R/Viz3_plot.R
In amirbenmahjoub/wifiparis_package:
#' Plots a treemap with size = to average number of connexions & color = connexion duration with respect to a given analysis axis
#'
#' @param a_set = a dataframe, analysis_axis = a defined string of characters (default is "None"), hierarchy_view = a boolean
#' @import dplyr treemap d3treeR
#' @return a treemap object
#' @export
#'
#' @examples
#' \dontrun{
#'
#' A MODIFIER
#'
#' start<-lubridate::ymd("2016-09-27")
#' end<-lubridate::ymd("2016-09-30")
#' duration_min<- 10
#' duration_max<- 5000
#' districts<-c(1,2,5,8,"All")
#' cat_sites<-c("Mairie","Bibliothèque")
#' sites<-c("All")
#' countries<-c("All")
#' devices<-c("smartphone","tablet")
#' analysis_axis<-"category_device"
#' hierarchy_view<-FALSE
#' a_set <- Viz1_Filter(start, end, duration_min, duration_max, districts, cat_sites, sites, countries, devices) %>%
#' number_connexions(start,end,analysis_axis)
#'
#' Viz3_plot(a_set, analysis_axis, hierarchy_view)
#'
#' }
#'
# filtering the data using Viz1_Filter function and calculating nb of connexion using
# number of connexion function.
Viz3_plot <- function(a_set, analysis_axis = "None", hierarchy_view){
data_Viz3_plot <- a_set
# Removing hours (in case of date scope < 1 week)
data_Viz3_plot$date <- as.Date(data_Viz3_plot$date)
#Creating a database adapted to the choosen treemap.
if (analysis_axis == "None") {
data = data_Viz3_plot %>% mutate( None = "None") %>% select(date, None, duration, nb_connexions) %>% group_by(date,None) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(None) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
p<-d3tree3(treemap(data, index= "None", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])) )
}
if(analysis_axis == "Country"){
if (hierarchy_view == FALSE) {
data = data_Viz3_plot %>% select(date, Country , duration, nb_connexions) %>% group_by(date,Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "Country", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "Country", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, Country , duration, nb_connexions) %>% group_by(date,Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% full_join(mapping_country_region, by = "Country")
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("Region","Country"), vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("Region","Country"), vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
} else if(analysis_axis == "category_device"){
data = data_Viz3_plot %>% select(date, category_device , duration, nb_connexions) %>% group_by(date,category_device) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_device) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "category_device", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "category_device", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
} else if(analysis_axis == "site"){
data = data_Viz3_plot %>% select(date, site , duration, nb_connexions) %>% group_by(date,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "site", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "site", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
} else if(analysis_axis == "Ardt"){
if (hierarchy_view==FALSE){
data = data_Viz3_plot %>% select(date, Ardt , duration, nb_connexions) %>% group_by(date,Ardt) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Ardt) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "Ardt", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "Ardt", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, Ardt , site, duration, nb_connexions) %>% group_by(date,Ardt,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Ardt,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("Ardt", "site"), vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("Ardt", "site"), vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
} else if(analysis_axis == "category_site"){
if (hierarchy_view==FALSE) {
data = data_Viz3_plot %>% select(date, category_site , duration, nb_connexions) %>% group_by(date,category_site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "category_site", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p <- d3tree3(treemap(data, index= "category_site", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, category_site , site, duration, nb_connexions) %>% group_by(date,category_site,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_site,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("category_site", "site") , vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("category_site", "site") , vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
}
return(p)
}
amirbenmahjoub/wifiparis_package documentation built on May 28, 2019, 6:41 a.m.
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#' Plots a treemap with size = to average number of connexions & color = connexion duration with respect to a given analysis axis
#'
#' @param a_set = a dataframe, analysis_axis = a defined string of characters (default is "None"), hierarchy_view = a boolean
#' @import dplyr treemap d3treeR
#' @return a treemap object
#' @export
#'
#' @examples
#' \dontrun{
#'
#' A MODIFIER
#'
#' start<-lubridate::ymd("2016-09-27")
#' end<-lubridate::ymd("2016-09-30")
#' duration_min<- 10
#' duration_max<- 5000
#' districts<-c(1,2,5,8,"All")
#' cat_sites<-c("Mairie","Bibliothèque")
#' sites<-c("All")
#' countries<-c("All")
#' devices<-c("smartphone","tablet")
#' analysis_axis<-"category_device"
#' hierarchy_view<-FALSE
#' a_set <- Viz1_Filter(start, end, duration_min, duration_max, districts, cat_sites, sites, countries, devices) %>%
#' number_connexions(start,end,analysis_axis)
#'
#' Viz3_plot(a_set, analysis_axis, hierarchy_view)
#'
#' }
#'
# filtering the data using Viz1_Filter function and calculating nb of connexion using
# number of connexion function.
Viz3_plot <- function(a_set, analysis_axis = "None", hierarchy_view){
data_Viz3_plot <- a_set
# Removing hours (in case of date scope < 1 week)
data_Viz3_plot$date <- as.Date(data_Viz3_plot$date)
#Creating a database adapted to the choosen treemap.
if (analysis_axis == "None") {
data = data_Viz3_plot %>% mutate( None = "None") %>% select(date, None, duration, nb_connexions) %>% group_by(date,None) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(None) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
p<-d3tree3(treemap(data, index= "None", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])) )
}
if(analysis_axis == "Country"){
if (hierarchy_view == FALSE) {
data = data_Viz3_plot %>% select(date, Country , duration, nb_connexions) %>% group_by(date,Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "Country", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "Country", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, Country , duration, nb_connexions) %>% group_by(date,Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Country) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% full_join(mapping_country_region, by = "Country")
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("Region","Country"), vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("Region","Country"), vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
} else if(analysis_axis == "category_device"){
data = data_Viz3_plot %>% select(date, category_device , duration, nb_connexions) %>% group_by(date,category_device) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_device) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "category_device", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "category_device", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
} else if(analysis_axis == "site"){
data = data_Viz3_plot %>% select(date, site , duration, nb_connexions) %>% group_by(date,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "site", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "site", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
} else if(analysis_axis == "Ardt"){
if (hierarchy_view==FALSE){
data = data_Viz3_plot %>% select(date, Ardt , duration, nb_connexions) %>% group_by(date,Ardt) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Ardt) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "Ardt", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= "Ardt", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, Ardt , site, duration, nb_connexions) %>% group_by(date,Ardt,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(Ardt,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("Ardt", "site"), vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("Ardt", "site"), vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
} else if(analysis_axis == "category_site"){
if (hierarchy_view==FALSE) {
data = data_Viz3_plot %>% select(date, category_site , duration, nb_connexions) %>% group_by(date,category_site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= "category_site", vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p <- d3tree3(treemap(data, index= "category_site", vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
else {
data = data_Viz3_plot %>% select(date, category_site , site, duration, nb_connexions) %>% group_by(date,category_site,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration))) %>% group_by(category_site,site) %>%
summarise(nb_connexions = mean(as.numeric(nb_connexions)), duration = mean(as.numeric(duration)))
if (length(data$nb_connexions)==1){
p<-d3tree3(treemap(data, index= c("category_site", "site") , vSize= "nb_connexions"),
rootname = paste("Average nb of connexions : " , as.character(data$nb_connexions[1])))
}
else {
p<-d3tree3(treemap(data, index= c("category_site", "site") , vSize= "nb_connexions", vColor = "duration", type = "value"),
rootname = "Average nb of connexions")
}
}
}
return(p)
}
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