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library(shiny)
library(rCharts)

shinyServer(function(input, output) {
  
  output$timelineDemo <- renderChart({
    
    ### Copied from https://github.com/ramnathv/sachin100s
    require(XML)
    require(RCurl)

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Frequent Sequence Mining
========================================================

```{r knitr-options}
library(knitr)
options(width=200, digits=2)
opts_chunk$set(comment = "", warning = FALSE, message = FALSE, echo = TRUE, tidy = FALSE, size="small")
```

## Data preparation

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package twitter_loop;

import com.mongodb.BasicDBObject;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBCursor;
import com.mongodb.Mongo;
import com.mongodb.MongoException;
import java.net.UnknownHostException;
import java.util.List;

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# Makefile used to compile job application documents from MarkDown to PDF or ODT
# Bodong Chen

## Files
SRC = $(wildcard *.md)
PDFS = $(SRC:.md=.pdf)
ODTS = $(SRC:.md=.odt)

## Targets
all:	$(PDFS)

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# load required libraries
library(tm)
library(ggplot2)
library(lsa)

# 1. Prepare mock data
text <- c("transporting food by cars will cause global warming. so we should go local.",
          "we should try to convince our parents to stop using cars because it will cause global warming.",
          "some food, such as mongo, requires a warm weather to grow. so they have to be transported to canada.",
          "a typical electronic circuit can be built with a battery, a bulb, and a switch.",

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'''
@author Michael J Bommarito II
@date Feb 26, 2011
@license Simplified BSD, (C) 2011.

This script demonstrates how to use Python to archive historical tweets.
'''

import codecs
import csv

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#@author Michael J Bommarito
#@contact michael.bommarito@gmail.com
#@date Feb 20, 2011
#@ip Simplified BSD, (C) 2011.
# This is a simple example of an R script that will retrieve
# public tweets from a given hashtag.

library(RJSONIO)

# This function loads stored tag data to determine the current max_id.

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#------------------------
# Load libraries

require(stringr)
require(RCurl)
require(ggplot2)

#------------------------

# Read and return Google Spreadsheet as csv