tcash21

library(shiny)
library(ggplot2)
library(shinyIncubator)

# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output, session) {

  getData <- function(){
    x <- seq(Sys.Date() - (input$nobs - 1), Sys.Date(), by="days")
    y <- rnorm(input$nobs, 5, 100)

tcash21

.chart_container {
  position: relative;
  display: inline-block;
  font-family: Arial, Helvetica, sans-serif;
}
.rChart {
  display: inline-block;
  margin-left: 40px;
}
.yAxis {

tcash21

.chart_container {
  position: relative;
  display: inline-block;
  font-family: Arial, Helvetica, sans-serif;
}
.rChart {
  display: inline-block;
  margin-left: 40px;
}
.yAxis {

tcash21

.chart_container {
  position: relative;
  display: inline-block;
  font-family: Arial, Helvetica, sans-serif;
}
.rChart {
  display: inline-block;
  margin-left: 40px;
}
.yAxis {

tcash21

.chart_container {
  position: relative;
  display: inline-block;
  font-family: Arial, Helvetica, sans-serif;
}
.rChart {
  display: inline-block;
  margin-left: 40px;
}
.yAxis {

tcash21

require(shiny)
require(rCharts)

inputChoices <- c("A", "B", "C", "D")
adf <- data.frame(val1=sample(inputChoices), val2=sample(inputChoices))


shinyServer(function(input, output, session){
      
  	input2Choices <- reactive({

tcash21

require(shiny)
require(rCharts)

inputChoices <- c("A", "B", "C", "D")
adf <- data.frame(val1=sample(inputChoices), val2=sample(inputChoices))


shinyServer(function(input, output, session){
    
  	input2Choices <- reactive({

tcash21

.chart_container {
  position: relative;
  display: inline-block;
  font-family: Arial, Helvetica, sans-serif;
}
.rChart {
  display: inline-block;
  margin-left: 40px;
}
.yAxis {

tcash21

require(shiny)
require(rCharts)

inputChoices <- c("A", "B", "C", "D")

shinyServer(function(input, output, session){
  	
  	input2Choices <- reactive({
  		inputChoices[-grep(input$input1, inputChoices)]
  	})

tcash21

import csv
import re
import sys
import urllib2
from bs4 import BeautifulSoup

page = urllib2.urlopen("http://fantasyfootballcalculator.com/completed_drafts.php?format=standard").read()
soup = BeautifulSoup(page)

#print soup.prettify()