Plotly for Rust

A repository for football analytics

A tool for visualising geographical data in systematic maps

Sentiment analysis tool aggregating world news, generating indices and displaying it all on a 3D globe.

Python course for 2nd year NLP students at NRU HSE, 2017-2018

This repository contains the latest stable version of XMapTools including binaries for macOS and Windows.

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

EDA, manipulating raw data, drawing conclusions from plots on Netflix data.

This project helps in monitoring the performance of your LinkedIn posts over a specified amount of time by the user and analyzes their engagements, impressions, and the percentage of engagement per impression.

Analysis following Giddy et al - 2020, Stirring of sea ice meltwater enhances submesoscale fronts in the Southern Ocean

Sentiment analysis movie di twitter menggunakan database imdb_labelled.txt https://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentences dan algoritma multinomial naive bayes di python 3.6.5

Analyzing Movie Revenues

Which visual methods can be designed to facilitate the analysis and synthesis of video collections from the web? How can these methods be communicated so that they can be replicated by other researchers? In response to these questions comes Video summarisation toolkit, an opensource platform created to collect and communicate nine different meth…

This repo shows some data viz I created with R.

Medieval Irish Narrative Visualised: a Network of Characters from the Ulster Cycle of the Early Irish Tales.

Data Analysis: This contains the code and data files for a data analysis project focused on coffee sales. The project explores various aspects of coffee sales, including order trends, customer behavior, popular coffee types, and more.

Use cartographic variables to classify forest categories

Given the large number of movies and series available on Netflix, it is a perfect opportunity to dive into the entertainment industry with an analysis of Netflix content durations. This analysis aims to understand trends in content duration on the Netflix platform since 2011 through 2020.

Experiments on clustering medieval Irish texts

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.