FL Chart is a highly customizable Flutter chart library that supports Line Chart, Bar Chart, Pie Chart, Scatter Chart, Radar Chart and Candlestick Chart.

Beautiful, open source, WebGPU-based charting library

Beautiful visualizations of how language differs among document types.

📊 Data visualization library for React. Maintained by @goodcodeus.

Plot in the terminal using braille dots.

Data plotting library for Rust

Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

:chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.

:full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Scalable WebGL-based scatter plot library build with Regl

Show plotly graph in grafana panel

Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.

Allocates text labels in matplotlib

Present your data as an effective and compelling story

Javascript Library for building Audiovisual Charts in D3

High-performance data visualization library for Flutter with native rendering and cross-platform support

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

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

Salary report visualization with D3.js :bar_chart: :moneybag:

Routines for exploratory data analysis.

Beyond Outlier Detection: LookOut for Pictorial Explanation

Simple responsive CSS scatter plot chart

Jupyter Scatter Tutorial (that was first presented at SciPy '23)

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

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

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

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

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

Data Visualization in Python using Matplotlib, Seaborn and Plotly Express