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

FusionCharts JavaScript Charting library. Over 95+ charts and 1,400+ maps to choose from, with integrations available for all popular JavaScript frameworks & back-end programming languages.

Personalized graphs featuring customizable options for React Native app 📈

Unix terminal histograms, sequencing depth and bar charts (hissyfit). Small data/file munge, morph, find and count scripts/functions in various languages, mostly bash and perl. For apparix see the apparix repository that is a sibling to this one.

Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors

Marimekko and bar mekko graphics in R

Predictive Data Mining for Health Insurance data

A data visualization case study portraying plastic waste in the United States.

This is a Repository made for Coursera Assignments, and Tutorials which includes many interesting plots such as waffle charts, folium charts, chloropeth charts etc.

Analogue bar charts using terminal box-drawing characters

d3 charts https://kre1z0.github.io/d3-charts/

Interactive geovisualizations of NY cancer data using Plotly

A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, dragging and animations.

Simplify time-consuming coding for the data scientist. Create beautiful charts, pandas transformers, and find the best model with the best parameters for your data.

🔴 Credit Risk Prediction 🔴 A machine-learning–based analysis designed to predict whether a loan applicant is likely to default. Using a refined Credit Risk Dataset, I cleaned, processed, and visualized key financial features such as income, loan amount, and credit history. Multiple classification models were trained with accuracy.

Bar chart race visualization for MATLAB (动态条形直方图)

Data Visualization (DSC 530/602-02) Assignment 2

📈 A modular, multi-notebook visualization suite built with Plotly and Streamlit, showcasing advanced charting techniques, subplot dashboards, z-score bands, regression overlays, and app-based exploration. Ideal for mastering interactive data storytelling and production-ready Python workflows.

Discover how to build a layered column chart using the .NET MAUI Toolkit to visualize real-world survey data from the European accommodation sector. This project demonstrates how to represent various operational challenges across countries using multiple layers in a column chart with rich customization features.

Evaluating player distances to the returner at moment of punt receive