From c203bfc7d11fb2740d76c9822f5f7594dccca663 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 20 Jul 2016 20:00:05 +0200 Subject: [PATCH 01/18] starting the addiition of calendarChart --- global.R | 4 +++- server.R | 33 +++++++++++++++++++++++++++++++++ ui.R | 6 +++++- www/CustomIntro.js | 2 +- www/test.png | Bin 0 -> 188020 bytes 5 files changed, 42 insertions(+), 3 deletions(-) create mode 100644 www/test.png diff --git a/global.R b/global.R index 55d228d..584578c 100644 --- a/global.R +++ b/global.R @@ -7,6 +7,7 @@ library(lubridate) library(leaflet) # For now : devtools::install_github("RCura/leaflet") library(ggthemes) library(ggmap) +library(stringi) options(shiny.maxRequestSize = 8*1024^2) @@ -45,7 +46,8 @@ formatData <- function(rawData, tz){ mutate(annee = year(Time)) %>% mutate(heure = hour(Time)) %>% mutate(minute = minute(Time)) %>% - mutate(dhour = hour(Time) + minute(Time) / 60 + second(Time) / 3600) + mutate(dhour = hour(Time) + minute(Time) / 60 + second(Time) / 3600) %>% + mutate(monthWeek = stri_datetime_fields(Time)$WeekOfMonth ) if (nrow(formattedData) > 50E3){ formattedData <- formattedData %>% sample_n(size = 50E3) diff --git a/server.R b/server.R index cdfe6aa..96b335a 100644 --- a/server.R +++ b/server.R @@ -383,6 +383,39 @@ shinyServer(function(session, input, output) { } }) + output$test <- renderPlot({ + calendarBaseData <- locationData$base %>% + group_by(annee, moisN, monthWeek, jourN) %>% + summarise(count = n()) %>% + mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) + + + calendarPlot <- ggplot(calendarData, aes(monthWeek, jourN, fill = count)) + + geom_tile(colour="#333333", alpha = 0.8) + + facet_grid(annee~moisN) + + scale_fill_gradient( guide = FALSE, high="#43a2ca",low="#333333") + + scale_x_discrete("") + + xlab("") + + ylab("") + + theme_timelineEDB() + + + if (length(locationData$geofiltred) > 1) { + + filtredData <- locationData$geofiltred %>% + group_by(annee, moisN, monthWeek, jourN) %>% + summarise(count = n()) %>% + mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) + + calendarPlot <- calendarPlot + + geom_tile(data = filtredData,colour="#333333", alpha = 0.8) + } + + calendarPlot + + }, bg = "transparent") + + }) diff --git a/ui.R b/ui.R index 9131399..07923d9 100644 --- a/ui.R +++ b/ui.R @@ -99,6 +99,10 @@ shinyUI( ) ) ) - ) + ), + checkboxInput("morePlots", "Plus de graphiques"), + conditionalPanel("input.morePlots", fluidRow( + column(8, plotOutput("test", brush = brushOpts(id = "calendar_brush", direction = "y"))) + )) ) ) diff --git a/www/CustomIntro.js b/www/CustomIntro.js index 07952c3..ac63174 100644 --- a/www/CustomIntro.js +++ b/www/CustomIntro.js @@ -50,7 +50,7 @@ function startIntro(){ intro: "Bienvenue dans l'application TimeLine Exploratory DashBoard!" }, { - intro: "Ici, on explique l'objectif" + intro: 'Ici, on explique l\'objectif
Test image :
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z5_li9Dw$M7=#+CG=>caWZ5Y12xWh-&n{J=@HFP>ZSiWkS^E}{KZ&Xeao=~m)74JV3 z$u>i?YzI}@(eB+p`vl2yb?-f}pgWB}(b(H|`fxkr8JlK#sc~x7xg~U4$_oKaL44V- z@{CGoidgqc7P!*zSj54rjszpeEc@jKAs6+HT5iH9-9NfpYeW>Urns!dN=2!nyJXDA zYf)?BNQ(E=NFkQeS}!v9qFEz=Ko$L!_X_eO|1fNJ!Mjh;KNmb1Ul-YCU$NkcZn>Fq z`+K(?`c2Wl=c!(LG$ZM7-M-#}<@WQ=K=m&g-MPBPs+nHB{uudfy>}3@FQqTrFlBfl zPG+lUJIPuP^HGl2Es9Y(WKIfnpE3#OI?c~tF*#S9JvKUW!gJd4&9{=XS7b2HyuOg!82NjF9=>%$TDKVh7I*>Js?o9FaKvN<&H$YpXKa}#UhJR_Iz{{U?i;y3^R literal 0 HcmV?d00001 From 49d0ffcd13478880e252c91ba4f537b245dafa33 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Thu, 21 Jul 2016 11:09:36 +0200 Subject: [PATCH 02/18] little calendar fix + make analysis default disabled --- server.R | 45 +++++++++++++++++++++++++++------------------ ui.R | 2 +- 2 files changed, 28 insertions(+), 19 deletions(-) diff --git a/server.R b/server.R index 96b335a..6ae19b2 100644 --- a/server.R +++ b/server.R @@ -307,6 +307,7 @@ shinyServer(function(session, input, output) { }) output$homeAddress <- renderText({ + req(input$revGeoCode) homeData <- locationData$base %>% filter(heure > 19 | heure < 8) %>% filter(moisN != "juil.", mois != "août") %>% @@ -329,6 +330,7 @@ shinyServer(function(session, input, output) { }) output$workAddress <- renderText({ + req(input$revGeoCode) workData <- locationData$base %>% filter(heure >= 14, heure <= 16) %>% filter(moisN != "juil.", mois != "août") %>% @@ -384,31 +386,38 @@ shinyServer(function(session, input, output) { }) output$test <- renderPlot({ - calendarBaseData <- locationData$base %>% - group_by(annee, moisN, monthWeek, jourN) %>% - summarise(count = n()) %>% - mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) - - - calendarPlot <- ggplot(calendarData, aes(monthWeek, jourN, fill = count)) + - geom_tile(colour="#333333", alpha = 0.8) + - facet_grid(annee~moisN) + - scale_fill_gradient( guide = FALSE, high="#43a2ca",low="#333333") + - scale_x_discrete("") + - xlab("") + - ylab("") + - theme_timelineEDB() - if (length(locationData$geofiltred) > 1) { + calendarFiltredData <- locationData$geofiltred %>% + group_by(annee, moisN, monthWeek, jourN) %>% + summarise(count = n()) %>% + mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) + + calendarPlot <- ggplot(calendarFiltredData, aes(monthWeek, jourN, fill = count)) + + geom_tile(colour="#333333", alpha = 0.8) + + facet_grid(annee~moisN) + + scale_fill_gradient( guide = FALSE, high="red",low="#333333") + + scale_x_discrete("") + + xlab("") + + ylab("") + + theme_timelineEDB() + - filtredData <- locationData$geofiltred %>% + } else { + calendarBaseData <- locationData$base %>% group_by(annee, moisN, monthWeek, jourN) %>% summarise(count = n()) %>% mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) - calendarPlot <- calendarPlot + - geom_tile(data = filtredData,colour="#333333", alpha = 0.8) + + calendarPlot <- ggplot(calendarBaseData, aes(monthWeek, jourN, fill = count)) + + geom_tile(colour="#333333", alpha = 0.8) + + facet_grid(annee~moisN) + + scale_fill_gradient( guide = FALSE, high="#43a2ca",low="#333333") + + scale_x_discrete("") + + xlab("") + + ylab("") + + theme_timelineEDB() } calendarPlot diff --git a/ui.R b/ui.R index 07923d9..aa1aad8 100644 --- a/ui.R +++ b/ui.R @@ -45,7 +45,7 @@ shinyUI( 4, fluidRow( wellPanel( - h3("Analyse automatique"), + h3("Analyse automatique"),checkboxInput("revGeoCode", "Lancer les analyses"), tags$hr(), "D'après analyse automatique de vos données, on peut inférer ces informations vous concernant :", tags$hr(), From 55936b4effb2ccaec7ad6e779ebc8230c67c5a2a Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Thu, 21 Jul 2016 11:47:08 +0200 Subject: [PATCH 03/18] Finish calendarPlot and yearPlot --- server.R | 46 +++++++++++++++++++++++++++++++++++++++++----- ui.R | 3 ++- 2 files changed, 43 insertions(+), 6 deletions(-) diff --git a/server.R b/server.R index 6ae19b2..5761808 100644 --- a/server.R +++ b/server.R @@ -158,6 +158,14 @@ shinyServer(function(session, input, output) { noselection <- TRUE currentlyFiltred <- locationData$base + if (!is.null(input$yearplot_brush)) { + #yearfreq + timeSelection <- input$yearplot_brush + currentlyFiltred <- currentlyFiltred %>% + filter(annee >= timeSelection$xmin, annee <= timeSelection$xmax) + noselection <- FALSE + } + if (!is.null(input$daydensity_brush)) { #daydensity timeSelection <- input$daydensity_brush @@ -385,7 +393,31 @@ shinyServer(function(session, input, output) { } }) - output$test <- renderPlot({ + output$yearPlot <- renderPlot({ + yearfreqplot <- ggplot(data = locationData$base) + + geom_bar( + aes(annee, y = (..count..) / sum(..count..)), + fill = "#43a2ca", + alpha = 0.3, + colour = "#053144" + ) + + scale_y_continuous("Densité", labels = scales::percent) + + theme_timelineEDB() + + if (length(locationData$geofiltred) > 1) { + yearfreqplot <- yearfreqplot + + geom_bar( + data = locationData$geofiltred, + aes(annee, y = (..count..) / sum(..count..)), + fill = "red", + alpha = 0.3, + colour = "#67000d" + ) + } + yearfreqplot + }, bg = "transparent") + + output$calendarPlot <- renderPlot({ if (length(locationData$geofiltred) > 1) { calendarFiltredData <- locationData$geofiltred %>% @@ -396,11 +428,13 @@ shinyServer(function(session, input, output) { calendarPlot <- ggplot(calendarFiltredData, aes(monthWeek, jourN, fill = count)) + geom_tile(colour="#333333", alpha = 0.8) + facet_grid(annee~moisN) + - scale_fill_gradient( guide = FALSE, high="red",low="#333333") + + scale_fill_gradient(name="Densité", high="red",low="#333333") + scale_x_discrete("") + xlab("") + ylab("") + - theme_timelineEDB() + theme_timelineEDB() + + theme(legend.position="bottom") + + guides(fill = guide_legend(keywidth = 5, keyheight = 2)) } else { @@ -413,11 +447,13 @@ shinyServer(function(session, input, output) { calendarPlot <- ggplot(calendarBaseData, aes(monthWeek, jourN, fill = count)) + geom_tile(colour="#333333", alpha = 0.8) + facet_grid(annee~moisN) + - scale_fill_gradient( guide = FALSE, high="#43a2ca",low="#333333") + + scale_fill_gradient(name="Densité", high="#43a2ca",low="#333333") + scale_x_discrete("") + xlab("") + ylab("") + - theme_timelineEDB() + theme_timelineEDB() + + theme(legend.position="bottom") + + guides(fill = guide_legend(keywidth = 5, keyheight = 2)) } calendarPlot diff --git a/ui.R b/ui.R index aa1aad8..53cae7e 100644 --- a/ui.R +++ b/ui.R @@ -102,7 +102,8 @@ shinyUI( ), checkboxInput("morePlots", "Plus de graphiques"), conditionalPanel("input.morePlots", fluidRow( - column(8, plotOutput("test", brush = brushOpts(id = "calendar_brush", direction = "y"))) + column(4, plotOutput("yearPlot", brush = brushOpts(id = "yearplot_brush", direction = "x"))), + column(8, plotOutput("calendarPlot")) )) ) ) From 75b9fbf76cd3ff3afcf63080a06efbd9e9fbf3ed Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Thu, 21 Jul 2016 12:17:51 +0200 Subject: [PATCH 04/18] fix calendarPlot --- server.R | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/server.R b/server.R index 5761808..19f199c 100644 --- a/server.R +++ b/server.R @@ -11,9 +11,26 @@ shinyServer(function(session, input, output) { observe({ req(input$userData) + thisMapProxy <- leafletProxy("map") + thisMapProxy %>% + clearHeatmap() %>% + removeDrawToolbar() locationData$base <- google_jsonZip_to_DF(input$userData$datapath, input$timezone) locationData$geofiltred <- NA locationData$timefiltred <- NA + + thisMapProxy %>% + addDrawToolbar( + layerID = "selectbox", + polyline = FALSE, + circle = FALSE, + marker = FALSE, + edit = FALSE, + polygon = FALSE, + rectangle = TRUE, + remove = TRUE, + singleLayer = TRUE + ) }) output$map <- renderLeaflet({ From 49996beec9208bd3724c8cb4ef9ab90ce742bc54 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Thu, 21 Jul 2016 12:19:19 +0200 Subject: [PATCH 05/18] fix calendarPlot --- server.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/server.R b/server.R index 19f199c..df0594c 100644 --- a/server.R +++ b/server.R @@ -435,6 +435,7 @@ shinyServer(function(session, input, output) { }, bg = "transparent") output$calendarPlot <- renderPlot({ + req(locationData$base) if (length(locationData$geofiltred) > 1) { calendarFiltredData <- locationData$geofiltred %>% @@ -442,8 +443,8 @@ shinyServer(function(session, input, output) { summarise(count = n()) %>% mutate(jourN = factor(jourN, levels=rev(levels(jourN)))) - calendarPlot <- ggplot(calendarFiltredData, aes(monthWeek, jourN, fill = count)) + - geom_tile(colour="#333333", alpha = 0.8) + + calendarPlot <- ggplot(locationData$base, aes(monthWeek, jourN, fill = count)) + + geom_tile(data =calendarFiltredData, colour="#333333", alpha = 0.8) + facet_grid(annee~moisN) + scale_fill_gradient(name="Densité", high="red",low="#333333") + scale_x_discrete("") + From 6c484b14e088eb26db856834f3c77d1304d1aad0 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Thu, 21 Jul 2016 19:43:07 +0200 Subject: [PATCH 06/18] remove packages startup messages --- global.R | 22 ++++++++++++---------- 1 file changed, 12 insertions(+), 10 deletions(-) diff --git a/global.R b/global.R index 584578c..2beca99 100644 --- a/global.R +++ b/global.R @@ -1,13 +1,15 @@ -library(shiny) -library(readr) -library(dplyr) -library(tidyr) -library(ggplot2) -library(lubridate) -library(leaflet) # For now : devtools::install_github("RCura/leaflet") -library(ggthemes) -library(ggmap) -library(stringi) +suppressPackageStartupMessages({ + library(shiny) + library(readr) + library(dplyr) + library(tidyr) + library(ggplot2) + library(lubridate) + library(leaflet) # For now : devtools::install_github("RCura/leaflet") + library(ggthemes) + library(ggmap) + library(stringi) +}) options(shiny.maxRequestSize = 8*1024^2) From cb382c5fff9ecd88dee046c3d6cf86276ba3b6db Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Fri, 22 Jul 2016 18:37:59 +0200 Subject: [PATCH 07/18] only create the map when starting (fixes #3) --- server.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/server.R b/server.R index df0594c..9232938 100644 --- a/server.R +++ b/server.R @@ -34,7 +34,7 @@ shinyServer(function(session, input, output) { }) output$map <- renderLeaflet({ - mapData <- locationData$base + mapData <- isolate(locationData$base) dataLength <- nrow(mapData) map <- leaflet(mapData) %>% addProviderTiles('CartoDB.DarkMatter', From 8eef799495970c59faf8937adaef7c1750c54f1b Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Fri, 22 Jul 2016 18:39:43 +0200 Subject: [PATCH 08/18] Modify deleting mode behavior so that a click delete the features automagically --- server.R | 37 ++++++++++++++++++++++++------------- 1 file changed, 24 insertions(+), 13 deletions(-) diff --git a/server.R b/server.R index 9232938..2f21d6c 100644 --- a/server.R +++ b/server.R @@ -304,19 +304,30 @@ shinyServer(function(session, input, output) { ) }) - # # observe({ - # # if (input$map_selectbox_deleting){ - # # print("deleting...") - # # } - # # }) - # - # observeEvent(input$map_selectbox_deleting,{ - # print("blob") - # thisMapProxy <- leafletProxy("map") - # thisMapProxy %>% - # fitBounds(0,0,0,0) - # - # }) + # Change the default behavior of deleting : + # the selectbox is deleted each time the user + # clicks on the garbage/delete-mode icon + observe({ + currentDeleting <- input$map_selectbox_deleting + if (isTRUE(currentDeleting)){ + thisMapProxy <- leafletProxy("map") + thisMapProxy %>% + removeDrawToolbar() %>% + addDrawToolbar( + layerID = "selectbox", + polyline = FALSE, + circle = FALSE, + marker = FALSE, + edit = FALSE, + polygon = FALSE, + rectangle = TRUE, + remove = TRUE, + singleLayer = TRUE + ) + } else if (is.null(currentDeleting)){ + locationData$geofiltred <- NA + } + }) observeEvent(input$analysisWork, { From 1bb288b8a22ea93e4f51bd4467683dd741702548 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Fri, 22 Jul 2016 18:48:49 +0200 Subject: [PATCH 09/18] #betterPlots : enable yearPlot and calendarPlot by default --- ui.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/ui.R b/ui.R index 53cae7e..0ad9293 100644 --- a/ui.R +++ b/ui.R @@ -100,10 +100,9 @@ shinyUI( ) ) ), - checkboxInput("morePlots", "Plus de graphiques"), - conditionalPanel("input.morePlots", fluidRow( + fluidRow( column(4, plotOutput("yearPlot", brush = brushOpts(id = "yearplot_brush", direction = "x"))), column(8, plotOutput("calendarPlot")) - )) + ) ) ) From f488aac7e2cb989f82a6c6fad592234cb19e5eb5 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Tue, 30 Aug 2016 19:05:22 +0200 Subject: [PATCH 10/18] Add busy/loading indicators --- global.R | 2 + server.R | 52 ++++++++++++++----------- src/helpers.R | 84 ++++++++++++++++++++++++++++++++++++++++ ui.R | 22 ++++++++--- www/ajax-loader-bar.gif | Bin 0 -> 723 bytes 5 files changed, 131 insertions(+), 29 deletions(-) create mode 100644 src/helpers.R create mode 100644 www/ajax-loader-bar.gif diff --git a/global.R b/global.R index 2beca99..4cecf89 100644 --- a/global.R +++ b/global.R @@ -9,9 +9,11 @@ suppressPackageStartupMessages({ library(ggthemes) library(ggmap) library(stringi) + library(shinyjs) }) options(shiny.maxRequestSize = 8*1024^2) +source("src/helpers.R") moisFr <- c( "janv.", diff --git a/server.R b/server.R index 2f21d6c..8c81cf6 100644 --- a/server.R +++ b/server.R @@ -9,28 +9,36 @@ shinyServer(function(session, input, output) { ) analysisData <- reactiveValues(homePoint = NA, workPoint = NA) - observe({ + + observeEvent(input$loadUserData,{ req(input$userData) - thisMapProxy <- leafletProxy("map") - thisMapProxy %>% - clearHeatmap() %>% - removeDrawToolbar() - locationData$base <- google_jsonZip_to_DF(input$userData$datapath, input$timezone) - locationData$geofiltred <- NA - locationData$timefiltred <- NA - - thisMapProxy %>% - addDrawToolbar( - layerID = "selectbox", - polyline = FALSE, - circle = FALSE, - marker = FALSE, - edit = FALSE, - polygon = FALSE, - rectangle = TRUE, - remove = TRUE, - singleLayer = TRUE - ) + withBusyIndicatorServer("loadUserData", { + thisMapProxy <- leafletProxy("map") + thisMapProxy %>% + clearHeatmap() %>% + removeDrawToolbar() + showNotification(ui = "Conversion des données...", duration = NULL, closeButton = TRUE, id = "notifData", type = "message") + locationData$base <- google_jsonZip_to_DF(input$userData$datapath, input$timezone) + removeNotification( id = "notifData") + locationData$geofiltred <- NA + locationData$timefiltred <- NA + showNotification(ui = "Mise à jour de la carte", duration = NULL, closeButton = TRUE, id = "notifMap", type = "message") + thisMapProxy %>% + addDrawToolbar( + layerID = "selectbox", + polyline = FALSE, + circle = FALSE, + marker = FALSE, + edit = FALSE, + polygon = FALSE, + rectangle = TRUE, + remove = TRUE, + singleLayer = TRUE + ) + removeNotification( id = "notifMap") + + }) + }) output$map <- renderLeaflet({ @@ -489,7 +497,5 @@ shinyServer(function(session, input, output) { }, bg = "transparent") - - }) diff --git a/src/helpers.R b/src/helpers.R new file mode 100644 index 0000000..b76796e --- /dev/null +++ b/src/helpers.R @@ -0,0 +1,84 @@ +# https://github.com/daattali/advanced-shiny/tree/master/busy-indicator +# Copyright 2016 Dean Attali. Licensed under the MIT license. + +# All the code in this file needs to be copied to your Shiny app, and you need +# to call `withBusyIndicatorUI()` and `withBusyIndicatorServer()` in your app. +# You can also include the `appCSS` in your UI, as the example app shows. + +# ============================================= + +# Set up a button to have an animated loading indicator and a checkmark +# for better user experience +# Need to use with the corresponding `withBusyIndicator` server function +withBusyIndicatorUI <- function(button) { + id <- button[['attribs']][['id']] + div( + `data-for-btn` = id, + button, + span( + class = "btn-loading-container", + hidden( + img(src = "ajax-loader-bar.gif", class = "btn-loading-indicator"), + icon("check", class = "btn-done-indicator") + ) + ), + hidden( + div(class = "btn-err", + div(icon("exclamation-circle"), + tags$b("Error: "), + span(class = "btn-err-msg") + ) + ) + ) + ) +} + +# Call this function from the server with the button id that is clicked and the +# expression to run when the button is clicked +withBusyIndicatorServer <- function(buttonId, expr) { + # UX stuff: show the "busy" message, hide the other messages, disable the button + loadingEl <- sprintf("[data-for-btn=%s] .btn-loading-indicator", buttonId) + doneEl <- sprintf("[data-for-btn=%s] .btn-done-indicator", buttonId) + errEl <- sprintf("[data-for-btn=%s] .btn-err", buttonId) + disable(buttonId) + show(selector = loadingEl) + hide(selector = doneEl) + hide(selector = errEl) + on.exit({ + enable(buttonId) + hide(selector = loadingEl) + }) + + # Try to run the code when the button is clicked and show an error message if + # an error occurs or a success message if it completes + tryCatch({ + value <- expr + show(selector = doneEl) + delay(2000, hide(selector = doneEl, anim = TRUE, animType = "fade", + time = 0.5)) + value + }, error = function(err) { errorFunc(err, buttonId) }) +} + +# When an error happens after a button click, show the error +errorFunc <- function(err, buttonId) { + errEl <- sprintf("[data-for-btn=%s] .btn-err", buttonId) + errElMsg <- sprintf("[data-for-btn=%s] .btn-err-msg", buttonId) + errMessage <- gsub("^ddpcr: (.*)", "\\1", err$message) + html(html = errMessage, selector = errElMsg) + show(selector = errEl, anim = TRUE, animType = "fade") +} + +appCSS <- " +.btn-loading-container { + margin-left: 10px; + font-size: 1.2em; +} +.btn-done-indicator { + color: green; +} +.btn-err { + margin-top: 10px; + color: red; +} +" \ No newline at end of file diff --git a/ui.R b/ui.R index 0ad9293..8c8b12f 100644 --- a/ui.R +++ b/ui.R @@ -3,6 +3,8 @@ library(shiny) shinyUI( fluidPage( theme = "slate-bootstrap.css", + useShinyjs(), + tags$style(appCSS), tags$head( tags$link(rel = "icon", type = "image/png", href = "favicon.png"), tags$title("TimeLineEDB"), @@ -21,8 +23,8 @@ shinyUI( onclick = "startIntro();" ) ), - fluidRow(column( - 4, plotOutput("daydensity", brush = brushOpts(id = "daydensity_brush", direction = "x")) + fluidRow( + column(4, plotOutput("daydensity", brush = brushOpts(id = "daydensity_brush", direction = "x")) ), column(8, @@ -75,16 +77,24 @@ shinyUI( ), fluidRow( conditionalPanel(condition = "input.userSettings == true", - fluidRow(fileInput("userData", - label = "Chargez vos données", + fluidRow( + column(6, fileInput("userData", + label = "Sélectionner vos données", multiple = FALSE, accept = "application/zip", width = "100%")), - fluidRow(selectInput("timezone", label = "Fuseau horaire", + column(6,selectInput("timezone", label = "Fuseau horaire", choices = lubridate::olson_time_zones(), multiple = FALSE, selected = "Europe/Paris", - selectize = FALSE)) + selectize = FALSE))), + withBusyIndicatorUI( + actionButton("loadUserData", + label = "Charger vos données", + class="btn-info", + width="50%", + icon = icon(name = "map", lib = "font-awesome")) + ) ) ), fluidRow( diff --git a/www/ajax-loader-bar.gif b/www/ajax-loader-bar.gif new file mode 100644 index 0000000000000000000000000000000000000000..09d621ede9dbe610877292e554c858d60573359e GIT binary patch literal 723 zcmZ?wbhEHb6ky3UH!ouR`=lAT{vl};VeEIUl!ouRtojadCecHBd+kyoPPMtdS z?%g|}ArPSWpWDwhB-q(8z|~04fSC~}s`yXJxhOTUBsE2$JhLQ2Au%hlA}2pFMK3ci zEuTU0CkrPxP?ZiyKgf{`thx#ceJPpqmMq|Ubc$)6gFv&z8PkHx)%R}in9s-lM6i9! zBZm__dd2Imak;LY=7h}zm4rkI)`WR0GG*E)?mKYn(8@QLmiIn?v-kDx2z`w?tc})! zof1sgG@1de?oQNs+@Zp$B*l}wBx#YxN$K-jdS4q!9hlC1plNUP#}nRyjb|@j-XZKa z^H3#V%=s`!CV{ zGZTv~S)?jgU+dnbH8)5Rn@L8H@VK@q;+ad}wo4-xl69peI z>rMAn>7QZ36tBx*W_EhPz6U`Z*qo#fG3yD?Ju5c7TU8{Z8nlJ?f$93++hq!-bARhP dGOMsv=2x69g9)2+ Date: Wed, 31 Aug 2016 18:20:24 +0200 Subject: [PATCH 11/18] adding analytics tracking --- ui.R | 1 + www/analytics.js | 9 +++++++++ 2 files changed, 10 insertions(+) create mode 100644 www/analytics.js diff --git a/ui.R b/ui.R index 8c8b12f..fb92a5f 100644 --- a/ui.R +++ b/ui.R @@ -8,6 +8,7 @@ shinyUI( tags$head( tags$link(rel = "icon", type = "image/png", href = "favicon.png"), tags$title("TimeLineEDB"), + includeScript("www/analytics.js"), includeScript("www/intro.min.js"), includeCSS("www/introjs.min.css"), includeScript("www/CustomIntro.js"), diff --git a/www/analytics.js b/www/analytics.js new file mode 100644 index 0000000..1db1d67 --- /dev/null +++ b/www/analytics.js @@ -0,0 +1,9 @@ +(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ + (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date(); + a=s.createElement(o), m=s.getElementsByTagName(o)[0]; + a.async=1; + a.src=g;m.parentNode.insertBefore(a,m) + })(window,document,'script','//www.google-analytics.com/analytics.js','ga'); + + ga('create', 'UA-44910337-8', 'auto'); + ga('send', 'pageview'); From fb3d79f35097c0b78df1b681febc75a4821d6c13 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Fri, 2 Sep 2016 19:15:54 +0200 Subject: [PATCH 12/18] add screenshots for takeout export and xork on general doc --- www/CustomIntro.js | 51 ++++++++++++++++++++++++---- www/img/google_takeout_download.png | Bin 0 -> 75395 bytes www/img/google_takeout_export.png | Bin 0 -> 88767 bytes www/img/google_takeout_home.png | Bin 0 -> 93425 bytes www/img/google_timeline_home.png | Bin 0 -> 351337 bytes 5 files changed, 44 insertions(+), 7 deletions(-) create mode 100644 www/img/google_takeout_download.png create mode 100644 www/img/google_takeout_export.png create mode 100644 www/img/google_takeout_home.png create mode 100644 www/img/google_timeline_home.png diff --git a/www/CustomIntro.js b/www/CustomIntro.js index ac63174..9839a35 100644 --- a/www/CustomIntro.js +++ b/www/CustomIntro.js @@ -50,17 +50,44 @@ function startIntro(){ intro: "Bienvenue dans l'application TimeLine Exploratory DashBoard!" }, { - intro: 'Ici, on explique l\'objectif
Test image :
' + intro: "Cette application va vous permettre d'explorer des données de localisation que Google possède sur ses utilisateurs " + + "( et peut-être sur vous ..) " + + "au sein d'une application dénommée Google TimeLine." }, { - intro: "Ici, on explique l'usage de l'application" + intro: "L'objectif est de vous amener à comprendre des éléments de la vie privé" + + "d'un utilisateur dont on possède les données." + }, + { + intro: "Ces données sont complexes et massives. Affichées toutes ensemble, elles se superposent sans" + + "donner de grandes informations sur l'individu suivi." + }, + { + intro: 'Mais en se "promenant" dans ces données, on peut aussi discerner des éléments très privés.' + }, + { + intro: "Pour se faire, on va faire appel aux méthodes de l'analyse exploratoire interactive de données." + }, + { + intro: 'Les "composants grapihques" (cartes, diagrammes) présentés sur cette page sont interactifs.' + + "C'est-à-dire que vous pouvez effecter des sélections dedans, " + + "et que chacun réagit aux séléctions effectuées dans les autres." }, { - intro : "On va maintenant présenter les composants un par un" + intro : "Pour faciliter la compréhension, on va maintenant présenter les composants un par un." }, { element: '#map', - intro: "This is a map." + intro: "Vous disposez ici d'une carte montrant l'ensemble des localisations de l'individu." + + "
" + + 'C\'est une carte de type heatmap, ou "carte de chaleur".' + + "
" + + "Les points proches sont superposés, et plus il y a de points superposés, plus la couleur s'approche du bleu." + }, + { + element: '#map', + intro: "Un point très bleu est donc une zone dans laquelle l'individu s'est rendu très souvent." + + "C'est ce que l'on appelle un hot-spot, ou \"point chaud \"." }, { element: '#daydensity', @@ -104,13 +131,23 @@ function userDataIntro(){ intro: "Vous pouvez maintenant explorer vos propres données, si toutefois Google en possède sur vous !" }, { - intro: "Pour cela, rendez-vous sur la page suivante et connectez-vous avec votre compte Google:
https://www.google.com/maps/timeline. Vous pourrez alors revenir sur l'application TimeLine EDB." + intro: "Pour cela, cliquez sur l'image suivante et connectez-vous avec votre compte Google.
" + + "" + + "" + + "" },{ intro: "Si des données se sont bien affichées, il va falloir les télécharger depuis le serveur de Google afin de les insérer dans l'application." },{ - intro: "Pour se faire, allez sur la page suivante, laissez les options par défaut, et cliquez sur Suivant." + intro: "Pour ce faire, cliquez sur l'image suivante, laissez les réglages par défaut (comme dans l'image) et cliquez sur suivant." + + "" + + "" + + "" + },{ + intro: 'Vous pouvez alors cliquer sur "Créér une archive".' + + "" },{ - intro: 'Vous pouvez alors cliquer sur "Créér une archive" et attendre que le fichier zip vous soit proposé en téléchargement.' + intro: 'Et attendre que le fichier zip vous soit proposé, et le télécharger.' + + "" },{ intro: "Une fois ce zip téléchargé, vous pourrez l'entrer dans l'application." }, diff --git a/www/img/google_takeout_download.png b/www/img/google_takeout_download.png new file mode 100644 index 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En cas de sélection spatale, la différence entre la fréquence générale (en bleu) et la fréquence de la sélection (en rouge) vous permettront de mieux comprendre l\'usage temporel d\'un lieu, et donc sa fonction.' - }, - { - element: '#dayfreq', - intro: 'Ce graphique interactif affiche la fréquence temporelle (heures de la journée) des enregistrement de l\'utilisateur.\n
Vous pouvez effectuer une sélection sur ces heures, ce qui aura pour effet de modifier les points affichés sur la carte, et ainsi, essayer de trouver les lieux fréquentés par l\'utilisateur aux différentes heures de la journée' - }, - { - element: '#monthfreq', - intro: 'monthfreq' - }, - { - element: '.well', - intro: 'Analyse auto' - }, - { - element: '#userData', - intro: "Charger données" - }, - { - element: '#mainHelp', - intro: "Vous pouvez cliquer ici à tout moment pour ré-afficher cette présentation de TimeLine EDB.\n
Bonne exploration !" + },{ + element: "#map", + intro: "Vous disposez ici d'une carte montrant l'ensemble des localisations de l'individu.
C'est une carte de type heatmap, ou \"carte de chaleur\".
Les points proches sont superposés, et plus il y a de points superposés, plus la couleur s'approche du bleu." + },{ + element: "#map", + intro: "Un point très bleu est donc une zone dans laquelle l'individu s'est rendu très souvent. C'est ce que l'on appelle un hot-spot, ou \"point chaud \"." + },{ + element: "#map", + intro: "Afin de comprendre à quoi correspondent ces points chauds, vous pouvez zoomer, dézoomer, mais aussi vous déplacer dans la carte." + },{ + element: ".mapSettingsCheckBox", + intro: "Des réglages pour la carte sont accessibles en cliquant sur cette icône." + },{ + element: "#map", + intro: "Vous pouvez aussi effectuer une sélection, grâce à l'outil de dessin suivant." + },{ + element: ".leaflet-draw-toolbar-top", + intro: "En dessinant une zone rectangulaire avec cet outil, une sélection spatiale des points situés à l'intérieur de la zone sera effectuée.

Cette sélection sera reprise sur l'ensemble des autres graphiques, ce qui vous permettra par exemple de comprendre à quel moment de la journée un utilisateur se rend dans un lieu donné." + },{ + element: "#daydensity", + intro: "Ce graphique interactif affiche la fréquence temporelle (heures de la journée) des enregistrement de l\'utilisateur.\n
Vous pouvez effectuer une sélection sur ces heures, ce qui aura pour effet de modifier les points affichés sur la carte, et ainsi, essayer de trouver les lieux fréquentés par l\'utilisateur aux différentes heures de la journée.\n
En cas de sélection spatale, la différence entre la fréquence générale (en bleu) et la fréquence de la sélection (en rouge) vous permettront de mieux comprendre l\'usage temporel d\'un lieu, et donc sa fonction." + },{ + element: "#daydensity", + intro: "Vous pouvez par exemple sélectionner les heures correspondant à la nuit pour trouver les endroits où l'utilisateur passe ses nuits, et donc, sans doute, son domicile." + },{ + element: "#dayfreq", + intro: "Ce graphique interactif affiche la fréquence hebdomadaire (jours de la semaine) des enregistrement de l\'utilisateur.\n
Vous pouvez effectuer une sélection sur ces jours, ce qui aura pour effet de modifier les points affichés sur la carte, et ainsi, essayer de trouver les lieux fréquentés par l\'utilisateur selon les jours de la semaine." + },{ + element: "#dayfreq", + intro: "Vous pouvez par exemple observer la différence entre la localisation de l'utilisateur en semaine et en week-end pour faire ressortir la différence de fréquentation des lieux de travail et des lieux de loisir." + },{ + element: "#monthfreq", + intro: "Comme le graphique précédent, mais celui-ci informe sur la fréquence mensuelle. Vous pouvez ainsi différencier les mois d'été, qui peuvent montrer les vacances de l'utilisateur, des mois usuels." + },{ + element: "#yearPlot", + intro: "Vous pouvez utiliser ce graphique annuel afin de différencier les localisations de l'utilisateur, par exemple pour observer si celui-ci a déménagé ou changé de lieu de travail." + },{ + element: "#calendarPlot", + intro: "Ce graphique présente une vue calendaire. Chaque carré représente un jour du mois. Plus la densité est forte (bleu clair ou rouge clair selon qu'il y a une sélection spatiale ou non), plus l'utilisateur a de points enregistrés ce jour là." + },{ + element: "#calendarPlot", + intro: "Cela permet par exemple de comprendre quand l'utilisateur a effectué un voyage particulier, ou encore d'avoir une idée de l'occupation sur l'année d'un lieu secondaire pour l'utilisateur." + },{ + element: "#automaticAnalysis", + intro: "Dans ce paneau, vous pouvez executer (en cochant l'icône \"Lancer les analyses\") une analyse automatique qui vise à deviner où l'utilisateur est domicilié et où il travaille.

Pour cela, on effectue une opération de classification des points, en observant les lieux où l'utilisateur se trouve le plus souvent. On isole ensuite parmi ces lieux l'endroit où l'utilisateur est le plus souvent pendant la journée de travail, en jours de semaines, pour trouver le lieu de travail. En effectuant la même opération pour les heures de nuit, on trouve le domicile probable.
Grâce à une opération nommée \"géocodage inverse\", on peut alors déduirGérard Augraffee l'adresse de ces deux \"hot-spots\"." + },{ + intro: "C'est la fin de cette visite guidée, vous êtes maintenant invités à explorer le jeu de données qui vous est ici présenté, en essayant de comprendre le déroulement des journées et semaines de l'utilisateur qui vous est ainsi livré." + },{ + element: ".userSettingsCheckBox", + intro: "Vous pourrez ensuite exploiter ces méthodes d'explorations sur vos propres données, en cliquant sur ce bouton." + },{ + element: "#mainHelp", + intro: "Vous pouvez cliquer ici à tout moment pour ré-afficher cette présentation de TimeLine EDB.
Bonne exploration !" } ], tooltipPosition: 'auto', @@ -85,33 +88,22 @@ function userDataIntro(){ steps: [ { intro: "Vous pouvez maintenant explorer vos propres données, si toutefois Google en possède sur vous !" - }, - { - intro: "Pour cela, cliquez sur l'image suivante et connectez-vous avec votre compte Google.
" + - "" + - "" + - "" + },{ + intro: "Pour cela, cliquez sur l'image suivante et connectez-vous avec votre compte Google.
" },{ intro: "Si des données se sont bien affichées, il va falloir les télécharger depuis le serveur de Google afin de les insérer dans l'application." },{ - intro: "Pour ce faire, cliquez sur l'image suivante, laissez les réglages par défaut (comme dans l'image) et cliquez sur suivant." + - "" + - "" + - "" + intro: "Pour ce faire, cliquez sur l'image suivante, laissez les réglages par défaut (comme dans l'image) et cliquez sur suivant. " },{ - intro: 'Vous pouvez alors cliquer sur "Créér une archive".' + - "" + intro: "Vous pouvez alors cliquer sur \"Créér une archive\"." },{ - intro: 'Et attendre que le fichier zip vous soit proposé, et le télécharger.' + - "" + intro: "Et attendre que le fichier zip vous soit proposé, et le télécharger." },{ intro: "Une fois ce zip téléchargé, vous pourrez l'entrer dans l'application." - }, - { + },{ element: '#userData', intro: "En cliquant sur ce menu." - }, - { + },{ intro: "Tous les graphiques et la carte se mettront alors à jour avec vos propres données. Bonne exploration avec TimeLine EDB !" },{ element: "#userDataHelp",

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p0?q=?0?q=?0?q=?0-t6J{6EFANyKyDESCTP002ovPDHLkV1ibF$Aka? literal 0 HcmV?d00001 From 8bcadd2d82840c5fd54278dca4a548c243e1531d Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Sun, 4 Sep 2016 20:07:07 +0200 Subject: [PATCH 13/18] replace custom page loading introjs with a clean modal Removing the cookie checking Better modal integration Using shinyjs to run js function --- global.R | 3 +++ server.R | 37 +++++++++++++++++++++++++++++++++++ ui.R | 1 + www/CustomIntro.js | 48 ---------------------------------------------- 4 files changed, 41 insertions(+), 48 deletions(-) diff --git a/global.R b/global.R index 4cecf89..e81bbc4 100644 --- a/global.R +++ b/global.R @@ -10,8 +10,11 @@ suppressPackageStartupMessages({ library(ggmap) library(stringi) library(shinyjs) + library(V8) }) +jsCode <- "shinyjs.launchIntro = function(){startIntro();}" + options(shiny.maxRequestSize = 8*1024^2) source("src/helpers.R") diff --git a/server.R b/server.R index 8c81cf6..a62c7e3 100644 --- a/server.R +++ b/server.R @@ -10,6 +10,43 @@ shinyServer(function(session, input, output) { analysisData <- reactiveValues(homePoint = NA, workPoint = NA) + + showModal(modalDialog(size = "l", + title = "Bienvenue dans TimeLine Exploratory Dashboard", + HTML("Cette application web permet à ses utilisateurs d'explorer dynamiquement + les traces GPS collectés par la société Google dans le cadre de son programme « Timeline ». + Lorsqu'un individu possède un smartphone fonctionnant avec le système « Android », + celui-ci lui propose d'enregistrer régulièrement et automatiquement les coordonnées de l'endroit où il se trouve. + Ce choix effectué, les coordonnées ainsi que l'heure seront enregistrées, + environ toutes les 5 minutes, et communiquées aux serveurs de Google. + L'utilisateur peut alors les consulter sur un site dédié : + Google Timeline.
+ Ce site ne permet qu'une consultation jour par jour, + et les données y sont en grande partie masquées, + seuls les lieux identifiés par Google y apparaissant. + On peut télécharger ces données, massives, mais les outils pour les consulter et explorer manquent. +
+ TimeLineEDB se propose de combler ce manque. +
+ Lors d'une première visite, nous vous invitons à suivre le tutoriel afin de comprendre + l'utilisation de TimeLine EDB. +
+ Notez que vous pouvez toujours revenir au tutoriel en cliquant sur l'icone aide + () + en haut à droite de l'application."), + easyClose = FALSE, + footer = tagList( + column(6, actionButton(inputId = "showHelp", label = "Suivre le tutoriel", icon = icon("education", lib = "glyphicon"))), + column(6, modalButton(label = "Entrer directement dans l'application", icon = icon("remove", lib = "glyphicon"))) + ) + )) + + + observeEvent(input$showHelp,{ + removeModal() + js$launchIntro() + }) + observeEvent(input$loadUserData,{ req(input$userData) withBusyIndicatorServer("loadUserData", { diff --git a/ui.R b/ui.R index fb92a5f..e9d23f4 100644 --- a/ui.R +++ b/ui.R @@ -4,6 +4,7 @@ shinyUI( fluidPage( theme = "slate-bootstrap.css", useShinyjs(), + extendShinyjs(text = jsCode), tags$style(appCSS), tags$head( tags$link(rel = "icon", type = "image/png", href = "favicon.png"), diff --git a/www/CustomIntro.js b/www/CustomIntro.js index 9839a35..7e38e34 100644 --- a/www/CustomIntro.js +++ b/www/CustomIntro.js @@ -1,47 +1,3 @@ -//set the cookie when they first hit the site -function setCookie(c_name,value,exdays) -{ -var exdate=new Date(); -exdate.setDate(exdate.getDate() + exdays); -var c_value=escape(value) + ((exdays===null) ? "" : "; expires="+exdate.toUTCString()); -document.cookie=c_name + "=" + c_value; -} - -//check for the cookie when user first arrives, if cookie doesn't exist call the intro. -function getCookie(c_name) -{ -var c_value = document.cookie; -var c_start = c_value.indexOf(" " + c_name + "="); -if (c_start == -1) - { - c_start = c_value.indexOf(c_name + "="); - } -if (c_start == -1) - { - c_value = null; - } -else - { - c_start = c_value.indexOf("=", c_start) + 1; - var c_end = c_value.indexOf(";", c_start); - if (c_end == -1) - { -c_end = c_value.length; -} -c_value = unescape(c_value.substring(c_start,c_end)); -} -return c_value; -} - -function checkCookieIntro(){ - var cookie=getCookie("timelineEDB"); - - if (cookie===null || cookie==="") { - setCookie("timelineEDB", "1",90); - startIntro(); //change this to whatever function you need to call to run the intro - } -} - function startIntro(){ var intro = introJs(); intro.setOptions({ @@ -168,8 +124,4 @@ function userDataIntro(){ }); introUserData.start(); -} - -window.onload = function() { - checkCookieIntro(); } \ No newline at end of file From eb12ab9fd79c3722235b48b947d854a2bcac9a1d Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Sun, 4 Sep 2016 20:21:20 +0200 Subject: [PATCH 14/18] finish replacing custom js/onclick with a observEvent logic --- global.R | 5 ++++- server.R | 9 +++++++++ ui.R | 19 +++---------------- 3 files changed, 16 insertions(+), 17 deletions(-) diff --git a/global.R b/global.R index e81bbc4..826d4bd 100644 --- a/global.R +++ b/global.R @@ -13,7 +13,10 @@ suppressPackageStartupMessages({ library(V8) }) -jsCode <- "shinyjs.launchIntro = function(){startIntro();}" +jsCode <- " + shinyjs.launchIntro = function(){startIntro();}; + shinyjs.launchUserIntro = function(){userDataIntro();} +" options(shiny.maxRequestSize = 8*1024^2) source("src/helpers.R") diff --git a/server.R b/server.R index a62c7e3..97575d7 100644 --- a/server.R +++ b/server.R @@ -47,6 +47,15 @@ shinyServer(function(session, input, output) { js$launchIntro() }) + observeEvent(input$mainHelp, { + js$launchIntro() + }) + + observeEvent(input$userDataHelp,{ + js$launchUserIntro() + }) + + observeEvent(input$loadUserData,{ req(input$userData) withBusyIndicatorServer("loadUserData", { diff --git a/ui.R b/ui.R index e9d23f4..81576d3 100644 --- a/ui.R +++ b/ui.R @@ -15,16 +15,8 @@ shinyUI( includeScript("www/CustomIntro.js"), includeCSS("www/timelineEDB.css") ), - h2( - "TimeLine Exploratory DashBoard", - tags$a( - id = "mainHelp", - style = "float: right;", - icon(name = "question-circle", class = "fa-1x", lib = "font-awesome"), - href = "javascript:void(0);", - onclick = "startIntro();" - ) - ), + column(11, h2("TimeLine Exploratory DashBoard")), + column(1, actionLink("mainHelp", label = "", icon(name = "question-circle", class = "fa-3x", lib = "font-awesome"))), fluidRow( column(4, plotOutput("daydensity", brush = brushOpts(id = "daydensity_brush", direction = "x")) ), @@ -70,12 +62,7 @@ shinyUI( tags$input(id = "userSettings", type = "checkbox", class = "inv-checkbox"), tags$label('for' = "userSettings", span("Explorez vos propres données", class = "btn btn-info"), onclick = "userDataIntro();"), - tags$a( - id = "userDataHelp", - icon(name = "question-circle", class = "fa-3x", lib = "font-awesome"), - href = "javascript:void(0);", - onclick = "userDataIntro();" - ) + actionLink(inputId = "userDataHelp", label = "",icon = icon(name = "question-circle", class = "fa-3x", lib = "font-awesome")) ), fluidRow( conditionalPanel(condition = "input.userSettings == true", From 021d6558d92f15a693f5867ab31be452c0893620 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Sun, 4 Sep 2016 20:25:52 +0200 Subject: [PATCH 15/18] adding favicon --- favicon.png | Bin 0 -> 2030 bytes www/favicon.png | Bin 0 -> 2030 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 favicon.png create mode 100644 www/favicon.png diff --git a/favicon.png b/favicon.png new file mode 100644 index 0000000000000000000000000000000000000000..7743b9b4ae0315bb92785b6035a6145ed0ec5496 GIT binary patch literal 2030 zcmd^<`8V5%8phKa)ZTllHJxcYxU^cgql)SfSKXsksJO?Q5J;CN%3P)*Qo;q+;XA!r(5FXD$5HA8_pddTQvmmIhV`N|`)EycKiHDP+U=T!di%Vq3152p{v4nD@8@b$-?*K<1Kix=={n#Yu{$9?;VX4qwVJ*u7B}KrS^(y6 zzafBGR^jMGXb;`V%NGs{iwuE+iL)$$2$Pq89ygha&haNr#$&4m+mce+bV5BYH@`5J zzFO0Uhd`m2ucKZ=Y)npW&CIuVm=6pduZ7t8jlJC3flp~_t!inFii~`noKoA{kEv}; z&n*~T6K?HDI=V>8B?DzObuF!J8Eu5-elndWTwG#b$BpOo49u(v`T(X#BE>ehig%^M z3rq5|ph4ze1{cnE&;il*?%I~5kW6XC6VbFqzd%UT5Nk^+>mMX%RaDtpTP1(N=P}rz zoNn=sG_f43RW(*j>TT*ESeRb>SW^!w8PZf$5li+smsOLH$Tzh4RA5<8Pyb0RscVot zx-El^^P;F6zDRuj!iBWn0dUuXn~O^mWlSuQuvYmtj!vO%L#icxe~wT|{R7Lpd&Ui8 z*r`RGe`pm0Q^<}^O-)USTz*nZE32^FtdZIj9m3rZuZbnoi%Y^yF;gZ77FY7#zmII} ztZ40sDJieScM@_kY6x8sm5s59zsJF&=PZ9p$t@UMUWN5BVrRwhih2%rj`nt*aWg@? 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" + - "au sein d'une application dénommée Google TimeLine." - }, - { - intro: "L'objectif est de vous amener à comprendre des éléments de la vie privé" + - "d'un utilisateur dont on possède les données." - }, - { - intro: "Ces données sont complexes et massives. Affichées toutes ensemble, elles se superposent sans" + - "donner de grandes informations sur l'individu suivi." - }, - { - intro: 'Mais en se "promenant" dans ces données, on peut aussi discerner des éléments très privés.' - }, - { - intro: "Pour se faire, on va faire appel aux méthodes de l'analyse exploratoire interactive de données." - }, - { - intro: 'Les "composants grapihques" (cartes, diagrammes) présentés sur cette page sont interactifs.' + - "C'est-à-dire que vous pouvez effecter des sélections dedans, " + - "et que chacun réagit aux séléctions effectuées dans les autres." - }, - { + },{ + intro: "Cette application va vous permettre d'explorer des données de localisation que Google possède sur ses utilisateurs ( et peut-être sur vous ..) au sein d'une application dénommée Google TimeLine." + },{ + intro: "L'objectif est de vous amener à comprendre des éléments de la vie privé d'un utilisateur dont on possède les données." + },{ + intro: "Ces données sont complexes et massives. Affichées toutes ensemble, elles se superposent sans donner de grandes informations sur l'individu suivi." + },{ + intro: "Mais en se \"promenant\" dans ces données, on peut aussi discerner des éléments très privés." + },{ + intro: "Pour se faire, on va faire appel aux méthodes de l'analyse exploratoire interactive de données." + },{ + intro: "Les \"composants graphiques\" (cartes, diagrammes) présentés sur cette page sont interactifs. C\'est-à-dire que vous pouvez effecter des sélections dedans, et que chacun réagit aux sélections effectuées dans les autres." + },{ intro : "Pour faciliter la compréhension, on va maintenant présenter les composants un par un." - }, - { - element: '#map', - intro: "Vous disposez ici d'une carte montrant l'ensemble des localisations de l'individu." + - "
" + - 'C\'est une carte de type heatmap, ou "carte de chaleur".' + - "
" + - "Les points proches sont superposés, et plus il y a de points superposés, plus la couleur s'approche du bleu." - }, - { - element: '#map', - intro: "Un point très bleu est donc une zone dans laquelle l'individu s'est rendu très souvent." + - "C'est ce que l'on appelle un hot-spot, ou \"point chaud \"." - }, - { - element: '#daydensity', - intro: 'Ce graphique interactif affiche la fréquence temporelle (heures de la journée) des enregistrement de l\'utilisateur.\n
Vous pouvez effectuer une sélection sur ces heures, ce qui aura pour effet de modifier les points affichés sur la carte, et ainsi, essayer de trouver les lieux fréquentés par l\'utilisateur aux différentes heures de la journée.\n