📊 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 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

Interactive geovisualizations of NY cancer data using Plotly

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

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.

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

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

DataViz in Python

This is an Android app that takes the data about student groups and shows bar charts depicting the student data distribution.

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

Pharmaceutical company data visualization

📊 A d3 visualization for tv series words-per-hour analysis

Analysis of a pharmaceutical drug study with aim to reduce tumors

The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…