Chart.js is an open source JavaScript charting library for the modern web, described as simple yet flexible. It supports eight animated and customisable chart types and renders on HTML5 Canvas across modern browsers, redrawing charts on window resize. Version 4.0 added a colors plugin and tree-shaking to reduce bundle size.
simple-statistics
Simple Statistics is a JavaScript implementation of descriptive, regression, and inference statistics. It is written in literate JavaScript with no dependencies and is designed to work in all modern browsers and in Node.js. The repository is published under an ISC license.
Features
- A JavaScript implementation of descriptive, regression, and inference statistics Source: github.com
- no dependencies, designed to work in all modern browsers (including IE) as well as in node.js Source: github.com
Links
Tags
-
0Chart.js is an open source JavaScript charting library for the modern web, described as simple yet flexible. It supports eight animated and customisable chart types and renders on HTML5 Canvas across modern browsers, redrawing charts on window resize. Version 4.0 added a colors plugin and tree-shaking to reduce bundle size.
-
0NCEI is a NOAA center that provides environmental data on historical weather, climate, ocean and magnetic field conditions. It maintains an archive of oceanic, atmospheric and geophysical data, archiving over 229 terabytes each month from over 130 observing platforms. NCEI is moving its data and applications to the cloud, which may cause temporary data access delays.
-
0
HTML widgets are R packages that produce interactive web visualizations, working like R plots. A line or two of R code produces a D3 graphic or Leaflet map. Widgets run at the R console and can be embedded in R Markdown reports and Shiny web applications. The page lists widget examples including Leaflet, dygraphs, Plotly and Highcharter, and describes composing dashboards with flexdashboard and linking widgets with crosstalk. New widgets can be developed by bridging R and JavaScript.
-
0, a pluggable architecture for data and image processing, which can.
-
0A membership program with a Udemy course on basic data concepts, weekly knowledge jams, career development tools and mentorship services. A limited-time membership is offered at $50 USD per year, cancellable anytime, and participants can join a LinkedIn community.
-
0Harvard Data Science applies AI to data analysis, extraction, visualization, or business intelligence.
Community notes
Reviews and discussion
No reviews yet
Be the first to share how this project worked for you.
Join the discussion
Sign in with a verified account to leave a review or join the discussion.
Sign in to review