hsssajx/flask
A microframework based on Werkzeug, Jinja2 and good intentions
Discovered public repositories for hsssajx in the GitHub catalog.
A microframework based on Werkzeug, Jinja2 and good intentions
Python module for bibliographic network analysis.
R package to create interactive d3 visualization of LDA topic model
Data Server for Topic Models
animated bubble charts in D3
The InteractiveVis project, funded by JISC from May to September 2012, aims to allow easy creation of interactive visualisations for geospatial and network data using native web technologies (HTML5, CSS3, and SVG) and allow these visualisations to be self-contained so that they may run entirely offline in ebooks and other media. The project will survey existing solutions and build the necessary components to fill in missing features and smooth over incompatibilities in between existing libraries. The project will further provide online hosted wizards to allow for the easy creation of these interactive visualizations. All code is open source and released under the GNU GPL v3 license.
Social network experiments
Random-network experiment
Public repository.
The HTML Presentation Framework
adapt the d3 showreel example to get data from R
experiments with d3 and r integration with shiny
Testbox for Shiny package from RStudio
Easy interactive web applications with R
Data Visualization Course
Public repository.
It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.
A modern map design studio.
TimelineJS: A Storytelling Timeline built in JavaScript.
4digits is a guess-the-number puzzle game. It's called Bulls and Cows, and in China people simply call it Guess-the-Number. The game's objective is to guess a four-digit number in 8 times using as less time as possible.
Computational Social Science, Applied Mathematics, Columbia University (Spring 2013)
A JavaScript visualization library for HTML and SVG.
An introduction of JavaScripts and Github for students at Columbia QMSS's Data Visualization class. Briefing the functions provided by github and js. I did the presentation using a non-linear Impress.js library. I'll keep updating the materials and resources.