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sudo: required | |
dist: trusty | |
group: edge | |
language: ruby | |
services: | |
- docker | |
cache: |
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snippet module | |
#' ${1:module_name} UI | |
#' | |
#' Shiny Module for use with \link{${1:module_name}} | |
#' | |
#' @param id Shiny id | |
#' | |
#' @return Shiny UI | |
${1:module_name}UI <- function(id){ | |
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#' Email a user a report is ready | |
#' | |
#' Requires an account at Mailgun: https://mailgun.com | |
#' Pre-verification can only send to a whitelist of emails you configure | |
#' | |
#' @param email Email to send to | |
#' @param mail_message Any extra info | |
#' | |
#' @return TRUE if successful email sent | |
#' @import httr |
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library(googleAnalyticsR) | |
library(xml2) | |
library(dplyr) | |
ga_auth() | |
## date range of URLs to test | |
dates <- c(Sys.Date() - 30, Sys.Date()) | |
##GA View ID |
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<html> | |
<head> | |
<script src="https://apis.google.com/js/api.js"></script> | |
<script> | |
function start() { | |
gapi.client.init({ | |
'apiKey': 'XXXX', | |
'discoveryDocs': ['https://language.googleapis.com/$discovery/rest?version=v1beta1'] | |
}).then(function() { | |
return gapi.client.language.documents.analyzeSentiment({ |
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I am looking for an enthusiastic self-motivated junior data programmer or student to help with my projects. | |
You are needed to work on an exciting backlog of innovation projects with me and the rest of the team at IIH Nordic. | |
Ideally you will be knowledgeable in R, Python, JS, Google Cloud and experience working with digital marketing APIs, | |
but if you only know one of those and are willing to learn that's a good start - that’s how I started. | |
Please be ready to show some practical experience, thoughts or projects based on the above. | |
IIH Nordic offers a 4 day workweek and exciting prospects. | |
Will consider remote or based out of our office in Copenhagen, Denmark. |
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--- | |
title: "Host image files on Google Cloud storage" | |
author: "Michael Whitaker" | |
date: "January 12, 2017" | |
output: | |
html_document: | |
self_contained: false | |
--- | |
```{r setup, include=FALSE} |
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## see also http://blog.revolutionanalytics.com/2017/06/doazureparallel-updated.html on how to run on Azure | |
## and cloudyr project for AWS https://github.com/cloudyr/aws.ec2 | |
# now also in docs: https://cloudyr.github.io/googleComputeEngineR/articles/massive-parallel.html | |
library(googleComputeEngineR) | |
library(future) | |
## auto auth to GCE via environment file arguments |
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library(shiny) | |
# WARNING: This sketch does not make proper use of the "state" parameter. | |
# Doing so usually involves using cookies, which can be done with the | |
# Rook package but I have not done that here. If you choose to use this | |
# approach in production, please check the state parameter properly! | |
APP_URL <- if (interactive()) { | |
# This might be useful for local development. If not, just hardcode APP_URL | |
# to the deployed URL that you'll provide a few lines below. |
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library(googleAuthR) | |
## set scopes for calendar | |
options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/calendar.readonly", | |
googleAuthR.client_id = "XXXX", ## add your Google project client Id | |
googleAuthR.client_secret = "XXXX") ## add your Google project client secret | |
## make sure calendar API is activated for your Google Project at below URL: | |
# https://console.cloud.google.com/apis/api/calendar-json.googleapis.com/overview |