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<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.css'> | |
<script src='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.js' type='text/javascript'></script> | |
<script src='https://rawgithub.com/leaflet-extras/leaflet-providers/gh-pages/leaflet-providers.js' type='text/javascript'></script> | |
<script src='http://harrywood.co.uk/maps/examples/leaflet/leaflet-plugins/layer/vector/KML.js' type='text/javascript'></script> | |
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library("stringr") | |
library("rMaps") # devtools::install_github('ramnathv/rMaps') | |
# download data from Austin open data portal - powered by socrata | |
ed <- read.csv("http://data.austintexas.gov/api/views/rka3-mjzi/rows.csv", | |
stringsAsFactors=FALSE) | |
# get lat, lng, and address separated out from Address field | |
ed$latlng <- substring(ed$Address, regexpr("\\n\\(", ed$Address)+2, nchar(ed$Address)) | |
ed$lat <- substring(ed$latlng, 1, regexpr(",", ed$latlng)-1) |
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<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.css'> | |
<script src='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.js' type='text/javascript'></script> | |
<script src='https://rawgithub.com/leaflet-extras/leaflet-providers/gh-pages/leaflet-providers.js' type='text/javascript'></script> | |
<script src='http://harrywood.co.uk/maps/examples/leaflet/leaflet-plugins/layer/vector/KML.js' type='text/javascript'></script> | |
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library(shiny) | |
library(ggvis) | |
Visitas_Por_Fuente <- structure(list(date = structure(1:31, .Label = c("2014-12-01", | |
"2014-12-02", "2014-12-03", "2014-12-04", "2014-12-05", "2014-12-06", | |
"2014-12-07", "2014-12-08", "2014-12-09", "2014-12-10", "2014-12-11", | |
"2014-12-12", "2014-12-13", "2014-12-14", "2014-12-15", "2014-12-16", | |
"2014-12-17", "2014-12-18", "2014-12-19", "2014-12-20", "2014-12-21", |
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df1_number <-sample(seq(1,20,0.01),20,replace = T) | |
df2_number <-sample(seq(1,20,0.01),20,replace = T) | |
df1_number2 <-sample(seq(1,5,0.01),20,replace = T) | |
df2_number2 <-sample(seq(1,5,0.01),20,replace = T) | |
df1 <- data.frame(name = rep(letters[1:4],each = 5), number = df1_number, number2 = df1_number2) | |
df2 <- data.frame(name = rep(letters[1:4],each = 5), number = df2_number, number2 = df2_number2) | |
axis_vars_y <- c("number" = "number", "number2" = "number2") |
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library(RODBC) | |
shinyServer(function(input,output){ | |
output$txt1<-renderTable({ | |
input$b1 | |
if(input$b1==0 )return() | |
isolate({ | |
con<-odbcConnect("sample",uid="amma",pwd="amma") | |
sqlTables(con) | |
# sqlQuery(con,"insertintosampvalues('",input$text1,"',",input$text2,")"); |
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<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.css'> | |
<script src='http://cdn.leafletjs.com/leaflet-0.5.1/leaflet.js' type='text/javascript'></script> | |
<script src='https://rawgithub.com/leaflet-extras/leaflet-providers/gh-pages/leaflet-providers.js' type='text/javascript'></script> | |
<script src='http://harrywood.co.uk/maps/examples/leaflet/leaflet-plugins/layer/vector/KML.js' type='text/javascript'></script> | |
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recId|searchText|country | |
0001|Invalidenstraße 116 10115 Berlin|DEU | |
0002|Am Kronberger Hang 8 65824 Schwalbach|DEU | |
0003|425 W Randolph St Chicago IL 60606|USA | |
0004|One Main Street Cambridge MA 02142|USA | |
0005|200 S Mathilda Ave Sunnyvale CA 94086|USA |
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# trying to create a graph as seen here: https://twitter.com/Cnnct2me/status/522429612089819136 | |
df <- data.frame(time=1:100, why=runif(100, 72, 83)) | |
ggplot(df) + | |
geom_ribbon(aes(x=time, ymin=72, ymax=why), color="white", fill="white") + | |
coord_cartesian(ylim=c(70, 85)) + | |
theme(panel.background = element_rect(fill = '#3FE874'), | |
plot.background = element_blank(), | |
panel.grid.major = element_blank(), |
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library(shiny) | |
library(RCurl) | |
shinyServer(function(input, output, session){ | |
urls <- reactiveValues() | |
if(file.exists("data.Rdata")){ | |
load("data.Rdata") | |
urls$url <- df$url | |
urls$isbn <- df$isbn |