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A curated list of awesome ggplot2 tutorials, packages etc.
R package that helps create and export ggplot2 charts in the style used by the BBC News data team
RStudio Cheat Sheets
A library for creating complex UpSet plots with ggplot2 geoms
:link: Methods for Correlation Analysis
đ Hand drawing style charts library for Python
Python æ°æźç§ćŠćŻŒèźș | Data Science Introduction with Python
On top of spaghetti, all covered in cheese....
All R codes for the guide "Doing Meta-Analysis in R"
Extracts data points from images of graphs
table farming
:books: Freely available programming books
đ« Create Chicklet (Rounded Segmented Column) Charts
Extended tools for correlation analysis and visualization.
Shiny gadget for labeling points on ggplot
ggplot2 extension inspired by GraphPad Prism
Enhancing `ggplot2` plots with statistical analysis đđšđŁ
A 'ggplot2' implement of Venn Diagram. see https://venn.bio-spring.info/
Grazing effects are multi-trophic through mediating plant composition: a meta-analysis
matplotlib: plotting with Python
A meta-analysis package for R
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
Data Analytics with R, instructed by Xinbo Ai, at Beijing University of Posts and Telecommunications
Dynamic Documents for R
An open access book on scientific visualization using python and matplotlib
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. đđđ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google â€ïž Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.