Github network of students of IIT (BHU), Varanasi
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Updated
Dec 15, 2017 - Python
Github network of students of IIT (BHU), Varanasi
A double-coding evaluation app among various visual variables for information visualization
This Project was developed by me during my Coursera's- Python for Everybody Specialization.
Interactive dashboard to explore belly button biodiversity by sample in the dataset
FTC Scouting Site for Relic Recovery
Still waters run deep, that's why we need to visualize Wikipedia article contest results
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.
Using Plotly.js to build an interactive dashboard to explore the Belly Button Biodiversity DataSet.
Scraping data to gain performance-insights for Handball Teams. Data is scraped automatically from handball.ch, then visualized interactively with d3.js. Data is updated on Wednesdays, Saturdays and Sundays between 10:00 and 23:00 at 45 minute intervals.
A visuallization for cognates in various languages and how they spread
Association ruled based networks using graphical Hypergeometric Networks.
Uses your app logs to visualize how the data moves between the code, database, HTTP services, message queue, external storages etc.
Data visualizations projects that I have worked on including a start-up company analysis in Observable and a Carleton College OCS analysis using ArcGIS and Wordpress.
Explore dynamic data insights with our interactive D3.js dashboard. This repository offers a comprehensive Django-based framework for visualizing complex datasets, enabling users to uncover patterns and trends through customizable filters and stunning visual representations.
These examples on Interactive Data Visualization in the web browser using Flask RESTful API and D3.js are compiled with some modifications from the book "Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data" by Kyran Dale, published by O'Reilly Media in 2023.
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