Plotly for Rust

The most loved library for Bar, Line, Area, Pie, Donut, Stacked Bar, Population Pyramid, Radar, Bubble and Scatter charts in React Native. Allows 2D, 3D, gradient, animations and live data updates.

very fast scatterplots for R

Scalable WebGL-based scatter plot library build with Regl

A library of sampling algorithms

Visual is a Javascript library for data visualization developed by the Statistical Institute of Catalonia (Idescat). It is based on popular open source solutions. Visual offers a simple interface that encapsulates the complexity of these solutions for the most common chart types.

Constrained Lloyd Iteration for distributing 2D points

Application for data analysis and curve fitting

Better Log viewer for all Aftermarket ECUs

Functions for easily making publication-quality figures with matplotlib.

Interactive quality analysis for two-dimensional embeddings

Scatterd is a Python package for easy and fast creation of beautiful scatter plots.

Make interactive scatterplots of atomic orbitals and animate them.

Group-wise overlay of scatterplot combined with marginal distribution on the sides using Stata

This repository focuses on implementing Linear Discriminant Analysis (LDA) as a classifier on embedded scikit-learn datasets. The goal is to improve the model's performance on these datasets.

Data Visualizations

Tools for hexagonal binning (honeycomb plot) and visualisation.

Matplotlib Tutorial

A python package for plotting Evidence Gap Maps using Plotly

Introduction to Multivariate Data Visualization

htmlwidget for R wrapping 'regl-scatterplot' JavaScript library

No description provided.

Interactive visualization tool for exploring low-dimensional data embeddings.

NU Bootcamp Project 1 (Modules 7 & 8)

A scatterplot example with deck.gl and dynamic label collision settings

Vanilla JS deck.gl WebGPU-Scatterplot demo for performance testing

Visualization in Stata that displays how countries with the highest vulnerability to climage change have the lowest CO2 emissions.

Iris-Dataset-Prediction-using-Unsupervised-ML This project involves the analysis of the Iris dataset using Python. It includes code to determine the optimum number of clusters using the K-means clustering algorithm, visualizations such as scatter plot, pair plots and hist plots, and other insights into the dataset.

Animated scatterplot demonstrating the change in life expectancy over time.

The Board Game Data Explorer allows a user to view board game trends and top games based on user ratings as well as explore games in a 3D graph.