Ryan Praskievicz ryanpraski
ryanpraski
/ adobe_analytics_api_save.segment_method.txt
Last active
December 2, 2015 22:49
Adobe Analytics API Create Segment Example- Method Segments.Save
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| { | |
| "definition":{ | |
| "container":{ | |
| "type":"hits", | |
| "operator":"equals", | |
| "rules":[ | |
| { | |
| "element":"evar47", | |
| "operator":"equals", | |
| "value":"loggedin" |
ryanpraski
/ google_search_console_90_days.R
Last active
April 5, 2016 16:13
Download Google Search Console data (formerly webmaster tools) to R using searchConsoleR package. This script downloads the last 90 days of available data: from 93 days ago to 3 days ago and write the data to a .csv file.
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| ## A script to download and archive Google search console analytics (formerly webmaster tools) | |
| ## | |
| ## searchConsoleR package created by Mark Edmondson (http://markedmondson.me) | |
| ## | |
| ## This script downloads and writes data to .csv for the last 90 days of data available | |
| ## load the required libraries | |
| ## (Download them with install.packages("googleAuthR") and install.packages("searchConsoleR") if necessary | |
| library(googleAuthR) | |
| library(searchConsoleR) |
ryanpraski
/ nonbrand_keyword_dataviz_Rshiny_searchConsoleR.R
Last active
April 12, 2016 18:06
Shiny app to visualize clicks, impressions, and position by week for Google Organic non brand keywords. Uses searchConsoleR library to pull Google Search Console data.
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| library(shiny) | |
| library(ggvis) | |
| runApp(shinyApp( | |
| ui <- fluidPage( | |
| sidebarLayout( | |
| sidebarPanel( | |
| uiOutput("choose_dataset") | |
| ), | |
| mainPanel(ggvisOutput("plot1"), ggvisOutput("plot2"), ggvisOutput("plot3")) | |
| ) |
ryanpraski
/ Adobe Analytics Real-Time Report API Settings.json
Created
August 17, 2016 14:29
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| { | |
| "real_time_settings":[ | |
| { | |
| "metric":"instances", | |
| "elements":[ | |
| "page", "sitesection", "referringdomain" | |
| ], | |
| "min_granularity":"1", | |
| "name":"Content Real Time Report", | |
| "ui_report":"true" |
ryanpraski
/ real-time_adobe_analytics_multiple_filters.json
Created
September 8, 2016 14:31
Multiple filters to an Adobe Analytics real-time API query
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| { | |
| "reportDescription":{ | |
| "source": "realtime", | |
| "reportSuiteID":"rtd-example", | |
| "metrics":[ | |
| {"id":"pageviews"} | |
| ], | |
| "elements": [ | |
| { | |
| "id": "page", |
ryanpraski
/ apple_health_analysis_R.r
Created
July 14, 2016 21:21
Analyze and Visualize Apple Health Kit Steps Data using R
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| library(dplyr) | |
| library(ggplot2) | |
| library(lubridate) | |
| #load steps data into data frame | |
| dfsteps <- read.csv("C:\\Users\\praskry\\Desktop\\apple_health_data\\StepCount.csv") | |
| str(dfsteps) | |
| #make endDate in a date time variable POSIXct using lubridate with eastern time zone | |
| dfsteps$endDate <-ymd_hms(dfsteps$endDate,tz="America/New_York") |
ryanpraski
/ pageScrollDepthv4.R
Last active
December 22, 2016 22:26
Google Analytics Reporting API v4 pivot table functionality example for googleAnalyticsR. This code is for Google Analtyics page scroll depth reporting. See the blog post here: http://www.ryanpraski.com/scroll-depth-tracking-analysis-with-google-analytics-r/
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| ## filter pivot results | |
| pivot_dim_filter1 <- dim_filter("eventLabel", | |
| "REGEXP", | |
| "%|#disqus") | |
| pivot_dim_clause <- filter_clause_ga4(list(pivot_dim_filter1)) | |
| pivme <- pivot_ga4("eventLabel", | |
| metrics = c("totalEvents"), | |
| maxGroupCount = 5, |
ryanpraski
/ hello_analytics_api_v3_10krows_nosampling_ryanpraski_single_csv.py
Created
February 8, 2016 20:24
Export more than 10,000 rows & a solution for the sampling limitations of Google Analytics using Python and the Google Analytics API. Includes functionality to pull data from multiple Google Analytics profiles. This version puts all data for all the profiles into a single csv file.
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| #!/usr/bin/python | |
| # -*- coding: utf-8 -*- | |
| # | |
| # Copyright 2012 Google Inc. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 |
ryanpraski
/ heatmap_page_scroll_depth_Google_Analytics_R.R
Last active
April 6, 2017 20:56
R Script to create a heatmap the visualizes Google Analytics page scroll depth tracking. Tutorial here: http://www.ryanpraski.com/r-heatmap-tutorial-for-google-analytics/
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| library(googleAnalyticsR) | |
| library(ggplot2) | |
| #Authorized Google Analytics R- this will open a webpage | |
| #You must be logged into your Google Analytics account on your web browser | |
| ga_auth() | |
| #Use google_analytics_account_list() to find the viewId. Make sure to replace this with your viewId. | |
| my_id <- 94579701 |
ryanpraski
/ heatmap_sessions_by_hour_by_day_of_week_google_analytics_R.R
Last active
April 6, 2017 21:20
R Script to create a heatmap the visualizes Google Analytics sessions by day of week and hour of the day. Tutorial: http://www.ryanpraski.com/r-heatmap-tutorial-for-google-analytics/
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| library(googleAnalyticsR) | |
| library(ggplot2) | |
| #Authorized Google Analytics R- this will open a webpage | |
| #You must be logged into your Google Analytics account on your web browser | |
| ga_auth() | |
| #Make sure to replace this with your viewId. You can use google_analytics_account_list() to find your viewId. | |
| my_id <- 94579701 |
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