An interactive visual dashboard showing bacterial biodiversity in bellybuttons using javascript and plotly.
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Updated
Nov 6, 2020 - JavaScript
An interactive visual dashboard showing bacterial biodiversity in bellybuttons using javascript and plotly.
Generating bubble charts from your data
An interactive dashboard to explore the Bacteria Biodiversity dataset, using Plotly.js to create visualizations
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.
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.
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
This project analyzes ride share app data. Demonstrates use of Python, Matplotlib, reading csv files, converting to dataframes, performing aggregate functions, and creating bubble plot and pie chart visualizations of data.
A minimalistic bubble data visualization of Hans Florine's climbs on the Nose
Belly Button Biodiversity
Using a dataset of bacteria present in patient samples and plotly, a dashboard that updates demographic, bar, gauge and bubble chart visualizations for each patient.
A python3 script for bubble chart generators with a csv file
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.
Bubble charts with click able urls using plotly and python
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