Last active
August 29, 2015 14:15
-
-
Save corynissen/f75ecae388f81be13436 to your computer and use it in GitHub Desktop.
SO question 28423302
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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", | |
"2014-12-22", "2014-12-23", "2014-12-24", "2014-12-25", "2014-12-26", | |
"2014-12-27", "2014-12-28", "2014-12-29", "2014-12-30", "2014-12-31" | |
), class = "factor"), sessions = c(1932L, 1828L, 2349L, 8192L, | |
3188L, 3277L, 2846L, 2541L, 5434L, 4290L, 2059L, 2080L, 2111L, | |
3776L, 1989L, 1844L, 3641L, 1283L, 1362L, 1568L, 2882L, 1212L, | |
957L, 851L, 928L, 1435L, 1115L, 1471L, 1128L, 1022L, 768L), id = 1:31), .Names = c("date", | |
"sessions", "id"), row.names = c(NA, -31L), drop = TRUE, class = c("tbl_df", | |
"tbl", "data.frame")) | |
labelsF = c("Directo", "Email", "Referencias", "SEO", "Social Media", "Campañas", "Adwords") | |
Visitas_Por_Fuente$date <- as.Date(Visitas_Por_Fuente$date) | |
#ComentariosDic <- read.csv("D:\\RCoursera\\Star-App-2\\ComentariosDic2014.csv",header = TRUE, sep = ";") | |
#ComentariosDic$date <- as.Date(ComentariosDic$date) | |
shinyServer(function(input, output){ | |
# Filter the data based on user selection month | |
data <- reactive({ | |
subset(Visitas_Por_Fuente, date >= as.character(input$dates[1]) & | |
date <= as.character(input$dates[2])) | |
}) | |
mysessions <- function(x) { | |
if(is.null(x)) return(NULL) | |
#notice below the id column is how ggvis can understand which session to show | |
EvolucionVisitas <- data() | |
row <- EvolucionVisitas[EvolucionVisitas$id == x$id, ] | |
#prettyNum shows the number with thousand-comma separator | |
paste0("Sessions:", " ",prettyNum(row$sessions, big.mark=",",scientific=F)) | |
} | |
x_axis <- reactive({ | |
df <- data() | |
c(as.character(df$date[1]), | |
as.character(df$date[round(length(df$date)/2,0)]), | |
as.character(tail(df$date, n=1))) | |
}) | |
data %>% | |
ggvis(x= ~date, y= ~sessions, key := ~id) %>% | |
layer_points() %>% | |
add_tooltip(mysessions ,"hover") %>% | |
layer_paths() %>% | |
#add_axis("x", value=x_axis) %>% | |
#add_axis("x", | |
#value=c(as.character(data()$date[1]),as.character(data()$date[round(length(data()$date)/2,0)]), | |
# as.character(tail(data()$date, n=1)))) %>% | |
bind_shiny("EvolucionVisitas") | |
}) |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
library(shiny) | |
library(ggvis) | |
# Define the overall UI | |
shinyUI( | |
# Use a fluid Bootstrap layout | |
fluidPage( | |
# Give the page a title | |
br(), | |
br(), | |
titlePanel("Visitas por fuente"), | |
# Generate a row with a sidebar | |
sidebarLayout( | |
# Define the sidebar with one input | |
sidebarPanel( | |
dateRangeInput("dates", label = h3("Date range"), | |
start = "2014-12-01", end = "2014-12-31") | |
), | |
mainPanel( | |
tabsetPanel( | |
#tabPanel('Visitas por fuente', | |
# plotOutput("VisitasFuente")), | |
tabPanel('Evolución de las visitas', | |
ggvisOutput("EvolucionVisitas")) | |
#tabPanel('Comentarios', | |
# dataTableOutput("Comentarios")) | |
) | |
) | |
) | |
)) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment