Full-Stack Data Analysis to Build an Interactive Dashboard Exploring the Belly Button Biodiversity DataSet Using Plotly.js, Flask and Heroku
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Updated
Dec 8, 2022 - JavaScript
Full-Stack Data Analysis to Build an Interactive Dashboard Exploring the Belly Button Biodiversity DataSet Using Plotly.js, Flask and Heroku
Built an interactive dashboard using JavaScript, Plotly, D3.js, CSS, and Bootstrap.
An interactive dashboard to explore the Bacteria Biodiversity dataset, using Plotly.js to create visualizations
Interactive Dashboard exploring the Belly-Button-Biodiversity Data | Live on Heroku
A demo application showcasing using LightningChart JS to display Bubble chart.
Dashboard visualizing bacterial population samples. HTML, JavaScript.
This project visualized bacteria data from volunteers' belly button with plotly, which included drop down menu, bar chart, gauge chart, and bubble chart show each volunteer's belly button biodiversity.
udacity project
Belly Button Biodiversity
Web dashboard plotting data on belly button biodiversity
An interactive dashboard to explore the Belly Button Biodiversity dataset and to display individuals metadata using HTML, Javascript, json and D3.
A CSS time series bubble chart
O VisSE é ferramenta web – o VisSE, Visualization for Search Engine – que disponibiliza técnicas de visualização para a análise exploratória de resultados de pesquisas em motores de busca. Essas técnicas foram elaboradas usando a biblioteca d3.js, e tem como objetivo servir de apoio ao pesquisador o permitindo que utilize visualizações para apoi…
Python Pandas & Matplotlib Analysis of Ride Sharing Data and Pharmaceutical Data
A minimalistic bubble data visualization of Hans Florine's climbs on the Nose
Belly Button Biodiversity
☃ Python lib to fetch CI statistics from Travis, CircleCI, Jenkins, or Bamboo
A set of hight customizable charts
A D3.js data visualization that explores the conservation status of tigers
RU Data Analytics Coding Bootcamp - JS Visualizations/Dashboards Assignment
Add a description, image, and links to the bubble-chart topic page so that developers can more easily learn about it.
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