D

data analysis

Simulation set-ups and analysis scripts for the BINGO experiment

Cluster-concat is a pipeline that auto-extracts features from video clips, places them on an Endel-style grid, groups them by nearby BPM, and generates ffmpeg concat lists. It also includes X (Twitter) re-encode steps, so you can drop in a bunch of clips and get concatenated videos almost fully automatically.

A dashboard to analyze the open-source Drupal community. https://drupal-community.gitlab.io/dashboard

Data: Inception to Publication & Beyond

This is a resource for all questions related to data sharing, collaboration, management, and publication.

Fundamental theory and practice in Machine Learning (ML) and Data Science (DS). 🧮

Process UrT gameplay to gather distance stats for Game Life Balance: https://game-life-balance.com

Small toolkit for reading, analysing, visualizing and exporting last.fm scrobble data.

A project for book titled "Statistical Methods for Educational Research: An R-Based Approach"

The present book came out of writing down my own experiences with educational research and tinkering with R. Though there are several excellent texts that cover statistics with R, I thought the having examples from educational research will help the scholars who are just begining their journey towards research.

There are tasks every now and then which can help in understanding concepts behind the computations.

Hope this book helps!

Tracks and heatmaps using the GPS tracks.

TRY OUT THE GUI: https://stressmodels.streamlit.app/

Companion repository to the paper with the same title.

This projects exposes the modern form of slavery in capitalism, and this was achieved using employee satisfaction data, it has come to the conclusion that the best members with low social skills are rewared with more work

A simple library to analyze data (with McCode and Phonons/DFT hooks).

This software computes the electrical energy requirements of a fleet of vehicles. It also determines how much of this energy can be offset by renewable energy. It does all this by analyzing the fleet's GPS traces and applying EV and PV models. Please contact us if you require the source code. Contact details are provided on our project website: 🔗 www.ev-fleet-sim.online

CoNI is a practical R package for the unsupervised integration of numerical omics datasets. The tool is based on partial correlations to identify putative confounding variables for a set of paired dependent variables. CoNI combines two omics datasets in an integrated, complex hypergraph-like network, represented as a weighted undirected graph, a bipartite graph, or a hypergraph structure. These network representations form a basis for multiple further analyses, such as identifying priority candidates of biological importance or comparing network structures dependent on different conditions.

A toolkit for processing data on intruder segregation in bedload transport.