SQLalchemy,
- Visualization: javascript(d3, plotly(svg)), css3, html5, bootstrap4
- Database: PostgreSQL
Link to app: https://haneulkim-belly-button.herokuapp.com/
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