mherradora/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Discovered public repositories for mherradora in the GitHub catalog.
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Interactive JS Charts from R
The examples for the book "Building Single-page Web Apps with Meteor"
Liberating Web Analytics. Star us on Github? +1. Piwik is the leading open alternative to Google Analytics that gives you full control over your data. Piwik lets you easily collect data from websites, apps & IoT and visualise this data and extract insights. We love Pull Requests!
Public repository.
Peer Assessment 1 for Reproducible Research
Boilerplate web app using Backbone.js, ExpressJS, node.js, MongoDB
dplyr and plyr specialised for remote MongoDB datastore
These are functions which I have used on my blog at tonybreyal.wordpress.com
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Peer Assessments 2 /Getting and Cleaning Data Course Project
Plotting Assignment 1 for Exploratory Data Analysis
Repository for Programming Assignment 2 for R Programming on Coursera
The Leek group guide to data sharing
Repository of the Data Science Specialization at Coursera.
Opa Application Framework for JavaScript
My default LAMP development stack for Vagrant
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
'Likes' y posts de candidatos elecciones 2014 en Costa Rica en Facebook.
Public repository.
R based twitter client
Fast n-dimensional filtering and grouping of records.
A JavaScript visualization library for HTML and SVG.
Multi-Dimensional charting built to work natively with crossfilter rendered using d3.js
ggplot2 + d3 = r2d3