josep2

library(plotly)

#Load Data
BabeRuth<-read.csv('babe.csv')

## Enter API Credentials
p <- plotly(username="Plotly UserName", key="Plotly Key")

##Give it a check with a random graph

josep2

#Load Necssary packages

library(plotly)

#Upload the CSV

pitchfork<-read.csv('pitchfork_review_data.csv')

##Make a Best New Music Set

josep2

## My first attempt at using Julia

## Load Packages we want to use

using Gadfly, RDatasets, GLM

## Now Load some data in

neuro = dataset("boot", "neuro")

josep2

##Load data

Data<-read.csv('twitter_followers.csv')

##Load necessary packages

library(plotly)

##Plotly credentials

josep2

##Load Necessary Packages

library(maps)
require(RCurl)
library(RgoogleMaps)
library(stringr)
library(plotly)
library(tm)
library(rJava)
library(Snowball)

josep2

##Necessary Packages
library(ggplot2)
library(scales)
library(ggthemes)
library(RCurl)
library(repmis)

#Load Data

FinURL <-"https://www.dropbox.com/s/jayd5vksbo1gf3w/freemason.csv"

josep2

### A quick plot of the popularity of "Moesha" in Plot.ly 

## Load The Package "Baby Names" 
library(babynames)


##Re-assign
This<-babynames

##Find all the Moesha entries 

josep2

var math = require('mathjs');

var c = math.select(3)
.add(17)
.multiply(13)
.subtract(6)
.done()
console.log(c); // 254

josep2

from bs4 import BeautifulSoup
import urllib
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium import webdriver

wd = webdriver.Firefox()
wd.get('https://www.dealchicken.com/Phoenix-az/27393')

josep2

##Necessary Packages
library(ggvis)
library(scales)
library(RCurl)
library(repmis)
library(lubridate)

#Load Data

FinURL <-"https://www.dropbox.com/s/jayd5vksbo1gf3w/freemason.csv"