Beautiful visualizations of how language differs among document types.

Data plotting library for Rust

🌝 Lottery prediction using GA+BF ANN+FL(GeneticAlogrithm+ArtificalNeuralNetwork+FuzzyLogicControl) based on SciPy/NumPy/matplotlib/R/SAS/TensorFlow/Keras

Show plotly graph in grafana panel

📊 Data visualization library for React based on D3

Plot in the terminal using braille dots.

Javascript Library for building Audiovisual Charts in D3

R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.

A python package for plotting animated and interactive bubble charts using Plotly

Present your data as an effective and compelling story

Simple responsive CSS scatter plot chart

Salary report visualization with D3.js 📊 💰

Beyond Outlier Detection: LookOut for Pictorial Explanation

Sonification of multivariate datasets - SuperCollider, Electron, React-Redux

Google Charts Extension for Yii 2

Spatial Data Analysis using different statistical methods

CSBB - Computational Suite For Bioinformaticians and Biologists

Source code for UIST 2017 paper "AirCode: Unobtrusive Physical Tags for Digital Fabrication". C++ Computational Camera Imaging code, and MATLAB robust decoding implementation.

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

Bash Script to help statistical tests of Multi-Objective Evolutionary Algorithms.

A basic introduction to `ggplot2` package in R created by Hadley Wickham

Tools for hexagonal binning (honeycomb plot) and visualisation.

Helpers functions for svg's in react https://grady-lad.github.io/react-svg-coordinates/

Relational Plot, Two Dimensional Plot, Scatter Plot, Pair Plot, Faceted Plot, Box Plot, Bar Graph, and Density Plot

Presentación y código para el taller sobre un workflow de datos

[MATLAB] An improved box plot that shows the data-points along with the median and the quartiles.

Create scatter plots with marginal density / box plots in jamovi and R

This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an ideal weather condition and find the nearest hotel.