From c8d8eacc1038529f99203a9d4393ba4724308253 Mon Sep 17 00:00:00 2001 From: Garrick Aden-Buie Date: Wed, 23 Jan 2019 16:30:32 -0500 Subject: [PATCH 1/3] WIP google analytics analysis for shiny dev guidelines --- .gitignore | 1 + ...ng-shiny-apps-for-the-rstats-community.Rmd | 268 ++++++++++++++++++ ...g-shiny-apps-for-the-rstats-community.html | 139 +++++++++ data-cache/ga_data.rds | Bin 0 -> 6100 bytes .../figure-html/browser-plot-1.png | Bin 0 -> 129712 bytes .../figure-html/screen-resolution-chart-1.png | Bin 0 -> 207944 bytes 6 files changed, 408 insertions(+) create mode 100644 content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd create mode 100644 content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html create mode 100644 data-cache/ga_data.rds create mode 100644 static/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community_files/figure-html/browser-plot-1.png create mode 100644 static/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community_files/figure-html/screen-resolution-chart-1.png diff --git a/.gitignore b/.gitignore index f924443..d612e9d 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,4 @@ .Ruserdata .DS_Store public +.httr-oauth diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd new file mode 100644 index 0000000..728348c --- /dev/null +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd @@ -0,0 +1,268 @@ +--- +title: 'Designing Shiny Apps for the #rstats Community' +author: + - Garrick Aden-Buie +date: '2019-01-23' +slug: designing-shiny-apps-for-the-rstats-community +categories: + - R +tags: + - R + - Tips +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(warning = FALSE, message = FALSE, echo = TRUE) +``` + +I recently created a Shiny app for #rstudioconf... +Enabled google analytics because wanted to see if/when/how the app was being used and because running on Digital Ocean. + +Gives me a chance to come up with some data-driven guidelines for designing shiny apps -- for #rstats devs, at least. + +## Getting Started with Google Analytics - False start + +link: Adding GA to your Shiny app + +Follow instructions at https://github.com/jdeboer/ganalytics/#readme + +On GA side: https://github.com/jdeboer/ganalytics/#2-prepare-your-google-api-application-you-only-need-to-do-this-once + +For me: + +- Go to https://console.developers.google.com/apis/ +- Create a new Google project (dropdown at top right) +- Search for "Analytics API" and enable +- Go to APIs & Services > Credentials +- Create Credentials +- OAuth client +- Add your website to login page +- Copy `client ID` and `client secret` into `~/.Renviron` as `GOOGLE_APIS_CONSUMER_ID` and `GOOGLE_APIS_CONSUMER_SECRET` +- Add `GOOGLE_APIS_USER="my@gmail.com"` + +```{r eval=FALSE} +# ga_creds <- jsonlite::fromJSON("~/Downloads/google-analytics-0b8141ace51f.json") +# ga_creds_text <- glue::glue( +# 'GOOGLE_APIS_CONSUMER_ID="{ga_creds$client_id}" +# GOOGLE_APIS_CONSUMER_SECRET="{ga_creds$private_key}"' +# ) +# cat(ga_creds_text, file = "~/.Renviron", append = TRUE) +``` + +```{r eval=FALSE} +library(ganalytics) +creds <- GoogleApiCreds() +query <- GaQuery() +Metrics(query) <- "pageviews" +data <- GetGaData(query) +summary(data) +``` + +## Getting Started with Google Analytics + +Update `~/.Renviron` using the `client_id` and `client_secret` from above. + +``` +# ~/.Renviron +options(googleAuthR.client_id = "uxxxxxxx2fd4kesu6.apps.googleusercontent.com") +options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64") +options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/analytics") +``` + +```{r library} +library(tidyverse) +theme_set( + theme_minimal(base_family = "Lato") + + theme( + panel.grid.major.y = element_blank(), + panel.grid.minor = element_blank() + ) +) +``` + +```{r library-hidden, eval=FALSE} +library(googleAnalyticsR) +ga_auth() +``` + +```{r ga-analytics, eval=FALSE} +account_list <- ga_account_list() + +ga_data <- list() + +rsconf_viewId <- + account_list %>% + select(viewId, websiteUrl, viewName) %>% + filter(str_detect(websiteUrl, "rstudioconf")) %>% + pull(viewId) + +ga_data$ga_metrics <- + google_analytics_meta() %>% + filter(str_detect( + tolower(uiName), + "browser|operating system|mobile device (model|branding|info)|(^screen)|time on page"), + status == "PUBLIC" + ) %>% + as_tibble() + +ga_data$ga_metrics %>% + select(name, type, uiName) + +ga_data$screen_sizes <- google_analytics( + rsconf_viewId, + date_range = c("2019-01-14", "2019-01-23"), + metrics = c("sessions", "timeOnPage", "screenViews"), + dimensions = c("screenResolution", + "browser", + "browserVersion", + "browserSize", + "operatingSystem", + "operatingSystemVersion") + ) %>% + as_tibble() + +ga_data$browser_os <- google_analytics( + rsconf_viewId, + date_range = c("2019-01-14", "2019-01-23"), + metrics = c("sessions", "timeOnPage", "screenViews"), + dimensions = c("browser", + "browserVersion", + "operatingSystem", + "operatingSystemVersion") + ) %>% + as_tibble() + +ga_data$op_sys <- google_analytics( + rsconf_viewId, + date_range = c("2019-01-14", "2019-01-23"), + metrics = c("sessions", "timeOnPage", "screenViews"), + dimensions = c("operatingSystem", + "operatingSystemVersion") + ) %>% + as_tibble() + +ga_data$mobile <- google_analytics( + rsconf_viewId, + date_range = c("2019-01-14", "2019-01-23"), + metrics = c("sessions", "timeOnPage", "screenViews"), + dimensions = ga_data$ga_metrics %>% + filter(str_detect(uiName, "Mobile")) %>% + pull(name) +) %>% as_tibble() +``` + +```{r ga-cache-data, include=FALSE, eval=FALSE} +fs::dir_create(here::here("data-cache")) +saveRDS(ga_data, here::here("data-cache", "ga_data.rds")) +``` + +```{r} +ga_data <- readRDS(here::here("data-cache", "ga_data.rds")) +``` + +## Common Browsers by Operating System + +*note: probably want to scale by percentage of traffic* + +```{r browser-plot, echo = FALSE, fig.height=8} +browsers <- ga_data$browser_os %>% + group_by(browser, operatingSystem) %>% + summarize(sessions = sum(sessions)) %>% + filter(sessions > 1) %>% + summarize(sessions = sum(sessions)) %>% + pull(browser) + +browser_colors <- setNames(ggsci::pal_jama()(length(browsers)), browsers) + +ga_data$browser_os %>% + group_by(browser, operatingSystem) %>% + summarize(sessions = sum(sessions)) %>% + filter(sessions > 1) %>% + # group_by(operatingSystem) %>% + ungroup() %>% + mutate( + operatingSystem = fct_reorder(operatingSystem, sessions, max, .desc = TRUE) + ) %>% + split(.$operatingSystem) %>% + imap(~ { + mutate(.x, + browser = fct_reorder(browser, sessions, max), + text_placement = ifelse(sessions < 30, sessions, 0), + text_hjust = ifelse(sessions < 30, -0.1, 1.05) + ) %>% + ggplot() + + aes(operatingSystem, sessions, fill = browser) + + geom_col(position = "dodge") + + geom_text( + aes(label = browser, color = browser, y = text_placement, hjust = text_hjust), + vjust = 0.55, + position = position_dodge(1)) + + scale_fill_manual(values = browser_colors) + + scale_color_manual(values = browser_colors) + + scale_y_continuous(expand = expand_scale(c(0.1, 0), 0)) + + # guides(fill = guide_legend(reverse = TRUE)) + + guides(fill = FALSE, color = FALSE) + + labs(y = "Sessions", x = NULL) + + ggtitle(.y) + + theme(axis.text.y = element_blank(), + axis.title.x = element_text(color = "grey60"), + plot.title = element_text(hjust = 0.5)) + + coord_flip() + }) %>% + cowplot::plot_grid(plotlist = ., align = "hv", axis = "l", ncol = 1) +``` + +## Screen Resolution + +```{r screen-resolution-chart, echo = FALSE, fig.height=10, fig.width = 12} +screen_res <- c(480, 800, 1024, 1440, 2880) +screen_res_maj <- setNames(screen_res, screen_res) +screen_res <- sort(c(-screen_res[-1], screen_res)) +screen_res <- setNames(screen_res, abs(screen_res)) +# screen_res_maj <- screen_res[seq(2, length(screen_res), 2)] + +ga_data$screen_sizes %>% + filter(operatingSystem != "Chrome OS") %>% + separate(screenResolution, c("screen_width", "screen_height"), sep = "x") %>% + mutate_at(vars(starts_with("screen_")), as.integer) %>% + mutate(mobile = c("Desktop", "Mobile")[str_detect(operatingSystem, "Android|iOS") + 1]) %>% + split(.$mobile) %>% + imap(~ { + if (.y == "Desktop") { + screen_res <- screen_res[abs(screen_res) %in% c(800, 1440, 2880)] + screen_res_maj <- screen_res_maj[abs(screen_res_maj) %in% c(800, 1440, 2880)] + } + ggplot(.x %>% arrange(desc(sessions))) + + aes(fill = browser) + + geom_vline( + xintercept = screen_res[abs(screen_res) < max(.x$screen_width)]/2, + color = "grey95") + + geom_hline( + yintercept = screen_res[abs(screen_res) < max(.x$screen_height)]/2, + color = "grey95") + + geom_rect( + aes(xmin = -screen_width/2, xmax = screen_width/2, + ymin = -screen_height/2, ymax = screen_height/2, + alpha = sessions) + ) + + facet_grid(operatingSystem ~ browser, + switch = "y") + + coord_equal() + + guides(fill = FALSE) + + scale_alpha_continuous(range = c(0.15, 0.25)) + + scale_x_continuous(breaks = screen_res_maj/2, + labels = names(screen_res_maj)) + + scale_y_continuous(breaks = screen_res_maj/2, + labels = names(screen_res_maj), + position = "right") + + ggtitle(.y) + + labs(alpha = "Sessions", x = NULL, y = NULL) + + theme( + panel.grid = element_blank(), + plot.title = element_text(hjust = 0.5, family = "Fira Sans"), + axis.text.x = element_text(angle = -90, hjust = 0, vjust = 0.5), + strip.placement = "outside" + ) + }) %>% + cowplot::plot_grid(plotlist = ., ncol = 1) +``` \ No newline at end of file diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html new file mode 100644 index 0000000..6a54b79 --- /dev/null +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html @@ -0,0 +1,139 @@ +--- +title: 'Designing Shiny Apps for the #rstats Community' +author: + - Garrick Aden-Buie +date: '2019-01-23' +slug: designing-shiny-apps-for-the-rstats-community +categories: + - R +tags: + - R + - Tips +--- + + + +

I recently created a Shiny app for #rstudioconf… +Enabled google analytics because wanted to see if/when/how the app was being used and because running on Digital Ocean.

+

Gives me a chance to come up with some data-driven guidelines for designing shiny apps – for #rstats devs, at least.

+
+

Getting Started with Google Analytics - False start

+

link: Adding GA to your Shiny app

+

Follow instructions at https://github.com/jdeboer/ganalytics/#readme

+

On GA side: https://github.com/jdeboer/ganalytics/#2-prepare-your-google-api-application-you-only-need-to-do-this-once

+

For me:

+ +
# ga_creds <- jsonlite::fromJSON("~/Downloads/google-analytics-0b8141ace51f.json")
+# ga_creds_text <- glue::glue(
+#   'GOOGLE_APIS_CONSUMER_ID="{ga_creds$client_id}"
+#    GOOGLE_APIS_CONSUMER_SECRET="{ga_creds$private_key}"'
+# )
+# cat(ga_creds_text, file = "~/.Renviron", append = TRUE)
+
library(ganalytics)
+creds <- GoogleApiCreds()
+query <- GaQuery()
+Metrics(query) <- "pageviews"
+data <- GetGaData(query)
+summary(data)
+
+
+

Getting Started with Google Analytics

+

Update ~/.Renviron using the client_id and client_secret from above.

+
# ~/.Renviron
+options(googleAuthR.client_id = "uxxxxxxx2fd4kesu6.apps.googleusercontent.com")
+options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64")
+options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/analytics")
+
library(tidyverse)
+theme_set(
+  theme_minimal(base_family = "Lato") +
+    theme(
+      panel.grid.major.y = element_blank(),
+      panel.grid.minor = element_blank()
+    )
+)
+
library(googleAnalyticsR)
+ga_auth()
+
account_list <- ga_account_list()
+
+ga_data <- list()
+
+rsconf_viewId <- 
+  account_list %>% 
+  select(viewId, websiteUrl, viewName) %>% 
+  filter(str_detect(websiteUrl, "rstudioconf")) %>% 
+  pull(viewId)
+
+ga_data$ga_metrics <- 
+  google_analytics_meta() %>% 
+  filter(str_detect(
+    tolower(uiName),
+    "browser|operating system|mobile device (model|branding|info)|(^screen)|time on page"),
+    status == "PUBLIC"
+  ) %>% 
+  as_tibble()
+
+ga_data$ga_metrics %>% 
+  select(name, type, uiName)
+
+ga_data$screen_sizes <- google_analytics(
+  rsconf_viewId,
+  date_range = c("2019-01-14", "2019-01-23"), 
+  metrics = c("sessions", "timeOnPage", "screenViews"),
+  dimensions = c("screenResolution", 
+                 "browser", 
+                 "browserVersion",
+                 "browserSize",
+                 "operatingSystem", 
+                 "operatingSystemVersion")
+  ) %>% 
+  as_tibble()
+
+ga_data$browser_os <- google_analytics(
+  rsconf_viewId,
+  date_range = c("2019-01-14", "2019-01-23"), 
+  metrics = c("sessions", "timeOnPage", "screenViews"),
+  dimensions = c("browser", 
+                 "browserVersion",
+                 "operatingSystem", 
+                 "operatingSystemVersion")
+  ) %>% 
+  as_tibble()
+
+ga_data$op_sys <- google_analytics(
+  rsconf_viewId,
+  date_range = c("2019-01-14", "2019-01-23"), 
+  metrics = c("sessions", "timeOnPage", "screenViews"),
+  dimensions = c("operatingSystem", 
+                 "operatingSystemVersion")
+  ) %>% 
+  as_tibble()
+
+ga_data$mobile <- google_analytics(
+  rsconf_viewId,
+  date_range = c("2019-01-14", "2019-01-23"),
+  metrics = c("sessions", "timeOnPage", "screenViews"),
+  dimensions = ga_data$ga_metrics %>% 
+    filter(str_detect(uiName, "Mobile")) %>% 
+    pull(name)
+) %>% as_tibble()
+
ga_data <- readRDS(here::here("data-cache", "ga_data.rds"))
+
+
+

Common Browsers by Operating System

+

note: probably want to scale by percentage of traffic

+

+
+
+

Screen Resolution

+

+
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zzXX&Xq1yGi8zjvNWgPknO$w-kt#lMExXg$gF7>z1kq=ckcwGPly1PBIVI;N>#hxUn z!Yrg*Uax?pXiibS443tcplMVAl?IwGBwF;-%9nwSxc(Vma_jYL?4iQ(5XI-av%Qwj zIFM;DI>c#EbMly;bDFb&FLZ5}^4Pbn)taOb-laU&&_ZiP^llbH(5BHg_5lQtZH@7h zUIYfS=b-0J{~w@6`=3C~!(q6^(I??_5*s3&QloJLP|JvC>0+thdj%Kr_DM%HjRi8W zddP0q{_x$nc6V&sqsvdQ&_P~`^Gp_*jl6g%PP+6gR4I@&aZ9P#X`%l~mX<6rJby*r1`UpdA6kBENG;dcXI66rI;{X3a3&IJSf vUWknnHbu$Ez5d;mga7~0|8zufAPehuPnA^tnwG Date: Fri, 22 Feb 2019 14:34:35 -0500 Subject: [PATCH 2/3] Tweaks to plots, updates of underlying data --- ...ng-shiny-apps-for-the-rstats-community.Rmd | 65 +++++++++++++----- ...g-shiny-apps-for-the-rstats-community.html | 25 +++++-- data-cache/ga_data.rds | Bin 6100 -> 6534 bytes .../figure-html/browser-plot-1.png | Bin 129712 -> 130174 bytes .../figure-html/screen-resolution-chart-1.png | Bin 207944 -> 202984 bytes 5 files changed, 65 insertions(+), 25 deletions(-) diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd index 728348c..199bf02 100644 --- a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd @@ -86,6 +86,8 @@ ga_auth() ``` ```{r ga-analytics, eval=FALSE} +metrics_date_range <- c("2019-01-04", paste(Sys.Date())) + account_list <- ga_account_list() ga_data <- list() @@ -110,7 +112,7 @@ ga_data$ga_metrics %>% ga_data$screen_sizes <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("screenResolution", "browser", @@ -123,7 +125,7 @@ ga_data$screen_sizes <- google_analytics( ga_data$browser_os <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("browser", "browserVersion", @@ -134,7 +136,7 @@ ga_data$browser_os <- google_analytics( ga_data$op_sys <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("operatingSystem", "operatingSystemVersion") @@ -143,7 +145,7 @@ ga_data$op_sys <- google_analytics( ga_data$mobile <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = ga_data$ga_metrics %>% filter(str_detect(uiName, "Mobile")) %>% @@ -164,6 +166,20 @@ ga_data <- readRDS(here::here("data-cache", "ga_data.rds")) *note: probably want to scale by percentage of traffic* +```{r popular-os-browsers} +os_popular <- + ga_data$screen_sizes %>% + count(operatingSystem) %>% + filter(n >= 5) %>% + pull(operatingSystem) + +browser_popular <- + ga_data$screen_sizes %>% + count(operatingSystem, browser) %>% + filter(n > 2) %>% + pull(browser) +``` + ```{r browser-plot, echo = FALSE, fig.height=8} browsers <- ga_data$browser_os %>% group_by(browser, operatingSystem) %>% @@ -175,39 +191,45 @@ browsers <- ga_data$browser_os %>% browser_colors <- setNames(ggsci::pal_jama()(length(browsers)), browsers) ga_data$browser_os %>% + filter(operatingSystem %in% os_popular) %>% group_by(browser, operatingSystem) %>% summarize(sessions = sum(sessions)) %>% filter(sessions > 1) %>% - # group_by(operatingSystem) %>% ungroup() %>% mutate( - operatingSystem = fct_reorder(operatingSystem, sessions, max, .desc = TRUE) + operatingSystem = fct_reorder(operatingSystem, sessions, max, .desc = TRUE), + sessions = sessions / sum(sessions) ) %>% split(.$operatingSystem) %>% imap(~ { mutate(.x, browser = fct_reorder(browser, sessions, max), - text_placement = ifelse(sessions < 30, sessions, 0), - text_hjust = ifelse(sessions < 30, -0.1, 1.05) + text_placement = ifelse(sessions < 0.05, sessions, 0), + text_hjust = ifelse(sessions < 0.05, -0.1, 1.05) ) %>% ggplot() + aes(operatingSystem, sessions, fill = browser) + geom_col(position = "dodge") + geom_text( aes(label = browser, color = browser, y = text_placement, hjust = text_hjust), - vjust = 0.55, - position = position_dodge(1)) + + vjust = 0.5, + position = position_dodge(1) + ) + scale_fill_manual(values = browser_colors) + scale_color_manual(values = browser_colors) + - scale_y_continuous(expand = expand_scale(c(0.1, 0), 0)) + - # guides(fill = guide_legend(reverse = TRUE)) + + scale_y_continuous(labels = scales::percent, expand = expand_scale(mult = c(0.1, 0), add = 0)) + + scale_x_discrete(expand = expand_scale(0, 0)) + guides(fill = FALSE, color = FALSE) + - labs(y = "Sessions", x = NULL) + - ggtitle(.y) + + coord_flip(clip = "off") + + labs( + y = if (.y == "Linux") "Percent of Overall Traffic", + x = NULL, + title = .y + ) + theme(axis.text.y = element_blank(), - axis.title.x = element_text(color = "grey60"), - plot.title = element_text(hjust = 0.5)) + - coord_flip() + axis.title.x = element_text(color = "grey40"), + plot.title = element_text(hjust = 0.5) + ) }) %>% cowplot::plot_grid(plotlist = ., align = "hv", axis = "l", ncol = 1) ``` @@ -220,9 +242,12 @@ screen_res_maj <- setNames(screen_res, screen_res) screen_res <- sort(c(-screen_res[-1], screen_res)) screen_res <- setNames(screen_res, abs(screen_res)) # screen_res_maj <- screen_res[seq(2, length(screen_res), 2)] - + ga_data$screen_sizes %>% - filter(operatingSystem != "Chrome OS") %>% + filter( + operatingSystem %in% os_popular, + browser %in% browser_popular + ) %>% separate(screenResolution, c("screen_width", "screen_height"), sep = "x") %>% mutate_at(vars(starts_with("screen_")), as.integer) %>% mutate(mobile = c("Desktop", "Mobile")[str_detect(operatingSystem, "Android|iOS") + 1]) %>% @@ -259,8 +284,10 @@ ga_data$screen_sizes %>% labs(alpha = "Sessions", x = NULL, y = NULL) + theme( panel.grid = element_blank(), + panel.border = element_rect(color = "grey60", fill = NA), plot.title = element_text(hjust = 0.5, family = "Fira Sans"), axis.text.x = element_text(angle = -90, hjust = 0, vjust = 0.5), + strip.text.y = element_text(angle = 180, face = "bold"), strip.placement = "outside" ) }) %>% diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html index 6a54b79..9123a82 100644 --- a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html @@ -31,7 +31,7 @@

Getting Started with Google Analytics - False start

  • OAuth client
  • Add your website to login page
  • Copy client ID and client secret into ~/.Renviron as GOOGLE_APIS_CONSUMER_ID and GOOGLE_APIS_CONSUMER_SECRET
  • -
  • Add GOOGLE_APIS_USER="my@gmail.com"
  • +
  • Add GOOGLE_APIS_USER="my@gmail.com"
  • # ga_creds <- jsonlite::fromJSON("~/Downloads/google-analytics-0b8141ace51f.json")
     # ga_creds_text <- glue::glue(
    @@ -63,7 +63,9 @@ 

    Getting Started with Google Analytics

    )
    library(googleAnalyticsR)
     ga_auth()
    -
    account_list <- ga_account_list()
    +
    metrics_date_range <- c("2019-01-04", paste(Sys.Date()))
    +
    +account_list <- ga_account_list()
     
     ga_data <- list()
     
    @@ -87,7 +89,7 @@ 

    Getting Started with Google Analytics

    ga_data$screen_sizes <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("screenResolution", "browser", @@ -100,7 +102,7 @@

    Getting Started with Google Analytics

    ga_data$browser_os <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("browser", "browserVersion", @@ -111,7 +113,7 @@

    Getting Started with Google Analytics

    ga_data$op_sys <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = c("operatingSystem", "operatingSystemVersion") @@ -120,7 +122,7 @@

    Getting Started with Google Analytics

    ga_data$mobile <- google_analytics( rsconf_viewId, - date_range = c("2019-01-14", "2019-01-23"), + date_range = metrics_date_range, metrics = c("sessions", "timeOnPage", "screenViews"), dimensions = ga_data$ga_metrics %>% filter(str_detect(uiName, "Mobile")) %>% @@ -131,6 +133,17 @@

    Getting Started with Google Analytics

    Common Browsers by Operating System

    note: probably want to scale by percentage of traffic

    +
    os_popular <- 
    +  ga_data$screen_sizes %>% 
    +  count(operatingSystem) %>% 
    +  filter(n >= 5) %>% 
    +  pull(operatingSystem)
    +
    +browser_popular <- 
    +  ga_data$screen_sizes %>% 
    +  count(operatingSystem, browser) %>%
    +  filter(n > 2) %>% 
    +  pull(browser)

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zzXX&Xq1yGi8zjvNWgPknO$w-kt#lMExXg$gF7>z1kq=ckcwGPly1PBIVI;N>#hxUn z!Yrg*Uax?pXiibS443tcplMVAl?IwGBwF;-%9nwSxc(Vma_jYL?4iQ(5XI-av%Qwj zIFM;DI>c#EbMly;bDFb&FLZ5}^4Pbn)taOb-laU&&_ZiP^llbH(5BHg_5lQtZH@7h zUIYfS=b-0J{~w@6`=3C~!(q6^(I??_5*s3&QloJLP|JvC>0+thdj%Kr_DM%HjRi8W zddP0q{_x$nc6V&sqsvdQ&_P~`^Gp_*jl6g%PP+6gR4I@&aZ9P#X`%l~mX<6rJby*r1`UpdA6kBENG;dcXI66rI;{X3a3&IJSf vUWknnHbu$Ez5d;mga7~0|8zufAPehuPnA^tnwG Date: Fri, 22 Feb 2019 15:18:24 -0500 Subject: [PATCH 3/3] Tweak browser bar plot --- ...ng-shiny-apps-for-the-rstats-community.Rmd | 6 ++---- ...g-shiny-apps-for-the-rstats-community.html | 12 ------------ .../figure-html/browser-plot-1.png | Bin 130174 -> 125222 bytes 3 files changed, 2 insertions(+), 16 deletions(-) diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd index 199bf02..b306b95 100644 --- a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.Rmd @@ -164,9 +164,7 @@ ga_data <- readRDS(here::here("data-cache", "ga_data.rds")) ## Common Browsers by Operating System -*note: probably want to scale by percentage of traffic* - -```{r popular-os-browsers} +```{r popular-os-browsers, echo = FALSE} os_popular <- ga_data$screen_sizes %>% count(operatingSystem) %>% @@ -217,7 +215,7 @@ ga_data$browser_os %>% ) + scale_fill_manual(values = browser_colors) + scale_color_manual(values = browser_colors) + - scale_y_continuous(labels = scales::percent, expand = expand_scale(mult = c(0.1, 0), add = 0)) + + scale_y_continuous(labels = scales::percent_format(5), expand = expand_scale(mult = c(0.1, 0.05), add = 0)) + scale_x_discrete(expand = expand_scale(0, 0)) + guides(fill = FALSE, color = FALSE) + coord_flip(clip = "off") + diff --git a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html index 9123a82..3d884ca 100644 --- a/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html +++ b/content/blog/2019-01-23-designing-shiny-apps-for-the-rstats-community.html @@ -132,18 +132,6 @@

    Getting Started with Google Analytics

    Common Browsers by Operating System

    -

    note: probably want to scale by percentage of traffic

    -
    os_popular <- 
    -  ga_data$screen_sizes %>% 
    -  count(operatingSystem) %>% 
    -  filter(n >= 5) %>% 
    -  pull(operatingSystem)
    -
    -browser_popular <- 
    -  ga_data$screen_sizes %>% 
    -  count(operatingSystem, browser) %>%
    -  filter(n > 2) %>% 
    -  pull(browser)

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