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cleaning-data-project

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data.table

R's data.table package extends data.frame. More info:

datascience

Data Science

datasciencecoursera

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-and-cleaning-data-project

learning-mongodb

Discovering and learning using the MongoDB database

m101p

M101P: MongoDB for Developers

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

tableau

Tableau Workbooks

test_db

a sample MySQL database with an integrated test suite, used to test your applications and database servers

tidydata

Smartphone data assignment for Coursera course "Getting and Cleaning data"

twitter

R based twitter client

twitter-sentiment-analysis

R shiny web application to scrape tweets based on user-defined search keyword and perform sentiment analysis of the tweets. Sentiment analysis of tweets consists of classifying tweets into emotion classes (i.e., anger, disgust, fear, joy, sadness and surprise) and also polarity classes (i.e., negative, neutral and positive) using naïve Bayes classifier. The tweets are scraped, classified into sentiment classes and visualized in R using twitteR, sentiment and ggplot2 packages, respectively.

twitter-sentiment-mining

A project to mine sentiment from tweets using a bag of words approach.