Experiments with the Wolfram Language and the Plotly javascript library
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Updated
Dec 12, 2017
Experiments with the Wolfram Language and the Plotly javascript library
Building JavaScript plots [Plotly,Chart] based on life span stock data from Quandl API for Apple, IBM, Microsoft and Intel. Technologies => JavaScript, Plotly.js, Chart.js, Python, Jupyter, Flask, MongoDB, HTML/CSS, Heroku PHP deployment
A mini-project to simulate Lissajous figures depending on frequency ratio (no real scientific approach, just drawing). The project is built with JS, plotly.js, webpack. The animation displays changes of figure depending on the phase shift in time. User can set the frequencies, speed up the animation, save plots at any point of the animation and …
Full-stack template web application using Python-Flask, React.js/REDUX and sqlite3 database placeholder - Ideal starting point for data science/visualisation projects that integrate IoT devices, machine/deep learning and cloud/web based 'single-page' interfaces for responsive control & analysis.
[Personal Project] - Project:- custom-charts-clone, Built with love
Interactive javascript dashboard for Belly Button Bacteria
A web app that plots viewer stats and irc message counts on a graph
Plotly: Getting Started and First Impressions
A simple student dashboard app with login, student details's graph and search functionality
Data visualization 📊 on React ⚛ using Plotly.js 📶
Full stack project to develop an interactive dashboard using html, plotly.js, and flask. Explores the Bellybutton Biodiversity dataset.
Building a webpage using Plotly.js, a Javascript visualization library to plot data from external files and/or web-sources into a bar, pie or scatter plot chart. Utilized functional programming and methods to manipulate the data to achieve results.
Project for 40.319 Statistical and Machine Learning Spring 2022. A teaching project about creating optimisers. This webpage serves as a hook to that end.
Built an interactive dashboard that catalogs the microbes that colonize human navels
Full-stack data-driven web application for visualizing datasets about bacterial samples. Data was collected and filtered from a SQLite database using Flask and Python, then used to drive visualizations using Plotly.
Plotly and friends
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